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+{"origin": "fcv", "source_key": "fcv_pads_east_africa:003362:28:0", "occurrence_id": "44acc7a52d521488adddc87e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUganda Investing in Forests and Protected Areas for Climate-Smart Development Project (P170466)\n\n\n**Annex 3. Project Implementation Progress by Component**\n\n\n1. **Component 1: Improved management of protected areas.** Under **Component 1**, the project has so far financed\n(i) improvement of infrastructure and equipment for PA management, including maintenance of nine kilometers (km) of\nforest roads by NFA, demarcation of 404 km of forest boundaries in twelve Central Forest Reserves (CFR), <sup>9</sup> [^9: In Era, Ihimbo, Kakasi, Kibego, Mugangi, Nkera, North Maramagambo, Otzi East, Otzi West, Rwensambya, South Maramagambo,\nand Wati CFRs.] and purchase\nof equipment for the NFA and UWA (field vehicles, motorcycles, field equipment (binoculars and radio equipment) and\nequipment for the National Forest Monitoring System); (ii) investments aimed at the reduction of human-wildlife conflict\nthrough community-supported boundary trenching and boardwalk barriers (32 km in total), construction of 89.8 km of\nelectric fences in Queen Elizabeth National Park (NP) (QENP) and Murchison Falls NP (MFNP), supporting farmers around\nBwindi Impenetrable NP to plant 200 acres of tea as animal deterrent, and reconstruction of 14.2 km of a buffalo wall in\nMgahinga Gorilla NP (MGNP), in close collaboration with local communities; (iii) removal of invasive vegetation by UWA\nwithin PAs across over 4,618 hectares (ha); (iv) strengthening of community involvement in PA management through\nsupport to the establishment of 19 Collaborative Forest Management (CFM) groups in 13 CFRs, 81 new collaborative\nresource management (CRM) agreements under UWA, and support for park-adjacent communities through provision of\nenergy-saving stoves (over 4,400 built), rainwater harvesting systems with tanks (over 1,300 distributed and installed),\nand livelihoods training for members of the CFM and CRM groups on beekeeping,\n\nMention: \"National Forest Monitoring System\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Project finances equipment for the National Forest Monitoring System; passage does not describe analysis of its outputs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:003567:7:0", "occurrence_id": "0e12c94fc4703c74afe653ee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: legal framework with a view to ensuring coherence with the digital systems, review\nprocesses and development of applicable standard operating procedures; (c) capacity\nbuilding activities including orientation and provision of training for key stakeholders\ninvolved in the reporting, processing, analyses, storage and usage of CRVS data such as\ncivil registrars, health officials, religious and community leaders and different cadres of\nstaff at ICS, MOH and Ethiopian Statistics Service (“ESS”) including Kebeles and refugee\ncamps; (d) designing and rolling out social and behavior change communication activities;\n(e) strengthening CRVS activities in conflict-affected areas including mobile interventions\nfor vulnerable population groups; (f) supporting coordination, monitoring and evaluation\nof associated activities; and (g) supporting management of associated activities.\n\n_3._ _Technical Assistance and Capacity Building_\nProvision of technical assistance and capacity building support to the MOH as well as\ndepartments and agencies for Project implementation and supervision, including:\n(a) strengthening the following functions, namely: financial management and procurement;\ndata and management information systems including MOH vital events notification\nfunctions; monitoring and evaluation; healthcare financing arrangements; strengthening\npublic private partnerships in the sector; emergency obstetric and newborn care services as\nwell as monitoring of fraud and anti-corruption in the healthcare system; and (b) supporting\nthe expansion of comprehensive services in primary healthcare facilities and rolling out of\na new self-care package consistent with the HSTP II.\n\n_4._ _Contingency Emergency Response Component_\n\nProvision of immediate response to an Eligible Crisis or Emergency, as needed.\n\n\n7\n\nMention: \"CRVS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"CRVS data is reported, processed, analyzed, stored, and used within civil-registration and health information-system functions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:005441:61:1", "occurrence_id": "24ee8a84574ec5fae2973495", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: % progressing to the second cycle, and only two completing the third cycle.\n\n  - **The study focused on the following questions:** (i) Who are the farmers that enroll but do not order inputs? (ii)\nWhat factors discourage participation? (iii) What influences ordering and redemption among those who do\nparticipate? To answer these, farmers registered in Seasons B 2018, A 2019, B 2019, and A 2020 were tracked,\nproviding data to inform recruitment for a new e-voucher service provider.\n\n  - **Methodology:** Both qualitative (FGDs, KIIs) and quantitative (stratified sampling) methods were employed across\n25 districts. Qualitative insights informed the development of quantitative survey tools and contributed to meeting\nthe study's fourth objective. A total of 1,764 farmers were surveyed, achieving a 75% response rate.\n\n  - **Analysis:** Key analytic methods included tests for mean differences using Chi-square and t-tests to assess e-voucher\nparticipation and targeting efficiency.\n\n**5. Agro-dealer survey (to be completed)**\n\n**Annex Figure 6.E. Overview of Crop Yields (PDO 1, Left) and Household-level Total Production (PDO 2; Right) among**\n**beneficiary Farmers.**\n\n\nPage 53\n\nMention: \"Agro-dealer survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Agro-dealer survey is listed as a future data-collection source; it is explicitly marked to be completed.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:005529:10:1", "occurrence_id": "af32e830a1f8e673f7db8c0a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: OFEDs (Text)||Decisions on cases are not regularly<br>followed up.|||250 woredas (25%)|\n|Establishment of a Government system<br>for benchmarking Woreda PFM<br>performance (PFMBenchmarking Rating<br>(Text)||Operational guideline for PFM<br>Woreda benchmarking has been<br>developed; Cash management 19%;<br>and Bank reconciliation 45%|||Improve results on the selected<br>PFM indicators: Cash management<br>to 50%; and Bank reconciliation to<br>65%|\n|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|\n|Population and Housing Census<br>conducted, results released, and census<br>microdata available online (Text)||Last PHC conducted in 2007|||Micro data of 2017 PHC publically<br>accessible online|\n\n\n**PDO Table SPACE**\n\n\n\nPage 9 of **!Syntax Error**\n\nMention: \"Population and Housing Census\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Census completion and results release are tracked as development-information outputs for service delivery.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:005529:10:1", "occurrence_id": "018aeb073d134977dc35cddb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: OFEDs (Text)||Decisions on cases are not regularly<br>followed up.|||250 woredas (25%)|\n|Establishment of a Government system<br>for benchmarking Woreda PFM<br>performance (PFMBenchmarking Rating<br>(Text)||Operational guideline for PFM<br>Woreda benchmarking has been<br>developed; Cash management 19%;<br>and Bank reconciliation 45%|||Improve results on the selected<br>PFM indicators: Cash management<br>to 50%; and Bank reconciliation to<br>65%|\n|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|**Improved development information and data for service delivery**|\n|Population and Housing Census<br>conducted, results released, and census<br>microdata available online (Text)||Last PHC conducted in 2007|||Micro data of 2017 PHC publically<br>accessible online|\n\n\n**PDO Table SPACE**\n\n\n\nPage 9 of **!Syntax Error**\n\nMention: \"Micro data of 2017 PHC\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"2017 PHC microdata are made publicly accessible online; no downstream analysis is described.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:005717:18:2", "occurrence_id": "03d974b714c2632895e4e287", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to generate school-specific reports.|This indicator measures teacher presence in the classroom and teaching, in target schools for the school grants,<br>which is assessed through lesson coverage and a review/analysis of classroom observations. TSC has conducted<br>an analysis of the Teachers Performance Appraisal and Development (TPAD) data as agreed during previous<br>missions, which covers : lesson observation, lesson attendance, and the five teaching standards. The TPAD<br>system has been re-configured to generate school-specific reports.|\n|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|**Improve the Participation of Girls in Schooling.**|\n|Indicator Name|Baseline|Baseline|Actual (Previous)|Actual (Previous)|Actual (Current)|Actual (Current)|Closing Period|Closing Period|\n|Indicator Name|Result|Month/Year|Result|Date|Result|Date|Result|Month/Year|\n|Number of Vulnerable Learners<br>selected to receive a scholarship,<br>school kits and mentoring support<br>services. (Number)|17,974.00|Jan/2022|51,974|18-Oct-2024|51,974|18-Oct-2024|51,974.00|Dec/2026|\n|Number of Vulnerable\n\nMention: \"Teachers Performance Appraisal and Development (TPAD) data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"TSC analyzes TPAD data on lesson observation, attendance, and teaching standards to generate school-specific reports.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:008738:3:0", "occurrence_id": "d99d9993eb8c30705e3b38b4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIntegrated Water Management and Development Project (P163782)\n\n\n**the Northern and Eastern regions.** From 1992 to 2013, the percentage of Ugandan households living in\npoverty nearly halved. <sup>**3**</sup> [^3: From 1993 to 2013, households living in poverty went from 68.1 percent to 33.2 percent.] However, according to the Uganda Poverty Assessment Report (2016), <sup>4</sup> [^4: World Bank, The Uganda Poverty Assessment Report 2016.] in 2013\nmore than a third of Ugandans lived below the international extreme poverty line of US$1.90 per day.\nMoreover, the risk of Ugandans falling back into poverty is high; for every three Ugandans that moved out\nof poverty, two fell back into poverty. Poverty has become increasingly concentrated in Uganda’s\nNorthern and Eastern regions. Approximately 84 percent of Uganda’s poor (living below US$1.90 per day)\nreside in in the Northern and Eastern regions, where 43 percent of the residents live on less than US$1 a\nday. Economic growth in these regions has been affected by the civil conflict in South Sudan, significant\nland degradation, an influx of refugees, and climate change.\n\n\n3. **Demographic trends and urbanization pose a daunting challenge to Uganda’s economic growth**\n**and underscore the need for better urban planning and basic service provision.** Uganda’s population of\n35 million is expected to reach 80 million by 2040. Uganda’s annual urban growth rate of 5.2 percent is\namong the highest in the world, and the urban population is expected to grow from 6.4 million (2014) to\n22 million by 2040. About 60 percent of the current urban population, however, lacks basic amenities,\nsuch as decent housing and WSS services. In addition, many small towns and rural growth centers\n\nMention: \"Uganda Poverty Assessment Report\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Report provides poverty estimates and regional concentration figures cited to describe Uganda's poverty context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:009106:6:0", "occurrence_id": "600d46a3b1d74a3061446a0d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank** Implementation Status & Results Report\nEthiopia PFM Project (P150922)\n\n\nValue 90.00 96.00 93.65 95.00\n\n\nDate 30-Dec-2015 18-Dec-2018 28-Jun-2019 08-Apr-2020\n\n\n\nComments **:**\n\n\n\nOut of 1023 Woredas, 983 of them posted the simplified budget and execution reports for citizens on bill\nboards according to the regional BoFEDs report. In 2011 EFY 93.65% woredas are posted simplified\nbudget execution reports to the citizens.\n\n\n\n**Data on Financial Performance**\n\n\n**Disbursements (by loan)**\n\n\nProject Loan/Credit/TF Status Currency Original Revised Cancelled Disbursed Undisbursed % Disbursed\n\n\nP150922 IDA-57660 Effective USD 33.00 33.00 0.00 18.02 15.17 54%\n\n\n**Key Dates (by loan)**\n\n\nProject Loan/Credit/TF Status Approval Date Signing Date Effectiveness Date Orig. Closing Date Rev. Closing Date\n\n\nP150922 IDA-57660 Effective 26-Feb-2016 17-Mar-2016 18-May-2016 07-Apr-2020 07-Apr-2020\n\n\n**Cumulative Disbursements**\n\n\n8/20/2019 Page 7 of 8\n\nMention: \"Data on Financial Performance\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Loan disbursements, balances, percentages, and key dates report the project's financial performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:009246:49:0", "occurrence_id": "6721d8f5afae3c74eb629e2b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the destinations attracting increased arrivals in the near future. Of the 420 <sup>29</sup> international tourists\nsurveyed in November 2015 who visited Axum, Lalibela, and Addis Ababa, 93 percent would\nrecommend a visit to Ethiopia and 59 percent will plan to repeat their visit in the next five years.\n\n\n**Key Outcome 2: Increase in average of foreign currency spending per international tourist per day**\n**in all the three targeted destinations of Addis/Environs, Axum and Lalibela**\n\nRating: Substantial\n\n\n_Achievement of Outcome and Associated Indicators_\n\n\n5. Based on a survey conducted in November 2015 of international tourist arrivals in the\ntargeted destinations, the target average expenditure per person per day in Addis Ababa, Lalibela,\nand Axum has been exceeded. <sup>30</sup> The total average expenditure of US$361.86 is above the target\nfigure of US$350 (see table 2.17) from a baseline of US$310. If the expenditure per person per\nnight at origin is also included, this figure is increased to US$519. <sup>31</sup>\n\n\n**Table 2.17. Expenditure per Person per Day by Destination**\n\n\n\n\n\n\n\n\n\n\n|Col1|Expenditure per Person per<br>Night (US$)|Expenditure per Person per<br>Night (including Expenditures at<br>Origin) (US$)|\n|---|---|---|\n|Addis Ababa|604|653|\n|Lalibela|230|515|\n|Axum|252|390|\n|**Average**|**362**|**519**|\n\n\n\n_Attribution_\n\n\n6. Increased expenditures by tourists can be directly attributed to project activities that have\nenabled the growth of tourism-related\n\nMention: \"survey conducted in November 2015 of international tourist arrivals\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Tourist-arrival survey informs visit intentions and average spending estimates, which are compared with project targets.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:009298:8:0", "occurrence_id": "c68d2dfeac12110391d81945", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEthiopia-Transport Sector Project in Support of RSDP4 (P117731)\n\n\n**I.** **PROJECT CONTEXT AND DEVELOPMENT OBJECTIVES**\n\n\n**A. CONTEXT AT APPRAISAL**\n\n**Context**\n\n1. **In the years leading up to the approval of the Transport Sector Project in Support of RSDP4 (TSP) around**\n**2011-2012, Ethiopia was achieving impressive development results, but the country was still facing a number**\n**of development challenges.** Ethiopia had achieved annual average GDP growth of 11 percent during 20042010 according to the Government of Ethiopia (GoE) estimates (or 7-8 percent according to International\nMonetary Fund estimates), but the inflation was still unstable. Political instability and conflict remained a\npermanent constraint on development in neighboring South Sudan and Somalia. While Ethiopia was making\nthe third fastest improvements of any country towards reaching the Millennium Development Goals (MDGs)\nresulting from a long-term, concerted commitment to pro-poor development, over 80 percent of the\npopulation was living in rural areas. Agriculture, which accounted for about 85 percent of total export earnings,\nwas the main source of livelihood, keeping Ethiopia as one of the world’s poorest countries with a GDP per\ncapita of US$377 in 2009/2010. In 2010 Ethiopia ranked 157 out of 177 nations in the Human Development\nIndex (HDI). Continued investments in infrastructure, including basic road transport connectivity, were\nconsidered a major component of Ethiopia’s program towards improving development outcomes at the\nhousehold, regional, and national levels. Building on the “Sustainable Development and Poverty Reduction\nProgram” 2002-2004/5 (SDPRP), and the “Plan for Accelerated and Sustained Development to End Poverty”\n2005-2010, the GoE’s five-year development plan, the Growth and Transformation Plan\n\nMention: \"Human Development\nIndex\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Ethiopia's HDI ranking provides development context for the transport-project rationale.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:014287:7:1", "occurrence_id": "3e0b343b074e3dff2990045a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  strengthen conservation and sustainable use of\nmarine and coastal biodiversity\n\n**RESULT** **AREA** **ACHIEVEMENTS**\n**USD** 4.086m raised in revenue\n\n\n\nActivities carried out which contributed to increase\n\nin revenue generation include licensing of vessels,\n\nIndicator One: frame survey, patrols <sup>and port</sup> <sup>state</sup> <sup>measures.</sup>\n**Inao** **Oene:ao** tFrame surveys information was used to enhance\nnevenuhoe genrand tZ Gro the licensing of vessels used in in-shore areas.\nnear shore and EEZ fisheries\n\nEnforcement patrols and sensitization were also\ncarried out contributing to increase in revenue\ngeneration.\n\n\n46% females\n\n\nThe range of beneficiaries are drawn from\ncommunities running woodlots and tree nurseries,\nparticipants in ICZM Training and **EIA** Training,\n**Indicator Two:** SMEs capacity building, staff capacity building,\nDirect Project Beneficiaries HMP sub-projects, scholarships and internships for\n(number), of which female **(%)** coastal students, sea weed farming, aquaculture\n\n(fin fish farming, **BMU** training, beach inspectors\nworkshop, Fish quality, processing and marketing,\ncommunity managed areas, tour guide training,\nbiodiversity assessment training, school enrolment\nin classrooms supported **by** the project, paved\n\n\n**_6_**\n\nMention: \"tFrame surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Frame-survey information informs vessel licensing in in-shore fisheries, contributing to revenue generation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:014911:17:0", "occurrence_id": "79b5a53ceb0377c759a61cad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAdditional Financing to Uganda COVID-19 Response and Emergency Preparedness Project (P177273)\n\n\nessential workers with the first doses, notably health care workers (90 percent), teachers (66 percent) and\nsecurity personnel (63.5 percent). However, the country faces the risk of vaccine expiries, particularly of\nPfizer and AstraZeneca doses. While efforts to improved communications has improved since the COVID19 outbreak, there is still a significant gap, which continues to affect vaccine uptake especially among the\nelderly and people with comorbidities.\n\n\n**11.** **While more recent information on vaccine hesitancy is not yet unavailable, two COVID-19 High**\n**Frequency Phone Surveys** <sup>**5**</sup> **, conducted by the World Bank in October/November 2020 and February**\n**2021 suggested that over 80 percent of people would “agree to take an approved coronavirus vaccine**\n**if available at no cost.”** For refugees surveyed in separate High Frequency Surveys <sup>6</sup>, 88 percent of\nrespondents indicated that they would “agree to be vaccinated if free and safe vaccine is available.”\nExperience in the roll out, however, suggests that vaccine hesitancy may continue to be an issue and will\nneed to be addressed proactively. To tackle the challenges, the government is ramping up efforts to\nvaccinate at least 4.8 million <sup>7</sup> people by December 31, 2021, by expanding the eligible population for\nvaccination including students aged 18 years old and above, providing incentives for health care workers,\nand increasing the number of vaccination points to include markets, community playgrounds and\nrecreational centers.\n\n**_The Policy and Institutional Environment for Refugees in Uganda and Linkage to the Proposed AF_**\n\n**12.** **U\n\nMention: \"High Frequency Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Survey estimates vaccine acceptance among people and refugees, informing discussion of vaccine hesitancy and response planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:014911:54:0", "occurrence_id": "be1bc2562c34825b65e00bcc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAdditional Financing to Uganda COVID-19 Response and Emergency Preparedness Project (P177273)\n\n\naverage between 2015 and 2019, <sup>27</sup> [^27: According to official data from UBOS.] and below other countries in Eastern Africa such as Kenya, Tanzania,\nEthiopia, and Rwanda. Uganda’s economy (in real GDP terms) grew at 2.9 percent in FY20, less than half\nthe 6.8 percent recorded in FY19, due to the COVID-19 crisis. <sup>28</sup> [^28: World Bank (2020). Uganda Systematic Country Diagnostic Update.] In 2020, real per capita GDP growth rate\ndropped to -0.5 percent from 3.1 percent in 2019 due to a reduction in economic growth propagated by\nthe COVID-19 pandemic. <sup>29</sup> [^29: https://data.worldbank.org/indicator/NY.GDP.PCAP.KD.ZG?locations=UG.] Economic activity stalled due to a lockdown that lasted over four months,\nborder closures for everything but essential cargo, and spillover effects of disruption in global demand\nand supply chains due to the pandemic. This resulted in a sharp contraction in public investment and\ndeceleration in private consumption, which negatively affected industrial and service sectors, particularly\nin the informal sector. <sup>30</sup> [^30: Ibid.] COVID-19 has already had a profound negative impact on Uganda’s labor markets,\npoverty alleviation, vulnerability, and human capital development. The number of poor people in Uganda\nis projected to increase by 2.6 million in the short-term due to the pandemic. <sup>31</sup> [^31: UNDP (2020).] These shocks have severely\naffected poor households due to insufficient coverage, design, and scope of social protection programs,\nand limited access to finance and insurance. Further, refugees have been affected\n\nMention: \"official data from UBOS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Official UBOS economic figures establish the pre-pandemic growth baseline used to contextualize Uganda's downturn and social impacts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "fcv", "source_key": "fcv_pads_east_africa:019368:2:1", "occurrence_id": "62fd5442f541b952c94fb757", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  quickly as possible; and further efforts_\n_should be made to procure the remaining vehicles for AGP woredas._ Communication should also be\nfurther increased through (i) efforts already under way such as the development of a AGP “pocket\nguide” for various implementers; _(ii) the better use of an AGP website; and (ii) sharing of plans and_\n_progress with communities through public disclosure at the kebele level._ _Communication also requires_\n_better access to ITC including cell phones for M&E officers._\n\n\n9. **Revision of AGP Implementation Manual (PIM).** The PIM was revised (i) to reflect the\ninclusion of the ATA as a new IA into the AGP and (ii) to clarify, strengthen or revise the following\nPIM Annexes: Financial Management; Procurement; Monitoring, Evaluation and Learning;\nCommunity-level Participatory Planning (CLPP); and Environmental and Social Management\nFramework (ESMF). The revised PIM including Annexes were cleared by the Bank and adopted by the\nMoA for the AGP. _The federal and regional CUs now need to translate the PIM and its Annexes, or at_\n_least all sections relevant for woredas, kebeles, and communities, into local languages and disseminate_\n_them widely throughout the system._\n\n\n10. **Planning.** Weaknesses in planning as observed during the first JRIS have continued over the\npast six months. _There is an urgent need to now determine all details of the current Ethiopian Fiscal_\n_Year 2004 (EFY2004) necessary for implementation, including in detailed training and procurement_\n_plans._ In order to avoid the mistakes made during the EFY04 planning process, more attention and time\nshould be given to the process for EFY05; and the federal and regional CUs should provide clear\nguidance and support to the woredas, kebeles and\n\nMention: \"JRIS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Planning weaknesses observed during the first JRIS inform follow-up planning and implementation support.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000015:11:0", "occurrence_id": "1ce69cf4f78f3d2f8a4cbeec", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Finally, there are a small number of countries/regions that have ILO data on the total number of employees\nand employers, but are missing data on the non-agricultural share of employees (they are also missing JOIN data). <sup>26</sup> [^26: The ILO series used here is “Employment distribution by status in employment (by sex) (%) – Annual”, downloaded from\n<u>[https://www.ilo.org/shinyapps/bulkexplorer7/ on 22nd January 2020.](https://www.ilo.org/shinyapps/bulkexplorer7/)</u>]\nIn these countries, I interpolate the agricultural share of employees in several different ways, which allows me to\nkeep these countries/regions in the sample (see Pennings (2020) for details). Data on the HCI (combined for both\ngenders), is taken from the 2020 Human Capital Update. <sup>27</sup> [^27: <u>[https://www.worldbank.org/en/publication/human-capital](https://www.worldbank.org/en/publication/human-capital)</u> and <u>[https://development-data-hub-s3-](https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx)</u>\n<u>[public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx](https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx)</u> (vintage at release in September 2020).] For five countries (Finland, Lithuania, Moldova, the\nSeychelles and Togo) the full GEGI as calculated by Equation 5 is slightly negative, and so in these cases I round up\nthe full GEGI to zero so it is between 0 and 100%.\n\n**3.4 Results\n\nMention: \"ILO data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ILO employment-distribution series supplies employee/employer counts and agricultural-share inputs used in the study's interpolation and sample construction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000015:11:0", "occurrence_id": "79002e5e3a4077fc54d3a7ab", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Finally, there are a small number of countries/regions that have ILO data on the total number of employees\nand employers, but are missing data on the non-agricultural share of employees (they are also missing JOIN data). <sup>26</sup> [^26: The ILO series used here is “Employment distribution by status in employment (by sex) (%) – Annual”, downloaded from\n<u>[https://www.ilo.org/shinyapps/bulkexplorer7/ on 22nd January 2020.](https://www.ilo.org/shinyapps/bulkexplorer7/)</u>]\nIn these countries, I interpolate the agricultural share of employees in several different ways, which allows me to\nkeep these countries/regions in the sample (see Pennings (2020) for details). Data on the HCI (combined for both\ngenders), is taken from the 2020 Human Capital Update. <sup>27</sup> [^27: <u>[https://www.worldbank.org/en/publication/human-capital](https://www.worldbank.org/en/publication/human-capital)</u> and <u>[https://development-data-hub-s3-](https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx)</u>\n<u>[public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx](https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx)</u> (vintage at release in September 2020).] For five countries (Finland, Lithuania, Moldova, the\nSeychelles and Togo) the full GEGI as calculated by Equation 5 is slightly negative, and so in these cases I round up\nthe full GEGI to zero so it is between 0 and 100%.\n\n**3.4 Results\n\nMention: \"Data on the HCI\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"HCI data, combined across genders, is an input to the study's calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000015:11:0", "occurrence_id": "90ac943773e6066670b06c68", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Finally, there are a small number of countries/regions that have ILO data on the total number of employees\nand employers, but are missing data on the non-agricultural share of employees (they are also missing JOIN data). <sup>26</sup> [^26: The ILO series used here is “Employment distribution by status in employment (by sex) (%) – Annual”, downloaded from\n<u>[https://www.ilo.org/shinyapps/bulkexplorer7/ on 22nd January 2020.](https://www.ilo.org/shinyapps/bulkexplorer7/)</u>]\nIn these countries, I interpolate the agricultural share of employees in several different ways, which allows me to\nkeep these countries/regions in the sample (see Pennings (2020) for details). Data on the HCI (combined for both\ngenders), is taken from the 2020 Human Capital Update. <sup>27</sup> [^27: <u>[https://www.worldbank.org/en/publication/human-capital](https://www.worldbank.org/en/publication/human-capital)</u> and <u>[https://development-data-hub-s3-](https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx)</u>\n<u>[public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx](https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/144347/hci_data_september_2020.xlsx)</u> (vintage at release in September 2020).] For five countries (Finland, Lithuania, Moldova, the\nSeychelles and Togo) the full GEGI as calculated by Equation 5 is slightly negative, and so in these cases I round up\nthe full GEGI to zero so it is between 0 and 100%.\n\n**3.4 Results\n\nMention: \"2020 Human Capital Update\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"The 2020 Human Capital Update is the cited source for HCI data used in the study.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000043:18:0", "occurrence_id": "7e6c88120327f4277a39e72c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: estimates the effect of the two treatment types (10- and 20-sessions of the CBT workshop)\ncontrolling only for school fixed effects. Columns (2) and (6) show the results for the baseline\nspecification discussed above, with full set of controls. In Columns (3) and (7) we present the\nresults combining the two treatment types. Since only those students who appeared in the school\nrecords in April 2017 were invited to the survey measuring socio-emotional skills, there might\nhave been self-selection. For this reason, in columns (4) and (8) we present the results accounting\nfor the possible self-selection into the survey for applying two-stage Heckman procedures, with\nteacher fixed effects as exclusion restriction. The underlying rationale is that specific teachers\nmight have been more active than others in keeping children in school until the survey was taken.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Col1|Table 3: ITT on Socio-emotional skills (1) (2) (3) (4) (5) (6) (7) (8)|\n|---|---|\n|<br> <br> <br>|(1)<br>(2)<br>(3)<br>(4)<br>(5)<br>(6)<br>(7)<br>(8)<br>Std Bartlett score - PLANEA<br>Std Bartlett score - BarOn<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|\n|10 Sessions<br> <br>20 Sessions<br> <br>Combined 10 and 20<br>sessions<br> <br>Inverse of Mills Ratio<br> <br>Observations\n\nMention: \"school\nrecords\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"April 2017 school records identify students invited to the socio-emotional-skills survey and inform adjustment for possible self-selection.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000044:27:1", "occurrence_id": "ead253e5220de584c507a0bb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in a country like Papua New Guinea, where the bulk\nof the population do not currently have access to social media, the main task of increasing people’s\nwillingness to be vaccinated will fall to individuals delivering information in person. Health workers, both\nbecause of the nature of their job, and the high levels of trust revealed in the phone survey, will be\nexcellent candidates to deliver information on vaccines. What needs to be learnt now is which specific\ntypes of messages are most likely to increase trust in vaccines when delivered in person by health\nworkers. As programs are rolled out in the field, an experimental approach could be adopted to ensure\nas much is learnt as possible about how vaccine hesitancy can be improved in practice.\n\n\nWe believe there is also scope to learn more about the most effective interventions involving norms. We\nused one particular phrase designed to suggest that vaccine uptake was common. This had some effect,\nat least on a subset of the population. However, there are many ways to suggest a community norm\nexists. It may be the case that other phrases and approaches are more effective at this task. There is\nscope for further research trying to discover which approaches are most effective at evoking community\nnorms.\n\n\nFinally, from a more theoretical perspective, there is scope for further work investigating why some of\nour experimental treatments were quite effective in reducing vaccine hesitancy, in contrast to the\ntreatments in many studies from OECD countries. It would be very useful to learn whether differences\nstem from different country contexts, different experimental treatments, or differing types of\nopposition to vaccines – perhaps our experiment was successful simply because vaccine hesitancy in\nPNG is genuine hesitancy associated with trying a new medical intervention as opposed to being an\nentrenched position associated with particular world views. There is a need for more learning in this\narea.\n\n**7. Reference list**\n\n\n26\n\nMention: \"phone survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Phone-survey findings about trust inform recommendations for health workers to deliver vaccine information in person.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000056:24:0", "occurrence_id": "6123188d7e69d3efa0b17f89", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Magee, C. S. (2008). New measures of trade creation and trade diversion. _Journal_\n\n\n_of_ _International_ _Economics_, 75(2):349–362.\n\n\nMattoo, A., Mulabdic, A., and Ruta, M. (2019). Trade creation and trade diversion\n\n\nin deep agreements. _World_ _Bank_ _Policy_ _Research_ _Working_ _Paper_ _No._ _8206_ .\n\n\nObstfeld, M. and Rogoff, K. (2000). The six major puzzles in international macroe\n\nconomics: is there a common cause? _NBER_ _macroeconomics_ _annual_, 15:339–390.\n\n\nRodrik, D. (2018). What do trade agreements really do? Working Paper 24344,\n\nNational Bureau of Economic Research.\n\n\nRouzet, D. and Miroudot, S. (2013). The cumulative impact of trade barriers along\n\n\nthe value chain: An empirical assessment using the oecd inter-country input\noutput model’. In _16th_ _Annual_ _Conference_ _on_ _Global_ _Economic_ _Analysis_ .\n\n\nSilva, J. M. C. S. and Tenreyro, S. (2006). The log of gravity. _The_ _Review_ _of_\n\n_Economics_ _and_ _Statistics_, 88(4):641–658.\n\n\nTimmer, M., Los, B., Stehrer, R., and de Vries, G. (2016). An anatomy of the global\n\n\ntrade slowdown based on the wiod 2016 release. GGDC Research Memorandum\n\nGD-162, Groningen Growth and Development Centre, University of Groningen.\n\n\nViner, J. (1950). The customs union issue. _Carnegie_ _Endowment\n\nMention: \"wiod 2016 release\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Reference cites research based on the WIOD 2016 release; current passage provides a bibliography entry, not direct database analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000057:27:1", "occurrence_id": "b6c64c2344f14cf90c74d58c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sup>16</sup>\n\n\nThe analysis in this study makes use of a programming model designed to produce a consistent\nquantitative framework for the Sierra Leone rice sector in order to simulate the effects of policy\ninterventions as well as the potential impact of technical progress in the sector. The model is largely based\non survey information collected in 2016. Importantly, the model is disaggregated across the five rice\necologies, thereby providing a richer set of simulation results. Furthermore, since the model includes\nboth household as well as hired-in or temporary labor, some sense of the distributional impact of different\ntrade or labor policy can be gleaned from the simulations.\n\n\nSimulation of the base year as a basic validation test showed that the sector model performed well with\nonly minor deviations between the survey data and the simulated results, with the exception of\nemployment, where the simulated level of employment was lower than for the survey. This finding\nsuggests that the sector is not optimal in the use of labor and is entirely consistent with the narrative of\nhigh levels of unemployment and underemployment in Sierra Leone. Over the 10-year period between\n2009 and 2018 the unemployment rate in Sierra Leone has averaged 8.25 percent per year. <sup>17</sup> [^17: World Bank, World Development Indicators.]\n\n\nThe simulation of the base year also suggests that Sierra Leone’s rice sector is operating at a sub-optimal\nlevel in the use of one critical resource—land. The use of two of the most productive ecologies—Mangrove\nSwamp and Riverain are well below their availabilities. The sub-optimal use of these two ecologies is\nreflected in the shadow prices. The shadow prices for a hectare of Mangrove Swamp and Riverain are\n$615.76 and $107.89, respectively. This means that bringing an additional hectare of the former ecology\ninto production would increase producer/consumer surplus by $615.76 and an additional hectare of\n\n\n16 The ‘hunger season’ runs usually from May to December\n\nMention: \"survey information\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"2016 survey information parameterizes the rice-sector model and provides comparison data for base-year validation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000079:45:1", "occurrence_id": "4398e0025fc2177508405a65", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 24\nTajikistan 3.18 3.27 3.27 1.95\nTanzania 0.88 1.06 1.06 2.29\nUganda 1.77 1.90 1.96 2.11\n**<u>Mean</u>** **<u>1.88</u>** **<u>2.02</u>** **<u>2.08</u>** **<u>2.15</u>**\n_Notes_ : Column (1) reproduces national poverty lines from Ferreira et al. (2016). Column (2) updates both PPPs and\nCPIs to the 2017 ICP reference year, while incorporating the revisions to the CPI data used in deriving the $1.90 line.\nColumn (3) updates both PPPs and CPIs to the 2017 ICP reference year, without incorporating the revisions to CPI\ndata used in deriving the $1.90 line. Column (4) takes the $1.90 line as given for all countries and updates the $1.90\nline with both PPPs and updated CPIs to the 2017 reference year. See Appendix E, section 2 for the derivations. If we\nupdated the IPL with US inflation between 2011 and 2017 (i.e., approximately 9%), the new IPL would be $2.07.\n\n\n\n_<u>(3)</u>_\n\n\n\n44\n\nMention: \"CPI data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"CPI data revisions are incorporated when updating the price-based international poverty line to the 2017 reference year.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000097:11:0", "occurrence_id": "35baa9e1ce2fd17dceee1aa1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **c. Average risk-weighted assets over total assets**\n\n\nSource: Archived data from Bureau van Dijk’s Bankscope, BankFocus and staff calculations.\nNote: Off-shore financial centers are excluded from the calculations. Panel A, B and C present country averages across country groups. Banks are\nweighted by total assets within a group (top 20% banks) and country in each year, and countries are equally weighted within a country grouping\n(i.e., a simple average of country-level average ratios for either top 20% banks or the other banks within high-income and developing countries is\ntaken) in each year. A country is included in the calculations in each year if it has data for at least 5 individual banks. Banks are included in the\ncalculations if total assets are larger than USD 10 million.\n\n\nBeyond the levels of the Tier 1 capital ratio, another aspect of the quality of bank capital is the\n\n\nbalance-sheet items allowed in the computation of Tier 1 regulatory capital. As shown in Figure 4, Panels\n\n\nA, B, and C, between BRSS rounds 4 and 5 more countries allowed hybrid debt capital instruments, asset\n\n\nrevaluation gains, and subordinated debt to be used in the computation of Tier 1 capital, although with\n\n\nimportant regional differences. In general, a higher proportion of high-income OECD countries allowed\n\n\nalternative capital instruments to be counted as Tier 1 capital. There was also a notable change between\n\n\nwave 4 and wave 5 in the proportion of countries allowing asset revaluation gains and subordinated debt\n\n\ninto Tier 1 capital, predominantly for high-income OECD countries and developing countries, specifically\n\n\nfor countries in the developing regions EAP, ECA and SSA. Broadening the definition of Tier 1 capital in\n\n\nthis way raises at least three concerns, especially for developing countries. First, a broader definition of\n\n\nbank regulatory capital may increase opacity for private monitors in assessing bank risk, an issue\n\n\nhighlighted by the GFC (see, for instance, Haldane\n\nMention: \"Bankscope\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Archived Bankscope data and staff calculations support analysis of bank assets and regulatory-capital ratios across country groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000097:11:0", "occurrence_id": "ad57859bd93bf217e0384e29", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **c. Average risk-weighted assets over total assets**\n\n\nSource: Archived data from Bureau van Dijk’s Bankscope, BankFocus and staff calculations.\nNote: Off-shore financial centers are excluded from the calculations. Panel A, B and C present country averages across country groups. Banks are\nweighted by total assets within a group (top 20% banks) and country in each year, and countries are equally weighted within a country grouping\n(i.e., a simple average of country-level average ratios for either top 20% banks or the other banks within high-income and developing countries is\ntaken) in each year. A country is included in the calculations in each year if it has data for at least 5 individual banks. Banks are included in the\ncalculations if total assets are larger than USD 10 million.\n\n\nBeyond the levels of the Tier 1 capital ratio, another aspect of the quality of bank capital is the\n\n\nbalance-sheet items allowed in the computation of Tier 1 regulatory capital. As shown in Figure 4, Panels\n\n\nA, B, and C, between BRSS rounds 4 and 5 more countries allowed hybrid debt capital instruments, asset\n\n\nrevaluation gains, and subordinated debt to be used in the computation of Tier 1 capital, although with\n\n\nimportant regional differences. In general, a higher proportion of high-income OECD countries allowed\n\n\nalternative capital instruments to be counted as Tier 1 capital. There was also a notable change between\n\n\nwave 4 and wave 5 in the proportion of countries allowing asset revaluation gains and subordinated debt\n\n\ninto Tier 1 capital, predominantly for high-income OECD countries and developing countries, specifically\n\n\nfor countries in the developing regions EAP, ECA and SSA. Broadening the definition of Tier 1 capital in\n\n\nthis way raises at least three concerns, especially for developing countries. First, a broader definition of\n\n\nbank regulatory capital may increase opacity for private monitors in assessing bank risk, an issue\n\n\nhighlighted by the GFC (see, for instance, Haldane\n\nMention: \"BankFocus\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Archived BankFocus data and staff calculations support analysis of bank assets and regulatory-capital ratios across country groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000105:4:0", "occurrence_id": "424b3892d655b9d485f34364", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: of the existing infrastructure stock by the intended users. For instance, Public Expenditure\n\nReviews (PER) of the water supply and sanitation sector have shown inefficiencies constituting\n\nbetween 20% and 40% in the use of available inputs. Moreover, several infrastructure sectors\n\nsuch as energy and water supply and sanitation, face significant revenue losses due to\n\ntransmission losses and nonpayment by users. Globally, utilities lose an estimated $39 billion of\n\nbillable water and $96 billion in electricity each year due to transmission losses and non-payment\n\n(Liemberger et al, 2019; Northeast Group, 2017).\n\nHowever, governments are often constrained in stepping up public spending on infrastructure\n\ndue to a number of reasons such as limited fiscal space, political economy constraints and\n\nefficiency considerations. It is partly for this reason that international organizations have placed\n\ntheir faith in the potential for Public Private Partnerships (PPPs) to not just boost investment but\n\nalso improve project efficiency since they first became popular in the 1980s (Fay et al. (2019)).\n\nHowever, not only are the efficiency gains of privatization contested (Fabre & Straub, 2019), but\n\nplacing such faith in the private sector when it represents a maximum of 5 percent of yearly\n\ninvestments in infrastructure in developing countries (Fay et al. (2019)) is arguably too narrow a\n\nfocus. This underscores the need to not just increase private investment, but to maximize the\n\nefficiency of public resources. Increasing public spending in the infrastructure sectors may also\n\nfoster crowding in of private investments, thereby creating a virtuous circle.\n\n\nSeveral unique characteristics of the infrastructure sectors - to include the water, sanitation,\n\ntransport and energy sectors - have played a role in further aggravating these challenges, even in\n\nthe ideal world of traditional neo-classical economics. According to traditional economic theory,\n\ncompetitive markets lead to efficient allocation of resources (Arrow and Debreu, 1954). In the\n\nframework of the traditional economic theory, existence of market imperfections such as market\n\nfailures\n\nMention: \"Public Expenditure\n\nReviews\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"PER findings quantify input-use inefficiencies in water and sanitation and support the argument for better public-expenditure efficiency.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000138:5:1", "occurrence_id": "662c43c16d8ceaabcec2b425", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n##### **2 Context and interventions**\n\n\n**2.1** **Context**\n\n\nOur study took place in Latur and Nanded districts in the South-Eastern part of Maharashtra, one of\n\n\nthe largest states in India. Though it is also one of the richest states in India, there is evidence of\n\n\nsevere inequalities within the State, with Latur and Nanded districts regularly classed to be among the\n\n\nmost deprived parts of Maharashtra. Data from the 2012-2013 District Level Household Survey (DLHS-4)\n\n\nindicate that around 21% (18.7%) of households in Latur and Nanded (rural India) owned a Below Poverty\n\n\nLine (BPL) card, 56.6% (46.25%) of households owned land, and that household heads had around 4.16\n\n\n(3.98) years of education. Agriculture is the main economic activity in the rural areas of these districts,\n\n\nwith over 70% of people engaged in the primary sector.\n\n\nLatur and Nanded districts lag behind rural Maharastra and rural India on average in terms of\n\n\nsanitation coverage. The DLHS-4 data indicate that only around 24% of households owned a toilet on\n\n\naverage in those districts, compared to 38% in rural Maharashtra and 56% in rural India. Our study\n\n\nfocused specifically on clients of a large MFI, who came from relatively more deprived households in rural\n\n\nLatur and Nanded. Indeed, data from a baseline survey conducted in 2014/15 indicate that around 41.9%\n\n\nof client households had a BPL card, compared to 21% for Latur and Nanded in the DLHS-4 data, and\n\n\nonly 44% of households owned land (relative to 56.6% in rural Latur and Nanded). Toilet coverage among\n\n\nthese households was similar to that for rural parts of the districts: In 2014-15, our survey data indicate\n\n\nthat around\n\nMention: \"2012-2013 District Level Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DLHS-4 estimates household poverty, land ownership, education, agriculture, and sanitation in Latur and Nanded, providing study context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000138:5:1", "occurrence_id": "bdc4975a9820cc035d054ed2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n##### **2 Context and interventions**\n\n\n**2.1** **Context**\n\n\nOur study took place in Latur and Nanded districts in the South-Eastern part of Maharashtra, one of\n\n\nthe largest states in India. Though it is also one of the richest states in India, there is evidence of\n\n\nsevere inequalities within the State, with Latur and Nanded districts regularly classed to be among the\n\n\nmost deprived parts of Maharashtra. Data from the 2012-2013 District Level Household Survey (DLHS-4)\n\n\nindicate that around 21% (18.7%) of households in Latur and Nanded (rural India) owned a Below Poverty\n\n\nLine (BPL) card, 56.6% (46.25%) of households owned land, and that household heads had around 4.16\n\n\n(3.98) years of education. Agriculture is the main economic activity in the rural areas of these districts,\n\n\nwith over 70% of people engaged in the primary sector.\n\n\nLatur and Nanded districts lag behind rural Maharastra and rural India on average in terms of\n\n\nsanitation coverage. The DLHS-4 data indicate that only around 24% of households owned a toilet on\n\n\naverage in those districts, compared to 38% in rural Maharashtra and 56% in rural India. Our study\n\n\nfocused specifically on clients of a large MFI, who came from relatively more deprived households in rural\n\n\nLatur and Nanded. Indeed, data from a baseline survey conducted in 2014/15 indicate that around 41.9%\n\n\nof client households had a BPL card, compared to 21% for Latur and Nanded in the DLHS-4 data, and\n\n\nonly 44% of households owned land (relative to 56.6% in rural Latur and Nanded). Toilet coverage among\n\n\nthese households was similar to that for rural parts of the districts: In 2014-15, our survey data indicate\n\n\nthat around\n\nMention: \"baseline survey conducted in 2014/15\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Baseline survey describes client-household poverty and land ownership, compared with DLHS-4 district estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000148:19:0", "occurrence_id": "d324b2206f0abfab272ab2f7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: evidence, the likelihood of defaulting on a loan to finance a micro-enterprise is considerably\n\nhigher than for a migration loan.\n\n\nFigure 6: Financing for migration\n\n\n(a) Ever raised funds from the following source (b) Share borrowed\n\n\n_Note:_ Panel (a) shows the share of migrants who had ever raised funds for migration from each\nsource. Migrants could raise funds from multiple sources as listed. Panel (b) shows the\ndistribution of borrowings as the share of migration costs.\n_Source:_ Bangladesh Return Migrant Survey 2018/19.\n\n\nIn our sample, 56% of migrants have borrowed from relatives, friends, or financial in\nstitutions to raise the funds for migration (Panel (a) of Figure 6). On average, 42% of the\n\ncosts are financed by loans, which implies a debt-to-equity ratio of 0.72. Panel (b) of Figure\n\n6 displays the full distribution of the fraction of migration costs covered through loans. The\n\nneed to borrow for migration depends on a household’s income. As Figure 7 shows, when\n\nfacing higher financial pressure, measured by the ratio of migration costs over household\n\nincome, individuals tend to raise more debts for migration.\n\n\nTaking “leverage” and borrowing costs into account, we can compute the rate of return\n\nto the migration endeavor. Based on Mallick (2012) and Berg et al. (2013), we assume an\n\nannual interest rate for migration loans of _i_ = 22%, which is also within the range of interest\n\nrates reported by A. Islam et al. (2015). Assuming further that loans are repaid when either\n\nmigrants have accumulated enough savings or at the end of the migration spell, depending\n\n\ntotal incomes. We then compare this to the average initial capital investment reported in the World Bank\nFormal and Informal Enterprise Survey for Bangladesh.\n\n\n18\n\nMention: \"Bangladesh Return Migrant Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey data support estimates of migrants' funding sources, loan shares, and migration costs used to calculate returns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000148:19:0", "occurrence_id": "c4bb154e0426c952a148a273", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: evidence, the likelihood of defaulting on a loan to finance a micro-enterprise is considerably\n\nhigher than for a migration loan.\n\n\nFigure 6: Financing for migration\n\n\n(a) Ever raised funds from the following source (b) Share borrowed\n\n\n_Note:_ Panel (a) shows the share of migrants who had ever raised funds for migration from each\nsource. Migrants could raise funds from multiple sources as listed. Panel (b) shows the\ndistribution of borrowings as the share of migration costs.\n_Source:_ Bangladesh Return Migrant Survey 2018/19.\n\n\nIn our sample, 56% of migrants have borrowed from relatives, friends, or financial in\nstitutions to raise the funds for migration (Panel (a) of Figure 6). On average, 42% of the\n\ncosts are financed by loans, which implies a debt-to-equity ratio of 0.72. Panel (b) of Figure\n\n6 displays the full distribution of the fraction of migration costs covered through loans. The\n\nneed to borrow for migration depends on a household’s income. As Figure 7 shows, when\n\nfacing higher financial pressure, measured by the ratio of migration costs over household\n\nincome, individuals tend to raise more debts for migration.\n\n\nTaking “leverage” and borrowing costs into account, we can compute the rate of return\n\nto the migration endeavor. Based on Mallick (2012) and Berg et al. (2013), we assume an\n\nannual interest rate for migration loans of _i_ = 22%, which is also within the range of interest\n\nrates reported by A. Islam et al. (2015). Assuming further that loans are repaid when either\n\nmigrants have accumulated enough savings or at the end of the migration spell, depending\n\n\ntotal incomes. We then compare this to the average initial capital investment reported in the World Bank\nFormal and Informal Enterprise Survey for Bangladesh.\n\n\n18\n\nMention: \"World Bank\nFormal and Informal Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"The survey provides a comparison value for average initial capital investment in Bangladesh.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000188:4:2", "occurrence_id": "f66906215867adb722be6917", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  quality standards</mark>\n<mark>(Schweinhart et al 2005).</mark>\n\n\nDemand for childcare services may be limited by a number of factors, including affordability,\naccessibility and quality (Mateo Días & Rodríguez-Chamussy 2016). Mateo Díaz and RodriguezChamussy (2016) cite evidence according to which the distance to a childcare center has been\nassociated with the decision to enroll children (or not). At the same time, the demand for childcare\nservices in Mexico does not seem to be exclusively determined by market variables (price, quality\nand quantity), but also by cultural factors and social norms. The notion that women are responsible\nfor the care of children and the elderly is still widespread among Mexican households (Arceo Gómez\n& Santillán 2018). Arceo Gómez and Santillán (2018) analyze data from the ELCOS Survey (Encuesta\n\n\n3\n\nMention: \"ELCOS Survey\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"A cited study analyzes ELCOS survey data in discussion of childcare demand, enrollment, and social norms in Mexico.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000188:4:2", "occurrence_id": "8d350a865e82e1ae356c7c4d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  quality standards</mark>\n<mark>(Schweinhart et al 2005).</mark>\n\n\nDemand for childcare services may be limited by a number of factors, including affordability,\naccessibility and quality (Mateo Días & Rodríguez-Chamussy 2016). Mateo Díaz and RodriguezChamussy (2016) cite evidence according to which the distance to a childcare center has been\nassociated with the decision to enroll children (or not). At the same time, the demand for childcare\nservices in Mexico does not seem to be exclusively determined by market variables (price, quality\nand quantity), but also by cultural factors and social norms. The notion that women are responsible\nfor the care of children and the elderly is still widespread among Mexican households (Arceo Gómez\n& Santillán 2018). Arceo Gómez and Santillán (2018) analyze data from the ELCOS Survey (Encuesta\n\n\n3\n\nMention: \"Encuesta\n\n\n3\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"This Spanish-name portion identifies the same ELCOS survey analyzed by the cited study on Mexican childcare and social norms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000189:22:1", "occurrence_id": "726c8b2ab570bdb1a097a773", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  flower industry in Kenya (see Macchiavello\n\n\nand Morjaria, 2013) or their work on the coffee value chain in Rwanda (Machiavello and Morjaria,\n\n\n2019).\n\n\nOne of the initial goals of the 2020 World Development Report was to attempt to provide\n\n\na bridge between this case-study-based literature and the broader empirical literature on GVC\n\n\nparticipation. The idea was to develop firm-level and product-level measures of the extent to\n\n\nwhich the GVC participation of firms is relational in nature, and the extent to which international\n\n\ntransactions associated with a given product tend to be relational in nature. More specifically,\n\n\nthe aim was to exploit the panel nature of some of the datasets available from the World Bank’s\n\n\nExporter Dynamics Database (EDD) to construct measures of the observed persistence of firm\n\nto-firm transactions, perhaps partialling out various natural determinants of persistence (such as\n\n\nexchange rate volatility). This is very much in line with the measure of “relationship stickiness”\n\n\nproposed by Martin et al. (2018), which they compute using detailed firm-to-firm export data from\n\n\nFrance. The hope was to “scale up”this approach and apply it to various countries, with the initial\n\n\ngoal of verifying whether there was a significant positive rank-correlation in product-level stickiness\n\n\nacross countries. Such a finding would indicate that there is a significant product-level dimension\n\n\nto stickiness that is likely to render GVC participation in certain goods particularly prone to be\n\n\nrelational in nature. With such finding at hand, one could use standard industry concordances\n\n\nto construct a global Input-Output table that separates trade flows associated with traditional\n\n\n21\n\nMention: \"Exporter Dynamics Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Exporter Dynamics Database panel data are proposed as inputs to firm-to-firm transaction-persistence measures for global-value-chain research.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000189:22:1", "occurrence_id": "1ce06fec8d7ef92f96ca175f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  flower industry in Kenya (see Macchiavello\n\n\nand Morjaria, 2013) or their work on the coffee value chain in Rwanda (Machiavello and Morjaria,\n\n\n2019).\n\n\nOne of the initial goals of the 2020 World Development Report was to attempt to provide\n\n\na bridge between this case-study-based literature and the broader empirical literature on GVC\n\n\nparticipation. The idea was to develop firm-level and product-level measures of the extent to\n\n\nwhich the GVC participation of firms is relational in nature, and the extent to which international\n\n\ntransactions associated with a given product tend to be relational in nature. More specifically,\n\n\nthe aim was to exploit the panel nature of some of the datasets available from the World Bank’s\n\n\nExporter Dynamics Database (EDD) to construct measures of the observed persistence of firm\n\nto-firm transactions, perhaps partialling out various natural determinants of persistence (such as\n\n\nexchange rate volatility). This is very much in line with the measure of “relationship stickiness”\n\n\nproposed by Martin et al. (2018), which they compute using detailed firm-to-firm export data from\n\n\nFrance. The hope was to “scale up”this approach and apply it to various countries, with the initial\n\n\ngoal of verifying whether there was a significant positive rank-correlation in product-level stickiness\n\n\nacross countries. Such a finding would indicate that there is a significant product-level dimension\n\n\nto stickiness that is likely to render GVC participation in certain goods particularly prone to be\n\n\nrelational in nature. With such finding at hand, one could use standard industry concordances\n\n\nto construct a global Input-Output table that separates trade flows associated with traditional\n\n\n21\n\nMention: \"global Input-Output table\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"A proposed global input-output table would be constructed from industry concordances to separate trade flows.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000209:15:2", "occurrence_id": "b23871df18beaae618164726", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (2017), and can be accessed here\n<u>https://goo.gl/HgdbBv.</u> To calculate the dry grain-equivalent harvest quantities, we start with the UCA+UNPS\naugmented database that contains the kilogram value for each measurement unit-condition-state combination. We\nmerge this file at the unit-condition-state level to each of the reported harvests on the maize plot, and multiply the\nreported quantity with the conversion factor to calculate an initial kg-equivalence. Further, there are two domains of\nraw harvest quantities – those that are reported on the cob versus those that are reported as grain. We first work in\nthese domains separately. Within the “cob” domain, we adjust the initial kg-equivalence for all harvest quantities such\nthat they would be reported in terms of the condition “dry, after additional drying” and state “with cob, without husk\nor stalk” The adjustments are precisely the conversion factor ratios within the cob domain between the preferred\ncondition-state combination and all other observed combinations. Within the “grain” domain, we carry out a similar\nadjustment procedure such that all harvested quantities are expressed in terms of condition “dry after additional\ndrying” and state “grain.” The final adjustment is for expressing the standardized harvest quantities within the cob\ndomain in terms of condition “dry after additional drying” and state “grain.” To do this, we first compute EA-specific\n\n\n14\n\nMention: \"UCA+UNPS\naugmented database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"The augmented database supplies unit-conversion factors merged with maize harvest records to standardize quantities as dry grain equivalents.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000221:7:0", "occurrence_id": "02176be01795a1521559e5b3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 1: Trade measures for medical products (weekly, January-July 2020)**\n\n**_Export restrictions_** **_Import liberalization_**\n\n\n\n\n\n\n\n**_Note:_** The data at the end of each week do not consider the measures that were removed (with a removal date in\nthat week).\n\n\n**Figure 2. Duration of trade measures for medical products by implementation date**\n\n\n_Source:_ COVID-19 Trade Policy database, own calculations _._\n\n\nHigh and upper middle-income countries, according to the World Bank income classification,\nenacted more trade policy measures targeting the medical sector than other countries (Evenett\net al. 2020). As already mentioned, many of the trade restrictive and liberalizing measures that\nwere adopted to increase the availability of personal protective equipment and medical supplies\nat the beginning of the COVID-19 pandemic outbreak, were subsequently removed. We\nconsider this dynamic in the empirical analysis.\n\n\n6\n\nMention: \"COVID-19 Trade Policy database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Trade-policy records on medical products are used to calculate measure timing and duration and analyze restrictions and liberalization.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000308:11:1", "occurrence_id": "41d5126f2202a9167f1356b6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: u> <u>4</u> <u>50%</u> <u>7</u> <u>86%</u>\nSource: Authors’ calculations based on Dealogic data.\n\n\nOnly a few governments became first-time dollar bond issuers after the crisis, but most of those\ncame from either Eastern Europe or Africa and issued under U.K. governing law. This close connection\nbetween the U.K.’s governing law effect and the U.K.’s status as the jurisdiction of choice for first-time\nsovereign dollar issuances is analyzed more formally in the results section.\n\n\nThe importance of SEC registration also deserves analysis. Firstly, some categories of investors\nsimply exclude non-SEC registered bonds from their eligible universe. For example, it is common for some\nExchange-Traded Funds whose investment strategies consist of tracking an underlying index to select only\nSEC registered bonds. Previous research has also shown that firms that opt out of SEC registration are\nprecisely those that exhibit a deteriorating performance (Leuza, Triantis and Wang 2008). It is then\nreasonable to ask whether investors could have a negative perception of foreign governments with a reduced\ncommitment to disclosure. The SEC requires that, when selling securities in the United States, foreign\ngovernments not only file for the initial registration but also submit an annual report in subsequent years.\nThis filing (form 18-K) must include detailed information regarding the issuing country fiscal position, a\ndescription of all categories of bonds outstanding, and relevant economic policy and legal updates. Foreign\nissuers can nonetheless circumvent the SEC registration process by adhering to Regulation S, as long as\ntheir securities are offered and sold outside of the United States. A second reason to examine the effect of\nSEC registration is its close correlation with the choice of jurisdiction. Most bonds under U.K. law are sold\n\n\n10\n\nMention: \"Dealogic data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Authors use Dealogic data in calculations of sovereign bond issuances and related issuance characteristics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000330:17:0", "occurrence_id": "c3c46f47ca641f67edb38871", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Figure 10: Employment by sector in Roraima.\n\n\n\n\n\n\n|Agriculture<br>25<br>20<br>15<br>10<br>−20 −10 0 10|Industry<br>16<br>14<br>12<br>10<br>8<br>6<br>−20 −10 0 10|\n|---|---|\n|14 16 18 20 22 24<br>−20<br>−10<br>0<br>10<br>Construction|25 30 35 40 45 50<br>−20<br>−10<br>0<br>10<br>Trade|\n|4<br>5<br>6<br>7<br>8<br>−20<br>−10<br>0<br>10<br>Transport|8 10 12 14 16<br>−20<br>−10<br>0<br>10<br>Hospitality|\n\n\n\nNote: The y-axis is in thousand and the x-axis the distance in quarters from the first quarter of 2018. The data comes from PNADC and solid\nline shows the local linear fit while the dashed lines show the 95% confidence interval.\n\n\nOverall, it seems that the labor market in Roraima, 27% of whose total employed is employed\nin the public sector, found it difficult to adjust to the population shock caused by the influx of\ndisplaced Venezuelans in the short-run and consequently unemployment rose along with a fall in\nemployment.\n\n\nTable A1 documents all the variables used in this study, their sources and their frequencies, while\nTable A2 shows the summary statistics of the different variables by pre-2018 and 2018 and after\ngroups. In the labor market, all variables except formal employment and employment in agriculture\nand industry, are higher in 2018 and after than\n\nMention: \"PNADC\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"PNADC data generate sector-employment plots and estimates used to analyze labor-market adjustment after Venezuelan displacement.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000339:8:0", "occurrence_id": "afb3622cc2553663c2b68303", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **_6_**\n\n\nSecond, the years need to be redefined in order to be able to carry out the stock-flow\n\n\nmodel of educational attainment. ILO data are estimated and projected for every five years\n\n\nuntil **2025.** Data for intervening years are imputed **by** applying the average annual growth\n\n\nrate for each age cohort over the five years to the stock in the base year.\n\n\n**3.** Enrollment rates. repetition rates. and drop out rates\n\nThe gender specific gross enrollment ratios for years before **1990** are obtained from\n\nthe Economic and Social Database of the World Bank **(BESD).** The projections of\n\nenrollments are from **UNESCO** **(1993).** This publication presents decennial projections of\n\ngross enrollment ratios at Ist, 2nd, and 3rd level of education for **107** developing countries.\n\nThe projections for the intervening years are derived **by** log-linear interpolations. Finally,\n\nafter combining this data with BL dataset, and retaining only those countries for which data\n\nis available in both data sets, we are left with **71** countries <sup>34</sup> . Appendix 1 lists the countries\n\nincluded in the analysis.\n\n\nThe repeat rates for primary and secondary school are derived from **UNESCO** data\n\n\non the number of students enrolled at each level and among those, the number who have\n\n\nrepeated a grade. Using the available data, a simple imputation and projection model is used\n\n\nto fill in data for between **1960** and 20201. **If** there is no data for a country, no adjustment is\n\n\nmade. **If** there is only one observation, this is assumed to be the repeater rate. **If** there is\n\n\nmore than one observation for a country, the annual average growth rate\n\nMention: \"ILO data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ILO education estimates and projections feed a stock-flow attainment model, with intervening years imputed from cohort growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000339:8:0", "occurrence_id": "f4b07cccb22a0b72740880e1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **_6_**\n\n\nSecond, the years need to be redefined in order to be able to carry out the stock-flow\n\n\nmodel of educational attainment. ILO data are estimated and projected for every five years\n\n\nuntil **2025.** Data for intervening years are imputed **by** applying the average annual growth\n\n\nrate for each age cohort over the five years to the stock in the base year.\n\n\n**3.** Enrollment rates. repetition rates. and drop out rates\n\nThe gender specific gross enrollment ratios for years before **1990** are obtained from\n\nthe Economic and Social Database of the World Bank **(BESD).** The projections of\n\nenrollments are from **UNESCO** **(1993).** This publication presents decennial projections of\n\ngross enrollment ratios at Ist, 2nd, and 3rd level of education for **107** developing countries.\n\nThe projections for the intervening years are derived **by** log-linear interpolations. Finally,\n\nafter combining this data with BL dataset, and retaining only those countries for which data\n\nis available in both data sets, we are left with **71** countries <sup>34</sup> . Appendix 1 lists the countries\n\nincluded in the analysis.\n\n\nThe repeat rates for primary and secondary school are derived from **UNESCO** data\n\n\non the number of students enrolled at each level and among those, the number who have\n\n\nrepeated a grade. Using the available data, a simple imputation and projection model is used\n\n\nto fill in data for between **1960** and 20201. **If** there is no data for a country, no adjustment is\n\n\nmade. **If** there is only one observation, this is assumed to be the repeater rate. **If** there is\n\n\nmore than one observation for a country, the annual average growth rate\n\nMention: \"BL dataset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"BL dataset is combined with the enrollment data, retaining countries with observations in both datasets.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000341:12:0", "occurrence_id": "a05343747b46584ac7d99d17", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: responding to frustrations and challenges. However, the war also resulted in women becoming\neconomically active, which in this case decreased IPV, as the pressure on men to provide for their\nfamilies reduced. Also, economic independence and interventions provided women with the option\nof leaving a violent relationship. Thus, IPV risk is linked to both formal and informal social\nstructures that create gender inequality, including financial dependence on men, traditional gender\nnorms surrounding masculinity as well as the broader changes in social norms and behaviors\nrelated to interpersonal violence that occur during conflict.\n\n4. Data and model specification\n\n4.1 Data and sample construction\nData are drawn from the 2008 and 2013 Nigerian Demographic and Health Survey (NDHS), which\ninclude Domestic Violence (DV) modules that sample 23,752 and 27,634 women respectively. <sup>16</sup> [^16: The NDHS is a nationally representative cross-sectional household survey that provides data on population, health,\nand nutrition for women <mark>aged 15-49.</mark>\n17Because the ACLED often reviews specific periods of conflict to ensure accuracy, there may be changes to the data\nin selected countries or targeted conflicts throughout the year. The ACLED data used for the analysis in this study\n[were downloaded from www.acleddata.com](http://www.acleddata.com/) on August 30, 2018.]\nThe NDHS includes information on the location of the interview and its GPS coordinates.\nObservations from the 2008 NDHS provide data for the period before the BH insurgency while\nobservations from the 2013 NDHS provide data for the period during the BH insurgency. Exposure\nto BH conflict is measured using the Armed Conflict Location and Event Database (ACLED),\nwhich records events whether they generate fatalities or not. The data on events are reported by\ndate, location, agent and type.\n\nOur sample is made up of data drawn from 664 Local Government Areas (LGAs) across all 36\nstates, including the Federal Capital Territory (FCT). Observations\n\nMention: \"Nigerian Demographic and Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"NDHS survey editions provide women's demographic and domestic-violence data for analysis of IPV before and during conflict.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000341:12:0", "occurrence_id": "34c0aa301a4afe723ad79d0a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: responding to frustrations and challenges. However, the war also resulted in women becoming\neconomically active, which in this case decreased IPV, as the pressure on men to provide for their\nfamilies reduced. Also, economic independence and interventions provided women with the option\nof leaving a violent relationship. Thus, IPV risk is linked to both formal and informal social\nstructures that create gender inequality, including financial dependence on men, traditional gender\nnorms surrounding masculinity as well as the broader changes in social norms and behaviors\nrelated to interpersonal violence that occur during conflict.\n\n4. Data and model specification\n\n4.1 Data and sample construction\nData are drawn from the 2008 and 2013 Nigerian Demographic and Health Survey (NDHS), which\ninclude Domestic Violence (DV) modules that sample 23,752 and 27,634 women respectively. <sup>16</sup> [^16: The NDHS is a nationally representative cross-sectional household survey that provides data on population, health,\nand nutrition for women <mark>aged 15-49.</mark>\n17Because the ACLED often reviews specific periods of conflict to ensure accuracy, there may be changes to the data\nin selected countries or targeted conflicts throughout the year. The ACLED data used for the analysis in this study\n[were downloaded from www.acleddata.com](http://www.acleddata.com/) on August 30, 2018.]\nThe NDHS includes information on the location of the interview and its GPS coordinates.\nObservations from the 2008 NDHS provide data for the period before the BH insurgency while\nobservations from the 2013 NDHS provide data for the period during the BH insurgency. Exposure\nto BH conflict is measured using the Armed Conflict Location and Event Database (ACLED),\nwhich records events whether they generate fatalities or not. The data on events are reported by\ndate, location, agent and type.\n\nOur sample is made up of data drawn from 664 Local Government Areas (LGAs) across all 36\nstates, including the Federal Capital Territory (FCT). Observations\n\nMention: \"NDHS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Interview locations and GPS coordinates in the NDHS support spatial assignment of survey observations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000341:12:0", "occurrence_id": "66797eafc000adbee72717cd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: responding to frustrations and challenges. However, the war also resulted in women becoming\neconomically active, which in this case decreased IPV, as the pressure on men to provide for their\nfamilies reduced. Also, economic independence and interventions provided women with the option\nof leaving a violent relationship. Thus, IPV risk is linked to both formal and informal social\nstructures that create gender inequality, including financial dependence on men, traditional gender\nnorms surrounding masculinity as well as the broader changes in social norms and behaviors\nrelated to interpersonal violence that occur during conflict.\n\n4. Data and model specification\n\n4.1 Data and sample construction\nData are drawn from the 2008 and 2013 Nigerian Demographic and Health Survey (NDHS), which\ninclude Domestic Violence (DV) modules that sample 23,752 and 27,634 women respectively. <sup>16</sup> [^16: The NDHS is a nationally representative cross-sectional household survey that provides data on population, health,\nand nutrition for women <mark>aged 15-49.</mark>\n17Because the ACLED often reviews specific periods of conflict to ensure accuracy, there may be changes to the data\nin selected countries or targeted conflicts throughout the year. The ACLED data used for the analysis in this study\n[were downloaded from www.acleddata.com](http://www.acleddata.com/) on August 30, 2018.]\nThe NDHS includes information on the location of the interview and its GPS coordinates.\nObservations from the 2008 NDHS provide data for the period before the BH insurgency while\nobservations from the 2013 NDHS provide data for the period during the BH insurgency. Exposure\nto BH conflict is measured using the Armed Conflict Location and Event Database (ACLED),\nwhich records events whether they generate fatalities or not. The data on events are reported by\ndate, location, agent and type.\n\nOur sample is made up of data drawn from 664 Local Government Areas (LGAs) across all 36\nstates, including the Federal Capital Territory (FCT). Observations\n\nMention: \"2008 NDHS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"2008 NDHS observations represent the pre-insurgency period in the study's comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000341:12:0", "occurrence_id": "0013cc51632440f0f3db10ad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: responding to frustrations and challenges. However, the war also resulted in women becoming\neconomically active, which in this case decreased IPV, as the pressure on men to provide for their\nfamilies reduced. Also, economic independence and interventions provided women with the option\nof leaving a violent relationship. Thus, IPV risk is linked to both formal and informal social\nstructures that create gender inequality, including financial dependence on men, traditional gender\nnorms surrounding masculinity as well as the broader changes in social norms and behaviors\nrelated to interpersonal violence that occur during conflict.\n\n4. Data and model specification\n\n4.1 Data and sample construction\nData are drawn from the 2008 and 2013 Nigerian Demographic and Health Survey (NDHS), which\ninclude Domestic Violence (DV) modules that sample 23,752 and 27,634 women respectively. <sup>16</sup> [^16: The NDHS is a nationally representative cross-sectional household survey that provides data on population, health,\nand nutrition for women <mark>aged 15-49.</mark>\n17Because the ACLED often reviews specific periods of conflict to ensure accuracy, there may be changes to the data\nin selected countries or targeted conflicts throughout the year. The ACLED data used for the analysis in this study\n[were downloaded from www.acleddata.com](http://www.acleddata.com/) on August 30, 2018.]\nThe NDHS includes information on the location of the interview and its GPS coordinates.\nObservations from the 2008 NDHS provide data for the period before the BH insurgency while\nobservations from the 2013 NDHS provide data for the period during the BH insurgency. Exposure\nto BH conflict is measured using the Armed Conflict Location and Event Database (ACLED),\nwhich records events whether they generate fatalities or not. The data on events are reported by\ndate, location, agent and type.\n\nOur sample is made up of data drawn from 664 Local Government Areas (LGAs) across all 36\nstates, including the Federal Capital Territory (FCT). Observations\n\nMention: \"2013 NDHS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"2013 NDHS observations represent the during-insurgency period in the study's comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000341:12:0", "occurrence_id": "1818fa55f930db536a897762", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: responding to frustrations and challenges. However, the war also resulted in women becoming\neconomically active, which in this case decreased IPV, as the pressure on men to provide for their\nfamilies reduced. Also, economic independence and interventions provided women with the option\nof leaving a violent relationship. Thus, IPV risk is linked to both formal and informal social\nstructures that create gender inequality, including financial dependence on men, traditional gender\nnorms surrounding masculinity as well as the broader changes in social norms and behaviors\nrelated to interpersonal violence that occur during conflict.\n\n4. Data and model specification\n\n4.1 Data and sample construction\nData are drawn from the 2008 and 2013 Nigerian Demographic and Health Survey (NDHS), which\ninclude Domestic Violence (DV) modules that sample 23,752 and 27,634 women respectively. <sup>16</sup> [^16: The NDHS is a nationally representative cross-sectional household survey that provides data on population, health,\nand nutrition for women <mark>aged 15-49.</mark>\n17Because the ACLED often reviews specific periods of conflict to ensure accuracy, there may be changes to the data\nin selected countries or targeted conflicts throughout the year. The ACLED data used for the analysis in this study\n[were downloaded from www.acleddata.com](http://www.acleddata.com/) on August 30, 2018.]\nThe NDHS includes information on the location of the interview and its GPS coordinates.\nObservations from the 2008 NDHS provide data for the period before the BH insurgency while\nobservations from the 2013 NDHS provide data for the period during the BH insurgency. Exposure\nto BH conflict is measured using the Armed Conflict Location and Event Database (ACLED),\nwhich records events whether they generate fatalities or not. The data on events are reported by\ndate, location, agent and type.\n\nOur sample is made up of data drawn from 664 Local Government Areas (LGAs) across all 36\nstates, including the Federal Capital Territory (FCT). Observations\n\nMention: \"Armed Conflict Location and Event Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ACLED event records by date, location, agent, and type are used to measure Boko Haram conflict exposure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000354:5:0", "occurrence_id": "163f05650c3532cc4b12126b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: empowerment. Third, electrification enables greater exposure to electronic media, such as\n\n\ntelevision and radio. Improved access to information may broaden horizons about\n\n\nopportunities for women’s economic empowerment, and social and political participation.\n\n\nFourth, electrification can lead to better education outcomes for girls (Khandker, Barnes and\n\n\nSamad 2012; Khandker et al. 2014; Samad and Zhang 2016 2017). Better education outcomes\n\n\nfor girls could have a catalytic effect on almost all dimensions of development, including\n\n\nwomen’s empowerment over the long term (Duflo 2012).\n\n\nUsing data from the IHDS and a propensity score-weighted method, we find that gaining access\n\n\nto electricity has a positive impact on all four potential enabling factors of empowerment.\n\n\nMoreover, we find that among the four factors, women’s employment and education\n\n\nsignificantly improve almost all measures of women’s empowerment, while more exposure to\n\n\nelectronic media (such as radio and television) is associated with greater financial and\n\n\nreproductive freedom.\n\n\nThe rest of the paper is organized as follows. Section II briefly describes an intra-household\n\n\nbargaining model to explain the causal link between electrification and women’s\n\n\nempowerment. Section III presents the data and descriptive analysis of the observed indicators\n\n\nof women’s empowerment. Section IV constructs latent indexes for women’s empowerment\n\n\nand provides descriptive analysis of the indexes. This section also analyzes the effects of\n\n\nelectrification on the empowerment indexes. Section V provides evidence on the causal\n\n\nchannels through which electrification enhances empowerment. Section VI concludes.\n\n\n**II. Gender, bargaining power and intra-household resource allocation**\n\n\nHow does the adoption of electricity lead to greater women’s empowerment? In this section\n\n\nwe first briefly review literature on the bargaining model, which is used to explain intra\n\nhousehold resource allocation and bargaining power; and then discuss how electrification\n\n\ncontributes to women’s empowerment.\n\n\nThere are two broad types of models for intra-household resource allocation. The first one—\n\n\nthe unitary model—\n\nMention: \"IHDS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IHDS survey data are analyzed with propensity-score weighting to estimate electricity's effects on women's empowerment outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000390:20:1", "occurrence_id": "be4b08bac92077af91b891b5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , and inhibit imports of adequate raw materials.\nThe shortage of foreign exchange tends also to fuel the contraband trade through Somaliland because the\nbirr is an unofficial currency there and can more easily be used to purchase products from around the\nworld.\n\n##### 3.5. Underdeveloped and fragile financial system\n\nEthiopia has one of the least developed financial systems in the world. In the 2018 Global Competitiveness\nReport, Ethiopia ranked 126 of 140 countries in terms of financial system development. <sup>76</sup> With total assets\nof 46 percent of GDP, Ethiopia’s financial system is shallow and does not serve well the needs of a\ntransforming economy. Access to finance is identified as the main obstacle to business by 40 percent of\nfirms. <sup>77</sup> While the share of adults having a bank account has increased significantly in recent years, it\nremains at a low 35 percent in 2017 (as compared to 43 percent on average in Sub‐Saharan Africa). The\nnumber of bank branches per capita is low and branches are concentrated in major towns and cities. <sup>78</sup>\nNearly one‐third of branches are located in Addis Ababa. The rural poor have little access to formal\nbanking instruments and rely on microfinance institutions (MFIs), informal financing like saving and credit\nassociations, moneylenders and friends. In the absence of formal banking, MFIs have developed and\noperate a network of around 1,900 branches in September 2018. Some of the biggest MFIs outperform\nmost of the banks in the country in terms of branch network and capital. <sup>79</sup>\n\n\n75 U.S. Department of State, Bureau of Economic and Business Affairs, Investment Climate Statements for 2018.\n76 World Economic Forum (2018). Global Competitiveness Report 2018.\n77 World Bank Enterprise Survey (2015).\n78 Gashayie, A. and M\n\nMention: \"World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Enterprise Survey data support the reported finding that access to finance is a major obstacle for Ethiopian firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000394:14:0", "occurrence_id": "a42429934c7cfd8af283e101", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **4.** **Methodology**\n\n**4.1. Data Sources**\n\n_Micro Data_\n\nThe main database for our analysis is the second Employment and Innovation Dynamics\nNational Survey (ENDEI 2). The use of this data set is completely novel. Access was granted\nto us by the National Directorate of Scientific Information (Dirección Nacional de Información\nCientífica, DNIC) and the Under-secretariat of Studies and Prospective (Subsecretaría de\nEstudios y Prospectiva), specifically for the needs of this project. <sup>14</sup> This survey covers the\n2014–16 period and was carried out jointly by the Labor and Employment Secretariat\n(Secretaría de Trabajo y Empleo) and the Science, Technology and Productive Innovation\nSecretariat <sup>15</sup> (Secretaría de Ciencia, Tecnología e Innovación Productiva). The sample was\ndrawn to be representative of manufacturing firms with at least 10 employees, in terms of size\n(small, medium, and large firms), region (five geographical areas), and sector (mostly at the 2digit ISIC level). <sup>16</sup> The sample includes 3,945 firms. For some exercises, we used the previous\nENDEI (hereafter ENDEI 1), comprising 3,691 firms, which covers the period 2010–12 and\nwhich is representative at the size and sectoral level. We could not use panel data because both\nwaves were not matched at the firm level. <sup>17</sup>\n\nThe ENDEI has two structured questionnaires, one self-administered and one that requires a\nface-to-face interview. The former contains questions that require inputs from different areas\nof the firm: income; expenses (such as wages and salaries, intermediate consumption, and\ninvestment in fixed assets); <\n\nMention: \"Employment and Innovation Dynamics\nNational Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The survey is the study's main firm-level database, covering manufacturing-firm employment and innovation characteristics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000394:14:0", "occurrence_id": "22ecf675d553222469cb51a4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **4.** **Methodology**\n\n**4.1. Data Sources**\n\n_Micro Data_\n\nThe main database for our analysis is the second Employment and Innovation Dynamics\nNational Survey (ENDEI 2). The use of this data set is completely novel. Access was granted\nto us by the National Directorate of Scientific Information (Dirección Nacional de Información\nCientífica, DNIC) and the Under-secretariat of Studies and Prospective (Subsecretaría de\nEstudios y Prospectiva), specifically for the needs of this project. <sup>14</sup> This survey covers the\n2014–16 period and was carried out jointly by the Labor and Employment Secretariat\n(Secretaría de Trabajo y Empleo) and the Science, Technology and Productive Innovation\nSecretariat <sup>15</sup> (Secretaría de Ciencia, Tecnología e Innovación Productiva). The sample was\ndrawn to be representative of manufacturing firms with at least 10 employees, in terms of size\n(small, medium, and large firms), region (five geographical areas), and sector (mostly at the 2digit ISIC level). <sup>16</sup> The sample includes 3,945 firms. For some exercises, we used the previous\nENDEI (hereafter ENDEI 1), comprising 3,691 firms, which covers the period 2010–12 and\nwhich is representative at the size and sectoral level. We could not use panel data because both\nwaves were not matched at the firm level. <sup>17</sup>\n\nThe ENDEI has two structured questionnaires, one self-administered and one that requires a\nface-to-face interview. The former contains questions that require inputs from different areas\nof the firm: income; expenses (such as wages and salaries, intermediate consumption, and\ninvestment in fixed assets); <\n\nMention: \"ENDEI 2\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ENDEI 2 provides the study's primary firm-level data for analysis of employment and innovation dynamics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000394:14:0", "occurrence_id": "e02aaa80d34aa0f36f0bf475", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **4.** **Methodology**\n\n**4.1. Data Sources**\n\n_Micro Data_\n\nThe main database for our analysis is the second Employment and Innovation Dynamics\nNational Survey (ENDEI 2). The use of this data set is completely novel. Access was granted\nto us by the National Directorate of Scientific Information (Dirección Nacional de Información\nCientífica, DNIC) and the Under-secretariat of Studies and Prospective (Subsecretaría de\nEstudios y Prospectiva), specifically for the needs of this project. <sup>14</sup> This survey covers the\n2014–16 period and was carried out jointly by the Labor and Employment Secretariat\n(Secretaría de Trabajo y Empleo) and the Science, Technology and Productive Innovation\nSecretariat <sup>15</sup> (Secretaría de Ciencia, Tecnología e Innovación Productiva). The sample was\ndrawn to be representative of manufacturing firms with at least 10 employees, in terms of size\n(small, medium, and large firms), region (five geographical areas), and sector (mostly at the 2digit ISIC level). <sup>16</sup> The sample includes 3,945 firms. For some exercises, we used the previous\nENDEI (hereafter ENDEI 1), comprising 3,691 firms, which covers the period 2010–12 and\nwhich is representative at the size and sectoral level. We could not use panel data because both\nwaves were not matched at the firm level. <sup>17</sup>\n\nThe ENDEI has two structured questionnaires, one self-administered and one that requires a\nface-to-face interview. The former contains questions that require inputs from different areas\nof the firm: income; expenses (such as wages and salaries, intermediate consumption, and\ninvestment in fixed assets); <\n\nMention: \"ENDEI 1\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"The prior ENDEI wave supplies firm observations for selected analyses; the waves are not matched for panel analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000414:11:0", "occurrence_id": "3390aafd2f3005f9c59d953b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: approximation in most cases, <sup>17</sup> [^17: Authors observed that this data seems often informed by public announcement of investments. Realized\ninvestments often differ quite considerably in scope. This was confirmed in discussions with World Bank colleagues\nworking with this data.] and the author’s view is that a value indicator would introduce\nsignificant additional noise. For the same reason, introducing a measure relative to GDP or population\nsize would introduce the same source of distortion. An alternative could be a count variable of the\nnumber of FDI projects, but it would heavily bias the measure against small countries. The constructed\nbinary variable is our dependent variable in the empirical analysis.\n\nII. <u>Trade data</u>\n\n\nWe use the BACI data set prepared by CEPII to construct a measure of the revealed comparative\nadvantage at the disaggregated 4-digit sector level. <sup>18</sup> [^18: <u>[http://www.cepii.fr/CEPII/en/bdd_modele/presentation.asp?id=37](http://www.cepii.fr/CEPII/en/bdd_modele/presentation.asp?id=37)</u>] The BACI data set provides disaggregated data on\nbilateral trade flows for more than 5,000 products and 200 countries. The BACI database is built from\ndata directly reported by each country to the United Nations’ COMTRADE database, where additional\nprocedures are applied by CEPII to reconcile the declarations of the exporter and the importer and\nprovide more accurate measurement of trade flows relative to COMTRADE. The data set is available at\nannual frequency. The 4-digit level of disaggregation was chosen because it offers a good compromise\nbetween data set size and use of results for the construction of the benchmarking values. <sup>19</sup> [^19: The empirical investigation could be conducted at a more disaggregated level, e.g. HS-6 digit.]\n\n\nWe use trade data to\n\nMention: \"BACI data set\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"BACI bilateral trade data are analyzed to construct revealed comparative-advantage measures at the four-digit sector level.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000414:11:0", "occurrence_id": "ec083900c073fa371d6b8041", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: approximation in most cases, <sup>17</sup> [^17: Authors observed that this data seems often informed by public announcement of investments. Realized\ninvestments often differ quite considerably in scope. This was confirmed in discussions with World Bank colleagues\nworking with this data.] and the author’s view is that a value indicator would introduce\nsignificant additional noise. For the same reason, introducing a measure relative to GDP or population\nsize would introduce the same source of distortion. An alternative could be a count variable of the\nnumber of FDI projects, but it would heavily bias the measure against small countries. The constructed\nbinary variable is our dependent variable in the empirical analysis.\n\nII. <u>Trade data</u>\n\n\nWe use the BACI data set prepared by CEPII to construct a measure of the revealed comparative\nadvantage at the disaggregated 4-digit sector level. <sup>18</sup> [^18: <u>[http://www.cepii.fr/CEPII/en/bdd_modele/presentation.asp?id=37](http://www.cepii.fr/CEPII/en/bdd_modele/presentation.asp?id=37)</u>] The BACI data set provides disaggregated data on\nbilateral trade flows for more than 5,000 products and 200 countries. The BACI database is built from\ndata directly reported by each country to the United Nations’ COMTRADE database, where additional\nprocedures are applied by CEPII to reconcile the declarations of the exporter and the importer and\nprovide more accurate measurement of trade flows relative to COMTRADE. The data set is available at\nannual frequency. The 4-digit level of disaggregation was chosen because it offers a good compromise\nbetween data set size and use of results for the construction of the benchmarking values. <sup>19</sup> [^19: The empirical investigation could be conducted at a more disaggregated level, e.g. HS-6 digit.]\n\n\nWe use trade data to\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"CEPII prepares BACI by reconciling country-reported trade declarations to improve trade-flow measurement.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000414:11:0", "occurrence_id": "619d86736e6770a9020e665f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: approximation in most cases, <sup>17</sup> [^17: Authors observed that this data seems often informed by public announcement of investments. Realized\ninvestments often differ quite considerably in scope. This was confirmed in discussions with World Bank colleagues\nworking with this data.] and the author’s view is that a value indicator would introduce\nsignificant additional noise. For the same reason, introducing a measure relative to GDP or population\nsize would introduce the same source of distortion. An alternative could be a count variable of the\nnumber of FDI projects, but it would heavily bias the measure against small countries. The constructed\nbinary variable is our dependent variable in the empirical analysis.\n\nII. <u>Trade data</u>\n\n\nWe use the BACI data set prepared by CEPII to construct a measure of the revealed comparative\nadvantage at the disaggregated 4-digit sector level. <sup>18</sup> [^18: <u>[http://www.cepii.fr/CEPII/en/bdd_modele/presentation.asp?id=37](http://www.cepii.fr/CEPII/en/bdd_modele/presentation.asp?id=37)</u>] The BACI data set provides disaggregated data on\nbilateral trade flows for more than 5,000 products and 200 countries. The BACI database is built from\ndata directly reported by each country to the United Nations’ COMTRADE database, where additional\nprocedures are applied by CEPII to reconcile the declarations of the exporter and the importer and\nprovide more accurate measurement of trade flows relative to COMTRADE. The data set is available at\nannual frequency. The 4-digit level of disaggregation was chosen because it offers a good compromise\nbetween data set size and use of results for the construction of the benchmarking values. <sup>19</sup> [^19: The empirical investigation could be conducted at a more disaggregated level, e.g. HS-6 digit.]\n\n\nWe use trade data to\n\nMention: \"COMTRADE database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Country-reported trade declarations in COMTRADE underlie BACI, which CEPII reconciles for analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000427:7:1", "occurrence_id": "3aed7e9579934dffd1241e28", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the greatest mitigation effort should\nbe borne by the largest carbon emitters, which are mostly high and middle-income countries that have\n\nalready issued green bonds. <sup>10</sup> And public debt levels are presently a smaller concern in that income\ngroup (Blanchard 2019), suggesting that for countries with sufficient fiscal space, green bonds might\nhelp improve the climate policy mix.\n\nThe relation of green bonds to debt levels also depends on their cost relative to traditional bonds. A\ncritique has been that green bonds may be more expensive than conventional bonds and thus raise debt.\nBut this finding may be driven by sample selection bias. To evaluate climate financing strategies, it is\nimportant to control for the types of investment projects and investor characteristics when comparing\nyields of green and vanilla bonds. The relevant point of comparison for a country which is considering\nthe use of green bonds for financing climate projects is the yield of vanilla bonds that are used in financing\nthese same climate projects, and not the yield of conventional bonds averaged across the broader market.\nWith these controls, green bonds are paying lower yields (Flammer 2018; Baker at al. 2018; Karpf and\nMandel, 2018, Partridge and Medda, 2018). So, given that a country is seeking to finance investments\nin its climate transition, green bonds appear cheaper than vanilla bonds. There is also evidence that the\nact of certifying a green bond through a third party reduces its yield (Bachelet et al. 2019) and that\n\n\ninvested in adaptation projects. The authors also analyze the Bloomberg Green Bonds Database and find that only 2% of the\ncertified issuers (from 2010 to 2018) declared that the volume leveraged should be used only for adaptation projects. The\nexpected use of proceeds of each certified green bond is published by a third-party report at the time of issuance.\n10Among the largest emitters, the Russian Federation was the last country to enter the green bond market in January 2019.\n\n\n6\n\nMention: \"Bloomberg Green Bonds Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Database analysis identifies certified green-bond issuers' reported use of proceeds for climate adaptation projects.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000473:52:3", "occurrence_id": "7a7d7dd9902083ae6a5a0161", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 15 56.24 97.31 65.44 73.74 46.53 92.17 0.64\nUruguay 84.21 58.55 97.58 86.56 80.22 49.61 94.42 0.85\nUSA 80.95 64.33 91.84 79.07 74.79 51.79 86.92 0.75\n\nSource: Authors’ elaboration based on World Development Indicators (2017).\n\n\n51\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Authors derive the country-level table values from 2017 World Development Indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000539:15:1", "occurrence_id": "74e537dfbbcca0a0bd76d9b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  yam and water yam, local\nrice, and large onions. <sup>20</sup> Median price values between the market price survey and the CPI database\nare overall similar with smoked fish and water as exceptions.\n\n\n\n19 Prices of about 307 items are regularly collected using the 2018 Classification of Individual Consumption\nAccording to Purpose (COICOP).\n20 For each item, observations are treated as outliers and removed if their log prices are above or below 2.5\nstandard deviations.\n\n\n\n14\n\nMention: \"CPI database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"CPI price values are compared with market-price-survey medians to assess agreement across sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000540:1:0", "occurrence_id": "b6bfc35e5d122b1bbd3e989f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Policy Research Working Paper 9311\n\n### **Abstract**\n\nThis study uses a contingent valuation approach to value the\n\nwillingness-to-pay (WTP) for improved service experienced\nby households in Nepal following the end of the country’s\nload-shedding crisis of 2008-2016. Using a detailed survey\nof grid-connected Nepali households, the authors calculate\nthe WTP per outage-day avoided and the residential value\nof lost (VoLL) and analyze their key drivers. Households\n\n\n\nare willing to pay, on average, 123.32 NR ($1.11) per\nmonth, or 65 percent of the actual average monthly bill\nfor improved quality of power supply. The preferred estimates of the VoLL are in the range of 5 to 15 NR/kWh\n(¢4.7–¢14/kWh). These estimates are below the marginal\n\ncost of avoided load shedding, and virtually the same as\nvaluations at the beginning of the load-shedding crisis.\n\n\n\nThis paper is a product of the Development Research Group, Development Economics. It is part of a larger effort by the\nWorld Bank to provide open access to its research and make a contribution to development policy discussions around the\n\nworld. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The authors may\nbe contacted at jsteinbuks@worldbank.org.\n\n\n_The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development_\n_issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the_\n_names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those_\n_of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and_\n\nMention: \"detailed survey\nof grid-connected Nepali households\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household survey responses support willingness-to-pay and value-of-lost-load estimates after Nepal's load-shedding crisis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000560:8:0", "occurrence_id": "2ba53c41cd305341a0ef9950", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sistencies in the measurement of light intensity between the DMSP and VIIRS satellites, the\n\n\ncombination of nightlights data from these satellites is a challenge hence limiting the applica\n\ntion of nightlights data over the long time horizon. To address this issue, Li et al. (2020) have\n\n\nderived consistent and integrated nightlights data from the two satellites by harmonizing the\n\n\ninter-calibrated nightlights data from the DMSP and a simulated DMSP-like nightlights data\n\nfrom the VIIRS satellite. <sup>12</sup> Using this data, I compute yearly average nightlights intensity for\n\n\neach subnational administrative district boundary as a proxy for the level of economic activity\n\n\nin each administrative boundary per year. I then compute the annual growth in nightlight in\n\ntensity as the log-differences in the annual average nightlight intensity for each district. In the\n\n\nonline Appendix, I conduct several robustness checks to ascertain the robustness of the base\n\nline results using the harmonized data. First, Figure A1 in the online Appendix clearly shows\n\n\na very high correlation between the harmonized and non-harmonized nightlights data for the\n\n\nperiod 1999-2013. Also, relying exclusively on DMSP nightlights data between 1998 and 2013, I\n\n\nshow in Table A4 that the baseline results hold even if we restrict the data to the pre-VIIRS data.\n\n\n**2.3** **Complementary data**\n\n\nI complement the analysis with data on indicators such as natural resource endowments from\n\nthe IMF, quality of governance from the Polity IV database, <sup>13</sup> distance to the coast, <sup>14</sup> and average\n\n\nannual temperature and total precipitation obtained from the ERA5 Global Reanalysis Database\n\nby the Copernicus Climate Change Service. <sup>15</sup> Data on fixed line telephone penetration and\n\n\naccess to electricity are obtained from the World Bank’\n\nMention: \"DMSP nightlights data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DMSP nightlights support district-level economic-activity measures and robustness checks against harmonized series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000560:8:0", "occurrence_id": "197c91a28bd9a915ded32afb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sistencies in the measurement of light intensity between the DMSP and VIIRS satellites, the\n\n\ncombination of nightlights data from these satellites is a challenge hence limiting the applica\n\ntion of nightlights data over the long time horizon. To address this issue, Li et al. (2020) have\n\n\nderived consistent and integrated nightlights data from the two satellites by harmonizing the\n\n\ninter-calibrated nightlights data from the DMSP and a simulated DMSP-like nightlights data\n\nfrom the VIIRS satellite. <sup>12</sup> Using this data, I compute yearly average nightlights intensity for\n\n\neach subnational administrative district boundary as a proxy for the level of economic activity\n\n\nin each administrative boundary per year. I then compute the annual growth in nightlight in\n\ntensity as the log-differences in the annual average nightlight intensity for each district. In the\n\n\nonline Appendix, I conduct several robustness checks to ascertain the robustness of the base\n\nline results using the harmonized data. First, Figure A1 in the online Appendix clearly shows\n\n\na very high correlation between the harmonized and non-harmonized nightlights data for the\n\n\nperiod 1999-2013. Also, relying exclusively on DMSP nightlights data between 1998 and 2013, I\n\n\nshow in Table A4 that the baseline results hold even if we restrict the data to the pre-VIIRS data.\n\n\n**2.3** **Complementary data**\n\n\nI complement the analysis with data on indicators such as natural resource endowments from\n\nthe IMF, quality of governance from the Polity IV database, <sup>13</sup> distance to the coast, <sup>14</sup> and average\n\n\nannual temperature and total precipitation obtained from the ERA5 Global Reanalysis Database\n\nby the Copernicus Climate Change Service. <sup>15</sup> Data on fixed line telephone penetration and\n\n\naccess to electricity are obtained from the World Bank’\n\nMention: \"Polity IV database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Polity IV governance-quality data are included as a complementary indicator in the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000560:8:0", "occurrence_id": "5a59ce3bcfd085f915baf1ef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sistencies in the measurement of light intensity between the DMSP and VIIRS satellites, the\n\n\ncombination of nightlights data from these satellites is a challenge hence limiting the applica\n\ntion of nightlights data over the long time horizon. To address this issue, Li et al. (2020) have\n\n\nderived consistent and integrated nightlights data from the two satellites by harmonizing the\n\n\ninter-calibrated nightlights data from the DMSP and a simulated DMSP-like nightlights data\n\nfrom the VIIRS satellite. <sup>12</sup> Using this data, I compute yearly average nightlights intensity for\n\n\neach subnational administrative district boundary as a proxy for the level of economic activity\n\n\nin each administrative boundary per year. I then compute the annual growth in nightlight in\n\ntensity as the log-differences in the annual average nightlight intensity for each district. In the\n\n\nonline Appendix, I conduct several robustness checks to ascertain the robustness of the base\n\nline results using the harmonized data. First, Figure A1 in the online Appendix clearly shows\n\n\na very high correlation between the harmonized and non-harmonized nightlights data for the\n\n\nperiod 1999-2013. Also, relying exclusively on DMSP nightlights data between 1998 and 2013, I\n\n\nshow in Table A4 that the baseline results hold even if we restrict the data to the pre-VIIRS data.\n\n\n**2.3** **Complementary data**\n\n\nI complement the analysis with data on indicators such as natural resource endowments from\n\nthe IMF, quality of governance from the Polity IV database, <sup>13</sup> distance to the coast, <sup>14</sup> and average\n\n\nannual temperature and total precipitation obtained from the ERA5 Global Reanalysis Database\n\nby the Copernicus Climate Change Service. <sup>15</sup> Data on fixed line telephone penetration and\n\n\naccess to electricity are obtained from the World Bank’\n\nMention: \"ERA5 Global Reanalysis Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"ERA5 supplies annual temperature and precipitation measures used as complementary analysis variables.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000575:22:3", "occurrence_id": "1d986ce4b2b3a8375551c265", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  paper. Their estimates provide the geographic potential for hydroelectric\n\n\nenergy production. We assume that locations with smaller potential have a higher cost per unit\n\n\nof electricity investment because they are more dependent on the external electricity supply.\n\n\n**Calibration** **of** **Available** **Grid** **Supply** **of** **Electricity.** To calibrate _Ei_, we use the IBGE\n\n\ncontinuous cartographic database (Bases Cartográficas Contínuas), which provides data on\n\n\nthe location and load of the main sources of energy generation. We use the load from thermal\n\n\nand hydroelectric stations to compute a distance-weighted average of the total available load\n\n\nfor each region. We subtract the average electric power transmission losses. <sup>16</sup> Finally, we\n\n\nnormalize this index to be in the range [1, 100].\n\n\n**Calibration of Local Quality of Electricity.** The observed quality of electricity _Gi_ is cal\n\nculated based on two collective indicators of continuity provided by ANEEL: the Equivalent\n\n\n15This number comes from the World Bank PPI database: `ppi.worldbank.org` . Other sources (Paiva,\n\n\n2010; BNDES, 2014) suggest very similar values.\n\n16World Bank Data estimates that average electric power losses as a percentage of output from transmission\n\nand distribution are 14.6%. The series identifier is EG.ELC.LOSS.ZS.\n\n\n21\n\nMention: \"IBGE\n\n\ncontinuous cartographic database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IBGE cartographic data on generation-source locations and load are used to calculate region-level available grid supply.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000575:22:3", "occurrence_id": "4aac184e3e329bcbf67a9e79", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  paper. Their estimates provide the geographic potential for hydroelectric\n\n\nenergy production. We assume that locations with smaller potential have a higher cost per unit\n\n\nof electricity investment because they are more dependent on the external electricity supply.\n\n\n**Calibration** **of** **Available** **Grid** **Supply** **of** **Electricity.** To calibrate _Ei_, we use the IBGE\n\n\ncontinuous cartographic database (Bases Cartográficas Contínuas), which provides data on\n\n\nthe location and load of the main sources of energy generation. We use the load from thermal\n\n\nand hydroelectric stations to compute a distance-weighted average of the total available load\n\n\nfor each region. We subtract the average electric power transmission losses. <sup>16</sup> Finally, we\n\n\nnormalize this index to be in the range [1, 100].\n\n\n**Calibration of Local Quality of Electricity.** The observed quality of electricity _Gi_ is cal\n\nculated based on two collective indicators of continuity provided by ANEEL: the Equivalent\n\n\n15This number comes from the World Bank PPI database: `ppi.worldbank.org` . Other sources (Paiva,\n\n\n2010; BNDES, 2014) suggest very similar values.\n\n16World Bank Data estimates that average electric power losses as a percentage of output from transmission\n\nand distribution are 14.6%. The series identifier is EG.ELC.LOSS.ZS.\n\n\n21\n\nMention: \"ANEEL\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ANEEL continuity indicators are used to calculate the observed local quality of electricity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000575:22:3", "occurrence_id": "b86f0d311726247cdfef3f3e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  paper. Their estimates provide the geographic potential for hydroelectric\n\n\nenergy production. We assume that locations with smaller potential have a higher cost per unit\n\n\nof electricity investment because they are more dependent on the external electricity supply.\n\n\n**Calibration** **of** **Available** **Grid** **Supply** **of** **Electricity.** To calibrate _Ei_, we use the IBGE\n\n\ncontinuous cartographic database (Bases Cartográficas Contínuas), which provides data on\n\n\nthe location and load of the main sources of energy generation. We use the load from thermal\n\n\nand hydroelectric stations to compute a distance-weighted average of the total available load\n\n\nfor each region. We subtract the average electric power transmission losses. <sup>16</sup> Finally, we\n\n\nnormalize this index to be in the range [1, 100].\n\n\n**Calibration of Local Quality of Electricity.** The observed quality of electricity _Gi_ is cal\n\nculated based on two collective indicators of continuity provided by ANEEL: the Equivalent\n\n\n15This number comes from the World Bank PPI database: `ppi.worldbank.org` . Other sources (Paiva,\n\n\n2010; BNDES, 2014) suggest very similar values.\n\n16World Bank Data estimates that average electric power losses as a percentage of output from transmission\n\nand distribution are 14.6%. The series identifier is EG.ELC.LOSS.ZS.\n\n\n21\n\nMention: \"World Bank PPI database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"World Bank PPI supplies a reported value that is cross-checked against similar values in other sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000580:0:0", "occurrence_id": "a699bfbfa8776071b4bb1289", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Policy Research Working Paper\n10502\nHow Prevalent Are Credit-Constrained \nFirms in the Formal Private Sector?\nEvidence Using Global Surveys\nAsif M. Islam\nJorge Rodriguez Meza\nGlobal Indicators Group &\nMiddle East and North Africa Region\nJune 2023\nPublic Disclosure Authorized\nPublic Disclosure Authorized\nPublic Disclosure Authorized\nPublic Disclosure Authorized\n\nMention: \"Global Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The paper identifies global survey evidence as its empirical basis for estimating credit constraints among formal private-sector firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000609:48:0", "occurrence_id": "2071ea18c6ecb78f6eed7876", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **A.5** **Governance** **Quality** **Measures**\n\n\n<u>Economy-level</u> <u>Measures</u> <u>of</u> <u>Governance</u> <u>(range</u> <u>shown</u> <u>below</u> <u>indicator)</u>\n\n\n_Corruption_ _Perceptions_ Corruption Perceptions Index, re-scaled so that 100 is the\n(29,79) highest level of perceived corruption.\nSource: Transparency International\n\n\n_Political_ _Constraints_ POLCON index\n(1,60) Source: Henisz (2002)\n\n\n_Voice_ _&_ _Accountability_ WGI sub-component\n(14,74) Source: World Governance Indicators\n\n\n_Political_ _Stability_ WGI sub-component\n(13,75) Source: World Governance Indicators\n\n\n_Government_ _Effectiveness_ WGI sub-component\n(28,77) Source: World Governance Indicators\n\n\n_Regulatory_ _Quality_ WGI sub-component\n(25,83) Source: World Governance Indicators\n\n\n_Rule_ _of_ _Law_ WGI sub-component\n(23,76) Source: World Governance Indicators\n\n\n_Control_ _of_ _Corruption_ WGI sub-component\n(23,75) Source: World Governance Indicators\n\n\n_Power_ _Shift_ Takes a value of 1 if, in the last 5 years:\n(0,1) i) There is a change in executive party in a parliamentary system\nii) in a non-parliamentary system if the executive’s name and party\nhas changed.\niii) in a non-parliamentary system the executive name changes and\neither they or incumbent is an independent.\niv) is an interim government\n\nMention: \"Corruption Perceptions Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"The rescaled index supplies an economy-level measure of perceived corruption for governance-quality analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000624:12:1", "occurrence_id": "fb38e6ce1cfed767fad58df9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ***\n\nAccess to nonlabor income 0.470 0.451 0.529 0.000***\n\nShare of nonfarm labor income (%) 0.248 0.297 0.103 0.000***\n\nShare of nonlabor income (%) 0.174 0.144 0.262 0.000***\n\nNumber of unpaid ag family workers 0.179 0.220 0.059 0.000***\n\nAgricultural inputs (Rs./month) 4,812 5,449 2,923 0.000***\n\nTractor (=1 if tractor(s), =0 otherwise) 0.104 0.122 0.048 0.000***\n\nIncidence of natural calamity 0.114 0.109 0.132 0.071*\n\nAccess to finance 0.090 0.098 0.066 0.000***\n\nAccess to ICT 0.880 0.882 0.874 0.267\n\nIncidence of crop subsidy 0.337 0.389 0.180 0.000***\n\nValue of crop subsidy (Rs./month) 898 935 658 0.150\n\nExport Orientation Index 0.216 0.177 0.339 0.000***\n\nSimpson Index of Diversification 0.102 0.115 0.060 0.000***\n\n<u>Source: authors’ calculation using HIES 2016.</u>\nNotes: <sup>a</sup> Self-employed farmers are defined as those who had income from at least one crop activity. Those\nfarmers having only livestock activity are not included due to the lack of land information.\nc Productivity is measured as gross crop income divided by cultivated area in acres.\n*, **, and *** indicate that the male-female difference is significant at the 10, 5 and 1% level, respectively.\nICT = information and communication technology\n\nMention: \"HIES 2016\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"HIES 2016 household data underlie gender comparisons in farm income, inputs, crop subsidies, and diversification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000636:20:0", "occurrence_id": "c27c1feec66a90b76c9e910b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _Source: Reform Committee data_\n_Note: Share of economies with reform committees_\n\nAs a part of their work program, reform committees also engage in peer-to-peer learning initiatives, such\nas meetings with states or other departments that have successfully implemented reforms. These initiatives\ncapture knowledge sharing across states and can play a role in reforming, as studies show countries can\nlearn from their neighbors’ efforts to establish reform committees. Sub-Saharan Africa followed by East\nAsia and the Pacific and high-income OECD are the regions with the highest number of peer-to-peer\nlearning initiatives organized by and within the reform committee/council.\n\n\n**5. Case Studies**\n\nIn this section, we present the following four case studies: Djibouti, Moldova, Mexico, and Malaysia.\n\n\n**5.1. Djibouti**\n\n\nThe Republic of Djibouti launched the Djibouti Economic Development Council (Conseil de\nDéveloppement Economique or CDED) in 2016 to organize and closely monitor the implementation of\nnational reforms, for the purpose of promoting sustainable economic growth and overall prosperity of the\ncountry. To ensure the soundness and appropriate handling of the State’s ventures and projects, CDED\noversees and maintains harmony between the various domestic organizations and ministries involved in the\ndevelopment of economic policies. In this regard, the reform committee aims at stimulating the commercial\nand industrial growth of Djibouti, along with generating employment (Décret No 2016-242/PRE, 2018).\n\n\nThe Council, which has a permanent mandate, meets at least once a month; if judged necessary the President\nmay call a meeting at any time (Décret No 2016-242/PRE and Reform Committee Survey). The President\nof the Republic also acts as the President of the Council, with six additional members including ministers\nof Economy and Finance, Investments and Foreign Affairs, the Secretary General, the President’s\nEconomic Affairs Advisor and the Ports and Free Zones Authority’s President\n\nMention: \"Reform Committee Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The Reform Committee Survey is cited alongside a decree for details about the council's composition and meeting arrangements.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000658:17:0", "occurrence_id": "bf6310d641039dc46ae07b82", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: a technology, such as 2G, 3G or 4G, by intersecting the estimated site locations with the coverage map\n\n\npolygons from the global Mobile Coverage Explorer (Collins Bartholomew, 2019).\n\n\nTo ensure the analysis is logical, certain areas need to be excluded to avoid overestimation. Firstly, all\n\n\nstatistical areas with a name identifier containing ‘lake’ are excluded, to prevent the model\n\n\noverbuilding infrastructure on large water bodies. Secondly, for the vast Saharan desert (covering over\n\n\n9 million km <sup>2</sup> ), existing statistical boundary products often diverge in their zoning of these regions,\n\n\nwith some statistical areas having diameters over 1 million kilometers. Therefore, for the northeastern\n\n\npart of Mali, where statistical boundaries differ considerably in size from other regions being assessed,\n\n\nnine statistical areas are excluded, constituting only 0.4% of the modeled population. If these areas\n\n\nare not excluded, terrestrial investment costs are overestimated. Other analyses exclude the hardest\n\nto-reach 10% to 20% of the population, assuming satellite will be the only option to connect in these\n\n\nareas (International Telecommunication Union, 2020), so despite these exclusions this analysis still\n\n\nassesses universal broadband reaching 99.6% of the total population.\n\n\nTo estimate baseline capacity both current and future spectrum bands are used for the assessment\n\n\nperiod. Average downlink spectrum portfolios for a hypothetical MNO are identified for Côte d’Ivoire\n\n\n(3G: 15MHz@2100MHz and 4G: 10MHz@ 800MHz), Mali (3G: 10MHz@2100MHz and 4G:\n\n\n10MHz@700MHz), Senegal (3G: 10MHz@1800MHz and 2100MHz, and 4G 10MHz@800MHz and\n\n\n1800MHz), Kenya (3G: 20MHz@1800MHz and 4G: 10MHz@700MHz and 800MHz), Tanzania (3G:\n\n\n10MHz@1800 MHz and 2100MHz and 4G\n\nMention: \"global Mobile Coverage Explorer\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Global mobile-coverage polygons are intersected with estimated site locations to identify technology-specific coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000696:52:0", "occurrence_id": "4250ecf263ded984c64ae464", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: NO2 (LHS) Stringency index (RHS)\n\n\n\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n−20\n\n\n−40\n\n\n−60\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n−20\n\n\n−40\n\n\n−60\n\n\n\n**China**\n\n\n\nOct Dec Feb Apr Jun Aug Oct Dec Feb Apr\n2019 2020 2021\n\n\n**United States of America**\n\n\nOct Dec Feb Apr Jun Aug Oct Dec Feb Apr\n2019 2020 2021\n\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n−20\n\n\n−40\n\n\n−60\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n−20\n\n\n−40\n\n\n−60\n\n\n\n**Italy**\n\n\n\nOct Dec Feb Apr Jun Aug Oct Dec Feb Apr\n2019 2020 2021\n\n\n**France**\n\n\nOct Dec Feb Apr Jun Aug Oct Dec Feb Apr\n2019 2020 2021\n\n\n\n\n\n\n\n100\n\n\n80\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n100\n\n\n80\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n\n100\n\n\n80\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n100\n\n\n80\n\n\n60\n\n\n40\n\n\n20\n\n\n0\n\n\n\nFigure S5: COVID-19 Lockdown Stringency Index and NO2, by-Country.\n_Notes._ NO2: percentage change in the 91 day rolling. Stringency Index: World Bank, Our World in Data.\n\n\n_N_ = 3 _,_ 073 and _R_ <sup>2</sup> = 0 _._ 01. The constant is negative both due to overall downward trend in\n\nNO2, and overall nationwide decline in NO2 in 2020 due to the pandemic. The effect of the\n\nDemocratic margin is negative, consistent with the collective inaction thesis. While this result\n\nis interesting, there are important robustness checks to this incomplete claim. For instance,\n\nwe make no effort to disentangle whether these differences are due to more lax orders, or more\n\nresistance to orders. These questions are beyond the scope of our analysis.\n\n#### **B Other Results**\n\n###### **B.1 Night Lights Baseline**\n\n\nIn this subsection we show how the incremental introduction of updated data, satellite instru\nments, and technical adjustments (including removal of stray lights and inter\n\nMention: \"Our World in Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Our World in Data supplies lockdown-stringency index values plotted alongside country-level NO2 changes during 2019–2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000713:3:2", "occurrence_id": "733af241f78717379ae21cb4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , however, there is a lack of longitudinal\nevidence. **[9–11, 13–17]** Such longitudinal evidence is needed to understand the dynamics of vaccine\nacceptance in the region with some of the world’s lowest COVID-19 vaccine coverage figures. By virtue\nof the recurring nature of the HFPS, we are able to study vaccine attitudes and their correlates at the countrylevel and among a panel of individuals over a 2-year time horizon.\n\n\n2\n\nMention: \"HFPS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Recurring HFPS waves support longitudinal analysis of vaccine attitudes and correlates at country and individual-panel levels over two years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000765:6:0", "occurrence_id": "b6c17ee91807cfd9ce311f9c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: pattern of investment, indicating that Islamic investing and socially responsible investing are driven\n(at least in part) by considerations other than fund performance. However, we fail to find evidence\nthat investors view socially responsible funds as substitutes for Islamic funds, with religious\ninvestors choosing to invest higher amounts in Islamic funds even when the alternative fund is\nsocially responsible.\n\n\nOur results provide clear evidence for religiously motivated investing. To the best of our\nknowledge, ours is the first study that aims to assess the non-pecuniary motivations behind\nreligious investments through a lab experiment. Our study contributes to literature on the role of\nnon-financial information in investment decisions, investor loyalty and faith-based investing. Our\nfindings hold important implications for a growing segment of the mutual fund industry,\nparticularly investment patterns and communication strategies.\n\n\nThe rest of the paper is organized as follows: Section 2 outlines the design of the lab\nexperiment; Section 3 presents the results; Section 4 discusses the findings; and Section 5\nconcludes the paper.\n\n### **2 EXPERIMENTAL DESIGN**\n\n\nOur experiment utilizes a between-subjects design, with a control group and three\ntreatment groups. Our sample consists of university undergraduate students at a private university\nin Pakistan – the Lahore University of Management Sciences. Students at this university generally\nbelong to the mid to upper income levels of Pakistani society. This sample is ideal for our\npurposes, as Pakistan has the second largest population of Muslims in the world (following\nIndonesia) and has a high proportion of Muslims (96.5% according to the 2017 census).\nFurthermore, the sample is well-educated and likely to be high earners in the future (due to strong\nemployment prospects of the university’s graduates), and hence are likely to engage with the\nfinancial services sector, including as investors. Hence, conducting a study on Islamic investing is\nideal with this sample. In addition to this, Pakistan is a middle-income country, and has a\n\nMention: \"2017 census\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"The census statistic establishes Pakistan's Muslim population share as context for the religious-investment experiment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000805:3:1", "occurrence_id": "cd8ace6f38d5b7a1ef893da3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the same time, drought frequency and duration have increased by nearly a third globally since\n2000. <sup>2</sup> The frequency of _extreme_ dry shocks <sup>3</sup> has substantively increased by about 233 percent as shown in\nFigure 2.\n\n\nFigure 1: Global Trends in Land Area with Above- and Below-Average Rainfall, 1960–2020\n\n\nSource: Calculations using data from Willmott and Matsuura (2001)\n\n\n2 UNCCD Report “Drought in Numbers 2022.”\n3 Defined here as shocks that are at least 2 standard deviations (SDs) below the long-term mean. Note that a 2 SD dry\nshock is a very rare event and includes the driest 2.5 years in a century.\n\nMention: \"data from Willmott and Matsuura\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Willmott and Matsuura data are used to calculate global rainfall-area trends and assess drought-related changes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000843:28:0", "occurrence_id": "f4688c1d4a8ab1c17d447454", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 2: Distribution of year that SDI Grade 4 teacher sample started teaching**\n\n\nNote: Sample is Grade 4 teachers that took the subject tests in the SDI sample. Vertical line shows year of FPE\n\n\n\n26\n\nMention: \"SDI sample\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The SDI Grade 4 teacher sample provides respondents for a distribution of teachers' starting years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000849:14:0", "occurrence_id": "cbe9ba0d39f2a2dbb2f07f1f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Producer Price Index by Industry: Deep Sea Freight Transportation: Deep Sea Freight Transportation\nServices\n\n\n380\n\n\n360\n\n\n340\n\n\n320\n\n\n300\n\n\n280\n\n\n260\n\n\n240\n\n|Col1|Col2|Col3|Col4|Col5|Col6|Col7|Col8|\n|---|---|---|---|---|---|---|---|\n|||||||||\n|||||||||\n|||||||||\n|||||||||\n|||||||||\n|||||||||\n||<br>|<br>|<br>|<br>|<br>|<br>|<br>|\n\n\n\n<mark>Shaded areas indicate U.S. recessions.</mark> <mark>Source: U.S. Bureau of Labor Statistics</mark> <mark>fred.stlouisfed.org</mark>\n\n\n**Figure** **1:** PPI for deep sea freight transportation services between January 2015 and\nJanuary 2022, taken directly from FRED.\n\n\ncation is motivated by the behavior of the producer price index for deep sea freight trans\n\nportation services, depicted in figure 1. This index increased by approximately 12% from\n\n\nits pre-pandemic level of 330 to around 370 in December 2021.\n\n\nIt is worth noting that the aforementioned producer price index may not capture the\n\n\nfull increase in the cost of cross-border trade, as other trade cost components could have\n\n\nalso risen. Nevertheless, iceberg trade costs in trade models also include non-physical\n\n\nfactors such as marketing or research costs for entry into a foreign country, which may not\n\n\nhave risen as much as physical costs. Overall, we view the 12% increase in the iceberg trade\n\n\ncost as a suggestive benchmark\n\nMention: \"producer price index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The producer price index measures deep-sea freight-service prices and is used as a benchmark for trade-cost increases.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000850:40:0", "occurrence_id": "a54dd923c1e0b4c780b13a98", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>Table</u> <u>4:</u> <u>Summary</u> <u>statistics:</u> <u>wealth-related</u> <u>variables</u> <u>of</u> <u>households</u> <u>in</u> <u>host</u> <u>communities</u>\n\n**<u>Variable</u>** **<u>Mean</u>** **<u>Std.</u>** **<u>Dev.</u>** **<u>Min.</u>** **<u>Max.</u>**\nLog(Consumption) 4.4573 0.9797 0.6186 10.7893\nPoorest 0.3082 0.4619 0 1\n<u>Quintiles</u> <u>3.0187</u> <u>1.407</u> <u>1</u> <u>5</u>\n<u>N</u> <u>1444</u>\n\n\nThe data is from the World Bank’s cross-sectional data set Profile of Internally Displaced Persons in North-East\nNigeria 2018 that captures households in host communities. _Log(Consumption)_ is continuous and captures householdlevel logarithms of consumption per capita, per day in Nigerian Naira in 2018. _Poorest_ is a binary variable indicating\nwhether a household belongs to the poorest ethnic group in a given LGA. _Quintiles_ divides households into consumption quintiles. _Log(Consumption)_ is employed as a dependent variable in the sensitivity analyses addressing RQ1\n\nMention: \"Profile of Internally Displaced Persons\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Cross-sectional host-community household data supply consumption measures used as dependent variables in sensitivity analyses.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000938:13:0", "occurrence_id": "41e4e7a24a492e131b4b2ff8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table** **1:** Overview of Indonesian targeting survey variables\n\n\n**Type** **Theme** **Variables** **included**\n\n\nCore Demographics Household size & HH size <sup>2</sup>, number of\npeople by age groups by gender, urban/rural, family structure, family smart\ncard\nOptional Housing Materials used in the floor, wall, roof,\nsource of drinking water and cooking water, type of lighting & cooking fuel, toilet facilities, septic tank, floor space per\ncapita, ownership status.\nAssets Household ownership of: motorcycle,\ncar, computer, fridge, boat, motorboat,\nphone, water heated, air conditioning\nEducation Household members’ total levels of educational attainment and enrolment\nEmployment Employment status, employment sectors\n\n\n**Baseline** **PMT**\n\n\nThe Indonesian PMT implemented in the country’s social registry provides\nthe baseline method for the early stopping algorithm’s performance. Its\nconstruction uses the data described above, and follows the canonical PMT\napproach in Algorithm 1 except for two significant changes. The first is in\nline with McBride and Nichols [2018], who pointed out that PMT is an outof-sample prediction task and that a cross-validation approach to variable\nselection leads to better performance than in-sample measures such as information criteria. Accordingly, we substitute selection via an information\ncriterion with 5-fold cross-validation and a mean squared error (MSE) selection criterion. The stopping criterion is triggered when the cross-validated\nerror no longer declines. MSE is the preferred metric as it aligns with the\nobjective function of predictive model OLS <sup>4</sup> . The second change is to start\nestimation from a set of core questions required for administrative reasons\nor known up front. The rationale is that the algorithm should leverage\nboth mandatory and pre-existing data to achieve a higher starting accuracy,\n\nMention: \"social registry\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"The registry's PMT baseline is compared against a cross-validated early-stopping algorithm built from the listed household variables.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000949:12:1", "occurrence_id": "6764a233da1f7aa91ff8f2c7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , these\ndata can be found in land registries or tax authorities, collated from real estate agencies, collected through\nonline surveys, or obtained through appraisals or valuations as part of the mortgage process. However, none\nof these sources are feasible for automated data collection in EMDEs as the various institutions holding\nthese price data do not yet have a standardized way of collecting, publishing, or even digitizing them. In\nmarkets characterized by lax regulation or enforcement, transacting parties may under-declare property\nprices to avoid negative ramifications with respect to paying additional registration costs or taxes.\n\n\nWe opted to collect property price data for EMDEs through a web scraping approach of real estate websites.\nWhile not yielding transaction prices, obtaining listing prices of formal properties is a viable alternative to\ngathering price data in EMDEs, where data are otherwise non-existent. At least in the context of developed\nmarkets, strong evidence exists that listing prices are correlated and a good leading indicator for transaction\nprices (e.g., Ardila et al. 2021; Anenberg & Laufer 2017; Lyons 2019). For each economy, we scrape\nproperty prices and additional data points for all available listings, capturing, to the extent possible, location\naspects. Scraping unique property transactions has several advantages: first, they allow us to provide actual\nproperty price data of an entire housing market in EMDEs, facilitating analysis beyond aggregated or\nindexed data. Particularly in EMDEs, we expect significant differences in prices between the biggest\nbusiness city and rural areas, and more considerable skewness in data even within cities. Second, by web\nscraping property prices of the entire formal housing market, we can analyze sub-markets in greater detail.\nThird, collecting house price data from the entire formal, online housing market allows us to also capture\nthe quantity of housing available at different price segments and can, therefore, provide an overview on the\n\n\n11\n\nMention: \"property price data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Researchers scrape real-estate websites to assemble formal-property listing prices and analyze housing-market subsegments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000953:41:2", "occurrence_id": "fdd222da97488257791dadd3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br>0.538<br>0.904<br>0.606<br>1.079<br>0.684|0.420<br>0.381<br>0.462<br>0.427<br>0.567<br>0.494<br>0.559<br>0.455|\n||**Rural Daughters**|**Rural Daughters**|**Rural Daughters**|\n|1980-1989<br>1970-1979<br>1960-1969<br>1950-1959|0.484<br>0.381<br>0.446<br>0.326<br>0.350<br>0.247<br>0.367<br>0.251|0.730<br>0.532<br>0.819<br>0.522<br>0.905<br>0.521<br>0.947<br>0.496|0.456<br>0.411<br>0.560<br>0.514<br>0.698<br>0.593<br>0.451<br>0.463|\n\n\n_Notes_ : (1) The data are from children who were born between 1950 and 1989 using the CFPS 2010 round for\nChina, the IHDS 2012 round for India, and the IFLS 2014 round for Indonesia. (2) Each row uses a subsample of children who were born in the given birth cohort and the given category.\n\n\n39\n\nMention: \"CFPS 2010 round\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"CFPS 2010 child observations contribute to the birth-cohort comparisons summarized in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000953:41:2", "occurrence_id": "a4019e9879c0e9221dc0bfd7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br>0.538<br>0.904<br>0.606<br>1.079<br>0.684|0.420<br>0.381<br>0.462<br>0.427<br>0.567<br>0.494<br>0.559<br>0.455|\n||**Rural Daughters**|**Rural Daughters**|**Rural Daughters**|\n|1980-1989<br>1970-1979<br>1960-1969<br>1950-1959|0.484<br>0.381<br>0.446<br>0.326<br>0.350<br>0.247<br>0.367<br>0.251|0.730<br>0.532<br>0.819<br>0.522<br>0.905<br>0.521<br>0.947<br>0.496|0.456<br>0.411<br>0.560<br>0.514<br>0.698<br>0.593<br>0.451<br>0.463|\n\n\n_Notes_ : (1) The data are from children who were born between 1950 and 1989 using the CFPS 2010 round for\nChina, the IHDS 2012 round for India, and the IFLS 2014 round for Indonesia. (2) Each row uses a subsample of children who were born in the given birth cohort and the given category.\n\n\n39\n\nMention: \"IHDS 2012 round\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IHDS 2012 child observations contribute to the birth-cohort comparisons summarized in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000953:41:2", "occurrence_id": "0b7f336ed40bfd3c7269b8c8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br>0.538<br>0.904<br>0.606<br>1.079<br>0.684|0.420<br>0.381<br>0.462<br>0.427<br>0.567<br>0.494<br>0.559<br>0.455|\n||**Rural Daughters**|**Rural Daughters**|**Rural Daughters**|\n|1980-1989<br>1970-1979<br>1960-1969<br>1950-1959|0.484<br>0.381<br>0.446<br>0.326<br>0.350<br>0.247<br>0.367<br>0.251|0.730<br>0.532<br>0.819<br>0.522<br>0.905<br>0.521<br>0.947<br>0.496|0.456<br>0.411<br>0.560<br>0.514<br>0.698<br>0.593<br>0.451<br>0.463|\n\n\n_Notes_ : (1) The data are from children who were born between 1950 and 1989 using the CFPS 2010 round for\nChina, the IHDS 2012 round for India, and the IFLS 2014 round for Indonesia. (2) Each row uses a subsample of children who were born in the given birth cohort and the given category.\n\n\n39\n\nMention: \"IFLS 2014 round\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IFLS 2014 child observations contribute to the birth-cohort comparisons summarized in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000995:49:0", "occurrence_id": "633e9916c390bad9e6731e22", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sources: the IMF’s Government Finance Statistics and the World Bank’s Public Expenditure\n\n\nReviews.\n\n\nThe IMF’s Government Finance Statistics provide data on government expenditure\n\n\nclassified by function (COFOG). When available, we use the values corresponding to the SP\n\n\nexpenditure by the general government; otherwise, we use the values corresponding to the SP\n\n\nexpenditure by the central government including social security funds. This source provides us\n\n\ninformation for 94 countries in the period 1995-2020. In total, we use GFS data for 782 country\n\nyear observations.\n\n\nThe World Bank Public Expenditure Reviews (PERs) are a series of non-periodical\n\n\nreports analyzing the public expenditure of World Bank client countries. These reports are\n\n\noccasional and do not follow a fixed outline (differently to the IMF’s Article IV reviews). Most\n\n\nof these reports contain information on SP expenditure. We use information coming from\n\n\ndifferent PERs for 26 countries. In total, we use PER data for 179 country-year observations.\n\n\nLastly, for Benin, Mali and Tunisia we use data coming from the World Bank’s BOOST\n\n\nOpen Budgets Portal. This portal presents detailed budget information for these countries, which\n\n\nallows us to calculate public expenditure on SP. In total, we use BOOST for 37 country-year\n\n\nobservations.\n\n\n**<u>Table A1: Sources for SP expenditure</u>**\n\n\n\nSource Country-year\n\n<u>observations</u>\n\n\n\nNumber of\n\n<u>countries</u>\n\n\n\nPeriod Regions\n\n\n\nEurostat 587 28 1996-2019 European Union + United Kingdom\nSPEED 380 27 2000-2020 Europe and Central Asia + Turkey\nOECD 73 11 2000-2019 Non-European OECD countries\nECLAC 443 32 1995-2020 Latin America and the Caribbean\nGFS (IMF) 782 94 1995-2020 Africa, Middle East, South Asia,\n\nEast Asia and the Pacific +\ncountries not included in above\n\nsources\nWorld Bank PERs 179 26 1995-2020 Africa, Middle East,\n\nMention: \"Government Finance Statistics\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IMF Government Finance Statistics supply functional government-expenditure data used to assemble social-protection country-year observations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000995:49:0", "occurrence_id": "2ad2f6bd0cccb227d552fc0f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sources: the IMF’s Government Finance Statistics and the World Bank’s Public Expenditure\n\n\nReviews.\n\n\nThe IMF’s Government Finance Statistics provide data on government expenditure\n\n\nclassified by function (COFOG). When available, we use the values corresponding to the SP\n\n\nexpenditure by the general government; otherwise, we use the values corresponding to the SP\n\n\nexpenditure by the central government including social security funds. This source provides us\n\n\ninformation for 94 countries in the period 1995-2020. In total, we use GFS data for 782 country\n\nyear observations.\n\n\nThe World Bank Public Expenditure Reviews (PERs) are a series of non-periodical\n\n\nreports analyzing the public expenditure of World Bank client countries. These reports are\n\n\noccasional and do not follow a fixed outline (differently to the IMF’s Article IV reviews). Most\n\n\nof these reports contain information on SP expenditure. We use information coming from\n\n\ndifferent PERs for 26 countries. In total, we use PER data for 179 country-year observations.\n\n\nLastly, for Benin, Mali and Tunisia we use data coming from the World Bank’s BOOST\n\n\nOpen Budgets Portal. This portal presents detailed budget information for these countries, which\n\n\nallows us to calculate public expenditure on SP. In total, we use BOOST for 37 country-year\n\n\nobservations.\n\n\n**<u>Table A1: Sources for SP expenditure</u>**\n\n\n\nSource Country-year\n\n<u>observations</u>\n\n\n\nNumber of\n\n<u>countries</u>\n\n\n\nPeriod Regions\n\n\n\nEurostat 587 28 1996-2019 European Union + United Kingdom\nSPEED 380 27 2000-2020 Europe and Central Asia + Turkey\nOECD 73 11 2000-2019 Non-European OECD countries\nECLAC 443 32 1995-2020 Latin America and the Caribbean\nGFS (IMF) 782 94 1995-2020 Africa, Middle East, South Asia,\n\nEast Asia and the Pacific +\ncountries not included in above\n\nsources\nWorld Bank PERs 179 26 1995-2020 Africa, Middle East,\n\nMention: \"Public Expenditure\n\n\nReviews\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Bank Public Expenditure Reviews provide social-protection expenditure observations for countries and years lacking harmonized statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000995:49:0", "occurrence_id": "da0aa90f7a1c93d158d4a043", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sources: the IMF’s Government Finance Statistics and the World Bank’s Public Expenditure\n\n\nReviews.\n\n\nThe IMF’s Government Finance Statistics provide data on government expenditure\n\n\nclassified by function (COFOG). When available, we use the values corresponding to the SP\n\n\nexpenditure by the general government; otherwise, we use the values corresponding to the SP\n\n\nexpenditure by the central government including social security funds. This source provides us\n\n\ninformation for 94 countries in the period 1995-2020. In total, we use GFS data for 782 country\n\nyear observations.\n\n\nThe World Bank Public Expenditure Reviews (PERs) are a series of non-periodical\n\n\nreports analyzing the public expenditure of World Bank client countries. These reports are\n\n\noccasional and do not follow a fixed outline (differently to the IMF’s Article IV reviews). Most\n\n\nof these reports contain information on SP expenditure. We use information coming from\n\n\ndifferent PERs for 26 countries. In total, we use PER data for 179 country-year observations.\n\n\nLastly, for Benin, Mali and Tunisia we use data coming from the World Bank’s BOOST\n\n\nOpen Budgets Portal. This portal presents detailed budget information for these countries, which\n\n\nallows us to calculate public expenditure on SP. In total, we use BOOST for 37 country-year\n\n\nobservations.\n\n\n**<u>Table A1: Sources for SP expenditure</u>**\n\n\n\nSource Country-year\n\n<u>observations</u>\n\n\n\nNumber of\n\n<u>countries</u>\n\n\n\nPeriod Regions\n\n\n\nEurostat 587 28 1996-2019 European Union + United Kingdom\nSPEED 380 27 2000-2020 Europe and Central Asia + Turkey\nOECD 73 11 2000-2019 Non-European OECD countries\nECLAC 443 32 1995-2020 Latin America and the Caribbean\nGFS (IMF) 782 94 1995-2020 Africa, Middle East, South Asia,\n\nEast Asia and the Pacific +\ncountries not included in above\n\nsources\nWorld Bank PERs 179 26 1995-2020 Africa, Middle East,\n\nMention: \"GFS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GFS data contribute 782 country-year observations of social-protection expenditure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000995:49:0", "occurrence_id": "bdb2a50d5712b5abb6bc9eb8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sources: the IMF’s Government Finance Statistics and the World Bank’s Public Expenditure\n\n\nReviews.\n\n\nThe IMF’s Government Finance Statistics provide data on government expenditure\n\n\nclassified by function (COFOG). When available, we use the values corresponding to the SP\n\n\nexpenditure by the general government; otherwise, we use the values corresponding to the SP\n\n\nexpenditure by the central government including social security funds. This source provides us\n\n\ninformation for 94 countries in the period 1995-2020. In total, we use GFS data for 782 country\n\nyear observations.\n\n\nThe World Bank Public Expenditure Reviews (PERs) are a series of non-periodical\n\n\nreports analyzing the public expenditure of World Bank client countries. These reports are\n\n\noccasional and do not follow a fixed outline (differently to the IMF’s Article IV reviews). Most\n\n\nof these reports contain information on SP expenditure. We use information coming from\n\n\ndifferent PERs for 26 countries. In total, we use PER data for 179 country-year observations.\n\n\nLastly, for Benin, Mali and Tunisia we use data coming from the World Bank’s BOOST\n\n\nOpen Budgets Portal. This portal presents detailed budget information for these countries, which\n\n\nallows us to calculate public expenditure on SP. In total, we use BOOST for 37 country-year\n\n\nobservations.\n\n\n**<u>Table A1: Sources for SP expenditure</u>**\n\n\n\nSource Country-year\n\n<u>observations</u>\n\n\n\nNumber of\n\n<u>countries</u>\n\n\n\nPeriod Regions\n\n\n\nEurostat 587 28 1996-2019 European Union + United Kingdom\nSPEED 380 27 2000-2020 Europe and Central Asia + Turkey\nOECD 73 11 2000-2019 Non-European OECD countries\nECLAC 443 32 1995-2020 Latin America and the Caribbean\nGFS (IMF) 782 94 1995-2020 Africa, Middle East, South Asia,\n\nEast Asia and the Pacific +\ncountries not included in above\n\nsources\nWorld Bank PERs 179 26 1995-2020 Africa, Middle East,\n\nMention: \"PER data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"PER data contribute 179 country-year observations of social-protection expenditure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:000995:49:0", "occurrence_id": "2af6df5095634c9020808d6a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sources: the IMF’s Government Finance Statistics and the World Bank’s Public Expenditure\n\n\nReviews.\n\n\nThe IMF’s Government Finance Statistics provide data on government expenditure\n\n\nclassified by function (COFOG). When available, we use the values corresponding to the SP\n\n\nexpenditure by the general government; otherwise, we use the values corresponding to the SP\n\n\nexpenditure by the central government including social security funds. This source provides us\n\n\ninformation for 94 countries in the period 1995-2020. In total, we use GFS data for 782 country\n\nyear observations.\n\n\nThe World Bank Public Expenditure Reviews (PERs) are a series of non-periodical\n\n\nreports analyzing the public expenditure of World Bank client countries. These reports are\n\n\noccasional and do not follow a fixed outline (differently to the IMF’s Article IV reviews). Most\n\n\nof these reports contain information on SP expenditure. We use information coming from\n\n\ndifferent PERs for 26 countries. In total, we use PER data for 179 country-year observations.\n\n\nLastly, for Benin, Mali and Tunisia we use data coming from the World Bank’s BOOST\n\n\nOpen Budgets Portal. This portal presents detailed budget information for these countries, which\n\n\nallows us to calculate public expenditure on SP. In total, we use BOOST for 37 country-year\n\n\nobservations.\n\n\n**<u>Table A1: Sources for SP expenditure</u>**\n\n\n\nSource Country-year\n\n<u>observations</u>\n\n\n\nNumber of\n\n<u>countries</u>\n\n\n\nPeriod Regions\n\n\n\nEurostat 587 28 1996-2019 European Union + United Kingdom\nSPEED 380 27 2000-2020 Europe and Central Asia + Turkey\nOECD 73 11 2000-2019 Non-European OECD countries\nECLAC 443 32 1995-2020 Latin America and the Caribbean\nGFS (IMF) 782 94 1995-2020 Africa, Middle East, South Asia,\n\nEast Asia and the Pacific +\ncountries not included in above\n\nsources\nWorld Bank PERs 179 26 1995-2020 Africa, Middle East,\n\nMention: \"BOOST\n\n\nOpen Budgets Portal\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"BOOST budget records enable calculation of social-protection expenditure for Benin, Mali, and Tunisia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001058:67:0", "occurrence_id": "59fb8e7aea4644f60baa2b5a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: - We scale the carbon input to energy production to match the carbon intensity of GDP:\n0.46 kg CO2 per 2015 $ of GDP, averaged over 2000-2022, from World Development\nIndicators of the World Bank.\n\n\n  - The value of total energy consumption as a share of GDP is 7.1%, calculated from\nGLORIA database.\n\n\n  - The constant USD price of carbon is restricted to attain primary fossil energy supply\nexpenditure-GDP ratio of 3.9%, from GLORIA database.\n\n\n  - The ratio of total imports to GDP is around 26%, calculated from GLORIA database.\n\n\nNote that the steady state values of a few important variables have a direct equivalent in\nthe data and have been calibrated accordingly. These values can be set directly and do not\nrequire another parameter to be restricted. They are reported in Tables B2 and B3.\n\n###### **B.4 Estimation strategy**\n\n\nIn this subsection, we discuss our Bayesian estimation strategy together with the results.\nThe basic idea of Bayesian statistics comes from the Bayes’ rule:\n\n\n_p_ ( _θ|_ **y** ) = <sup>_<u>p</u>_</sup> <sup><u>(</u></sup> <sup>**<u>y</u>**</sup> <sup>_<u>|θ</u>_</sup> <sup><u>)</u></sup> <sup>_<u>p</u>_</sup> <sup><u>(</u></sup> <sup>_<u>θ</u>_</sup> <sup><u>)<\n\nMention: \"World Development\nIndicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"World Development Indicators carbon-intensity estimates calibrate the model's carbon input relative to GDP.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001058:67:0", "occurrence_id": "a81f9bb3882f5ec95a2e61f7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: - We scale the carbon input to energy production to match the carbon intensity of GDP:\n0.46 kg CO2 per 2015 $ of GDP, averaged over 2000-2022, from World Development\nIndicators of the World Bank.\n\n\n  - The value of total energy consumption as a share of GDP is 7.1%, calculated from\nGLORIA database.\n\n\n  - The constant USD price of carbon is restricted to attain primary fossil energy supply\nexpenditure-GDP ratio of 3.9%, from GLORIA database.\n\n\n  - The ratio of total imports to GDP is around 26%, calculated from GLORIA database.\n\n\nNote that the steady state values of a few important variables have a direct equivalent in\nthe data and have been calibrated accordingly. These values can be set directly and do not\nrequire another parameter to be restricted. They are reported in Tables B2 and B3.\n\n###### **B.4 Estimation strategy**\n\n\nIn this subsection, we discuss our Bayesian estimation strategy together with the results.\nThe basic idea of Bayesian statistics comes from the Bayes’ rule:\n\n\n_p_ ( _θ|_ **y** ) = <sup>_<u>p</u>_</sup> <sup><u>(</u></sup> <sup>**<u>y</u>**</sup> <sup>_<u>|θ</u>_</sup> <sup><u>)</u></sup> <sup>_<u>p</u>_</sup> <sup><u>(</u></sup> <sup>_<u>θ</u>_</sup> <sup><u>)<\n\nMention: \"GLORIA database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GLORIA data calibrate energy-consumption, carbon-price, and import-to-GDP ratios in the model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001119:27:0", "occurrence_id": "bc01b2271867a9bca0fd3f3b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To assess the potential production and income gains under various frontier attainment scenarios,\nTable 7 presents potential gains in terms of both kilograms and monetary values, for the specific\nplot as well as household level estimates. Household estimates are derived based on total area\ncultivated with maize by the household, which itself is imputed via multiple imputation methods\nto adjust for bias in self-reported area estimates. <sup>18</sup> A key assumption underlying the household\nlevel estimates is that the household experiences the same level of productivity on all maize plots.\nThe reported USD values of potential maize production gains are based on the November 2015\nFamine Early Warning Systems Network (FEWSNET) Uganda Price Bulletin kilogram unit price,\nand do not account for any additional expenditures required to attain the increased level of\nproductivity. <sup>19</sup>\n\nIf suitability-class-specific productivity gaps were closed such that all farmers were operating on\ntheir respective MAPS-based productivity frontier, the best-case scenario given soil constraints,\nhouseholds could produce an additional 208 kg, or USD 90, per bi-annual agricultural season, on\naverage. <sup>20</sup> Households classified as S3 under MAPS, assuming the suitability level is the same\nacross all maize plots in the household, only have the potential to earn an additional USD 56 per\nagricultural season, while those in the highly suitable (S1) category can earn USD 171 more.\nReaching this MAPS-based class-specific frontier has asymmetric benefits for female- and maleheaded households, with male-headed households earning USD 99 on average and female-headed\nhouseholds only USD 73.\n\nThe benefits of operating at this frontier also differ across the wealth distribution, with those in the\npoorest tercile having the potential to earn USD 77 per season, USD 28 less than those in the\nrichest tercile. If soil constraints were addressed such that all households were able to operate at\nthe S1\n\nMention: \"Uganda Price Bulletin\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"The bulletin's maize-price figure converts projected production gains from kilograms into USD.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001145:13:0", "occurrence_id": "bb13fef72457c628696b7799", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: expansion as the pandemic is brought under control (Nayyar and Davies 2023;\nCoulibaly and Foda 2020; World Bank 2021c; Zhan et al. 2020).\n\n\nThe four decades prior to the global financial crisis saw a steady increase in global\neconomic integration through trade, assisted partly by falling tariffs (figure 4). Since the\nglobal financial crisis, however, trade integration has stalled, with the COVID-19\npandemic and Russia’s invasion of Ukraine having added further obstacles. With\nRussia’s share of global oil production having increased considerably in recent decades,\nthere is now a material risk that the disruptions caused by Russia’s invasion of Ukraine\ncould lead to a major reconfiguration of global trade and investment networks, as\ncountries look for alternative sources of energy. While this may boost trade in some\nparts of the global economy, it is likely to disrupt trade elsewhere. Since such a\nreconfiguration would be motivated by political and security considerations rather than\neconomic considerations, it is likely to reduce global economic welfare as well as trade in\nthe long term (Ruta 2022).\n\n#### IV. Patterns in trade costs\n\n\nThe fading momentum of global trade growth is diminishing its role as an engine of\noutput and productivity growth. Countries therefore need to find new ways to reap the\nbenefits from trade. One possibility is to cut trade costs to boost exports and encourage\nimports in a manner that is growth-enhancing. A number of studies have documented\nthe negative impact of trade costs on trade growth (Anderson and van Wincoop 2003)\nand the boost to productivity that can result from lowering trade costs (Bernard,\nJensen, and Schott 2006). Trade costs have also been recognized as an important factor\nin firms’ decisions to choose out-sourcing over in-sourcing (Hartman et al. 2017).\n\n\nIV.1 Definition\n\n\nThe analysis in this paper relies on a comprehensive UNESCAP-World Bank dataset of\nbilateral trade costs. Following Novy\n\nMention: \"UNESCAP-World Bank dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The dataset supplies bilateral trade-cost measures used as the basis for analysis of trade patterns and costs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001123:7:0", "occurrence_id": "c0fe1405e16563bbfb21ec72", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: For coastal flood hazards, we use a global coastal flood map with 3-arcsecond resolution, generated using\nthe LISFLOOD-FP hydrological model <sup>43</sup>, with DEM MERIT as an input <sup>42</sup> . Coastal flood simulations are forced\nby extreme sea level scenarios derived from reanalyzing waves (using the <mark>WAVEWATCH-III mode</mark> <sup>44</sup> <mark>)</mark> and\nstorm surges (using the DFLOW-FM model <sup>31</sup> ), combined with tidal information <sup>45,46</sup> . As with fluvial and\npluvial floods, we consider 100-year events.\n\nGlobal flood maps do not incorporate the effects of artificial flood protection structures like dikes. This\ndata limitation is pervasive in the literature, as there is no complete global inventory of flood defenses.\nOngoing initiatives, such as the FLOPROS database, could eventually fulfill this need, but are still falling\nshort of comprehensive coverage <sup>47</sup> . The use of undefended flood maps is likely to result in overestimating\nexposure in locations where flood protection systems defend against 100-year floods (or higher). Case\nstudies and World Bank country risk assessments suggest that the vast majority of flood-exposed people\nin LICs and LMICs have no protection from a 100-year flood. Many LICs lack even basic drainage systems\nto manage light flooding. It is likely that only HICs and some UMICs offer such flood protection standards\nto a significant share of their populations; however, frequent flood disasters in these countries also\ndemonstrate that coverage is far from complete.\n\nThis study considers a 1-in-100 year return flood intensity to reflect relatively rare and intense disasters.\nHowever, the\n\nMention: \"FLOPROS database\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"FLOPROS is discussed as a potential global flood-defense inventory, but current coverage is incomplete and the study does not use it.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001183:23:0", "occurrence_id": "661d93922808b89426d512b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ## **Appendices**\n\n**A.** **BPS Data (Sample, Summary Statistics); Sectoral and Country Attributes**\n\n\n<u>Table A1:</u> <u>Number of firms in the BPS data sample per country</u>\nCountry Firm Country Firm Country Firm\nNumber Number Number\nAfghanistan 595 Hungary 706 Poland 1,824\nAlgeria 340 India 2,956 Portugal 853\nArgentina 210 Indonesia 768 Romania 1,373\nBangladesh 899 Italy 487 Senegal 377\nBenin 814 Jordan 48 Sierra Leone 432\nBrazil 1,009 Kenya 1,721 Slovak Republic 346\nBulgaria 1,357 Kosovo 1,663 Slovenia 314\nBurkina Faso 507 Kyrgyzstan 1,248 South Africa 1,760\nChile 214 Latvia 325 Sri Lanka 436\nCóte d’Ivoire 339 Lithuania 229 Sudan 414\nCroatia 381 Madagascar 329 Tajikistan 1,237\nCyprus 201 Malta 39 Tanzania 874\nCzechia 458 Moldova 309 Togo 150\nEl Salvador 474 Mongolia 290 Tunisia 481\nEstonia 297 Morocco 900 Türkiye 1,444\nGabon 110 Mozambique 2 Uzbekistan 1,264\nGeorgia 619 Nepal 1,510 Viet Nam 492\nGhana 3,890 Nicaragua 228 Zambia 564\nGreece 576 Nigeria 296 Zimbabwe 87\nGuatemala 232 Pakistan 508 _Total_ _43,389_\nHonduras 198 Paraguay 385\n\n\n22\n\nMention: \"BPS Data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"BPS firm observations define the multinational sample, summarized by country and firm count.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001224:5:0", "occurrence_id": "f3689ae4328f2c4dceb8213b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: I avoid clustering some regressions which include the IMF data transparency indicators because\nthese regression specifications involve a binary or a categorical indicator. The IMF indicator of\ntransparency used in this paper is a binary variable.\n\nMy baseline regression equation of returns of sovereign bond flows presents the following\nspecification: 𝛷𝛷𝑖 **𝑖** = 𝛼𝛼𝑖𝑖 + 𝛽𝛽𝑡𝑡 + 𝛾𝛾 <sup>′</sup> 𝛸𝛸𝑖 **𝑖** + 𝜇𝜇𝑖 **𝑖**\n\nwhere the dependent variable 𝛷𝛷𝑖 **𝑖** represents the sovereign bonds return for country _i_ in period _t_ .\nby the US 10-year Treasury bond yield and the VIX index, while country dummies are used to\n𝛼𝛼𝑖𝑖 is a country effect and 𝛽𝛽𝑡𝑡 is a time effect. In my regression analysis, time effects are captured\nproxy country effects. The matrix 𝛸𝛸𝑖 **𝑖** contains information on the pull and/or push factors\nincluding data transparency variables while γ is its coefficient vector. 𝜇𝜇𝑖 **𝑖** captures the residuals.\n\n**2.2 Data Description**\n\nI gathered annual data of sovereign bond returns for an effective sample of 76 countries from 1995\nto 2020 <sup>1</sup> [^1: Time series availability in this paper is constrained by data on transparency that is currently available up to 2020.] from the JPMorgan Markets database (please see Table 1). My dependent variable is the\nsovereign return index, which is measured by the emerging market bond index (EMBI), a\nbenchmark that captures the performance of international government bonds. The JP Morgan\nEmerging Market Bond Index is an unmanaged index that tracks total returns for dollardenominated Brady Bonds, Eurobonds, traded loans and local market debt instruments issued by\nsovereign and quasi-sovereign entities of emerging market countries.\n\nThe explanatory variables consist of pull (internal) and push (external) factors. Pull factors include\nthe GDP per capita (in US dollars at 2010 prices), CPI inflation (average percentage change in\nconsumer prices), general\n\nMention: \"IMF data transparency indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IMF transparency indicators enter the sovereign-bond-return regressions as binary explanatory variables.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001224:5:0", "occurrence_id": "fe7b54672f23335c628ce061", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: I avoid clustering some regressions which include the IMF data transparency indicators because\nthese regression specifications involve a binary or a categorical indicator. The IMF indicator of\ntransparency used in this paper is a binary variable.\n\nMy baseline regression equation of returns of sovereign bond flows presents the following\nspecification: 𝛷𝛷𝑖 **𝑖** = 𝛼𝛼𝑖𝑖 + 𝛽𝛽𝑡𝑡 + 𝛾𝛾 <sup>′</sup> 𝛸𝛸𝑖 **𝑖** + 𝜇𝜇𝑖 **𝑖**\n\nwhere the dependent variable 𝛷𝛷𝑖 **𝑖** represents the sovereign bonds return for country _i_ in period _t_ .\nby the US 10-year Treasury bond yield and the VIX index, while country dummies are used to\n𝛼𝛼𝑖𝑖 is a country effect and 𝛽𝛽𝑡𝑡 is a time effect. In my regression analysis, time effects are captured\nproxy country effects. The matrix 𝛸𝛸𝑖 **𝑖** contains information on the pull and/or push factors\nincluding data transparency variables while γ is its coefficient vector. 𝜇𝜇𝑖 **𝑖** captures the residuals.\n\n**2.2 Data Description**\n\nI gathered annual data of sovereign bond returns for an effective sample of 76 countries from 1995\nto 2020 <sup>1</sup> [^1: Time series availability in this paper is constrained by data on transparency that is currently available up to 2020.] from the JPMorgan Markets database (please see Table 1). My dependent variable is the\nsovereign return index, which is measured by the emerging market bond index (EMBI), a\nbenchmark that captures the performance of international government bonds. The JP Morgan\nEmerging Market Bond Index is an unmanaged index that tracks total returns for dollardenominated Brady Bonds, Eurobonds, traded loans and local market debt instruments issued by\nsovereign and quasi-sovereign entities of emerging market countries.\n\nThe explanatory variables consist of pull (internal) and push (external) factors. Pull factors include\nthe GDP per capita (in US dollars at 2010 prices), CPI inflation (average percentage change in\nconsumer prices), general\n\nMention: \"JPMorgan Markets database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"JPMorgan bond-return data provide the dependent sovereign-return index for the 76-country annual sample.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001232:59:1", "occurrence_id": "c7b3e1311ee71ea886076c11", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2.1** **Direct taxes and pension contributions**\n**Personal Income Tax (PIT)**\n\n**The main challenge in modeling the PIT was the complexity involved.** Two different tax systems were\nmodeled depending on region and worker status, and each with numerous tax exemptions and\ndeductions. In both systems, information on the order and size of the deductions and exemptions was\nlacking.\n\n**The PECS 2016/17 also does not specify whether income data is net or gross.** It was assumed that\nemployees would provide their income net of tax, while employers or self-employed workers would be\nmore likely to report their gross income.\n\nA description of the detailed challenges faced for each deduction can be found in Annex B.\n\n**Pension contributions**\n\n**The latest administrative numbers available on pension income and contributions are a few years out**\n**of date, from December 2013 and September 2014.** There were also a number of different schemes which\nmade it complex to understand and implement.\n\n**Property tax**\n\n**The main limitation for the estimation of the property tax is that there were several pieces of**\n**information that were not available in the PECS 2016/17 dataset, including:**\n\n\n\n(i) The area of the building and number of floors. This would be used to estimate the annual rental\n\nvalue of the building.\n(ii) The lease contract information. Having this information would be useful because the value of the\n\ntax varies with occupancy status (rented; prepared for rent; inhabited by the owner). To overcome\nthis limitation, the modeling has proceeded with the assumption that all the properties are\ninhabited by the owners themselves.\n(iii) For Land evaluation, in lieu of the missing survey data, administrative data (by city) on evaluation\n\n\n\nwas used and it was assumed that the valuation value is “average value per property” and not\n“\n\nMention: \"PECS 2016/17\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"PECS household income and property data are used in tax and pension modeling, with missing fields requiring explicit assumptions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001232:59:1", "occurrence_id": "b6c73326c792d0afd4fea27f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2.1** **Direct taxes and pension contributions**\n**Personal Income Tax (PIT)**\n\n**The main challenge in modeling the PIT was the complexity involved.** Two different tax systems were\nmodeled depending on region and worker status, and each with numerous tax exemptions and\ndeductions. In both systems, information on the order and size of the deductions and exemptions was\nlacking.\n\n**The PECS 2016/17 also does not specify whether income data is net or gross.** It was assumed that\nemployees would provide their income net of tax, while employers or self-employed workers would be\nmore likely to report their gross income.\n\nA description of the detailed challenges faced for each deduction can be found in Annex B.\n\n**Pension contributions**\n\n**The latest administrative numbers available on pension income and contributions are a few years out**\n**of date, from December 2013 and September 2014.** There were also a number of different schemes which\nmade it complex to understand and implement.\n\n**Property tax**\n\n**The main limitation for the estimation of the property tax is that there were several pieces of**\n**information that were not available in the PECS 2016/17 dataset, including:**\n\n\n\n(i) The area of the building and number of floors. This would be used to estimate the annual rental\n\nvalue of the building.\n(ii) The lease contract information. Having this information would be useful because the value of the\n\ntax varies with occupancy status (rented; prepared for rent; inhabited by the owner). To overcome\nthis limitation, the modeling has proceeded with the assumption that all the properties are\ninhabited by the owners themselves.\n(iii) For Land evaluation, in lieu of the missing survey data, administrative data (by city) on evaluation\n\n\n\nwas used and it was assumed that the valuation value is “average value per property” and not\n“\n\nMention: \"PECS 2016/17 dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The dataset supplies household information for property-tax estimation, but lacks building-area and lease details.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001337:3:1", "occurrence_id": "3077fe266626acc5159d9ac3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (Elu, 2018). Globally, less\n\n\nthan one-third of women in higher education are in STEM-related fields, with this proportion even\n\n\nlower in Sub-Saharan Africa. In Cˆote d’Ivoire, the context of this study, only 16% of women in\n\n\nhigher education study life sciences, mathematics or statistics (UNESCO, 2017). Similar imbalances\n\n\ncan be observed in the TVET system. Despite achieving gender parity in TVET enrollment, includ\n\ning women in high-paying, male-dominated sectors (MDSs) remains a challenge in Cˆote d’Ivoire.\n\n\nWomen’s enrolment is predominantly in services streams (89.9%), with limited representation in the\n\n\nsecondary sector (10.2%), and almost no presence in agricultural streams (0.1%). These decisions\n\n\nhave far-reaching consequences, as MDSs are often the most lucrative sectors. <sup>2</sup>\n\n\nIn many countries, women are concentrated in the least profitable sectors (World Bank (2022),\n\n\nGoldstein et al. (2019), Jonathan et al. (2015), Bardasi et al. (2011), Das and Kotikula (2019),\n\n\n(Alibhai et al., 2017)). Consequently, there is growing interest in supporting women to enter better\n\n1The role of TVET in secondary education is still limited in Cˆote d’Ivoire. Despite an increase in enrolments in\nrecent years, only 2 percent of the 15/24 years old participated in a TVET in 2018, according to UNESCO TVET\nCountry Profile and UNESCO Institute for Statistics (UIS).\n\n2Our analysis of two nationally representative datasets, the EHCVM 2018 (WAEMU Commission, 2018) and\nthe ENV 2015 (Institut National de la Statistique, 2015), reveals that MDSs offer higher average compensation\ncompared to other\n\nMention: \"UNESCO TVET\nCountry Profile\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"The country profile supplies a 2018 TVET participation statistic used to contextualize gender disparities in training.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001337:3:1", "occurrence_id": "857ffdf0b8a4ce3925c27622", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (Elu, 2018). Globally, less\n\n\nthan one-third of women in higher education are in STEM-related fields, with this proportion even\n\n\nlower in Sub-Saharan Africa. In Cˆote d’Ivoire, the context of this study, only 16% of women in\n\n\nhigher education study life sciences, mathematics or statistics (UNESCO, 2017). Similar imbalances\n\n\ncan be observed in the TVET system. Despite achieving gender parity in TVET enrollment, includ\n\ning women in high-paying, male-dominated sectors (MDSs) remains a challenge in Cˆote d’Ivoire.\n\n\nWomen’s enrolment is predominantly in services streams (89.9%), with limited representation in the\n\n\nsecondary sector (10.2%), and almost no presence in agricultural streams (0.1%). These decisions\n\n\nhave far-reaching consequences, as MDSs are often the most lucrative sectors. <sup>2</sup>\n\n\nIn many countries, women are concentrated in the least profitable sectors (World Bank (2022),\n\n\nGoldstein et al. (2019), Jonathan et al. (2015), Bardasi et al. (2011), Das and Kotikula (2019),\n\n\n(Alibhai et al., 2017)). Consequently, there is growing interest in supporting women to enter better\n\n1The role of TVET in secondary education is still limited in Cˆote d’Ivoire. Despite an increase in enrolments in\nrecent years, only 2 percent of the 15/24 years old participated in a TVET in 2018, according to UNESCO TVET\nCountry Profile and UNESCO Institute for Statistics (UIS).\n\n2Our analysis of two nationally representative datasets, the EHCVM 2018 (WAEMU Commission, 2018) and\nthe ENV 2015 (Institut National de la Statistique, 2015), reveals that MDSs offer higher average compensation\ncompared to other\n\nMention: \"EHCVM 2018\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EHCVM data are analyzed to compare compensation in male-dominated sectors with other sectors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001337:3:1", "occurrence_id": "3956f4db067316c09f93a6d4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (Elu, 2018). Globally, less\n\n\nthan one-third of women in higher education are in STEM-related fields, with this proportion even\n\n\nlower in Sub-Saharan Africa. In Cˆote d’Ivoire, the context of this study, only 16% of women in\n\n\nhigher education study life sciences, mathematics or statistics (UNESCO, 2017). Similar imbalances\n\n\ncan be observed in the TVET system. Despite achieving gender parity in TVET enrollment, includ\n\ning women in high-paying, male-dominated sectors (MDSs) remains a challenge in Cˆote d’Ivoire.\n\n\nWomen’s enrolment is predominantly in services streams (89.9%), with limited representation in the\n\n\nsecondary sector (10.2%), and almost no presence in agricultural streams (0.1%). These decisions\n\n\nhave far-reaching consequences, as MDSs are often the most lucrative sectors. <sup>2</sup>\n\n\nIn many countries, women are concentrated in the least profitable sectors (World Bank (2022),\n\n\nGoldstein et al. (2019), Jonathan et al. (2015), Bardasi et al. (2011), Das and Kotikula (2019),\n\n\n(Alibhai et al., 2017)). Consequently, there is growing interest in supporting women to enter better\n\n1The role of TVET in secondary education is still limited in Cˆote d’Ivoire. Despite an increase in enrolments in\nrecent years, only 2 percent of the 15/24 years old participated in a TVET in 2018, according to UNESCO TVET\nCountry Profile and UNESCO Institute for Statistics (UIS).\n\n2Our analysis of two nationally representative datasets, the EHCVM 2018 (WAEMU Commission, 2018) and\nthe ENV 2015 (Institut National de la Statistique, 2015), reveals that MDSs offer higher average compensation\ncompared to other\n\nMention: \"ENV 2015\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ENV data are analyzed with EHCVM to compare compensation in male-dominated sectors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001308:32:0", "occurrence_id": "36236dbf62b3aeed91e8dafa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: plants based on the actual construction of major dams across the entire country\n\neach decade. The second step calculates a cost factor that sorts potential\n\nlocations by their geographic suitability. The final step applies the suitability\n\npredictions to the areas where hydropower plants were actually built. Using\n\nthe predictions of the estimated construction site for each hydropower plant,\n\na hypothetical transmission network that depends solely on topological and\n\n\nhydrological characteristics is constructed and used as an instrumental variable.\n\nDetailed description of constructing the instrument can be found in Lipscomb,\n\n\nMobarak, and Barham (2013) and Szerman et al. (2022).\n\n\nWe construct the “natural path” instrumental variable for highways following\n\n\nAli et al. (2015) based on the least amount of time between the 25 existing state\ncapitals in the base period <sup>18</sup> and Bras´ılia. It incorporates local terrain using\n\n\nslope derived from a Digital Elevation Model (NASA’s Shuttle Radar Topography\n\nMission) from Verdin et al. (2007) and a historical land cover dataset (circa\n\n1900) from HYDE (Klein Goldewijk et al., 2011). We use the same walking\n\n\nvelocity from Tobler (1993):\n\n\n_W_ = 6 _∗_ _exp_ <sup>(</sup> <sup>_−_</sup> <sup>3</sup> <sup>_._</sup> <sup>5</sup> <sup>_|S_</sup> <sup>+0</sup> <sup>_._</sup> <sup>05</sup> <sup>_|_</sup> <sup>)</sup> (A4)\n\n\nwhere _W_ is the hiking velocity (kph) and\n\nMention: \"historical land cover dataset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Historical land cover from HYDE and terrain data inform the route-cost instrument for modeled highway paths.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001351:19:1", "occurrence_id": "2c2874671acebc0cdfd63d15", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  16,880 16,880 16,880\nR-squared 0.772 0.772 0.775 0.764 0.759\nTreatment Obs 9684 9684 9684 9684 9684\n<u>Control Obs</u> <u>7196</u> <u>7196</u> <u>7196</u> <u>7196</u> <u>7196</u>\n\nNotes: Robust standard errors in parentheses; <sup>***</sup> p<0.01, <sup>**</sup> p<0.05, <sup>*</sup> p<0.1; avg_radBuff05 ranges from 1 <sup>st</sup> to 99 <sup>th</sup> percentile\n(0.02 to 2.7 nanoWatts/sr/cm <sup>2</sup> [^2: 0.00639*** 0.00648*** 0.00646*** 0.00634*** 0.00629***\n(0.000899) (0.000926) (0.000887) (0.000863) (0.000860)\nConstant 0.122*** 0.175*** 0.234*** 0.228*** 0.213***\n(0.0129) (0.0129) (0.0128) (0.0126) (0.0128)] )\n\n### Nigeria case study: July 2022 floods\n\n**_2022 flood event_**\n\n\nAccording to EM-DAT & CRED / UCLouvain (2023), Nigeria suffered flooding during the period of July\n1, 2022 to October 31, 2022. The first row of Figure 9 presents the flooded pixel during each month\nand over the whole period, The second row shows flooded pixel during each month but not flooded\nduring the other months. During the first couple of months of the\n\nMention: \"EM-DAT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"EM-DAT event records establish the dates and occurrence of Nigeria's 2022 floods for the case study.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001357:17:1", "occurrence_id": "694a4489f4a20d7931753067", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  steps: (1) creating a\ngreen dictionary, (2) applying it through text analysis techniques to an occupational database containing\ntask statements, and (3) calculating the GTI index.\n\n\n\ntask statements, and (3) calculating the GTI index.\n\nStep 1: Development of the green dictionary\n\n\n\nThe first step was the development of a green dictionary, a database of terms that were used as the\nbasis for the text analysis. The terms in the dictionary are not tasks, but rather words, word roots, and\nexpressions directly linked to environmentally friendly concepts. Our assumption was that a task\nstatement containing any of these key terms would be related to environmentally friendly tasks. The\nselection of terms was the result of a careful desk review of diverse sources. Naturally, since terms are\nshort and general, most of them are present in multiple sources. Thus, the creation of the dictionary\nshould be understood as a systematic iterative process of adding and confirming the appropriateness of\nterms as they consistently came up in the consulted sources. As we continued reviewing sources, fewer\nnew terms were included for consideration in the dictionary.\n\n\nFor the creation of the dictionary, the starting point was to examine the terms commonly mentioned in\nthe diverse material from the methodological approaches described in section 2, including the O*NET\ngreen project description, and from the labor environmental economics literature. First, the dictionary\nincluded terms that appeared in the BLS GTP survey questionnaire, most common terms from machine\n\n16\n\nMention: \"occupational database containing\ntask statements\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Text analysis applies the green dictionary to occupational task statements to construct the Green Task Index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001357:17:1", "occurrence_id": "bfcede7abd6412bb25caaf98", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  steps: (1) creating a\ngreen dictionary, (2) applying it through text analysis techniques to an occupational database containing\ntask statements, and (3) calculating the GTI index.\n\n\n\ntask statements, and (3) calculating the GTI index.\n\nStep 1: Development of the green dictionary\n\n\n\nThe first step was the development of a green dictionary, a database of terms that were used as the\nbasis for the text analysis. The terms in the dictionary are not tasks, but rather words, word roots, and\nexpressions directly linked to environmentally friendly concepts. Our assumption was that a task\nstatement containing any of these key terms would be related to environmentally friendly tasks. The\nselection of terms was the result of a careful desk review of diverse sources. Naturally, since terms are\nshort and general, most of them are present in multiple sources. Thus, the creation of the dictionary\nshould be understood as a systematic iterative process of adding and confirming the appropriateness of\nterms as they consistently came up in the consulted sources. As we continued reviewing sources, fewer\nnew terms were included for consideration in the dictionary.\n\n\nFor the creation of the dictionary, the starting point was to examine the terms commonly mentioned in\nthe diverse material from the methodological approaches described in section 2, including the O*NET\ngreen project description, and from the labor environmental economics literature. First, the dictionary\nincluded terms that appeared in the BLS GTP survey questionnaire, most common terms from machine\n\n16\n\nMention: \"BLS GTP survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The BLS GTP survey questionnaire supplies terms used to build the green-task dictionary.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001360:5:2", "occurrence_id": "b801cbcd636a5a026a94f2fa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2019<br>2020<br>Average wage rate (in thousand USD), HICs<br>Export activities<br>Rest of the economy||\n|<br>10<br>15<br>20<br>25<br>30<br>35<br>40<br>1995<br>1996<br>1997<br>1998<br>1999<br>2000<br>2001<br>2002<br>2003<br>2004<br>2005<br>2006<br>2007<br>2008<br>2009<br>2010<br>2011<br>2012<br>2013<br>2014<br>2015<br>2016<br>2017<br>2018<br>2019<br>2020<br>Labor productivity (in thousand USD), LMICs<br>Export activities<br>Rest of the economy||5<br>6<br>7<br>8<br>9<br>10<br>11<br>1995<br>1996<br>1997<br>1998<br>1999<br>2000<br>2001<br>2002<br>2003<br>2004<br>2005<br>2006<br>2007<br>2008<br>2009<br>2010<br>2011<br>2012<br>2013<br>2014<br>2015<br>2016<br>2017<br>2018<br>2019<br>2020<br>Average wage rate (in thousand USD), LMICs<br>Export activities<br>Rest of the economy||\n\n\n\nSource: WB staff computations. Data: OECD TiE (employment, labor compensation), OECD TiVA (value added) and WDI (GDP def\n\nMention: \"OECD TiE\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"OECD TiE employment and labor-compensation data underpin wage comparisons between export activities and the rest of the economy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001360:5:2", "occurrence_id": "229170b1ca6602c4bf00bea3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2019<br>2020<br>Average wage rate (in thousand USD), HICs<br>Export activities<br>Rest of the economy||\n|<br>10<br>15<br>20<br>25<br>30<br>35<br>40<br>1995<br>1996<br>1997<br>1998<br>1999<br>2000<br>2001<br>2002<br>2003<br>2004<br>2005<br>2006<br>2007<br>2008<br>2009<br>2010<br>2011<br>2012<br>2013<br>2014<br>2015<br>2016<br>2017<br>2018<br>2019<br>2020<br>Labor productivity (in thousand USD), LMICs<br>Export activities<br>Rest of the economy||5<br>6<br>7<br>8<br>9<br>10<br>11<br>1995<br>1996<br>1997<br>1998<br>1999<br>2000<br>2001<br>2002<br>2003<br>2004<br>2005<br>2006<br>2007<br>2008<br>2009<br>2010<br>2011<br>2012<br>2013<br>2014<br>2015<br>2016<br>2017<br>2018<br>2019<br>2020<br>Average wage rate (in thousand USD), LMICs<br>Export activities<br>Rest of the economy||\n\n\n\nSource: WB staff computations. Data: OECD TiE (employment, labor compensation), OECD TiVA (value added) and WDI (GDP def\n\nMention: \"OECD TiVA\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"OECD TiVA value-added data support productivity comparisons between export activities and the rest of the economy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001360:5:2", "occurrence_id": "221b8cd1e4af15887aebe416", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2019<br>2020<br>Average wage rate (in thousand USD), HICs<br>Export activities<br>Rest of the economy||\n|<br>10<br>15<br>20<br>25<br>30<br>35<br>40<br>1995<br>1996<br>1997<br>1998<br>1999<br>2000<br>2001<br>2002<br>2003<br>2004<br>2005<br>2006<br>2007<br>2008<br>2009<br>2010<br>2011<br>2012<br>2013<br>2014<br>2015<br>2016<br>2017<br>2018<br>2019<br>2020<br>Labor productivity (in thousand USD), LMICs<br>Export activities<br>Rest of the economy||5<br>6<br>7<br>8<br>9<br>10<br>11<br>1995<br>1996<br>1997<br>1998<br>1999<br>2000<br>2001<br>2002<br>2003<br>2004<br>2005<br>2006<br>2007<br>2008<br>2009<br>2010<br>2011<br>2012<br>2013<br>2014<br>2015<br>2016<br>2017<br>2018<br>2019<br>2020<br>Average wage rate (in thousand USD), LMICs<br>Export activities<br>Rest of the economy||\n\n\n\nSource: WB staff computations. Data: OECD TiE (employment, labor compensation), OECD TiVA (value added) and WDI (GDP def\n\nMention: \"WDI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"WDI GDP data complement the wage, labor-compensation, and value-added series in the figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001361:75:0", "occurrence_id": "c3f5cff9ee63a2426ebffe2d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Table D.3: Characterizing Foreigners in Venezuela in 1990 (cont’d)\n\n\n**<u>Percent</u>** **<u>of</u>** **<u>foreigners</u>** **<u>Percent</u>** **<u>nationals</u>**\n\n\n**Sex**\nMale 53.26% 51.78%\nFemale 46.74% 48.22%\n\n\n**Employment** **status**\n\n\nEmployed 55.67% 27.48%\nUnemployed 3.25% 4.18%\nInactive 35.23% 35.38%\nMissing 5.85% 32.96%\n\n\n**Literacy**\nLiterate 87.14% 71.28%\nIlliterate 10.76% 18.13%\n<u>Missing</u> <u>2.10%</u> <u>10.59%</u>\n\n\nTable D.4: Correlation between Imputed Outflows and Alternative Migration Sources\n\n\n**<u>Panel</u>** **<u>A:</u>** **<u>Correlation</u>** **<u>by</u>** **<u>sources</u>** **<u>at</u>** **<u>municipality</u>** **<u>level</u>** **<u>Imputed</u>** **<u>Outflows</u>**\n\n\nMigration records from PEP 0.329***\n\n\n**<u>Panel</u>** **<u>B:</u>**\n\nMention: \"Migration records from PEP 0.329\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"PEP migration records provide an alternative source used to compare with imputed outflows at municipality level.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001372:28:1", "occurrence_id": "ad50ea09b35ade969cb2d69f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: fall|Climate Hazards Group InfraRed<br>Precipitation with Station data (CHIRPS)<br>(https://www.chc.ucsb.edu/data/chirps) <br>|5.5 km<br>|2018<br>|\n|Elevation|NASA’s SRTM Digital Elevation (3 arc<br>seconds spatial resolution)<br>(https://www.usgs.gov/centers/eros/scienc<br>e/usgs-eros-archive-digital-elevation-<br>shuttle-radar-topography-mission-srtm-1)<br>|30 m<br>|2018<br>|\n|Cellphone tower<br>count|The OpenCell ID project<br>(https://www.opencellid.org/#zoom=16&lat<br>=37.77889&lon=-122.41942)<br>|1 km<br>|April 2022<br>|\n|Years since change<br>to impervious<br>surface<br>|Tsinghua University via Google Earth<br>Engine<br>(https://developers.google.com/earth-<br>engine/datasets/catalog/Tsinghua_FROM-<br>GLC_GAIA_v10) <br>|30 m<br>|2018<br>|\n|Building count|WorldPop|100 m|2018|\n\n\n27\n\nMention: \"SRTM Digital Elevation\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"SRTM elevation data provide a 30-meter spatial input used in infrastructure-suitability and route-cost modeling.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001372:28:1", "occurrence_id": "a54330768c261ebc1c558d88", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: fall|Climate Hazards Group InfraRed<br>Precipitation with Station data (CHIRPS)<br>(https://www.chc.ucsb.edu/data/chirps) <br>|5.5 km<br>|2018<br>|\n|Elevation|NASA’s SRTM Digital Elevation (3 arc<br>seconds spatial resolution)<br>(https://www.usgs.gov/centers/eros/scienc<br>e/usgs-eros-archive-digital-elevation-<br>shuttle-radar-topography-mission-srtm-1)<br>|30 m<br>|2018<br>|\n|Cellphone tower<br>count|The OpenCell ID project<br>(https://www.opencellid.org/#zoom=16&lat<br>=37.77889&lon=-122.41942)<br>|1 km<br>|April 2022<br>|\n|Years since change<br>to impervious<br>surface<br>|Tsinghua University via Google Earth<br>Engine<br>(https://developers.google.com/earth-<br>engine/datasets/catalog/Tsinghua_FROM-<br>GLC_GAIA_v10) <br>|30 m<br>|2018<br>|\n|Building count|WorldPop|100 m|2018|\n\n\n27\n\nMention: \"OpenCell ID project\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"OpenCell ID tower locations are summarized as cellphone-tower counts at one-kilometer resolution.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001393:1:0", "occurrence_id": "c8ee044fea9463def7bd3209", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Policy Research Working Paper 10965\n\n#### **Abstract**\n\nThis paper investigates the determinants of mining projects,\n\nwith a focus on green minerals. The research question is the\neffect of political risk on investment decisions, the size of\nprojects, the volume of ore mined, and the ensuing resource\nrents captured by the host country. The paper shows the\nchallenges of measuring and capturing resource rents, using\na mathematical model of resource rent maximization for\nthe host country under the constraint of a positive after-tax\ncash flow for investors. The analysis finds that the optimal\napproach for taxing extraction is a progressive profit tax on\nmining revenues that generates revenues for the country\nwhile minimally deterring investment. Alternatively, taxing\ncash flow, which can be non-distortionary, can be implemented. Using the S&P Capital IQ database, the analysis\nfinds that the low-quality of governance, institutions, infra\nstructure, skills, and services dampens the exploration and\n\n\n\nexploitation of copper, a key mineral for green energy. The\nopportunity cost in terms of unexplored or underexploited\ndeposits translates into suboptimal global copper production and forgone revenues for the poorest host countries.\nTo unlock exploration, the paper proposes measures to\n\nmitigate political risk, including investing in geological\nsurveys and institutions and designing stable tax systems.\nFor underexploited projects, it proposes that countries not\nonly invest in infrastructure, skills, and services, but also\nimprove governance and institutions. This would lower the\nmetal grade at which investors would be willing to commit,\nultimately producing more metal from identified mineral\ndeposits. Interventions from international financial institutions can help to alleviate all country risks, including\npolitical risks, that hinder credible intertemporal commitments between investors and countries.\n\n\n\nThis paper is a product of the Macroeconomics, Trade and Investment Global Practice. It is part of a larger effort by the\nWorld Bank to provide open access to its research and make a contribution to development policy discussions around the\n\nworld. Policy Research Working Papers are also posted on the\n\nMention: \"S&P Capital IQ database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"S&P Capital IQ project data are analyzed to assess how political risk and country conditions affect mining investment and production.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "b984684313575cffc39d104a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"2021 Survey on Income and Living Conditions\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SILC household data for income year 2020 support fiscal-incidence analysis of tax and benefit effects across households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "7dbe461293ca8c72e8653999", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"2021 Household Budget Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The 2021 household budget survey approximates 2020 spending for the fiscal-incidence analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "b19de02c05343ab448581e63", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"EUROMOD Bulgaria country report\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EUROMOD Bulgaria report data supply program-beneficiary and taxpayer counts for the social-protection analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "ada1931efa53578d32a43df9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"European\nSystem of Integrated Social Protection Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"ESSPROS supplies administrative social-protection statistics used in the fiscal-incidence analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "a4cb1451a7cf86e9c89d0c83", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"Ministry of Finance\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"The Ministry supplies Bulgarian tax-system information on structure and revenue collection.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "dd9d6fe692d60c959e59eae3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"Eurostat\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Eurostat contributes statistical fiscal data used in the tax-benefit analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "fb424661635e0b6890efaaee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"GFS Main Aggregates\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"IMF GFS Main Aggregates provide fiscal data used in the microsimulation analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "236083ba4584e9613461239b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"GFS Revenue datasets\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"IMF GFS Revenue datasets provide fiscal inputs for the Bulgarian tax-benefit evaluation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001419:15:0", "occurrence_id": "06c7fbb7025a780a50171875", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To carry out this comprehensive fiscal incidence analysis, the following data was used:\n\n\n  - _Household-level data_ : This includes the 2021 Survey on Income and Living Conditions (SILC) for\nthe income year 2020 and the 2021 Household Budget Survey (HBS) <sup>14</sup> [^14: The 2021 Survey on Income and Living Conditions (SILC) used 2020 as the reference year. However, the 2020 Household Budget\nSurvey was not available from the National Statistics Office. Therefore, the 2021 Household Budget Survey was used to\napproximate spending in 2020.] . These datasets provide\ninformation at the individual and household level, allowing for a granular examination of the\ntax/benefit system's impact on different households.\n\n  - _Administrative data_ : Information on the number of beneficiaries per program and the number of\ntaxpayers is essential. This data helps in understanding the specifics of the social protection\nsystem. The EUROMOD Bulgaria country report for the years 2018–2021 and the European\nSystem of Integrated Social Protection Statistics (ESSPROS) serve as sources for this data.\n\n  - _Data on the tax system_ : Data regarding the tax system is sourced from the Ministry of Finance\n(MOF) of Bulgaria and the EUROMOD. This data provides insights into the structure and\ncharacteristics of the tax system, including revenue collection mechanisms.\n\n  - _Fiscal data:_ Data from various sources such as the International Monetary Fund (IMF),\nOrganization for Economic Co-operation and Development (OECD), and Eurostat is utilized. The\nIMF's GFS Main Aggregates, GFS Revenue datasets, and the OECD's Tax Revenue Statistics\ncontribute to the fiscal data. Eurostat, a statistical office of the European Union, also provides\nrelevant data for analysis.\n\n**A comprehensive evaluation of Bulgaria's tax/benefit system can be conducted by combining the**\n**datasets above and employing micro-simulation analysis techniques.** This analysis enables a comparison\nof the system's performance before and during the COVID-19 pandemic, specifically for the years 2018\nand 2020.\n\nMention: \"Tax Revenue Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"OECD Tax Revenue Statistics contribute fiscal data for the combined tax-benefit analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001469:24:0", "occurrence_id": "f0f5f60f0ead03c280c2c198", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |Figure 39. Human Capital Index, 2020|Figure 40. Proportion of workers offered formal<br>training (Average of latest Enterprise Survey<br>respondents)|\n|---|---|\n|<br> <br>0.0<br>0.1<br>0.2<br>0.3<br>0.4<br>0.5<br>0.6<br>0.7<br>Structural peers<br>Aspirational peers<br>Zambia|<br> <br>0%<br>5%<br>10%<br>15%<br>20%<br>25%<br>Cross-country averages<br>Structural peers<br>Aspirational peers<br>Zambia|\n|Note: The index calculates the contributions of health and<br>education to worker productivity. The final index score ranges<br>from zero to one and measures the productivity as a future<br>worker of child born today relative to the benchmark of full<br>health and complete education.<br>Source: World Bank WDI<br>|Source: World Bank staff calculations based on Enterprise<br>Survey data and the Investment Climate Assessment 2.0 toolkit|\n\n\n###### 6.3. Access to electricity\n\nSubpar access to electricity also imposes constraints on firm-level labor productivity. In Zambia, one-fifth\nof Enterprise Survey respondents report that electricity access is their top business environment\nconstraint. Less than half of the population has access to electricity. Even where there is access, the quality\nof electricity supply is low. Over 80 percent of respondent firms experience outages—lasting 10 hours on\naverage—well above structural and regional peers (Figure 41). The average respondent suffers losses of\nnearly 20 percent of revenue due to\n\nMention: \"Human Capital Index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The index combines health and education contributions to child productivity and is compared across peer groups and Zambia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001469:24:0", "occurrence_id": "bad7f5ebe48b7a66763f4241", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |Figure 39. Human Capital Index, 2020|Figure 40. Proportion of workers offered formal<br>training (Average of latest Enterprise Survey<br>respondents)|\n|---|---|\n|<br> <br>0.0<br>0.1<br>0.2<br>0.3<br>0.4<br>0.5<br>0.6<br>0.7<br>Structural peers<br>Aspirational peers<br>Zambia|<br> <br>0%<br>5%<br>10%<br>15%<br>20%<br>25%<br>Cross-country averages<br>Structural peers<br>Aspirational peers<br>Zambia|\n|Note: The index calculates the contributions of health and<br>education to worker productivity. The final index score ranges<br>from zero to one and measures the productivity as a future<br>worker of child born today relative to the benchmark of full<br>health and complete education.<br>Source: World Bank WDI<br>|Source: World Bank staff calculations based on Enterprise<br>Survey data and the Investment Climate Assessment 2.0 toolkit|\n\n\n###### 6.3. Access to electricity\n\nSubpar access to electricity also imposes constraints on firm-level labor productivity. In Zambia, one-fifth\nof Enterprise Survey respondents report that electricity access is their top business environment\nconstraint. Less than half of the population has access to electricity. Even where there is access, the quality\nof electricity supply is low. Over 80 percent of respondent firms experience outages—lasting 10 hours on\naverage—well above structural and regional peers (Figure 41). The average respondent suffers losses of\nnearly 20 percent of revenue due to\n\nMention: \"Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Enterprise Survey data support the figure's average share of workers offered formal training.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001577:10:0", "occurrence_id": "2ce3081a3e96ccaf60d42aa2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: This data is gathered through surveys conducted with individuals from 27 states ( ’departments’),\n\n\ncovering aspects such as education, employment, income, and housing characteristics, among oth\ners. <sup>10</sup> [^10: See the list of states in Appendix A.] We primarily utilize this dataset to calculate the baseline poverty rate for each state, defined\n\n\nas the proportion of the population earning an income below half of the minimum wage.\n\n\n**3.2** **Convergence test**\n\n\nUsing the RAIS dataset, we compute labor productivity for each sector and subsector in each state\n\n\nas follows:\n\n_<u>Wage bill</u>_ <u>(</u> _<u>i, j, t</u>_ <u>)</u>\n_yi,j,_ _t_ =\n_Employment_ ( _i, j, t_ )\n\n\nwhere _i_ represents a state, _j_ a sector or an industry, and _t_ a time period. We use the following four\n\n\nsectors: agriculture, extractives, manufacturing, and services. Each industry in the CNAE classifi\ncations (2-digit) is grouped into one of these sectors. <sup>11</sup> [^11: See the list of sectors and industries within the CNAE classification in Appendix A.] We define labor productivity using the wage\n\n\nbill because data value-added are available only at the sector level. However, this will not be an issue\n\n\ngiven that the wage bill is a good proxy for labor productivity. Then, we test for the _β_ -convergence\n\n\nacross states using the estimating equation:\n\n\n\n\n= _α_ + _β log_ ( _yi,j,t−τ_ ) + _εi,j,t_ (3)\n\n\n\n_log_\n\n\n\n\n- _<u>yi,j,t</u>_\n_yi,j,t−τ_\n\n\n\nwhere _τ_ _\n\nMention: \"RAIS dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"RAIS administrative employment and wage-bill records are used to calculate labor productivity by state, sector, and time.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001536:21:0", "occurrence_id": "39ee3f25870e515afb44272f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>national AROPE rate</u> <u>32.2</u> <u>19.9</u> <u>15.9</u> <u>34.4</u>\n\n\nNote: Percentage of individuals (using survey weights). AROPE rates of 2022 are not anchored to 2019, as in Figure 1\nand Figure 2. Children are defined as those younger than 18 and elderly, those 65+. Social aid is defined as those\nhouseholds that report incomes from social assistance captured in the SILC survey by social exclusion not elsewhere\nclassified. This captures households receiving the main poverty-targeted programs (mean-tested) as well as other\nmean-tested programs. Households with social aid cannot be identified as a vulnerable group in the Romania EU-SILC.\nPensioners are defined as those receiving old-age benefits. Statistics presented are unconditional AROPE means. Since\nhouseholds with disabled members cannot be identified in the EU-SILC surveys, we use as a proxy those receiving\ndisability benefits.\n\n\nSource: Own estimates based on 2022 EU-SILC. We report the survey year and not the income year. AROPE definition\nbased on EU2030 target.\n\n\n**Multidimensional poverty is also higher among individuals who are deprived of other life**\n**domains, such as education, health, and housing, particularly in Bulgaria and Romania.** The\nAROPE rate for individuals living with household heads who have only achieved primary\neducation <sup>45</sup> [^45: The proportion of individuals living in households where the household head has achieved at most a primary level\nof education are as follows: Bulgaria: 22.9%, Croatia: 19.4%, Poland: 8.0%, Romania: 26.6%.] doubles the national rate in all countries (Table 5). This is also the case for individuals\nliving in families with unmet medical needs and in overcrowded houses <sup>46</sup> in Bulgaria and\nRomania (i.e.\n\nMention: \"2022 EU-SILC\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EU-SILC survey-weighted estimates supply AROPE poverty and social-exclusion rates and subgroup comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001608:24:0", "occurrence_id": "3177bc7fdc274edf774b47e7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: suppliers that have headquarters registered in a tax haven. Since 2011 this indicator has\nincreased and had consistently high values, at least in international comparative perspective.\nMany corruption issues can prevail due to this issue as being registered in a tax haven increases\nthe difficulty of finding the beneficial owner of the company. Additionally, contract pricing\ndistribution, as determined by Benford's law, appears to have problems. Even though this\nindicator has slightly decreased since 2011 it has remained consistently high over the analyzed\nperiod.\n\nCompared to other EU countries’ public procurement contracts published on TED, North\nMacedonia is among the highest risk countries in Europe. Its single bidding rate of 0.32 on\naverage is among the highest, close to the Slovak Republic, Hungary and Bulgaria (Figure 14).\nSlovenia and Croatia’s rates are slightly better than North Macedonia’s, ranking it slightly below\nthe 0.3 threshold. The next section will further explore the issue of contract pricing and how much\ncan be saved in the case of correct pricing.\n\n\n**Figure 14: Average single bidding rate in North Macedonia and the EU (TED data)**\n\n\n23\n\nMention: \"TED data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"TED procurement records provide contract data used to calculate and compare North Macedonia's average single-bidding rate with EU countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001670:61:1", "occurrence_id": "5b71d70c45659e9b626b966a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nSample Size 678 678 723 726 726 727\nP-value: all treatments zero 0.029 0.294 0.029 0.653 0.601 0.605\n<u>P-value: all treatments equal</u> <u>0.049</u> <u>0.215</u> <u>0.049</u> <u>0.876</u> <u>0.880</u> <u>0.785</u>\nNotes:\nAll regressions control for stratification batch fixed effects. Robust standard errors in parentheses. *, **, and *** denote\nsignificance at the 10, 5, and 1 percent levels respectively.\nFirst follow-up survey conducted 2-9 months post-intervention; second follow-up survey 14-21 months post-interventions.\nBase specification uses data from current survey round only, and includes no other controls.\nPDS Lasso uses post double-selection lasso with baseline variables as inputs. No covariates were selected in either wave.\nCross-wave imputation assumes that firms that have missing survival status in round 1, but are observed open in round 2,\nwere also open in round 1; and that firms which are closed in round 1, and that have missing survival status in round 2,\nremain closed.\n\n\n\n**Appendix 4: Measurement of Key Outcomes**\n\nThe survey instruments and data will be made available in the World Bank’s open data library:\n\nNominal Naira were converted into real (January 2018) Naira using the Consumer CPI of the\nCentral Bank of Nigeria.\n\nKey outcomes are measured as follows:\n\n**Table 4:**\n\n**Index of ten** **Finance and Accounting practices**, averaging the practices that a firm carries out\n(coded: ‘1’ if the practice was implemented in the last three months; and ‘0’ if not).\n\nMention: \"Consumer CPI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Consumer CPI converts nominal naira amounts into real January 2018 values for financial-practice measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001677:58:0", "occurrence_id": "6fbdd092c070c14c407ce340", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the fiscal cost of expanding a policy (inclusive of fiscal externalities resulting from the expansion), (b)\nthe beneficiaries’ willingness to pay for the policy expansion, and (c) the relative weight society places\non giving an extra dollar to the set of beneficiaries. Given our focus is comparing policies targeted to\nadolescent girls in poor settings, it is unlikely that (c) will vary greatly across policies (within a given\ncountry). Thus, we will focus on why we cannot estimate (a) and (b). First, few papers considered in\nthis review report on the cost of implementing their policy. Thus, we cannot estimate (a). We hope that\nreporting on cost will improve given this recent unifying framework of Hendren and Sprung-Keyser\n(2020) and the development of program costing tools, such as the World Bank’s <u>[Partnership for](https://www.peiglobal.org/pei-data-portal)</u>\n<u>[Economic Inclusion Costing Dashboard. Second, in order to ascertain the willingness to pay for](https://www.peiglobal.org/pei-data-portal)</u>\npolicies, we typically need to know how a policy affects lifetime well-being. <sup>34</sup> [^34: For policies that simply deliver cash or provide (inframarginal) market goods in-kind, calculating the willingness\nto pay is simply equal to the monetary size of the transfer. However, calculating the willingness to pay for other types\nof policies is more difficult; see Hendren and Sprung-Keyser (2020) for examples on how to do this.] To estimate this, we\nneed to understand the long-term impacts of policies (and be able to translate these long-term impacts\ninto monetary values). However, most papers estimate the impact of policies on short-term outcomes.\nThis is entirely reasonable – we need to know whether a policy is working soon after implementation\n\n- not 60 years down the road. Thus, we need\n\nMention: \"Economic Inclusion Costing Dashboard\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"The costing dashboard is cited as a resource for estimating the fiscal costs of policies targeted to adolescent girls in poor settings.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001612:18:0", "occurrence_id": "63474d6300f3c1beb320e87b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 1. The impact of DSM on farmers’ decision to purchase maize and wheat seeds,**\n**event study aggregation**\n\n**(a)** **Maize**\n\n\n**(b)** **Wheat**\n\n\n_Source_ : Authors’ estimation based on the ACC 2012, 2016, and 2019 survey data.\n\n\nTable 5 presents the results of the impact of DSM on the intensive margin of seed purchases,\n\nspecifically focusing on the quantity of maize and wheat seed that farmers purchased per hectare.\n\nSimilar to findings on the extensive margin, findings on the intensive margin reveal comparable\n\npatterns, albeit with varying magnitudes. Cohort-level aggregation indicates that DSM resulted in\n\na 45 percent increase in the quantity of maize seed purchased per hectare. This effect is particularly\n\npronounced in the 2014, 2017, and 2018 cohorts, with DSM increasing maize seed purchases by\n\napproximately 60 percent, 68 percent, and 84 percent, respectively. When aggregating the ATT\n\nestimates across survey years, the effect of DSM is positive and statistically significant in the 2019\n\n\n17\n\nMention: \"ACC 2012, 2016, and 2019 survey data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ACC survey waves underpin event-study estimates of DSM's effect on maize and wheat seed-purchase quantities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001672:5:0", "occurrence_id": "ebf603391418750067973f98", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: paper, this review mainly focuses on LSMS <sup>2</sup> [^2: LSMS program website: https://www.worldbank.org/en/programs/lsms. The data of 129 LSMS studies can be\ndownloaded by external users through https://microdata.worldbank.org/index.php/catalog/lsms.] surveys, a household survey program by the World\nBank’s Development Data Group that provides technical assistance to national statistical offices\n(NSOs) in the design and implementation of multi-topic household surveys It also mentions other\nsources such as Household Budget Surveys, Demographic and Health Surveys, and\nAfrobarometer surveys to some extent.\n\n\n\n\n\n\n\n\n|Table 1. Variety of instruments for household-level data collection Instrument|Sponsor|\n|---|---|\n|**Instrument**<br>|**Sponsor**<br>|\n|<br>Censuses<br>|<br>UNFPA<br>|\n|<br>Income Expenditure Survey (IES) / Household Budget Survey (HBS)<br>|<br>Central Banks, IMF, NSOs<br>|\n|<br>Labor Force Survey (LFS)<br>|<br>ILO<br>|\n|<br>Demographic and Health Survey (DHS)<br>|<br>USAID<br>|\n|<br>Multiple Indicator Cluster Survey (MICS)<br>|<br>UNICEF<br>|\n|<br>Core Welfare Indicator Questionnaires (CWIQ)<br>|<br>UNDP, Department of<br>International Development,<br>World Bank Africa Region<br>|\n|Welfare Monitoring Survey (WMS)<br>|<br>Stat Norway<br>|\n|<br>Statistics on Income and Living Conditions (SILC)<br>|<br>Eurostat<br>|\n|<br>Comprehensive Food Security and\n\nMention: \"Household Budget Surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Household Budget Surveys are reviewed as one of several household-level instruments alongside the paper's primary focus on LSMS.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001672:5:0", "occurrence_id": "3e7a98c4febe6d81a954b05c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: paper, this review mainly focuses on LSMS <sup>2</sup> [^2: LSMS program website: https://www.worldbank.org/en/programs/lsms. The data of 129 LSMS studies can be\ndownloaded by external users through https://microdata.worldbank.org/index.php/catalog/lsms.] surveys, a household survey program by the World\nBank’s Development Data Group that provides technical assistance to national statistical offices\n(NSOs) in the design and implementation of multi-topic household surveys It also mentions other\nsources such as Household Budget Surveys, Demographic and Health Surveys, and\nAfrobarometer surveys to some extent.\n\n\n\n\n\n\n\n\n|Table 1. Variety of instruments for household-level data collection Instrument|Sponsor|\n|---|---|\n|**Instrument**<br>|**Sponsor**<br>|\n|<br>Censuses<br>|<br>UNFPA<br>|\n|<br>Income Expenditure Survey (IES) / Household Budget Survey (HBS)<br>|<br>Central Banks, IMF, NSOs<br>|\n|<br>Labor Force Survey (LFS)<br>|<br>ILO<br>|\n|<br>Demographic and Health Survey (DHS)<br>|<br>USAID<br>|\n|<br>Multiple Indicator Cluster Survey (MICS)<br>|<br>UNICEF<br>|\n|<br>Core Welfare Indicator Questionnaires (CWIQ)<br>|<br>UNDP, Department of<br>International Development,<br>World Bank Africa Region<br>|\n|Welfare Monitoring Survey (WMS)<br>|<br>Stat Norway<br>|\n|<br>Statistics on Income and Living Conditions (SILC)<br>|<br>Eurostat<br>|\n|<br>Comprehensive Food Security and\n\nMention: \"Demographic and Health Surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Demographic and Health Surveys are mentioned as another household-level data collection source in the review.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001672:5:0", "occurrence_id": "3f164e919b8d0a9081be847e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: paper, this review mainly focuses on LSMS <sup>2</sup> [^2: LSMS program website: https://www.worldbank.org/en/programs/lsms. The data of 129 LSMS studies can be\ndownloaded by external users through https://microdata.worldbank.org/index.php/catalog/lsms.] surveys, a household survey program by the World\nBank’s Development Data Group that provides technical assistance to national statistical offices\n(NSOs) in the design and implementation of multi-topic household surveys It also mentions other\nsources such as Household Budget Surveys, Demographic and Health Surveys, and\nAfrobarometer surveys to some extent.\n\n\n\n\n\n\n\n\n|Table 1. Variety of instruments for household-level data collection Instrument|Sponsor|\n|---|---|\n|**Instrument**<br>|**Sponsor**<br>|\n|<br>Censuses<br>|<br>UNFPA<br>|\n|<br>Income Expenditure Survey (IES) / Household Budget Survey (HBS)<br>|<br>Central Banks, IMF, NSOs<br>|\n|<br>Labor Force Survey (LFS)<br>|<br>ILO<br>|\n|<br>Demographic and Health Survey (DHS)<br>|<br>USAID<br>|\n|<br>Multiple Indicator Cluster Survey (MICS)<br>|<br>UNICEF<br>|\n|<br>Core Welfare Indicator Questionnaires (CWIQ)<br>|<br>UNDP, Department of<br>International Development,<br>World Bank Africa Region<br>|\n|Welfare Monitoring Survey (WMS)<br>|<br>Stat Norway<br>|\n|<br>Statistics on Income and Living Conditions (SILC)<br>|<br>Eurostat<br>|\n|<br>Comprehensive Food Security and\n\nMention: \"Afrobarometer surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Afrobarometer surveys are mentioned as additional household survey sources, not as the review's central focus.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001750:11:1", "occurrence_id": "5be821a3c5089bb41a8cf9a4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (co)-owned by males. The IHPS\n\naverage parcel-level incidence of male rights to bequest and sell are 78 percent and 70 percent, respectively.\n\nThe comparable estimates based on the IHS4 stand at 74 percent and 64 percent, respectively.\n\n\n**3.2 Empirical approach**\n\n\nWe use the parcel-level incidence of organic fertilizer application and cultivation of cash crops (tobacco,\n\ncotton, sunflower, sugar cane, and pepper) in the current season as proxies for land investment. The first of\n\nthese, organic manure application, is widely used in the literature to quantify land-attached investment\n\n(Fenske 2011), possibly together with fallowing to restore soil fertility (Goldstein and Udry 2008). The\n\nreason is that it affects productivity well beyond the current production period (Jacoby _et al._ 2002) but\n\ncannot be directly observed and is thus non-contractible (Jacoby and Mansuri 2008).\n\n\nAlthough manure use is our preferred indicator, its short-term productivity impact in a setting dominated\n\nby subsistence cultivation of maize may be limited. We thus use adoption of cash crops as a second indicator\n\nthat has been reported as key to moving out of subsistence and increasing household income (Bhaumik _et_\n\n_al._ 2016). Cash crops are also a key contributor to the gender differences in agricultural productivity (Kilic\n\n_et al_ ., 2015). Perennials and cash crops that provide benefits in the long term require considerable upfront\n\ninvestment that is unlikely to be undertaken without secure land rights (Place and Otsuka 2001).\n\n\n12 The share of parcels that can be bequeathed is, with 82%, highest in communities in which the dominant inheritance regime is patrilineal, followed\nby matrilineal (71%) and mixed (69%) inheritance regimes.\n\n\n10\n\nMention: \"IHPS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IHPS observations describe parcel-level male rights to bequest and sell, supporting land-rights and investment analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001750:11:1", "occurrence_id": "b444ee93608c970931b32a89", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (co)-owned by males. The IHPS\n\naverage parcel-level incidence of male rights to bequest and sell are 78 percent and 70 percent, respectively.\n\nThe comparable estimates based on the IHS4 stand at 74 percent and 64 percent, respectively.\n\n\n**3.2 Empirical approach**\n\n\nWe use the parcel-level incidence of organic fertilizer application and cultivation of cash crops (tobacco,\n\ncotton, sunflower, sugar cane, and pepper) in the current season as proxies for land investment. The first of\n\nthese, organic manure application, is widely used in the literature to quantify land-attached investment\n\n(Fenske 2011), possibly together with fallowing to restore soil fertility (Goldstein and Udry 2008). The\n\nreason is that it affects productivity well beyond the current production period (Jacoby _et al._ 2002) but\n\ncannot be directly observed and is thus non-contractible (Jacoby and Mansuri 2008).\n\n\nAlthough manure use is our preferred indicator, its short-term productivity impact in a setting dominated\n\nby subsistence cultivation of maize may be limited. We thus use adoption of cash crops as a second indicator\n\nthat has been reported as key to moving out of subsistence and increasing household income (Bhaumik _et_\n\n_al._ 2016). Cash crops are also a key contributor to the gender differences in agricultural productivity (Kilic\n\n_et al_ ., 2015). Perennials and cash crops that provide benefits in the long term require considerable upfront\n\ninvestment that is unlikely to be undertaken without secure land rights (Place and Otsuka 2001).\n\n\n12 The share of parcels that can be bequeathed is, with 82%, highest in communities in which the dominant inheritance regime is patrilineal, followed\nby matrilineal (71%) and mixed (69%) inheritance regimes.\n\n\n10\n\nMention: \"IHS4\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IHS4 estimates provide comparison parcel-level rates of male rights to bequest and sell.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001776:20:0", "occurrence_id": "1a618fed813a64d76e1f52a8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 19\n\n\ninputs. Of particular concern is the consistent finding for both the IR and input demand functions that small\n\n\nand larger plots induce different directions of biases due to land measurement error. With GPS and CR\n\n\nmeasurements, it appears that the link between land size and input use is stronger.\n\n\nOverall, our findings indicate that GPS estimates are more reliable than SR measurements. Farmer\n\n\nestimated land size was subject to greater measurement error, varied more between the main GHS-Panel\n\n\nwave 2 visit and the validation survey visit, and introduced the greatest bias into estimation of the negative\n\n\nland size-productivity relationship and the input demand functions. With well-trained enumerators, GPS\n\nestimates provide an effective approximation of CR measurements at a lower cost.\n\nMention: \"GHS-Panel\n\n\nwave 2\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"GHS-Panel wave 2 visit supplies farmer-reported land measures compared with the validation survey and GPS/CR measurements.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001882:4:0", "occurrence_id": "aebaf917a5fe8713f72a4a3c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: A key issue on which little analysis has been conducted is the potential selection bias\nassociated with GPS-based plot area estimates. For a variety of reasons connected to (i)\nreducing survey costs, (ii) keeping household interview durations within reasonable limits,\nand (iii) the difficulty of asking respondents to accompany enumerators to agricultural\nplots that are situated far from dwelling locations, survey fieldwork protocols often require\nenumerators to record GPS-based area measurements only for plots that are within a given\nradius of the dwelling location. Plots that are located within an acceptable distance from\nthe dwelling may still not be measured due to respondent refusal or lack of physical access\nat the time of the interview. Consequently, GPS-based plot area measurements, which are\nstill recorded alongside farmers’ own assessments in agricultural and household surveys,\npresent large gaps and a score of missing land area values that can be catalogued as “item\nnon-response.” It is not uncommon to have missing GPS-based area values for as much as a\nthird of the plots owned and/or cultivated by sample households, thus limiting the\nanalytical value of the GPS-based data collection effort, to the point that one could even\nquestion whether it is worth collecting such data. The potential selection bias in GPS-based\nplot area estimates is most recently recognized but not addressed by Carletto et al. (2013),\nwho explore the empirical implications associated with the choice of farm size measures\nbased on farmer-reported vs. GPS-based plot areas, and document a stronger inverse farm\nsize-land productivity relationship when using the GPS-based farm size measure.\n\nThe gaps in GPS-based plot area data are reminiscent of similar patterns of item nonresponse in other statistical series, such as income data in OECD countries. In the US, for\ninstance, the problem is common in some of the Census Bureau series (Scheuren, 2005), in\nthe National Interview Health Survey (NHIS\n\nMention: \"National Interview Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"NHIS is cited as another statistical series exhibiting item nonresponse in income data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001802:11:0", "occurrence_id": "4ac82957c84b054f65264f3c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: proportions are adjusted by the ratio of each sector’s profit rate to the average profit rate for\n\n\nthe whole economy. This is similar to the method used by Thurlow (2004), the details are\n\n\ndiscussed in the Appendix A. Also, Autonomous Energy Efficiency Improvement (AEEI) in\n\n\nthe CGE model is considered in this study, and is assumed to be 1% per year following the\n\n\ncommon assumptions in CGE. Since the available social accounting matrix (SAM) is for 2012,\n\n\nour base year is 2012. If the model has to adopt a projected growth rate of GDP (e.g., projected\n\n\nby the government), it is done through adjustments in total factor productivities (TFPs).\n\n\nThe BAU scenario is constructed using assumptions on labor supply growth and projected\n\n\nreal GDP growth, as shown in Table 2.\n\n\n**Table 2** The Labor supply growth rate and GDP growth rate from 2012 to 2030\n\n|Year|Labor supply growth rate|Average annual GDP growth rate|\n|---|---|---|\n|2012-2015|2.70%|8.51%|\n|2015-2020|4.60%|6.56%|\n|2020-2025|0|5.49%|\n|2025-2030|0|5.47%|\n\n\n\n_Note: Values for 2012-2015 are actual or observed values. The projected GDP is set at a moderate level based_\n_on a review of relevant literature_ <sup>_[6-8]_</sup> _. Labor supply growth rate are taken from China Statistic Year book 2017_\n_and UNDESA_ <sup>_[5]_</sup> _with very small modification based on our understanding about labor quality development_\n_tendency of China in the future._\n\n\n**2.3 Bottom-Up TIMES\n\nMention: \"China Statistic Year book 2017_\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"China's statistical yearbook supplies labor-supply growth-rate data used in constructing GDP-growth scenarios.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001802:11:0", "occurrence_id": "b7dd488bda6ea811ecc37133", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: proportions are adjusted by the ratio of each sector’s profit rate to the average profit rate for\n\n\nthe whole economy. This is similar to the method used by Thurlow (2004), the details are\n\n\ndiscussed in the Appendix A. Also, Autonomous Energy Efficiency Improvement (AEEI) in\n\n\nthe CGE model is considered in this study, and is assumed to be 1% per year following the\n\n\ncommon assumptions in CGE. Since the available social accounting matrix (SAM) is for 2012,\n\n\nour base year is 2012. If the model has to adopt a projected growth rate of GDP (e.g., projected\n\n\nby the government), it is done through adjustments in total factor productivities (TFPs).\n\n\nThe BAU scenario is constructed using assumptions on labor supply growth and projected\n\n\nreal GDP growth, as shown in Table 2.\n\n\n**Table 2** The Labor supply growth rate and GDP growth rate from 2012 to 2030\n\n|Year|Labor supply growth rate|Average annual GDP growth rate|\n|---|---|---|\n|2012-2015|2.70%|8.51%|\n|2015-2020|4.60%|6.56%|\n|2020-2025|0|5.49%|\n|2025-2030|0|5.47%|\n\n\n\n_Note: Values for 2012-2015 are actual or observed values. The projected GDP is set at a moderate level based_\n_on a review of relevant literature_ <sup>_[6-8]_</sup> _. Labor supply growth rate are taken from China Statistic Year book 2017_\n_and UNDESA_ <sup>_[5]_</sup> _with very small modification based on our understanding about labor quality development_\n_tendency of China in the future._\n\n\n**2.3 Bottom-Up TIMES\n\nMention: \"UNDESA_\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNDESA labor-supply growth data inform projected China labor-supply assumptions, with small study-specific adjustments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001768:48:6", "occurrence_id": "ad31145dc656d263ff229b07", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  at\nthe 10, 5 and 1 percent level, referring to Romano-Wolf p-values. These are obtained from a step-down procedure to adjust for multiple hypothesis testing\nperforming 1000 bootstrap replications as proposed by Romano and Wolf (2005). Covariates: Toilet ownership at baseline, indicator for presence of a child\naged 0 - 2 at baseline, ratio of number of sampled clients to village size. Data sources: household survey, administrative and credit bureau data.\n\n\n47\n\nMention: \"household survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household survey records provide toilet, child-presence, and household covariates used in the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001768:48:6", "occurrence_id": "336679802240e307836ae9c1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  at\nthe 10, 5 and 1 percent level, referring to Romano-Wolf p-values. These are obtained from a step-down procedure to adjust for multiple hypothesis testing\nperforming 1000 bootstrap replications as proposed by Romano and Wolf (2005). Covariates: Toilet ownership at baseline, indicator for presence of a child\naged 0 - 2 at baseline, ratio of number of sampled clients to village size. Data sources: household survey, administrative and credit bureau data.\n\n\n47\n\nMention: \"administrative and credit bureau data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Administrative and credit-bureau records supplement survey data for the study's covariates and analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001885:20:1", "occurrence_id": "56aa16631c306a389d690eec", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to non-farm work and wage employment. This finding\n\n\nis perhaps partly explained by the fact that this group was more likely to use mobile internet\n\n\nonce they received coverage. While the NPS does not include a question on individuals’ use\n\n\nof mobile internet, a GSMA consumer survey carried out in 2018 in Tanzania found that\n\n\nwomen were 52% less likely to use mobile internet than men, while individuals in rural areas\n\n\n18\n\nMention: \"GSMA consumer survey\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"GSMA consumer survey evidence on gender and rural differences in mobile-internet use provides context for access and employment findings.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001898:3:0", "occurrence_id": "53a661ae0d937c99b9bbb2fa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Introduction and Program Description**\nAfghan refugees form one of the largest protracted refugee populations in the world, with many Afghans\nhaving lived in exile for decades. Despite the ongoing conflict, roughly 2.4 million displaced Afghans have\nreturned to Afghanistan since 2014, including over half a million registered refugees who returned under\nthe voluntary return program of the United Nations High Commissioner for Refugees (UNHCR), which\nprovided them with immediate humanitarian assistance. More than 370,000 Afghan refugees returned to\nAfghanistan in 2016 alone. Between 2016 and 2018, UNHCR assisted more than 458,000 documented\nAfghan refugees who returned from Pakistan. <sup>1</sup> [^1: More than 380,000 undocumented refugees also returned from Pakistan to Afghanistan in 2016–18, according to\nannual reports of the International Organization for Migration and UNHCR.] The majority of refugees arrived at the Afghan border\nwithout any assets or income-generating means. A significant share of returnees were women\naccompanied by young children, which complicated reintegration.\n\n\nThe majority of Afghan refugees moved to Pakistan during the Soviet invasion in 1979–80, according to\nthe Population Profiling Verification and Response (PPVR) survey conducted in 2011. The protracted\nnature of the Afghan refugee situation, the large return wave since 2016, ongoing conflict, low economic\ngrowth, and weak job creation raise questions about how best to absorb and reintegrate the large number\nof returnees.\n\n\nAs a response to these challenges, UNHCR offers returning refugees under their mandate cash assistance\nfor reintegration and transportation. Returnees receive two types of cash assistance. First, UNHCR pays\ntransportation assistance, based on the distance traveled and the province of origin. The median\ntransportation assistance received by Afghan returnees in our sample was $45 per returnee. Second,\nreturnees receive reintegration assistance.\n\n\nBetween July 2016 and March 2017, UNHCR increased its reintegration assistance amount from $150 per\nreturnee to $350 per returnee because of the increased needs of returning Afghan refugees and the need\nto ensure dignified reintegration. The amount of\n\nMention: \"Population Profiling Verification and Response\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"PPVR survey results document the long-term presence of Afghan refugees in Pakistan and contextualize return and reintegration needs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001886:4:2", "occurrence_id": "308862c5a9f9e246b060ddbd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: itu.int/en/ITU-D/Statistics/Pages/publications/wtid.aspx.\n6 Benin and Burkina Faso have begun exhibiting some features of growing ecosystems, while Côte d’Ivoire is now West Africa’s leading\ntechnology hub (20 active hubs), alongside Senegal (15 hubs), Mali (14), and Togo (13) (Giuliani and Ajadi 2019). Governments in the\nsubregion are undertaking explicit reforms to encourage internet adoption and usage. The Government of Senegal, for instance, is\nimplementing reforms aiming to expand internet usage through the Stratégie Sénégal Numérique 2016–2025 (MENT 2016).\n7 The data-only mobile broadband basket consists of a monthly data allowance of at least 1.5 GB, irrespective of the device used, over\na 3G or higher network\n8 The survey program is a cooperative effort between WAEMU, the World Bank, and the national statistical institutes in the eight\nWAEMU countries. See Regional Program to Harmonize and Modernize Living Conditions Surveys (dashboard), World Bank,\nWashington, DC, https://projects.worldbank.org/en/projects-operations/project-detail/P153702.\n9 The survey does not distinguish between airtime and data transfers.\n10 Several other studies have also modeled adoption and usage as a two-stage probabilistic model (Grazzi and Vergara 2014; Kongaut\nand Bohlin 2016; Nishijima, Ivanauskas, and Sarti 2017; Martínez-Domínguez and Mora-Rivera 2020), while others center only on\nadoption (Hasbi and Dubus 2020).\n11 Based on an exchange rate of US$1.00 = CFAF 555.45 in 2018. International Financial Statistics (database), International Monetary\nFund, Washington, DC, https://data.imf.org/?sk=4c514d\n\nMention: \"Regional Program to Harmonize and Modernize Living Conditions Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The regional household-survey program is described as a cooperative source of harmonized living-conditions data across WAEMU countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001886:4:2", "occurrence_id": "0913f993e154e16dde58a71d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: itu.int/en/ITU-D/Statistics/Pages/publications/wtid.aspx.\n6 Benin and Burkina Faso have begun exhibiting some features of growing ecosystems, while Côte d’Ivoire is now West Africa’s leading\ntechnology hub (20 active hubs), alongside Senegal (15 hubs), Mali (14), and Togo (13) (Giuliani and Ajadi 2019). Governments in the\nsubregion are undertaking explicit reforms to encourage internet adoption and usage. The Government of Senegal, for instance, is\nimplementing reforms aiming to expand internet usage through the Stratégie Sénégal Numérique 2016–2025 (MENT 2016).\n7 The data-only mobile broadband basket consists of a monthly data allowance of at least 1.5 GB, irrespective of the device used, over\na 3G or higher network\n8 The survey program is a cooperative effort between WAEMU, the World Bank, and the national statistical institutes in the eight\nWAEMU countries. See Regional Program to Harmonize and Modernize Living Conditions Surveys (dashboard), World Bank,\nWashington, DC, https://projects.worldbank.org/en/projects-operations/project-detail/P153702.\n9 The survey does not distinguish between airtime and data transfers.\n10 Several other studies have also modeled adoption and usage as a two-stage probabilistic model (Grazzi and Vergara 2014; Kongaut\nand Bohlin 2016; Nishijima, Ivanauskas, and Sarti 2017; Martínez-Domínguez and Mora-Rivera 2020), while others center only on\nadoption (Hasbi and Dubus 2020).\n11 Based on an exchange rate of US$1.00 = CFAF 555.45 in 2018. International Financial Statistics (database), International Monetary\nFund, Washington, DC, https://data.imf.org/?sk=4c514d\n\nMention: \"International Financial Statistics (database)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"International Financial Statistics supplies the 2018 exchange-rate value used to convert US dollars into CFA francs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001925:1:0", "occurrence_id": "701685081669deaaff9591ed", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Policy Research Working Paper 9860\n\n##### **Abstract**\n\nThis paper evaluates different methods for nowcasting\n\ncountry-level poverty rates, including methods that apply\nstatistical learning to large-scale country-level data obtained\nfrom the World Development Indicators and Google Earth\nEngine. The methods are evaluated by withholding mea\nsured poverty rates and determining how accurately the\nmethods predict the held-out data. A simple approach that\nscales the last observed welfare distribution by a fraction of\nreal GDP per capita growth—a method that departs slightly\n\n\n\nfrom current World Bank practice—performs nearly as well\nas models using statistical learning on 1,000+ variables. This\nGDP-based approach outperforms all models that predict\npoverty rates directly, even when the last survey is up to\nfive years old. The results indicate that in this context, the\nadditional complexity introduced by applying statistical\nlearning techniques to a large set of variables yields only\nmarginal improvements in accuracy.\n\n\n\nThis paper is a product of the Development Data Group, Development Economics and the Poverty and Equity Global\n\nPractice. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to\ndevelopment policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://\nwww.worldbank.org/prwp. The authors may be contacted at dmahler@worldbank.org, acastanedaa@worldbank.org, and\ndnewhouse@worldbank.org.\n\n\n_The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development_\n_issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the_\n_names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those_\n_of the authors. They do\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Development Indicators are among the country-level inputs used to nowcast poverty rates and evaluate predictions against held-out observations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001925:1:0", "occurrence_id": "ba36c383469d3fd53317cd2c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Policy Research Working Paper 9860\n\n##### **Abstract**\n\nThis paper evaluates different methods for nowcasting\n\ncountry-level poverty rates, including methods that apply\nstatistical learning to large-scale country-level data obtained\nfrom the World Development Indicators and Google Earth\nEngine. The methods are evaluated by withholding mea\nsured poverty rates and determining how accurately the\nmethods predict the held-out data. A simple approach that\nscales the last observed welfare distribution by a fraction of\nreal GDP per capita growth—a method that departs slightly\n\n\n\nfrom current World Bank practice—performs nearly as well\nas models using statistical learning on 1,000+ variables. This\nGDP-based approach outperforms all models that predict\npoverty rates directly, even when the last survey is up to\nfive years old. The results indicate that in this context, the\nadditional complexity introduced by applying statistical\nlearning techniques to a large set of variables yields only\nmarginal improvements in accuracy.\n\n\n\nThis paper is a product of the Development Data Group, Development Economics and the Poverty and Equity Global\n\nPractice. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to\ndevelopment policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://\nwww.worldbank.org/prwp. The authors may be contacted at dmahler@worldbank.org, acastanedaa@worldbank.org, and\ndnewhouse@worldbank.org.\n\n\n_The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development_\n_issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the_\n_names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those_\n_of the authors. They do\n\nMention: \"Google Earth\nEngine\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Google Earth Engine supplies geospatial inputs for statistical-learning models that nowcast poverty rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001931:19:0", "occurrence_id": "3076a13b445411da8847772f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: of this 85% lived in cities with more than 100,000 residents (UN 2011). Furthermore,\nthe large, urban municipalities we study in Brazil are increasingly representative of\ncities in other developing countries due to continued increases in global urbanization\nrates (UN 2011). We acknowledge the distinct possibility the 253 most populous,\nurbanized municipalities are not representative of the remaining 5,317 Brazilian\nmunicipalities. However, these omitted municipalities are physically large and\nsparsely populated in most cases. They do not represent the average Brazilian’s\nexperience and are therefore of less interest for our purposes.\n\n_Administrative_ _Capacity:_ _Permanent_ _administrative_ _employees_ _per_ _capita,_\n_decentralized management score (IGD)_\n\nThe Bolsa Família program is administered at the municipal level and management\nquality varies considerably. We use operational data from the Ministry of Social\nDevelopment (MDS), called the Index of Decentralized Management (IGD), to capture\nthis variation. The MDS rates each municipality on how well it administers program\nelements, such as updates to the Unified Registry and tracking of beneficiaries’\ncompliance with conditionality requirements. The MDS offers greater funding to\ncities that perform better on the IGD. Quality of local management should reflect a\ncombination of local political commitment as well as existing municipal state\ncapacity. Quality of local management is likely to influence local outcomes\nindependently from the broad Bolsa Família coverage, which is often high in\nmunicipalities where management is poor, such as settings with dense poverty. This\nvariable is continuous from 0 to 1 and each municipality receives an annual score;\nbetter management results in scores closer to 1 and worse management closer to\nzero. The mean score is .76 and the standard deviation is .15.\n\n_Other Sources of Revenue: Capital Revenue, Federal Budget Transfers, Gross Local_\n_Product per Capita_\n\nWe collect data on sources of revenue beyond local tax collection as well as\n\nMention: \"Index of Decentralized Management\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Municipal IGD operational records measure local Bolsa Família management quality and program-administration performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001932:14:0", "occurrence_id": "27144bf80d601ae7a4ebb1f9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _Ratio of loans to deposits_\nThe loans to deposits ratio is a measure of the liquidity of financial institutions as well as the\nability of the banking sector to use available resources. These ratios were highest in South Africa\nfor most of the period (figure 5). They were very low and declining in Egypt. The ratio rose\nconsistently in Turkey over the period, increasing from 37.1 in 2002 to about 130.4 in 2015.\n\n\n**Figure 5 Ratio of loans to deposits in six middle‐income countries, 2000–16**\n\n\n\n\n\n\n\n_Source_ : Data from the World Bank’s Financial Structure Database (2017).\n\n\n_Ratio of liquid liabilities to GDP_\nThe ratio of liquid liabilities to GDP declined in Egypt between 2008 and 2012 (figure 6). It was\nhigher than the ratio in Turkey and South Africa. Malaysia had the highest ratio. Morocco\nexperienced a continuous increase in the ratio between 2000 and 2015.\n\n\n13\n\nMention: \"Financial Structure Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Bank Financial Structure Database ratios are used to compare bank liquidity and resource use across middle-income countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001943:1:0", "occurrence_id": "1a77049e664b62699c651bf1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Policy Research Working Paper 9633\n\n### **Abstract**\n\nThis paper provides one of the first comprehensive and\n\nmost updated studies on the effects of firms’ organizational\nresources, country institutions, and national culture on\nthe survival and growth of private firms around the world\nduring the COVID-19 pandemic. Analyzing World Bank\nEnterprise Follow-up Surveys on COVID-19 that cover\n18,770 firms in 36 countries, the paper documents four sets\nof findings. (1) During the pandemic, firms with favorable\norganizational resources (state ownership and affiliation\nwith parent companies) are more likely to survive and grow,\nwhereas firms with foreign ownership or more financial\nobstacles are less likely to survive or grow. Firms in countries with a higher per capita income, a lower COVID-19\n\n\n\nspread, and a less stringent COVID-19 control policy are\nmore likely to survive and grow. (2) Favorable ownership\nand parent-company affiliations help cushion the pandemic\nshock during the pandemic. (3) The relationship between\nfirm characteristics and firm survival/growth is significantly\naffected by the stringency of a country’s COVID-19 policy.\n(4) Firm survival and growth are positively related to a coun\ntry’s cultural tendency in terms of long-term orientation\nand are not significantly related to uncertainty avoidance\nand individualism. The overall quality of country governance is negatively linked to the odds for firm survival as\nwell as revenue and employment growth.\n\n\n\nThis paper is a product of the Development Research Group, Development Economics. It is part of a larger effort by the\nWorld Bank to provide open access to its research and make a contribution to development policy discussions around the\n\nworld. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The authors may\nbe contacted at lxu1@worldbank.org.\n\n\n_The Policy Research Working Paper Series disseminates the findings of work in progress to\n\nMention: \"World Bank\nEnterprise Follow-up Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Enterprise Follow-up Survey responses from firms across 36 countries are analyzed to explain survival, growth, revenues, and employment during COVID-19.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001953:12:0", "occurrence_id": "0b4e781a42fed92c1f09713e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: crime and violence in El Salvador, might endanger both children and instructors.\n\n\nInstead, following Chandler et al. (2011), I estimate a predictive model of violence and crime\n\n\nfrom existing data using a Two-Sample Least Squares strategy. First, using an existing anonymized\n\n\ndatabase of youths’ violence and crime from El Salvador (FUSADES, 2015), <sup>10</sup> I estimate the like\n\nlihood of having committed a violent act _Vf_ as a function of a wide range of covariates:\n\n\n_Vf_ = _α_ 0 + _α_ 1 _Df_ + _ϵf_ (1)\n\n\nwhere _Df_ is a vector of violence determinants of student _f_ in the FUSADES dataset. This vec\n\ntor includes variables that indicate individuals’ vulnerability to violence, such as student charac\n\nteristics (e.g., age, gender, time spent alone at home, and education level); children’s household\n\n\nvariables (e.g., residence area, mother’s education, and household composition); and school-level\n\n\ncontrols (e.g., school location and commuting time to school). <sup>11</sup> Descriptive statistics and com\n\nparison of means ( _p_ -values) between the FUSADES sample and the one from this study are in\n\n\nAppendix Table A1. Estimations indicate that both samples are similar in most of the deter\n\nminants except for some variables such as student’s age and their report of being without adult\n\n\nsupervision after school hours.\n\n\nAll estimated coefficients _α_ ˆ1 have the expected sign according to the literature of violence deter\n\nminants, as shown in Appendix Table A2. For instance, boys are more likely to be violent than\n\n\ngirls, adolescents behave worse than children (Rodriguez-Planas, 2012), and lack\n\nMention: \"FUSADES dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Anonymized youth violence and crime records train a predictive model and support comparison of violence determinants with the study sample.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001996:14:0", "occurrence_id": "f29071b08711fa0f611eae6e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **3.2** **Construction of total factor productivity**\n\n\nTotal factor productivity is commonly measured as a residual, that is, the portion of GDP that remains after\n\n\naccounting for the direct contributions of capital and labor inputs in total GDP (Barro and Sala-i-Martin 2004).\n\n\nThe aggregate capital stock is usually computed through the perpetual-inventory method, as the accumulation of\n\n\ngross physical investment (from a given initial capital stock), discounting the depreciation of existing stocks.\n\n\nLabor input can be calculated as the number of employed people, adjusted for human capital. The capital share is\n\n\nthe fraction of total GDP used to pay for capital, and the labor share is the fraction of total GDP used to pay for\n\n\nlabor. The shares of each factor of production are often assumed to be constant over time.\n\n\nFor the level of (relative) TFP, we use the estimate provided in Penn World Table (PWT) 9.0, labeled _rtfpna_\n\n\n(Feenstra, Inklaar, and Timmer 2015). This series is obtained by setting the TFP level of 2011 equal to 1, and then\n\n\ncomputing the remaining TFP levels backwards and forwards by applying the TFP growth rates. The TFP growth\n\n\nrates are obtained implicitly through the following equations:\n\n\n\n��\n\n\n\n��\n\n\n\n𝑅𝑇𝐹𝑃��\n\n\n\n<u>����</u> 𝑅𝐺𝐷𝑃��\n\n<u>��</u> <sup>�</sup> <u>��</u>\n\n𝑅𝐺𝐷𝑃\n\n\n\n𝑅𝑇𝐹𝑃����\n\n\n\n𝑅𝐺𝐷𝑃����\n\n\n\n<u>��</u> <sup>/𝑄��,���,</sup>\n\n\n\n����� <u>�</u>\n������ <sup>~~�~~</sup> <sup>��1 �</sup> \n\n\n��\n\n<u>�</u> ����\n\n- <sup>\n\nMention: \"Penn World Table (PWT) 9.0\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Penn World Table rtfpna supplies the TFP level estimate normalized to 2011 and extended through growth rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:001973:26:0", "occurrence_id": "fc776f605c64f0523dda1bfb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 25\n\n\n\nTable 2: Basic post-harvest indicators and PHL estimates for LSMS-ISA surveys\n\n\n\nStorage and crop protection\nmodalities among maize\n<u>farmers (national) (%)</u>\n\n\n\nUG 2009-10 TZ 2010-11 TZ 2008-09 MWI 2010-11\n\n\n\n<u>Traditional storage</u> <u>1.4</u> <u>24.8</u> <u>19.2</u> <u>17.9</u>\nImproved storage 0.6 11.5 5.9 2.0\nCrop protection (spraying or 63.1 49.0 37.2 10.8\n<u>smoking)</u>\n\n\n\n63.1 49.0 37.2 10.8\n\n\n\n<u>Number of observations</u>\n<u>(maize-producing households)</u>\n\n\n\n<u>1,853</u> <u>1,520</u> <u>1,301</u> <u>10,331</u>\n\n\n\nNotes: National numbers are household based estimates reweighted by maize harvested quantities. Improved storage refers to\nthe use of airtight drums, modern store or metallic silos, or improved local infrastructures. Traditional and improved storage\ntechniques are contrasted with “poor storage” that comprises in-house or ceiling storage, unprotected piles, and open drums\nand sacks.\n\nSource: LSMS-ISA surveys (authors’ own calculations)\n\nMention: \"LSMS-ISA surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"LSMS-ISA survey data support country-level estimates of maize-farmer storage and crop-protection practices.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002014:30:2", "occurrence_id": "dee94fe2b4d1c3a8a85375a3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 049 - -.027\n(.057) (.056)\n\n\n\n(.056)\n\n\n\n\n- -.164***\n\n\n\n6 - -.049 - -.027\n(.057) (.056)\n\n7 - -.054 - .028\n<u>(.056)</u> <u>(.055)</u>\n\n\n\n7                    - -.054                    - .028\n<u>(.056)</u> <u>(.055)</u>\n\n<u>Observations</u> <u>3416</u> <u>7637</u>\nSource: EL.STAT, Quarterly Labor Force Survey-LFS (2017 – 2020, 1 <sup>st</sup> quarter).\nNotes: Reported estimates are average marginal effects drawn from a probit model (interaction effects\nmodel) and correspond to the post 2020Q1 period (additive effect). Based on the ILO definition of\nunemployment, the dependent variable takes the value of 1 if the individual is considered to be\nunemployed and 0 otherwise. Sample includes all individuals (aged 25-54) who have stopped working\nduring the last 8 quarters (2 years). All models include controls for gender, age, country of birth,\neducation, region and sector of economic activity of the last job. In parentheses, white\nheteroskedasticity corrected standard errors are reported. All estimates are weighted using the\nsampling weights provided by the EL.STAT. *** at 1%, ** at 5% and * at 1%.\n\nWe observe (column 2) that, for those who had been laid-off, the probability of\nsearching for work during the first quarter of 2020 was 11.2 percentage points lower\nthan in the first quarter of 2019.  For those who were not working because their last\nemployment contract had been terminated, the drop in the probability\n\nMention: \"Quarterly Labor Force Survey-LFS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Quarterly LFS data support weighted estimates of employment transitions and job-search behavior after layoffs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002033:3:0", "occurrence_id": "68289b312ebb490aa0f33778", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **1. Introduction**\n\nIn the past decade, the Argentine government has imposed many discretionary restrictions that\n\ndistort the allocation of resources. Such restrictions include import quotas and licenses, export\n\npermits, and unfair bidding practices for government contracts. <sup>2</sup> To gain a sense of the bureaucratic\n\nstructure in Argentina, it is illustrative to look at various measures of the ease of doing business.\n\nFigure 1 shows several indicators from the World Bank’s Doing Business data set for Argentina\n\nand for Organisation for Economic Co-operation and Development (OECD) countries. Argentina\n\nranks very low in almost all the indicators, implying that the country requires long and\n\ncumbersome bureaucratic procedures in many areas. <sup>3</sup> The aforementioned restrictions create\n\nincentives for rent-seeking behavior, in which firms engage in activities to influence or circumvent\n\nthese complicated regulations and policies and obtain individual benefits.\n\n\n**Figure 1. Measures of the ease of doing business in Argentina**\n\n\n_Source:_ Doing Business dataset.\n\n\n2 Other types of regulations suspected to distort resource allocation are selective enforcement of taxes and regulations, targeted\nsubsidies, and the “cepo” cambiario (exchange rate), which enabled the government to reallocate U.S. dollars to certain firms. See\nGaliani, Gomez, and Scattolo (2019) for more evidence.\n3 For these indicators, a ranking of 1 means that a country has the best practices in the area in question and a ranking of 200 means\nthat it has the worst practices in that area. Argentina ranks in the lower half of the table for all but one indicator.\n\n2\n\nMention: \"Doing Business data set\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Doing Business indicators provide comparative measures of Argentina's bureaucratic procedures against OECD countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002033:3:0", "occurrence_id": "a58be554fe1aa02a9ca36e37", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **1. Introduction**\n\nIn the past decade, the Argentine government has imposed many discretionary restrictions that\n\ndistort the allocation of resources. Such restrictions include import quotas and licenses, export\n\npermits, and unfair bidding practices for government contracts. <sup>2</sup> To gain a sense of the bureaucratic\n\nstructure in Argentina, it is illustrative to look at various measures of the ease of doing business.\n\nFigure 1 shows several indicators from the World Bank’s Doing Business data set for Argentina\n\nand for Organisation for Economic Co-operation and Development (OECD) countries. Argentina\n\nranks very low in almost all the indicators, implying that the country requires long and\n\ncumbersome bureaucratic procedures in many areas. <sup>3</sup> The aforementioned restrictions create\n\nincentives for rent-seeking behavior, in which firms engage in activities to influence or circumvent\n\nthese complicated regulations and policies and obtain individual benefits.\n\n\n**Figure 1. Measures of the ease of doing business in Argentina**\n\n\n_Source:_ Doing Business dataset.\n\n\n2 Other types of regulations suspected to distort resource allocation are selective enforcement of taxes and regulations, targeted\nsubsidies, and the “cepo” cambiario (exchange rate), which enabled the government to reallocate U.S. dollars to certain firms. See\nGaliani, Gomez, and Scattolo (2019) for more evidence.\n3 For these indicators, a ranking of 1 means that a country has the best practices in the area in question and a ranking of 200 means\nthat it has the worst practices in that area. Argentina ranks in the lower half of the table for all but one indicator.\n\n2\n\nMention: \"Doing Business dataset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Doing Business indicators provide comparative measures of Argentina's bureaucratic procedures against OECD countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002058:11:0", "occurrence_id": "0c40b11729d1c911c5c6bdc1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <mark>absolute change w.r.t original income, p.p.</mark> <mark>-14.9</mark> <mark>-14.1</mark>\n<u><mark>relative change w.r.t. original income, percent</mark></u> <u><mark>-30.0</mark></u> <u><mark>-28.5</mark></u>\n<u>Source: Authors’ calculations using RUSMOD for 2017 policy year and 2016 RLMS-HSE data.</u>\n\n\nAmong the components of the tax-benefit system, the most important one is pensions **.** The marginal\ncontribution <sup>7</sup> [^7: The marginal contribution of a tax (or transfer) is calculated by taking the difference between the inequality indicator\nwithout the tax (or transfer) and with it (Lustig, 2018).] of pensions to poverty reduction is almost 26 percentage points, meaning that poverty\nmore than doubles if pensions are excluded from income (Table 2). <sup>8</sup> [^8: Under the hypothetical case where pensions are excluded from the disposable income, but all other programs remain in\nplace, the eligibility and amounts are recalculated as if there were no pensions.] The Gini index in this case almost\nreturns to the level recorded at the _original_ income. Other components have much smaller effect on\npoverty and inequality. The largest among these other components in terms of marginal contribution\nto poverty are social insurance contributions: poverty would have been lower by 4 percentage points\nif employees were able to retain their contributions. The second biggest marginal impact on inequality\nis coming from non-means-tested social assistance benefits.\n\n\n**<u>Table 2. Marginal contributions of key tax/benefit programs to disposable income, 2017</u>**\n\n\n\n<u>Disposable\n\nMention: \"2016 RLMS-HSE data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"RLMS-HSE data provide 2016 household inputs for the 2017 RUSMOD tax-benefit and poverty analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002076:58:0", "occurrence_id": "05d0714e01553cf1ab8f86c9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>First follow-up (2004):</u>\n\n\n_•_ Self-employment: same as baseline.\n\n\n_•_ Migration: defined according to response to survey information, question 2 part\n\nC (“Is household living in the same cluster as 10 years ago; nearby village; else\nwhere in Kagera; elsewhere in Tanzania; neighbouring country; other country”).\n\n\n<u>Second follow-up (2010):</u>\n\n\n_•_ Self-employment: positive answer to section 2D, question T2dQ16 (“During the\n\npast 12 months, has [NAME] worked for him/herself or his/her household in\n\na non-farm business? For example, as an independent merchant or fisherman,\n\nlawyer, doctor, or other self-employed activity?”) and primary activity is not\n\nfarm/livestock work (section 2D, question T2dQ18).\n\n\n_•_ Migration: same as first follow-up.\n\n###### **B.8 Panel Survey of Income Dynamics (PSID)**\n\n\nThe PSID collects detailed information on occupation and income for the head and (if\n\npresent) for the ”spouse/partner” of each surveyed household.\n\n\n<u>Baseline (2001):</u>\n\n\n_•_ Income: defined as the sum of farm income (ER2042), business income (ER20422\n\nand ER20444), and labor income (ER20443 and ER20447) in the previous year.\n\nLosses are not reported for both farm and business income (i.e. these variables\n\nare truncated at zero).\n\n\n_•_ Occupation type: defined according to status in main job (ER17221 and ER17791;\n\n“On your main job, are you (HEAD) self-employed, are you employed by some\none else, or what?\n\nMention: \"Panel Survey of Income Dynamics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"PSID occupation and income measures support analysis of household employment, migration, and self-employment outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002083:36:0", "occurrence_id": "4568222ffcb87f11d323bc6c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Table 11: Simulation Employment Upgrading on the basis of education levels and occupational category\n\n\n(1) (2)\nEducation Occupation\nGDP Sim./Baseline GDP Sim./Baseline\n\n\nEcuador 101.9 101.6\n\n\n<u>Province</u>\nPichincha 103.5 102.8\n<u>Guayas</u> <u>102.1</u> <u>101.1</u>\n\n\nNotes: GDP base value indexed to 100. According to the EPEC survey, Venezuelan workers account\nfor 2.9% of employment in Ecuador. Simulated scenario assumes that Venezuelan workers obtain\nthe same monthly earnings as Ecuadoran workers with the same education level (in column 1) or\noccupational category (in column 2) in the same province of residence. The simulation maintains\nwage levels constant at each education level and province. Quito is the capital of the Pichincha\nprovince and Guayaquil is the capital of Guayas.\n\n\n34\n\nMention: \"EPEC survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"EPEC survey estimates the share of Ecuadorian employment held by Venezuelan workers, informing the employment-upgrading simulation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002103:17:0", "occurrence_id": "09145a7a6a96defb0e3fc646", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: of household could thus introduce a downward bias to our labor supply estimates. The final\n\n\nsample is a balanced panel of 2,329 individuals of whom 1,734 (74.4 percent) are women. The\n\n\nsample is heavily skewed towards women because households are overwhelmingly headed by\n\n\nmales.\n\n\nIn Table 5 (6), we provide sample means from ALSMS02 and the results from the\n\n\nweighted tests of mean differences by household NE (old-age pension) recipient status. The tests\n\n\nof mean differences in individual characteristics were run among _work eligible individuals_,\n\n\nwhereas the tests of mean differences in household-level variables were computed among\n\n\n_households_ . 2005, as opposed to 2002, descriptive comparisons do not yield different results with\n\n\nrespect to the findings reported here. The majority of the mean differences reported in Table 5\n\n\nare statistically significant at the 1% level. We observe that work eligible individuals from NE\n\n\nhouseholds, on average, work less (in terms of hours or weeks of labor supplied), and are less\n\n\nlikely to have worked in the past 7 days in comparison to their counterparts from non-NE\n\n\nhouseholds. In contrast, Table 6 shows that work eligible individuals from pension households\n\n\nare more likely to have worked the last seven days and work longer hours and more weeks with\n\n\nrespect to comparable members of non-pension households, these differences are however small\n\n\nin magnitude. Although work-eligible individuals from NE households are less educated than\n\n\ntheir comparators from non-NE households, the comparison of years of education by household\n\n\nold-age pension recipient status yields the opposite result.\n\n\nFurthermore, while NE households record, on average, lower per capita consumption\n\n\nthan non-NE households, the test of mean differences in the same variable by household old-age\n\n\npension recipient status does not lead to a statistically significant finding. Despite the fact that\n\n\nthe average amount of land owned by NE households is significantly lower, these units record\n\n\n15\n\nMention: \"ALSMS02\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ALSMS02 household and parcel data underpin comparisons of land rights, labor, consumption, and agricultural investment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002155:60:0", "occurrence_id": "39ba31c96597afcca9d86f47", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: #### **Appendix** **A Other Descriptive Figures and Tables**\n\n‘\n\n\nFigure A1: Share of self-employed workers in Bangladesh and global oil prices\n\n\n_Source:_ Bangladesh Labor Force Surveys 1999-2017 for share of self-employment; OPEC\nReference Basket for crude oil prices.\n_Note:_ The sample is restricted to employed males aged 18-59 in rural or semi-urban areas.\n\n\n59\n\nMention: \"OPEC\nReference Basket\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"OPEC crude-oil prices are plotted alongside Bangladesh self-employment rates for comparison over time.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002168:11:0", "occurrence_id": "66b1a768370a8174b365c7a6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the mandatory high school exit exam, SABER 11 (Ferreyra et al., 2021). An HEI must be licensed\n\n\nto open or continue offering a SCP. In addition, HEIs and programs can voluntarily pursue high\n\n\nquality accreditation from the Ministry of Education by complying with the corresponding\n\n\nprotocols and requirements (Ferreyra et al., 2021.)\n\n\nRelative to bachelor’s programs, SCPs attract more disadvantaged students—less prepared\n\n\nacademically for higher education, with less educated mothers, and more likely to come from low\n\nincome households (Table A1). These disadvantages stress the need to determine whether and how\n\n\nSCPs contribute to students' academic and labor market outcomes.\n\n##### **4. Data Sources and Descriptive Statistics**\n\n\n**4.1** **Data Sources**\n\n\n**_Pre-higher education student information_** _._ We obtained the SABER 11 dataset from the Ministry\n\n\nof Education’s Colombian Institute for Educational Assessment ( _Instituto Colombiano para la_\n\n\n_Evaluación de la Educación, ICFES_ ). The dataset includes individual-level SABER 11 exam\n\n\nscores from all students who took the exam between 2000 and 2009 as well as student information\n\n\nreported at the time of the exam, including personal characteristics (gender, age, city where they\n\n\ncompleted high school) and socioeconomic information (family income and parental education).\n\n\n**_Student-level higher education exit information_** _._ From ICFES, we also obtained individual-level\n\n\ntest scores of students who took the higher education exit exam, SABER PRO. This exam includes\n\n\ngeneral and subject-specific components. <sup>23</sup> [^23: The general component is based on the College Learning Assessment (CLA) and, since 2011, has included five\nmandatory modules: writing, English, reading/critical thinking, quantitative reasoning, and civic competencies. For a\nmore detailed description of the SABER PRO exam, see Domingue et al. (2017) and Riehl et al. (2020).] We use data from the reading and\n\nMention: \"the SABER 11 dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SABER 11 scores and student socioeconomic characteristics provide pre-higher-education measures for outcome analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002190:14:0", "occurrence_id": "1140a1d7049bff9bd8df7e97", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: of pre-treatment survey periods and those surveyed in the immediate aftermath), and consider the\n\n\nthird and fourth quarters to be post-treatment. Thus, while our baseline specification averages\n\n\nthe effects on workers surveyed from 5 weeks to 3 years after the Rana plaza collapse, we also run\n\n\nspecifications where we explicitly consider treatment effect heterogeneity by time duration since\n\n\nthe collapse.\n\n\n**3.3** **Identification** **strategy**\n\n\nOur main identification strategy is a triple-difference that tests for differential outcomes in apparel\n\n\nworkers (vs non-apparel manufacturing workers), in the four districts of Bangladesh that constitute\n\n\nthe vast majority of export apparel factories (vs the rest of the country), pre-vs post Rana Plaza.\n\n\nWe define the apparel industry according to the ISIC-3 classification (ISIC-3 two-digit code 18),\n\n\nwhich we also refer to as the garment industry.\n\n\nOur treated districts are Dhaka, Gazipur, Narayanganj, and Chittagong. As these districts\n\n\nrepresent 3229 of the 3251 (99%) export-oriented ready-made garment factories mapped as of\n\n\nMarch 2021 (Mapped in Bangladesh, 2021), we argue that they were most closely affected by\n\n\nthe Rana Plaza reforms, given the role of international buyers described in section 2.2. Although\n\n\ngarment employment in Bangladesh is disproportionately concentrated in the four treated districts,\n\n\ncontrol districts still host 46% of garment workers in the sample, giving us sufficient control\n\n\nobservations in our triple-difference estimation. Figure 4 shows the distribution of garment workers\n\n\nacross treatment and control districts.\n\n\nWe thus estimate the following specification for an outcome _Y_ for worker _i_ in district _j_ at time\n\n\n13\n\nMention: \"Mapped in Bangladesh\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Mapped in Bangladesh factory locations substantiate that treated districts contain nearly all export-oriented garment factories.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002187:17:0", "occurrence_id": "9cafdecaf43747e668e3ac81", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: easily. <sup>5</sup> [^5: Although there is an “inteff” Stata command to estimate the “marginal effect” of interaction effects, this command\ndoes not produce the marginal effect of the main variables taking the interaction into account.] Instead, we used a linear probability model (LPM) because the coefficients are easy to\ninterpret and marginal effects are easy to compute. In fact, Angrist and Pischke (2010)\ndocumented that OLS estimates of LPM produce coefficients that are mostly statistically\nindistinguishable from the marginal effects of the probit model. Moreover, because our measure\nof the individuals’ WTP is non-negative and only three respondents stated a zero willingness to\npay, we use the OLS method to estimate the effect of information provision on WTP that was\ngathered through the BDM bidding method.\n\n\n**4. Descriptive Statistics**\n\nThis section discusses the descriptive statistics of the outcome variables, treatment\nvariables and key socio-economic characteristics of the households in our study. Table 1\npresents descriptive statistics of key socio-economic characteristics of the households\nconsidered in our study for the overall sample as well as for treatment and control groups.\n\nAs shown in Table 1, on average about 61% and 58% of the information treatment and\ncontrol households, respectively, used kerosene as the main source of light in their house. This\nmeans the majority of households in both the treatment and control group use a dirty fuel source\nfor lighting in their homes. In terms of use of clean lighting energy sources, about 11% and 12%\nof the treatment and control households, respectively, used solar, and 2.7% and 1.5% of the\ntreatment and control households are connected to grid electricity. This is consistent with\nprevious national level data on rural households’ access to off-grid electricity. For example, in\nthe World Bank’s MTF survey for Ethiopia, about 11% of households in Ethiopia get electricity\naccess through off-grid electricity sources mainly through solar technologies (MoWIE, 2019).\n\nOn average\n\nMention: \"national level data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"National-level rural-electrification data provide context for the study's household energy-access findings.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002187:17:0", "occurrence_id": "9df4f306e908bac7306e0679", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: easily. <sup>5</sup> [^5: Although there is an “inteff” Stata command to estimate the “marginal effect” of interaction effects, this command\ndoes not produce the marginal effect of the main variables taking the interaction into account.] Instead, we used a linear probability model (LPM) because the coefficients are easy to\ninterpret and marginal effects are easy to compute. In fact, Angrist and Pischke (2010)\ndocumented that OLS estimates of LPM produce coefficients that are mostly statistically\nindistinguishable from the marginal effects of the probit model. Moreover, because our measure\nof the individuals’ WTP is non-negative and only three respondents stated a zero willingness to\npay, we use the OLS method to estimate the effect of information provision on WTP that was\ngathered through the BDM bidding method.\n\n\n**4. Descriptive Statistics**\n\nThis section discusses the descriptive statistics of the outcome variables, treatment\nvariables and key socio-economic characteristics of the households in our study. Table 1\npresents descriptive statistics of key socio-economic characteristics of the households\nconsidered in our study for the overall sample as well as for treatment and control groups.\n\nAs shown in Table 1, on average about 61% and 58% of the information treatment and\ncontrol households, respectively, used kerosene as the main source of light in their house. This\nmeans the majority of households in both the treatment and control group use a dirty fuel source\nfor lighting in their homes. In terms of use of clean lighting energy sources, about 11% and 12%\nof the treatment and control households, respectively, used solar, and 2.7% and 1.5% of the\ntreatment and control households are connected to grid electricity. This is consistent with\nprevious national level data on rural households’ access to off-grid electricity. For example, in\nthe World Bank’s MTF survey for Ethiopia, about 11% of households in Ethiopia get electricity\naccess through off-grid electricity sources mainly through solar technologies (MoWIE, 2019).\n\nOn average\n\nMention: \"MTF survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"The World Bank MTF survey provides a benchmark estimate of Ethiopian households' off-grid electricity access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002206:20:0", "occurrence_id": "13953a594ab068e98c5b22c3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ##### **3. Sector-level bilateral input-output table**\n\n**3.1** **EORA: World MRIO data**\n\n\nThe multi-region input-output table (MRIO) that is part of the Eora database provides an\nin-depth window on the GVC integration of sub-Saharan countries. There exists several\nalternative input-output databases, but this is the only version where there is enough country\ndetail to study African countries individually. <sup>9</sup> [^9: A widely-used alternative is the World Input-Output Database (WIOD) (http://www.wiod.org/home)\nconstructed and maintained by researchers at the Groningen Growth and Development Centre. The 2016 release\ncovers 43 individual countries (including the 28 EU member states) and a rest-of-the-world aggregate, the period] Unavoidably, this level of detail comes at a\ncost, which is the greater reliance on imputations and proportionality assumptions to\ncomplement the relatively sparse data for some countries. The underlying data that we use is\nfreely downloadable and the construction of the various components is described in detail in\nLenzen et al. (2012, 2013). <sup>10</sup> [^10: http://worldmrio.com/]\n\n\nWe use the global MRIO table that contains information for 190 countries over the 19902015 period for a simplified set of 26 harmonized sectors. These dimensions imply that just\nthe matrix of bilateral input coefficients at the country-industry level is a (190*26) by\n(190*26) square matrix that contains more than 24 million coefficients. In addition, there are\ncolumns for 6 final demand components that add another 5.6 million pieces of information.\nMoreover, this information is available for 26 years. <sup>11</sup> [^11: In total, the entire database consists of almost 770 million values, most of which are naturally\nindistinguishable from zero, but not exactly zero.] Clearly, in order to learn something\nfrom this gigantic source of\n\nMention: \"Eora database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The Eora multi-region input-output database provides sector-level bilateral trade flows for analyzing global-value-chain integration.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002211:8:0", "occurrence_id": "612cf963217d8f90d527cf88", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 1: Location of refugees camps in Africa**\n\n\n_Source:_ authors’ elaboration based on UNHCR data (retrieved in April 2021)\n\n\nRefugee’ camps are mainly located in peripheral regions, as confirmed by their distance <sup>7</sup> from\n\ncountry borders and capital cities. The average distance from the border is 50 kilometers. About 93\n\npercent of camps are located within 100 kilometers from the border and only a few exceptions (Fau\n\n5 in Sudan, Osire in Namibia and Maratane in Mozambique) are located more than 200 kilometers\n\nfrom the border. The average distance from the capital is about 500 kilometers. Gorom, in South\n\nSudan, is the refugee camp located closest to the capital while the farthest are Mboti, Mulongwe\n\nand Lusenda in the Democratic Republic of the Congo.\n\nConcerning the context in which the camps are located, by analyzing satellite data it has been\n\npossible to detect the characteristics of camps’ neighborhood. Most of refugee’ camps are close to\n\nlocal communities (85 percent of the total), close to crop fields areas (78 percent), in rural context\n\n(75 percent) and within 15 kilometers from rivers or lakes (75 percent). Almost a half of the camps\n\nare close to Savana and in desertic areas, 14 percent in the context of forest and only a small part is\n\nlocated in urban (1.5 percent) or mountain (3 percent) areas.\n\n\n7 Computed as Euclidean distance.\n\n7\n\nMention: \"UNHCR data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"UNHCR camp-location data are mapped and analyzed for distances to borders, capitals, settlements, and environmental features.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002220:32:1", "occurrence_id": "e388a110aede3f77503086ac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: year increase in schooling (from 5 to 15) will raise the average\n\nprobability of using mobile services with data from 8 to 18 percent. Having more friends using data (from 0 to 5)\n\nincreases the average likelihood of using mobile services with data from 3 to 34 percent. Finally, large increases in\n\nincome (from top to bottom quintile of the distribution) increases the likelihood of using mobile services without\n\ndata by only 2 percentage points while having on significant effect on the probability of using mobile services with\n\ndata (Atiyas and Doganoglu 2021).\n\n\nAcross developing countries, the cost of acquiring data and internet-enabled devices has been declining over time\n\n—although at a much slower pace for the latter. Still, it is considerably more expensive in Sub-Saharan Africa (6.8\n\npercent of monthly income per capita) than in other world regions. Within Sub-Saharan Africa, more than three\nquarters of the countries have affordability levels that exceed the 2 percent target. <sup>23</sup> Developing an inclusive digital\n\neconomy requires mobile data to be affordable for the poorest. The cost of purchasing mobile data for the poorest\n\nsegments of the population (say, the bottom 20 percent) is particularly more expensive in Sub-Saharan Africa —at\n\n39 percent of monthly income per capita.\n\n\nThe price of a mobile device as a percentage of personal income is, on average, the highest in Sub-Saharan Africa\n\n(69 percent of monthly income per capita) and the lowest in Latin America (16 percent). These prices are even more\n\n\n22 The countries included in the 2018 RIA survey on barriers to internet access were Ghana, Kenya, Lesotho, Mozambique,\nNigeria, Rwanda, Senegal, South Africa, and Uganda.\n23 The Broadband Commission for Digital Development targeted entry-level broadband services to be made affordable in\ndeveloping countries at less than 2 percent of monthly gross national income per capita by 2025.\n\n\n31\n\nMention: \"the 2018 RIA survey\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"RIA survey results provide context on barriers to internet access across nine sub-Saharan African countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002242:27:0", "occurrence_id": "c7078b4133ae40fad255cf27", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 1: Variable definitions and Sources**\n\n<u>Variables</u> <u>Definition and source</u>\n\n\n\n<u>Cases per 1000</u>\n\nresidents\n\n\nPandemic mortality\n\nrate\n\n\nDelay I\n\n\nDelay D\n\n\n\nDelay in implementing domestic close-down policy, equals to the number of days, divided by 100, from the\n\nday that the economy discloses the first COVID-19 case to the day that the government first announces\ntheir domestic closedown policy, which include school closing, workplace closing, public events\ncancelling, restrictions on gatherings, public transport closing, stay at home requirement and restrictions\non internal movement. Lower number indicates prompt government response. Calculated based on the\ndataset constructed by Hale et al. (2020).\n\n\n\nThe number of confirmed COVID-19 cases per 1,000 residents. Calculated based on original coronavirus data\n\nfrom Johns Hopkins Coronavirus Resource Center. Updated to November 19, 2020. In regressions, we\nuse _Log (1+Cases per 1000 residents)_ as the dependent variable.\n\n\n\nTotal pandemic deaths divided by total confirmed COVID-19 cases. Calculated based on original coronavirus\n\ndata from Johns Hopkins Coronavirus Resource Center. Updated to November 19, 2020.\n\n\n\nDelay in controlling the international travel, equals to the number of days, divided by 100, from the day that\n\nthe economy discloses the first COVID-19 case to the day that the government first announces the policy\nto restrict the international travel. Lower number indicates prompt government response. Calculated based\non the dataset constructed by Hale et al. (2020).\n\n\n\nAvg Temperature Average temperature since the month COVID-19 arrived to November, divided by 100.\n\nMiddle (Top)\n\nThe distance of the country or special region to China is in the middle (top) tercile in the distance to China.\nDistance2China\n\nLongitude, Latitude Geographic coordinate, divided by 100.\n\n<u>GDP per capita</u\n\nMention: \"Johns Hopkins Coronavirus Resource Center\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Coronavirus case and death data supply pandemic measures used to construct cases-per-capita and mortality outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002299:23:1", "occurrence_id": "136abfd77a9d8328a52dc4cb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _ <sup>_<u>TB</u>_</sup> <sup>(</sup> <sup>_t_</sup> _c_ <sup>_∗, tu_</sup> <sup>(</sup> <sup>_t∗_</sup> _c_ <sup>)) =</sup>\n\n1, i.e., the targeting benefit just offsets the exclusion cost. In order to determine the op\ntimal CCT, we need to observe income and price effects at all values of the transfer\n\nschedule ( _tc, tu_ ), not just at the observed schedule.\n\n\n#### V Estimating Income and Price Effects in Rural Mexico at the time of Progresa\n\nThe remainder of the paper will focus on estimating the importance of the targeting\n\nbenefit in the context of Progresa, a large CCT program in rural Mexico. In this section,\n\nwe will focus on estimating the quantities necessary to recover curvature of utility - the\n\nincome and price effect schedules - using evaluation data from Progresa. We will assume\n_<u>c</u>_ <sup>1</sup> <sup>_−γ_</sup>\nthat the utility function is CRRA ( _u_ ( _c_ ) = 1 _−γ_ <sup>)</sup> <sup>and,</sup> <sup>therefore,</sup> <sup>will</sup> <sup>use</sup> <sup>the</sup> <sup>average</sup>\n\nratio of income to price effects to pin down the CRRA coefficient _γ_ (see Equation (\n\nMention: \"Progresa\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Progresa evaluation data are used to estimate income and price effects for recovering utility curvature in a rural conditional-cash-transfer setting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002327:18:0", "occurrence_id": "15eb7e58deda28573d80bb9f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: correspondence between the policy data and the trade data. To measure policies that inhibit the free\nflow of data across borders, we use ECIPE’s **Digital Trade Restrictiveness Index (DTRI)** as developed by\nFerracane et al. (2018). Specifically, we use the component of that database that captures restrictions on\ncross-border data flows in the importing country.\n\nMoving towards more general measures of governance, we first take in the **World Bank’s Regulatory**\n**Governance** data. Specifically, we use the overall regulatory governance score based on the various\ncomponents identified by the World Bank, again for the importing country. We also use data from the\n**Doing Business** project, specifically their index measures of the ease of doing business in three areas:\n**investor protection, contract enforcement,** and **resolution of insolvency**, all for the importing country. <sup>14</sup> [^14: We have also run our preferred regression specification with Doing Business data on ease of paying taxes, as an\nadditional factor that could plausibly affect cross-border trade in services. However, results are qualitatively\nunchanged. We therefore report the simpler version with fewer sub-variables here.]\nAgain, we cannot enter the measures individually in the regressions as they are strongly correlated. We\ntherefore take a simple average to produce a single measure of the business environment, as we believe\nit is relevant to TFiS. Finally, we use the **regulatory quality** and **government effectiveness** indices from\nthe **World Bank’s Worldwide Governance Indicators**, all for the importing country. For similar reasons as\nthose previously mentioned, we take a simple average of the two indices and use the result as an\naggregate indicator of governance as we believe it might be relevant to TFiS.\n\n\nThe final element of the gravity model data set is a set of controls for geographical and historical linkages\nbetween countries, all of which\n\nMention: \"Digital Trade Restrictiveness Index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DTRI measures restrictions on cross-border data flows in importing countries and enters the trade-in-services model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002327:18:0", "occurrence_id": "87d3348b7bfc7eb82ea80ce7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: correspondence between the policy data and the trade data. To measure policies that inhibit the free\nflow of data across borders, we use ECIPE’s **Digital Trade Restrictiveness Index (DTRI)** as developed by\nFerracane et al. (2018). Specifically, we use the component of that database that captures restrictions on\ncross-border data flows in the importing country.\n\nMoving towards more general measures of governance, we first take in the **World Bank’s Regulatory**\n**Governance** data. Specifically, we use the overall regulatory governance score based on the various\ncomponents identified by the World Bank, again for the importing country. We also use data from the\n**Doing Business** project, specifically their index measures of the ease of doing business in three areas:\n**investor protection, contract enforcement,** and **resolution of insolvency**, all for the importing country. <sup>14</sup> [^14: We have also run our preferred regression specification with Doing Business data on ease of paying taxes, as an\nadditional factor that could plausibly affect cross-border trade in services. However, results are qualitatively\nunchanged. We therefore report the simpler version with fewer sub-variables here.]\nAgain, we cannot enter the measures individually in the regressions as they are strongly correlated. We\ntherefore take a simple average to produce a single measure of the business environment, as we believe\nit is relevant to TFiS. Finally, we use the **regulatory quality** and **government effectiveness** indices from\nthe **World Bank’s Worldwide Governance Indicators**, all for the importing country. For similar reasons as\nthose previously mentioned, we take a simple average of the two indices and use the result as an\naggregate indicator of governance as we believe it might be relevant to TFiS.\n\n\nThe final element of the gravity model data set is a set of controls for geographical and historical linkages\nbetween countries, all of which\n\nMention: \"Worldwide Governance Indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Worldwide Governance Indicators supply regulatory-quality and government-effectiveness measures aggregated for the trade model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002329:13:0", "occurrence_id": "829e4ca2c52b50f7d7f18bda", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **~~World − Regions~~**\n\n\n~~−11~~ ~~−9~~ ~~−8~~ ~~−7~~ ~~−6~~ ~~−5~~\n\n\n~~Total trade intensity~~\n\n\n\n**World − Income**\n\n\n~~−10~~ ~~−9~~ ~~−8~~ ~~−7~~\n\n\n~~Total trade intensity~~\n\n\n\n**Figure 3.** Logged and HP-filtered GDP correlation and total trade intensity between region groups (left\npanel) income groups (right panel).\n\n\n−0.5 0.0 0.5 1.0\n\n\nChange in Production Connectivity\n\n\n**Figure 4.** WDR 2020 team, based on World Bank’s World Development Indicators (database) and World\nIntegrated Trade Solution (database). Note: Each dot represents a pair of regions—for example, East\nAsia and Pacific and Sub-Saharan Africa, and Latin America and Caribbean and South Asia are two\ndifferent observations). The horizontal axis measures the change over time in production connectivity\ndefined as the total trade in intermediates as a share of GDP of both regions. The vertical axis measures\nthe proportional change in GDP correlation over time.\n\n\n12\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Development Indicators provide country and regional measures used in the figure's trade-intensity and GDP-correlation analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002329:13:0", "occurrence_id": "92c78f218bbacf46ab94c3af", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **~~World − Regions~~**\n\n\n~~−11~~ ~~−9~~ ~~−8~~ ~~−7~~ ~~−6~~ ~~−5~~\n\n\n~~Total trade intensity~~\n\n\n\n**World − Income**\n\n\n~~−10~~ ~~−9~~ ~~−8~~ ~~−7~~\n\n\n~~Total trade intensity~~\n\n\n\n**Figure 3.** Logged and HP-filtered GDP correlation and total trade intensity between region groups (left\npanel) income groups (right panel).\n\n\n−0.5 0.0 0.5 1.0\n\n\nChange in Production Connectivity\n\n\n**Figure 4.** WDR 2020 team, based on World Bank’s World Development Indicators (database) and World\nIntegrated Trade Solution (database). Note: Each dot represents a pair of regions—for example, East\nAsia and Pacific and Sub-Saharan Africa, and Latin America and Caribbean and South Asia are two\ndifferent observations). The horizontal axis measures the change over time in production connectivity\ndefined as the total trade in intermediates as a share of GDP of both regions. The vertical axis measures\nthe proportional change in GDP correlation over time.\n\n\n12\n\nMention: \"World\nIntegrated Trade Solution\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Integrated Trade Solution trade data support the cross-region production-connectivity measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002349:62:3", "occurrence_id": "acd2b5f7b6990612d3f5be11", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >827.19<br>P=0.0000|<br>0.641***<br>(22.82)<br>520.90<br>P=0.0000|<br>0.671***<br>(28.43)<br>808.31<br>P=0.0000|<br>-0.057<br>(-0.40)<br>617.09<br>P=0.0000|\n|Observations|1,742|1,742|1,742|1,530|\n\n\nData: Nigeria LSMS-ISA 2010\n\n\n61\n\nMention: \"Nigeria LSMS-ISA 2010\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Nigeria LSMS-ISA data underpin the regression estimates and household-level agricultural analysis shown in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002394:49:0", "occurrence_id": "26c61bf73b82a45ffee70884", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Appendix\n\n\nFigure A1. Schematic of the Terrain Ruggedness Calculation\n\n\nNote: This is Figure 1 in Nunn and Puga(2012). Starting from GTOP30 (U.S. Geological Survey, 1996),\n\na global elevation data set, in which elevations are regularly spaced at 30-arc seconds across the entire\n\nsurface of the earth. This figure represents 30-by-30 arc-second cell. Ruggedness calculation takes a\n\npoint on the earth’s surface like the solid circle at the center of the figure. The calculation takes 8 major\n\ndirection (North, northeast, east, southeast, south, southwest, west, and northwest). The ruggedness at\n\nthe central point of the figure is given by the sum of absolute value of line slope. More formally, let\n\n\n.\n\n𝑥𝑥𝑟𝑟,𝑐𝑐,𝑦𝑦𝑟𝑟,𝑐𝑐and 𝑧𝑧𝑟𝑟,𝑐𝑐 donate the X-axis, Y-axis and Z-axis of the point located at row r and column c. The\n\n𝑟𝑟+1 𝑐𝑐+1\n𝑖𝑖=𝑟𝑟−1 𝑗𝑗=𝑐𝑐−1\n𝑠 **𝑠** 𝑠 **𝑠** 𝑠𝑠𝑟𝑟,𝑐𝑐 can be calculated as ∑ ∑ (���𝑧𝑖𝑖,𝑗𝑗�/� ~~𝑥𝑖~~ 𝑥 𝑖 ~~,𝑗~~ 𝑗 <sup>~~2~~</sup> ~~+ 𝑦𝑖~~ 𝑦 𝑖 ~~,𝑗~~ 𝑗 <sup>~~2~~</sup> )\n\n\n\nthe central point of the figure is given by the sum of absolute value of line slope. More formally, let\n\n**𝑠** **𝑠** 𝑥 𝑖 𝑗 𝑦 𝑖 𝑗\n\n\n\n.\n\n𝑥𝑥𝑟𝑟,𝑐𝑐,𝑦𝑦𝑟𝑟,𝑐𝑐and 𝑧𝑧𝑟𝑟,𝑐𝑐\n\n𝑟𝑟+1 𝑐𝑐+1\n\nAs an example, according to the Food and Agriculture\n\nMention: \"GTOP30\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTOP30 elevation measurements are used to calculate terrain ruggedness from surrounding-cell slope differences.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002394:49:0", "occurrence_id": "c37461557b75395efc5e97d9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Appendix\n\n\nFigure A1. Schematic of the Terrain Ruggedness Calculation\n\n\nNote: This is Figure 1 in Nunn and Puga(2012). Starting from GTOP30 (U.S. Geological Survey, 1996),\n\na global elevation data set, in which elevations are regularly spaced at 30-arc seconds across the entire\n\nsurface of the earth. This figure represents 30-by-30 arc-second cell. Ruggedness calculation takes a\n\npoint on the earth’s surface like the solid circle at the center of the figure. The calculation takes 8 major\n\ndirection (North, northeast, east, southeast, south, southwest, west, and northwest). The ruggedness at\n\nthe central point of the figure is given by the sum of absolute value of line slope. More formally, let\n\n\n.\n\n𝑥𝑥𝑟𝑟,𝑐𝑐,𝑦𝑦𝑟𝑟,𝑐𝑐and 𝑧𝑧𝑟𝑟,𝑐𝑐 donate the X-axis, Y-axis and Z-axis of the point located at row r and column c. The\n\n𝑟𝑟+1 𝑐𝑐+1\n𝑖𝑖=𝑟𝑟−1 𝑗𝑗=𝑐𝑐−1\n𝑠 **𝑠** 𝑠 **𝑠** 𝑠𝑠𝑟𝑟,𝑐𝑐 can be calculated as ∑ ∑ (�𝑧𝑧𝑖𝑖,𝑗𝑗�/� ~~𝑥𝑖~~ 𝑥 𝑖 ~~,𝑗~~ 𝑗 <sup>~~2~~</sup> ~~+ 𝑦𝑖~~ 𝑦 𝑖 ~~,𝑗~~ 𝑗 <sup>~~2~~</sup> )\n\n\n\nthe central point of the figure is given by the sum of absolute value of line slope. More formally, let\n\n**𝑠** **𝑠** 𝑥 𝑖 𝑗 𝑦 𝑖 𝑗\n\n\n\n.\n\n𝑥𝑥𝑟𝑟,𝑐𝑐,𝑦𝑦𝑟𝑟,𝑐𝑐and 𝑧𝑧𝑟𝑟,𝑐𝑐\n\n𝑟𝑟+1 𝑐𝑐+1\n\nAs an example, according to the Food and Agriculture\n\nMention: \"global elevation data set\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The global elevation dataset provides regularly spaced 30-arc-second cells for terrain-ruggedness analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002459:24:0", "occurrence_id": "b3140ec4dc8689fe120f24ff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: interested reader may consult their chapter 3 for a detailed explanation of the equations.\n\n\nExcept for tariff data and the domestic tax data, the data employed to calibrate the model\n\n\ncome primarily from the GTAP database documented in Gehlhar et al. [1996]. We use the\n\n\npreliminary release of version 3 of this database, current as of May 1996. The 1 1-region version of\n\n\nthe model retains all the regions of the GTAP database that are directly relevant to our policy\n\n\nsimulations. The sectors were selected such that those in which significant reduction in distortions\n\n\noccurred are retained as individual sectors. This should minimize aggregation bias.\n\n\nIn appendix C we formally characterize the demand structure and elasticities which are\n\n\ncritical to the results. Demand is characterized by nested Constant Elasticity of Substitution (CES)\n\n\nutility functions for each agent, which allow multi-stage budgeting. Demand at the top level, for the\n\n\ncomposite \"Armington\" aggregate of each of the 24 goods in Table 1, is Cobb-Douglas. Consumers\n\n\nfirst choose how much of each Armington aggregate good to consume, like wheat, subject to\n\n\naggregate incomes and composite prices of the aggregate goods. The Armington aggregate good is\n\n\nin turn a CES composite of domestic production and aggregate imports. Consumers decide how\n\n\nmuch to spend on aggregate imports and the domestic good subject to the prior decision of how\n\n\nmuch income will be spent on this sector and preferences for aggregate imports and domestic goods\n\n\nreflected by the CES utility function. Finally, consumers decide how to allocate expenditures across\n\n\nimports from the 10 other regions based on their CES utility function for imports from different\n\n\nregions and income allocated to consumption on imports from the previous higher level decision.\n\n\nRelying on our a _priori_ beliefs as to plausible values for these elasticities, we generally\n\n\nassume that the lower-level elasticity of substitution between imports from different regions acM is\n\n\n30 and the higher-level elasticity between aggregate imports and domestic production **aDM** is 15. We\n\nMention: \"tariff data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Tariff data are an input to calibrating the model, although this passage does not identify their specific source.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002459:24:0", "occurrence_id": "010649ee39bfd422f7a2e4bc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: interested reader may consult their chapter 3 for a detailed explanation of the equations.\n\n\nExcept for tariff data and the domestic tax data, the data employed to calibrate the model\n\n\ncome primarily from the GTAP database documented in Gehlhar et al. [1996]. We use the\n\n\npreliminary release of version 3 of this database, current as of May 1996. The 1 1-region version of\n\n\nthe model retains all the regions of the GTAP database that are directly relevant to our policy\n\n\nsimulations. The sectors were selected such that those in which significant reduction in distortions\n\n\noccurred are retained as individual sectors. This should minimize aggregation bias.\n\n\nIn appendix C we formally characterize the demand structure and elasticities which are\n\n\ncritical to the results. Demand is characterized by nested Constant Elasticity of Substitution (CES)\n\n\nutility functions for each agent, which allow multi-stage budgeting. Demand at the top level, for the\n\n\ncomposite \"Armington\" aggregate of each of the 24 goods in Table 1, is Cobb-Douglas. Consumers\n\n\nfirst choose how much of each Armington aggregate good to consume, like wheat, subject to\n\n\naggregate incomes and composite prices of the aggregate goods. The Armington aggregate good is\n\n\nin turn a CES composite of domestic production and aggregate imports. Consumers decide how\n\n\nmuch to spend on aggregate imports and the domestic good subject to the prior decision of how\n\n\nmuch income will be spent on this sector and preferences for aggregate imports and domestic goods\n\n\nreflected by the CES utility function. Finally, consumers decide how to allocate expenditures across\n\n\nimports from the 10 other regions based on their CES utility function for imports from different\n\n\nregions and income allocated to consumption on imports from the previous higher level decision.\n\n\nRelying on our a _priori_ beliefs as to plausible values for these elasticities, we generally\n\n\nassume that the lower-level elasticity of substitution between imports from different regions acM is\n\n\n30 and the higher-level elasticity between aggregate imports and domestic production **aDM** is 15. We\n\nMention: \"domestic tax data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Domestic tax data are used with tariff data to calibrate the model; their provenance is not specified here.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002459:24:0", "occurrence_id": "e3546ad6209f89e3967e3bb3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: interested reader may consult their chapter 3 for a detailed explanation of the equations.\n\n\nExcept for tariff data and the domestic tax data, the data employed to calibrate the model\n\n\ncome primarily from the GTAP database documented in Gehlhar et al. [1996]. We use the\n\n\npreliminary release of version 3 of this database, current as of May 1996. The 1 1-region version of\n\n\nthe model retains all the regions of the GTAP database that are directly relevant to our policy\n\n\nsimulations. The sectors were selected such that those in which significant reduction in distortions\n\n\noccurred are retained as individual sectors. This should minimize aggregation bias.\n\n\nIn appendix C we formally characterize the demand structure and elasticities which are\n\n\ncritical to the results. Demand is characterized by nested Constant Elasticity of Substitution (CES)\n\n\nutility functions for each agent, which allow multi-stage budgeting. Demand at the top level, for the\n\n\ncomposite \"Armington\" aggregate of each of the 24 goods in Table 1, is Cobb-Douglas. Consumers\n\n\nfirst choose how much of each Armington aggregate good to consume, like wheat, subject to\n\n\naggregate incomes and composite prices of the aggregate goods. The Armington aggregate good is\n\n\nin turn a CES composite of domestic production and aggregate imports. Consumers decide how\n\n\nmuch to spend on aggregate imports and the domestic good subject to the prior decision of how\n\n\nmuch income will be spent on this sector and preferences for aggregate imports and domestic goods\n\n\nreflected by the CES utility function. Finally, consumers decide how to allocate expenditures across\n\n\nimports from the 10 other regions based on their CES utility function for imports from different\n\n\nregions and income allocated to consumption on imports from the previous higher level decision.\n\n\nRelying on our a _priori_ beliefs as to plausible values for these elasticities, we generally\n\n\nassume that the lower-level elasticity of substitution between imports from different regions acM is\n\n\n30 and the higher-level elasticity between aggregate imports and domestic production **aDM** is 15. We\n\nMention: \"GTAP database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTAP database inputs calibrate the model's multi-region sectors and trade relationships.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002565:29:0", "occurrence_id": "50f4272ab83ccffcf06a15d1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: terms of wages and agricultural income. In summary, even if trade liberalization has\n\n\nproduced beneficial effects across all income groups, at the same time, income inequality\n\n\nhas risen as richer households have gained more both in absolute and percentage terms.\n\n\nSince trade liberalization favors particular endowments relative to others, and since those\n\n\nendowments are unlikely to be evenly across regions, figure 5.3 illustrates the welfare\n\neffects for each of the 32 Mexican states. <sup>33</sup> [^33: ENIGH data is not collected to be representative at the state level. To produce welfare aggregate at the\nregional and state level in this paper the average level of expenditure and income shares by state are\nassumed to reflect those of the underlying population.]\n\n\nAll the states have benefited from the trade liberalization process of the 1990s, but to\n\n\ndifferent degrees. The states that have benefited the most from trade liberalization are the\n\n\nones near the United States border, especially the states close to the California border.\n\n\nWhile regions closer to the Texas border have also greatly benefited, but to a slightly\n\n\nlesser extent. Large beneficiaries are also some of the states in the northern region, such\n\n\nas Aguascalientes, Durango, San Luis Potosi and Nayarit. Virtually all of the states in the\n\n\ncentral region, with the exception of those immediately surrounding Mexico City, have\n\n\nexperienced a welfare gain between 2 and 4 percent, while the urban area of Mexico City\n\n\ngained around 4.5 percent. Finally, trade liberalization has produced the most modest\n\n\ngains for southern states, where welfare effects are in most cases lower than 2 percent.\n\n\nThe results of equation (5.1) produces welfare changes for each household, hence a\n\n\nfurther way to explore the results is to examine if some particular class of households\n\n\nmay have benefited more or less from trade liberalization. To do so, the percentage gains\n\n\nor losses of each household are regressed on a series of variables. The estimation takes\n\n\nthe form:\n\n\n_dvh_ = β _X_ _h_ +γ _Ch_ + (ψ\n\nMention: \"ENIGH data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ENIGH household income and expenditure data are used to estimate state-level welfare effects of trade liberalization.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002573:33:0", "occurrence_id": "4ecdc1a8f477346496b5f638", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ## **Annex II Catastrophe Reinsurance Pricing Volatility**\n\n(1984 = 1.00)\n\n\nSource: Congressional Budget Office based on data from Paragon Reinsurance Risk Management Services.\n\n\n34\n\nMention: \"Paragon Reinsurance Risk Management Services\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Paragon reinsurance data underpin the catastrophe-reinsurance pricing-volatility series presented in the appendix.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002597:13:0", "occurrence_id": "136197dad4372760b60bb9f9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **3.13 Growth Scenario in the Long Term**\n\nEmpirical research has highlighted the role of the income gap and the level of education in\nthe convergence process. Using a methodology developed by Benhabib and Spiegel (1994)\nand already used by Doyle et al. (2001) for a panel of transition economies, we can estimate\nLatvia’s TFP growth rate for the next decade. At the steady state, Latvia’s capital output\nratio will remain constant. As a result, per capita GDP growth at the steady state will be TFP\ngrowth over the labor share plus changes in the quality of the labor force. Projected TFP\ngrowth is presented in Table 2 below.\n\n\n**<u>Table 2: Projected TFP Growth Rates for the Baltic Countries</u>**\n\n\n\n\n\n\n\n|Col1|Average years of<br>schooling|Gap with US|Projected TFP growth|Labor force growth<br>1999-2010 average|\n|---|---|---|---|---|\n|Lithuania|12|4.6|4.2|0.2|\n|**Latvia**|**12**|**4.6**|**4.5**|**-0.4**|\n|Estonia|13|3.2|3.4|-0.2|\n|Poland|9.5|3.8|3.0|0.2|\n\n\nSources: Calculations using the equation from Benhabib and Spiegel (1994), which is: [. _0007*Schooling*Gap + .0014*Gap_ ].\n<u>Gap is the ratio of the US per capita GDP to that of the country concerned in 2000 at current international prices from the World Bank</u>\nDevelopment Indicators.\n\nMention: \"Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"World Bank Development Indicators GDP-per-capita data provide an input to the Baltic-country TFP growth calculation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002617:0:0", "occurrence_id": "91f41647f628c5d62793bd40", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: # WPS3335\n\n## **Productivity and the Investment Climate: What Matters Most?**\n\nFabiano Bastos and John Nasir\n\n\n**Abstract**\n\n\nThis paper explores the links between the investment climate and firm-level productivity\nand attempts to identify which dimensions of the investment climate matter most for\nproductivity. The analysis is based on data collected in a recent Investment Climate\nsurvey of garment and food processing firms across five countries in Eastern Europe and\nCentral Asia. The paper uses the first principal components of a series of indicators to\nsummarize broad aspects of the investment climate and identify those most important in\ndetermining productivity. The results indicate that competitive pressure is the most\ncritical factor in the investment climate, accounting for more variation in firm-level\nproductivity than infrastructure provision or issues related to government rent seeking\nand bureaucratic burden. This suggests that to improve productivity, increase output, and\nreduce poverty, policymakers should focus reform efforts on removing barriers to entry\nand creating open, highly competitive markets.\n\nWorld Bank Policy Research Working Paper 3335, June 2004\n\n_The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the_\n_exchange of ideas about development issues. An objective of the series is to get the findings out quickly,_\n_even if the presentations are less than fully polished. The papers carry the names of the authors and should_\n_be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely_\n_those of the authors. They do not necessarily represent the view of the World Bank, its Executive Directors,_\n_or the countries they represent. Policy Research Working Papers are available online at_\n_http://econ.worldbank.org._\n\n\n1\n\nMention: \"Investment Climate\nsurvey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Firm survey data support analysis of how investment-climate conditions relate to firm-level productivity across five countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002627:18:1", "occurrence_id": "8c348c76847448b1baeb8010", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  harmonization of\nstandards, application of new standards for hazards formerly unregulated and (perhaps\nmost significantly) substantially increased capacities for inspection/enforcement. With\nregard to the U.S., between 2001 and 2003 there was a six-fold increase in the number of\nproduct inspections undertaken by the FDA in the United States, in part due to\nheightened concern about bioterrorism. <sup>26</sup> [^26: Between 2002 and 2003 the number of ports where the FDA has assigned inspection staff increased from 40 to 90.\nOver this period, a $96 million increase in the FDA’s budget for food security work enabled it to hire 655 new field\npersonnel. In the Bush Administration’s proposed 2005 budget the FDA would receive a 9 percent increase in\nfunding to expand its ‘food defense” program. The fiscal 2005 budget calls for 97,000 import inspections, a figure\nwhich is seven times that undertaken in 2001. Similarly large increases were proposed for the Department of\nAgriculture’s work on food safety.]\n\n  - _Product concentration_ : In both cases the vast majority of detentions/rejections occurred\nfor a few product categories, namely fish/crustaceans, meat products and fruits and\nvegetables. For the European Union, there was also a high incidence of rejections for\nnuts, while for the United States there were many rejections of low-acid canned foods. In\nboth cases, fish products experienced the highest incidence of rejections. For example,\nfish accounted for 35 percent of all rejections in 2002. There were comparatively very\n\n24 Data for the United States can be found at www.fda.gov/ora/oasis/ora_oasis_ref.html, and for the European Union\nat www.europa.eu.int/comm/food/fs/sfp/ras_index_en.html.\n25 The FDA data exclude certain agricultural and food products for which the FDA has no jurisdiction, most notably\nmeat and poultry. Until 2002 these data referred to border detentions regardless of whether the product was\neventually permitted to enter\n\nMention: \"FDA data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"FDA inspection and detention records are used to quantify product-safety enforcement and rejection patterns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002680:40:0", "occurrence_id": "90f4b9cb1487a33bc004a939", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 5.26 In the first variation, the existing provincial allocations of resources under the\nTariff Compensation Fund are respected. However, all of the resources are devoted to\nfinancing the subsistence consumption of those households identified as eligible by the\nmulti-dimensional poverty proxy. The resulting concentration coefficient is –0.22\nindicating a reasonably progressive outcome. The errors of inclusion and exclusion come\nto 41% and 31% respectively. Nevertheless, the fact that the existing pattern of resource\nallocation does not reflect the geographical distribution of the poor in Argentina, means\nthat the percentage discount that could be financed under this simulation varies\ndramatically across jurisdictions, ranging from 2% (Buenos Aires Province) to 389% (in\nsome of the smaller provinces such as Rio Negro), with a provincial average of 74%.\n\n\n5.27 In the second variation, the current provincial allocations of Tariff Compensation\nFund resources are adjusted to make them proportional to the number of poor households\nin each Province (recall Figure 8). This adjustment barely affects the concentration\ncoefficient associated with the simulation, since exactly the same poor households are\nbenefiting in each case. However, it serves to reduce the variation in the percentage\ndiscount that can be offered across jurisdictions. Thus, poor households in the Buenos\nAires Province would receive a discount of 14%, while those in the smaller provinces of\nthe interior would receive a discount of 11%. At a national level, the average discount\nacross provinces comes to 25%. Therefore, the overall effect of this change is to\nredistribute resources from the long-standing poor of the interior to the ‘new poor’ in the\nMetropolitan Area. A more detailed analysis of the effects of this geographical\nredistribution of resources can be found in Table A6 of the Annex.\n\n\n**Figure 18: Simulation of alternative social policies for electricity**\n\n\n\n\n\n\n\n\n\n_Source:_ OPSM Survey, May 2002\n\n\n**Gas**\n\n\n5.28 In the case of the gas sector, three alternative uses\n\nMention: \"OPSM Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"OPSM survey evidence informs simulated electricity-support benefits and household welfare effects across Argentine provinces.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002726:3:0", "occurrence_id": "b6b035c595aacea365cf381b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: household and neighborhood level on children’s nutritional status, controlling for the effects\n\n\nof important determinants of nutritional status identified in the literature. Data from the 2000\n\n\nEthiopia Demographic and Health Survey (DHS) are used for the analysis, which estimates\n\n\nthe probability of children being stunted and underweight.\n\n\nThe paper is structured as follows. Section 2 describes the Ethiopia DHS dataset used\n\n\nfor the analysis. Section 3 focuses on the problem of malnutrition in Ethiopia and provides\n\n\nsome statistics on the demographic and geographical characteristics of the surveyed\n\n\npopulation. Section 4 introduces the theoretical framework adopted for the analysis, which\n\n\nfollows Alderman, Hentschel, and Sabates (2002), and the empirical strategy employed.\n\n\nSection 5 discusses the econometric specification of the model and the econometric issues that\n\n\narise in the estimation of the specified model. Section 6 presents the results of the analysis.\n\n\nSection 7 concludes.\n\n\n**2. The Ethiopia Survey**\n\n\nThe 2000 Ethiopia DHS is a comprehensive, nationally representative population and\n\nhealth survey conducted in Ethiopia. <sup>2</sup> [^2: The information concerning the survey described in this section comes from the _Ethiopia Demographic and_\n_Health Survey 2000_ report produced by the Central Statistical Authority and ORC Macro.] The survey interviewed 15,367 women between 15 and\n\n\n49 years of age to collect information regarding fertility and family planning behavior, child\n\n\nmortality, children’s nutritional status, the utilization of maternal and child health services,\n\n\nand knowledge of HIV/AIDS and STDs. The survey was carried by the Central Statistical\n\n\nAuthority (CSA), with technical assistance provided by ORC Macro as a part of its\n\n\nMEASURE DHS+ project. The survey took place between February and May 2000,\n\n\nfollowing the harvesting season of the main Meher crops, maize and sorghum, which account\n\n\nfor 90 to 95 percent of total cereal production.\n\n\nA two-stage sampling procedure was adopted, using the 1994 Population and Housing\n\n\nCensus as the sampling frame. In the first stage, 540 enumeration areas (EA)—139 in urban\n\nMention: \"2000\n\n\nEthiopia Demographic and Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The 2000 Ethiopia DHS supplies child health and household data for estimating stunting and underweight risks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002726:3:0", "occurrence_id": "18e06500ffe09ad01e6cc988", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: household and neighborhood level on children’s nutritional status, controlling for the effects\n\n\nof important determinants of nutritional status identified in the literature. Data from the 2000\n\n\nEthiopia Demographic and Health Survey (DHS) are used for the analysis, which estimates\n\n\nthe probability of children being stunted and underweight.\n\n\nThe paper is structured as follows. Section 2 describes the Ethiopia DHS dataset used\n\n\nfor the analysis. Section 3 focuses on the problem of malnutrition in Ethiopia and provides\n\n\nsome statistics on the demographic and geographical characteristics of the surveyed\n\n\npopulation. Section 4 introduces the theoretical framework adopted for the analysis, which\n\n\nfollows Alderman, Hentschel, and Sabates (2002), and the empirical strategy employed.\n\n\nSection 5 discusses the econometric specification of the model and the econometric issues that\n\n\narise in the estimation of the specified model. Section 6 presents the results of the analysis.\n\n\nSection 7 concludes.\n\n\n**2. The Ethiopia Survey**\n\n\nThe 2000 Ethiopia DHS is a comprehensive, nationally representative population and\n\nhealth survey conducted in Ethiopia. <sup>2</sup> [^2: The information concerning the survey described in this section comes from the _Ethiopia Demographic and_\n_Health Survey 2000_ report produced by the Central Statistical Authority and ORC Macro.] The survey interviewed 15,367 women between 15 and\n\n\n49 years of age to collect information regarding fertility and family planning behavior, child\n\n\nmortality, children’s nutritional status, the utilization of maternal and child health services,\n\n\nand knowledge of HIV/AIDS and STDs. The survey was carried by the Central Statistical\n\n\nAuthority (CSA), with technical assistance provided by ORC Macro as a part of its\n\n\nMEASURE DHS+ project. The survey took place between February and May 2000,\n\n\nfollowing the harvesting season of the main Meher crops, maize and sorghum, which account\n\n\nfor 90 to 95 percent of total cereal production.\n\n\nA two-stage sampling procedure was adopted, using the 1994 Population and Housing\n\n\nCensus as the sampling frame. In the first stage, 540 enumeration areas (EA)—139 in urban\n\nMention: \"Ethiopia DHS dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The Ethiopia DHS dataset is the study's survey source for analyzing child nutrition and related household characteristics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002726:3:0", "occurrence_id": "4f7046c068b4af1ffacbf180", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: household and neighborhood level on children’s nutritional status, controlling for the effects\n\n\nof important determinants of nutritional status identified in the literature. Data from the 2000\n\n\nEthiopia Demographic and Health Survey (DHS) are used for the analysis, which estimates\n\n\nthe probability of children being stunted and underweight.\n\n\nThe paper is structured as follows. Section 2 describes the Ethiopia DHS dataset used\n\n\nfor the analysis. Section 3 focuses on the problem of malnutrition in Ethiopia and provides\n\n\nsome statistics on the demographic and geographical characteristics of the surveyed\n\n\npopulation. Section 4 introduces the theoretical framework adopted for the analysis, which\n\n\nfollows Alderman, Hentschel, and Sabates (2002), and the empirical strategy employed.\n\n\nSection 5 discusses the econometric specification of the model and the econometric issues that\n\n\narise in the estimation of the specified model. Section 6 presents the results of the analysis.\n\n\nSection 7 concludes.\n\n\n**2. The Ethiopia Survey**\n\n\nThe 2000 Ethiopia DHS is a comprehensive, nationally representative population and\n\nhealth survey conducted in Ethiopia. <sup>2</sup> [^2: The information concerning the survey described in this section comes from the _Ethiopia Demographic and_\n_Health Survey 2000_ report produced by the Central Statistical Authority and ORC Macro.] The survey interviewed 15,367 women between 15 and\n\n\n49 years of age to collect information regarding fertility and family planning behavior, child\n\n\nmortality, children’s nutritional status, the utilization of maternal and child health services,\n\n\nand knowledge of HIV/AIDS and STDs. The survey was carried by the Central Statistical\n\n\nAuthority (CSA), with technical assistance provided by ORC Macro as a part of its\n\n\nMEASURE DHS+ project. The survey took place between February and May 2000,\n\n\nfollowing the harvesting season of the main Meher crops, maize and sorghum, which account\n\n\nfor 90 to 95 percent of total cereal production.\n\n\nA two-stage sampling procedure was adopted, using the 1994 Population and Housing\n\n\nCensus as the sampling frame. In the first stage, 540 enumeration areas (EA)—139 in urban\n\nMention: \"2000 Ethiopia DHS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The 2000 Ethiopia DHS provides nationally representative population and health measures used in the study.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002726:3:0", "occurrence_id": "dfa9538f7558e1999e445d6b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: household and neighborhood level on children’s nutritional status, controlling for the effects\n\n\nof important determinants of nutritional status identified in the literature. Data from the 2000\n\n\nEthiopia Demographic and Health Survey (DHS) are used for the analysis, which estimates\n\n\nthe probability of children being stunted and underweight.\n\n\nThe paper is structured as follows. Section 2 describes the Ethiopia DHS dataset used\n\n\nfor the analysis. Section 3 focuses on the problem of malnutrition in Ethiopia and provides\n\n\nsome statistics on the demographic and geographical characteristics of the surveyed\n\n\npopulation. Section 4 introduces the theoretical framework adopted for the analysis, which\n\n\nfollows Alderman, Hentschel, and Sabates (2002), and the empirical strategy employed.\n\n\nSection 5 discusses the econometric specification of the model and the econometric issues that\n\n\narise in the estimation of the specified model. Section 6 presents the results of the analysis.\n\n\nSection 7 concludes.\n\n\n**2. The Ethiopia Survey**\n\n\nThe 2000 Ethiopia DHS is a comprehensive, nationally representative population and\n\nhealth survey conducted in Ethiopia. <sup>2</sup> [^2: The information concerning the survey described in this section comes from the _Ethiopia Demographic and_\n_Health Survey 2000_ report produced by the Central Statistical Authority and ORC Macro.] The survey interviewed 15,367 women between 15 and\n\n\n49 years of age to collect information regarding fertility and family planning behavior, child\n\n\nmortality, children’s nutritional status, the utilization of maternal and child health services,\n\n\nand knowledge of HIV/AIDS and STDs. The survey was carried by the Central Statistical\n\n\nAuthority (CSA), with technical assistance provided by ORC Macro as a part of its\n\n\nMEASURE DHS+ project. The survey took place between February and May 2000,\n\n\nfollowing the harvesting season of the main Meher crops, maize and sorghum, which account\n\n\nfor 90 to 95 percent of total cereal production.\n\n\nA two-stage sampling procedure was adopted, using the 1994 Population and Housing\n\n\nCensus as the sampling frame. In the first stage, 540 enumeration areas (EA)—139 in urban\n\nMention: \"1994 Population and Housing\n\n\nCensus\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The 1994 census provides the sampling frame used to select enumeration areas for the DHS.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002734:80:1", "occurrence_id": "873b411edb1fc2e59ec1d0b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  <u>7.1</u>\nSource: Tokyo Metropolitan Government, Bureau of Taxation.\n\n\nTable 7: Percent Shares of Industrial R&D investment by Industry and Universities & Public Research\n\n\nInstitutes, 1999\n\n\n\nTotal National\n<u>Spending on R&D</u>\n\n\n\nGovernment’s\nAssistance to Industry\n\n\n\n<u>Industry</u> <u>Institutes & Others</u> <u>Spending on R&D</u> <u>R&D in GDP</u>\n\n\nJapan 73.1 26.9 100 0.07\nUSA 71.6 28.4 100 0.27\nGermany 66.2 33.8 100 0.135\nUK 53.9 46.1 100 0.135\n<u>France</u> <u>53.4</u> <u>46.6</u> <u>100</u> <u>0.135</u>\nSource: OECD, Basic Science and Technology Statistics.\n\n\n\n<u>Industry</u>\n\n\n\nUniversities, Public\n\n<u>Institutes & Others</u>\n\n\n\n79\n\nMention: \"OECD, Basic Science and Technology Statistics\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"OECD science-and-technology statistics provide cross-country R&D spending shares for comparing industry and public-research contributions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002742:28:1", "occurrence_id": "c479d0b9d63b94ec63299265", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the SHGs. Financial\nexpenses are interest paid on loans and savings deposits. To calculate financial selfsufficiency, adjustments were made for the effect of inflation on general reserves and for the\ncost of funds. Interest rate charged by Basix, a private MFO, on their loans to SHGs (15\npercent) is used as market cost of funds for general loans.  Adjustment is not made for\nhousing loans because the interest rates are comparable to that of housing loans available to\nother intermediaries such as housing societies.\n\n\nThe operational self-sufficiency of the SHGs indicates the percentage of operational\ncosts of SHGs met by its operational income. However, the estimates for SHGs only\nindicate the combined profitability of all SHGs. They do not indicate profitability of\nindividual SHGs or what proportion of SHGs associated with a federation is profitable. The\nanalysis for SHGs in SPMS is done for one year only due to data limitations.\n\n\n                         - 29\n\nMention: \"SPMS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SPMS data support analysis of self-help-group self-sufficiency and combined operational profitability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002757:2:1", "occurrence_id": "815cb062831425602295d265", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: school reading performance, their\n\n\nkindergarten attendance, school starting age, language spoken at home, immigration status,\n\n\nparental education, occupation and income and rural versus urban location, among several\n\n\nothers. The school features include class size, instruction time, proxies for the material\n\n\nendowment of the classroom, teacher characteristics including gender, education, recent\n\n\ntraining participation and experience, testing policies, curriculum determination, class\n\n\nformation rules and length of students’ staying with the same teacher, among others.\n\n\n2 The only countries that performed lower were Iran, Kuwait, Morocco and Belize.\n\n3 At the secondary level, Colombia participated in the 1995 TIMSS study, where it ranked 40 <sup>th</sup> of 41\nparticipating countries both in math and in science, with only South Africa performing lower. Similarly,\nArgentina participated in the 2002 PISA study, ranking 35 <sup>th</sup> of 41 in reading, 34 <sup>th</sup> in math and 37 <sup>th</sup> in science,\nwith in each case at least half of the few lower-performing countries also being Latin American.\n\n\n2\n\nMention: \"TIMSS study\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"TIMSS performance rankings provide background evidence on Colombia's secondary-level math and science outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002757:2:1", "occurrence_id": "fcd3e0f9a1b6cfe43b4b34ea", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: school reading performance, their\n\n\nkindergarten attendance, school starting age, language spoken at home, immigration status,\n\n\nparental education, occupation and income and rural versus urban location, among several\n\n\nothers. The school features include class size, instruction time, proxies for the material\n\n\nendowment of the classroom, teacher characteristics including gender, education, recent\n\n\ntraining participation and experience, testing policies, curriculum determination, class\n\n\nformation rules and length of students’ staying with the same teacher, among others.\n\n\n2 The only countries that performed lower were Iran, Kuwait, Morocco and Belize.\n\n3 At the secondary level, Colombia participated in the 1995 TIMSS study, where it ranked 40 <sup>th</sup> of 41\nparticipating countries both in math and in science, with only South Africa performing lower. Similarly,\nArgentina participated in the 2002 PISA study, ranking 35 <sup>th</sup> of 41 in reading, 34 <sup>th</sup> in math and 37 <sup>th</sup> in science,\nwith in each case at least half of the few lower-performing countries also being Latin American.\n\n\n2\n\nMention: \"PISA study\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"PISA rankings provide background evidence on Argentina's secondary-level reading, math, and science outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002778:13:0", "occurrence_id": "94f2eb1bf6f496019e497cde", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: measure is intended to capture the cost of transporting intermediate inputs it may also, to\n\n\nsome extent, re fl ect local protectionism.\n\n\nThe importance of intermediate supplies from the rest of the world is proxied by trade\n\n\nweighted tariffs imposed by China on imported intermediate inputs, weighted by the I/O\n\n\ncoefficient aik, to re fl ect the fact that the relative importance of inputs varies by industry,\n\n\n\nSA_abroad <sup>i</sup> t <sup>=</sup>\n\n\n\nK\n\n\nk=1\n\n\n\n\naik ∗ tariffst <sup>k.</sup> (3.3)\n\n\n\nThe information on trade weighted tariffs on products corresponding to the I/O codes comes\n\n\nfrom the World Bank’s WITS database. It should be noted that many industries in China\n\n\nhave access to duty free intermediate inputs through duty drawbacks and hence would not\n\n\nbe affected by tariffs on intermediate inputs. Nonetheless, there are many industries that do\n\n\npay these tariffs and thus it is important to include this variable in the estimation. <sup>10</sup>\n\n\n3.4. Market Access\n\n\nWe construct two measures of market access to re fl ect that fi rms can supply other fi rms\n\n\nand households within their own province and in other provinces. The own market access\n\n\nmeasure is de fi ned as\n\n\n\n+ bi\n\n\n\n\n\n\n\nMA_own <sup>i</sup> p,t <sup>=</sup>\n\n\n\n\n- kK=1\n\n\n\n\nbik\n\n\n\n<u>p,t</u>\nY <sup>k</sup>\n\n\n\nYp,t <sup>k</sup>\n\n\n\nGDPp,t\nGDPCHINA,t\n\n\n\n∗ DISTpp <sup>−1,</sup> (3.4)\n\n\n\nCHINA,t\n\n\n\nwhere Yp,t <sup>k</sup>\n\nMention: \"the World Bank’s WITS database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"WITS tariff data provide trade-weighted measures of restrictions on imported intermediate inputs used in the China model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002814:13:0", "occurrence_id": "885e0cf8f2a0f84dbb8b67e3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: al. (1998) and construct variables identical to the ones used in their study, although we\n\n\nconstruct these variables at the firm level and they at the country-level. Cumulative\n\n\nvoting equals one if the charters allow shareholders to cast all of their votes for one\n\n\ncandidate standing for election to the board of directors, and zero otherwise. Proxy by\n\n\nmail equals one if the corporate charters or bylaws allow shareholders to submit their\n\n\nproxy vote to the firm by postal or electronic mail, and zero otherwise.\n\n\nWe supplement our corporate governance data with firm-level financial (balance\n\n\nsheet and income statement) and ownership data from Aspekt, Worldscope and\n\n\nAmadeus. <sup>6</sup> [^6: In the case that firm-level data was missing in the Aspekt database, we first tried to collect additional data\nfrom Worldscope, a database that includes financial statements of listed firms around the world. In the case\nthat the firm was not included in WorldScopre, we used Amadeus, a database published by Bureau Van\nDyke that includes financial statements for all registered listed and private firms in 35 European countries.] Our final sample of firms includes 224 publicly traded firms for which data is\n\n\navailable. The data are well distributed among the four Eastern European countries in\n\n\nour sample: 74 firms from the Czech Republic, 56 firms from Hungary, 56 firms from\n\n\nPoland, and 38 firms from the Slovak Republic.\n\n\nTable 1, Panel A, columns 2-3 show that there is large variation within and across\n\n\ncountries in the use of both governance provisions. Only 12% of companies have\n\n\nenacted proxy voting in their company’s charter, but over 39% of firms have enacted\n\n\ncumulative voting provision. Among the four countries studied, cumulative voting is\n\n\nmost prominent in Poland and the Slovak Republic, while proxy voting is found most\n\n\nfrequently in Hungary and Poland, while being virtually absent in the Czech Republic\n\n\nand totally absent in the Slovak Republic.\n\n\nPanel A, columns 4-6 show the distribution of firms over the “waves” of\n\n\nprivatization, beginning inlevel\n\nMention: \"Worldscope\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Worldscope firm financial statements supplement governance measures and provide balance-sheet and income data for the sample.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002814:13:0", "occurrence_id": "dc7688163c739d283311be11", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: al. (1998) and construct variables identical to the ones used in their study, although we\n\n\nconstruct these variables at the firm level and they at the country-level. Cumulative\n\n\nvoting equals one if the charters allow shareholders to cast all of their votes for one\n\n\ncandidate standing for election to the board of directors, and zero otherwise. Proxy by\n\n\nmail equals one if the corporate charters or bylaws allow shareholders to submit their\n\n\nproxy vote to the firm by postal or electronic mail, and zero otherwise.\n\n\nWe supplement our corporate governance data with firm-level financial (balance\n\n\nsheet and income statement) and ownership data from Aspekt, Worldscope and\n\n\nAmadeus. <sup>6</sup> [^6: In the case that firm-level data was missing in the Aspekt database, we first tried to collect additional data\nfrom Worldscope, a database that includes financial statements of listed firms around the world. In the case\nthat the firm was not included in WorldScopre, we used Amadeus, a database published by Bureau Van\nDyke that includes financial statements for all registered listed and private firms in 35 European countries.] Our final sample of firms includes 224 publicly traded firms for which data is\n\n\navailable. The data are well distributed among the four Eastern European countries in\n\n\nour sample: 74 firms from the Czech Republic, 56 firms from Hungary, 56 firms from\n\n\nPoland, and 38 firms from the Slovak Republic.\n\n\nTable 1, Panel A, columns 2-3 show that there is large variation within and across\n\n\ncountries in the use of both governance provisions. Only 12% of companies have\n\n\nenacted proxy voting in their company’s charter, but over 39% of firms have enacted\n\n\ncumulative voting provision. Among the four countries studied, cumulative voting is\n\n\nmost prominent in Poland and the Slovak Republic, while proxy voting is found most\n\n\nfrequently in Hungary and Poland, while being virtually absent in the Czech Republic\n\n\nand totally absent in the Slovak Republic.\n\n\nPanel A, columns 4-6 show the distribution of firms over the “waves” of\n\n\nprivatization, beginning inlevel\n\nMention: \"Amadeus\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Amadeus financial statements supplement firm-level governance, ownership, and financial measures for the sample.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002821:7:0", "occurrence_id": "a0860ac835ba4e2311215974", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: plentiful in the agricultural tariff schedules of many high-income, high-protection\n\n\ncountries), and the effects of agricultural tariff rate quotas. In addition, key trade policy\n\n\nchanges to the start of 2005 have been added, namely, the commitments associated with\n\n\naccession to WTO by such economies as China and Taiwan (China), the implementation\n\n\nof the last of the Uruguay Round commitments (most notably the abolition of quotas on\n\n\ntrade in textiles and clothing at the end of 2004), and the eastward enlargement of the\n\n\nEuropean Union from 15 to 25 members in April 2004.\n\n\nHence what distinguishes the present study from the above 2004 studies and other\n\n\nbooks with similar titles is that (a) its _ex ante_ analysis focuses on the core aspects of the\n\n\nJuly Framework Agreement from the viewpoint of agriculture and developing countries,\n\n\ntaking account also of what might happen to non-agricultural market access and the other\n\n\nnegotiating areas, and (b) it does so in an integrated way by using the new GTAP Version\n\n\n6 database (amended to account for key protection changes to early 2005) and the latest\n\n\nversion of the World Bank’s global, economy-wide Linkage model, details of which are\n\ndocumented in van der Mensbrugghe (2004). <sup>4</sup>\n\n\n**What questions are addressed in this study?**\n\n\nAmong the core questions addressed in this study, following an intense program\n\n\nof integrated research during the latter half of 2004 by a complementary set of well\n\ninformed scholars from four continents, are the following:\n\n  - What is at stake in this Doha round, in terms of efficiency gains foregone by the\n\n\nvarious regions of the world because of current tariffs and agricultural subsidies?\n\n\n4 This analysis is vastly more sophisticated than the _ex ante_ analyses undertaken for the Uruguay Round. At\n\n\nthat time there were very few economy -wide global models, so primary reliance was on partial equilibrium\n\n\nmodels of world food markets (see, e.\n\nMention: \"GTAP Version\n\n\n6 database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTAP Version 6 supplies the global, sectoral trade data used for the integrated policy simulations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002852:6:0", "occurrence_id": "425899500c7fa34d6313349f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: paid directly by non-bank financial institutions – such as money transfer companies, exchange\nbureaus, credit unions, post offices, etc -- are frequently not covered in balance of payment\nstatistics. <sup>3</sup> As shown in Table 2, in all 40 countries covered in the survey commercial banks\nparticipate in the payment of remittances. 90% of countries collect remittance data from\ncommercial banks. In 20 of 40 countries, exchange bureaus, credit unions, and other non-bank\nfinancial institutions pay remittances, but only 65% of those countries collect remittance data\nfrom those institutions. In 39 of 40 countries, money transfer companies pay remittances, but\nonly 38% of central banks collect data from them. Finally, in 26 of 40 countries post offices\npay remittances, but only in 35% of those countries remittance data is collected from post\noffices. <sup>4</sup>\n\n\n**Table 2. Central Banks' Sources of Data on Remittance Inflows**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Col1|Commercial<br>Banks|Exchange<br>bureaus and<br>other inst.|Money<br>Transfer<br>Companies|Post<br>Offices|\n|---|---|---|---|---|\n|**a. Countries where remittances**<br>**are paid by:**|40|20|39|26|\n|**b. Central banks that collect data**<br>**on remittance payments made**<br>**by:**|36|13|15|9|\n|**c. **<br>**Percent of central banks that**<br>**collect data from: (b / a)**|90%|65%|38%|35%|\n\n\nBecause not all countries\n\nMention: \"balance of payment\nstatistics\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Balance-of-payments statistics are discussed as an incomplete source for remittance flows paid by non-bank institutions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002877:2:1", "occurrence_id": "fc2a0d9205caa02d0e44cb19", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 4 = Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan.\n\n\nThere is also a distinct pattern in labor productivity performance. The CEE, South-East\n\n\nEuropean (SEE) and Baltic states register an increase in productivity, both overall and within\n\nservices (broadly defined to include government). <sup>2</sup> Conversely, for those other countries where\n\n\n1 See Figure 1 for the definition of country groups used in this paper.\n2 Output data is measured in constant 1995 US dollars, as reported in the World Development Indicators.\n\n\n3\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Development Indicators supply constant-1995-dollar output data used to measure labor productivity across country groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002932:5:4", "occurrence_id": "f56476245b46750f280c2a06", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |\n||||||||||\n||||||||||\n||||||||||\n||||||||||\n||||||||||\n||||||||||\n||||||||||\n||||||||||\n\n\n\nSource: IMF Balance of Payments Statistics; Note: -The “Business Services” category includes Total\nServices minus Transportation, Travel and Government Services. Alternatively, Business Services consist\nof: Communication, Construction, Insurance, Financial, Computer & info, Other business, Personal,\ncultural and recreational services, as well as Royalties and License fees.\n\nThe resulting occupational shifts in importing countries and the implied adjustment costs\nhave, however, raised the specter of protectionism. This specter may never materialize,\nbecause of the technical infeasibility of protection or the triumph of good sense. But it\nwould still be wise to preempt protectionism, to ensure that any adjustment pressures are\ndealt with through desirable domestic assistance rather than inefficient barriers to trade.\nAnd if the GATS cannot secure existing openness, then what hope is there of eliminating\nentrenched restrictions? Hence:\n\n\n  - Goal 1: _WTO Members would lock-in the current openness of cross-border trade_\n_for a wide range of services. Certain services, such as those that involve the_\n_mobility of capital, would be exempt._\n\n\n6\n\nMention: \"IMF Balance of Payments Statistics\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IMF balance-of-payments statistics supply service-trade flow data used in the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:002962:38:0", "occurrence_id": "f7dad8d4c7e30748fdc350ac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: expenditure data is significantly lower than gross income data, this alters the inequality levels\n\n\nbetween countries.\n\nThe use of fixed adjustments can help to render the DS series comparable to the LIS. If\n\n\nprovisions are made to adjust for income differences some of the divergences shown before\n\ndisappear. However, there is still an element of arbitrariness in the procedure. How much should we\n\n\nadjust the series? The countries average difference or the overall average? The decision of which\n\nfixed adjustment to apply affects the outcome and the resulting country rankings. Thus, the\n\n\nprevious results support the idea that mixing different income concepts can lead to misguiding\n\nconclusions and is an important limitation for inequality cross-country studies.\n\n\n**5.3** **Time trend differences**\n\n\nWhile the inclusion of fixed adjustments to the series addresses level-differences, it does not help\n\nwith time trends. In particular, when the time trend of series with different definitions is not the\n\n\nsame, mixing the series creates a whole new trend. In many cases, the use of a fixed adjustment does\n\nnot correct for this problem. Therefore, we proceed to compare the time-trend differences between\n\n\nour basic and extended series, with the DS accept series. To do so, we regress the Gini coefficient\n\nagainst time for those series that have five or more observations. We use two equations: <sup>30</sup> [^30: Given the small number of observation per country, we do not pursue a time series analysis.]\n\n\n_Gi_ = α 1 + α 2 _ti_ + ε _i_ (18)\n\n_Gi_ = β 1 + β 2 _ti_ + β 3 _ti_ 2 + ε _i_ (19)\n\n\nThe first regression tests for any linear time trends and the second for quadratic trends. To do a\n\n\nvalid comparison of our series with the DS-accept series we do not take into consideration\n\ninformation that was not available to DS (data after 1996 and studies published after this year). We\n\n\nlimit the analysis to the three main\n\nMention: \"LIS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"LIS income data are compared with other series to assess differences in inequality levels and trends.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003005:5:1", "occurrence_id": "ac75cf240555f3f084aae28a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  which includes information on basic data of the worker, educational\n\n\nlevel, job conditions, remunerations, training, and work history. Though the linked\n\n\nENESTYC-ENTRAM yields an employee-employer dataset with very rich information at\n\n\nthe worker level, it was not suitable for our analysis because the methodology in Section\n\n\nIV requires data for the entire workforce and the ENESTYC-ENTRAM only has only a\n\n\nsmall sample of workers by firm, especially for the larger firms, which would produce an\n\n\nincomplete characterization of the firms’ workforce. The excellent quality of the\n\n\nENESTYC and the detail of the information elicited allow us to estimate plant-level\n\n\n3 Such as use of different types of technology (manual equipment to robots) and ICT, including workplace\npractices.\n\n\n4\n\nMention: \"ENESTYC\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ENESTYC firm and worker information is analyzed to estimate plant-level productivity and characterize workforces.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003046:5:0", "occurrence_id": "aff0666b2ea72f6d74473b66", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: initially less developed in trade facilitation are assumed to make larger progress in absolute\n\n\nterms but we still keep the rankings across countries unchanged. Some ECA countries have\n\n\nfurther to go to reach best practice in regulatory reform or in port efficiency, for example,\n\n\nthan do others.\n\n## **Description of the Database**\n\n\nWe utilize the database in WMO (2004). <sup>5</sup> [^5: See annex 1 for a summary of the statistics and data sources of the four trade facilitation indicators.] Our measures indicate how far a country's\n\n\nperformance is from the best-practice country in each of the four trade facilitation\n\n\ndimensions. The best-practice country is indexed to a value of 1.0. Among the 75 sample\n\n\ncountries in 2001, Singapore is the best performer in port efficiency and Finland is the best\n\n\nperformer in the other three areas. For each country, the indicator \"Port Efficiency\" is an\n\naverage of the efficiency of the port facilities / inland waterways and air transport; <sup>6</sup> [^6: Due to the data constraint, we could not measure the efficiency of the port facilities and inland waterways\nseparately.] the\n\n\nindicator \"Customs Regimes\" captures the hidden import barriers other than published tariffs\n\n\nand quotas, and the irregular extra payments or bribes connected with import and export\n\n\npermits; the indicator \"Regulatory Policy\" is constructed as the average of the transparency of\n\n\ngovernment policy and the control of corruption; and the indicator \"Information Technology\n\n\nInfrastructure\" is measure of the speed and cost of internet access and the contribution of\n\n\ninternet to the reduction of the inventory cost.\n\n## **Cross-Country Comparisons in ECA**\n\n\nThe 15 EU member countries (EU15)—the members that existed prior to May 2004—\n\n\nare relatively advanced in all four areas, with an average value of 0.82, 0.87, 0.79, and 0.78 in\n\n\nport efficiency, customs regimes, regulatory policy, and information\n\nMention: \"WMO\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The WMO database provides country indicators used to compare trade-facilitation performance across port, customs, regulatory, and IT dimensions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003058:18:0", "occurrence_id": "73f2a7316d116b1186b77ded", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Demographic and Health Surveys in the same countries. The results of this analysis should\n\n\ntherefore be considered with caution.\n\n\nIn general males tend to initiate sexual activity later, with the exception of Kenya. It is\n\n\nin Burkina Faso that males tend to initiate sexual activity the latest, while it is in Cameroon\n\n\nthat the average age of sexual initiation is the lowest for females.\n\n\nMen in urban areas of Burkina Faso report having their first sexual experience later,\n\n\nbut the opposite is true in Tanzania. Females in Kenya start to have sex earlier in urban areas.\n\n\nCurrently married males report a later age of sexual debut in Burkina Faso and\n\n\nTanzania, but currently married women report the opposite in all countries except Burkina\n\n\nFaso. The same is true for formerly married women in Ghana, Kenya and Tanzania and for\n\n\nwidows in Cameroon and Ghana. It seems therefore that, for females, marriage does\n\n\ncorrespond with an earlier age of sexual debut. All individuals who have been in successive\n\n\nmarriages, except males in Burkina Faso, tend to have started their sexual activity earlier.\n\n\nThere might be reverse causality involved in this relationship since earlier marriage, and\n\n\nearlier sexual debut, might be associated with subsequent marital instability. Women in\n\n\npolygamous unions tend to have an earlier sexual debut in Burkina Faso and Kenya.\n\n\nEducation is always associated with a later sexual debut for females. This relationship\n\n\nmight also be affected by reverse causality since pregnancy frequently implies for a girl that\n\n\nshe has to drop out of school. Education is also positively associated with age of sexual debut\n\n\nfor males in Kenya and Tanzania, but educated males in Burkina Faso and Cameroon have\n\n\nearlier sexual experiences. Wealth is negatively associated with age at first sexual intercourse\n\n\nfor males in Burkina Faso, but positively associated with it for females in Ghana and Kenya\n\n\nand for both genders in Tanzania.\n\n\nRegarding the age at sexual initiation, Catholics and Protestants differ in similar\n\n\nfashion from Muslims: males in Cameroon and Ghana start earlier, females in Ghana also\n\n\nstart earlier, but females in Burkina Faso and Tanzania start\n\nMention: \"Demographic and Health Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Demographic and Health Survey data support cross-country analysis of sexual initiation patterns by sex, residence, education, and wealth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003062:9:0", "occurrence_id": "8111c9a5d70345bf3b84f8bc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: fiscal objective being met by changing the level of lump sum taxes on households. <sup>3</sup> This implies\n\n\nthat losses of tariff revenues are replaced by higher direct taxes on households. The current\n\naccount balance is fixed, primarily for convenience <sup>4</sup> in this recursive- model but also consistent\n\n\nwith the Feldstein-Horioka finding of limited international capital mobility (Feldstein and\n\n\nHorioka 1980; Ventura 2003). Finally, investment is driven by savings. With fixed public and\n\n\nforeign saving, investment is determined by changes in the savings behavior of households and\n\n\nchanges in the unit cost of investment. The model only solves for relative prices, with the\n\n\nnuméraire, or price anchor, being the export price index of manufactured exports from high\n\nincome countries.\n\n\nThe newest version of the LINKAGE model, Version 6.0, is based on the latest release of\n\n\nthe GTAP dataset, Release 6.05. Compared with Version 5 of the GTAP dataset, Version 6 has a\n\n\n2001 base year instead of 1997, updated national and trade data and, importantly, a new source\n\n\nfor the protection data (see <u>www.gtap.org</u> for details). The new protection data come from a joint\n\n\nCEPII (Paris)/ITC (Geneva) project. The product of this joint effort, known as MAcMaps, is a\n\n\nHS6 tariff level detailed database on bilateral protection that integrates trade preferences,\n\n\nspecific and compound tariffs and a partial evaluation of non-tariff barriers such as tariff rate\n\nquotas (TRQs). <sup>5</sup> The new GTAP database has lower tariffs than the previous database. This is\n\n\nbecause of the inclusion of bilateral trade preferences, as well as the major reforms between 1997\n\n\nand 2001 such as continued implementation of the Uruguay Round agreements, and China’s\n\n\nWTO accession\n\nMention: \"GTAP dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTAP Version 6 data calibrate the multi-region trade-policy model using updated protection data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003062:9:0", "occurrence_id": "6d0353d2a53bbc90b3f81126", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: fiscal objective being met by changing the level of lump sum taxes on households. <sup>3</sup> This implies\n\n\nthat losses of tariff revenues are replaced by higher direct taxes on households. The current\n\naccount balance is fixed, primarily for convenience <sup>4</sup> in this recursive- model but also consistent\n\n\nwith the Feldstein-Horioka finding of limited international capital mobility (Feldstein and\n\n\nHorioka 1980; Ventura 2003). Finally, investment is driven by savings. With fixed public and\n\n\nforeign saving, investment is determined by changes in the savings behavior of households and\n\n\nchanges in the unit cost of investment. The model only solves for relative prices, with the\n\n\nnuméraire, or price anchor, being the export price index of manufactured exports from high\n\nincome countries.\n\n\nThe newest version of the LINKAGE model, Version 6.0, is based on the latest release of\n\n\nthe GTAP dataset, Release 6.05. Compared with Version 5 of the GTAP dataset, Version 6 has a\n\n\n2001 base year instead of 1997, updated national and trade data and, importantly, a new source\n\n\nfor the protection data (see <u>www.gtap.org</u> for details). The new protection data come from a joint\n\n\nCEPII (Paris)/ITC (Geneva) project. The product of this joint effort, known as MAcMaps, is a\n\n\nHS6 tariff level detailed database on bilateral protection that integrates trade preferences,\n\n\nspecific and compound tariffs and a partial evaluation of non-tariff barriers such as tariff rate\n\nquotas (TRQs). <sup>5</sup> The new GTAP database has lower tariffs than the previous database. This is\n\n\nbecause of the inclusion of bilateral trade preferences, as well as the major reforms between 1997\n\n\nand 2001 such as continued implementation of the Uruguay Round agreements, and China’s\n\n\nWTO accession\n\nMention: \"MAcMaps\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"MAcMaps bilateral tariff and protection data update GTAP's representation of tariffs, preferences, and non-tariff barriers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003132:26:0", "occurrence_id": "5799a843ada134d79f413de3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 1 2 %\n\n\n1 0 %\n\n\n8 %\n\n\n6 %\n\n\n4 %\n\n\n2 %\n\n\n0 %\n\n\n\n_Figure 4.1 Yearly Rates of Return to Education Level, Mexico Urban Areas, 1988-2002_\n\n\n1 9 8 8 1 9 8 9 1 9 9 0 1 9 9 1 1 9 9 2 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2\n\n\nP r im a r y C           - m p le te L o w e r S e c o n d a r y C           - m p le te\nU p p e r S e c o n d a r y C          - m p le te T e r tia r y C          - m p le te\n\n\n\n_Note:_ The yearly rate of return represents the additional contribution to wages from an additional year of a certain level of education.\nAll the coefficients are statistically significant at the 5 per cent level and conditioned on age, squared age, gender, region (North,\nCenter, South, and Mexico City).\n\n\n_Source:_ Calculations using third quarter of the National Urban Employment Survey (ENEU) from 1988 to 2001 and third quarter and\nurban section of ENET 2002.\n\n\n27\n\nMention: \"National Urban Employment Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ENEU quarterly labor-force survey data support estimates of education-related wage returns in Mexico City.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003132:26:0", "occurrence_id": "d7ea86401f1466dd36589f41", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 1 2 %\n\n\n1 0 %\n\n\n8 %\n\n\n6 %\n\n\n4 %\n\n\n2 %\n\n\n0 %\n\n\n\n_Figure 4.1 Yearly Rates of Return to Education Level, Mexico Urban Areas, 1988-2002_\n\n\n1 9 8 8 1 9 8 9 1 9 9 0 1 9 9 1 1 9 9 2 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2\n\n\nP r im a r y C           - m p le te L o w e r S e c o n d a r y C           - m p le te\nU p p e r S e c o n d a r y C          - m p le te T e r tia r y C          - m p le te\n\n\n\n_Note:_ The yearly rate of return represents the additional contribution to wages from an additional year of a certain level of education.\nAll the coefficients are statistically significant at the 5 per cent level and conditioned on age, squared age, gender, region (North,\nCenter, South, and Mexico City).\n\n\n_Source:_ Calculations using third quarter of the National Urban Employment Survey (ENEU) from 1988 to 2001 and third quarter and\nurban section of ENET 2002.\n\n\n27\n\nMention: \"ENET 2002\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ENET 2002 urban survey data extend the education-return series for Mexico.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003139:25:1", "occurrence_id": "bc899f6cf7060c892ac11ef0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .076<br>0.905<br>1.105<br>0.971<br>1.078<br>0.892|\n\n\n\n**Table 16: Money’s Worth Ratios in Selected Countries**\n**<u>Computed with Cohort Annuitant Table and Risk-Free Rate</u>**\n\n|Col1|Australia Canada Switzerl. UK 1 UK UK 2 US 3<br>(James) (James) (James) (Cannon) (James) (Brown) (Brown)|\n|---|---|\n|**Nominal Annuities**<br>Male, Age 55<br>Male, Age 65<br>Female, Age 55<br>Female, Age 65<br>Joint<br>**Indexed Annuities**<br>Male, Age 55<br>Male, Age 65<br>Female, Age 55<br>Female, Age 65<br>Joint|<br> <br> <br> <br> <br> <br> <br> <br>- <br>- <br>- <br>- <br>- <br>0.921<br>0.934<br>1.013<br>0.981<br>1.046<br>- <br>0.977<br>0.908<br>0.927<br>- <br>- <br>- <br>- <br>- <br>0.928<br>0.937<br>1.002<br>0.976<br>1.036<br>- <br>0.979<br>0.907<br>0.927<br>0.988<br>0.980<\n\nMention: \"Cohort Annuitant Table\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Cohort annuitant-table inputs are used with risk-free rates to calculate money's-worth ratios for annuities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003150:2:2", "occurrence_id": "18daa91ea33525937d0ae248", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /pppdatabase/pppdatabase.htm). PSIRU, University of</u>\nGreenwich (UK), also maintains a database of PSP. The database is not publicly available (See <u>www.psiru.org</u> )\n4 For water, international coverage data for access to “improved water supply” and “improved sanitation” is collected\nby the WHO-UNICEF Joint Monitoring Programme using national sources, but it is updated irregularly as and when\nnational censuses are carried out. The WHO-UNICEF Joint Monitoring Program collects data on ‘access to\nimproved water supply’ and ‘access to improved sanitation’ for a large sample of countries. Cross-country data is\navailable for two years: 1990 and 2002. The figures are based on data collected in national surveys or censuses in\npreceding years. See http://www.wssinfo.org/en/welcome.html\n5 A distinctive characteristic of the water sector is that PSP contracts are often agreed at the local level in the absence\nof a national regulatory framework defined in law. Instead, a set of contracts is agreed on ad hoc basis that govern\nthe relationship between public authorities, state enterprises and the private sector. The details of these transactions\nare often not recorded systematically at the national level. The regulatory framework and agency are frequently\nbased on contractual provisions rather than primary legislation. In effect, the regulatory regime is specific to a city or\nregion. In these cases, it would be inaccurate to describe the _country_ as having an economic regulator for the water\nsector. This raises difficulties in establishing consistent categories for comparison as well as for data collection.\nComparing water once again to other infrastructure sectors, it is evident that structural reform of the sector and the\nestablishment of a regulatory agency is much rarer than in the telecoms and power sectors (Estache and Goicoechea\n2005)\n6 The Estache and Goicoechea review is a\n\nMention: \"international coverage data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"International water and sanitation coverage data provide cross-country access measures compiled from national surveys and censuses.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003150:2:2", "occurrence_id": "60f614dc567ad928d55b28cf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /pppdatabase/pppdatabase.htm). PSIRU, University of</u>\nGreenwich (UK), also maintains a database of PSP. The database is not publicly available (See <u>www.psiru.org</u> )\n4 For water, international coverage data for access to “improved water supply” and “improved sanitation” is collected\nby the WHO-UNICEF Joint Monitoring Programme using national sources, but it is updated irregularly as and when\nnational censuses are carried out. The WHO-UNICEF Joint Monitoring Program collects data on ‘access to\nimproved water supply’ and ‘access to improved sanitation’ for a large sample of countries. Cross-country data is\navailable for two years: 1990 and 2002. The figures are based on data collected in national surveys or censuses in\npreceding years. See http://www.wssinfo.org/en/welcome.html\n5 A distinctive characteristic of the water sector is that PSP contracts are often agreed at the local level in the absence\nof a national regulatory framework defined in law. Instead, a set of contracts is agreed on ad hoc basis that govern\nthe relationship between public authorities, state enterprises and the private sector. The details of these transactions\nare often not recorded systematically at the national level. The regulatory framework and agency are frequently\nbased on contractual provisions rather than primary legislation. In effect, the regulatory regime is specific to a city or\nregion. In these cases, it would be inaccurate to describe the _country_ as having an economic regulator for the water\nsector. This raises difficulties in establishing consistent categories for comparison as well as for data collection.\nComparing water once again to other infrastructure sectors, it is evident that structural reform of the sector and the\nestablishment of a regulatory agency is much rarer than in the telecoms and power sectors (Estache and Goicoechea\n2005)\n6 The Estache and Goicoechea review is a\n\nMention: \"WHO-UNICEF Joint Monitoring Programme\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"The Joint Monitoring Programme compiles country access indicators for improved water and sanitation from national sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003193:13:0", "occurrence_id": "ad9c3bb5edf582c1b3243149", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: substantially higher for middle-income households than either for the households in the\n\n\nbottom three or in the top decile of total per capita expenditures. However, these averages\n\n\nhide substantial variation by region. As shown in Table 4, rice production revenues\n\n\nconstitute the highest share of total income in the Northwest, North Central and South\n\nGanges Floodplain regions. <sup>4</sup> [^4: In terms of the share of total production value three regions with the highest rice shares are the Meghna\nFloodplain, Northwest and North Central regions, according to HIES 2000. The South Ganges region has a\nsomewhat lower share of rice in total production value (around 30 percent compared to between 43 and 51\npercent in the other three regions).]\n\n\n**<u>Table 4. Spatial Profile of Rural Poverty and Dependence on Agriculture.</u>**\n\n\n\nNorth\nwest\n\n\n\nSouth\nGanges\n\n<u>FPLN</u>\n\n\n\nNorth\nCentral\n\n\n\nMeghna\n\nFPLN\n\n\n\nEast\nHills\n\n\n\nCoastal\n\nArea\n\n\n\nHeadcount rates,\nUPL, 2000 (%) 63 61 49 49 47 37\nHeadcount rates,\nLPL, 2000 (%) 49 49 37 26 21 25\n_(percent of total household gross income)_\nAgricultural wage 22 18 15 10 11 14\nincome\n\nFarm income 27 28 22 14 13 18\nCrop production 24 22 18 11 11 13\nrevenues\n\n\n\nRice production\nrevenues\n\nNon-agricultural\n<u>income</u>\n\n\n\n17 13 14 9 9 10\n\n\n30 34 38 37 40 36\n\n\n\nNote: Poverty headcount rates are individually weighted, and income structure statistics are weighted using\nthe household weight. Agricultural income includes agricultural wages and production revenues. Nonagricultural income includes non-farm wage income and non-agricultural enterprise income. UPL denotes\nthe upper poverty line, and LPL denotes the lower poverty line as defined by the Bangladesh Bureau of\nStatistics and reported in World Bank (2002a).\nSource: HIES 2000, rural households.\n\nGiven the importance of rice in the income and consumption structure of\n\n\nBangladeshi households, in particular in the main regions of rice cultivation, a\n\n\nproductivity improvement and a\n\nMention: \"HIES 2000\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"HIES 2000 household data support rural poverty and agricultural-income estimates across Bangladeshi regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003231:10:0", "occurrence_id": "45aa609e53d46842e9a7b953", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: whereas our chosen counterfactuals measure the costs of smoking in terms of current\n\n\nlosses in productivity.\n\n\n**3.** **Data and descriptive statistics**\n\n\nThe data for our analysis come from the fourth round of Albania Living Standard\n\n\nMonitoring Survey (ALSMS) conducted in April-July 2005 by the Albanian Institute of\n\n\nStatistics with the technical support of the World Bank. The ALSMS uses a two-stage\n\n\nstratified clustered sample of 3640 households, and is representative at the national,\n\nurban, rural, and regional levels. <sup>8</sup> [^8: For further information on survey design and sample frame see: http://www.instat.gov.al/] The ALSMS collects information on the demographic\n\n\ncharacteristics of the household members, their labor market activities, education, heath\n\n\ncharacteristics, and the household’s access to social services. The questionnaire also\n\n\ngathers information on individual and household income and consumption expenditures\n\n\nas well as on ownership of assets. A special section of ALSMS collects information about\n\n\nindividual smoking behavior including: whether the respondent smokes on a daily basis\n\n\nor is an ex-smoker, age at which the respondent started smoking, number of cigarettes\n\n\nsmoked per day, and whether the respondent’s father and mother ever smoked.\n\n\nFor the purpose of the current analysis we restrict our sample to employed prime\n\nage adults 25 to 60 years of age. By the age of 25 most of the adults in Albania have\n\n\ncompleted their education and are actively involved in the labor market. An individual is\n\n\nconsidered to be employed if he had worked in a permanent job in the week preceding the\n\n\nsurvey or was temporary absent from his permanent job due to vacation or illness. Our\n\n\nsample excludes employers, self-employed and individuals working in a household farm\n\n\nbecause the wage data is not reported for this group of respondents. The individual wages\n\n\nwere measured as net monthly payments or earnings and bonuses.\n\n\nForty percent of males and about 5 percent of females age 25 to 60 reported to\n\n\nhave ever smoked; 32 percent of\n\nMention: \"Albania Living Standard\n\n\nMonitoring Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ALSMS household, labor, health, and smoking data are analyzed to estimate productivity and wage effects of smoking.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003256:3:1", "occurrence_id": "70bf781b38132541d2cd8b7c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  adjustments in user charges. As initiated in Shenzhen and\napplied elsewhere, land leasing was an attempt by municipalities to gain control over\na revenue source genuinely within their control. Until very recently municipal\ngovernments have been free to assemble and sell land at their discretion, constrained\nonly by the expansion of urban boundaries approved in their master plans.\n\n\nWhereas China’s 1994 fiscal framework reforms (see Chapter 2) have been\ndescribed as a form of fiscal re-centralization, due to the increase in central\ngovernment’s share of shared taxes, revenue-sharing arrangements for land leasing\nmoved in the opposite direction. Originally, the central government’s share of landleasing revenues was set at 60 percent. The split subsequently was modified to 40:60\nfor central and local governments, respectively, then to 32:68 and 5:95, before all\nland-leasing revenues were assigned to municipal governments as part of the 1994\n\n\n3 The speed with which land leasing was adopted can be seen from Shanghai’s records. Between\n1988 and 1991, 12 land leases were granted in Shanghai. The total rose to 201 in 1992 and 3,000 in\n1993. (Fu, 1996)\n\n\n4\n\nMention: \"Shanghai’s records\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Shanghai land-lease records document the rapid expansion of municipal land leasing in the early 1990s.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003327:40:1", "occurrence_id": "8d59dc6040d6d2a722c24d31", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 115|\n|Ecuador|Quito|38|99|India|Mumbai|48|115|\n|Azerbaijan|Baku|38|99|Colombia|Bogotá|49|117|\n|Saudi Arabia|Jeddah|38|99|Iran|Tehran|52|118|\n|Turkey|Istanbul|39|102|Cameroon|Douala|53|119|\n|Saudi Arabia|Al Khobar|39|102|Zimbabwe|Harare|53|119|\n|Saudi Arabia|Riyadh|39|102|Cote d’Ivoire|Abidjan|54|121|\n|Philippines|Manila|39|102|Cambodia|Phnom Penh|55|122|\n|Egypt|Cairo|39|102|Nigeria|Lagos|59|123|\n|Uzbekistan|Tashkent|42|107|Pakistan|Karachi|60|124|\n|Guatemala|Guatemala City|43|108|Bangladesh|Dhaka|61|125|\n|Sri Lanka|Colombo|43|108|Algeria|Algiers|66|126|\n|India|New Delhi|43|108|PNG|Port Moresby|66|126|\n|Vietnam|Ho Chi Minh|45|111|||||\n\n\n**13. 2006 SustainLane U.S. City Rankings**\n\n©SustainLane, an online network that promotes practicing healthy living at home and in\ncommunities, conducted a nationwide study that measures the 50 largest cities in America on\nessential quality-of-life and economic factors that affect personal sustainability.\n\nThe Philosophy of this organization is that sustainability is a more appropriate approach for urban\nareas than environmental management because it combines environmental, economic, and social\nissues, and recognizes people and institutions as the primary\n\nMention: \"SustainLane U.S. City Rankings\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SustainLane's 2006 ranking measures major U.S. cities on quality-of-life, economic, and sustainability factors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003305:9:0", "occurrence_id": "e6432f788b1eb9ee06febfeb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 10\n\n\n**Are current policies still harming farmers in developing countries?**\n\n\nWhat do the available protection database and model from Purdue University’s\n\n\nGlobal Trade Analysis Project (GTAP) say about recent distortions? The database\n\n\nsuggests that as of 2001, and consistent with table 1, the import-weighted average\n\n\nnominal ad valorem tariff and subsidy interventions were greater in agriculture than other\n\n\nprimary sectors and manufacturing even in developing countries, although less so than in\n\n\nhigh-income countries. Using the GTAP model, Anderson and Valenzuela (2007) report\n\n\nthe effects on agricultural value added (real net farm income) of full global liberalization\n\n\nof those import tariffs and agricultural subsidies. The results, reported in table 3, suggest\n\n\nthat real net farm income would rise in all key developing countries and regions with a\n\n\nmove to free trade. Moreover, that rise is greater than the increase in value added in non\n\nfarm sectors except in Sub-Saharan Africa (where the two rise by a similar amount). That\n\n\nis, according to the GTAP database and model, developing country farmers as a group are\n\n\nstill being discriminated against by the structure of distortions as of 2001.\n\n\nThat estimated positive impact of such reform on farmers in Sub-Saharan Africa\n\n\nis consistent with results using another global economy-wide model known as Linkage.\n\n\nThat model has been used by Anderson, Martin and van der Mensbrugghe (2006c) to\n\n\nexplicitly address a question raised by Panagariya (2005), who suggests that such a\n\n\nregion would be likely to lose from liberalization of at least OECD agricultural\n\n\nprotection. The basis of Panagariya’s suggestion has two elements. One is that net food\n\nimporting countries of the region would lose because OECD reform would raise\n\nMention: \"protection database and model\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTAP protection data and model are used to estimate how trade liberalization affects agricultural value added and farm income across regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003305:9:0", "occurrence_id": "54effd562495cce1a6ff69e6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 10\n\n\n**Are current policies still harming farmers in developing countries?**\n\n\nWhat do the available protection database and model from Purdue University’s\n\n\nGlobal Trade Analysis Project (GTAP) say about recent distortions? The database\n\n\nsuggests that as of 2001, and consistent with table 1, the import-weighted average\n\n\nnominal ad valorem tariff and subsidy interventions were greater in agriculture than other\n\n\nprimary sectors and manufacturing even in developing countries, although less so than in\n\n\nhigh-income countries. Using the GTAP model, Anderson and Valenzuela (2007) report\n\n\nthe effects on agricultural value added (real net farm income) of full global liberalization\n\n\nof those import tariffs and agricultural subsidies. The results, reported in table 3, suggest\n\n\nthat real net farm income would rise in all key developing countries and regions with a\n\n\nmove to free trade. Moreover, that rise is greater than the increase in value added in non\n\nfarm sectors except in Sub-Saharan Africa (where the two rise by a similar amount). That\n\n\nis, according to the GTAP database and model, developing country farmers as a group are\n\n\nstill being discriminated against by the structure of distortions as of 2001.\n\n\nThat estimated positive impact of such reform on farmers in Sub-Saharan Africa\n\n\nis consistent with results using another global economy-wide model known as Linkage.\n\n\nThat model has been used by Anderson, Martin and van der Mensbrugghe (2006c) to\n\n\nexplicitly address a question raised by Panagariya (2005), who suggests that such a\n\n\nregion would be likely to lose from liberalization of at least OECD agricultural\n\n\nprotection. The basis of Panagariya’s suggestion has two elements. One is that net food\n\nimporting countries of the region would lose because OECD reform would raise\n\nMention: \"GTAP database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTAP data underpin the modeled effects of tariff and subsidy reform on agricultural and non-farm income.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003282:12:1", "occurrence_id": "335447d9d4fbf68a7fb7bd41", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  finds that the Gini index rose in the 1990s, although the increase\nwas less pronounced than in China (figure 5). <sup>15</sup> However, it is too early to say if India is\nundergoing a trend increase in inequality similar to what China has experienced. As can be seen\nfrom figure 5, on looking back over time, rising inequality in India is seen to be a recent\n\n\n14 Note that the latter figure is somewhat lower than past estimates for China; this is because corrections have\nbeen made for changes in survey-valuation methods (as discussed above) and urban-rural cost-of-living differences,\nwhich have tended to rise over time because of higher inflation in urban areas (as price controls and subsidies were\nprogressively removed on certain goods, including housing). Without these corrections, the estimate of the Gini\nindex for 2003 rises to over 45 percent instead of 41 percent.\n15 Figure 5 uses the NSS “thick samples” only. The thin samples for the 1990s also confirm the increase in\ninequality (Ravallion, 2000).\n\n\n13\n\nMention: \"the NSS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"NSS thick samples corroborate the observed rise in India's Gini inequality during the 1990s.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003361:11:1", "occurrence_id": "494afda9e4a5f3331b5f1ef6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  studied for NCMS\n\n\nhouseholds, non-NCMS households living in the ten NCMS pilot counties, and households in\n\n\nliving in the five non-NCMS counties. The utilization of health services is similar among all\n\n\nthree groups, with a slight tendency towards higher rates among the NCMS households. Health\n\n\nspending is captured in the survey both through the household expenditure module, where\n\n\nhouseholds are asked how much they spent in the previous 12 months on health care, and in the\n\n\nspecific utilization modules, where each individual in the household is asked, for each category\n\n27 The survey also covered an additional 17 counties without baseline data. This was done to generate more extensive and\nrepresentative descriptive data. The cross-section data are not used in this paper, because as indicated earlier, estimates based on\ncross-section data are likely to be biased in this context because of the influence of unobservables in the enrolment process.\n28 The sample include counties from all the different coverage modes (2 inpatient only, 2 inpatient and catastrophic care, 2\ninpatient and outpatient pooling, and 4 inpatient and household accounts), and from all regions (5 east, 2 center, and 3 west).\n29 The probit was estimated on 2070 counties, using data from the National Bureau of Statistics county database. The variables\nthat were significantly related to whether or not a county was selected as an NCMS pilot were: GDP per capita, the rural share of\nthe population, and investment in fixed assets, all of which increased the likelihood of the county being selected, and the fraction\nof the population in middle school, which was negatively associated with being a pilot county. Variables included but which had\nan insignificant coefficient included: electricity use, telephone lines, fiscal revenues, government expenditures, industrial output,\nprimary enrollment, beds in government hospitals, welfare institutions, and beds in welfare institutions.\n30 Quality control measures in data collection and entry included extensive enumerator training, detailed review and control of\n\nMention: \"National Bureau of Statistics county database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"County records supply GDP, rural-population, investment, and education variables for modeling selection into NCMS pilot status.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003395:36:1", "occurrence_id": "918379a3de08c49613d1a93c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in international markets. The second covers capital\nraised through American depositary receipts. The series are based on Euromoney's information,\naugmented by depositary receipts operations reported in Bank of New York and not included in\nEuromoney. The series cover the period 1983-2000.\nEuromoney and Bank of New York\nGDP at market prices (current U.S. \ndollars) \nGross domestic product (GDP) at purchaser prices. GDP data is converted from domestic\ncurrencies using yearly average official exchange rates. For a few countries where the official\nexchange rate does not reflect the rate effectively applied to actual foreign exchange\ntransactions, an alternative conversion factor is used.\nWorld Bank: World Development Indicators\nGDP growth\nAnnual percentage growth rate of GDP at market prices based on constant local currency. GDP\nis the sum of gross value added by all resident producers in the economy plus any product taxes\nand minus any subsidies not included in the value of the products. It is calculated without\nmaking deductions for depreciation of fabricated assets or for depletion and degradation of\nnatural resources.\nWorld Bank: World Development Indicators\nFiscal deficit\nOverall budget balance, defined as current and capital revenue and official grants received, less\ntotal expenditure and lending minus repayments. \nIMF: International Financial Statistics (IFS) and World Economic Outlook \n(WEO)\nOECD GDP growth\nAnnual percentage growth rate of aggregate GDP at market prices of high income OECD\ncountries. Aggregate GDP data is based on constant 2000 U.S. dollars. High income countries\nare those in which GNI per capita in 2004 was 10,066 U.S. dollars or more. The economies\nincluded are: Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece,\nIceland, Ireland, Italy, Japan, Korea, Luxembourg, Netherlands, New Zealand, Norway, Portugal,\nSpain, Sweden, Switzerland, United Kingdom, and United States.\nWorld Bank: World Development Indicators\nU.S. interest rate\nYield on actively traded 3-year U\n\nMention: \"Euromoney\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Euromoney data measure international equity issues and capital raised through depositary receipts over 1983–2000.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003395:36:1", "occurrence_id": "603adaba15be73bcc5f35f48", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in international markets. The second covers capital\nraised through American depositary receipts. The series are based on Euromoney's information,\naugmented by depositary receipts operations reported in Bank of New York and not included in\nEuromoney. The series cover the period 1983-2000.\nEuromoney and Bank of New York\nGDP at market prices (current U.S. \ndollars) \nGross domestic product (GDP) at purchaser prices. GDP data is converted from domestic\ncurrencies using yearly average official exchange rates. For a few countries where the official\nexchange rate does not reflect the rate effectively applied to actual foreign exchange\ntransactions, an alternative conversion factor is used.\nWorld Bank: World Development Indicators\nGDP growth\nAnnual percentage growth rate of GDP at market prices based on constant local currency. GDP\nis the sum of gross value added by all resident producers in the economy plus any product taxes\nand minus any subsidies not included in the value of the products. It is calculated without\nmaking deductions for depreciation of fabricated assets or for depletion and degradation of\nnatural resources.\nWorld Bank: World Development Indicators\nFiscal deficit\nOverall budget balance, defined as current and capital revenue and official grants received, less\ntotal expenditure and lending minus repayments. \nIMF: International Financial Statistics (IFS) and World Economic Outlook \n(WEO)\nOECD GDP growth\nAnnual percentage growth rate of aggregate GDP at market prices of high income OECD\ncountries. Aggregate GDP data is based on constant 2000 U.S. dollars. High income countries\nare those in which GNI per capita in 2004 was 10,066 U.S. dollars or more. The economies\nincluded are: Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece,\nIceland, Ireland, Italy, Japan, Korea, Luxembourg, Netherlands, New Zealand, Norway, Portugal,\nSpain, Sweden, Switzerland, United Kingdom, and United States.\nWorld Bank: World Development Indicators\nU.S. interest rate\nYield on actively traded 3-year U\n\nMention: \"World Development Indicators\nGDP growth\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Development Indicators provide GDP-growth series used to compare economic performance across countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003395:36:1", "occurrence_id": "902e38dfcf9e1b7ead58cb5c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in international markets. The second covers capital\nraised through American depositary receipts. The series are based on Euromoney's information,\naugmented by depositary receipts operations reported in Bank of New York and not included in\nEuromoney. The series cover the period 1983-2000.\nEuromoney and Bank of New York\nGDP at market prices (current U.S. \ndollars) \nGross domestic product (GDP) at purchaser prices. GDP data is converted from domestic\ncurrencies using yearly average official exchange rates. For a few countries where the official\nexchange rate does not reflect the rate effectively applied to actual foreign exchange\ntransactions, an alternative conversion factor is used.\nWorld Bank: World Development Indicators\nGDP growth\nAnnual percentage growth rate of GDP at market prices based on constant local currency. GDP\nis the sum of gross value added by all resident producers in the economy plus any product taxes\nand minus any subsidies not included in the value of the products. It is calculated without\nmaking deductions for depreciation of fabricated assets or for depletion and degradation of\nnatural resources.\nWorld Bank: World Development Indicators\nFiscal deficit\nOverall budget balance, defined as current and capital revenue and official grants received, less\ntotal expenditure and lending minus repayments. \nIMF: International Financial Statistics (IFS) and World Economic Outlook \n(WEO)\nOECD GDP growth\nAnnual percentage growth rate of aggregate GDP at market prices of high income OECD\ncountries. Aggregate GDP data is based on constant 2000 U.S. dollars. High income countries\nare those in which GNI per capita in 2004 was 10,066 U.S. dollars or more. The economies\nincluded are: Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece,\nIceland, Ireland, Italy, Japan, Korea, Luxembourg, Netherlands, New Zealand, Norway, Portugal,\nSpain, Sweden, Switzerland, United Kingdom, and United States.\nWorld Bank: World Development Indicators\nU.S. interest rate\nYield on actively traded 3-year U\n\nMention: \"International Financial Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"IMF International Financial Statistics and World Economic Outlook provide fiscal-deficit data for the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003419:27:0", "occurrence_id": "77186abaab885812b8175d16", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Table 1: Overview of Rwanda, By Province\n\n\n\nAltitude\n(meters)\n\n\n\nHistorical\nRainfall Average\n1960-1987 (in\n<u>mm/year)</u>\n\n\n\nHeight for\nAge Z-score <sup>b</sup>\n\n\n\nProvince Average Land\nSize per\nHousehold\n<u>(hectares)</u>\n\n\n\nValue of\nProduction <sup>a</sup>\n\n\n\nButare 0.81 36000 1660 1217 -1.995\nByumba 1.01 45700 1888 1271 -2.192\nCyangugu 0.66 32200 1917 1559 -2.228\nGikongoro 0.89 21400 1917 1436 -2.080\nGisenyi 0.45 33000 1946 1263 -2.005\nGitarama 0.92 50000 1630 1136 -2.116\nKibungo 1.35 65500 1469 1019 -1.795\nKibuye 1.16 25700 2100 1311 -1.569\nKigali 0.95 67500 1581 1088 -1.703\nRuhengeri 0.79 45200 2115 1276 -2.164\n\n<u>Rural Rwanda</u> <u>0.89</u> <u>44300</u> <u>1802</u> <u>1258</u> <u>-1.981</u>\n\nNotes: Crop failure occurred in certain districts in Gikongoro and Butare provinces in October 1988.\nCivil conflicts occurred in certain districts in Byumba and Ruhengeri provinces starting in October 1990.\nData source: Survey conducted by UNICEF, the Rwandan Department of Agricultural Statistics and\nMichigan State University. Rainfall and altitude information collected by Rwandan Meteorological\nService.\n\na Average value of household crop production from 1989 to 1991 in Rwandan Francs.\n\nb Height for age z-score is averaged across all children born in that particular province between\n\nMention: \"UNICEF\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The survey supplies provincial household crop-production, rainfall, land, and child-height indicators for comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003344:6:0", "occurrence_id": "b86112ea537d2ff322cbfa06", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: strengthening their creditor position. In contrast, the Indian current account balance has\nreturned to negative territory with a deficit of 1.5 percent in 2005 and projected deficits\nof 2.1 and 2.7 percent for 2006 and 2007, respectively, thus deepening their debtor\nposition.\n\nCompared with other developing countries, Figure 2 shows that China and India had at\nthe end of 2004 net foreign asset positions that were less negative than is typically the\ncase for countries at a similar level of development. This remains true today. Although\nsome developing countries have more positive net positions, those typically are resourcerich economies.\n\nIn global terms, the imbalances of China and India are relatively small, as illustrated in\nTable 1. At the end of 2004, the Chinese creditor position amounted to only 7.4 percent\nof the level of Japanese net foreign assets (Japan is the world’s largest creditor nation),\nwhereas Indian net liabilities were only 2.8 percent of U.S. net external liabilities (the\nU.S. is the world’s largest debtor nation). Scaled differently, China’s net creditor position\nof 131 billion dollars at the end of 2004 amounted to only 5 percent of the U.S. negative\nexternal position of $2.65 trillion. <sup>10</sup> [^10: These calculations are based on data drawn from Lane and Milesi-Ferretti (2006). In recent years, the\nmajor oil exporters plus other Asian economies have also run substantial current account surpluses.] However it is increasingly important on a flow basis:\nits projected 2006 current account surplus of $184 billion amounts to more than 20\npercent of the projected U.S. current account deficit of $869 billion (IMF, World\nEconomic Outlook database).\n\nUnderlying these net positions is a significant increase in the scale of China’s and India’s\ninternational balance sheets. Figure 3 shows the sum of foreign assets and liabilities\n(divided by GDP). This indicator of\n\nMention: \"World\nEconomic Outlook database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"IMF World Economic Outlook projections provide current-account estimates used to compare China's surplus with the U.S. deficit.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003553:39:0", "occurrence_id": "09f203a19f21609fa3266953", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5** . Estimated IMR by mother and child characteristics\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNote: Mean estimates derived from Demographic and Health Survey (DHS) data pooled from 123\nsurveys covering 59 countries.\n\n\n\n38\n\nMention: \"Demographic and Health Survey (DHS)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Pooled DHS surveys provide mother- and child-level observations used to estimate infant mortality rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003348:6:0", "occurrence_id": "fc6a9ca5a0fa549c7ba51e58", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the International Food Policy Research Institute (IFPRI), the National Aeronautics and\n\n\nSpace Administration (NASA), the National Oceanographic and Atmospheric\n\n\nAdministration (NOAA), and the World Bank. Table 2 summarizes the data sources for\n\n\nassessments of inundation zones and impacts.\n\n\n**Table 2**\n**Summary of Data Sources**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dimension|Dataset<br>Name|Unit|Resolution|Source(s)|\n|---|---|---|---|---|\n|Coastline and<br>country<br>boundary|WVS||1:250,000|NOAA/NASA|\n|Elevation|SRTM 90m<br>DEM V2|km2|90m|CIAT|\n|Population|GPW-3|Population<br>counts|1km|CIESIN|\n|Economic<br>activity|GDP2000|million US<br>dollars|5km|World Bank, based on<br>Sachs_et al._(2001)|\n|Urban extent|GRUMP V1|km2|1km|CIESIN|\n|Agricultural<br>extent|GAE-2|km2|1km|IFPRI|\n|Wetlands|GLWD-3|km2|1km|CESR, Lehner, B. and<br>Döll, P. (2004)|\n\n\n**II.2** **Methodology**\n\n\nThe country indicator database was developed by following the six-step procedure\n\n\ndescribed below.\n\n\n**II.2.1** Preparing country boundaries and coastlines\n\n\nCountry coastlines were built by sub-setting polygons from the World Vector Shoreline\n\n\n(polygon), a standard National Geospatial Intelligence Agency (formerly Defense\n\n\nMapping Agency) product at a nominal scale of 1:250,000. It\n\nMention: \"WVS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Vector Shoreline polygons define coastlines and country boundaries in the spatial indicator database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003348:6:0", "occurrence_id": "5a9adb1910feb0e1ef36ca96", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the International Food Policy Research Institute (IFPRI), the National Aeronautics and\n\n\nSpace Administration (NASA), the National Oceanographic and Atmospheric\n\n\nAdministration (NOAA), and the World Bank. Table 2 summarizes the data sources for\n\n\nassessments of inundation zones and impacts.\n\n\n**Table 2**\n**Summary of Data Sources**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dimension|Dataset<br>Name|Unit|Resolution|Source(s)|\n|---|---|---|---|---|\n|Coastline and<br>country<br>boundary|WVS||1:250,000|NOAA/NASA|\n|Elevation|SRTM 90m<br>DEM V2|km2|90m|CIAT|\n|Population|GPW-3|Population<br>counts|1km|CIESIN|\n|Economic<br>activity|GDP2000|million US<br>dollars|5km|World Bank, based on<br>Sachs_et al._(2001)|\n|Urban extent|GRUMP V1|km2|1km|CIESIN|\n|Agricultural<br>extent|GAE-2|km2|1km|IFPRI|\n|Wetlands|GLWD-3|km2|1km|CESR, Lehner, B. and<br>Döll, P. (2004)|\n\n\n**II.2** **Methodology**\n\n\nThe country indicator database was developed by following the six-step procedure\n\n\ndescribed below.\n\n\n**II.2.1** Preparing country boundaries and coastlines\n\n\nCountry coastlines were built by sub-setting polygons from the World Vector Shoreline\n\n\n(polygon), a standard National Geospatial Intelligence Agency (formerly Defense\n\n\nMapping Agency) product at a nominal scale of 1:250,000. It\n\nMention: \"DEM V2\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SRTM 90-meter elevation data supply the terrain layer used in the spatial analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003348:6:0", "occurrence_id": "bdbea83a53f4e283547a0893", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the International Food Policy Research Institute (IFPRI), the National Aeronautics and\n\n\nSpace Administration (NASA), the National Oceanographic and Atmospheric\n\n\nAdministration (NOAA), and the World Bank. Table 2 summarizes the data sources for\n\n\nassessments of inundation zones and impacts.\n\n\n**Table 2**\n**Summary of Data Sources**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dimension|Dataset<br>Name|Unit|Resolution|Source(s)|\n|---|---|---|---|---|\n|Coastline and<br>country<br>boundary|WVS||1:250,000|NOAA/NASA|\n|Elevation|SRTM 90m<br>DEM V2|km2|90m|CIAT|\n|Population|GPW-3|Population<br>counts|1km|CIESIN|\n|Economic<br>activity|GDP2000|million US<br>dollars|5km|World Bank, based on<br>Sachs_et al._(2001)|\n|Urban extent|GRUMP V1|km2|1km|CIESIN|\n|Agricultural<br>extent|GAE-2|km2|1km|IFPRI|\n|Wetlands|GLWD-3|km2|1km|CESR, Lehner, B. and<br>Döll, P. (2004)|\n\n\n**II.2** **Methodology**\n\n\nThe country indicator database was developed by following the six-step procedure\n\n\ndescribed below.\n\n\n**II.2.1** Preparing country boundaries and coastlines\n\n\nCountry coastlines were built by sub-setting polygons from the World Vector Shoreline\n\n\n(polygon), a standard National Geospatial Intelligence Agency (formerly Defense\n\n\nMapping Agency) product at a nominal scale of 1:250,000. It\n\nMention: \"GPW-3\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GPW-3 population-count grids provide spatial population inputs for impact assessment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003348:6:0", "occurrence_id": "c43dd11ddd88bd2868ec6c05", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the International Food Policy Research Institute (IFPRI), the National Aeronautics and\n\n\nSpace Administration (NASA), the National Oceanographic and Atmospheric\n\n\nAdministration (NOAA), and the World Bank. Table 2 summarizes the data sources for\n\n\nassessments of inundation zones and impacts.\n\n\n**Table 2**\n**Summary of Data Sources**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dimension|Dataset<br>Name|Unit|Resolution|Source(s)|\n|---|---|---|---|---|\n|Coastline and<br>country<br>boundary|WVS||1:250,000|NOAA/NASA|\n|Elevation|SRTM 90m<br>DEM V2|km2|90m|CIAT|\n|Population|GPW-3|Population<br>counts|1km|CIESIN|\n|Economic<br>activity|GDP2000|million US<br>dollars|5km|World Bank, based on<br>Sachs_et al._(2001)|\n|Urban extent|GRUMP V1|km2|1km|CIESIN|\n|Agricultural<br>extent|GAE-2|km2|1km|IFPRI|\n|Wetlands|GLWD-3|km2|1km|CESR, Lehner, B. and<br>Döll, P. (2004)|\n\n\n**II.2** **Methodology**\n\n\nThe country indicator database was developed by following the six-step procedure\n\n\ndescribed below.\n\n\n**II.2.1** Preparing country boundaries and coastlines\n\n\nCountry coastlines were built by sub-setting polygons from the World Vector Shoreline\n\n\n(polygon), a standard National Geospatial Intelligence Agency (formerly Defense\n\n\nMapping Agency) product at a nominal scale of 1:250,000. It\n\nMention: \"GDP2000\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GDP2000 provides spatially resolved economic-activity values for the impact database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003348:6:0", "occurrence_id": "ee2a0564dba15b1e66f4494a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the International Food Policy Research Institute (IFPRI), the National Aeronautics and\n\n\nSpace Administration (NASA), the National Oceanographic and Atmospheric\n\n\nAdministration (NOAA), and the World Bank. Table 2 summarizes the data sources for\n\n\nassessments of inundation zones and impacts.\n\n\n**Table 2**\n**Summary of Data Sources**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dimension|Dataset<br>Name|Unit|Resolution|Source(s)|\n|---|---|---|---|---|\n|Coastline and<br>country<br>boundary|WVS||1:250,000|NOAA/NASA|\n|Elevation|SRTM 90m<br>DEM V2|km2|90m|CIAT|\n|Population|GPW-3|Population<br>counts|1km|CIESIN|\n|Economic<br>activity|GDP2000|million US<br>dollars|5km|World Bank, based on<br>Sachs_et al._(2001)|\n|Urban extent|GRUMP V1|km2|1km|CIESIN|\n|Agricultural<br>extent|GAE-2|km2|1km|IFPRI|\n|Wetlands|GLWD-3|km2|1km|CESR, Lehner, B. and<br>Döll, P. (2004)|\n\n\n**II.2** **Methodology**\n\n\nThe country indicator database was developed by following the six-step procedure\n\n\ndescribed below.\n\n\n**II.2.1** Preparing country boundaries and coastlines\n\n\nCountry coastlines were built by sub-setting polygons from the World Vector Shoreline\n\n\n(polygon), a standard National Geospatial Intelligence Agency (formerly Defense\n\n\nMapping Agency) product at a nominal scale of 1:250,000. It\n\nMention: \"GRUMP V1\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GRUMP urban-extent data identify settlement areas in the spatial database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003348:6:0", "occurrence_id": "fdb895785e09a6faee7d40e6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the International Food Policy Research Institute (IFPRI), the National Aeronautics and\n\n\nSpace Administration (NASA), the National Oceanographic and Atmospheric\n\n\nAdministration (NOAA), and the World Bank. Table 2 summarizes the data sources for\n\n\nassessments of inundation zones and impacts.\n\n\n**Table 2**\n**Summary of Data Sources**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dimension|Dataset<br>Name|Unit|Resolution|Source(s)|\n|---|---|---|---|---|\n|Coastline and<br>country<br>boundary|WVS||1:250,000|NOAA/NASA|\n|Elevation|SRTM 90m<br>DEM V2|km2|90m|CIAT|\n|Population|GPW-3|Population<br>counts|1km|CIESIN|\n|Economic<br>activity|GDP2000|million US<br>dollars|5km|World Bank, based on<br>Sachs_et al._(2001)|\n|Urban extent|GRUMP V1|km2|1km|CIESIN|\n|Agricultural<br>extent|GAE-2|km2|1km|IFPRI|\n|Wetlands|GLWD-3|km2|1km|CESR, Lehner, B. and<br>Döll, P. (2004)|\n\n\n**II.2** **Methodology**\n\n\nThe country indicator database was developed by following the six-step procedure\n\n\ndescribed below.\n\n\n**II.2.1** Preparing country boundaries and coastlines\n\n\nCountry coastlines were built by sub-setting polygons from the World Vector Shoreline\n\n\n(polygon), a standard National Geospatial Intelligence Agency (formerly Defense\n\n\nMapping Agency) product at a nominal scale of 1:250,000. It\n\nMention: \"GAE-2\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GAE-2 supplies mapped agricultural-extent data for inundation and impact assessments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003348:6:0", "occurrence_id": "f12f1151dbedc70fa7961da6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the International Food Policy Research Institute (IFPRI), the National Aeronautics and\n\n\nSpace Administration (NASA), the National Oceanographic and Atmospheric\n\n\nAdministration (NOAA), and the World Bank. Table 2 summarizes the data sources for\n\n\nassessments of inundation zones and impacts.\n\n\n**Table 2**\n**Summary of Data Sources**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dimension|Dataset<br>Name|Unit|Resolution|Source(s)|\n|---|---|---|---|---|\n|Coastline and<br>country<br>boundary|WVS||1:250,000|NOAA/NASA|\n|Elevation|SRTM 90m<br>DEM V2|km2|90m|CIAT|\n|Population|GPW-3|Population<br>counts|1km|CIESIN|\n|Economic<br>activity|GDP2000|million US<br>dollars|5km|World Bank, based on<br>Sachs_et al._(2001)|\n|Urban extent|GRUMP V1|km2|1km|CIESIN|\n|Agricultural<br>extent|GAE-2|km2|1km|IFPRI|\n|Wetlands|GLWD-3|km2|1km|CESR, Lehner, B. and<br>Döll, P. (2004)|\n\n\n**II.2** **Methodology**\n\n\nThe country indicator database was developed by following the six-step procedure\n\n\ndescribed below.\n\n\n**II.2.1** Preparing country boundaries and coastlines\n\n\nCountry coastlines were built by sub-setting polygons from the World Vector Shoreline\n\n\n(polygon), a standard National Geospatial Intelligence Agency (formerly Defense\n\n\nMapping Agency) product at a nominal scale of 1:250,000. It\n\nMention: \"GLWD-3\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GLWD-3 wetland maps provide spatial wetland extent for the indicator database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003557:4:0", "occurrence_id": "4e3e44aa41a71b6e27aac371", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: high. Hall’s conclusion is that “small and new innovative firms experience high costs\nof capital that are only partly mitigated by the presence of venture capital,” while\n“evidence for high costs of R&D capital for large firms is mixed”. In more recent work,\nBenfratello et al. (2006) use firm data from Italy to investigate the effect of regional\nbanking development on innovative activities, and find evidence of a stronger positive\neffect for small firms.\n\nPrior research thus suggests that financial development has a disproportionately\npositive affect on innovation by small firms. This innovation channel could be one\nreason behind the heterogenous impact of finance on firm growth. Moreover, the\nobserved higher productivity and lower spending on innovation in small firms suggests\nthat financial growth could lead to a more optimal interfirm allocation of spending\non innovation. This hypothesis implies that as financial markets develop, there is\nrelatively more R&D investment by smaller firms, and that relative R&D productivity\nin larger firms rises. In this paper, I use data on firms from 57 countries to see if this\ndual pattern shows up in cross-country data from developing economies.\n\nI find that within industries, relative R&D spending in smaller firms is more likely\nand sizable in countries at higher levels of financial development. The estimates imply\nthat among firms doing R&D in a country at the 20th percentile of financial development, a one standard deviation decrease in firm size is associated with a decrease of 0.7\nstandard deviation in R&D spending. In contrast, this decrease is only 0.2 if financial\ndevelopment is at the 80th percentile of its distribution across countries. My second\nfinding also supports the hypothesis: small firms report producing more innovations\nper unit R&D than large firms, but this gap is narrower in countries at higher levels\nof financial development.\n\nTo verify further that the observed patterns relate to financing, I exploit the crossindustry dimension of my data, interacting financial\n\nMention: \"data on firms from 57 countries\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Cross-country firm data are analyzed to test how financial development relates to R&D spending and innovation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003458:2:0", "occurrence_id": "ab7a06dffd1f2dce5de0618b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the MDG target of gender parity in primary education by 2005, and the regions with the highest\n\n\ngaps will have to make even greater gains if gender parity is to be achieved as part of universal\n\n\nprimary school completion by 2015. Girls’ exclusion from education in comparison to boys,\n\n\nespecially in South Asia, Sub-Saharan Africa and the Middle East and North Africa, is one of the\n\n\nclearest indicators of gender discrimination (UNICEF 2005).\n\n\nOf those children in developing countries that are in school, most are not learning\n\n\nadequately. The few participating countries in international achievement tests such as TIMSS,\n\n\nPIRLS and PISA usually score near the bottom, especially when compared to middle and high\n\nincome countries. Their levels of comprehension are minimal in important subjects such as\n\n\nmath, science and reading. In fact, 54 percent of Peruvian 15-year-olds are at the lowest level of\n\n\ncomprehension in reading according to the OECD’s PISA assessment; while 23 percent of youth\n\n\nin Argentina and Brazil, 31 percent in Indonesia, and 10 percent in Thailand are at this level. By\n\n\ncontrast only 3 and 4 percent of youth in the United Kingdom and France score at this level.\n\n\nAlthough life expectancy has increased, 10 million children die every year before their\n\n\nfifth birthday (UNICEF 2005), largely from preventable causes, and malnutrition is a\n\n\ncontributing factor in more than half of these. More than 50 percent of the 10 million children\n\n\ndie at home due to poor access to health care. Acute respiratory infections are the biggest single\n\n\nkiller (2 million every year), followed by diarrhoeal diseases, malaria, measles, pertussis,\n\n\ntuberculosis and neonatal tetanus. More than half a million children die of HIV/AIDS each year.\n\n\nMaternal mortality ratios have remained high in some parts of the world, at 1,100 deaths per\n\n\n100,000 live births in Sub-Saharan Africa and 440 in developing countries, compared to 12 for\n\n\ndeveloped countries (Belli and Appaix 2003\n\nMention: \"OECD’s PISA assessment\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"PISA assessment results contextualize reading-comprehension differences across countries and education systems.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003549:17:1", "occurrence_id": "a68bb056ecdb44fbdce9a46c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (land values VL). The model in (8) was employed for this\nresearch, as data on land prices for the selected samples were not available. This is the same\napproach followed by Sanghi et al. (1998) and Kumar & Parikh (1998) for India.\n\n\n**_5.2 Data description_**\n\n\nThe household data for this study was based on a sample of 1000 farmers randomly selected from\ndifferent agro-ecological settings of the country, who were believed to be representatives of the\nwhole nation (Table 1). A total of 50 districts (20 farmers from every district) were purposely\nselected, starting from the extreme highlands of the southeastern regions of the Oromia Regional\nState to the lowlands of the Afar Regional States. Yale University and the University of Pretoria\nprovided the questionnaire for this study, which asks about a variety of household attributes. The\ninterviews with the farmers took place during the 2003/2004 production seasons. Almost all were\nsmall-scale farmers with rainfed farms, as more than 95% of Ethiopian farmers are of this type.\n\n\nThe temperature data for this study was derived from the satellite data provided by the US\nDepartment of Defense and the precipitation data from the African Rainfall and Temperature\nEvaluation System (ARTES). The soil data for this study was obtained from the Food and\nAgricultural Organization. The FAO provides information about the major and minor soils in each\nlocation, including the slope and texture. The hydrological data (flow and runoff) was obtained\nfrom the University of Colorado (IWMI/ University of Colorado 2003). The hydrology team\ncalculated flow and runoff for each district using the hydrological model for Africa.\n\n\n16\n\nMention: \"African Rainfall and Temperature\nEvaluation System\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"ARTES precipitation data provide climatic inputs for evaluating Ethiopian farm productivity and land-use outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003511:19:0", "occurrence_id": "ffa8aebb44e339506cc7ea40", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Kee et al. (2007). An elasticity of substitution lower than the one used in this paper (7.5) will enhance\n\n\nthe welfare benefits of increased variety--other things equal-- because it implies that goods are more\n\n\ndifferentiated. The sensitivity of the welfare results to the choice of substitution parameters and the size\n\n\nof the extensive margin are important issues that we plan to examine in future.\n\n\nFinally, because we do not know the exact channels through which China and India will grow in the\n\n\nnext fifteen years, we undertake three simulations that are alternatives to the neutral high-TFP scenarios,\n\n\nand which allow us to investigate whether China and India’s export growth might create more\n\n\ncompetition for developing or for industrial countries. We first study the implications of positive\n\n\nproductivity shocks of 2 percent per year in the relatively capital and skill-intensive sectors considered\n\n\nin the case studies of Winters and Yusuf (2006): metals; electronics; machinery and equipment;\n\n\nautomobiles, and commercial services in China and India. Then, we consider shocks that augment the\n\n\nstocks of human and physical capital, and could be expected to shift the composition of China’s exports\n\n\ntowards goods more intensive in human and physical capital, and hence more competitive with the\n\n\nexports of the industrial countries. We first assess the impacts of a 2 percentage point annual increase in\n\n\nthe stock of physical capital in China and India. Then, we compute the effects of a 2 percentage point\n\n\nannual increase in the stock of human capital in China and India.\n\n\nThe macroeconomic closure of the simulation model assumes constant employment, perfect mobility of\n\n\nskilled and unskilled labor between sectors, and none between regions. Since we look at long run effects,\n\n\nwe have doubled the elasticity of substitution between imported goods from different sources and\n\n\nbetween composite imported and domestic goods from the values used in the GTAP 6 Data Base.\n\n\nThe effects on key variables of higher growth in China and India, and higher growth with and without\n\n\nincreased variety and quality of\n\nMention: \"the GTAP 6 Data Base\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTAP 6 parameter values provide substitution elasticities for the trade-simulation model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003581:5:0", "occurrence_id": "69f78d7bcbe0569719dc2804", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: and the province of Kosovo <sup>2</sup> . With the exception of Albania, all of these countries were part of\nthe former Socialist Federal Republic of Yugoslavia (SFRY).\n\nThroughout the paper comparisons will be made with the financing and expenditure patterns in\nthe EU-15 <sup>3</sup> and EU-12 <sup>4</sup> countries. Explicit comparisons will also be made with Croatia and\nSlovenia. They are useful comparators because they were originally part of the SFRY, seceding in\n1991, and have shared common aspirations of joining the EU <sup>5</sup> .\n\n\n_<u>B2 Data sources</u>_\n\nThe data used in this report are drawn from a number of sources:\n\n\n(i) <u>International databases:</u> The World Bank’s World Development Indicators 2007\ndatabase (WDI 2007) is the main source of health expenditure data <sup>6</sup> . For certain\nestimates that are not available in the WDI database, the World Health\nOrganization’s (WHO) Health for All 2007 database (HFA-DB 2007) is used. Most\nof the information on revenue sources is obtained from the WHO National Health\nAccounts (NHA) database.\n(ii) <u>Country institutions:</u> This report also relies on information provided to the World\nBank by country institutions, such as ministries of health, ministries of finance,\nstatistical institutes and institutes of public health. Some of this information has been\npublished in World Bank reports, including poverty assessments, country and sector\nstudies, and public expenditure and institutional reviews. These information sources\nare particularly valuable for data on Serbia, Montenegro and Kosovo for which\nrevenue and expenditure information is not yet available in the major databases.\n(iii) <u>Household surveys:</u>\n\nMention: \"World Development Indicators 2007\ndatabase\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Main source of health expenditure data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003581:5:0", "occurrence_id": "411a0abfc0af635152219e18", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: and the province of Kosovo <sup>2</sup> . With the exception of Albania, all of these countries were part of\nthe former Socialist Federal Republic of Yugoslavia (SFRY).\n\nThroughout the paper comparisons will be made with the financing and expenditure patterns in\nthe EU-15 <sup>3</sup> and EU-12 <sup>4</sup> countries. Explicit comparisons will also be made with Croatia and\nSlovenia. They are useful comparators because they were originally part of the SFRY, seceding in\n1991, and have shared common aspirations of joining the EU <sup>5</sup> .\n\n\n_<u>B2 Data sources</u>_\n\nThe data used in this report are drawn from a number of sources:\n\n\n(i) <u>International databases:</u> The World Bank’s World Development Indicators 2007\ndatabase (WDI 2007) is the main source of health expenditure data <sup>6</sup> . For certain\nestimates that are not available in the WDI database, the World Health\nOrganization’s (WHO) Health for All 2007 database (HFA-DB 2007) is used. Most\nof the information on revenue sources is obtained from the WHO National Health\nAccounts (NHA) database.\n(ii) <u>Country institutions:</u> This report also relies on information provided to the World\nBank by country institutions, such as ministries of health, ministries of finance,\nstatistical institutes and institutes of public health. Some of this information has been\npublished in World Bank reports, including poverty assessments, country and sector\nstudies, and public expenditure and institutional reviews. These information sources\nare particularly valuable for data on Serbia, Montenegro and Kosovo for which\nrevenue and expenditure information is not yet available in the major databases.\n(iii) <u>Household surveys:</u>\n\nMention: \"Health for All 2007 database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Provides estimates unavailable in the WDI database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003581:5:0", "occurrence_id": "cadd003b763ad8cb57564a4d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: and the province of Kosovo <sup>2</sup> . With the exception of Albania, all of these countries were part of\nthe former Socialist Federal Republic of Yugoslavia (SFRY).\n\nThroughout the paper comparisons will be made with the financing and expenditure patterns in\nthe EU-15 <sup>3</sup> and EU-12 <sup>4</sup> countries. Explicit comparisons will also be made with Croatia and\nSlovenia. They are useful comparators because they were originally part of the SFRY, seceding in\n1991, and have shared common aspirations of joining the EU <sup>5</sup> .\n\n\n_<u>B2 Data sources</u>_\n\nThe data used in this report are drawn from a number of sources:\n\n\n(i) <u>International databases:</u> The World Bank’s World Development Indicators 2007\ndatabase (WDI 2007) is the main source of health expenditure data <sup>6</sup> . For certain\nestimates that are not available in the WDI database, the World Health\nOrganization’s (WHO) Health for All 2007 database (HFA-DB 2007) is used. Most\nof the information on revenue sources is obtained from the WHO National Health\nAccounts (NHA) database.\n(ii) <u>Country institutions:</u> This report also relies on information provided to the World\nBank by country institutions, such as ministries of health, ministries of finance,\nstatistical institutes and institutes of public health. Some of this information has been\npublished in World Bank reports, including poverty assessments, country and sector\nstudies, and public expenditure and institutional reviews. These information sources\nare particularly valuable for data on Serbia, Montenegro and Kosovo for which\nrevenue and expenditure information is not yet available in the major databases.\n(iii) <u>Household surveys:</u>\n\nMention: \"WHO National Health\nAccounts\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for most information on revenue sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003653:4:0", "occurrence_id": "4af14ef1ea85ac9ab0fe9641", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3\n\n\ncomplementary, but combining approaches is only valuable if each supplies useful\n\n\ninformation.\n\n\nThe objective of this paper is therefore to provide an initial analysis of firms’ perceptions\n\n\nof constraints on the business climate, as reported across a number of the World Bank’s\n\nEnterprise Surveys, with special emphasis on Africa. <sup>1</sup> [^1: More information on the World Bank’s Enterprise Surveys can be found at <u>[www.enterprisesurveys.org.](http://www.enterprisesurveys.org/)</u>\nThese surveys are also sometimes referred to as the World Bank’s Investment Climate Surveys or ICA\ndata.] How does the reported severity of\n\n\nthese constraints compare across countries and across different types of constraints, such\n\n\nas macroeconomic management and governance, regulation, factor markets and\n\n\ninfrastructure?  Does the probability that a firm rates a constraint as serious appear to\n\n\nvary systematically by type of firm as well as across countries? Do firms’ ratings\n\n\nconform to patterns expected from other survey data, where available? Do the cross\n\ncountry patterns confirm to other cross-country evidence?\n\n\nIn this paper, we look at perceptions of firms regarding the investment climate across\n\n\ntwenty-six African countries where similar questions have been included—Burundi,\n\n\nDemocratic Republic of Congo, Ethiopia, Malawi, Guinea-Bissau, Eritrea, Uganda,\n\n\nGambia, Madagascar, Mozambique, Tanzania, Mali, Burkina Faso, Zambia, Benin,\n\n\nKenya, Mauritania, Senegal, Lesotho, Angola, Cape Verde, Swaziland, Namibia, South\n\n\nAfrica, Mauritius, and Botswana—in surveys encompassing almost five thousand firms.\n\n\nThe Enterprise Surveys were carried out between 2002 and 2006 by the Africa Private\n\n\nSector Group of the World Bank.\n\n\nIn Section II we review some existing literature on firm perceptions, including studies\n\n\nbearing on the choice of whether to ask firms to rank or to rate constraints. Section III\n\n\nprovides a picture of how views on constraints differ across countries, and also considers\n\n\nwhether cross-country perception patterns are reasonably consistent with\n\nMention: \"Enterprise Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Used to analyze firms’ perceptions of constraints on the business climate across African countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003653:4:0", "occurrence_id": "0c88b3aa21399bbfac14dcef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3\n\n\ncomplementary, but combining approaches is only valuable if each supplies useful\n\n\ninformation.\n\n\nThe objective of this paper is therefore to provide an initial analysis of firms’ perceptions\n\n\nof constraints on the business climate, as reported across a number of the World Bank’s\n\nEnterprise Surveys, with special emphasis on Africa. <sup>1</sup> [^1: More information on the World Bank’s Enterprise Surveys can be found at <u>[www.enterprisesurveys.org.](http://www.enterprisesurveys.org/)</u>\nThese surveys are also sometimes referred to as the World Bank’s Investment Climate Surveys or ICA\ndata.] How does the reported severity of\n\n\nthese constraints compare across countries and across different types of constraints, such\n\n\nas macroeconomic management and governance, regulation, factor markets and\n\n\ninfrastructure?  Does the probability that a firm rates a constraint as serious appear to\n\n\nvary systematically by type of firm as well as across countries? Do firms’ ratings\n\n\nconform to patterns expected from other survey data, where available? Do the cross\n\ncountry patterns confirm to other cross-country evidence?\n\n\nIn this paper, we look at perceptions of firms regarding the investment climate across\n\n\ntwenty-six African countries where similar questions have been included—Burundi,\n\n\nDemocratic Republic of Congo, Ethiopia, Malawi, Guinea-Bissau, Eritrea, Uganda,\n\n\nGambia, Madagascar, Mozambique, Tanzania, Mali, Burkina Faso, Zambia, Benin,\n\n\nKenya, Mauritania, Senegal, Lesotho, Angola, Cape Verde, Swaziland, Namibia, South\n\n\nAfrica, Mauritius, and Botswana—in surveys encompassing almost five thousand firms.\n\n\nThe Enterprise Surveys were carried out between 2002 and 2006 by the Africa Private\n\n\nSector Group of the World Bank.\n\n\nIn Section II we review some existing literature on firm perceptions, including studies\n\n\nbearing on the choice of whether to ask firms to rank or to rate constraints. Section III\n\n\nprovides a picture of how views on constraints differ across countries, and also considers\n\n\nwhether cross-country perception patterns are reasonably consistent with\n\nMention: \"Investment Climate Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Alternate name for surveys used to analyze firms’ perceptions of the business climate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003653:4:0", "occurrence_id": "e18e64e2ecc1440ffff95bc6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3\n\n\ncomplementary, but combining approaches is only valuable if each supplies useful\n\n\ninformation.\n\n\nThe objective of this paper is therefore to provide an initial analysis of firms’ perceptions\n\n\nof constraints on the business climate, as reported across a number of the World Bank’s\n\nEnterprise Surveys, with special emphasis on Africa. <sup>1</sup> [^1: More information on the World Bank’s Enterprise Surveys can be found at <u>[www.enterprisesurveys.org.](http://www.enterprisesurveys.org/)</u>\nThese surveys are also sometimes referred to as the World Bank’s Investment Climate Surveys or ICA\ndata.] How does the reported severity of\n\n\nthese constraints compare across countries and across different types of constraints, such\n\n\nas macroeconomic management and governance, regulation, factor markets and\n\n\ninfrastructure?  Does the probability that a firm rates a constraint as serious appear to\n\n\nvary systematically by type of firm as well as across countries? Do firms’ ratings\n\n\nconform to patterns expected from other survey data, where available? Do the cross\n\ncountry patterns confirm to other cross-country evidence?\n\n\nIn this paper, we look at perceptions of firms regarding the investment climate across\n\n\ntwenty-six African countries where similar questions have been included—Burundi,\n\n\nDemocratic Republic of Congo, Ethiopia, Malawi, Guinea-Bissau, Eritrea, Uganda,\n\n\nGambia, Madagascar, Mozambique, Tanzania, Mali, Burkina Faso, Zambia, Benin,\n\n\nKenya, Mauritania, Senegal, Lesotho, Angola, Cape Verde, Swaziland, Namibia, South\n\n\nAfrica, Mauritius, and Botswana—in surveys encompassing almost five thousand firms.\n\n\nThe Enterprise Surveys were carried out between 2002 and 2006 by the Africa Private\n\n\nSector Group of the World Bank.\n\n\nIn Section II we review some existing literature on firm perceptions, including studies\n\n\nbearing on the choice of whether to ask firms to rank or to rate constraints. Section III\n\n\nprovides a picture of how views on constraints differ across countries, and also considers\n\n\nwhether cross-country perception patterns are reasonably consistent with\n\nMention: \"ICA\ndata\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Alternate reference to the Investment Climate Surveys used in the paper.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003653:4:0", "occurrence_id": "1983c1b478acc6f6ee24e08e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3\n\n\ncomplementary, but combining approaches is only valuable if each supplies useful\n\n\ninformation.\n\n\nThe objective of this paper is therefore to provide an initial analysis of firms’ perceptions\n\n\nof constraints on the business climate, as reported across a number of the World Bank’s\n\nEnterprise Surveys, with special emphasis on Africa. <sup>1</sup> [^1: More information on the World Bank’s Enterprise Surveys can be found at <u>[www.enterprisesurveys.org.](http://www.enterprisesurveys.org/)</u>\nThese surveys are also sometimes referred to as the World Bank’s Investment Climate Surveys or ICA\ndata.] How does the reported severity of\n\n\nthese constraints compare across countries and across different types of constraints, such\n\n\nas macroeconomic management and governance, regulation, factor markets and\n\n\ninfrastructure?  Does the probability that a firm rates a constraint as serious appear to\n\n\nvary systematically by type of firm as well as across countries? Do firms’ ratings\n\n\nconform to patterns expected from other survey data, where available? Do the cross\n\ncountry patterns confirm to other cross-country evidence?\n\n\nIn this paper, we look at perceptions of firms regarding the investment climate across\n\n\ntwenty-six African countries where similar questions have been included—Burundi,\n\n\nDemocratic Republic of Congo, Ethiopia, Malawi, Guinea-Bissau, Eritrea, Uganda,\n\n\nGambia, Madagascar, Mozambique, Tanzania, Mali, Burkina Faso, Zambia, Benin,\n\n\nKenya, Mauritania, Senegal, Lesotho, Angola, Cape Verde, Swaziland, Namibia, South\n\n\nAfrica, Mauritius, and Botswana—in surveys encompassing almost five thousand firms.\n\n\nThe Enterprise Surveys were carried out between 2002 and 2006 by the Africa Private\n\n\nSector Group of the World Bank.\n\n\nIn Section II we review some existing literature on firm perceptions, including studies\n\n\nbearing on the choice of whether to ask firms to rank or to rate constraints. Section III\n\n\nprovides a picture of how views on constraints differ across countries, and also considers\n\n\nwhether cross-country perception patterns are reasonably consistent with\n\nMention: \"other survey data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Used as a comparison point for checking whether firms’ reported ratings conform to expected patterns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003686:5:0", "occurrence_id": "9d18a918230797fd55c508b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: having the highest female participation rate at 67 percent. In contrast, the BH female\nparticipation rate is 43 percent. <sup>4</sup> [^4: This is based on a sample of transition economies using the latest available ILO (Key Indicators of the\nLabor Market) data. Data are available from the authors on request. See also Paci (2002) for a comparison\nof gender differentials in labor market outcomes, among other indicators, in the ECA region.]\n\n\nTable 1. Key Labor Market Indicators\n\n(In units as indicated)\n\n\n2001 2002 2004\n\n\nUnemployment rate (in percent of labor force)\n\n\n\n.2\n\n\n\nAll 16.0 21.6 22.2\nFederation 16.9 21.6 20.8\nRepublika Srpska 15.3 21.5 23.8\nMen 15.3 19.6 21.2\nWomen 17.5 25.1 24.1\n\n\n\n.2\n.1\n\n\n\nEmployment rate (in percent of working age population)\n\n\n\nAll 40.4 41.8 45.9\nFederation 34.6 36.4 43.4\nRepublika Srpska 46.4 47.5 47.3\nMen 53.9 55.4 59.1\nWomen 27.2 28.5 32.8\n\n\n\n.9\n\n\n\n.1\n.8\n\n\n\nLabor force participation rate (in percent of working age population)\n\n\n\nAll 48.1 53.3 59.0\nFederation 42.2 47.1 55.8\nRepublika Srpska 55.4 60.9 63.0\nMen 63.6 68.9 75.0\nWomen 32.9 38.0 43.1\n\n\n\n.0\n\n\n\n.0\n.1\n\n\n\nEmployment by sector\n\nFormal sector (in percent of total employment) 63.0 61.0 57.7\nFederation 67.2 68.1 63.7\nRepublika Srpska 59.1 54.6 51.3\n\nInformal sector (in percent of total employment) <sup>1</sup> 37.0 39.0 42.3\nFederation 32.8\n\nMention: \"Key Indicators of the\nLabor Market\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ILO labor-market indicator data underpin the female participation-rate comparison across transition economies.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003722:45:0", "occurrence_id": "2709bb01b98c69ae8bee0038", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 43\n\n\nNotes: N = 3,884 households. All values are weighted; standard deviations in parentheses. In 2006, US$ 1.00 =\n9,000 Ghanaian cedis.\n\nSource: 1998/99 Ghana GLSS 4 Survey.\n\n\n - Significant at the 0.05 level.\n** Significant at the 0.01 level.\n\nMention: \"Ghana GLSS 4 Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Source survey for the weighted household values reported in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003794:14:1", "occurrence_id": "dc5a220f12f8afa83e2fa98e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 0.061)* (0.367) (0.348)\nInteraction terms:\nSex*Only-child -0.019 0.003\n(0.073) (0.072)\nIncome*Only-child 0.051 -0.014\n(0.05) (0.048)\nObservations 6199 6199 6199 6199\nNo. of community fixed effects 176 176\n<u>Robust standard errors, clustered at the community level, in parentheses</u>\nSource. China Health and Nutrition Survey, 1991-2000.\nNote. Only select coefficients shown; other variables are the same as in the full pooled OLS and FE models (see\nTable 2).\n*significant at 10%; **significant at 5%; ***significant at 1%.\n\nThe interaction of healthcare variables and income also produces insignificant coefficients (see Table A1\nin the Appendix). This implies that the extent to which the availability, quality and cost of healthcare will\naffect child nutritional status does not depend on the amount of income that the household has available to\npurchase that care. Distance to the healthcare facility (as measured by traveling time) is the only\nhealthcare variable for which a statistically significant gender effect is observed (see Table 4). Since\nlonger traveling times are associated with poorer nutritional status (i.e. lower height-for-age z-scores), the\npositive coefficient on the interaction term indicates that the association is somewhat weaker for boys\nthan for girls.\n\n\n13\n\nMention: \"China Health and Nutrition Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey data used in the pooled OLS and fixed-effects models of child nutritional status and healthcare effects.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003845:15:2", "occurrence_id": "76c087aa05ea2c79f853a84b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _ 5 _i_ 6 _it_\n\n\n\n4 _it_ 5 _i_ 6\n\n\n\n_i_\n\n\n\nβ 7 _xPOP_ _ _SIZEit_ _xGDPCAPit_ + _YEAR_ _ _DUMMIES_ +ε _it_\n\n\n\n7\n\n\n\n_xPOP_ _ _SIZEit_ _xGDPCAPit_ + _YEAR_ _ _DUMMIES_\n\n\n\n_ _SIZEit_ _xGDPCAPit_ + _YEAR_ _\n\n\n\n_it_ _it_ _it_\n\n\n\n+ _YEAR_ _ _DUMMIES_ +\n\n\n\n_Yit_\n\n\n\n26\n\n\n\nWhere _Yit_ is the FDI for country _i_ at time _t._ The benchmark indicator is the residual. The\nregionally adjusted benchmark is obtained by adding regional dummies.26\n\n\n\n23 This variable measures the proportion of the population under the poverty line, times the average\ndistance from the poverty line. A value of zero was adopted for all high income countries (Source: Povcal\nNet, WorldBank)\n24 The alternative of using a broader index that included all mining exports was also explored but the fit\nwas found to be inferior, suggesting that the impact of oil exports on financial development is sector\nspecific.\n25 As a robustness check, we also estimated, for those indicators for which we have sufficient data, an\nalternative model based on the transformation of all variables into 25 quintiles and taking the inverse\nnormal distribution to make the new variable normal. Results (see Appendix Table 1) are very close to\nthose obtained with our standard specification.\n26 We dealt with the outliers using an iterative algorithm that gradually eliminates outliers within the onepercent tails.\n\n\n14\n\nMention: \"Povcal\nNet\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the poverty-line variable used in the model; high-income countries were assigned zero.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003848:57:2", "occurrence_id": "d3d910e12395c020b661b109", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Project (Steckel and Rose, 2002)\n\n\n\nOwn calculations from\nUbelaker (2002)\n\n\nAndrews (1914),\nEccles (1972),\nMcCusker and Menard\n(1985)\n\n\n\nOwn calculations from\nDenevan (2002)\n\n\n\nOwn calculations from\nDenevan (2002)\n\n\n\nPre-colonial\npopulation density\n\n\n\nOwn calculations from\nDenevan (2002) and\nCook (1981)\n\n\n\nFisher (1970), Dobyns\nColonial acitvities\nand Doughty (1976)\n\n\n\nBauza, Francisco (1895);\nRubio, Julián María (1942) <sup>Lombardi (1982)</sup>\n\n\n\nhttp://www.met.utah.edu/jhor\nTemperature INEI Wikipedia.org INE\nel/html/wx/climo.html\n\nhttp://www.met.utah.edu/jhor\nRainfall INEI Wikipedia.org INE\nel/html/wx/climo.html\n\n\n\nGlobal Gazetteer Version 2.1 (www.fallingrain.org)\n\n\n\nAltitude\nIndigenous or U.S. Census Bureau,\nINEI\n<u>black population</u> <u>Population Division</u>\n\n\n\nBucheli and Cabela (2006) INE - 2001 Census\n\n\n\n55\n\nMention: \"INE - 2001 Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census source cited for the table’s population data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003848:57:2", "occurrence_id": "6953f5912c2a5738bdc92709", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Project (Steckel and Rose, 2002)\n\n\n\nOwn calculations from\nUbelaker (2002)\n\n\nAndrews (1914),\nEccles (1972),\nMcCusker and Menard\n(1985)\n\n\n\nOwn calculations from\nDenevan (2002)\n\n\n\nOwn calculations from\nDenevan (2002)\n\n\n\nPre-colonial\npopulation density\n\n\n\nOwn calculations from\nDenevan (2002) and\nCook (1981)\n\n\n\nFisher (1970), Dobyns\nColonial acitvities\nand Doughty (1976)\n\n\n\nBauza, Francisco (1895);\nRubio, Julián María (1942) <sup>Lombardi (1982)</sup>\n\n\n\nhttp://www.met.utah.edu/jhor\nTemperature INEI Wikipedia.org INE\nel/html/wx/climo.html\n\nhttp://www.met.utah.edu/jhor\nRainfall INEI Wikipedia.org INE\nel/html/wx/climo.html\n\n\n\nGlobal Gazetteer Version 2.1 (www.fallingrain.org)\n\n\n\nAltitude\nIndigenous or U.S. Census Bureau,\nINEI\n<u>black population</u> <u>Population Division</u>\n\n\n\nBucheli and Cabela (2006) INE - 2001 Census\n\n\n\n55\n\nMention: \"U.S. Census Bureau\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Population Division source for population-group data in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003848:57:2", "occurrence_id": "3f6e5af7ce15236fd10611eb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Project (Steckel and Rose, 2002)\n\n\n\nOwn calculations from\nUbelaker (2002)\n\n\nAndrews (1914),\nEccles (1972),\nMcCusker and Menard\n(1985)\n\n\n\nOwn calculations from\nDenevan (2002)\n\n\n\nOwn calculations from\nDenevan (2002)\n\n\n\nPre-colonial\npopulation density\n\n\n\nOwn calculations from\nDenevan (2002) and\nCook (1981)\n\n\n\nFisher (1970), Dobyns\nColonial acitvities\nand Doughty (1976)\n\n\n\nBauza, Francisco (1895);\nRubio, Julián María (1942) <sup>Lombardi (1982)</sup>\n\n\n\nhttp://www.met.utah.edu/jhor\nTemperature INEI Wikipedia.org INE\nel/html/wx/climo.html\n\nhttp://www.met.utah.edu/jhor\nRainfall INEI Wikipedia.org INE\nel/html/wx/climo.html\n\n\n\nGlobal Gazetteer Version 2.1 (www.fallingrain.org)\n\n\n\nAltitude\nIndigenous or U.S. Census Bureau,\nINEI\n<u>black population</u> <u>Population Division</u>\n\n\n\nBucheli and Cabela (2006) INE - 2001 Census\n\n\n\n55\n\nMention: \"Global Gazetteer Version 2.1\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Gazetteer source for altitude information.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003881:5:0", "occurrence_id": "2f5da6f34f5e9c1df750dcc2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: generates a sgnificant share of rural income, plays an important role during the low season for\n\n\nagriculture when alternative job opportunities are limited, and is particularly important for women.\n\n\nOuside of Africa, Deininger, Jin and Sur (2007) find for Sri Lanka that infrastructure\n\n\ncontraints negatively affect firm productivity and investment, particularly for small firms. They also\n\n\nshow that new startups are negatively affected by infrastructure constraints. However, the authors do\n\n\nnot analyze growth per se but focus on a number of firm performance indicators. <sup>2</sup> [^2: Dollar, Hallward-Driemeier and Mengistae (2005) also analyze the impact of investment climate on urban firm\nperformance based on panel data.] Fajnzylber,\n\n\nMaloney and Montes (2006) analyze the role of age, education, and many other covariates on firm\n\n\ngrowth for Mexico and find similar effects as for the US. The authors thus conclude that\n\n\nmicroentreprises in Mexico are comparable to those of developed countries since they offer job\n\n\nopportunities to low-productivity workers. Fisman and Svensson (2007) show that institutionnal\n\n\nproblems measure by bribe payments of Ugandan firms is negatively correlated to firm growth.\n\n\nJohnson McMillan and Woodruff (2002) find the same results for Eastern European transition\n\n\neconomies, using property rights protection as the institutional quality indicator.\n\n\nThis analysis uses a unique Rural Investment Climate Survey (RICS) collected by the National\n\n\nBureau of Statistics (NBS) during January and March 2005. <sup>3</sup> [^3: For an overview describing the methodology of the Rural Investment Climate Survey and some comparative findings\nfor Sri Lanka, Nicaragua and Tanzania see World Bank (2007b).] Data was collected using face-to-face\n\n\ninterviews with members of selected rural households, community leaders and owners or managers\n\n\nof nonfarm enterprises. Three separate, but interrelated survey questionnaires for households,\n\n\nenterprises and communities were used to collect data. The survey covers a total of 150 communities,\n\n\n1,239 enterprises and 1,610 households in selected rural areas and small market towns. Agricultural\n\n\nhouseholds\n\nMention: \"Rural Investment Climate Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Primary survey for analysis of rural households, communities, and nonfarm enterprises.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003961:14:0", "occurrence_id": "6309b2e9b89d3f14f1a6d17e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: direct impact on the MWP decision. Causal effects of migration could be identified by a\n\n\nvariation in the instrumental variables since the effect of this variation is entirely\n\n\nchanneled through the household’s migration decision. We used information from the\n\n\n2001 Nepal Census Data (Central Bureau of Statistics 2003) to construct two\n\n\ninstrumental variables: the proportion of internal and abroad migrants in a ward (village)\n\n\nin 2001. We argued that the women’s decisions to participate in market work in 2004\n\n\nshould not be directly affected by the extent of migration networks in 2001, after\n\n\ncontrolling for the then current conditions on the local labor market. Studies of the Nepali\n\n\nlabor market indicate that female and male labor markets are segmented and the rates of\n\n\nfemale paid employment are only marginally affected by changes in labor market\n\n\nconditions for males (Acharya 2003, Bhatt and Bhattarai 2006).\n\n\nThe proportion of migrants in a ward in 2001 could be interpreted as a proxy for\n\n\nthe ward-level networks that help future migrants to migrate (e.g., Carringon,\n\n\nDetragiache, and Vishwanath 1996; Munshi 2003). When in the host country, Nepali\n\n\nmigrants develop extensive social and information networks that link them with relatives\n\n\nand friends in the home country (Yamanaka 2000). Such networks lower the cost of\n\n\nmigration for the population of a ward. Indeed, in Nepal, migrants tend to follow their co\n\nvillagers and migrate to the same destinations (Thieme 2006). They also are likely to fill\n\n\na similar niche in the labor market. The identification strategies that use migrant networks\n\n\nas instruments for migration decisions were applied by Woodraff and Zenteno (2001) and\n\n\nMcKenzie and Rapoport (2005) in studies of migration in Mexico.\n\n\n_Explanatory variables_\n\n\nOur theoretical model guided us on selecting the explanatory variables for the empirical\n\n\nspecification. Conceptually, these variables can be grouped into four categories. The first\n\n\ngroup of variables contains those characteristics of a woman that determine\n\nMention: \"the\n\n\n2001 Nepal Census Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Census data used to construct ward-level migration-network instrumental variables for women’s labor-market participation analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003976:7:0", "occurrence_id": "a3b7f5a2a0d8fbdb7da165e1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: economic status, input taxes based on production inputs such as land, trees and animals,\n\n\nand enterprise taxes. These taxes are thought to be less risky due to absence of factors\n\n\nthat would cause variation and they also have lower transaction costs. Variable taxes\n\n\ncategory includes trade taxes from market exchange of goods in towns and output taxes\n\n\nsuch as taxes on grains, legumes and fibers. These taxes are riskier due to high variability\n\n\nand also carry greater transaction costs for the same reason. Using data from Ottoman\n\n\ntax registers (tahrir defterleri) the authors conduct an ordered probit analysis for the\n\n\ninfluences on tax assignments and find that the proportion of variable taxes are negatively\n\n\nassociated with the higher levels of government lending support to the transaction cost\n\n\nhypothesis which asserts that variable taxes can be more efficiently collected at the local\n\n\nlevel due to lower transaction costs. The key underlying assumption here is that\n\n\ntransaction costs are higher for higher levels of government. The authors conclude that\n\n\ntransaction costs were more important in tax assignment in the Ottoman Empire.\n\n\nHowever, they do not model fixed taxes specifically.\n\n\nIn summary, we see that the taxation system was not as centralized in the early\n\n\nperiod (until the end of the sixteenth century) of the Ottoman Empire as it was in the later\n\n\nperiod. Centralization gained momentum particularly during the Tanzimat\n\n\n(Reorganization) period in the nineteenth century when the empire was declining rapidly\n\n\nand consolidation of power at the center was seen as a solution to prevent total collapse.\n\n\nCentralization that started in the sixteenth century is, by no means, unique to the Ottoman\n\n\nEmpire. In fact, Europe started its transformation from small, decentralized city-states to\n\n\nlarge and centralized territorial states at the end of the fifteenth century. <sup>4</sup> It was also\n\n\n4 Alesina and Spolaore (2003) note that French invasion of Italy in 1494 marks the beginning of the period\nof absolutism in Europe. They argue that main reasons behind\n\nMention: \"Ottoman\n\n\ntax registers\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Tax-register records used in an ordered probit analysis of tax assignments and government lending support.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003976:7:0", "occurrence_id": "8e9bc234c52414758d5a857a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: economic status, input taxes based on production inputs such as land, trees and animals,\n\n\nand enterprise taxes. These taxes are thought to be less risky due to absence of factors\n\n\nthat would cause variation and they also have lower transaction costs. Variable taxes\n\n\ncategory includes trade taxes from market exchange of goods in towns and output taxes\n\n\nsuch as taxes on grains, legumes and fibers. These taxes are riskier due to high variability\n\n\nand also carry greater transaction costs for the same reason. Using data from Ottoman\n\n\ntax registers (tahrir defterleri) the authors conduct an ordered probit analysis for the\n\n\ninfluences on tax assignments and find that the proportion of variable taxes are negatively\n\n\nassociated with the higher levels of government lending support to the transaction cost\n\n\nhypothesis which asserts that variable taxes can be more efficiently collected at the local\n\n\nlevel due to lower transaction costs. The key underlying assumption here is that\n\n\ntransaction costs are higher for higher levels of government. The authors conclude that\n\n\ntransaction costs were more important in tax assignment in the Ottoman Empire.\n\n\nHowever, they do not model fixed taxes specifically.\n\n\nIn summary, we see that the taxation system was not as centralized in the early\n\n\nperiod (until the end of the sixteenth century) of the Ottoman Empire as it was in the later\n\n\nperiod. Centralization gained momentum particularly during the Tanzimat\n\n\n(Reorganization) period in the nineteenth century when the empire was declining rapidly\n\n\nand consolidation of power at the center was seen as a solution to prevent total collapse.\n\n\nCentralization that started in the sixteenth century is, by no means, unique to the Ottoman\n\n\nEmpire. In fact, Europe started its transformation from small, decentralized city-states to\n\n\nlarge and centralized territorial states at the end of the fifteenth century. <sup>4</sup> It was also\n\n\n4 Alesina and Spolaore (2003) note that French invasion of Italy in 1494 marks the beginning of the period\nof absolutism in Europe. They argue that main reasons behind\n\nMention: \"tahrir defterleri\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Alternate name for the tax-register records analyzed in the ordered probit model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003986:26:1", "occurrence_id": "8cd9013d6e1d64897349b828", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Technology Transfers Through the CDM.\n\n\nJoint Implementation Quarterly, 13(3):5-6.\n\n\nWaltz, Kenneth (1979). Theory of International Politics. New York, NY: McGraw-Hill.Waltz,\n\n\n1979\n\n\nWDI, The World Bank (2007). World Development Indicators,\n\n\n<u>[http://publications.worldbank.org/WDI.](http://publications.worldbank.org/WDI)</u>\n\n\nWorld Business Council for Sustainable Development (1998). Technology Cooperation for\n\n\nSustainable Development. Position Brief, Geneva (accessed on June, 2007).\n\n\n25\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Listed as a reference; passage does not specify how the indicator data were used.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:003999:5:1", "occurrence_id": "57605f84bbca4c3c09c4ae65", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  regional disparities in income and welfare have existed for some time in\n\n\nBrazil, there is not a clear consensus on whether it is mainly due to returns to characteristics or the\n\n\ndistribution of characteristics. Our paper explores these issues in more depth. Aside from the fact that we\n\n\nuse consumption instead of income as a measure of welfare, our approach is different from previous\n\n\nstudies in that we (i) disaggregate urban areas into metropolitan and non-metropolitan areas within\n\n\nregions to obtain a more refined picture, and (ii) analyze both differences in mean welfare and differences\n\n\nbetween distributions, using Oaxaca-Blinder and quantile regression decomposition techniques.\n\n\nThis paper is organized as follows. Section 2 presents the methodology for the decomposition of\n\n\nmean welfare differentials and the quantile regression decomposition along with a brief summary of the\n\n\n2002-03 Pesquisa de Orcamentos Familiares household budget survey and the variables used in the\n\n\nanalysis. Section 3 presents the results of these decompositions, and Section 4 concludes and discusses\n\n\nsome of the implications for policy.\n\n\n3\n\nMention: \"Pesquisa de Orcamentos Familiares\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household budget survey and variables used in analysis of regional welfare differences, consumption, and income.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004023:10:0", "occurrence_id": "50050b8111c7a552fb5de4c9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ln _TFP_ = ln _Y_ −α ln _L_ - 1( −α ) ln _K_, where α is the mean labor share over the available\n\n\ntime period. The labor share is derived as the ratio of the wage bill over value added.\n\n\nFixed capital formation used to construct capital stocks, value added, labor and\n\n\nwages, is from the World Bank data set described in Nicita and Olarreaga (2006), all\n\n\nreported in current US dollars at the 3-digit ISIC codes (Revision 2). Value-added is\n\n\ndeflated by the US GDP deflator (1991=100). Fixed capital formation is also deflated by\n\n\nthe US GDP deflator (1991=100), and capital stocks are derived from the deflated fixed\n\n\ncapital formation series using the perpetual inventory method with a 5% depreciation\n\n\nrate. <sup>4</sup> [^4: Given that the data reported in Nicita and Olarreaga (2006) are in current US dollars, we use the US GDP\ndeflator. In the empirical analysis, country-specific as well as year dummies are used in order to control for\nsome of the distortions that might be present because of the conversion.] The _TFP_ index is constructed using the deflated value added, capital stocks, labor\n\n\nand its average income share with the formula provided.\n\n\nR&D expenditure for the 15 OECD countries is taken from OECD ANBERD\n\n\nwith ISIC Revision 2 (2002) covering data from 1973 to 1998, and ANBERD with ISIC\n\n\nRevision 3 (2006) covering data from 1987 on. Since ANBERD ISIC 2 and ISIC 3 have\n\n\n12 years of data overlapping, we are able match the different specifications. The R&D\n\n\nstock in each country is constructed from R&D expenditures using the perpetual\n\n\ninventory method with a 10% depreciation rate.\n\n\nBilateral trade data of the 50 developing countries with the 15 industrialized\n\n\nOECD countries at the 4-digit ISIC 2 level are taken from Nicita and Olarreaga (2006).\n\n\nWe construct bilateral trade shares for each of the 50 developing countries with respect to\n\n\neach of the\n\nMention: \"World Bank data set\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Source for fixed-capital, value-added, labor, and wage variables used to construct capital stocks and total factor productivity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004023:10:0", "occurrence_id": "cbdce33ee580a841aea5f0f3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ln _TFP_ = ln _Y_ −α ln _L_ - 1( −α ) ln _K_, where α is the mean labor share over the available\n\n\ntime period. The labor share is derived as the ratio of the wage bill over value added.\n\n\nFixed capital formation used to construct capital stocks, value added, labor and\n\n\nwages, is from the World Bank data set described in Nicita and Olarreaga (2006), all\n\n\nreported in current US dollars at the 3-digit ISIC codes (Revision 2). Value-added is\n\n\ndeflated by the US GDP deflator (1991=100). Fixed capital formation is also deflated by\n\n\nthe US GDP deflator (1991=100), and capital stocks are derived from the deflated fixed\n\n\ncapital formation series using the perpetual inventory method with a 5% depreciation\n\n\nrate. <sup>4</sup> [^4: Given that the data reported in Nicita and Olarreaga (2006) are in current US dollars, we use the US GDP\ndeflator. In the empirical analysis, country-specific as well as year dummies are used in order to control for\nsome of the distortions that might be present because of the conversion.] The _TFP_ index is constructed using the deflated value added, capital stocks, labor\n\n\nand its average income share with the formula provided.\n\n\nR&D expenditure for the 15 OECD countries is taken from OECD ANBERD\n\n\nwith ISIC Revision 2 (2002) covering data from 1973 to 1998, and ANBERD with ISIC\n\n\nRevision 3 (2006) covering data from 1987 on. Since ANBERD ISIC 2 and ISIC 3 have\n\n\n12 years of data overlapping, we are able match the different specifications. The R&D\n\n\nstock in each country is constructed from R&D expenditures using the perpetual\n\n\ninventory method with a 10% depreciation rate.\n\n\nBilateral trade data of the 50 developing countries with the 15 industrialized\n\n\nOECD countries at the 4-digit ISIC 2 level are taken from Nicita and Olarreaga (2006).\n\n\nWe construct bilateral trade shares for each of the 50 developing countries with respect to\n\n\neach of the\n\nMention: \"OECD ANBERD\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"R&D expenditure series used to construct country-level R&D capital stocks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004028:9:1", "occurrence_id": "b7f9e03ce895d85ee1fb911f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  is extremely recent (the youngest cohorts that we take into\naccount were born in 1980). This contrasts with Black et al. (2004) who use cohorts from 19101960 in the United States and 1947-1958 in Norway and Leon (2004) who uses cohorts from\n1900-1950.\n\n3. Data\n\n\n3.1 The Kenyan Demographic and Health Surveys\n\n**_All data used in this study come from the different rounds of Kenyan Demographic and Health_**\n**_Surveys (DHS)._** DHS are nationally representative household surveys with large sample sizes\n(usually between 5,000 and 30,000 households). DHS questionnaires provide data for a wide\nrange of monitoring and impact evaluation indicators in the areas of population, health, and\nnutrition. To date, there exist 4 Kenyan DHS implemented in 1989, 1993, 1998 and 2003. The\nKenyan DHS adopted a two-stage stratified sampling approach that selected households located\nwithin each primary sampling unit (PSU) or sampling clusters. The locations of the clusters\ngeographically are identifiable within the district and province. In addition to geographical\nstratification of data by cluster and household, it is also possible to stratify these data by ethnicity.\nThe fertility data were collected by asking all women of reproductive age (15-49 years) to\nprovide complete birth histories of all children they had given birth to. Education information is\ncollected simultaneously, and reports the number of years of education of each woman, the\nhighest educational level attended, and completed.\n\n**_We use data from all rounds of the Kenyan DHS, yielding information on 18,777 women aged_**\n**_20-49 when the interview took place._** For our specific analysis, we use 4 rounds of data,\nincluding only women who are at least 20 years old when the interview took place (to have\ncomplete teenage fertility history), and were born after 1955 and before 1980 <sup>8</\n\nMention: \"Kenyan Demographic and Health Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"All study data come from Kenyan DHS rounds; surveys provide population, health, nutrition, fertility, and education measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004028:9:1", "occurrence_id": "33469309079dd729666879e3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  is extremely recent (the youngest cohorts that we take into\naccount were born in 1980). This contrasts with Black et al. (2004) who use cohorts from 19101960 in the United States and 1947-1958 in Norway and Leon (2004) who uses cohorts from\n1900-1950.\n\n3. Data\n\n\n3.1 The Kenyan Demographic and Health Surveys\n\n**_All data used in this study come from the different rounds of Kenyan Demographic and Health_**\n**_Surveys (DHS)._** DHS are nationally representative household surveys with large sample sizes\n(usually between 5,000 and 30,000 households). DHS questionnaires provide data for a wide\nrange of monitoring and impact evaluation indicators in the areas of population, health, and\nnutrition. To date, there exist 4 Kenyan DHS implemented in 1989, 1993, 1998 and 2003. The\nKenyan DHS adopted a two-stage stratified sampling approach that selected households located\nwithin each primary sampling unit (PSU) or sampling clusters. The locations of the clusters\ngeographically are identifiable within the district and province. In addition to geographical\nstratification of data by cluster and household, it is also possible to stratify these data by ethnicity.\nThe fertility data were collected by asking all women of reproductive age (15-49 years) to\nprovide complete birth histories of all children they had given birth to. Education information is\ncollected simultaneously, and reports the number of years of education of each woman, the\nhighest educational level attended, and completed.\n\n**_We use data from all rounds of the Kenyan DHS, yielding information on 18,777 women aged_**\n**_20-49 when the interview took place._** For our specific analysis, we use 4 rounds of data,\nincluding only women who are at least 20 years old when the interview took place (to have\ncomplete teenage fertility history), and were born after 1955 and before 1980 <sup>8</\n\nMention: \"Kenyan DHS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"All rounds supply data for analysis of women’s fertility histories and education.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004034:32:0", "occurrence_id": "938c24d82df1b541e9a77b39", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ##### **Appendix**\n\n**Table A.1: Description of Variables and Sources**\n\n**Dependent variable:**\n\n\nAid Total aid per emergency (2000 US$-PPP)\n_SOURCE: FTS – own calculations_\n\n\n**Impact measures:**\n\n\nNr. affected People requiring immediate assistance during an emergency situation.\n_SOURCE: EM-DAT_\nNr. Killed Persons confirmed dead and persons missing and presumed dead\n_SOURCE: EM-DAT_\n\n\n**Socio-economic indicators:**\n\n\nPopulation Population (one year lag)\n_SOURCE: WDI_\nPopulation density Nr. of people per square km (one year lag)\n_SOURCE: WDI_\nGDP per cap Per capita GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nOil Dummy Dummy = 1 if oil exports exceeds 1/3 of total exports\n_SOURCE: WDI – own calculations_\n\n\n**Policy performance indicators:**\n\n\nTrade openness (Import + Exports) / GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nELF index Ethno-linguistic fractionalization index. Range from 0 (least fract.) to 1 (more\nfract.)\n_SOURCE: Fearon and Laitin, 2003_\nGastil index Democratization index. Sum of _political rights_ and _civil liberties_ indexes.\nBoth indexes range between 1 (most free) and 7 (least free)\n_SOURCE: Freedom House_\n\n\n**Bilateral relations indicators:**\n\n\nAffinity index Affinity index in UNGA recipient - donor voting. Ranges from -1 (least\nsimilar) to 1(more similar). (one year lag)\n_SOURCE: Gartzke, 2002_\nGeogr. distance Donor – recipient’s capital cities distance\n_SOURCE: Gleditsch and Ward, 2001_\nFormer colony Dummy = 1\n\nMention: \"EM-DAT\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source for emergency impact measures: people affected and killed.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004034:32:0", "occurrence_id": "58b4e2559de3279dd9e202aa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ##### **Appendix**\n\n**Table A.1: Description of Variables and Sources**\n\n**Dependent variable:**\n\n\nAid Total aid per emergency (2000 US$-PPP)\n_SOURCE: FTS – own calculations_\n\n\n**Impact measures:**\n\n\nNr. affected People requiring immediate assistance during an emergency situation.\n_SOURCE: EM-DAT_\nNr. Killed Persons confirmed dead and persons missing and presumed dead\n_SOURCE: EM-DAT_\n\n\n**Socio-economic indicators:**\n\n\nPopulation Population (one year lag)\n_SOURCE: WDI_\nPopulation density Nr. of people per square km (one year lag)\n_SOURCE: WDI_\nGDP per cap Per capita GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nOil Dummy Dummy = 1 if oil exports exceeds 1/3 of total exports\n_SOURCE: WDI – own calculations_\n\n\n**Policy performance indicators:**\n\n\nTrade openness (Import + Exports) / GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nELF index Ethno-linguistic fractionalization index. Range from 0 (least fract.) to 1 (more\nfract.)\n_SOURCE: Fearon and Laitin, 2003_\nGastil index Democratization index. Sum of _political rights_ and _civil liberties_ indexes.\nBoth indexes range between 1 (most free) and 7 (least free)\n_SOURCE: Freedom House_\n\n\n**Bilateral relations indicators:**\n\n\nAffinity index Affinity index in UNGA recipient - donor voting. Ranges from -1 (least\nsimilar) to 1(more similar). (one year lag)\n_SOURCE: Gartzke, 2002_\nGeogr. distance Donor – recipient’s capital cities distance\n_SOURCE: Gleditsch and Ward, 2001_\nFormer colony Dummy = 1\n\nMention: \"WDI\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source for population, density, GDP per capita, oil, and trade-openness indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004034:32:0", "occurrence_id": "6bad26a35e68322275d24fea", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ##### **Appendix**\n\n**Table A.1: Description of Variables and Sources**\n\n**Dependent variable:**\n\n\nAid Total aid per emergency (2000 US$-PPP)\n_SOURCE: FTS – own calculations_\n\n\n**Impact measures:**\n\n\nNr. affected People requiring immediate assistance during an emergency situation.\n_SOURCE: EM-DAT_\nNr. Killed Persons confirmed dead and persons missing and presumed dead\n_SOURCE: EM-DAT_\n\n\n**Socio-economic indicators:**\n\n\nPopulation Population (one year lag)\n_SOURCE: WDI_\nPopulation density Nr. of people per square km (one year lag)\n_SOURCE: WDI_\nGDP per cap Per capita GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nOil Dummy Dummy = 1 if oil exports exceeds 1/3 of total exports\n_SOURCE: WDI – own calculations_\n\n\n**Policy performance indicators:**\n\n\nTrade openness (Import + Exports) / GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nELF index Ethno-linguistic fractionalization index. Range from 0 (least fract.) to 1 (more\nfract.)\n_SOURCE: Fearon and Laitin, 2003_\nGastil index Democratization index. Sum of _political rights_ and _civil liberties_ indexes.\nBoth indexes range between 1 (most free) and 7 (least free)\n_SOURCE: Freedom House_\n\n\n**Bilateral relations indicators:**\n\n\nAffinity index Affinity index in UNGA recipient - donor voting. Ranges from -1 (least\nsimilar) to 1(more similar). (one year lag)\n_SOURCE: Gartzke, 2002_\nGeogr. distance Donor – recipient’s capital cities distance\n_SOURCE: Gleditsch and Ward, 2001_\nFormer colony Dummy = 1\n\nMention: \"Gastil index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Democratization indicator defined as the sum of political-rights and civil-liberties indexes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004034:32:0", "occurrence_id": "cd5baaa0930be181e9c9e363", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ##### **Appendix**\n\n**Table A.1: Description of Variables and Sources**\n\n**Dependent variable:**\n\n\nAid Total aid per emergency (2000 US$-PPP)\n_SOURCE: FTS – own calculations_\n\n\n**Impact measures:**\n\n\nNr. affected People requiring immediate assistance during an emergency situation.\n_SOURCE: EM-DAT_\nNr. Killed Persons confirmed dead and persons missing and presumed dead\n_SOURCE: EM-DAT_\n\n\n**Socio-economic indicators:**\n\n\nPopulation Population (one year lag)\n_SOURCE: WDI_\nPopulation density Nr. of people per square km (one year lag)\n_SOURCE: WDI_\nGDP per cap Per capita GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nOil Dummy Dummy = 1 if oil exports exceeds 1/3 of total exports\n_SOURCE: WDI – own calculations_\n\n\n**Policy performance indicators:**\n\n\nTrade openness (Import + Exports) / GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nELF index Ethno-linguistic fractionalization index. Range from 0 (least fract.) to 1 (more\nfract.)\n_SOURCE: Fearon and Laitin, 2003_\nGastil index Democratization index. Sum of _political rights_ and _civil liberties_ indexes.\nBoth indexes range between 1 (most free) and 7 (least free)\n_SOURCE: Freedom House_\n\n\n**Bilateral relations indicators:**\n\n\nAffinity index Affinity index in UNGA recipient - donor voting. Ranges from -1 (least\nsimilar) to 1(more similar). (one year lag)\n_SOURCE: Gartzke, 2002_\nGeogr. distance Donor – recipient’s capital cities distance\n_SOURCE: Gleditsch and Ward, 2001_\nFormer colony Dummy = 1\n\nMention: \"Freedom House\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source for political-rights and civil-liberties measures underlying the democratization index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004034:32:0", "occurrence_id": "81990609072ab215377392cc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ##### **Appendix**\n\n**Table A.1: Description of Variables and Sources**\n\n**Dependent variable:**\n\n\nAid Total aid per emergency (2000 US$-PPP)\n_SOURCE: FTS – own calculations_\n\n\n**Impact measures:**\n\n\nNr. affected People requiring immediate assistance during an emergency situation.\n_SOURCE: EM-DAT_\nNr. Killed Persons confirmed dead and persons missing and presumed dead\n_SOURCE: EM-DAT_\n\n\n**Socio-economic indicators:**\n\n\nPopulation Population (one year lag)\n_SOURCE: WDI_\nPopulation density Nr. of people per square km (one year lag)\n_SOURCE: WDI_\nGDP per cap Per capita GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nOil Dummy Dummy = 1 if oil exports exceeds 1/3 of total exports\n_SOURCE: WDI – own calculations_\n\n\n**Policy performance indicators:**\n\n\nTrade openness (Import + Exports) / GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nELF index Ethno-linguistic fractionalization index. Range from 0 (least fract.) to 1 (more\nfract.)\n_SOURCE: Fearon and Laitin, 2003_\nGastil index Democratization index. Sum of _political rights_ and _civil liberties_ indexes.\nBoth indexes range between 1 (most free) and 7 (least free)\n_SOURCE: Freedom House_\n\n\n**Bilateral relations indicators:**\n\n\nAffinity index Affinity index in UNGA recipient - donor voting. Ranges from -1 (least\nsimilar) to 1(more similar). (one year lag)\n_SOURCE: Gartzke, 2002_\nGeogr. distance Donor – recipient’s capital cities distance\n_SOURCE: Gleditsch and Ward, 2001_\nFormer colony Dummy = 1\n\nMention: \"Gartzke, 2002\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the UN General Assembly recipient–donor voting affinity index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004034:32:0", "occurrence_id": "482d3e13ce2ac454aa5614bc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ##### **Appendix**\n\n**Table A.1: Description of Variables and Sources**\n\n**Dependent variable:**\n\n\nAid Total aid per emergency (2000 US$-PPP)\n_SOURCE: FTS – own calculations_\n\n\n**Impact measures:**\n\n\nNr. affected People requiring immediate assistance during an emergency situation.\n_SOURCE: EM-DAT_\nNr. Killed Persons confirmed dead and persons missing and presumed dead\n_SOURCE: EM-DAT_\n\n\n**Socio-economic indicators:**\n\n\nPopulation Population (one year lag)\n_SOURCE: WDI_\nPopulation density Nr. of people per square km (one year lag)\n_SOURCE: WDI_\nGDP per cap Per capita GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nOil Dummy Dummy = 1 if oil exports exceeds 1/3 of total exports\n_SOURCE: WDI – own calculations_\n\n\n**Policy performance indicators:**\n\n\nTrade openness (Import + Exports) / GDP (one year lag; 2000 US$-PPP)\n_SOURCE: WDI – own calculations_\nELF index Ethno-linguistic fractionalization index. Range from 0 (least fract.) to 1 (more\nfract.)\n_SOURCE: Fearon and Laitin, 2003_\nGastil index Democratization index. Sum of _political rights_ and _civil liberties_ indexes.\nBoth indexes range between 1 (most free) and 7 (least free)\n_SOURCE: Freedom House_\n\n\n**Bilateral relations indicators:**\n\n\nAffinity index Affinity index in UNGA recipient - donor voting. Ranges from -1 (least\nsimilar) to 1(more similar). (one year lag)\n_SOURCE: Gartzke, 2002_\nGeogr. distance Donor – recipient’s capital cities distance\n_SOURCE: Gleditsch and Ward, 2001_\nFormer colony Dummy = 1\n\nMention: \"Gleditsch and Ward, 2001\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for distances between donor and recipient capitals.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004040:28:0", "occurrence_id": "17d4b559439d06f6f00b84f4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Stark, Helmenstein, and Prskawetz (1998) “Human Capital Depletion,\nHuman Capital Formation, and Migration: a Blessing or a curse?” _Economics_\n_Letters_ 60 p363-367\n\n\nStark and Wang (2002)“Inducing human capital formation: migration as a\nsubstitute for subsidies.” _Journal_ _of_ _Public_ _Economics_ 86 p29-46\n\n\nVenables (1996) “Equilibrium Locations of Vertically Linked Industries” _In-_\n_ternational_ _Economic_ _Review_ 37(2) 341-359\n\n\nVenables (2005) “Regional Disparities in Regional Blocs: Theory and Policy”\nPaper prepared for the IADB\n\n\nVidal (1998) “The Effect of Emigration on Human Capital Formation” _Journal_\n_of_ _Population_ _Economics_ .\n\n\nWildasin (2000) “Labor-Market Integration, Investment in Risky Human Capital, and Fiscal Competition” _American_ _Economic_ _Review_ 90(2) p73-95\n\n\n**Online** **Resources**\n\n\nUNDP online data: `[http://esa.un.org/unpp/](http://esa.un.org/unpp/)` UNESCO UIS online data:\n`[http://www.uis.unesco.org/](http://www.uis.unesco.org/)` World Bank Development indicators: `[http:](http://publications.worldbank.org/WDI/)`\n```\n//publications.worldbank.org/WDI/\n\n```\n\n27\n\nMention: \"UNDP online data\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Listed as an online data resource; passage does not specify its use.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004040:28:0", "occurrence_id": "c7d31d76e09debe01c73469a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Stark, Helmenstein, and Prskawetz (1998) “Human Capital Depletion,\nHuman Capital Formation, and Migration: a Blessing or a curse?” _Economics_\n_Letters_ 60 p363-367\n\n\nStark and Wang (2002)“Inducing human capital formation: migration as a\nsubstitute for subsidies.” _Journal_ _of_ _Public_ _Economics_ 86 p29-46\n\n\nVenables (1996) “Equilibrium Locations of Vertically Linked Industries” _In-_\n_ternational_ _Economic_ _Review_ 37(2) 341-359\n\n\nVenables (2005) “Regional Disparities in Regional Blocs: Theory and Policy”\nPaper prepared for the IADB\n\n\nVidal (1998) “The Effect of Emigration on Human Capital Formation” _Journal_\n_of_ _Population_ _Economics_ .\n\n\nWildasin (2000) “Labor-Market Integration, Investment in Risky Human Capital, and Fiscal Competition” _American_ _Economic_ _Review_ 90(2) p73-95\n\n\n**Online** **Resources**\n\n\nUNDP online data: `[http://esa.un.org/unpp/](http://esa.un.org/unpp/)` UNESCO UIS online data:\n`[http://www.uis.unesco.org/](http://www.uis.unesco.org/)` World Bank Development indicators: `[http:](http://publications.worldbank.org/WDI/)`\n```\n//publications.worldbank.org/WDI/\n\n```\n\n27\n\nMention: \"UNESCO UIS online data\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Listed as an online data resource; passage does not specify its use.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004040:28:0", "occurrence_id": "529559c97b9a00a7ed5bd62e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Stark, Helmenstein, and Prskawetz (1998) “Human Capital Depletion,\nHuman Capital Formation, and Migration: a Blessing or a curse?” _Economics_\n_Letters_ 60 p363-367\n\n\nStark and Wang (2002)“Inducing human capital formation: migration as a\nsubstitute for subsidies.” _Journal_ _of_ _Public_ _Economics_ 86 p29-46\n\n\nVenables (1996) “Equilibrium Locations of Vertically Linked Industries” _In-_\n_ternational_ _Economic_ _Review_ 37(2) 341-359\n\n\nVenables (2005) “Regional Disparities in Regional Blocs: Theory and Policy”\nPaper prepared for the IADB\n\n\nVidal (1998) “The Effect of Emigration on Human Capital Formation” _Journal_\n_of_ _Population_ _Economics_ .\n\n\nWildasin (2000) “Labor-Market Integration, Investment in Risky Human Capital, and Fiscal Competition” _American_ _Economic_ _Review_ 90(2) p73-95\n\n\n**Online** **Resources**\n\n\nUNDP online data: `[http://esa.un.org/unpp/](http://esa.un.org/unpp/)` UNESCO UIS online data:\n`[http://www.uis.unesco.org/](http://www.uis.unesco.org/)` World Bank Development indicators: `[http:](http://publications.worldbank.org/WDI/)`\n```\n//publications.worldbank.org/WDI/\n\n```\n\n27\n\nMention: \"World Bank Development indicators\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Listed as a source of development indicators; passage does not specify actual use.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004044:12:1", "occurrence_id": "7a7c8f7b730b676af00c2663", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  What happens to poverty and income distribution when agriculture** **trade distortions are removed?**\n\n\nIn this section, we link the macro outcomes of global agricultural trade reform to the\nchanges in the distribution of income _between_ and _within_ countries. Our analysis is\ncarried out in three stages. First, we briefly examine the macroeconomic results of the\nLINKAGE model, focusing on the variables that are passed on to the household survey\ndata. Second, we consider the income distribution results from a global perspective,\nquantifying the likely changes in global poverty and inequality and identifying groups of\ncountries and individuals that are likely to benefit the most (least) from agricultural trade\nreform. Thirdly, we assess the potential trends in the distribution of income within\ncountries, identifying countries where inequality pressures may heighten and thus erode\nsupport for additional reforms.\n\n###### **_4.1 Macroeconomic general equilibrium results_**\n\nThe LINKAGE simulation analysis has been carried out with the 7.0 pre-release of\nthe GTAP database, which disaggregates global trade into bilateral flows between 101\ncountries/regions in 57 commodity groups. The base year for the simulations is 2004, and\nthe data take into account changes in the global trade and tariff structure due to the\nimplementation of the Uruguay Round commitments, the EU enlargement, China’s\naccession to the WTO, and implementation of most major preferential trade agreements.\nThe model is solved in a comparative static mode, which means that simulations are\n\n\n11\n\nMention: \"GTAP database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Input database for LINKAGE simulations of global trade reform, covering bilateral trade across countries and commodity groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004044:12:1", "occurrence_id": "7b11da27407d536e644320d8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  What happens to poverty and income distribution when agriculture** **trade distortions are removed?**\n\n\nIn this section, we link the macro outcomes of global agricultural trade reform to the\nchanges in the distribution of income _between_ and _within_ countries. Our analysis is\ncarried out in three stages. First, we briefly examine the macroeconomic results of the\nLINKAGE model, focusing on the variables that are passed on to the household survey\ndata. Second, we consider the income distribution results from a global perspective,\nquantifying the likely changes in global poverty and inequality and identifying groups of\ncountries and individuals that are likely to benefit the most (least) from agricultural trade\nreform. Thirdly, we assess the potential trends in the distribution of income within\ncountries, identifying countries where inequality pressures may heighten and thus erode\nsupport for additional reforms.\n\n###### **_4.1 Macroeconomic general equilibrium results_**\n\nThe LINKAGE simulation analysis has been carried out with the 7.0 pre-release of\nthe GTAP database, which disaggregates global trade into bilateral flows between 101\ncountries/regions in 57 commodity groups. The base year for the simulations is 2004, and\nthe data take into account changes in the global trade and tariff structure due to the\nimplementation of the Uruguay Round commitments, the EU enlargement, China’s\naccession to the WTO, and implementation of most major preferential trade agreements.\nThe model is solved in a comparative static mode, which means that simulations are\n\n\n11\n\nMention: \"household survey\ndata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Household survey data receive model variables for assessing distributional and poverty impacts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004047:19:0", "occurrence_id": "3fb86aac2296209ebea7bb69", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: follows: oil was not the only source of export earnings and export of other commodities\n\n\nwere generating considerable income; authorities did not rely on oil sector revenues alone\n\n\nand tried to diversify the economy; the Indonesian government adapted macroeconomic\n\n\npolicies to changing external environment and was committed to a broad development\n\n\nstrategy that emphasize raising rural income and resulted in an interrupted growth (Fig.9)\n\n\nfor three decades and the severe Asian financial crisis in the late 1990s that dampened the\n\n\neconomy was short-lived and further demonstrated the strength of Indonesia\n\n\nfundamentals, evidenced by its quick recovery.\n\n\n**<u>(Fig. 9)</u>** <u>Nigeria: Real GDP Growth from the late 1970s - 2006</u>\n\n\nSource: World Development Indicators Database, World Bank.\n\n\nGood economic policies and institutional features combined with Indonesia’s\n\n\nabundance of labor and non-oil resources as well as with technical changes in the food\n\n\ncrop sector, which oil revenues helped to accelerate by financing the diffusion of\n\n\nimproved techniques; together, they resulted in a distinctive pattern of growth and its\n\n\neconomic performance stands out as being successful and today, Indonesia is considered\n\n\nas a successful emerging economy. The graph below (Fig.10) also shows that agricultural\n\n\nsector still accounts in average about 20 percent of the overall value added of Indonesia’s\n\n\neconomy and it has been the case since the late 1970s.\n\n\n18\n\nMention: \"World Development Indicators Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source for the figure on Nigeria’s real GDP growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004083:28:0", "occurrence_id": "7d6eb3455c2c87427881918f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 5-A. Explanation of Differences in Informality, LAC Countries and Chile**\n\nSchneider Shadow Economy index (% of GDP)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|ARGENTINA<br>(%)<br>80<br>60<br>40<br>20<br>0<br>-20|ARGENTINA|Col3|Col4|Col5|Col6|Col7|BOLIVIA<br>(%)<br>80<br>60<br>40<br>20<br>0<br>-20|BOLIVIA|Col10|Col11|Col12|Col13|Col14|BRAZIL<br>(%)<br>80<br>60<br>40<br>20<br>0<br>-20|BRAZIL|Col17|Col18|Col19|Col20|Col21|\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n|-20<br>0<br>20<br>40<br>60<br>80<br>(%)<br>ARGENTINA|(%)<br>|(%)<br>|(%)<br>|(%)<br>|(%)<br>|(%)<br>|(%)<br>|(%)<br>|(%)<br>|(%)<br>|(\n\nMention: \"Schneider Shadow Economy index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Shadow-economy index used to compare informality across Latin American and Caribbean countries and Chile.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004124:11:0", "occurrence_id": "487b3cadf75ec7a7228b7fb0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <sup>10</sup>\n\n\nobjecting to it on the grounds that MPLADS would be used by national parties to encroach\n\n\nupon the policy domain of lower tier governments ( _[Inter Press Service Global Information](javascript:void%0x280%0x29)_\n\n\n_[Network](javascript:void%0x280%0x29)_, February 1, 1994). The timing and manner of program initiation, and these remarks\n\n\nfrom a political party with predominantly regional strength, suggests that MPLADS may\n\n\nhave been conceived as a vehicle for the dominant national party to channel funds to its\n\n\nMPs in the growing number of states controlled by the opposition. <sup>11</sup> [^11: The MPLADS program appears to have been modeled after a similar program initiated by various\nstate governments to provide constituency-specific allocations to state legislative assembly members\n(MLAs). The MLALADS can similarly have been a political response to declining control of political\nparties in state elections—coalition governments of multiple political parties had become a constant\nfeature of the state-level political landscape.]\n\n\nIn sum, when MPLADS was initiated there appears to have been no political\n\n\nincentive to inform voters about the program as a means of constituency service by\n\n\nlegislators. Correspondingly, there was also no coverage of the program in the media. A\n\n\nsearch on the media database News Plus/Factiva for newspaper coverage of the MPLADS\n\n\nprogram yields only 6 articles in the four and a half year period between October 1993, just\n\n\nbefore MPLADS was introduced in the parliament, and June 1998. Only one article, written\n\n\nin February 1994, discussed the program itself in any significant detail, with the others\n\n\nmentioning it only in passing as part of other stories. Even this single article was published\n\n\nin a less visible media, the Inter Press Service Global Information Network, rather than in a\n\n\nleading newspaper. In sum, the program was not widely politically salient for the first years\n\n\nafter its initiation.\n\n\nThe scenario changed suddenly in 1999 after the Comptroller and Auditor General\n\n\n(CAG\n\nMention: \"the media database News Plus/Factiva\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Searched to count newspaper coverage of MPLADS; search returned six articles across four and a half years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004130:28:0", "occurrence_id": "e13f5c9638ac23b476189912", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 40.00%\n\n\n35.00%\n\n\n30.00%\n\n\n25.00%\n\n\n20.00%\n\n\n15.00%\n\n\n10.00%\n\n\n5.00%\n\n\n0.00%\n\n\n\n**Figure 1: Labor Force Composition (LSMS, 2001-2004)**\n\n|Col1|Col2|Col3|Col4|Col5|\n|---|---|---|---|---|\n||Formal Sector||||\n||||||\n||**Informal Sector**<br>Inactive||||\n||Unemployed||||\n||||||\n||**Self-Employed**||||\n||||||\n||||||\n\n\n\n2001 2002 2003 2004\n\n\n|Table 1: Labor Force Composition in Bosnia and Herzegovina<br>(“Living in Bosnia and Herzegovina”, 2001-2004 averages)|Col2|Col3|Col4|\n|---|---|---|---|\n|<br>**Self-Employed**<br>_Employers_<br>_Own-Account_<br>**Paid Employees**<br>_Formal Sector_<br>_Informal Sector_<br>**Non-Employed**<br>_Unemployed_<br>_Inactive_<br>No. Observations<br>No. Individuals|**BiH**<br>**4.76%**<br>_2.20%_<br>_2.56%_<br>**52.75%**<br>_31.71%_<br>_21.04%_<br>*\n\nMention: \"LSMS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey data used to report Bosnia and Herzegovina’s labor-force composition over 2001–2004.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004156:14:0", "occurrence_id": "6809cbbdfdedf7523a197091", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Madagascar in 2001 and Mauritius in 2003. The results from these surveys are reviewed by\n\nJacques Charmes (2005). For the measurement of time and consumption poverty using the\n\napproach proposed in this paper, household surveys are needed that include both time use and\n\nconsumption data. Currently, time use modules have been included in a range of household\n\nsurveys similar to the Living Standard Measurement Surveys (LSMS) promoted by the World\n\nBank. In Sub-Saharan Africa, examples of LSMS-type surveys with time use modules include\n\nGhana in 1991-92, 1998-99 and 2005-2006 (Harold Coulombe and Wodon, 2009), Guinea in\n\n2002-03 (author’s work, 2006), Malawi in 2004 (Beegle and Wodon, 2006), Mauritania in 2000,\n\nand Sierra Leone in 2003. This is by no means an exhaustive list, but it does indicate that more\n\ndata are becoming available to conduct work on these issues. In turn, the availability of better\n\ndata for time use analysis in developing countries makes it important to provide tools for\n\nanalyzing such data, so that the data end up informing public policies, for example through the\n\ncountries’ Poverty Reduction Strategies.\n\n\n**4.** **Data and results**\n\n**_4.1_** **_Time use statistics_**\n\nTo illustrate time poverty measurement and comparisons, we use data from Guinea for\n\nthe year 2002-2003. The data are from the EIBEP ( _Enquête Intégrale de Base pour l’Evaluation_\n\n_de la Pauvreté_ ) survey implemented between October 2002 and October 2003 by the _Direction_\n\n\n\n_nationale de la statistique_ (DNS) of the Ministry of Planning. <sup>6</sup>\n\n\n\nThe Republic of Guinea, in West\n\n\n\nAfrica, is a country of about 9 million people, 75 per cent of whom live in\n\nMention: \"Living Standard Measurement Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Describes LSMS-type household surveys as sources of time-use data relevant to measuring time and consumption poverty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004156:14:0", "occurrence_id": "bb0a21d4814468a339212a9d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Madagascar in 2001 and Mauritius in 2003. The results from these surveys are reviewed by\n\nJacques Charmes (2005). For the measurement of time and consumption poverty using the\n\napproach proposed in this paper, household surveys are needed that include both time use and\n\nconsumption data. Currently, time use modules have been included in a range of household\n\nsurveys similar to the Living Standard Measurement Surveys (LSMS) promoted by the World\n\nBank. In Sub-Saharan Africa, examples of LSMS-type surveys with time use modules include\n\nGhana in 1991-92, 1998-99 and 2005-2006 (Harold Coulombe and Wodon, 2009), Guinea in\n\n2002-03 (author’s work, 2006), Malawi in 2004 (Beegle and Wodon, 2006), Mauritania in 2000,\n\nand Sierra Leone in 2003. This is by no means an exhaustive list, but it does indicate that more\n\ndata are becoming available to conduct work on these issues. In turn, the availability of better\n\ndata for time use analysis in developing countries makes it important to provide tools for\n\nanalyzing such data, so that the data end up informing public policies, for example through the\n\ncountries’ Poverty Reduction Strategies.\n\n\n**4.** **Data and results**\n\n**_4.1_** **_Time use statistics_**\n\nTo illustrate time poverty measurement and comparisons, we use data from Guinea for\n\nthe year 2002-2003. The data are from the EIBEP ( _Enquête Intégrale de Base pour l’Evaluation_\n\n_de la Pauvreté_ ) survey implemented between October 2002 and October 2003 by the _Direction_\n\n\n\n_nationale de la statistique_ (DNS) of the Ministry of Planning. <sup>6</sup>\n\n\n\nThe Republic of Guinea, in West\n\n\n\nAfrica, is a country of about 9 million people, 75 per cent of whom live in\n\nMention: \"data from Guinea\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Guinea data used to illustrate time-poverty measurement and comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004156:14:0", "occurrence_id": "866c16be52816f22907d4fc6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Madagascar in 2001 and Mauritius in 2003. The results from these surveys are reviewed by\n\nJacques Charmes (2005). For the measurement of time and consumption poverty using the\n\napproach proposed in this paper, household surveys are needed that include both time use and\n\nconsumption data. Currently, time use modules have been included in a range of household\n\nsurveys similar to the Living Standard Measurement Surveys (LSMS) promoted by the World\n\nBank. In Sub-Saharan Africa, examples of LSMS-type surveys with time use modules include\n\nGhana in 1991-92, 1998-99 and 2005-2006 (Harold Coulombe and Wodon, 2009), Guinea in\n\n2002-03 (author’s work, 2006), Malawi in 2004 (Beegle and Wodon, 2006), Mauritania in 2000,\n\nand Sierra Leone in 2003. This is by no means an exhaustive list, but it does indicate that more\n\ndata are becoming available to conduct work on these issues. In turn, the availability of better\n\ndata for time use analysis in developing countries makes it important to provide tools for\n\nanalyzing such data, so that the data end up informing public policies, for example through the\n\ncountries’ Poverty Reduction Strategies.\n\n\n**4.** **Data and results**\n\n**_4.1_** **_Time use statistics_**\n\nTo illustrate time poverty measurement and comparisons, we use data from Guinea for\n\nthe year 2002-2003. The data are from the EIBEP ( _Enquête Intégrale de Base pour l’Evaluation_\n\n_de la Pauvreté_ ) survey implemented between October 2002 and October 2003 by the _Direction_\n\n\n\n_nationale de la statistique_ (DNS) of the Ministry of Planning. <sup>6</sup>\n\n\n\nThe Republic of Guinea, in West\n\n\n\nAfrica, is a country of about 9 million people, 75 per cent of whom live in\n\nMention: \"EIBEP\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EIBEP survey used for the study’s time-use and poverty comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004168:10:1", "occurrence_id": "157d301b9a53483a3dba4921", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  with very low poverty rates, but poverty measures then rose sharply in the\n\ntransition. <sup>18</sup> The earliest available surveys pick up these low poverty rates, with a number of\n\n\ncountries having no sampled household living below the poverty lines typical of developing\n\n\ncountries. With the subsequent rise in poverty incidence, this looks like ―convergence,‖ but it has\n\n\nlittle or nothing to do with neoclassical growth processes—rather it is a ―policy convergence‖\n\n\n15 It is known that aggregation can hide the true relationships between the initial distribution and growth,\ngiven the nonlinearities involved at the micro level (Ravallion, 1998); identifying the deeper structural relationships\nwould require micro data, and even then the identification problems can be formidable.\n16 The only exception was that urban surveys were also used (for both the first and last survey) for Uruguay\nwhere over 90% of the population lives in urban areas. Results were robust to dropping these urban surveys.\n17 The data set was constructed from _<u>[PovcalNet](http://econ.worldbank.org/povcalnet)</u>_ in December 2008.\n18 Prior to the global financial crisis there were signs that poverty measures were finally falling in the region,\nsince the later 1990s; see Chen and Ravallion (2010).\n\n\n9\n\nMention: \"povcalnet\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"The study’s poverty dataset was constructed from PovcalNet in December 2008.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004170:4:0", "occurrence_id": "09b04948538a3236e5829477", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3 \nreach the students who are supposed to benefit from the program.  However, parents could \nreact by reallocating food in the household away from these children who are already benefiting \nfrom the program. Food received by the household under THR is more likely to be shared by other \nhousehold members, hence reaching children who may be in need of additional food. Because the \nnutritional benefits would be diluted within the household, the impact on academic performance is \nlikely to be lower for THR than with a school meals program. Which program should be \npreferred is depends both on the policy objectives as well as on the evidence base.  The latter \nempirical question is addressed by this paper.  \nThe  paper  uses  a  randomized  experiment  to  assess  the  hypothesized  relationships  between \nSFPs on the one hand, and enrollment, academic performance, cognitive development and preschool \nchildren nutritional status on the other hand. The focus of this study is the Sahel region of northern \nBurkina Faso in West Africa. Northern Burkina Faso is an appropriate context to evaluate the \nimpact of school feeding program for two main reasons. First, the region has some the world’s \nlowest primary school participation. On average 20 percent of school age children (6 to 16 years old) \nattend school, based on recent national surveys (e.g. Institut National de la Statistique et de la \nDémographie & ORC Macro, 2004). Therefore there exists a large scope for increasing enrollment. \nSecond, income levels are very low and severe food shortages are frequent (Zoungrana et al., 1999).  \nHence, the value of the food offered should be a sufficient incentive to attract children to school.  \nOur analysis adds to the literature on education in low-income countries in two ways. \nFirst, it rigorously evaluates the impact of two alternative school feeding schemes within the same \ncontext. The use of a randomized experiment has the advantage of avoiding the issue of site \nselection that may have limited the causal interpretation of many previous studies. Hence the paper\n\nMention: \"Institut National de la Statistique et de la \nDémographie\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"National survey evidence for the region’s school-age participation rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004170:4:0", "occurrence_id": "07b962dff4075c4d4eb6c4d5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3 \nreach the students who are supposed to benefit from the program.  However, parents could \nreact by reallocating food in the household away from these children who are already benefiting \nfrom the program. Food received by the household under THR is more likely to be shared by other \nhousehold members, hence reaching children who may be in need of additional food. Because the \nnutritional benefits would be diluted within the household, the impact on academic performance is \nlikely to be lower for THR than with a school meals program. Which program should be \npreferred is depends both on the policy objectives as well as on the evidence base.  The latter \nempirical question is addressed by this paper.  \nThe  paper  uses  a  randomized  experiment  to  assess  the  hypothesized  relationships  between \nSFPs on the one hand, and enrollment, academic performance, cognitive development and preschool \nchildren nutritional status on the other hand. The focus of this study is the Sahel region of northern \nBurkina Faso in West Africa. Northern Burkina Faso is an appropriate context to evaluate the \nimpact of school feeding program for two main reasons. First, the region has some the world’s \nlowest primary school participation. On average 20 percent of school age children (6 to 16 years old) \nattend school, based on recent national surveys (e.g. Institut National de la Statistique et de la \nDémographie & ORC Macro, 2004). Therefore there exists a large scope for increasing enrollment. \nSecond, income levels are very low and severe food shortages are frequent (Zoungrana et al., 1999).  \nHence, the value of the food offered should be a sufficient incentive to attract children to school.  \nOur analysis adds to the literature on education in low-income countries in two ways. \nFirst, it rigorously evaluates the impact of two alternative school feeding schemes within the same \ncontext. The use of a randomized experiment has the advantage of avoiding the issue of site \nselection that may have limited the causal interpretation of many previous studies. Hence the paper\n\nMention: \"ORC Macro\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Co-cited source for national survey evidence on school participation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004279:7:0", "occurrence_id": "9cc9bff172c45bf6ebe8dfc0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Economic theory details how problems arising from asymmetric information undermine\n\n\neconomic incentives to such an extent that it may be impossible to serve the under-served\n\n\n(Akerlof 1970 and Stiglitz 1974). The major contribution of microfinance has been to\n\n\ndemonstrate innovative contracts that, both in practice and in theory, can make commercial\n\n\nlending to the poor viable. Gangopadhyay and Lensink (2009), for example, build on previous\n\n\nwork on joint liability borrowing to show how contracts can mitigate adverse selection.\n\n\nArmendáriz and Morduch (2010) show how microfinance contracts reduce moral hazard.\n\n\nIn our 2007 analysis of the MIX data, we investigate the role of contracts empirically\n\n\n(Cull et al. 2007). The study considers lenders that offer different kinds of contracts:\n\n\nconventional bilateral lending agreements, Grameen Bank-style group contracts, and “village\n\n\nbanks” that also use group-based methods. Using one observation per institution from 1999 to\n\n\n2002, we focus on qualitative information on institutions’ lending style, range of services\n\n\noffered, profit status, ownership structure, and source of funds. We include a “lending type”\n\n\nvariable that categorizes institutions, separating individual-based lenders, group-based lenders,\n\n\nand village banks. For our profitability regressions, the primary dependent variable is the\n\n\nfinancial self-sufficiency ratio (FSS), a ratio of revenues and expenses adjusted to account for\n\n\nsubsidies. We also regress two other measures of profitability, the operational self-sufficiency\n\n\nratio (OSS) and return on assets (ROA). A second set of regressions uses “portfolio at risk” as\n\n\nthe dependent variable, and a third investigates mission drift by regressing three outreach\n\n\nvariables. In this third set, the dependent variables are average loan size over GNP, average loan\n\n\nsize relative to the average per capita income of the bottom 20% for the country, and the share of\n\n\nborrowers that are women. While some observers define mission drift narrowly, in terms\n\nMention: \"the MIX data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Institution-level MIX data used to analyze microfinance lenders’ contracts, profitability, portfolio risk, and outreach over 1999–2002.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004297:14:2", "occurrence_id": "17f08a31a73e7400c15f9698", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  16.1 38.0 12.5 46.4 21.9 63.5 21.4 68.2\nSucumbíos 8.3 31.4 9.7 36.0 12.7 50.8 11.4 50.8\n<u>Orellana</u> <u>9.5</u> <u>40.8</u> <u>30.2</u> <u>58.8</u> <u>28.9</u> <u>72.6</u> <u>23.9</u> <u>66.5</u>\n_Source:_ Own calculations based on ECV Survey.\n\n\n\n**Profile**\n\n\n\n<u>5. Decompositions at the Regional Level</u>\n\n\nThis section expands the analysis from national to regional level. The analysis clearly reveals that for both\nthe Sierra and the Costa, demographics and education account for the largest share in total log welfare\nratio (Table 9). In the Costa, demographic factors account for about 28 percent of the differential in log\nwelfare ratio, and education for more than 79 percent. In the Sierra, demographic factors account for\nabout 32 percent of the differential in log welfare ratio, and education for more than 74 percent. In\nOriente, the difference in the constant term accounts for the largest share in living standards, which means\nthat a married couple, both illiterate, with male indigenous household head who owns a house and is an\nemployee living in the urban Oriente has a mean log welfare ratio 0.72 higher than a household with the\nsame characteristics located in the rural Oriente.\n\n\n**Table 9. Contribution of Variables to Average Level of Log Welfare Ratio by Region**\n\n**<u>Urban-Rural Difference</u>**\n**<u>Sierra</\n\nMention: \"ECV Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey basis for regional welfare-ratio calculations and decomposition of differences by demographic and education factors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004313:8:2", "occurrence_id": "fb89eeb046cd97acb689d627", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: </u> <u>0.2</u> <u>44.9</u> <u>45.1</u> <u>0.6</u>\n\n_Source:_ Authors’ calculation based on LFS, 2003-2007\n\n\nThe agriculture sector is the major source of employment for the least educated in the Philippines,\nwhile the services sector is the major source of employment for the best educated. Patterns of\nemployment slightly differ between the male and female labor force. While the majority of the\n\n\n4 In average, Filipino labor force works for 8 hours per day and for 45 hours per week. Workers with high school\ncertificate have the longest working hours per week, while workers with no grade (of which a majority works in\nagricultural sector) have the shortest.\n\n\n7\n\nMention: \"LFS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Labor-force survey data used to calculate employment patterns by education, sex, and sector.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004345:44:0", "occurrence_id": "c37212b10ef2ff697256e66c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Spatial variables**\n\nAs explained in detail in section 3, three different neighborhood weights matrices\n(referred to in the main text as **W1**, **W2** and **W3** ) were used to construct variables\nmeasuring the weighted average growth rate of a country's neighbors. The contiguity\ndata used to construct **W1** is from the Correlates of War (COW) v 3.1 direct contiguity\ndataset and was downloaded from <u>www.correlatesofwar.org/COW2%20Data/dDDirect</u>\n<u>Contiguity/DCV3desc.htm. Meanwhile, the weights in</u> **<u>W2</u>** are based on the weighted\naverage of the bilateral distances between cities of population greater than 100,000 in\ncountries _i_ and _j_ . The population data used to identify these cities is from the Global\nRural Urban Mapping Project (GRUMP) database, Center for International Earth Science\nInformation Network (CIESIN), the Earth Institute, Columbia University. This data was\ndownloaded from <u>http://sedac.ciesin.columbia.edu/gpw/. Distances between cities are</u>\nmeasured using the great circle method. Finally, the regional trade agreement (RTA)\ndata used to construct **W3** was kindly supplied by Souylemane Coulibaly and was\noriginally sourced from the World Trade Organization. The RTAs included in **W3** are\nlisted in table A1 below.\n\n**<u>Table A1: List of Regional Trade Agreements (RTAs) included in the definition of W3</u>**\n**<u>Association of Southeast Asian Nations (ASEAN)<\n\nMention: \"Global\nRural Urban Mapping Project\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Population data used to identify cities above 100,000 people for bilateral-distance weights in W2.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004345:44:0", "occurrence_id": "a051861f22765f675d905a23", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Spatial variables**\n\nAs explained in detail in section 3, three different neighborhood weights matrices\n(referred to in the main text as **W1**, **W2** and **W3** ) were used to construct variables\nmeasuring the weighted average growth rate of a country's neighbors. The contiguity\ndata used to construct **W1** is from the Correlates of War (COW) v 3.1 direct contiguity\ndataset and was downloaded from <u>www.correlatesofwar.org/COW2%20Data/dDDirect</u>\n<u>Contiguity/DCV3desc.htm. Meanwhile, the weights in</u> **<u>W2</u>** are based on the weighted\naverage of the bilateral distances between cities of population greater than 100,000 in\ncountries _i_ and _j_ . The population data used to identify these cities is from the Global\nRural Urban Mapping Project (GRUMP) database, Center for International Earth Science\nInformation Network (CIESIN), the Earth Institute, Columbia University. This data was\ndownloaded from <u>http://sedac.ciesin.columbia.edu/gpw/. Distances between cities are</u>\nmeasured using the great circle method. Finally, the regional trade agreement (RTA)\ndata used to construct **W3** was kindly supplied by Souylemane Coulibaly and was\noriginally sourced from the World Trade Organization. The RTAs included in **W3** are\nlisted in table A1 below.\n\n**<u>Table A1: List of Regional Trade Agreements (RTAs) included in the definition of W3</u>**\n**<u>Association of Southeast Asian Nations (ASEAN)<\n\nMention: \"Correlates of War\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Direct-contiguity dataset used to construct neighborhood weights matrix W1.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004345:44:0", "occurrence_id": "e69b59cff318230a6c0e5851", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Spatial variables**\n\nAs explained in detail in section 3, three different neighborhood weights matrices\n(referred to in the main text as **W1**, **W2** and **W3** ) were used to construct variables\nmeasuring the weighted average growth rate of a country's neighbors. The contiguity\ndata used to construct **W1** is from the Correlates of War (COW) v 3.1 direct contiguity\ndataset and was downloaded from <u>www.correlatesofwar.org/COW2%20Data/dDDirect</u>\n<u>Contiguity/DCV3desc.htm. Meanwhile, the weights in</u> **<u>W2</u>** are based on the weighted\naverage of the bilateral distances between cities of population greater than 100,000 in\ncountries _i_ and _j_ . The population data used to identify these cities is from the Global\nRural Urban Mapping Project (GRUMP) database, Center for International Earth Science\nInformation Network (CIESIN), the Earth Institute, Columbia University. This data was\ndownloaded from <u>http://sedac.ciesin.columbia.edu/gpw/. Distances between cities are</u>\nmeasured using the great circle method. Finally, the regional trade agreement (RTA)\ndata used to construct **W3** was kindly supplied by Souylemane Coulibaly and was\noriginally sourced from the World Trade Organization. The RTAs included in **W3** are\nlisted in table A1 below.\n\n**<u>Table A1: List of Regional Trade Agreements (RTAs) included in the definition of W3</u>**\n**<u>Association of Southeast Asian Nations (ASEAN)<\n\nMention: \"World Trade Organization\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Regional trade agreement data used to construct neighborhood weights matrix W3.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004382:6:0", "occurrence_id": "ced1dfb66e3328c49d8cf915", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: areas were combined with areas that already had the NGO P4P schemes. Because P4P could not\n\n\nbe “removed” from health facilities that were already implementing the system, the GoR\n\n\nrequired that all facilities within those new districts be reassigned to treatment. This led the\n\n\nevaluation team to switch the assignment of treatment and comparison for two of the eight pairs.\n\n\nAs a result, 166 of Rwanda’s 401 primary care facilities were included in the study.\n\n\nThe facilities in the treatment group started receiving P4P in 2006, while the facilities in\n\n\nthe comparison group continued with input-based financing for an additional 24 months. P4P\n\n\nwas implemented in treatment districts over a 5-month period, yielding a minimum 18-month\n\n\nexposure period. Since a primary objective of the evaluation was to isolate the P4P incentive\n\n\neffect separately from the effect of an increase in financial resources, it was necessary to hold the\n\n\nlevel of resources constant across treatment and comparison facilities. To accomplish this,\n\n\ncomparison facilities’ input-based budgets were increased by the average amount of P4P\n\n\npayments to treatment facilities on a quarterly basis during the 24-month treatment window.\n\n\nWe conducted a baseline survey and a follow-up survey 24 months later of the 166\n\n\nfacilities, as well as a random sample of 13 households living in each facility’s catchment area.\n\n\nFor the household sample, we first sampled 13 zones (each with approximately 15-20\n\n\nhouseholds) from each facility’s official list of zones in their catchment area. We then physically\n\n\nlisted all households in the sampled zones and randomly selected one household with at least one\n\n\nchild under 6 years old from each zone. This sample size is large enough to estimate program\n\n\neffects of at least 30% in the number of prenatal care visits and the probability of an institutional\n\n\ndelivery with 90% power and a significance level of 0.05 based on data and intra-cluster\n\n\ncorrelations from the 2005 Rwandan DHS data in rural areas.\n\nMention: \"2005 Rwandan DHS data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"DHS data and intracluster correlations informed power calculations for prenatal-care and institutional-delivery outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004382:6:0", "occurrence_id": "2c439ea6c235cc9e9ef90ebe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: areas were combined with areas that already had the NGO P4P schemes. Because P4P could not\n\n\nbe “removed” from health facilities that were already implementing the system, the GoR\n\n\nrequired that all facilities within those new districts be reassigned to treatment. This led the\n\n\nevaluation team to switch the assignment of treatment and comparison for two of the eight pairs.\n\n\nAs a result, 166 of Rwanda’s 401 primary care facilities were included in the study.\n\n\nThe facilities in the treatment group started receiving P4P in 2006, while the facilities in\n\n\nthe comparison group continued with input-based financing for an additional 24 months. P4P\n\n\nwas implemented in treatment districts over a 5-month period, yielding a minimum 18-month\n\n\nexposure period. Since a primary objective of the evaluation was to isolate the P4P incentive\n\n\neffect separately from the effect of an increase in financial resources, it was necessary to hold the\n\n\nlevel of resources constant across treatment and comparison facilities. To accomplish this,\n\n\ncomparison facilities’ input-based budgets were increased by the average amount of P4P\n\n\npayments to treatment facilities on a quarterly basis during the 24-month treatment window.\n\n\nWe conducted a baseline survey and a follow-up survey 24 months later of the 166\n\n\nfacilities, as well as a random sample of 13 households living in each facility’s catchment area.\n\n\nFor the household sample, we first sampled 13 zones (each with approximately 15-20\n\n\nhouseholds) from each facility’s official list of zones in their catchment area. We then physically\n\n\nlisted all households in the sampled zones and randomly selected one household with at least one\n\n\nchild under 6 years old from each zone. This sample size is large enough to estimate program\n\n\neffects of at least 30% in the number of prenatal care visits and the probability of an institutional\n\n\ndelivery with 90% power and a significance level of 0.05 based on data and intra-cluster\n\n\ncorrelations from the 2005 Rwandan DHS data in rural areas.\n\nMention: \"baseline survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Baseline facility and household survey for the P4P evaluation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004382:6:0", "occurrence_id": "da617dde058cbc46b773ce45", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: areas were combined with areas that already had the NGO P4P schemes. Because P4P could not\n\n\nbe “removed” from health facilities that were already implementing the system, the GoR\n\n\nrequired that all facilities within those new districts be reassigned to treatment. This led the\n\n\nevaluation team to switch the assignment of treatment and comparison for two of the eight pairs.\n\n\nAs a result, 166 of Rwanda’s 401 primary care facilities were included in the study.\n\n\nThe facilities in the treatment group started receiving P4P in 2006, while the facilities in\n\n\nthe comparison group continued with input-based financing for an additional 24 months. P4P\n\n\nwas implemented in treatment districts over a 5-month period, yielding a minimum 18-month\n\n\nexposure period. Since a primary objective of the evaluation was to isolate the P4P incentive\n\n\neffect separately from the effect of an increase in financial resources, it was necessary to hold the\n\n\nlevel of resources constant across treatment and comparison facilities. To accomplish this,\n\n\ncomparison facilities’ input-based budgets were increased by the average amount of P4P\n\n\npayments to treatment facilities on a quarterly basis during the 24-month treatment window.\n\n\nWe conducted a baseline survey and a follow-up survey 24 months later of the 166\n\n\nfacilities, as well as a random sample of 13 households living in each facility’s catchment area.\n\n\nFor the household sample, we first sampled 13 zones (each with approximately 15-20\n\n\nhouseholds) from each facility’s official list of zones in their catchment area. We then physically\n\n\nlisted all households in the sampled zones and randomly selected one household with at least one\n\n\nchild under 6 years old from each zone. This sample size is large enough to estimate program\n\n\neffects of at least 30% in the number of prenatal care visits and the probability of an institutional\n\n\ndelivery with 90% power and a significance level of 0.05 based on data and intra-cluster\n\n\ncorrelations from the 2005 Rwandan DHS data in rural areas.\n\nMention: \"follow-up survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Follow-up facility and household survey 24 months after baseline for the P4P evaluation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004421:19:1", "occurrence_id": "0d5fac1c96859664387f004b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of ICP data across survey rounds have loomed large, and\n\n\nhave reinforced past practices of not mixing PPPs across ICP rounds.\n\n\nThis paper has tried to make sense of the PPP changes between ICP rounds. The paper\n\n\nreports new evidence consistent with the existence of a Balassa-Samuelson effect over time such\n\n\nthat the PPP rises relative to the exchange rate in a growing economy. There are signs that this\n\n\nonly starts to happen with a sufficiently high growth rate. The paper finds that this “dynamic\n\n\nPenn effect” is even stronger in initially poorer countries. Thus the widely-observed static Penn\n\n\neffect (whereby the price level index is lower in poorer countries) has been attenuated over time.\n\n\nThe higher price levels (lower real exchange rates) for many developing countries\n\n\nimplied by the 2005 ICP are accountable in part to their economic growth. On its own, the\n\n\ndynamic Penn effect accounts for about one fifth of the variance in the proportionate changes in\n\n\nthe price levels over 1993-2005, rising to one half over 1985-2005. An augmented version of the\n\n\n18\n\nMention: \"ICP data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ICP purchasing-power-parity data across rounds are analyzed to quantify price-level changes associated with economic growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004447:26:0", "occurrence_id": "d96d57e3dba10255682e9cd5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Tarr, David G. 2007. Russian Accession to the WTO: An Assessment. _Eurasian Geography and_\n_Economics_, Vol. 48, No. 3, May-June, 306-319.\n\n\nTarr, David, and Peter Thomson. 2005. The Merits of Dual Pricing of Russian Natural Gas. _The_\n_World Economy_, Vol. 27, Issue 8. August 2004, 1173-1194\n\n\nU.S. Trade Representative. 2006. Fact Sheets on the Russia-United States Bilateral Agreement on\nRussian WTO Accession, November. Available at\nhttp://www.ustr.gov/Document_Library/Press_Releases/2006/November/United_States,_Russia_\nSign_Bilateral_WTO_Market_Access_Agreement_Negotiations_on_WTO_Membership_Now_\nMove_to_the_Multilateral_Pha.html.\n\n\nWorld Bank. 2010.. Doing Business 2010. Available at http://www.doingbusiness.org/\n\n\nWorld Bank. 2010. Enterprise Surveys 2009. Available at http://www.enterprisesurveys.org\n\n\nWorld Bank, 2009. Russia Economic Report Number 19, June. Available at http://.\n<u>www.worldbank.org/ru.</u>\n\n\nWorld Bank. Logistic Performance Index 2007. Available at\n<u>http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTTRANSPORT/EXTTLF/0,,conte</u>\n<u>ntMDK:21514122~menuPK:3875957~pagePK:210058~piPK:210062~theSitePK:515434,00.htm</u>\n<u>l</u>\n\n\nWorld Trade Organization. 2005. Technical Note on the Accession Process\n\nMention: \"Enterprise Surveys 2009\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Listed as a World Bank data resource; passage does not describe its use.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004447:26:0", "occurrence_id": "8e5e905537f3bb8251ab50a1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Tarr, David G. 2007. Russian Accession to the WTO: An Assessment. _Eurasian Geography and_\n_Economics_, Vol. 48, No. 3, May-June, 306-319.\n\n\nTarr, David, and Peter Thomson. 2005. The Merits of Dual Pricing of Russian Natural Gas. _The_\n_World Economy_, Vol. 27, Issue 8. August 2004, 1173-1194\n\n\nU.S. Trade Representative. 2006. Fact Sheets on the Russia-United States Bilateral Agreement on\nRussian WTO Accession, November. Available at\nhttp://www.ustr.gov/Document_Library/Press_Releases/2006/November/United_States,_Russia_\nSign_Bilateral_WTO_Market_Access_Agreement_Negotiations_on_WTO_Membership_Now_\nMove_to_the_Multilateral_Pha.html.\n\n\nWorld Bank. 2010.. Doing Business 2010. Available at http://www.doingbusiness.org/\n\n\nWorld Bank. 2010. Enterprise Surveys 2009. Available at http://www.enterprisesurveys.org\n\n\nWorld Bank, 2009. Russia Economic Report Number 19, June. Available at http://.\n<u>www.worldbank.org/ru.</u>\n\n\nWorld Bank. Logistic Performance Index 2007. Available at\n<u>http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTTRANSPORT/EXTTLF/0,,conte</u>\n<u>ntMDK:21514122~menuPK:3875957~pagePK:210058~piPK:210062~theSitePK:515434,00.htm</u>\n<u>l</u>\n\n\nWorld Trade Organization. 2005. Technical Note on the Accession Process\n\nMention: \"Logistic Performance Index 2007\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Listed as a World Bank logistics indicator resource; passage does not describe its use.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004478:24:0", "occurrence_id": "214314113eef318c703fd2b2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (ISCED76) to ISCED97. Recent data are provisional. Secondary school pupilteacher ratio is the number of pupils enrolled in secondary school divided by\nthe number of secondary school teachers (regardless of their teaching\nassignment). United Nations Educational, Scientific, and Cultural Organization\n(UNESCO) Institute for Statistics. Source: World Bank WDI.\n\n<u>Governance indicators:</u>\n\n  - **Government effectiveness** . Measures the quality of public services, the\n\nquality of the civil service and the degree of its independence from political\npressures, the quality of policy formulation and implementation, and the\ncredibility of the government's commitment to such policies (estimate).\nSource: Kaufman governance indicators.\n\n  - **Control of corruption** . Measures the extent to which public power is\n\nexercised for private gain, including both petty and grand forms of corruption,\nas well as \"capture\" of the state by elites and private interests In brief our\nmethodology (estimate). Source: Kaufman governance indicators.\n\n  - **Voice and accountability** . Measures the extent to which a country's citizens\n\nare able to participate in selecting their government, as well as freedom of\nexpression, freedom of association, and a free media (estimate). Source:\nKaufman governance indicators.\n\n  - **Corruption perception index** . Corruption perception index (1995-2006).\n\nSource:\n<u>http://www.transparency.org/policy_research/surveys_indices/cpi/2008</u>\n\n<u>Government Investment</u>\n\n  - **General Government final Consumption Expenditure per Capita.** General\n\nGovernment final Consumption Expenditure per Capita (current US$) (average\n2002-2006). Source: World Bank. WDI.\n\n<u>Taxes:</u>\n\n  - **Trade tax** . Import tax, export tax plus other trade duties (as a\n\nMention: \"Corruption perception index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Corruption-perception indicator listed for analysis over 1995–2006.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004478:24:0", "occurrence_id": "d4a9f69f669159b37679eda7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (ISCED76) to ISCED97. Recent data are provisional. Secondary school pupilteacher ratio is the number of pupils enrolled in secondary school divided by\nthe number of secondary school teachers (regardless of their teaching\nassignment). United Nations Educational, Scientific, and Cultural Organization\n(UNESCO) Institute for Statistics. Source: World Bank WDI.\n\n<u>Governance indicators:</u>\n\n  - **Government effectiveness** . Measures the quality of public services, the\n\nquality of the civil service and the degree of its independence from political\npressures, the quality of policy formulation and implementation, and the\ncredibility of the government's commitment to such policies (estimate).\nSource: Kaufman governance indicators.\n\n  - **Control of corruption** . Measures the extent to which public power is\n\nexercised for private gain, including both petty and grand forms of corruption,\nas well as \"capture\" of the state by elites and private interests In brief our\nmethodology (estimate). Source: Kaufman governance indicators.\n\n  - **Voice and accountability** . Measures the extent to which a country's citizens\n\nare able to participate in selecting their government, as well as freedom of\nexpression, freedom of association, and a free media (estimate). Source:\nKaufman governance indicators.\n\n  - **Corruption perception index** . Corruption perception index (1995-2006).\n\nSource:\n<u>http://www.transparency.org/policy_research/surveys_indices/cpi/2008</u>\n\n<u>Government Investment</u>\n\n  - **General Government final Consumption Expenditure per Capita.** General\n\nGovernment final Consumption Expenditure per Capita (current US$) (average\n2002-2006). Source: World Bank. WDI.\n\n<u>Taxes:</u>\n\n  - **Trade tax** . Import tax, export tax plus other trade duties (as a\n\nMention: \"World Bank WDI\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"World Bank WDI is listed as the source for the secondary-school pupil–teacher ratio.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004478:24:0", "occurrence_id": "476c86cf8b02c860e55f469c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (ISCED76) to ISCED97. Recent data are provisional. Secondary school pupilteacher ratio is the number of pupils enrolled in secondary school divided by\nthe number of secondary school teachers (regardless of their teaching\nassignment). United Nations Educational, Scientific, and Cultural Organization\n(UNESCO) Institute for Statistics. Source: World Bank WDI.\n\n<u>Governance indicators:</u>\n\n  - **Government effectiveness** . Measures the quality of public services, the\n\nquality of the civil service and the degree of its independence from political\npressures, the quality of policy formulation and implementation, and the\ncredibility of the government's commitment to such policies (estimate).\nSource: Kaufman governance indicators.\n\n  - **Control of corruption** . Measures the extent to which public power is\n\nexercised for private gain, including both petty and grand forms of corruption,\nas well as \"capture\" of the state by elites and private interests In brief our\nmethodology (estimate). Source: Kaufman governance indicators.\n\n  - **Voice and accountability** . Measures the extent to which a country's citizens\n\nare able to participate in selecting their government, as well as freedom of\nexpression, freedom of association, and a free media (estimate). Source:\nKaufman governance indicators.\n\n  - **Corruption perception index** . Corruption perception index (1995-2006).\n\nSource:\n<u>http://www.transparency.org/policy_research/surveys_indices/cpi/2008</u>\n\n<u>Government Investment</u>\n\n  - **General Government final Consumption Expenditure per Capita.** General\n\nGovernment final Consumption Expenditure per Capita (current US$) (average\n2002-2006). Source: World Bank. WDI.\n\n<u>Taxes:</u>\n\n  - **Trade tax** . Import tax, export tax plus other trade duties (as a\n\nMention: \"Kaufman governance indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the government-effectiveness estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004478:24:0", "occurrence_id": "0144a8e0ded3702be8e63a31", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (ISCED76) to ISCED97. Recent data are provisional. Secondary school pupilteacher ratio is the number of pupils enrolled in secondary school divided by\nthe number of secondary school teachers (regardless of their teaching\nassignment). United Nations Educational, Scientific, and Cultural Organization\n(UNESCO) Institute for Statistics. Source: World Bank WDI.\n\n<u>Governance indicators:</u>\n\n  - **Government effectiveness** . Measures the quality of public services, the\n\nquality of the civil service and the degree of its independence from political\npressures, the quality of policy formulation and implementation, and the\ncredibility of the government's commitment to such policies (estimate).\nSource: Kaufman governance indicators.\n\n  - **Control of corruption** . Measures the extent to which public power is\n\nexercised for private gain, including both petty and grand forms of corruption,\nas well as \"capture\" of the state by elites and private interests In brief our\nmethodology (estimate). Source: Kaufman governance indicators.\n\n  - **Voice and accountability** . Measures the extent to which a country's citizens\n\nare able to participate in selecting their government, as well as freedom of\nexpression, freedom of association, and a free media (estimate). Source:\nKaufman governance indicators.\n\n  - **Corruption perception index** . Corruption perception index (1995-2006).\n\nSource:\n<u>http://www.transparency.org/policy_research/surveys_indices/cpi/2008</u>\n\n<u>Government Investment</u>\n\n  - **General Government final Consumption Expenditure per Capita.** General\n\nGovernment final Consumption Expenditure per Capita (current US$) (average\n2002-2006). Source: World Bank. WDI.\n\n<u>Taxes:</u>\n\n  - **Trade tax** . Import tax, export tax plus other trade duties (as a\n\nMention: \"Kaufman governance indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the control-of-corruption estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004478:24:0", "occurrence_id": "602d41ba0bcb3873d7c0a48c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (ISCED76) to ISCED97. Recent data are provisional. Secondary school pupilteacher ratio is the number of pupils enrolled in secondary school divided by\nthe number of secondary school teachers (regardless of their teaching\nassignment). United Nations Educational, Scientific, and Cultural Organization\n(UNESCO) Institute for Statistics. Source: World Bank WDI.\n\n<u>Governance indicators:</u>\n\n  - **Government effectiveness** . Measures the quality of public services, the\n\nquality of the civil service and the degree of its independence from political\npressures, the quality of policy formulation and implementation, and the\ncredibility of the government's commitment to such policies (estimate).\nSource: Kaufman governance indicators.\n\n  - **Control of corruption** . Measures the extent to which public power is\n\nexercised for private gain, including both petty and grand forms of corruption,\nas well as \"capture\" of the state by elites and private interests In brief our\nmethodology (estimate). Source: Kaufman governance indicators.\n\n  - **Voice and accountability** . Measures the extent to which a country's citizens\n\nare able to participate in selecting their government, as well as freedom of\nexpression, freedom of association, and a free media (estimate). Source:\nKaufman governance indicators.\n\n  - **Corruption perception index** . Corruption perception index (1995-2006).\n\nSource:\n<u>http://www.transparency.org/policy_research/surveys_indices/cpi/2008</u>\n\n<u>Government Investment</u>\n\n  - **General Government final Consumption Expenditure per Capita.** General\n\nGovernment final Consumption Expenditure per Capita (current US$) (average\n2002-2006). Source: World Bank. WDI.\n\n<u>Taxes:</u>\n\n  - **Trade tax** . Import tax, export tax plus other trade duties (as a\n\nMention: \"Kaufman governance indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the voice-and-accountability estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004478:24:0", "occurrence_id": "2d820edf3ca8deb6863b8351", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (ISCED76) to ISCED97. Recent data are provisional. Secondary school pupilteacher ratio is the number of pupils enrolled in secondary school divided by\nthe number of secondary school teachers (regardless of their teaching\nassignment). United Nations Educational, Scientific, and Cultural Organization\n(UNESCO) Institute for Statistics. Source: World Bank WDI.\n\n<u>Governance indicators:</u>\n\n  - **Government effectiveness** . Measures the quality of public services, the\n\nquality of the civil service and the degree of its independence from political\npressures, the quality of policy formulation and implementation, and the\ncredibility of the government's commitment to such policies (estimate).\nSource: Kaufman governance indicators.\n\n  - **Control of corruption** . Measures the extent to which public power is\n\nexercised for private gain, including both petty and grand forms of corruption,\nas well as \"capture\" of the state by elites and private interests In brief our\nmethodology (estimate). Source: Kaufman governance indicators.\n\n  - **Voice and accountability** . Measures the extent to which a country's citizens\n\nare able to participate in selecting their government, as well as freedom of\nexpression, freedom of association, and a free media (estimate). Source:\nKaufman governance indicators.\n\n  - **Corruption perception index** . Corruption perception index (1995-2006).\n\nSource:\n<u>http://www.transparency.org/policy_research/surveys_indices/cpi/2008</u>\n\n<u>Government Investment</u>\n\n  - **General Government final Consumption Expenditure per Capita.** General\n\nGovernment final Consumption Expenditure per Capita (current US$) (average\n2002-2006). Source: World Bank. WDI.\n\n<u>Taxes:</u>\n\n  - **Trade tax** . Import tax, export tax plus other trade duties (as a\n\nMention: \"World Bank. WDI\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"WDI source for government final consumption expenditure per capita, averaged over 2002–2006.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004478:24:0", "occurrence_id": "071830932643a023e8f58dd9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (ISCED76) to ISCED97. Recent data are provisional. Secondary school pupilteacher ratio is the number of pupils enrolled in secondary school divided by\nthe number of secondary school teachers (regardless of their teaching\nassignment). United Nations Educational, Scientific, and Cultural Organization\n(UNESCO) Institute for Statistics. Source: World Bank WDI.\n\n<u>Governance indicators:</u>\n\n  - **Government effectiveness** . Measures the quality of public services, the\n\nquality of the civil service and the degree of its independence from political\npressures, the quality of policy formulation and implementation, and the\ncredibility of the government's commitment to such policies (estimate).\nSource: Kaufman governance indicators.\n\n  - **Control of corruption** . Measures the extent to which public power is\n\nexercised for private gain, including both petty and grand forms of corruption,\nas well as \"capture\" of the state by elites and private interests In brief our\nmethodology (estimate). Source: Kaufman governance indicators.\n\n  - **Voice and accountability** . Measures the extent to which a country's citizens\n\nare able to participate in selecting their government, as well as freedom of\nexpression, freedom of association, and a free media (estimate). Source:\nKaufman governance indicators.\n\n  - **Corruption perception index** . Corruption perception index (1995-2006).\n\nSource:\n<u>http://www.transparency.org/policy_research/surveys_indices/cpi/2008</u>\n\n<u>Government Investment</u>\n\n  - **General Government final Consumption Expenditure per Capita.** General\n\nGovernment final Consumption Expenditure per Capita (current US$) (average\n2002-2006). Source: World Bank. WDI.\n\n<u>Taxes:</u>\n\n  - **Trade tax** . Import tax, export tax plus other trade duties (as a\n\nMention: \"UNESCO) Institute for Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Institute for Statistics source for secondary-school pupil–teacher ratio.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004497:17:1", "occurrence_id": "4e01719a2fb9a6c196c7e1bd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: wt_ \n\n\n\n_IMP_ 1 _wt_  _IMP_ 2 _wt_  _EXP_ 1 _wt_  _EXP_ 2\n\n\n\n_t_ \n\n\n\n_wt_ 2 _wt_ 1 _wt_ 2 _wt_\n\n\n\n_t_\n\n\n\n1 _wt_ 2 _wt_ 1 _wt_ 2\n1\n\n\n\nwhere, _IMP_ 12 _t_ <sup></sup> _EXP_ 12 _t_ is the total annual volume of trade between every two countries 1 and 2.\n\nBoth _TRD_ 1 and _TRD_ 2 are fractions, with 0  _TRD_,1 _TRD_ 2  1 . We will refer to _TRD_ 1 as _Trade_\n\n\n_importance_ and to _TRD_ 2 as _Trade dependency_ . We found that _TRD_ 1(IMF) and _TRD_ 1(UN) are\n\nhighly correlated (R <sup>2</sup> =1.000) and _TRD_ 2(IMF) and _TRD_ 2(UN) are also highly correlated\n\n(R <sup>2</sup> =0.999). Therefore, we can use one of the datasets only. Since the IMF dataset includes more\n\n\nbasins than the UN dataset, for the purpose of this paper only the IMF dataset is used. Since\n\nTRD1(IMF) and TRD2(IMF) are highly correlated (R <sup>2</sup> =0.599) we selected _TRD_ 1UN) - _Trade_\n\n\n_importance_ to be the variable we use in our regressions.\n\n\nSince our unit of observation is the river, we construct the trade variable for the entire\n\n\ndyad. As was indicated in our analytical framework, one riparian may be more interested\n\nMention: \"IMF dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IMF trade data selected to construct the trade-importance regressor; IMF and UN measures were compared for correlation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004497:17:1", "occurrence_id": "ca9f6a391e7d4bdc18b73a72", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: wt_ \n\n\n\n_IMP_ 1 _wt_  _IMP_ 2 _wt_  _EXP_ 1 _wt_  _EXP_ 2\n\n\n\n_t_ \n\n\n\n_wt_ 2 _wt_ 1 _wt_ 2 _wt_\n\n\n\n_t_\n\n\n\n1 _wt_ 2 _wt_ 1 _wt_ 2\n1\n\n\n\nwhere, _IMP_ 12 _t_ <sup></sup> _EXP_ 12 _t_ is the total annual volume of trade between every two countries 1 and 2.\n\nBoth _TRD_ 1 and _TRD_ 2 are fractions, with 0  _TRD_,1 _TRD_ 2  1 . We will refer to _TRD_ 1 as _Trade_\n\n\n_importance_ and to _TRD_ 2 as _Trade dependency_ . We found that _TRD_ 1(IMF) and _TRD_ 1(UN) are\n\nhighly correlated (R <sup>2</sup> =1.000) and _TRD_ 2(IMF) and _TRD_ 2(UN) are also highly correlated\n\n(R <sup>2</sup> =0.999). Therefore, we can use one of the datasets only. Since the IMF dataset includes more\n\n\nbasins than the UN dataset, for the purpose of this paper only the IMF dataset is used. Since\n\nTRD1(IMF) and TRD2(IMF) are highly correlated (R <sup>2</sup> =0.599) we selected _TRD_ 1UN) - _Trade_\n\n\n_importance_ to be the variable we use in our regressions.\n\n\nSince our unit of observation is the river, we construct the trade variable for the entire\n\n\ndyad. As was indicated in our analytical framework, one riparian may be more interested\n\nMention: \"UN dataset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"UN trade data used as a comparison against IMF measures; IMF dataset was selected for the regressions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004531:10:1", "occurrence_id": "5ce37f6d536f09975b4986a3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  them to be taxed in either the home or host country.\nThis reallocation leads to a distinction between GDP — the income _generated_ in a region\n\n- and GNP — the income _received by residents_ of a region. The latter forms the basis of\n(although is not identical to) the welfare measure in FTAP. The information on profit\nrepatriation comes from the Balance of Payments Statistics of the International Monetary\nFund (IMF).\n\n\nFinally, not all profits of foreign multinationals need be repatriated to the home country.\nSome may be reinvested in the host country. To account for this phenomenon, and to\nallow for the effect that regulatory reform may have on both domestic and foreign direct\ninvestment more generally, the model makes provision for savings and capital\naccumulation. This is particularly important, since some regulatory barriers are aimed\ndirectly at limiting foreign equity participation. It is therefore important to capture how\nregulatory reform will affect not just foreign ownership _shares_, but also the _total amount_\nof productivity capacity available to an economy. National savings rates are derived from\nthe macroeconomic data in the International Financial Statistics and Balance of Payments\nStatistics of the IMF. Government savings rates are derived from the Government\nFinance Statistics of the IMF. Household savings rates are calculated as a residual.\n\n\nThe FTAP model also differs from GTAP in other respects. In particular, it allows for\nfirm-level product differentiation, economies of scale and large-group monopolistic\ncompetition. This is also important, since services tend to be highly specialized, being\n\n\n9\n\nMention: \"Balance of Payments Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for information on profit repatriation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004531:10:1", "occurrence_id": "57dca213f36a0d38926ff4ef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  them to be taxed in either the home or host country.\nThis reallocation leads to a distinction between GDP — the income _generated_ in a region\n\n- and GNP — the income _received by residents_ of a region. The latter forms the basis of\n(although is not identical to) the welfare measure in FTAP. The information on profit\nrepatriation comes from the Balance of Payments Statistics of the International Monetary\nFund (IMF).\n\n\nFinally, not all profits of foreign multinationals need be repatriated to the home country.\nSome may be reinvested in the host country. To account for this phenomenon, and to\nallow for the effect that regulatory reform may have on both domestic and foreign direct\ninvestment more generally, the model makes provision for savings and capital\naccumulation. This is particularly important, since some regulatory barriers are aimed\ndirectly at limiting foreign equity participation. It is therefore important to capture how\nregulatory reform will affect not just foreign ownership _shares_, but also the _total amount_\nof productivity capacity available to an economy. National savings rates are derived from\nthe macroeconomic data in the International Financial Statistics and Balance of Payments\nStatistics of the IMF. Government savings rates are derived from the Government\nFinance Statistics of the IMF. Household savings rates are calculated as a residual.\n\n\nThe FTAP model also differs from GTAP in other respects. In particular, it allows for\nfirm-level product differentiation, economies of scale and large-group monopolistic\ncompetition. This is also important, since services tend to be highly specialized, being\n\n\n9\n\nMention: \"International Financial Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Macroeconomic statistics used to derive national savings rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004531:10:1", "occurrence_id": "fd1c5218add49dc8cc1e5bfe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  them to be taxed in either the home or host country.\nThis reallocation leads to a distinction between GDP — the income _generated_ in a region\n\n- and GNP — the income _received by residents_ of a region. The latter forms the basis of\n(although is not identical to) the welfare measure in FTAP. The information on profit\nrepatriation comes from the Balance of Payments Statistics of the International Monetary\nFund (IMF).\n\n\nFinally, not all profits of foreign multinationals need be repatriated to the home country.\nSome may be reinvested in the host country. To account for this phenomenon, and to\nallow for the effect that regulatory reform may have on both domestic and foreign direct\ninvestment more generally, the model makes provision for savings and capital\naccumulation. This is particularly important, since some regulatory barriers are aimed\ndirectly at limiting foreign equity participation. It is therefore important to capture how\nregulatory reform will affect not just foreign ownership _shares_, but also the _total amount_\nof productivity capacity available to an economy. National savings rates are derived from\nthe macroeconomic data in the International Financial Statistics and Balance of Payments\nStatistics of the IMF. Government savings rates are derived from the Government\nFinance Statistics of the IMF. Household savings rates are calculated as a residual.\n\n\nThe FTAP model also differs from GTAP in other respects. In particular, it allows for\nfirm-level product differentiation, economies of scale and large-group monopolistic\ncompetition. This is also important, since services tend to be highly specialized, being\n\n\n9\n\nMention: \"Government\nFinance Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for government savings rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004531:10:1", "occurrence_id": "7fe22af974fe93e9a1f277bf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  them to be taxed in either the home or host country.\nThis reallocation leads to a distinction between GDP — the income _generated_ in a region\n\n- and GNP — the income _received by residents_ of a region. The latter forms the basis of\n(although is not identical to) the welfare measure in FTAP. The information on profit\nrepatriation comes from the Balance of Payments Statistics of the International Monetary\nFund (IMF).\n\n\nFinally, not all profits of foreign multinationals need be repatriated to the home country.\nSome may be reinvested in the host country. To account for this phenomenon, and to\nallow for the effect that regulatory reform may have on both domestic and foreign direct\ninvestment more generally, the model makes provision for savings and capital\naccumulation. This is particularly important, since some regulatory barriers are aimed\ndirectly at limiting foreign equity participation. It is therefore important to capture how\nregulatory reform will affect not just foreign ownership _shares_, but also the _total amount_\nof productivity capacity available to an economy. National savings rates are derived from\nthe macroeconomic data in the International Financial Statistics and Balance of Payments\nStatistics of the IMF. Government savings rates are derived from the Government\nFinance Statistics of the IMF. Household savings rates are calculated as a residual.\n\n\nThe FTAP model also differs from GTAP in other respects. In particular, it allows for\nfirm-level product differentiation, economies of scale and large-group monopolistic\ncompetition. This is also important, since services tend to be highly specialized, being\n\n\n9\n\nMention: \"Balance of Payments\nStatistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Additional macroeconomic statistics used to derive national savings rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004540:36:1", "occurrence_id": "b83f682ad976547bb26d95e4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|_a. Source: Choudhuri (2006)_<br>_b. Source: World Bank (2008)_<br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|\n\n\n35\n\nMention: \"Central Bank of Nigeria\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of data used in authors’ calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004540:36:1", "occurrence_id": "e51ae736d50c50ea6e7ea4be", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|_a. Source: Choudhuri (2006)_<br>_b. Source: World Bank (2008)_<br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|\n\n\n35\n\nMention: \"World Bank (2003)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank source for the cited municipal measure, excluding Lima’s capital-city area.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004540:36:1", "occurrence_id": "dd822e9eb3854ecf9119aa76", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|_a. Source: Choudhuri (2006)_<br>_b. Source: World Bank (2008)_<br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|\n\n\n35\n\nMention: \"World Bank (2003)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank source for the cited municipal measure, excluding Lima’s capital-city area.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004540:36:1", "occurrence_id": "7a9affa09d32e42e80fe9cc4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|_a. Source: Choudhuri (2006)_<br>_b. Source: World Bank (2008)_<br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|\n\n\n35\n\nMention: \"World Bank (2008)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank 2008 reference for a table variable; specific data use is not described.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004540:36:1", "occurrence_id": "d8f7a15e2da08787504e3bc3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|_a. Source: Choudhuri (2006)_<br>_b. Source: World Bank (2008)_<br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|\n\n\n35\n\nMention: \"Bureau of Local\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Local-government finance data used in authors’ municipal calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004540:36:1", "occurrence_id": "b83ae62b9a6b909490caa5dc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|_a. Source: Choudhuri (2006)_<br>_b. Source: World Bank (2008)_<br>_c. _<br>_Source: Author’s own calculations from data provided by Central Bank of Nigeria, 1999_<br>_d. Source: World Bank (2003), excluding the municipal area of the capital city Lima_<br>_e. _<br>_Source: Author’s own calculations for municipalities from data provided by the Bureau of Local_<br>_Government Finances, 2001-2005_|\n\n\n35\n\nMention: \"Bureau of Local\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Repeated citation of local-government finance data used in municipal calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004544:33:0", "occurrence_id": "a305bcba11aa9d33aa43b94d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 9: U.S. Current Account Balance**\n\n**(% of GDP)**\n\n\nSource: International Financial Statistics\n\n\n32\n\nMention: \"International Financial Statistics\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source for the figure showing the U.S. current-account balance as a percentage of GDP.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004563:18:1", "occurrence_id": "ba4b0559a4c824e000a6b72c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  is _Latin America and Caribbean Studies_ . Books in this series\n\n\naveraged 112 citations per book, with 24 produced to date. Three of these— _Beyond the_\n\n\n_Washington Consensus: Institutions Matter_ (1998), _Beyond the Center: Decentralizing the State_\n\n\n(1999), and _Determinants of Crime Rates in Latin America and the World: An Empirical_\n\n\n_Assessment_ (1998)—have been cited more than the most-cited WDR. The third most-cited Bank\n\n\nbook series is _Regional and Sectoral Studies_ . The _World Bank Institute Development Studies_\n\n\nseries also outranks the WDR in terms of average citations per volume.\n\n\nSeveral Bank series have been cited very little, including the _World Development_\n\n\n_Indicators_, _Global Development Finance_ (discontinued in 2010) _, Global Economic Prospects,_\n\n\nand the _Global Monitoring Report_ . These reports have broad audiences although it could not be\n\n\nargued that they are not intended to reach, at least in part, the scholarly literature. The _World_\n\n\n_Development Indicators_ is a compilation of country-level economic and social data, and from\n\n\npurchase and download records it is clear that the volume is widely used. Possibly the citations\n\n\nare there but in a less specific form such as “World Bank data.” The rest of the Bank’s poorly\n\ncited publications contain essays on important topics which are clearly intended to inform and\n\n\ninfluence thinking on these issues. The low citation counts for _Global Economic Prospects_ series\n\n\n17\n\nMention: \"World Bank data\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Mentioned as a vague form in which citations to World Bank material may appear; no specific data use is described.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004563:18:1", "occurrence_id": "9f1dfbd7333f99070a98a62e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  is _Latin America and Caribbean Studies_ . Books in this series\n\n\naveraged 112 citations per book, with 24 produced to date. Three of these— _Beyond the_\n\n\n_Washington Consensus: Institutions Matter_ (1998), _Beyond the Center: Decentralizing the State_\n\n\n(1999), and _Determinants of Crime Rates in Latin America and the World: An Empirical_\n\n\n_Assessment_ (1998)—have been cited more than the most-cited WDR. The third most-cited Bank\n\n\nbook series is _Regional and Sectoral Studies_ . The _World Bank Institute Development Studies_\n\n\nseries also outranks the WDR in terms of average citations per volume.\n\n\nSeveral Bank series have been cited very little, including the _World Development_\n\n\n_Indicators_, _Global Development Finance_ (discontinued in 2010) _, Global Economic Prospects,_\n\n\nand the _Global Monitoring Report_ . These reports have broad audiences although it could not be\n\n\nargued that they are not intended to reach, at least in part, the scholarly literature. The _World_\n\n\n_Development Indicators_ is a compilation of country-level economic and social data, and from\n\n\npurchase and download records it is clear that the volume is widely used. Possibly the citations\n\n\nare there but in a less specific form such as “World Bank data.” The rest of the Bank’s poorly\n\ncited publications contain essays on important topics which are clearly intended to inform and\n\n\ninfluence thinking on these issues. The low citation counts for _Global Economic Prospects_ series\n\n\n17\n\nMention: \"Indicators_ is a compilation of country-level economic and social data\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Country-level economic and social data compilation; the passage notes broad use based on purchase and download records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004639:8:1", "occurrence_id": "ec7937632f25dce58106daee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: SR_ is the adult survival rate.\n\nShastry and Weil (2003) argue that differences in health status proxied by adult mortality rates\nmap into substantial differences in energy and capacity for effort. Caselli (2005) finds that\ncorrecting the standard human capital measures to account for health, proxied, as in our case, by\nadult survival rates ( _ASR_ ), increases the percentage of cross-country income variance attributed\nto physical and human capital by almost one third. In Weil (2007) accounting for health\ndifferences reduces the variance of log GDP per worker by 9.9 percent.\n\n\n9 Hanushek and Kimko (2000) combine the results of cognitive achievement tests in mathematics and science into\ntwo educational quality indexes. We take an average of the two indexes and, as Woessman (2003), normalize the\neducational quality index for each country relative to the US. Woessman argues that the US is a good reference\ncountry as the returns to schooling should be relatively undistorted in the competitive US labor market. Data are\navailable for 80 countries in our sample.\n10 From both data sets we take the years of schooling in the population aged 15 and over because this age group\ncorresponds better to the labor force for most developing countries (the majority in our sample) than the population\naged 25 and over (Woessman 2003, p.256). The Barro and Lee dataset contains the average years of schooling in 5year intervals from 1960 to 1995 and projections for 2000. Values for 2005 were predicted by using a linear trend\nfitted from the observations between 1960 and 2000. When a country-specific growth rate in the years of schooling\ncould not be calculated, the regional average growth rate was used. A visual inspection of the data suggests that a\nlinear trend is a good approximation. A caveat, however, is that educational attainment is asymptotically a constant,\nand by fitting a linear trend\n\nMention: \"Barro and Lee dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Country-level schooling data used to estimate human-capital measures, with 2000 projections and 2005 values extrapolated from trends.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004639:8:1", "occurrence_id": "08c1d7fb7aac680292a8296b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: SR_ is the adult survival rate.\n\nShastry and Weil (2003) argue that differences in health status proxied by adult mortality rates\nmap into substantial differences in energy and capacity for effort. Caselli (2005) finds that\ncorrecting the standard human capital measures to account for health, proxied, as in our case, by\nadult survival rates ( _ASR_ ), increases the percentage of cross-country income variance attributed\nto physical and human capital by almost one third. In Weil (2007) accounting for health\ndifferences reduces the variance of log GDP per worker by 9.9 percent.\n\n\n9 Hanushek and Kimko (2000) combine the results of cognitive achievement tests in mathematics and science into\ntwo educational quality indexes. We take an average of the two indexes and, as Woessman (2003), normalize the\neducational quality index for each country relative to the US. Woessman argues that the US is a good reference\ncountry as the returns to schooling should be relatively undistorted in the competitive US labor market. Data are\navailable for 80 countries in our sample.\n10 From both data sets we take the years of schooling in the population aged 15 and over because this age group\ncorresponds better to the labor force for most developing countries (the majority in our sample) than the population\naged 25 and over (Woessman 2003, p.256). The Barro and Lee dataset contains the average years of schooling in 5year intervals from 1960 to 1995 and projections for 2000. Values for 2005 were predicted by using a linear trend\nfitted from the observations between 1960 and 2000. When a country-specific growth rate in the years of schooling\ncould not be calculated, the regional average growth rate was used. A visual inspection of the data suggests that a\nlinear trend is a good approximation. A caveat, however, is that educational attainment is asymptotically a constant,\nand by fitting a linear trend\n\nMention: \"cognitive achievement tests\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Mathematics and science achievement-test results combined into educational-quality indexes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004658:11:0", "occurrence_id": "ff637e0652c2eebc99c486f6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: capital were similar across income groups in 1970. Nearly half of total agricultural capital was\n\n\ncomposed of fixed capital. Treestock accounted for one-third, and the livestock share was around\n\n20%. By 2000, the differences in the composition of capital were pronounced. In high-income\n\n\ncountries, the share of fixed capital did not change, but livestock only accounted for 9% of total\n\nagricultural capital and treestock increased to 45%. In middle- and low-income countries, the share\n\n\nof treestock increased to 47% as well. Livestock still accounted for 17% of total agricultural capital,\n\nwhile the share of fixed capital fell to 37%.\n\n\n**Comparison of data on agricultural fixed capital with FAO data on tractors**\n\n\nThe new database on agricultural fixed capital has several advantages, in particular the sound\n\n\ntheoretical basis for the construction of the series, as well as the broad coverage of fixed capital to\n\ninclude structures and all types of equipment and machinery. From the United Nations’ System of\n\n\nNational Accounts (2008), fixed assets are defined as “produced assets that are used repeatedly or\n\ncontinuously in production processes for more than one year.” Tractors represent one component\n\n\nof fixed capital.\n\n\nThe obvious drawback to the new database is the limited availability of national accounts\n\n\ndata on gross fixed capital formation needed to construct the stock of fixed capital. <sup>19</sup> [^19: As discussed, raw data needed to construct the livestock and treestock measures are available from the FAO for a\nlarger number of countries.] In the absence\n\nof cross-country data sets on agricultural fixed capital, the most commonly used proxy is FAO data\n\n\non the numbers of tractors in use. This is a partial measure, in that it does not include buildings,\n\nirrigation systems, local infrastructure, as well as other types of machinery, nor does it take account\n\n\nof the varying quality and horsepower of tractors. <sup>20</sup> We compute the correlation between the FAO\n\ndata series on the numbers of tractors in\n\nMention: \"FAO data on tractors\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"FAO tractor counts used as a proxy for comparing agricultural fixed-capital measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004658:11:0", "occurrence_id": "a66a18c1c185b71bfc5a8ee4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: capital were similar across income groups in 1970. Nearly half of total agricultural capital was\n\n\ncomposed of fixed capital. Treestock accounted for one-third, and the livestock share was around\n\n20%. By 2000, the differences in the composition of capital were pronounced. In high-income\n\n\ncountries, the share of fixed capital did not change, but livestock only accounted for 9% of total\n\nagricultural capital and treestock increased to 45%. In middle- and low-income countries, the share\n\n\nof treestock increased to 47% as well. Livestock still accounted for 17% of total agricultural capital,\n\nwhile the share of fixed capital fell to 37%.\n\n\n**Comparison of data on agricultural fixed capital with FAO data on tractors**\n\n\nThe new database on agricultural fixed capital has several advantages, in particular the sound\n\n\ntheoretical basis for the construction of the series, as well as the broad coverage of fixed capital to\n\ninclude structures and all types of equipment and machinery. From the United Nations’ System of\n\n\nNational Accounts (2008), fixed assets are defined as “produced assets that are used repeatedly or\n\ncontinuously in production processes for more than one year.” Tractors represent one component\n\n\nof fixed capital.\n\n\nThe obvious drawback to the new database is the limited availability of national accounts\n\n\ndata on gross fixed capital formation needed to construct the stock of fixed capital. <sup>19</sup> [^19: As discussed, raw data needed to construct the livestock and treestock measures are available from the FAO for a\nlarger number of countries.] In the absence\n\nof cross-country data sets on agricultural fixed capital, the most commonly used proxy is FAO data\n\n\non the numbers of tractors in use. This is a partial measure, in that it does not include buildings,\n\nirrigation systems, local infrastructure, as well as other types of machinery, nor does it take account\n\n\nof the varying quality and horsepower of tractors. <sup>20</sup> We compute the correlation between the FAO\n\ndata series on the numbers of tractors in\n\nMention: \"database on agricultural fixed capital\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Agricultural fixed-capital database constructed from national accounts and used to measure capital composition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004658:11:0", "occurrence_id": "d326c8b53d9ea4b7a94f8cdf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: capital were similar across income groups in 1970. Nearly half of total agricultural capital was\n\n\ncomposed of fixed capital. Treestock accounted for one-third, and the livestock share was around\n\n20%. By 2000, the differences in the composition of capital were pronounced. In high-income\n\n\ncountries, the share of fixed capital did not change, but livestock only accounted for 9% of total\n\nagricultural capital and treestock increased to 45%. In middle- and low-income countries, the share\n\n\nof treestock increased to 47% as well. Livestock still accounted for 17% of total agricultural capital,\n\nwhile the share of fixed capital fell to 37%.\n\n\n**Comparison of data on agricultural fixed capital with FAO data on tractors**\n\n\nThe new database on agricultural fixed capital has several advantages, in particular the sound\n\n\ntheoretical basis for the construction of the series, as well as the broad coverage of fixed capital to\n\ninclude structures and all types of equipment and machinery. From the United Nations’ System of\n\n\nNational Accounts (2008), fixed assets are defined as “produced assets that are used repeatedly or\n\ncontinuously in production processes for more than one year.” Tractors represent one component\n\n\nof fixed capital.\n\n\nThe obvious drawback to the new database is the limited availability of national accounts\n\n\ndata on gross fixed capital formation needed to construct the stock of fixed capital. <sup>19</sup> [^19: As discussed, raw data needed to construct the livestock and treestock measures are available from the FAO for a\nlarger number of countries.] In the absence\n\nof cross-country data sets on agricultural fixed capital, the most commonly used proxy is FAO data\n\n\non the numbers of tractors in use. This is a partial measure, in that it does not include buildings,\n\nirrigation systems, local infrastructure, as well as other types of machinery, nor does it take account\n\n\nof the varying quality and horsepower of tractors. <sup>20</sup> We compute the correlation between the FAO\n\ndata series on the numbers of tractors in\n\nMention: \"FAO data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Tractor-count series used to calculate correlation with the agricultural fixed-capital series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004658:11:0", "occurrence_id": "1d93eced676a31fb76b711f8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: capital were similar across income groups in 1970. Nearly half of total agricultural capital was\n\n\ncomposed of fixed capital. Treestock accounted for one-third, and the livestock share was around\n\n20%. By 2000, the differences in the composition of capital were pronounced. In high-income\n\n\ncountries, the share of fixed capital did not change, but livestock only accounted for 9% of total\n\nagricultural capital and treestock increased to 45%. In middle- and low-income countries, the share\n\n\nof treestock increased to 47% as well. Livestock still accounted for 17% of total agricultural capital,\n\nwhile the share of fixed capital fell to 37%.\n\n\n**Comparison of data on agricultural fixed capital with FAO data on tractors**\n\n\nThe new database on agricultural fixed capital has several advantages, in particular the sound\n\n\ntheoretical basis for the construction of the series, as well as the broad coverage of fixed capital to\n\ninclude structures and all types of equipment and machinery. From the United Nations’ System of\n\n\nNational Accounts (2008), fixed assets are defined as “produced assets that are used repeatedly or\n\ncontinuously in production processes for more than one year.” Tractors represent one component\n\n\nof fixed capital.\n\n\nThe obvious drawback to the new database is the limited availability of national accounts\n\n\ndata on gross fixed capital formation needed to construct the stock of fixed capital. <sup>19</sup> [^19: As discussed, raw data needed to construct the livestock and treestock measures are available from the FAO for a\nlarger number of countries.] In the absence\n\nof cross-country data sets on agricultural fixed capital, the most commonly used proxy is FAO data\n\n\non the numbers of tractors in use. This is a partial measure, in that it does not include buildings,\n\nirrigation systems, local infrastructure, as well as other types of machinery, nor does it take account\n\n\nof the varying quality and horsepower of tractors. <sup>20</sup> We compute the correlation between the FAO\n\ndata series on the numbers of tractors in\n\nMention: \"available from the FAO\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"FAO livestock and treestock raw data used in constructing measures for additional countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004688:9:0", "occurrence_id": "0d150c08c499792c7cb3940f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: assets. <sup>5</sup> The average levels of total liabilities and total debt to assets are comparable to those\n\n\nreported above for a smaller subsample of firms available in Worldscope.\n\n\nIn 2006, utilities and energy report the highest total debt and total liabilities levels\n\n\nfollowed by construction and transportation. The lowest levels of debt are observed in mining,\n\n\nindustry, and trade, and the lowest in tourism and hotels.\n\n\nAs discussed above, while the total levels of debt are fairly low in Jordan, relative to\n\n\nseveral comparable countries, the levels of short-term debt are relatively higher. The ratio of\n\n\ncurrent liabilities to total liabilities is above 80% on average for the whole sample, and it is\n\n\nhighest in industry (almost 90% of total liabilities are current), followed by mining and trade. It\n\n\nis lowest in tourism and hotels and utilities and energy.\n\n\n**Table 3. Industry Breakdown of Corporate Vulnerability Ratios, 2006**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nInterest coverage shows the ability to cover interest expenses using the current period\n\n\nearnings. Interest coverage is the highest in financial firms, followed by trade and construction. It\n\n\nis lowest in industry- only 2.8 on average, followed by transportation and tourism and hotels.\n\n\n5 In ASE data there is no line item such as total debt. We have calculated total debt as total liabilities minus accounts\npayables, which represent trade credit.\n\n\n8\n\nMention: \"ASE data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ASE firm financial data used to calculate corporate debt and vulnerability ratios.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004688:9:0", "occurrence_id": "1dc1678386bd1f3939b3bc1a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: assets. <sup>5</sup> The average levels of total liabilities and total debt to assets are comparable to those\n\n\nreported above for a smaller subsample of firms available in Worldscope.\n\n\nIn 2006, utilities and energy report the highest total debt and total liabilities levels\n\n\nfollowed by construction and transportation. The lowest levels of debt are observed in mining,\n\n\nindustry, and trade, and the lowest in tourism and hotels.\n\n\nAs discussed above, while the total levels of debt are fairly low in Jordan, relative to\n\n\nseveral comparable countries, the levels of short-term debt are relatively higher. The ratio of\n\n\ncurrent liabilities to total liabilities is above 80% on average for the whole sample, and it is\n\n\nhighest in industry (almost 90% of total liabilities are current), followed by mining and trade. It\n\n\nis lowest in tourism and hotels and utilities and energy.\n\n\n**Table 3. Industry Breakdown of Corporate Vulnerability Ratios, 2006**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nInterest coverage shows the ability to cover interest expenses using the current period\n\n\nearnings. Interest coverage is the highest in financial firms, followed by trade and construction. It\n\n\nis lowest in industry- only 2.8 on average, followed by transportation and tourism and hotels.\n\n\n5 In ASE data there is no line item such as total debt. We have calculated total debt as total liabilities minus accounts\npayables, which represent trade credit.\n\n\n8\n\nMention: \"Worldscope\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Worldscope firm data provide a comparison for liability and debt-to-asset levels.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004733:8:0", "occurrence_id": "8104db0a602588ebc35573ff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the Internet on trade either take a macro or a marketing-business approach which are\n\n\nusually based on small and localized business surveys.\n\n\nAmong the macro studies of the impact of the Internet on international trade,\n\n\nFreund and Weinhold (2004), for example, find that the use of the Internet stimulates\n\n\ntrade. Evidence from time-series and cross-section regressions shows a significant effect\n\n\nof the Internet on trade in recent years. The results suggest that a 10 % increase in the\n\n\ngrowth of web hosts in a country leads to about a 0.2 % increase in export growth. For\n\n\nthe average country in their sample, the Internet contributed to about a 1% increase in\n\n\nannual export growth from 1997 to 1999. Mann et al. (2004) quantify the effects of trade\n\n\nfacilitation by considering four aspects of trade facilitation effort: ports, customs,\n\n\nregulations, and e-business. Based on a specific simulation design, the authors find that\n\n\nan improvement in their measure of e-business of the “below-average” countries\n\n\n“halfway” to the global average yields an increase in global trade of $154 billion. Ferro\n\n\n(2008) finds that a reduction in costs related to creating a website results in an increase in\n\n\nthe proportion of firms that are able to export which in turn results in greater trade flows.\n\n\nMarketing studies have also found positive effects of the Internet on trade. For\n\n\nexample, Prasad et al. (2001) using survey data from a midwestern state in the U.S. find\n\n\nthat firms' integration of Internet technology into marketing activities generally leverages\n\n\nthe influence of market orientation on the firms' marketing competencies (compared with\n\n\ncompetitors), which in turn have a positive impact on their export performance. Daly and\n\n\nMiller (1998) present evidence from a 1998 survey of enterprises in 15 low and middle\n\nincome countries that suggests that firms in these countries use search engines to research\n\n\n7\n\nMention: \"1998 survey of enterprises\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Survey evidence from enterprises in 15 low- and middle-income countries on firms’ Internet use and trade-related activities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004733:8:0", "occurrence_id": "3d5cc9f37f31b2da5cad6d05", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the Internet on trade either take a macro or a marketing-business approach which are\n\n\nusually based on small and localized business surveys.\n\n\nAmong the macro studies of the impact of the Internet on international trade,\n\n\nFreund and Weinhold (2004), for example, find that the use of the Internet stimulates\n\n\ntrade. Evidence from time-series and cross-section regressions shows a significant effect\n\n\nof the Internet on trade in recent years. The results suggest that a 10 % increase in the\n\n\ngrowth of web hosts in a country leads to about a 0.2 % increase in export growth. For\n\n\nthe average country in their sample, the Internet contributed to about a 1% increase in\n\n\nannual export growth from 1997 to 1999. Mann et al. (2004) quantify the effects of trade\n\n\nfacilitation by considering four aspects of trade facilitation effort: ports, customs,\n\n\nregulations, and e-business. Based on a specific simulation design, the authors find that\n\n\nan improvement in their measure of e-business of the “below-average” countries\n\n\n“halfway” to the global average yields an increase in global trade of $154 billion. Ferro\n\n\n(2008) finds that a reduction in costs related to creating a website results in an increase in\n\n\nthe proportion of firms that are able to export which in turn results in greater trade flows.\n\n\nMarketing studies have also found positive effects of the Internet on trade. For\n\n\nexample, Prasad et al. (2001) using survey data from a midwestern state in the U.S. find\n\n\nthat firms' integration of Internet technology into marketing activities generally leverages\n\n\nthe influence of market orientation on the firms' marketing competencies (compared with\n\n\ncompetitors), which in turn have a positive impact on their export performance. Daly and\n\n\nMiller (1998) present evidence from a 1998 survey of enterprises in 15 low and middle\n\nincome countries that suggests that firms in these countries use search engines to research\n\n\n7\n\nMention: \"survey data from a midwestern state\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Marketing study uses survey data to relate firms’ Internet integration to marketing and export performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004792:23:1", "occurrence_id": "17997c3ef515ee38d96b16b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  that market.\n\n\n**<u>Table 10: Significant Premium Taxes in MENA (Selected Cases)</u>**\n\n\n\n\n\n\n\n\n|Country|VAT/ GST|Stamp Duty|Premium Tax|Other|\n|---|---|---|---|---|\n|Algeria|17% on all classes-<br>including life|5% prem.  MTPL|2% on all classes – including life||\n|Egypt|||1% life, 5% non life except mandatory<br>insurance||\n|Jordan|16% of all non life<br>except PA/ med|1% prem.  all<br>classes|||\n|Lebanon|||5% non marine, 3% marine|6% municipal<br>tax -  non life|\n|Syria||3% prem.  all<br>classes||5%  prem. all<br>classes|\n|Tunisia|||10% prem.  all non life except export<br>focused, agriculture and decennial<br>5% on marine and aviation||\n\n\n\nSource: AXCO and country visits\n\n\n_5.2. The Supervisory Framework_\n\n**Many insurance supervisors in MENA do not enjoy adequate levels of legal, administrative**\n**and budgetary independence** . As shown in Table 11, insurance supervision is still conducted\nby units inside government ministries in eight MENA countries. Very rarely, these units or\ndepartments operate with sufficient administrative autonomy and have the conditions to attract\nand retain qualified personnel. Morocco is probably one of the few exceptions in this regard, but\nMorocco is also passing a new law introducing a new and independent insurance supervisor\n\n\n22\n\nMention: \"AXCO and country visits\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source material and country visits used to compile a table of premium taxes across selected MENA countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004793:15:2", "occurrence_id": "1538850672c82f8ab143a182", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |17|\n\n\n**The DoingBusiness results show some anomalies, which bear further analysis** _._ The DoingBusiness\nresults suggest that some countries, such as Bahrain with a 2.5 year timeframe for closing a business,\nwhich compares favorably to the OECD average of 1.7 years, may be more advanced than other sources\non MENA countries would suggest. It is important to remember, however, that this metric tracks secured\ncreditor recoveries and that even the seemingly positive results may mask a bankruptcy system that\nreturns little or nothing to unsecured creditors.\n\n**There are several countries that fare particularly poorly compared to the averages of other regions,**\n**and even in comparison to fellow MENA countries** _._ One of the main reasons for the lag in ratings for\nMENA countries, both individually and generally, seems to be, simply, that there has been less reform in\nthe insolvency area in these MENA countries than in many others. Especially in OECD countries laws are\ncontinually revised in response to their performance in the market. In many ECA countries, as well, there\nhave been extensive attempts at reform over the last two decades that helped to modernize their laws and\nimprove recovery rates and shorten the time involved in proceedings. Many of the MENA country\ninsolvency laws date back a decade, or even several decades. As noted, some, such as Jordan, Yemen,\nIran, do not have comprehensive bankruptcy laws. As previously discussed, they do not meet\ninternational standards for best practices. Those that have undertaken significant reform, such as Morocco\nand Tunisia, fare better in the rankings in the Doing Business report.\n\n\n12\n\nMention: \"the Doing Business report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Doing Business insolvency and recovery rankings used to compare regulatory reform outcomes across MENA and other regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004824:9:0", "occurrence_id": "2dcf02575493940da560f726", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: chose loan clients in this age bracket because Partner felt that business and financial education\n\n\ncould have a particularly large impact on this group. Youth unemployment is high in Bosnia,\n\n\nabout 58 percent according to the 2007 Labor Force Survey, and self‐employment provides a\n\n\nviable solution to this problem. In this type of environment, it is particularly important to\n\n\nexplore strategies to promote the entry, survival, and growth of youth‐led businesses.\n\n\nWe limited our study sample geographically to areas around Tuzla, <sup>5</sup> where Partner is\n\n\nheadquartered, to facilitate the logistics of the business training. Moreover, we dropped clients\n\n\nwho had not taken out a loan for business purposes from our sample in order to target clients\n\n\nwho were either running a business or planning to start a business. We also did not include\n\n\nclients who were delinquent on their loan payments according to Partner’s definition. <sup>6</sup>\n\n\nAll 2,274 Partner clients meeting these criteria received an initial screening phone call, asking\n\n\nthem whether they would be interested in participating in a business and financial education\n\n\ntraining course. About 500 clients could not be reached over the phone. Among the 1,783\n\n\nclients who were reached, half reported being interested in participating in the course. Table 1\n\n\n5We limited the sample to clients living in the municipalities of Banovici, Gracanica, Gradacac, Kalesija, Lukavac,\nSebrenik, Tuzla, and Živinice.\n6 Partner’s definition of delinquent loans is either being more than 15 days late on the current payment or having a\ncumulative number of late payment days over 15. The reason for not including these clients in the sample is that it\nis Partner’s policy not to offer any programs or new loans to delinquent clients.\n\n\n8\n\nMention: \"the 2007 Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Labor Force Survey provides context for the high youth-unemployment rate motivating the business-training study.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004846:3:0", "occurrence_id": "ed0f934bf679aa47852ca239", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **1.** **Introduction**\n\n\nA financial revolution is in progress. It is not happening under the skyscrapers of New York or\non the streets of London. It is not taking place in Beijing or Mumbai but in the slums of Nairobi\nand in the markets of Kisumu (Mas, 2010). It is not the micro-lending with which developing\nand emerging markets are associated but something at the other end of the financial spectrum in\nthe traditionally least exciting part of the financial system - payments. Notwithstanding this, it\nhas fundamental implications for financial development and financial inclusion, for our\nunderstanding of financial systems, and for their regulation and supervision.\n\n\nThe revolution is mobile banking – the use of mobile phones to make financial transactions.\nMobile money or branchless banking schemes are sprouting across the world. According to the\ndeployment tracker of the GSM Association, one scheme was launched in 2001.  By 2006, there\nwere just 10 globally but the success of M-PESA in Kenya, which was launched in 2007, appears\nto have provided added impetus. 25 schemes started in 2009 and 38 in 2010. 2011 is on course\nfor over 50 deployments.  By the end of 2011 over 140 mobile money ventures will be operating\nglobally, up from 95 currently. The current boom is focused on Africa with 45 schemes so far,\nfollowed by Asia and the Pacific with 25 in operation and Latin America with 12.\n\n\nThe verdict on the viability of the schemes is still out. One success currently stands out: MPESA in Kenya signed up over 50 percent of all adults in the nation in less than 4 years to a\nmobile phone-based retail payment system. Brazil established “correspondent banking” around\n2000. Over 95,000 shops across the country provided basic facilities for customers to make\npayments using a Point-of-Sale (POS) device, not a mobile phone. While Brazil is, next to\n\nKenya, the country with the most far-reaching retail payment scheme\n\nMention: \"the GSM Association\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Deployment tracker counts mobile-money schemes over time to document rapid global and regional growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004863:39:0", "occurrence_id": "9211cac403c806a70d9d94ed", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 4. Incidence of Violent Shocks**\n\n**Percentage**\n\n\n\n**Percentage of**\n\n**Communities**\n\n**Affected**\n\n\n\n**Type of shocks**\n\n\n\n**of**\n**households**\n\n**<u>affected</u>**\n\n\n\nMurder 11.22% 13.19%\nCattle Theft 24.88% 31.09%\nLand Expropriations 0.98% 1.04%\nThreats by armed groups 4.39% 4.45%\nKidnappings 1.46% 1.31%\n\n\nAt least one violent shock 36.10% 43.55%\n\n\nN 205 3,754\n<u>Total number of shocks</u> <u>74</u> <u>1,635</u>\n\nSource: CLS-WILL: first wave – community questionnaire.\n\n\n**<u>Table 5. Household Income: Descriptive Statistics</u>**\n\n\n\n**Difference**\n\n**between**\n**<u>means (t-test)</u>**\n\n\n\n**Violent**\n\n**shock**\n\n\n\n**No**\n**Violent**\n\n**<u>Shock</u>**\n\n\n\n**All**\n\n\n\nTotal Income 2,637,983 1,869,390 *** 2,200,207\n(9,286,131) (6,843,082) (7,994,481)\nAgricultural production\nincome 982,511 1,033,592 1,011,606\n(3,493,644) (4,979,059) (4,401,047)\n\n\nLivestock production income 1,223,497 582,002 *** 858,114\n(8,077,275) (4,052,256) (6\n\nMention: \"CLS-WILL\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"First-wave community questionnaire data used to report incidence of violent shocks; following tables compare household income by shock exposure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004879:7:0", "occurrence_id": "7c05e4f201bd63c8f2e82138", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: observations with zero quantities. Furthermore, we exclude products with detailed product\n\n\ndescriptions corresponding to more than one HS10 code (i.e., which appear to have changed\n\n\ntheir HS10 code over time or are entered as different HS10 codes when coming from different\n\n\nsource countries). We also exclude HS10 codes with more than one product description.\n\n\nAdditionally, we eliminate all goods belonging to the “Not Elsewhere Specified or Indicated”\n\n\n(NESOI) categories as they may possibly contain non-homogeneous goods across time. With\n\n\nthese filters in place, we retain over 95 percent of the observations in the full sample. Data\n\n\non GDP per capita were obtained from the World Development Indicators (WDI) and the\n\n\nGlobal Development Finance (GDF) databases of the World Bank. They are adjusted for\n\n\nPurchasing Power Parity (PPP) and are recorded in constant 2005 U.S. dollars.\n\n##### III. Results\n\n\nWe begin by characterizing the relative unit values of imports. As in Schott (2004), unit val\n\nues were calculated simply as the quotient of general imports values and quantities. Within\n\n\nany 10-digit good for any given year, we then have a distribution of unit values of imports\n\n\nfrom the different source countries. For each good i and exporting country c, in time period\n\n\nt, we generate a measure of relative quality R as:\n\n\n\nRitc = <sup><u>uitc</u></sup>\n\n\n\nu <sup>90</sup> it\n\n\n\n(1)\n\n\n\nit\n\n\n\nwhere uitc denotes the unit value of the good and u <sup>90</sup> it <sup>denotes the value at the 90th percentile</sup>\n\n\nof the unit value distribution across countries for that HS 10 good. Ritc denotes the relative\n\n\nquality of the country’s export of that good, i.e., quality relative to\n\nMention: \"Data\n\n\non GDP per capita\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GDP-per-capita data adjusted for PPP and expressed in constant 2005 U.S. dollars for analysis of import quality.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004879:7:0", "occurrence_id": "bcd1d91f213219d21d80667a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: observations with zero quantities. Furthermore, we exclude products with detailed product\n\n\ndescriptions corresponding to more than one HS10 code (i.e., which appear to have changed\n\n\ntheir HS10 code over time or are entered as different HS10 codes when coming from different\n\n\nsource countries). We also exclude HS10 codes with more than one product description.\n\n\nAdditionally, we eliminate all goods belonging to the “Not Elsewhere Specified or Indicated”\n\n\n(NESOI) categories as they may possibly contain non-homogeneous goods across time. With\n\n\nthese filters in place, we retain over 95 percent of the observations in the full sample. Data\n\n\non GDP per capita were obtained from the World Development Indicators (WDI) and the\n\n\nGlobal Development Finance (GDF) databases of the World Bank. They are adjusted for\n\n\nPurchasing Power Parity (PPP) and are recorded in constant 2005 U.S. dollars.\n\n##### III. Results\n\n\nWe begin by characterizing the relative unit values of imports. As in Schott (2004), unit val\n\nues were calculated simply as the quotient of general imports values and quantities. Within\n\n\nany 10-digit good for any given year, we then have a distribution of unit values of imports\n\n\nfrom the different source countries. For each good i and exporting country c, in time period\n\n\nt, we generate a measure of relative quality R as:\n\n\n\nRitc = <sup><u>uitc</u></sup>\n\n\n\nu <sup>90</sup> it\n\n\n\n(1)\n\n\n\nit\n\n\n\nwhere uitc denotes the unit value of the good and u <sup>90</sup> it <sup>denotes the value at the 90th percentile</sup>\n\n\nof the unit value distribution across countries for that HS 10 good. Ritc denotes the relative\n\n\nquality of the country’s export of that good, i.e., quality relative to\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank database source for GDP-per-capita values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004879:7:0", "occurrence_id": "a980995acdfab9797fb31ebe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: observations with zero quantities. Furthermore, we exclude products with detailed product\n\n\ndescriptions corresponding to more than one HS10 code (i.e., which appear to have changed\n\n\ntheir HS10 code over time or are entered as different HS10 codes when coming from different\n\n\nsource countries). We also exclude HS10 codes with more than one product description.\n\n\nAdditionally, we eliminate all goods belonging to the “Not Elsewhere Specified or Indicated”\n\n\n(NESOI) categories as they may possibly contain non-homogeneous goods across time. With\n\n\nthese filters in place, we retain over 95 percent of the observations in the full sample. Data\n\n\non GDP per capita were obtained from the World Development Indicators (WDI) and the\n\n\nGlobal Development Finance (GDF) databases of the World Bank. They are adjusted for\n\n\nPurchasing Power Parity (PPP) and are recorded in constant 2005 U.S. dollars.\n\n##### III. Results\n\n\nWe begin by characterizing the relative unit values of imports. As in Schott (2004), unit val\n\nues were calculated simply as the quotient of general imports values and quantities. Within\n\n\nany 10-digit good for any given year, we then have a distribution of unit values of imports\n\n\nfrom the different source countries. For each good i and exporting country c, in time period\n\n\nt, we generate a measure of relative quality R as:\n\n\n\nRitc = <sup><u>uitc</u></sup>\n\n\n\nu <sup>90</sup> it\n\n\n\n(1)\n\n\n\nit\n\n\n\nwhere uitc denotes the unit value of the good and u <sup>90</sup> it <sup>denotes the value at the 90th percentile</sup>\n\n\nof the unit value distribution across countries for that HS 10 good. Ritc denotes the relative\n\n\nquality of the country’s export of that good, i.e., quality relative to\n\nMention: \"Global Development Finance\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank database source for GDP-per-capita values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004884:24:1", "occurrence_id": "67985fbe1c2c290406b34564", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  In such cases, a nationally\n\n\nrepresentative household survey, which has much more heterogeneity across households than\n\n\nany baseline survey, is often the only source of data available to conduct simulations on.\n\n\nTherefore, for methodological as well as practical reasons, it is useful to test the validity of _ex_\n\n\n_ante_ predictions from the BFL model using the Mexican National Household Survey (ENIGH).\n\n\nThis is done by estimating the key parameters of the BFL model ( _αj_ ’s, _M_ and _D_ ) for all children of\n\n\nage 12-17 years with ENIGH 1996 (the round that was the closest to the launch of _PROGRESA_ ),\n\n\nand comparing the estimated parameters with those estimated with a similar model\n\n\nspecification for the same age group of children from the ENCEL survey.\n\n\nThe estimated parameters from ENIGH do not differ significantly from those estimated with the\n\n\nbaseline survey (Table 3). For all key parameters, the 95 percent confident interval generated by\n\n\nENIGH and ENCEL overlap each other and can thus be considered statistically similar. However,\n\n\n23\n\nMention: \"Mexican National Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"National household survey used to test whether BFL model predictions match observed household heterogeneity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004884:24:1", "occurrence_id": "577f2f7ce34a97ab60e233fa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  In such cases, a nationally\n\n\nrepresentative household survey, which has much more heterogeneity across households than\n\n\nany baseline survey, is often the only source of data available to conduct simulations on.\n\n\nTherefore, for methodological as well as practical reasons, it is useful to test the validity of _ex_\n\n\n_ante_ predictions from the BFL model using the Mexican National Household Survey (ENIGH).\n\n\nThis is done by estimating the key parameters of the BFL model ( _αj_ ’s, _M_ and _D_ ) for all children of\n\n\nage 12-17 years with ENIGH 1996 (the round that was the closest to the launch of _PROGRESA_ ),\n\n\nand comparing the estimated parameters with those estimated with a similar model\n\n\nspecification for the same age group of children from the ENCEL survey.\n\n\nThe estimated parameters from ENIGH do not differ significantly from those estimated with the\n\n\nbaseline survey (Table 3). For all key parameters, the 95 percent confident interval generated by\n\n\nENIGH and ENCEL overlap each other and can thus be considered statistically similar. However,\n\n\n23\n\nMention: \"ENIGH 1996\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"1996 ENIGH round used to estimate BFL model parameters and compare them with ENCEL estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004884:24:1", "occurrence_id": "40ec550442a7062940a40de8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  In such cases, a nationally\n\n\nrepresentative household survey, which has much more heterogeneity across households than\n\n\nany baseline survey, is often the only source of data available to conduct simulations on.\n\n\nTherefore, for methodological as well as practical reasons, it is useful to test the validity of _ex_\n\n\n_ante_ predictions from the BFL model using the Mexican National Household Survey (ENIGH).\n\n\nThis is done by estimating the key parameters of the BFL model ( _αj_ ’s, _M_ and _D_ ) for all children of\n\n\nage 12-17 years with ENIGH 1996 (the round that was the closest to the launch of _PROGRESA_ ),\n\n\nand comparing the estimated parameters with those estimated with a similar model\n\n\nspecification for the same age group of children from the ENCEL survey.\n\n\nThe estimated parameters from ENIGH do not differ significantly from those estimated with the\n\n\nbaseline survey (Table 3). For all key parameters, the 95 percent confident interval generated by\n\n\nENIGH and ENCEL overlap each other and can thus be considered statistically similar. However,\n\n\n23\n\nMention: \"ENCEL survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"ENCEL estimates provide a baseline comparison for parameters estimated with ENIGH.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004899:8:0", "occurrence_id": "315c00158248ff08d7677baf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: The main strength of the DLM database is that it distinguishes between\nthree levels of education for migrants. High-skilled migrants are those with postsecondary/tertiary education. Medium-skilled migrants are those with uppersecondary education completed. Low-skilled migrants are those with less than\nupper-secondary education, including those with lower-secondary and primary\neducation or those who did not go to school. The main characteristics of the\ndiaspora that we consider in this paper are the following:\n\n\n  - The bilateral migration flow for each skill group from origin country  - to\ndestination OECD country d is proxied by the change between 1990 and\n2000 in the stock of migrants from   - to d.\n\n\n  - The bilateral indicator of positive selection is proxied by the log-ratio of\nthe number of high-skilled to low-skilled new migrants from   - to d (we\ndisregard medium-skilled migrants for this specification with no impact\non the results)\n\n\n  - The bilateral indicator of relative concentration is the ’high-skill minus\nlow-skill’ difference in the squared proportions of migrants from a given\norigin country    - to the 30 possible destinations, following equation (4).\n\n\n  - The size of the existing diaspora is measured as the immigrant population\nborn in country   - and living in the OECD country d (≠ o) in 1990.\n\n\n3.1 Individual vs aggregate data\n\n\nThe use of aggregate macro data has many advantages but also introduces\ncertain complications. In this section, we discuss the pros and cons of using\nthis dataset, and the main econometric issues triggered by our approach. An\nimportant distinction in the empirical analysis of migration data concerns the\nuse of a individual (micro) data as opposed to aggregate (macro) one. Micro\ndata are collected at the household and/or individual level to study the impact\nof networks on the propensity to migrate and the educational composition of\nthe migrants (Massey, 1986; Munshi, 2003, McKenzie and Rapoport, 2010).\nThese datasets\n\nMention: \"DLM database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Database used to construct bilateral migrant-flow, skill-selection, concentration, and diaspora-size measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "ae630fe6662f0da2fe266c24", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"Consumer Expenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Consumer expenditure survey cited for typical U.S. food spending.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "d2713e887a8344a1088c7424", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"Consumer Price Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"U.S. CPI basket provides the processed-food comparison for the global food index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "976c92ab34532b86094fd618", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"global food index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Food index compared with the U.S. CPI to explain differences in food-price weights.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "8a2e4a621e0d3c7e5ec0e0da", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"USDA\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"USDA marketing-bill data cited in the food-consumption discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "f99d555a011e4a1d7ce90487", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"Federal Reserve Board Staff calculation\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Federal Reserve Board staff calculation contributes to the estimate of African food-expenditure shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "e35268d0c980f8c1afafcb35", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"IMF\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"IMF is cited among sources for African food-expenditure statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "7e667f186dda17ce5811bae5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"World Bank\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank is cited among sources for African food-expenditure statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004922:7:1", "occurrence_id": "ae32f69ea20d75ceca66cb53", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  food Consumer Price Index where the\n\n\nbasket places greater weight on processed foods. The reason for the smaller increase in food\n\n\ncommodity prices is that Americans tend to consume highly processed foods. When U.S.\n\n\nconsumers purchase foods from supermarkets, convenience stores, or restaurants, a large\n\nfraction goes to cover labor associated with preparing, serving, and marketing the food. <sup>5</sup>\n\n\nSimilar patterns are observed in other developed countries. This is not the case in developing\n\n\ncountries. The poor spend a larger fraction of their income on food, whereas the typical\n\nAmerican spends slightly less than 14% of total expenditures on food. <sup>6</sup> In contrast, Africans\n\nspend 43% of their expenditures on food, <sup>7</sup> and those subsisting on less than one dollar per day\n\nin Sub-Saharan Africa may dedicate as much as 70% of their expenditures to food. <sup>8</sup>\n\n\nWe need a statement that the global food index assigns greater weight to raw grains unlike the\n\n\nU.S. CPI where the basket is processed foods. And we should refer to rich nations in general\n\n\n_5USDA, http://www.ers.usda.gov/Data/FarmToConsumer/Data/marketingbilltable1.htm_\n_6U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, 2006._\n_ftp://ftp.bls.gov/pub/special.requests/ce/share/2006/income.txt. Typical American refers to an individual at the median income_\n_level._\n_7Federal Reserve Board Staff calculation, IMF, and World Bank._\n_8The International Food Policy Research Institute 2020 Discussion Paper No. 43, “The World’s Most Deprived.”_\n\n\n6\n\nMention: \"International Food Policy Research Institute\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Discussion paper cited for food-expenditure burdens among people living on under one dollar per day.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004924:9:0", "occurrence_id": "1fad618da932be97f22dfdf0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: The data contain nutrition and health information for children under six, health and service use\n\n\ninformation for adults, and health spending for households. Children’s nutrition measures, such as\n\n\nunderweight and stunting, are constructed using objective measures of weight and height. Health\n\n\nmeasures include self-reported disability and chronic diseases, illness, and accidents. Health care\n\n\nservice information includes each child’s immunization, assisted child delivery, and regular health\n\n\ncheckups with health professionals. <sup>14</sup> [^14: World Bank (2007) noted that the questionnaire of HBS 2005 did not clearly distinguish if the question meant to\nask about delivery by a doctor, midwife or a medically trained professional.]\n\n\n<u>Health and Health Care in Yemen</u>\n\n\nThe most serious health problem faced by Yemenis is women and children’s health, where the\n\n\nachievement of Millennium Development Goals (MDGs) proves challenging. Child malnutrition is\n\n\nstrikingly prevalent in Yemen where more than half of children under five suffer from malnutrition. <sup>15</sup> [^15: See UNICEF (2006).]\n\n\nThis is among the world’s highest child malnutrition rate along with Iraq and Sudan. Progress towards\n\n\nreducing the child malnutrition rate by half has been slow. The maternal mortality rate, 365 deaths per\n\n\n100,000 lives, is the highest among the Middle East and North Africa (MENA) region countries. <sup>16</sup> [^16: See World Bank (2009).]\n\n\nWhile health indicators in Yemen pose a serious problem, access to health services are low,\n\n\nand services for major treatments are prohibitively expensive. The government, Ministry of Public\n\n\nHealth and Population (MOPHP), is the main health service provider in Yemen. They operate a three\n\ntier network of primary, secondary, and tertiary level facilities through governorate and district health\n\n\noffices. One of the major challenges of the Yemeni health system is low coverage among the\n\n\npopulation. Furthermore, large discrepancies exist\n\nMention: \"HBS 2005\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household survey provides child nutrition, adult health/service-use, and household health-spending data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004924:9:0", "occurrence_id": "5eeafb9440d5e7ec6cfbe704", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: The data contain nutrition and health information for children under six, health and service use\n\n\ninformation for adults, and health spending for households. Children’s nutrition measures, such as\n\n\nunderweight and stunting, are constructed using objective measures of weight and height. Health\n\n\nmeasures include self-reported disability and chronic diseases, illness, and accidents. Health care\n\n\nservice information includes each child’s immunization, assisted child delivery, and regular health\n\n\ncheckups with health professionals. <sup>14</sup> [^14: World Bank (2007) noted that the questionnaire of HBS 2005 did not clearly distinguish if the question meant to\nask about delivery by a doctor, midwife or a medically trained professional.]\n\n\n<u>Health and Health Care in Yemen</u>\n\n\nThe most serious health problem faced by Yemenis is women and children’s health, where the\n\n\nachievement of Millennium Development Goals (MDGs) proves challenging. Child malnutrition is\n\n\nstrikingly prevalent in Yemen where more than half of children under five suffer from malnutrition. <sup>15</sup> [^15: See UNICEF (2006).]\n\n\nThis is among the world’s highest child malnutrition rate along with Iraq and Sudan. Progress towards\n\n\nreducing the child malnutrition rate by half has been slow. The maternal mortality rate, 365 deaths per\n\n\n100,000 lives, is the highest among the Middle East and North Africa (MENA) region countries. <sup>16</sup> [^16: See World Bank (2009).]\n\n\nWhile health indicators in Yemen pose a serious problem, access to health services are low,\n\n\nand services for major treatments are prohibitively expensive. The government, Ministry of Public\n\n\nHealth and Population (MOPHP), is the main health service provider in Yemen. They operate a three\n\ntier network of primary, secondary, and tertiary level facilities through governorate and district health\n\n\noffices. One of the major challenges of the Yemeni health system is low coverage among the\n\n\npopulation. Furthermore, large discrepancies exist\n\nMention: \"UNICEF (2006)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Cited as background support for the discussion of child malnutrition in Yemen.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:004924:9:0", "occurrence_id": "e6ca03cc6054ddb60cf94ef9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: The data contain nutrition and health information for children under six, health and service use\n\n\ninformation for adults, and health spending for households. Children’s nutrition measures, such as\n\n\nunderweight and stunting, are constructed using objective measures of weight and height. Health\n\n\nmeasures include self-reported disability and chronic diseases, illness, and accidents. Health care\n\n\nservice information includes each child’s immunization, assisted child delivery, and regular health\n\n\ncheckups with health professionals. <sup>14</sup> [^14: World Bank (2007) noted that the questionnaire of HBS 2005 did not clearly distinguish if the question meant to\nask about delivery by a doctor, midwife or a medically trained professional.]\n\n\n<u>Health and Health Care in Yemen</u>\n\n\nThe most serious health problem faced by Yemenis is women and children’s health, where the\n\n\nachievement of Millennium Development Goals (MDGs) proves challenging. Child malnutrition is\n\n\nstrikingly prevalent in Yemen where more than half of children under five suffer from malnutrition. <sup>15</sup> [^15: See UNICEF (2006).]\n\n\nThis is among the world’s highest child malnutrition rate along with Iraq and Sudan. Progress towards\n\n\nreducing the child malnutrition rate by half has been slow. The maternal mortality rate, 365 deaths per\n\n\n100,000 lives, is the highest among the Middle East and North Africa (MENA) region countries. <sup>16</sup> [^16: See World Bank (2009).]\n\n\nWhile health indicators in Yemen pose a serious problem, access to health services are low,\n\n\nand services for major treatments are prohibitively expensive. The government, Ministry of Public\n\n\nHealth and Population (MOPHP), is the main health service provider in Yemen. They operate a three\n\ntier network of primary, secondary, and tertiary level facilities through governorate and district health\n\n\noffices. One of the major challenges of the Yemeni health system is low coverage among the\n\n\npopulation. Furthermore, large discrepancies exist\n\nMention: \"World Bank (2009)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Cited as background support for the maternal-mortality statistic in Yemen.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005004:15:0", "occurrence_id": "809c1910cd8cdd28ae7b5913", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (8)\n\n\nNext we decompose job creation into entry and expansion and job destruction into exit\n\n\nand contraction:\n\n###### JC _ Entryt  i ( X it / X t ) I  git  2 \n\n,                   (9)\n\n\nwhere I is an indicator variable equal to one if the expression in the brackets holds and zero\n\notherwise, and _git_  2 denotes an entrant.\n\n\n, (10)\n\n\nwhere I is an indicator variable equal to one if the expression in the brackets holds and zero\n\notherwise, and _git_  2 denotes an exit.\n\n\nWe commence with an analysis of firm dynamics in Cote d‟Ivoire over the sample period\n\n\n(Figure 4). Entry rates average 12.4% over the period, which is somewhat higher than the 8%\n\n\naverage entry rates calculated by Klapper et al. (2010) for a broad sample of low- and middle\n\nincome countries based on data from the World Bank Entrepreneurship Survey. However, the\n\n\nhigh degree of volatility associated with Cote d‟Ivoire‟s entry rates suggests a challenging\n\n\nbusiness environment. Similarly, we find an average turnover rate of 24% with a high degree of\n\n\nvolatility. These findings are consistent with Klapper et al. (2006) and Bartelsman et al. (2009)\n\n\nwho find a (contemporaneous) relationship between entry rates and the business environment.\n\n\nWe also examine one-year survival rates of firms in Cote d‟Ivoire (Panel B) and discover that on\n\n\naverage, 83% of firms survive until age 2.\n\n\nNext, in Figure 5, we summarize employment dynamics at new and exited firms and jobs\n\n\ncreated and lost at incumbent firms. Panel A shows that on average, the job destruction rate at\n\n\nexiting firms is 7.3% versus 8.0% due to firings at incumbent firms. In comparison, the job\n\n\ncreation rate at new firms is 8.0% versus 6.\n\nMention: \"World Bank Entrepreneurship Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Comparator survey evidence for average firm entry rates in low- and middle-income countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005007:23:3", "occurrence_id": "336a21b82bc6b22ea7800835", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: )|3.164***<br>(0.310)|3.102***<br>(0.289)|3.522***<br>(0.120)|2.464***<br>(0.149)|\n|_R2 _|0.241||0.246|0.238|0.239|0.236||0.240|0.234|\n|_Obs._|6924|8571|6924|6924|6924|14620|18776|14620|14620|\n\n\nNote: Columns (1) and (2) report results from estimating determinants of the log of household monthly electricity consumption\nidentified in equation (1) via OLS and Maximum likelihood model using 2008 HBS data. Columns (3) report the results from\nestimating equation (2) via OLS using 2008 HBS data. Columns (4) report the results from estimating equation (1) via OLS but\nwithout permitting heterogeneity in price elasticities across income groups using 2008 HBS data. Columns (5) - (8) report estimation\nusing 2008 and 2009 HBS data. I cannot reject the null hypothesis that coefficients on price elasticities are the same for the OLS and\nMLE estimation in all cases. Columns (9) report estimation of equation (3) via OLS using 2008 HBS data. Additional estimates of\nequation (3) are reported in Table 5. Standard errors are reported in parentheses. *** indicates significant at the 1% level; **indicates\nsignificant at the 5% level; * indicates significant at the 10% level.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n22\n\nMention: \"2008 HBS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household-survey data used to estimate determinants of monthly electricity consumption and price elasticities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005007:23:3", "occurrence_id": "02f0ba67ad2226f7c9cd3ba2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: )|3.164***<br>(0.310)|3.102***<br>(0.289)|3.522***<br>(0.120)|2.464***<br>(0.149)|\n|_R2 _|0.241||0.246|0.238|0.239|0.236||0.240|0.234|\n|_Obs._|6924|8571|6924|6924|6924|14620|18776|14620|14620|\n\n\nNote: Columns (1) and (2) report results from estimating determinants of the log of household monthly electricity consumption\nidentified in equation (1) via OLS and Maximum likelihood model using 2008 HBS data. Columns (3) report the results from\nestimating equation (2) via OLS using 2008 HBS data. Columns (4) report the results from estimating equation (1) via OLS but\nwithout permitting heterogeneity in price elasticities across income groups using 2008 HBS data. Columns (5) - (8) report estimation\nusing 2008 and 2009 HBS data. I cannot reject the null hypothesis that coefficients on price elasticities are the same for the OLS and\nMLE estimation in all cases. Columns (9) report estimation of equation (3) via OLS using 2008 HBS data. Additional estimates of\nequation (3) are reported in Table 5. Standard errors are reported in parentheses. *** indicates significant at the 1% level; **indicates\nsignificant at the 5% level; * indicates significant at the 10% level.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n22\n\nMention: \"2009 HBS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"2009 HBS data are included with 2008 data in later model estimations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005031:39:6", "occurrence_id": "0b27660d93874ca92cb1a6e5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>35<br>40<br>45<br>50<br>55<br>60<br>Age<br>2001<br>2005<br>2010<br>D10<br>Migrant Female|\n\n\n\n(D10: sample distribution in 2010)\n\n_Source_ : China Urban Labor Survey (CULS) from 2001, 2005 and 2010. The CULS team worked with local offices\nof the National Bureau of Statistics to collect representative samples of local and migrant households. In the 2010\nsurvey round, this included 700 local resident households and 600 migrant households per city surveyed. In the first\nwave, there were 600 local households and 500 migrants sampled per city. Descriptive statistics are presented for the\nfive cities where the survey was implemented in 2001, 2005 and 2010: Fuzhou, Shanghai, Shenyang, Wuhan and\nXian. The CULS was developed and administered by the Institute for Population and Labor Economics at the\nChinese Academy of Social Sciences (CASS-IPLE) with consultation from faculty at University of Oxford and\nresearchers from the World Bank.\n\n\n38\n\nMention: \"China Urban Labor Survey (CULS)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Representative local- and migrant-household survey across five Chinese cities, used to describe urban labor and migration patterns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005053:42:1", "occurrence_id": "341d57b4e4c8f321198b5fb3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Koolwal, G., and H. Samad (2010). _Handbook on Impact Evaluation_ . Washington\nDC: The World Bank.\n\n\nKlapper, L. and I. Love (2010). ―The Impact of Business Environment Reforms on New Firm\nRegistration,‖ World Bank Policy Research Working Paper 5493.\n\n\nLalonde, R. (1986). ―Evaluating the Econometric Evaluations of Training Programs Using\nExperimental Data,‖ _American Economic Review_ 76, 602-620.\n\n\nLederman, D., M. Olarreaga, and L. Payton (2010). ―Export Promotion Agencies Revisited,‖\n_Journal of Development Economics_ 91, 257-265.\n\n\nLederman, D., Rodríguez-Clare, A., and D. Xu (2011). ―Entrepreneurship and the extensive\nmargin in export growth: a microeconomic accounting of Costa Rica's export growth during\n1997-2007,‖ _World Bank Economic Review_ 25, 543-561.\n\n\n[Lopez-Acevedo, G. and M. Tinajero (2010). ―Mexico: Impact Evaluation of SME Programs](http://econ.worldbank.org/external/default/?pagePK=64165259&theSitePK=469372&piPK=64165421&menuPK=64166093&entityID=000158349_20100125134750)\n[using Panel Firm Data,‖ World Bank Policy Research Working Paper 5186.](http://econ.worldbank.org/external/default/?pagePK=64165259&theSitePK=469372&piPK=64165421&menuPK=64166093&entityID=000158349_20100125134750)\n\n\nManski, C. (1997). ―The Mixing Problem in Programme Evaluation,‖ _Review of Economic_\n\nMention: \"Panel Firm Data\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Bibliography citation to an SME-program impact evaluation using panel firm data; no direct use in the current passage is described.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005065:5:0", "occurrence_id": "198aab66b177aa1b1285cf52", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: corruption was considerably _lower._ If these results are replicated at the international level, it\nsuggests the potential for considerable bias in measures such as the CPI.\n\n\nWe further probe whether expert opinion about overall corruption accurately reflects\nobservations reported by firms. Firms probably know better, whether and to what degree they\nthemselves are exposed to corruption. At the same time, firms might underreport based on fear\nof discovery (Thompson and Shah, 2005). Bias may also lead to over-reporting in answer to\nquestions such as „firms like yours.‟ As Svensson (2005) argues, this might not matter much for\ncross-country comparisons, if such misreporting is not systematically related to country\ncharacteristics. We use the enterprise surveys (ES) of the World Bank to test this hypothesis.\n\n\nFor our exercise we compare rankings. Even if firms were systematically to underreport\ncorruption in highly corrupt countries, this need not change that country‟s ranking if underreporting is similar across countries. Of course, it could be that in some corrupt countries firms\ntry to understate the extent of corruption, whereas in others they do not care to do so. We cannot\ncontrol for such an effect, but highlight some intriguing cases.\n\n\nEnterprise surveys, which by now cover 125 countries ask firms whether “an informal gift of\npayment [was] expected or requested” for eight transactions, to obtain licenses for operation,\nconstruction and imports, when paying taxes or applying for a government contract as well as\nconnections to electricity, water and telephony. The correlation between these different\nindicators of bribery ranges from 0.41 to 0.82 (Table 1 reports selected correlations). Not being\nvery strongly correlated, it thus seems that they may capture a range of information about\nbribery.\n\n\n\n**<u>Table 1: Correlation of selected rankings for bribe payments</u>**\n\n\n\n\n\n\n\n\n\n\n\n\n|Transaction|Construction<br>permit|Operations<br>license|Government<br>\n\nMention: \"enterprise surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Bank enterprise surveys test whether expert corruption rankings reflect firms’ reported bribery exposure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005065:5:0", "occurrence_id": "63ce70b5867fb41d0c18a7fd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: corruption was considerably _lower._ If these results are replicated at the international level, it\nsuggests the potential for considerable bias in measures such as the CPI.\n\n\nWe further probe whether expert opinion about overall corruption accurately reflects\nobservations reported by firms. Firms probably know better, whether and to what degree they\nthemselves are exposed to corruption. At the same time, firms might underreport based on fear\nof discovery (Thompson and Shah, 2005). Bias may also lead to over-reporting in answer to\nquestions such as „firms like yours.‟ As Svensson (2005) argues, this might not matter much for\ncross-country comparisons, if such misreporting is not systematically related to country\ncharacteristics. We use the enterprise surveys (ES) of the World Bank to test this hypothesis.\n\n\nFor our exercise we compare rankings. Even if firms were systematically to underreport\ncorruption in highly corrupt countries, this need not change that country‟s ranking if underreporting is similar across countries. Of course, it could be that in some corrupt countries firms\ntry to understate the extent of corruption, whereas in others they do not care to do so. We cannot\ncontrol for such an effect, but highlight some intriguing cases.\n\n\nEnterprise surveys, which by now cover 125 countries ask firms whether “an informal gift of\npayment [was] expected or requested” for eight transactions, to obtain licenses for operation,\nconstruction and imports, when paying taxes or applying for a government contract as well as\nconnections to electricity, water and telephony. The correlation between these different\nindicators of bribery ranges from 0.41 to 0.82 (Table 1 reports selected correlations). Not being\nvery strongly correlated, it thus seems that they may capture a range of information about\nbribery.\n\n\n\n**<u>Table 1: Correlation of selected rankings for bribe payments</u>**\n\n\n\n\n\n\n\n\n\n\n\n\n|Transaction|Construction<br>permit|Operations<br>license|Government<br>\n\nMention: \"Enterprise surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Surveys ask firms across countries about informal payments for licenses, taxes, contracts, and utilities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005100:10:1", "occurrence_id": "3b0cdaf54c114d781f30311d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  We approximate the exchange rate regime _de facto_ in\n\n\nplace in the country by the database developed by Reinhart and Rogoff (2004) and\n\n\nupdated by Ilzetzky, Reinhart and Rogoff (2009). These authors have developed a\n\n\nnew system to classify historical exchange rate regimes. In contrast to previous\n\n\n4 The sign of the coefficient of relative labor productivity at Home (relative to the Foreign) country will\nbe positive (negative) if the surge in aggregate labor productivity is explain by shocks to tradables\n(non-tradables).\n5 The coefficient estimate of the ratio of net foreign assets (NFA) to GDP may be subject to issues of\nreverse causality as it can be argued that the NFA position of the country is sensitive to valuation\neffects arising from changes in the real exchange rate. In spite of the detrending the NFA position\n(using band-pass filtering techniques), this permament component of NFA is still determined by the\nexchange rate. For instance, a real depreciation will increase the absolute value of the stock of net\nforeign debt assets over GDP. Therefore, net debtors would see their NFA worsening with a\ndepreciation, which captures the correlation implicit in the model but for the wrong reasons.\n\n\n9\n\nMention: \"Reinhart and Rogoff (2004)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Exchange-rate-regime database used to approximate the country’s de facto regime.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005100:10:1", "occurrence_id": "75f1e6d38ec57a9116dc1a06", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  We approximate the exchange rate regime _de facto_ in\n\n\nplace in the country by the database developed by Reinhart and Rogoff (2004) and\n\n\nupdated by Ilzetzky, Reinhart and Rogoff (2009). These authors have developed a\n\n\nnew system to classify historical exchange rate regimes. In contrast to previous\n\n\n4 The sign of the coefficient of relative labor productivity at Home (relative to the Foreign) country will\nbe positive (negative) if the surge in aggregate labor productivity is explain by shocks to tradables\n(non-tradables).\n5 The coefficient estimate of the ratio of net foreign assets (NFA) to GDP may be subject to issues of\nreverse causality as it can be argued that the NFA position of the country is sensitive to valuation\neffects arising from changes in the real exchange rate. In spite of the detrending the NFA position\n(using band-pass filtering techniques), this permament component of NFA is still determined by the\nexchange rate. For instance, a real depreciation will increase the absolute value of the stock of net\nforeign debt assets over GDP. Therefore, net debtors would see their NFA worsening with a\ndepreciation, which captures the correlation implicit in the model but for the wrong reasons.\n\n\n9\n\nMention: \"updated by Ilzetzky, Reinhart and Rogoff (2009)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"2009 update to the historical exchange-rate-regime classification database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005161:29:0", "occurrence_id": "a407600a7d5b3695f12b2bab", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>Description of step</u>\n\n\nIt is suggested that when the level of the IU has changed in the last ten years, with limited data at\nthe new IU-level, the calculation procedure outlined in sections ‎ 2, ‎ 3, and ‎ 4 is directly applied to data\nat the level of the new IU, where any missing new-IU level data for the last ten years is filled in with\nthe corresponding data for the old IU. For example, for groundnut in Gram Panchayat GP1 of\nAndhra Pradesh, yield data was collected at the mandal level from 2000 to 2006, with GP-level yield\ndata recorded from 2007 to 2009 (see Table 16). If products are to be offered at the level of the GP,\nthe data to be used in de-trending, calculation of the threshold yield and pure premium rate is\ntherefore the concatenation of mandal-level data from 2000 to 2006 and GP-level data from 2007 to\n2009.\n\n\n\n\n\n\n|Table 16. Groundnut in|n one gram panchayat in Andhra pradesh: data for threshold yield and pure premium rate calculations|Col3|Col4|Col5|Col6|Col7|Col8|Col9|Col10|Col11|\n|---|---|---|---|---|---|---|---|---|---|---|\n|**District**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg\n\nMention: \"GP-level yield\ndata\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GP-level groundnut yield observations used in de-trending and calculating threshold yield and pure-premium rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005161:29:0", "occurrence_id": "49d401835eb6f519484c869f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>Description of step</u>\n\n\nIt is suggested that when the level of the IU has changed in the last ten years, with limited data at\nthe new IU-level, the calculation procedure outlined in sections ‎ 2, ‎ 3, and ‎ 4 is directly applied to data\nat the level of the new IU, where any missing new-IU level data for the last ten years is filled in with\nthe corresponding data for the old IU. For example, for groundnut in Gram Panchayat GP1 of\nAndhra Pradesh, yield data was collected at the mandal level from 2000 to 2006, with GP-level yield\ndata recorded from 2007 to 2009 (see Table 16). If products are to be offered at the level of the GP,\nthe data to be used in de-trending, calculation of the threshold yield and pure premium rate is\ntherefore the concatenation of mandal-level data from 2000 to 2006 and GP-level data from 2007 to\n2009.\n\n\n\n\n\n\n|Table 16. Groundnut in|n one gram panchayat in Andhra pradesh: data for threshold yield and pure premium rate calculations|Col3|Col4|Col5|Col6|Col7|Col8|Col9|Col10|Col11|\n|---|---|---|---|---|---|---|---|---|---|---|\n|**District**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg/ha)**|**Historical yield data, before de-trending (kg\n\nMention: \"mandal-level data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Mandal-level groundnut yield data concatenated with later GP-level records for insurance-rate calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005212:29:0", "occurrence_id": "5f9d98ac91816b9dd189debe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: successive primary deficits. The same holds true for the aggregate performance of states; figure 6\n\n\nshows that the fiscal correction phase in states also coincides with a higher GDP growth rate and\n\n\nlower rate of interest paid on state debt. This was also in part the result of fiscal correction,\n\n\nwhich led to a reduction in government dis-savings and debt. This, however, masks the varied\n\n\nfiscal performance of individual states, which has been mixed over the period, causing concern\n\n\nin the context of the global crisis.\n\n\n**Figure 6: Differential between GDP growth rate and interest rate on state debt**\n\n\n\n\n\n\n\nSource: authors‘ calculation with base data from RBI\n\n\n**Section 5: Impact of the Global Financial Crisis and Going Forward**\n\n\nAlthough, the immediate impact of the global financial crisis on state finances was\n\n\nsomewhat subdued, there are implications going forward. The challenges will be more on the\n\n\nresource side through reduced central transfers, accentuated by the low-cost recovery by states.\n\n\nThese may well render difficult the achievement of the Thirteenth FC road map. Going forward,\n\n\nsustainable finances require states to undertake reforms to maintain solvency via, among other\n\n\nthings, increases in own taxes, implementing the goods and services tax (GST), and revising\n\n\ntariffs.\n\n\nAssessing the impact of the crisis on the center, the immediate impact was relatively\n\n―muted‖ (Milan 2011 <sup>44</sup> ; RBI 2011). Although there was a setback in the growth of the economy,\n\n\n44 Milan et al. (2011), ―Fiscal Policy for Growth and Development in India: A Review‖ (work in progress).\n\n\n28\n\nMention: \"RBI\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"RBI base data used in authors’ calculation of state-level GDP-growth and debt-interest-rate differences.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005214:12:0", "occurrence_id": "e3696266ac2912e9b9cf4e9d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Since the micro data from POEA does not include skill levels, we calculate average\n\neducation levels by occupation using the 1992-2003 Survey of Overseas Filipinos (SOF), <sup>7</sup> [^7: The Philippine Labor Force Survey is administered annually to a nationally-representative sample of households.\nThe SOF is administered as a rider to the LFS if the household reports having any members working overseas, and\ncontains information on migrant demographics, overseas occupation and location, and remittances (all reported by\nthe household remaining behind in the Philippines).] and\n\n\nassign each occupation the average education level. We use this to then construct skill quartiles\n\n\nof aggregated occupational cells in our data. The average years of education for occupations in\n\n\nthe first quartile is 11.6 years, 12.8 years for the second quartile, 13.8 years for the third quartile,\n\n\nand 15.1 years of education for the fourth quartile. One sees notable differences in the wages that\n\n\na worker of a given skill level can earn across destination countries. For instance, OFWs in the\n\n\nfirst skill quartile in Saudi Arabia receive an average wage of $336 per month, whereas OFWs of\n\n\nthe same skill level in Japan earn an average monthly wage of $1,505. This large variation across\n\n\ndestination countries holds for the more skilled quartiles as well. The highest skilled workers in\n\n\nSaudi Arabia earn $553 per month, whereas in Japan these OFWs earn $1,661 on average each\n\n\nmonth.\n\n\n**3.2** **Macro Data**\n\n\nData on annual real GDP (constant 2000 US$) over the sample period were obtained from the\n\n\nWorld Development Indicators database and the CIA World Factbook. These data are then\n\n\nmatched to the POEA data based on destination country and year of departure. Over the sample\n\n\nperiod, destination countries in our sample experience vastly different rates of GDP growth as\n\n\nwell as varied fluctuations in growth. For instance, during the Asian Financial Crisis, Asian\n\n\ncountries such as Japan or South\n\nMention: \"POEA\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"POEA microdata identify overseas workers; occupation-based schooling is added to classify skill levels.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005214:12:0", "occurrence_id": "ee9038364171aaad834e2ee6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Since the micro data from POEA does not include skill levels, we calculate average\n\neducation levels by occupation using the 1992-2003 Survey of Overseas Filipinos (SOF), <sup>7</sup> [^7: The Philippine Labor Force Survey is administered annually to a nationally-representative sample of households.\nThe SOF is administered as a rider to the LFS if the household reports having any members working overseas, and\ncontains information on migrant demographics, overseas occupation and location, and remittances (all reported by\nthe household remaining behind in the Philippines).] and\n\n\nassign each occupation the average education level. We use this to then construct skill quartiles\n\n\nof aggregated occupational cells in our data. The average years of education for occupations in\n\n\nthe first quartile is 11.6 years, 12.8 years for the second quartile, 13.8 years for the third quartile,\n\n\nand 15.1 years of education for the fourth quartile. One sees notable differences in the wages that\n\n\na worker of a given skill level can earn across destination countries. For instance, OFWs in the\n\n\nfirst skill quartile in Saudi Arabia receive an average wage of $336 per month, whereas OFWs of\n\n\nthe same skill level in Japan earn an average monthly wage of $1,505. This large variation across\n\n\ndestination countries holds for the more skilled quartiles as well. The highest skilled workers in\n\n\nSaudi Arabia earn $553 per month, whereas in Japan these OFWs earn $1,661 on average each\n\n\nmonth.\n\n\n**3.2** **Macro Data**\n\n\nData on annual real GDP (constant 2000 US$) over the sample period were obtained from the\n\n\nWorld Development Indicators database and the CIA World Factbook. These data are then\n\n\nmatched to the POEA data based on destination country and year of departure. Over the sample\n\n\nperiod, destination countries in our sample experience vastly different rates of GDP growth as\n\n\nwell as varied fluctuations in growth. For instance, during the Asian Financial Crisis, Asian\n\n\ncountries such as Japan or South\n\nMention: \"Survey of Overseas Filipinos\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey provides occupation-specific education levels used to construct migrant skill quartiles.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005214:12:0", "occurrence_id": "0fbc9f0deed67af6da24e216", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Since the micro data from POEA does not include skill levels, we calculate average\n\neducation levels by occupation using the 1992-2003 Survey of Overseas Filipinos (SOF), <sup>7</sup> [^7: The Philippine Labor Force Survey is administered annually to a nationally-representative sample of households.\nThe SOF is administered as a rider to the LFS if the household reports having any members working overseas, and\ncontains information on migrant demographics, overseas occupation and location, and remittances (all reported by\nthe household remaining behind in the Philippines).] and\n\n\nassign each occupation the average education level. We use this to then construct skill quartiles\n\n\nof aggregated occupational cells in our data. The average years of education for occupations in\n\n\nthe first quartile is 11.6 years, 12.8 years for the second quartile, 13.8 years for the third quartile,\n\n\nand 15.1 years of education for the fourth quartile. One sees notable differences in the wages that\n\n\na worker of a given skill level can earn across destination countries. For instance, OFWs in the\n\n\nfirst skill quartile in Saudi Arabia receive an average wage of $336 per month, whereas OFWs of\n\n\nthe same skill level in Japan earn an average monthly wage of $1,505. This large variation across\n\n\ndestination countries holds for the more skilled quartiles as well. The highest skilled workers in\n\n\nSaudi Arabia earn $553 per month, whereas in Japan these OFWs earn $1,661 on average each\n\n\nmonth.\n\n\n**3.2** **Macro Data**\n\n\nData on annual real GDP (constant 2000 US$) over the sample period were obtained from the\n\n\nWorld Development Indicators database and the CIA World Factbook. These data are then\n\n\nmatched to the POEA data based on destination country and year of departure. Over the sample\n\n\nperiod, destination countries in our sample experience vastly different rates of GDP growth as\n\n\nwell as varied fluctuations in growth. For instance, during the Asian Financial Crisis, Asian\n\n\ncountries such as Japan or South\n\nMention: \"World Development Indicators database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of annual real GDP data matched to overseas-worker records by destination and departure year.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005214:12:0", "occurrence_id": "dfd1efb2c983b29c77cc52bc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Since the micro data from POEA does not include skill levels, we calculate average\n\neducation levels by occupation using the 1992-2003 Survey of Overseas Filipinos (SOF), <sup>7</sup> [^7: The Philippine Labor Force Survey is administered annually to a nationally-representative sample of households.\nThe SOF is administered as a rider to the LFS if the household reports having any members working overseas, and\ncontains information on migrant demographics, overseas occupation and location, and remittances (all reported by\nthe household remaining behind in the Philippines).] and\n\n\nassign each occupation the average education level. We use this to then construct skill quartiles\n\n\nof aggregated occupational cells in our data. The average years of education for occupations in\n\n\nthe first quartile is 11.6 years, 12.8 years for the second quartile, 13.8 years for the third quartile,\n\n\nand 15.1 years of education for the fourth quartile. One sees notable differences in the wages that\n\n\na worker of a given skill level can earn across destination countries. For instance, OFWs in the\n\n\nfirst skill quartile in Saudi Arabia receive an average wage of $336 per month, whereas OFWs of\n\n\nthe same skill level in Japan earn an average monthly wage of $1,505. This large variation across\n\n\ndestination countries holds for the more skilled quartiles as well. The highest skilled workers in\n\n\nSaudi Arabia earn $553 per month, whereas in Japan these OFWs earn $1,661 on average each\n\n\nmonth.\n\n\n**3.2** **Macro Data**\n\n\nData on annual real GDP (constant 2000 US$) over the sample period were obtained from the\n\n\nWorld Development Indicators database and the CIA World Factbook. These data are then\n\n\nmatched to the POEA data based on destination country and year of departure. Over the sample\n\n\nperiod, destination countries in our sample experience vastly different rates of GDP growth as\n\n\nwell as varied fluctuations in growth. For instance, during the Asian Financial Crisis, Asian\n\n\ncountries such as Japan or South\n\nMention: \"CIA World Factbook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Additional source of annual real GDP data matched to overseas-worker records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005214:12:0", "occurrence_id": "d5f1752d65d1327b2068fa34", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Since the micro data from POEA does not include skill levels, we calculate average\n\neducation levels by occupation using the 1992-2003 Survey of Overseas Filipinos (SOF), <sup>7</sup> [^7: The Philippine Labor Force Survey is administered annually to a nationally-representative sample of households.\nThe SOF is administered as a rider to the LFS if the household reports having any members working overseas, and\ncontains information on migrant demographics, overseas occupation and location, and remittances (all reported by\nthe household remaining behind in the Philippines).] and\n\n\nassign each occupation the average education level. We use this to then construct skill quartiles\n\n\nof aggregated occupational cells in our data. The average years of education for occupations in\n\n\nthe first quartile is 11.6 years, 12.8 years for the second quartile, 13.8 years for the third quartile,\n\n\nand 15.1 years of education for the fourth quartile. One sees notable differences in the wages that\n\n\na worker of a given skill level can earn across destination countries. For instance, OFWs in the\n\n\nfirst skill quartile in Saudi Arabia receive an average wage of $336 per month, whereas OFWs of\n\n\nthe same skill level in Japan earn an average monthly wage of $1,505. This large variation across\n\n\ndestination countries holds for the more skilled quartiles as well. The highest skilled workers in\n\n\nSaudi Arabia earn $553 per month, whereas in Japan these OFWs earn $1,661 on average each\n\n\nmonth.\n\n\n**3.2** **Macro Data**\n\n\nData on annual real GDP (constant 2000 US$) over the sample period were obtained from the\n\n\nWorld Development Indicators database and the CIA World Factbook. These data are then\n\n\nmatched to the POEA data based on destination country and year of departure. Over the sample\n\n\nperiod, destination countries in our sample experience vastly different rates of GDP growth as\n\n\nwell as varied fluctuations in growth. For instance, during the Asian Financial Crisis, Asian\n\n\ncountries such as Japan or South\n\nMention: \"POEA data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"POEA data linked to destination-country GDP and year of departure for the study’s overseas-worker analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005214:12:0", "occurrence_id": "438fe7f8c8a12ab64140872e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Since the micro data from POEA does not include skill levels, we calculate average\n\neducation levels by occupation using the 1992-2003 Survey of Overseas Filipinos (SOF), <sup>7</sup> [^7: The Philippine Labor Force Survey is administered annually to a nationally-representative sample of households.\nThe SOF is administered as a rider to the LFS if the household reports having any members working overseas, and\ncontains information on migrant demographics, overseas occupation and location, and remittances (all reported by\nthe household remaining behind in the Philippines).] and\n\n\nassign each occupation the average education level. We use this to then construct skill quartiles\n\n\nof aggregated occupational cells in our data. The average years of education for occupations in\n\n\nthe first quartile is 11.6 years, 12.8 years for the second quartile, 13.8 years for the third quartile,\n\n\nand 15.1 years of education for the fourth quartile. One sees notable differences in the wages that\n\n\na worker of a given skill level can earn across destination countries. For instance, OFWs in the\n\n\nfirst skill quartile in Saudi Arabia receive an average wage of $336 per month, whereas OFWs of\n\n\nthe same skill level in Japan earn an average monthly wage of $1,505. This large variation across\n\n\ndestination countries holds for the more skilled quartiles as well. The highest skilled workers in\n\n\nSaudi Arabia earn $553 per month, whereas in Japan these OFWs earn $1,661 on average each\n\n\nmonth.\n\n\n**3.2** **Macro Data**\n\n\nData on annual real GDP (constant 2000 US$) over the sample period were obtained from the\n\n\nWorld Development Indicators database and the CIA World Factbook. These data are then\n\n\nmatched to the POEA data based on destination country and year of departure. Over the sample\n\n\nperiod, destination countries in our sample experience vastly different rates of GDP growth as\n\n\nwell as varied fluctuations in growth. For instance, during the Asian Financial Crisis, Asian\n\n\ncountries such as Japan or South\n\nMention: \"Philippine Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Annual household survey serves as the sampling framework for the SOF migrant module.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005265:3:0", "occurrence_id": "f44d65e689804553fac05475", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2\n\n\n**1.** **Introduction**\n\nSince 2000, banking credit to the private sector has declined in real terms and as a share\nof Egypt’s GDP. During the past decade the banking system witnessed recapitalization of public\nbanks and two different cycles of external capital flows. Capital flowed in until mid-2008 when\nthe global financial crisis erupted, and flowed out until mid-2009. As global risk appetite\nrecovered, capital flowed back in until the last quarter of 2010, when global capital markets\ntightened again and the January 2011 uprising accentuated the capital outflow.\n\n\nAside from the capital flows’ stop-go cycles, public finance deficits and financing needs\ncreated an expansion-contraction-expansion cycle that affected bank credit to the private\nsector. Output fluctuations with episodes of high growth as well as output contractions affected\nthe private sector’s demand for credit. This paper describes how these factors interact to\nproduce a decline in credit to the private sector.\n\n\nThe paper first examines the stylized facts of bank credit to the private sector in an\ninternational context, benchmarking the expected amount of private sector credit for a country\nwith Egypt’s characteristics (using FINSTAT, a benchmarking tool developed by the World Bank).\nIt also explores the evolution of banking sector sources and uses, based on its aggregate\nbalance sheet and similar exercises performed for Latin America and the MENA regions (Barajas\net al., 2002; 2010).\n\n\nThe central objective of the paper is to estimate credit supply and demand equations in\nline with the abundant empirical literature on the topic. Some studies examine the issue\nassuming that prices are flexible enough to clear the market by equalizing supply and demand.\nOthers assume that prices are not perfectly flexible and estimate demand and supply equations\nusing the short-side rule (i.e. that observed credit quantities can occur on the demand or supply\nschedules, whichever is smallest, at a given interest rate). Assuming an excess supply or\ndemand at a given\n\nMention: \"FINSTAT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Benchmarking tool estimates expected private-sector credit for Egypt given its characteristics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005287:23:0", "occurrence_id": "76a49f7a971dfb0c1e101760", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Note that electricity prices do not figure in this expression, because they are assumed to be same\n\nfor each project. <sup>12</sup> [^12: This is usually a reasonable assumption in the context of a single project, but it is a very strong assumption when\none considers larger portfolios of projects to lower national emissions volumes or their growth rates.] Using data from EC (2008) and IEA (2005), Table 7 presents mean estimates\n\n\nof the switching prices between the different technologies, including renewables – biomass,\n\nhydro, wind and solar. <sup>13</sup> [^13: Using the mean values hides considerable total variation, however. If the least costly renewable technologies are\ncompared with the most costly fossil fuel technologies, then biomass, wind and hydro technologies have 0 or\nnegative switching prices versus the two coal technologies, indicating that these technologies would be preferred\n(from the world perspective) even for a $0 social cost of carbon. Note as well that the levelized cost methodology\nmasks the sensitivity of switching prices to discount rates in the case of capital-intensive renewable technologies, as\nshown in expression (10).]\n\n\n**Table 7: Mean estimates of switching prices (two most comprehensive studies)**\n\n\n\n<mark>Technology</mark> <mark>Switching price</mark>\n\n\n\n<mark>from</mark>\n<mark>to</mark>\n\n\n\n<mark>to</mark> <mark>$/t CO2</mark>\n\n<u><mark>Pulverized coal</mark></u> <u><mark>IGCC</mark></u> <u><mark>Gas</mark></u>\n<u><mark>Pulverized coal</mark></u> <u><mark>.</mark></u> <u><mark>.</mark>\n\nMention: \"EC (2008)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source study for mean switching-price estimates among renewable and fossil-fuel technologies.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005287:23:0", "occurrence_id": "cacb07bac00c8b6aa62e57bb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Note that electricity prices do not figure in this expression, because they are assumed to be same\n\nfor each project. <sup>12</sup> [^12: This is usually a reasonable assumption in the context of a single project, but it is a very strong assumption when\none considers larger portfolios of projects to lower national emissions volumes or their growth rates.] Using data from EC (2008) and IEA (2005), Table 7 presents mean estimates\n\n\nof the switching prices between the different technologies, including renewables – biomass,\n\nhydro, wind and solar. <sup>13</sup> [^13: Using the mean values hides considerable total variation, however. If the least costly renewable technologies are\ncompared with the most costly fossil fuel technologies, then biomass, wind and hydro technologies have 0 or\nnegative switching prices versus the two coal technologies, indicating that these technologies would be preferred\n(from the world perspective) even for a $0 social cost of carbon. Note as well that the levelized cost methodology\nmasks the sensitivity of switching prices to discount rates in the case of capital-intensive renewable technologies, as\nshown in expression (10).]\n\n\n**Table 7: Mean estimates of switching prices (two most comprehensive studies)**\n\n\n\n<mark>Technology</mark> <mark>Switching price</mark>\n\n\n\n<mark>from</mark>\n<mark>to</mark>\n\n\n\n<mark>to</mark> <mark>$/t CO2</mark>\n\n<u><mark>Pulverized coal</mark></u> <u><mark>IGCC</mark></u> <u><mark>Gas</mark></u>\n<u><mark>Pulverized coal</mark></u> <u><mark>.</mark></u> <u><mark>.</mark>\n\nMention: \"IEA (2005)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source study for mean switching-price estimates among renewable and fossil-fuel technologies.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005293:12:0", "occurrence_id": "7daf95977635ec87d60dbbdc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 3. External Business Environment Constraints,**\n**Kazakhstan, the Kyrgyz Republic, Tajikistan, and Europe and Central Asia**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|BEEPS indicators, various years|Col2|Europe &<br>Central Asia,<br>2009|Kazakhstan,<br>2009|Kyrgyz<br>Republic,<br>2009|Tajikistan,<br>2008|\n|---|---|---|---|---|---|\n|Permits and<br>Licensing<br>|Number of days to obtain an<br>operating license|26|32|18|23|\n|Permits and<br>Licensing<br>|Number of days to obtain a<br>construction-related permit|78|68|65|63|\n|Permits and<br>Licensing<br>|Number of days to obtain an<br>import license|16|23|10|14|\n|Permits and<br>Licensing<br>|Percentage of firms identifying<br>business licensing and permits as<br>a major constraint|16|25|16|17|\n|Regulation<br>and tax<br>issues|Percentage of senior<br>management time spent on<br>dealing<br>with requirements of<br>government regulations|11|5|5|12|\n|Regulation<br>and tax<br>issues|Average number of visits or<br>required meetings with tax<br>officials in a typical month|2|3|2|2|\n|Regulation<br>and tax<br>issues|Percentage of firms identifying<br>tax rates as a major constraint|40|46|48\n\nMention: \"BEEPS indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey indicators compare firms’ business-environment constraints across Central Asia and Europe and Central Asia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005317:9:0", "occurrence_id": "4374c381dfb6b9570f34953c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: consumption expenditures. An important question then is: How do households adjust their\n\n\nconsumption due to higher energy prices? While there is no evidence of price elasticity of\n\n\ndemand for Armenia, as is the case for most transition economies. However, a post gas hike\n\n\nsurvey of residents of multi-apartment buildings shows that the use of gas-based heating declined\n\n\nin 2010 given the sharp increase of gas tariffs for small consumers (EDRC, 2011). According to\n\n\nthis survey, while gas remained the dominant heating source, the share of households relying on\n\n\nit decreased from 72.5% during the 2008-2009 heating season to about 69.8% during the 2010\n\n2011 heating season. There was increased use of electricity and firewood for heating during the\n\n\nsame period. In the following section, the impact of current gas price hike is simulated for\n\n\ndifferent household groups, under a range of assumptions about price elasticity of demand.\n\n##### **3. Welfare Impact of the Gas Price Hike**\n\n\nGas is an important fuel for heating and cooking, as well as an input into the production of many\n\n\ngoods and services (see Table 5). The gas price increase can therefore influence the cost of the\n\n\nbasic consumption basket and the price of other alternative energy sources such as electricity and\n\n\nfuelwood. Ideally the welfare impact should be analyzed in a general equilibrium framework that\n\n\ntakes into account such linkages. However, general equilibrium modeling is data intensive and\n\n\nsensitive to a number of assumptions. In this paper, the analysis is necessarily limited to the\n\n\n_direct_ impact of the gas price increase on household welfare.\n\n###### **_Methodology and data_**\n\n\nThe 2008 ILCS data is used in the simulation of the impact of gasp price hike on April 1, 2010.\n\n\nThe ILCS collects data from nearly 8,000 Armenian households surveyed year round. It is based\n\n\non a representative sample of about 2,000 households surveyed each quarter.\n\nMention: \"2008 ILCS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Representative Armenian household-survey data used to simulate welfare effects of the 2010 gas-price increase.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005317:9:0", "occurrence_id": "55f171d306e2341a43a1cc65", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: consumption expenditures. An important question then is: How do households adjust their\n\n\nconsumption due to higher energy prices? While there is no evidence of price elasticity of\n\n\ndemand for Armenia, as is the case for most transition economies. However, a post gas hike\n\n\nsurvey of residents of multi-apartment buildings shows that the use of gas-based heating declined\n\n\nin 2010 given the sharp increase of gas tariffs for small consumers (EDRC, 2011). According to\n\n\nthis survey, while gas remained the dominant heating source, the share of households relying on\n\n\nit decreased from 72.5% during the 2008-2009 heating season to about 69.8% during the 2010\n\n2011 heating season. There was increased use of electricity and firewood for heating during the\n\n\nsame period. In the following section, the impact of current gas price hike is simulated for\n\n\ndifferent household groups, under a range of assumptions about price elasticity of demand.\n\n##### **3. Welfare Impact of the Gas Price Hike**\n\n\nGas is an important fuel for heating and cooking, as well as an input into the production of many\n\n\ngoods and services (see Table 5). The gas price increase can therefore influence the cost of the\n\n\nbasic consumption basket and the price of other alternative energy sources such as electricity and\n\n\nfuelwood. Ideally the welfare impact should be analyzed in a general equilibrium framework that\n\n\ntakes into account such linkages. However, general equilibrium modeling is data intensive and\n\n\nsensitive to a number of assumptions. In this paper, the analysis is necessarily limited to the\n\n\n_direct_ impact of the gas price increase on household welfare.\n\n###### **_Methodology and data_**\n\n\nThe 2008 ILCS data is used in the simulation of the impact of gasp price hike on April 1, 2010.\n\n\nThe ILCS collects data from nearly 8,000 Armenian households surveyed year round. It is based\n\n\non a representative sample of about 2,000 households surveyed each quarter.\n\nMention: \"survey of residents of multi-apartment buildings\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Post-price-hike survey documents changes in household heating-source use.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005330:27:2", "occurrence_id": "d4972cb9b4ceb5a423e45a04", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  fraction of population with access to electricity, is\n\nobtained from World Energy Outlook 2006, 2009 and 2010 published by the International\nEnergy Agency ( [http://www.worldenergyoutlook.org/](http://www.worldenergyoutlook.org/) ).\n\n- Access to improved water and sanitation in urban and rural areas is defined as the fraction of\n\ntotal population with access to these services. It is taken from the WDI database of The\nWorld Bank ( [http://data.worldbank.org/](http://data.worldbank.org/) )\n\n- Waste water treatment, measured as the fraction of the population connected to public waste\n\nwater treatment plants, is obtained from the United Nations Statistical Division\n( [http://unstats.un.org/unsd/environment/wastewater.htm](http://unstats.un.org/unsd/environment/wastewater.htm) )\n\n- Kilometers of total and paved roads and port traffic in tons for Oman are obtained from the\n\n[Ministry of National Economy (http://www.moneoman.gov.om/Stat_Online_desp.aspx).](http://www.moneoman.gov.om/Stat_Online_desp.aspx)\n\n- Electrification rate for Djibouti is taken from the Energy Survey carried out by the\n\nGovernment and the World Bank.\n[(http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)](http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)\n\n\n26\n\nMention: \"WDI database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"WDI source for population access to improved water and sanitation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005330:27:2", "occurrence_id": "0b7d4e1508dc9b81026fc794", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  fraction of population with access to electricity, is\n\nobtained from World Energy Outlook 2006, 2009 and 2010 published by the International\nEnergy Agency ( [http://www.worldenergyoutlook.org/](http://www.worldenergyoutlook.org/) ).\n\n- Access to improved water and sanitation in urban and rural areas is defined as the fraction of\n\ntotal population with access to these services. It is taken from the WDI database of The\nWorld Bank ( [http://data.worldbank.org/](http://data.worldbank.org/) )\n\n- Waste water treatment, measured as the fraction of the population connected to public waste\n\nwater treatment plants, is obtained from the United Nations Statistical Division\n( [http://unstats.un.org/unsd/environment/wastewater.htm](http://unstats.un.org/unsd/environment/wastewater.htm) )\n\n- Kilometers of total and paved roads and port traffic in tons for Oman are obtained from the\n\n[Ministry of National Economy (http://www.moneoman.gov.om/Stat_Online_desp.aspx).](http://www.moneoman.gov.om/Stat_Online_desp.aspx)\n\n- Electrification rate for Djibouti is taken from the Energy Survey carried out by the\n\nGovernment and the World Bank.\n[(http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)](http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)\n\n\n26\n\nMention: \"Energy Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Energy survey provides Djibouti’s electrification rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005330:27:2", "occurrence_id": "bf6ba95d9ef5f95095285215", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  fraction of population with access to electricity, is\n\nobtained from World Energy Outlook 2006, 2009 and 2010 published by the International\nEnergy Agency ( [http://www.worldenergyoutlook.org/](http://www.worldenergyoutlook.org/) ).\n\n- Access to improved water and sanitation in urban and rural areas is defined as the fraction of\n\ntotal population with access to these services. It is taken from the WDI database of The\nWorld Bank ( [http://data.worldbank.org/](http://data.worldbank.org/) )\n\n- Waste water treatment, measured as the fraction of the population connected to public waste\n\nwater treatment plants, is obtained from the United Nations Statistical Division\n( [http://unstats.un.org/unsd/environment/wastewater.htm](http://unstats.un.org/unsd/environment/wastewater.htm) )\n\n- Kilometers of total and paved roads and port traffic in tons for Oman are obtained from the\n\n[Ministry of National Economy (http://www.moneoman.gov.om/Stat_Online_desp.aspx).](http://www.moneoman.gov.om/Stat_Online_desp.aspx)\n\n- Electrification rate for Djibouti is taken from the Energy Survey carried out by the\n\nGovernment and the World Bank.\n[(http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)](http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)\n\n\n26\n\nMention: \"World Energy Outlook\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"World Energy Outlook editions provide electricity-access data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005330:27:2", "occurrence_id": "4b14eb060a8af178f6d66337", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  fraction of population with access to electricity, is\n\nobtained from World Energy Outlook 2006, 2009 and 2010 published by the International\nEnergy Agency ( [http://www.worldenergyoutlook.org/](http://www.worldenergyoutlook.org/) ).\n\n- Access to improved water and sanitation in urban and rural areas is defined as the fraction of\n\ntotal population with access to these services. It is taken from the WDI database of The\nWorld Bank ( [http://data.worldbank.org/](http://data.worldbank.org/) )\n\n- Waste water treatment, measured as the fraction of the population connected to public waste\n\nwater treatment plants, is obtained from the United Nations Statistical Division\n( [http://unstats.un.org/unsd/environment/wastewater.htm](http://unstats.un.org/unsd/environment/wastewater.htm) )\n\n- Kilometers of total and paved roads and port traffic in tons for Oman are obtained from the\n\n[Ministry of National Economy (http://www.moneoman.gov.om/Stat_Online_desp.aspx).](http://www.moneoman.gov.om/Stat_Online_desp.aspx)\n\n- Electrification rate for Djibouti is taken from the Energy Survey carried out by the\n\nGovernment and the World Bank.\n[(http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)](http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)\n\n\n26\n\nMention: \"United Nations Statistical Division\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Source for the share of population connected to public wastewater-treatment plants.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005330:27:2", "occurrence_id": "1484727dc5295054266c5dec", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  fraction of population with access to electricity, is\n\nobtained from World Energy Outlook 2006, 2009 and 2010 published by the International\nEnergy Agency ( [http://www.worldenergyoutlook.org/](http://www.worldenergyoutlook.org/) ).\n\n- Access to improved water and sanitation in urban and rural areas is defined as the fraction of\n\ntotal population with access to these services. It is taken from the WDI database of The\nWorld Bank ( [http://data.worldbank.org/](http://data.worldbank.org/) )\n\n- Waste water treatment, measured as the fraction of the population connected to public waste\n\nwater treatment plants, is obtained from the United Nations Statistical Division\n( [http://unstats.un.org/unsd/environment/wastewater.htm](http://unstats.un.org/unsd/environment/wastewater.htm) )\n\n- Kilometers of total and paved roads and port traffic in tons for Oman are obtained from the\n\n[Ministry of National Economy (http://www.moneoman.gov.om/Stat_Online_desp.aspx).](http://www.moneoman.gov.om/Stat_Online_desp.aspx)\n\n- Electrification rate for Djibouti is taken from the Energy Survey carried out by the\n\nGovernment and the World Bank.\n[(http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)](http://www.ministere-finances.dj/statistiques/Projets/rapportfinalenergie.pdf)\n\n\n26\n\nMention: \"Ministry of National Economy\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Ministry source for total/paved road kilometers and port traffic.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005340:14:0", "occurrence_id": "86e1c4686b4ff623a64f203a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 13\n\n\nbranches per 100,000 adults (commercial banks), the percentage of firms with line of credit (all\nfirms), and the percentage of firms with line of credit (small firms). When using these proxies,\none needs to be mindful of their weaknesses. For example, the number of bank branches is\nbecoming increasingly misleading with the move towards branchless banking. The number of\nbank accounts does not suffer from the same issue, but it has its own limitations (in particular, it\nfocuses on banks only, and does not correct for the fact that some bank clients have numerous\naccounts).\n\n\nMuch of the data for the financial access dimension of the Global Financial Development\nDatabase came from the IMF‘s recently established Access to Finance database, which is based\non earlier work by Beck, Demirgüç-Kunt and Martinez Peria (2007). A portion of the financial\naccess data is from the newly constructed the _Global Financial Inclusion Indicators_, or ―Global\nFindex‖ (Demirgüç-Kunt and Klapper 2012). The Global Findex is the first public database of\nindicators that consistently measures individuals‘ usage of financial products across countries\nand over time. It can be used to track the potential impact of global financial inclusion policies\nand facilitate a deeper and more nuanced understanding of how adults around the world save,\nborrow and make payments. It is based on detailed interviews with at least 1,000 people per\ncountry in some 150 countries about their financial behavior through the Gallup World Poll\nsurvey.\n\n\n_Financial markets._ Data on access to financial markets are more scant. To approximate access to\nstock and bond markets, measures of market concentration are used, the idea being that a higher\ndegree of concentration reflects greater difficulties for access for newer or smaller issuers. The\nvariables in this category include the percentage of market capitalization outside of top 10 largest\ncompanies, the percentage of value traded outside of top 10 traded companies, government\n\nMention: \"Global Financial Development\nDatabase\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Financial-development database compiles measures of financial access from IMF and Global Findex sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005340:14:0", "occurrence_id": "5daf50ec72403f75a11685fc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 13\n\n\nbranches per 100,000 adults (commercial banks), the percentage of firms with line of credit (all\nfirms), and the percentage of firms with line of credit (small firms). When using these proxies,\none needs to be mindful of their weaknesses. For example, the number of bank branches is\nbecoming increasingly misleading with the move towards branchless banking. The number of\nbank accounts does not suffer from the same issue, but it has its own limitations (in particular, it\nfocuses on banks only, and does not correct for the fact that some bank clients have numerous\naccounts).\n\n\nMuch of the data for the financial access dimension of the Global Financial Development\nDatabase came from the IMF‘s recently established Access to Finance database, which is based\non earlier work by Beck, Demirgüç-Kunt and Martinez Peria (2007). A portion of the financial\naccess data is from the newly constructed the _Global Financial Inclusion Indicators_, or ―Global\nFindex‖ (Demirgüç-Kunt and Klapper 2012). The Global Findex is the first public database of\nindicators that consistently measures individuals‘ usage of financial products across countries\nand over time. It can be used to track the potential impact of global financial inclusion policies\nand facilitate a deeper and more nuanced understanding of how adults around the world save,\nborrow and make payments. It is based on detailed interviews with at least 1,000 people per\ncountry in some 150 countries about their financial behavior through the Gallup World Poll\nsurvey.\n\n\n_Financial markets._ Data on access to financial markets are more scant. To approximate access to\nstock and bond markets, measures of market concentration are used, the idea being that a higher\ndegree of concentration reflects greater difficulties for access for newer or smaller issuers. The\nvariables in this category include the percentage of market capitalization outside of top 10 largest\ncompanies, the percentage of value traded outside of top 10 traded companies, government\n\nMention: \"Access to Finance database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for much of the financial-access data in the Global Financial Development Database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005340:14:0", "occurrence_id": "1a9abe8d78db1d96fc5d80fb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 13\n\n\nbranches per 100,000 adults (commercial banks), the percentage of firms with line of credit (all\nfirms), and the percentage of firms with line of credit (small firms). When using these proxies,\none needs to be mindful of their weaknesses. For example, the number of bank branches is\nbecoming increasingly misleading with the move towards branchless banking. The number of\nbank accounts does not suffer from the same issue, but it has its own limitations (in particular, it\nfocuses on banks only, and does not correct for the fact that some bank clients have numerous\naccounts).\n\n\nMuch of the data for the financial access dimension of the Global Financial Development\nDatabase came from the IMF‘s recently established Access to Finance database, which is based\non earlier work by Beck, Demirgüç-Kunt and Martinez Peria (2007). A portion of the financial\naccess data is from the newly constructed the _Global Financial Inclusion Indicators_, or ―Global\nFindex‖ (Demirgüç-Kunt and Klapper 2012). The Global Findex is the first public database of\nindicators that consistently measures individuals‘ usage of financial products across countries\nand over time. It can be used to track the potential impact of global financial inclusion policies\nand facilitate a deeper and more nuanced understanding of how adults around the world save,\nborrow and make payments. It is based on detailed interviews with at least 1,000 people per\ncountry in some 150 countries about their financial behavior through the Gallup World Poll\nsurvey.\n\n\n_Financial markets._ Data on access to financial markets are more scant. To approximate access to\nstock and bond markets, measures of market concentration are used, the idea being that a higher\ndegree of concentration reflects greater difficulties for access for newer or smaller issuers. The\nvariables in this category include the percentage of market capitalization outside of top 10 largest\ncompanies, the percentage of value traded outside of top 10 traded companies, government\n\nMention: \"Global\nFindex\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Public database of indicators measuring individual use of financial products across countries and over time.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005340:14:0", "occurrence_id": "964ae8f7b6950cde4315f917", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 13\n\n\nbranches per 100,000 adults (commercial banks), the percentage of firms with line of credit (all\nfirms), and the percentage of firms with line of credit (small firms). When using these proxies,\none needs to be mindful of their weaknesses. For example, the number of bank branches is\nbecoming increasingly misleading with the move towards branchless banking. The number of\nbank accounts does not suffer from the same issue, but it has its own limitations (in particular, it\nfocuses on banks only, and does not correct for the fact that some bank clients have numerous\naccounts).\n\n\nMuch of the data for the financial access dimension of the Global Financial Development\nDatabase came from the IMF‘s recently established Access to Finance database, which is based\non earlier work by Beck, Demirgüç-Kunt and Martinez Peria (2007). A portion of the financial\naccess data is from the newly constructed the _Global Financial Inclusion Indicators_, or ―Global\nFindex‖ (Demirgüç-Kunt and Klapper 2012). The Global Findex is the first public database of\nindicators that consistently measures individuals‘ usage of financial products across countries\nand over time. It can be used to track the potential impact of global financial inclusion policies\nand facilitate a deeper and more nuanced understanding of how adults around the world save,\nborrow and make payments. It is based on detailed interviews with at least 1,000 people per\ncountry in some 150 countries about their financial behavior through the Gallup World Poll\nsurvey.\n\n\n_Financial markets._ Data on access to financial markets are more scant. To approximate access to\nstock and bond markets, measures of market concentration are used, the idea being that a higher\ndegree of concentration reflects greater difficulties for access for newer or smaller issuers. The\nvariables in this category include the percentage of market capitalization outside of top 10 largest\ncompanies, the percentage of value traded outside of top 10 traded companies, government\n\nMention: \"Gallup World Poll\nsurvey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey interviews provide financial-behavior data underlying Global Findex indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005352:47:0", "occurrence_id": "4d90604a1f9b89b1bf44788b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Figure 2: Population Density in 2000 against Pre-colonial Population Density (United States)\n\n\nNote: Pre-colonial Population Density is the number of indigenous people per square kilometer before the arrival\nof Columbus, Current Population Density is the total population in 2000 divided by the area of the state or\nprovince in square kilometers. Data from national censuses, Denevan (1992), and Bruhn and Gallego (2010).\nMore detailed data sources and descriptions in the text.\n\n\nFigure 3: Log Income per Capita in 2005 against Pre-colonial Population Density (United\nStates)\n\n\nNote: Pre-colonial Population Density is the number of indigenous people per square kilometer before the arrival\nof Columbus, Income is per capita (PPP 2005 US dollars) in 2000. Data from national censuses, Denevan (1992),\nand Bruhn and Gallego (2010). More detailed data sources and descriptions in the text.\n\n\n45\n\nMention: \"national censuses\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National census data support state/province population-density and income comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005352:47:0", "occurrence_id": "c4dd8136c8cdc7c1905a2332", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Figure 2: Population Density in 2000 against Pre-colonial Population Density (United States)\n\n\nNote: Pre-colonial Population Density is the number of indigenous people per square kilometer before the arrival\nof Columbus, Current Population Density is the total population in 2000 divided by the area of the state or\nprovince in square kilometers. Data from national censuses, Denevan (1992), and Bruhn and Gallego (2010).\nMore detailed data sources and descriptions in the text.\n\n\nFigure 3: Log Income per Capita in 2005 against Pre-colonial Population Density (United\nStates)\n\n\nNote: Pre-colonial Population Density is the number of indigenous people per square kilometer before the arrival\nof Columbus, Income is per capita (PPP 2005 US dollars) in 2000. Data from national censuses, Denevan (1992),\nand Bruhn and Gallego (2010). More detailed data sources and descriptions in the text.\n\n\n45\n\nMention: \"Denevan (1992)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Denevan source contributes pre-colonial population-density data used in both figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005352:47:0", "occurrence_id": "74c5daeb210e77ba2f039d9b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Figure 2: Population Density in 2000 against Pre-colonial Population Density (United States)\n\n\nNote: Pre-colonial Population Density is the number of indigenous people per square kilometer before the arrival\nof Columbus, Current Population Density is the total population in 2000 divided by the area of the state or\nprovince in square kilometers. Data from national censuses, Denevan (1992), and Bruhn and Gallego (2010).\nMore detailed data sources and descriptions in the text.\n\n\nFigure 3: Log Income per Capita in 2005 against Pre-colonial Population Density (United\nStates)\n\n\nNote: Pre-colonial Population Density is the number of indigenous people per square kilometer before the arrival\nof Columbus, Income is per capita (PPP 2005 US dollars) in 2000. Data from national censuses, Denevan (1992),\nand Bruhn and Gallego (2010). More detailed data sources and descriptions in the text.\n\n\n45\n\nMention: \"Bruhn and Gallego (2010)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Bruhn and Gallego source contributes pre-colonial population-density data used in both figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005356:14:0", "occurrence_id": "1a2b36fddaf04de2588e2d6c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: positive (negative) number means that the factor concerned raised (lowered) the debt ratio during\n\n\nthat sub-period.\n\n\n**Table 1 : Factors Explaining Government Debt to GDP Path** <sup>**a/**</sup>\n\n|Col1|1998-2004|2005|2006-08|2009-2010|\n|---|---|---|---|---|\n|Change in Government Debt / GDP<br>Underlying factors:<br>   Primary balance<br>   Real GPD growth<br>_   Real Interest Rate_<br>_   Real Exchange Rate_<br>   Privatization<br> Other factors|2.76<br>2.17<br>-3.79<br>_1.68_<br>_0.81_<br>-0.3<br>2.19|-11.72<br>2.13<br>-6.01<br>_-1.36_<br>_-3.92_<br>-0.04<br>-2.84|-3.08<br>1.95<br>-5.62<br>_-1.11_<br>_-1.98_<br>0<br>3.58|0.28<br>2.55<br>-4.57<br>_2.49_<br>_-2.48_<br>0<br>2.30|\n\n\n\na/ The numbers in the table are the _average annual_ impact of each factor for each sub-period of time in percentage\npoints of GDP.\n\nSource: CBSL Annual Reports, Bank staff calculations.\n\n\nIf we compare the debt build-up phase, 1998-2004\n\nMention: \"CBSL Annual Reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Annual reports and staff calculations provide inputs for the table decomposing government-debt-to-GDP changes by period.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005359:3:0", "occurrence_id": "f7c29eba21ba4fe04c4a5701", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **1.** **Introduction**\n\nDuring the last decade, the ownership structure of banking sectors in developing\n\n\ncountries changed substantially: most developing countries witnessed a sharp increase in foreign\n\n\nbank participation and a decline in government bank ownership. Between 1999 and 2009, on\n\n\naverage, the share of bank assets held by foreign banks in developing countries rose from 26\n\n\npercent to 46 percent, while government bank ownership declined from 28 percent to 19\n\n\npercent. <sup>1</sup> These changes in banking structure were in part motivated by increasing evidence that\n\n\nwhile foreign bank participation brought many benefits to developing countries, especially in\n\n\nterms of competition and banking sector efficiency <sup>2</sup>, government bank ownership was often\n\n\ndetrimental to the financial sector. <sup>3</sup>\n\n\nThe recent global financial crisis reignited the debate on the ownership structure of the\n\n\nbanking sector and its consequences for financial intermediation. Some have pointed to the\n\n\npresence of foreign banks in developing countries as a key mechanism for transmitting the 2008\n\n2009 crisis from advanced to developing countries (e.g., IMF, 2009). At the same time,\n\n\ndeveloping countries like Brazil, China, and India, where government-owned banks are\n\n\nsystemically important, recovered quickly from the crisis, generating interest in the potential\n\n\nmitigating role that these banks can play during periods of financial distress. <sup>4</sup>\n\n\nUsing bank-level data from 2004 to 2009, this paper examines the impact of bank\n\n\nownership on credit growth before and during the recent crisis. We analyze the growth of banks’\n\n\n1 These data come from the World Bank Regulation and Supervision Surveys. See\nhttp://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/0,,contentMDK:20345037~pagePK:\n64214825~piPK:64214943~theSite\n\nMention: \"World Bank Regulation and Supervision Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Survey data support statistics on changes in foreign and government ownership shares in developing-country banks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005379:17:1", "occurrence_id": "af73c2c3894dd3fd53514bcc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  look at whether the relatively higher intention to vote attributed to FA translates\n\n\ninto actual votes. Considering that voting is not compulsory, this point is of major importance\n\n\nin light of the large historical differences in registration and turnout rates in Colombia. For\n\n\ninstance, 44.3% of the population registered in the electoral census casted a ballot in the 2010\n\n\nPresidential elections <sup>17</sup> . Given the absence of voting records at the individual level, we exploit\n\n\n16The average registration rate for women in the sample of analysis is 95.5 percent.\n17Source: IDEA, website: `[http://www.idea.int/vt/country_view.cfm?id=48#pres](http://www.idea.int/vt/country_view.cfm?id=48##pres)`\n\n\n16\n\nMention: \"electoral census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Electoral-census registration denominator used to report voter turnout in Colombia’s 2010 presidential election.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005388:20:0", "occurrence_id": "d0cf24eab6810f5620e2c05f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: performance is about 45% larger for parts in components than for final goods. In addition, trade in the\n\n\nAsia-Pacific region—which is where international production networks are most developed—is\n\n\nparticularly sensitive to logistics performance. We also find evidence that South-South trade is more\n\n\nsensitive than average to logistics performance.\n\n\nAt least two important policy implications flow from our results. First, development of the logistics\n\n\nsector can obviously play a key role in promoting greater integration in international production\n\n\nnetworks. There is much that policymakers can do to assist that process. Building logistics competence is\n\n\na many-faceted process, however, involving issues such as regulation of transport and related sectors,\n\n\nborder procedures, infrastructure, and private sector development. Diagnostics exercises using the\n\n\nWorld Bank’s LPI database are a logical place to start for policymakers interested in addressing the key\n\n\nbottlenecks in national logistics performance (Arvis et al. 2010).\n\n\nSecond, developing country policymakers should pay particular note to the importance of logistics\n\n\nperformance in the context of South-South trade flows, particularly in parts and components. With\n\n\nsome degree of global rebalancing possible in the future, South-South trade is likely to assume increased\n\n\nprominence as a driver of worldwide demand (Haddad and Shepherd, 2011). Barriers to further South\n\nSouth economic integration—including those related to logistics performance—should therefore be a\n\n\npriority for policymakers going forward.\n\n\nIn terms of future research, there is considerable scope for confirming and extending our results. First,\n\n\nestimation in a true panel data framework would make it possible to control for an additional array of\n\n\ncountry-specific factors using fixed effects. Such an approach is not currently feasible, however. The LPI\n\n\nis now available for three years—2007, 2010, and 2012—but the lag with which trade data become\n\n\navailable, especially for developing countries, means that a true panel data approach will need to be left\n\n\nfor later versions of the LPI.\n\n\n19\n\nMention: \"LPI database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Logistics Performance Index data support analysis of how logistics quality relates to international and South–South trade; three waves are cited for future panel work.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005408:5:0", "occurrence_id": "7b6b0121600dc424a8ca6032", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To this end, we exploit the Ghana Urban Household Panel Survey (GUHPS), a data set\n\n\nunique in the African context and one of the very few longitudinal datasets in either the\n\n\ndeveloping or advanced world containing several measures of subjective satisfaction with\n\n\nwork, life and finances. By income, Ghana is broadly representative of sub-Saharan Africa\n\nand offers insight into low and low middle income countries more generally. <sup>4</sup> The GUHPS\n\n\npermits us to study job satisfaction across sectors, potentially controlling for unobserved\n\n\nheterogeneity, and thereby to better characterize developing country labor markets and\n\n\nassess how well the developed country literature generalizes to them. Using conventional\n\n\nordered categorical data models, we first test for the existence of self-employment and\n\n\nsmall firm satisfaction premia. Since studies of job satisfaction in developing countries are\n\n\nscarce (see Clark and Senik, 2010a, for a review of the literature) it is unknown whether\n\n\nthis finding translates to poor countries where such jobs often constitute the vast majority\n\n\nof employment, sometimes accounting for 70-80% of the labor force (see Kingdon et al.,\n\n2005). <sup>5</sup> The few studies of job satisfaction in developing countries that we are aware of tend\n\n\nto focus on a select subset of workers (Mulinge and Mueller, 1998), and rely exclusively\n\n\non cross-sectional datasets (Pratap and Quintin, 2006; Perry et al., 2007; B´oo et al., 2010;\n\n\nPag´es et al., 2008). In particular, we test whether the relative satisfaction premium for\n\n\nself-employment and informal salaried employment are more consistent with the competitive\n\n\nview emerging from the OECD literature, or a dualistic conceptualization of the informal\n\n\nsector: whether there is a positive satisfaction premium associated with formal jobs that\n\n\nwould signal that markets are not competitive, as well as identifying which characteristics\n\n\nmay be associated with it.\n\n\nWe then\n\nMention: \"Ghana Urban Household Panel Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Longitudinal household panel measures job satisfaction, work, life, and financial satisfaction across sectors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005408:5:0", "occurrence_id": "192806a1869a6696e0ec9df0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: To this end, we exploit the Ghana Urban Household Panel Survey (GUHPS), a data set\n\n\nunique in the African context and one of the very few longitudinal datasets in either the\n\n\ndeveloping or advanced world containing several measures of subjective satisfaction with\n\n\nwork, life and finances. By income, Ghana is broadly representative of sub-Saharan Africa\n\nand offers insight into low and low middle income countries more generally. <sup>4</sup> The GUHPS\n\n\npermits us to study job satisfaction across sectors, potentially controlling for unobserved\n\n\nheterogeneity, and thereby to better characterize developing country labor markets and\n\n\nassess how well the developed country literature generalizes to them. Using conventional\n\n\nordered categorical data models, we first test for the existence of self-employment and\n\n\nsmall firm satisfaction premia. Since studies of job satisfaction in developing countries are\n\n\nscarce (see Clark and Senik, 2010a, for a review of the literature) it is unknown whether\n\n\nthis finding translates to poor countries where such jobs often constitute the vast majority\n\n\nof employment, sometimes accounting for 70-80% of the labor force (see Kingdon et al.,\n\n2005). <sup>5</sup> The few studies of job satisfaction in developing countries that we are aware of tend\n\n\nto focus on a select subset of workers (Mulinge and Mueller, 1998), and rely exclusively\n\n\non cross-sectional datasets (Pratap and Quintin, 2006; Perry et al., 2007; B´oo et al., 2010;\n\n\nPag´es et al., 2008). In particular, we test whether the relative satisfaction premium for\n\n\nself-employment and informal salaried employment are more consistent with the competitive\n\n\nview emerging from the OECD literature, or a dualistic conceptualization of the informal\n\n\nsector: whether there is a positive satisfaction premium associated with formal jobs that\n\n\nwould signal that markets are not competitive, as well as identifying which characteristics\n\n\nmay be associated with it.\n\n\nWe then\n\nMention: \"GUHPS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GUHPS supports analysis of job satisfaction across sectors and tests self-employment and small-firm satisfaction premia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005422:4:0", "occurrence_id": "1892e75a5795a7c4715b0c4a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: From an analytical point of view, an important difference between this round and earlier\n\n\nnegotiating rounds has been the availability of much more detailed data on trade and trade\n\n\nbarriers, and much greater capability for quantitative analysis, which allowed researchers to keep\n\n\nup with the details of agreements as they evolved and to provide assessments at critical times. By\n\n\ncontrast with the Uruguay Round, when data on actual tariffs and trade policies became available\n\n\nonly for a limited number of countries, and only far after the event, analysts had access to much\n\n\nmore detailed information and analytical tools during the Doha negotiations. Important\n\n\ncontributing factors to this difference included detailed tariff from the CEPII-ITC MAcMAPs\n\n\nproject (Boumellassa, Laborde and Mitaritonna 2009); data on all agricultural protection from\n\n\nthe OECD (2011) and the Anderson (2009) study; and analytical databases and models building\n\n\non the Global Trade Analysis Project (GTAP) (see Hertel 1997 and www.gtap.org).\n\n\nUnfortunately, the complexity of the negotiating proposals grew even more quickly than\n\n\nthe ability of researchers to analyze them, making it a serious challenge to keep up with the\n\n\ndetails and to form an assessment of their implications (for some attempts, see Hufbauer, Schott\n\n\nand Wang 2010; Decreux and Fontagne 2009; Laborde, Martin and van der Mensbrugghe 2012;\n\n\nand Martin and Mattoo 2011). Further, communicating the results of research is not necessarily\n\n\neasy. When the estimated economic value of a Round was revised downwards in line with\n\n\nchanges in trade and protection data--and with evident reduction in the likely achievement of the\n\n\nround in terms of trade barrier reduction—the reasons for the changes in estimates needed to be\n\n\nvery carefully explained (van der Mensbrugghe 2006).\n\n\nOur focus is primarily on the exchange of concessions on protection and subsidies that is\n\n\ncentral to the negotiations. As a Development Round, the Doha Agenda also includes elements\n\n\nsuch\n\nMention: \"CEPII-ITC MAcMAPs\n\n\nproject\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Detailed tariff data supported quantitative assessments during the Doha negotiations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005422:4:0", "occurrence_id": "45ce0c697daa76e4c729d7e0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: From an analytical point of view, an important difference between this round and earlier\n\n\nnegotiating rounds has been the availability of much more detailed data on trade and trade\n\n\nbarriers, and much greater capability for quantitative analysis, which allowed researchers to keep\n\n\nup with the details of agreements as they evolved and to provide assessments at critical times. By\n\n\ncontrast with the Uruguay Round, when data on actual tariffs and trade policies became available\n\n\nonly for a limited number of countries, and only far after the event, analysts had access to much\n\n\nmore detailed information and analytical tools during the Doha negotiations. Important\n\n\ncontributing factors to this difference included detailed tariff from the CEPII-ITC MAcMAPs\n\n\nproject (Boumellassa, Laborde and Mitaritonna 2009); data on all agricultural protection from\n\n\nthe OECD (2011) and the Anderson (2009) study; and analytical databases and models building\n\n\non the Global Trade Analysis Project (GTAP) (see Hertel 1997 and www.gtap.org).\n\n\nUnfortunately, the complexity of the negotiating proposals grew even more quickly than\n\n\nthe ability of researchers to analyze them, making it a serious challenge to keep up with the\n\n\ndetails and to form an assessment of their implications (for some attempts, see Hufbauer, Schott\n\n\nand Wang 2010; Decreux and Fontagne 2009; Laborde, Martin and van der Mensbrugghe 2012;\n\n\nand Martin and Mattoo 2011). Further, communicating the results of research is not necessarily\n\n\neasy. When the estimated economic value of a Round was revised downwards in line with\n\n\nchanges in trade and protection data--and with evident reduction in the likely achievement of the\n\n\nround in terms of trade barrier reduction—the reasons for the changes in estimates needed to be\n\n\nvery carefully explained (van der Mensbrugghe 2006).\n\n\nOur focus is primarily on the exchange of concessions on protection and subsidies that is\n\n\ncentral to the negotiations. As a Development Round, the Doha Agenda also includes elements\n\n\nsuch\n\nMention: \"Global Trade Analysis Project\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Analytical databases and models built on GTAP supported research assessments of trade negotiations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005422:4:0", "occurrence_id": "ff6df9f862e779d3a90b02ec", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: From an analytical point of view, an important difference between this round and earlier\n\n\nnegotiating rounds has been the availability of much more detailed data on trade and trade\n\n\nbarriers, and much greater capability for quantitative analysis, which allowed researchers to keep\n\n\nup with the details of agreements as they evolved and to provide assessments at critical times. By\n\n\ncontrast with the Uruguay Round, when data on actual tariffs and trade policies became available\n\n\nonly for a limited number of countries, and only far after the event, analysts had access to much\n\n\nmore detailed information and analytical tools during the Doha negotiations. Important\n\n\ncontributing factors to this difference included detailed tariff from the CEPII-ITC MAcMAPs\n\n\nproject (Boumellassa, Laborde and Mitaritonna 2009); data on all agricultural protection from\n\n\nthe OECD (2011) and the Anderson (2009) study; and analytical databases and models building\n\n\non the Global Trade Analysis Project (GTAP) (see Hertel 1997 and www.gtap.org).\n\n\nUnfortunately, the complexity of the negotiating proposals grew even more quickly than\n\n\nthe ability of researchers to analyze them, making it a serious challenge to keep up with the\n\n\ndetails and to form an assessment of their implications (for some attempts, see Hufbauer, Schott\n\n\nand Wang 2010; Decreux and Fontagne 2009; Laborde, Martin and van der Mensbrugghe 2012;\n\n\nand Martin and Mattoo 2011). Further, communicating the results of research is not necessarily\n\n\neasy. When the estimated economic value of a Round was revised downwards in line with\n\n\nchanges in trade and protection data--and with evident reduction in the likely achievement of the\n\n\nround in terms of trade barrier reduction—the reasons for the changes in estimates needed to be\n\n\nvery carefully explained (van der Mensbrugghe 2006).\n\n\nOur focus is primarily on the exchange of concessions on protection and subsidies that is\n\n\ncentral to the negotiations. As a Development Round, the Doha Agenda also includes elements\n\n\nsuch\n\nMention: \"OECD (2011)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Agricultural-protection data contributed to quantitative assessments of Doha proposals.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005422:4:0", "occurrence_id": "970931df8994cd1b0e886494", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: From an analytical point of view, an important difference between this round and earlier\n\n\nnegotiating rounds has been the availability of much more detailed data on trade and trade\n\n\nbarriers, and much greater capability for quantitative analysis, which allowed researchers to keep\n\n\nup with the details of agreements as they evolved and to provide assessments at critical times. By\n\n\ncontrast with the Uruguay Round, when data on actual tariffs and trade policies became available\n\n\nonly for a limited number of countries, and only far after the event, analysts had access to much\n\n\nmore detailed information and analytical tools during the Doha negotiations. Important\n\n\ncontributing factors to this difference included detailed tariff from the CEPII-ITC MAcMAPs\n\n\nproject (Boumellassa, Laborde and Mitaritonna 2009); data on all agricultural protection from\n\n\nthe OECD (2011) and the Anderson (2009) study; and analytical databases and models building\n\n\non the Global Trade Analysis Project (GTAP) (see Hertel 1997 and www.gtap.org).\n\n\nUnfortunately, the complexity of the negotiating proposals grew even more quickly than\n\n\nthe ability of researchers to analyze them, making it a serious challenge to keep up with the\n\n\ndetails and to form an assessment of their implications (for some attempts, see Hufbauer, Schott\n\n\nand Wang 2010; Decreux and Fontagne 2009; Laborde, Martin and van der Mensbrugghe 2012;\n\n\nand Martin and Mattoo 2011). Further, communicating the results of research is not necessarily\n\n\neasy. When the estimated economic value of a Round was revised downwards in line with\n\n\nchanges in trade and protection data--and with evident reduction in the likely achievement of the\n\n\nround in terms of trade barrier reduction—the reasons for the changes in estimates needed to be\n\n\nvery carefully explained (van der Mensbrugghe 2006).\n\n\nOur focus is primarily on the exchange of concessions on protection and subsidies that is\n\n\ncentral to the negotiations. As a Development Round, the Doha Agenda also includes elements\n\n\nsuch\n\nMention: \"Anderson (2009) study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Anderson study supplies data on agricultural protection for trade-policy analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005463:35:2", "occurrence_id": "879caa07893d3f3488809d46", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .html](http://info.worldbank.org/governance/wgi/index.asp)~~ <u>></u>\n~~<u>[World Bank (2012). “World Development Indicators.”](http://richleebruce.com/economics/1st-world.html)</u>~~ <u>Available at:</u>\n< ~~<u>[http://data.worldbank.org/data-catalog/world-deve](http://richleebruce.com/economics/1st-world.html)</u>~~ <u>lopment-indicators ></u>\n###### **Appendix A: Description and Details of the Dependent, Independent and Control Variables**\n\n\n\n_Descriptive Statistics of All Variables (High-Income OECD Only)_\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Dependent Variables & Controls|Col2|Col3|Col4|Col5|Col6|Col7|\n|---|---|---|---|---|---|---|\n|**Variable**<br>|<br>**Observation**|<br>**Mean**|<br>**Std. Dev**|<br>**Min**|**Max**|**Variable Type**<br>|\n|<br>Corruption<br>Perceptions Index<br>|<br>23|<br>2.16|<br>1.57|<br>0.26|<br>5.77|<br>Interval/Ordinal<br>|\n|<br>Control\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"World Development Indicators is listed as a source in the variable-description appendix; this excerpt does not specify a particular use.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "729c5101a2a4ab625db0573d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"the Logistics\nPerformance Index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"LPI scores used as one of the bilateral country-pair measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "f843e1466c1f4ec9f78e2697", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"ACI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"ACI index listed as a source variable in the bilateral-data table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "c7d307e40664c9e323767ccb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII source for the colonial-relationship country-pair indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "555c024fe2a0bda6d7e7dee1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII source for the common-border country-pair indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "22e44859fe4c3b7174a0e42e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII source for common-colonizer country-pair controls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "1fc18948dc0916afacc056ac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Repeated CEPII source for common-colonizer country-pair controls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "8f6d21626ec23f9fd888a6b9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII source for common-ethnolinguistic-language country-pair controls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "7951fcde3ec2d7ee9a91d01c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Repeated CEPII source for common-ethnolinguistic-language country-pair controls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "e84d4becb5793c2510c463d9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII source for common-official-language country-pair controls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "189e6bd0c409e5d9f7c52628", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII source for geographic-distance measures between principal cities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "8aa75fb99fd87594443061dc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Repeated CEPII source for country-pair geographic-distance measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "308529b9317fdd7d8b303818", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII source for the landlocked-country pair indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "b85fdc41f43566fb53089144", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"World Development\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Development Indicators provide exchange-rate data for the bilateral country-pair variable.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "835f9be296b0b075010b5b76", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"Doing Business\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Doing Business source provides country-level entry-cost values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "6bf1bf25d4e8d7e82304c923", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"TRAINS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"TRAINS source provides effectively applied tariff data for bilateral exports.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005467:27:0", "occurrence_id": "9c4c662dd6853116e58442dc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 5: Data and sources**\n\n\n\nACI\n\n\n\nIndex. 2007 World Bank\n\n\n\nColony\n\n\n\nDummy variable equal to unity if countries i and j were ever in a\ncolonial relationship. na CEPII\n\n\n\nDummy variable equal to unity if countries i and j share a common land\n\nCommon Border border. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\n\n\nCommon Border\n\n\n\nCommon Dummy variable equal to unity if countries i and j were colonized by the\nColonizer same power. na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\n\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Ethno.) language (ethnographic basis). na CEPII\n\nCommon Dummy variable equal to unity if countries i and j share a common\nLanguage (Official) official language. na CEPII\n\n\n\nDistance\n\n\nEntry Costs\n\n\nExchange Rate\n\n\n\nDummy variable equal to unity if countries i and j share a common\nofficial language. na CEPII\n\nGreat circle distance between the two principal cities of countries i and\nj. na CEPII\n\n\n\nGeometric average of the average official USD exchange rate of country World Development\ni and country j (LCU per USD). 2005 Indicators\n\n\n\nGeometric average of the cost of starting a business in country i and\ncountry j. 2005 Doing Business\n\n\n\nLandlocked Dummy variable equal to unity if countries i and j are both landlocked. na CEPII\n\n\n\nLPI\n\n\nLSCI\n\n\nRTA\n\n\nSame Country\n\n\nTariff\n\n\n\nGeometric average of country i's and j's scores on the Logistics\nPerformance Index. 2007 World Bank\n\n\n\nGeometric average of unity plus the trade-weighted average effectively\napplied tariff applied to i to j's exports and by j to i's exports. 2005 TRAINS\n\n\n\nGeometric average of country i's and j's scores on the Liner Shipping\nConnectivity Index. 2005 UNCTAD\n\nMention: \"UNCTAD\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNCTAD source for the Liner Shipping Connectivity Index values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005473:5:0", "occurrence_id": "c25038f9991dbfc6aa7fb225", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: prove to be of paramount importance in explaining Africa’s disadvantage relative to similar\n\n\nincome countries. Party monopoly also plays an important role.  The longer a single political\n\n\nparty remains in power, the lower are firm productivity and sales growth rates. In contrast, many\n\n\nelements thought to be important for explaining African performance are found to matter less:\n\n\ngeography, crime, domestic and international competition do not matter as much.\n\n\nThis paper also adds to the literature on the effects of the (broadly-defined) business\n\n\nenvironment. We obtain several novel findings. First, modern telecommunications development\n\n\nis of critical importance. Second, even relative to formal finance, trade credit plays an especially\n\n\nimportant role in developing countries. Third, political monopoly is negatively associated with\n\n\nproductivity growth rates and firm expansion.  Finally, different policies have distinct\n\n\nimplications for structural change. Telecom development, for instance, is structure-neutral: it\n\n\nhelps manufacturing and services about equally and facilitates both low- and high-tech\n\n\nmanufacturing. In contrast, development of banking helps services more than manufacturing,\n\n\nand corruptions hurts services more than manufacturing. Some tariff protection helps high tech\n\n\nmanufacturing but not low-tech manufacturing.  Party monopoly hurts manufacturing much\n\n\nmore than services.\n\n\nIn each of the survey countries of the World Bank Enterprise Survey (WBES) included in\n\n\nthis paper, firms of all sizes and ownership are covered for both manufacturing and services.\n\n\nThe survey questions are broad, including detailed quantitative measures which allow us to infer\n\n\nfirm performance such as labor productivity levels and growth rates, TFP, sales growth,\n\n\ninvestment rates and export intensity. Moreover, the survey asks detailed questions, both\n\n\nsubjective and objective, on the political, institutional, and business environment that a firm\n\n\nfaces, such as infrastructure issues, regulatory burdens, corruption, crime, and access to finance.\n\n\n4\n\nMention: \"World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Enterprise-survey measures support analysis of firm productivity, sales, labor productivity, and business-environment constraints.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005478:9:0", "occurrence_id": "52fe1c5f142f855f098e6b32", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 2: SSEPS Timeline**\n\n\n\n\n\n\n\n**Project Component** **Duration**\nProject Planning/ Equipment Procurement 5 months\n\nPilot\n\n\nHouseholds targeted for the SSEPS consisted of those that had been surveyed in round 4 of the\n\nHousehold Budget Survey (HBS), which were a representative sample drawn from the ten state capitals.\n\nThese households were drawn from 10 enumeration areas in each of the state capitals, with 12\n\nhouseholds per enumeration area for a total of approximately 1200 households. Of these households,\n\n1007 were located and agreed to participate in the SSEPS. Given that the bulk of South Sudan’s urban\n\npopulation lives in the state capitals, results from the SSEPS are broadly representative of the conditions\n\nin urban areas. Selection of the individual respondent within each household to receive the mobile phone\n\nand answer calls was performed during an initial household visit made by enumerators from NBS.\n\n\nTo assess the effect of incentives on participation, sampled enumeration areas were randomly assigned\n\nto two incentive groups: one receiving pre-paid credit of 5 Sudanese Pounds (SDG)—approximately\n\nUS$2.17—for each call leading to a completed survey and another receiving pre-paid credit of 10 SDG\n\n(US$4.35) for each call leading to a completed survey. <sup>4</sup> [^4: US Dollar equivalent figures are based on annual exchange rate average for of 2.3 SDG per USD for 2010.] This credit was transferred on a weekly basis:\n\nthe call center would send a list of participants that had completed the survey in the previous week to\n\npartners at the mobile phone operator (Zain), which would then transfer the credit to households. In the\n\nmonth of December, some of the transferred credits were delayed by two weeks as the purchased credit\n\nhad not been activated. In addition, enumeration areas were randomly assigned to receive either a basic\n\nNokia phone or a Safaricom solar-rechargeable phone. Given these combinations, four groups defined\n\nby phone type and incentive amount were formed: (\n\nMention: \"Household Budget Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Round-four household survey supplied the representative household frame for the SSEPS.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005528:6:0", "occurrence_id": "8da6f4416630cf9e3b00e260", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the ‘informal economy’ focuses on the nature of employment in addition to the characteristics of\nenterprises.” (Chen 2006, p. 76).\n\n\n**2.2** **Measurement and Trends**\n\n\nWith so many different conceptualizations of informality and formality, it is perhaps not surprising\nthat getting nationally comparable estimates of informality is fraught with difficulties. Even if the basic\nconcept is agreed--for example, registered enterprises--the detailed specification may vary across countries,\nsince the requirement for registration will vary. Estimates produced by national authorities may differ from\nthose produced by international agencies because of differing definitions and data sources.\n\n\nDespite concerns about data and definitions, there is an agreement that the informal sector is large\nin most developing countries, and it is the overwhelming employer of labor in the non-agricultural sector.\nFor developing countries as a group, more than half of all jobs—over 900 million workers—are in the\ninformal sector (Jutting and de Laglesia, 2009). The sector is large not just in terms of employment, but also\nby the number of enterprises. Many more new establishments are created in the informal sector than in the\nformal sector.\n\n\nFigure 1 plots the share of informal employment in total non-agricultural employment for 50\ndeveloping countries against their per capita income, using data from ILO KLIM, OECD, and World\nDevelopment Indicators. For these 50 developing countries as a group, nearly half of the total nonagricultural jobs is generated in the informal sector. In India, it is much higher, at more than 80 percent of\ntotal non-agricultural jobs generated in the informal sector. It is also high in Sub Saharan Africa. The share of\nthe informal sector is slightly lower in Latin America, with Brazil at 42% and Mexico at more than 50%. As a\nregion, the lowest share of informal employment is in the Central & South-Eastern Europe, with the share of\ninformal employment in Poland\n\nMention: \"ILO KLIM\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Labor-market indicators used to calculate informal-employment shares across developing countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005528:6:0", "occurrence_id": "50971b0243a137d78b18e5da", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the ‘informal economy’ focuses on the nature of employment in addition to the characteristics of\nenterprises.” (Chen 2006, p. 76).\n\n\n**2.2** **Measurement and Trends**\n\n\nWith so many different conceptualizations of informality and formality, it is perhaps not surprising\nthat getting nationally comparable estimates of informality is fraught with difficulties. Even if the basic\nconcept is agreed--for example, registered enterprises--the detailed specification may vary across countries,\nsince the requirement for registration will vary. Estimates produced by national authorities may differ from\nthose produced by international agencies because of differing definitions and data sources.\n\n\nDespite concerns about data and definitions, there is an agreement that the informal sector is large\nin most developing countries, and it is the overwhelming employer of labor in the non-agricultural sector.\nFor developing countries as a group, more than half of all jobs—over 900 million workers—are in the\ninformal sector (Jutting and de Laglesia, 2009). The sector is large not just in terms of employment, but also\nby the number of enterprises. Many more new establishments are created in the informal sector than in the\nformal sector.\n\n\nFigure 1 plots the share of informal employment in total non-agricultural employment for 50\ndeveloping countries against their per capita income, using data from ILO KLIM, OECD, and World\nDevelopment Indicators. For these 50 developing countries as a group, nearly half of the total nonagricultural jobs is generated in the informal sector. In India, it is much higher, at more than 80 percent of\ntotal non-agricultural jobs generated in the informal sector. It is also high in Sub Saharan Africa. The share of\nthe informal sector is slightly lower in Latin America, with Brazil at 42% and Mexico at more than 50%. As a\nregion, the lowest share of informal employment is in the Central & South-Eastern Europe, with the share of\ninformal employment in Poland\n\nMention: \"World\nDevelopment Indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Development Indicators data contribute to informal-employment shares plotted against per-capita income.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005528:6:0", "occurrence_id": "04962f8e28c4e69a303bb4ca", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the ‘informal economy’ focuses on the nature of employment in addition to the characteristics of\nenterprises.” (Chen 2006, p. 76).\n\n\n**2.2** **Measurement and Trends**\n\n\nWith so many different conceptualizations of informality and formality, it is perhaps not surprising\nthat getting nationally comparable estimates of informality is fraught with difficulties. Even if the basic\nconcept is agreed--for example, registered enterprises--the detailed specification may vary across countries,\nsince the requirement for registration will vary. Estimates produced by national authorities may differ from\nthose produced by international agencies because of differing definitions and data sources.\n\n\nDespite concerns about data and definitions, there is an agreement that the informal sector is large\nin most developing countries, and it is the overwhelming employer of labor in the non-agricultural sector.\nFor developing countries as a group, more than half of all jobs—over 900 million workers—are in the\ninformal sector (Jutting and de Laglesia, 2009). The sector is large not just in terms of employment, but also\nby the number of enterprises. Many more new establishments are created in the informal sector than in the\nformal sector.\n\n\nFigure 1 plots the share of informal employment in total non-agricultural employment for 50\ndeveloping countries against their per capita income, using data from ILO KLIM, OECD, and World\nDevelopment Indicators. For these 50 developing countries as a group, nearly half of the total nonagricultural jobs is generated in the informal sector. In India, it is much higher, at more than 80 percent of\ntotal non-agricultural jobs generated in the informal sector. It is also high in Sub Saharan Africa. The share of\nthe informal sector is slightly lower in Latin America, with Brazil at 42% and Mexico at more than 50%. As a\nregion, the lowest share of informal employment is in the Central & South-Eastern Europe, with the share of\ninformal employment in Poland\n\nMention: \"OECD\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"OECD data contribute to informal-employment shares plotted against per-capita income.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005514:17:1", "occurrence_id": "3c1ffd523bc261f24d6ca051", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |\n|Marriage and life satisfaction|<br>-.2<br>0<br>.2<br>.4<br>.6<br>HRV<br>HUN<br>ITA<br>SVK<br>GEO<br>GBR<br>RUS<br>ALB<br>MDA<br>AZE<br>MNE<br>LVA<br>SRB<br>CZE<br>POL<br>DEU<br>SWE<br>BGR<br>UKR<br>FRA<br>KGZ<br>BIH<br>KSV<br>KAZ<br>ROU<br>BLR<br>TJK<br>ARM<br>LTU<br>MNG<br>UZB<br>EST<br>SVN<br>MKD<br>TUR<br>Source: LiTS II, 2010.<br>Dep. var.: 5-step satisfaction scale<br>Regression estimate: Married<br>95% CI: lower bound<br>Point estimate<br>95% CI: uppwer bound|<br>-.5<br>0<br>.5<br>1<br>1.5<br>GBR<br>ITA<br>HUN<br>HRV<br>POL<br>FRA<br>RUS<br>DEU<br>SWE<br>TJK<br>SVK<br>SRB<br>LVA<br>UKR<br>CZE<br>ROU<br>UZB<br>MNE<br>MNG<br>LTU<br>AZE<br>MKD<\n\nMention: \"LiTS II, 2010\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey data used to estimate cross-country relationships between marriage and life satisfaction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005556:37:0", "occurrence_id": "ed7e2d7bb48a3563a3b19f74", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 6. Distribution of Household Assets, Debt, and Net Worth by Microcredit**\n\n**Participation Status for Three Survey Years**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n_Sources_ : World Bank–BIDS surveys, 1991/92 and 1998/99; World Bank–InM survey, 2010/11.\nNote: The analysis is restricted to 1991/92 microcredit-eligible households (i.e., those who participated and those who were eligible but\ndid not participate in microcredit programs in 1991/92), which constitute 64, 62, and 61 percent of the surveyed households in 1991/92,\n1998/99, and 2010/11, respectively. Monetary figures are CPI-adjusted Tk. with 1991/92 = 100.\n\n\n36\n\nMention: \"BIDS surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"BIDS household surveys provide asset, debt, and net-worth comparisons by microcredit participation across two rounds.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005556:37:0", "occurrence_id": "bd8f09b7e2c8b5eda3f1da19", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 6. Distribution of Household Assets, Debt, and Net Worth by Microcredit**\n\n**Participation Status for Three Survey Years**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n_Sources_ : World Bank–BIDS surveys, 1991/92 and 1998/99; World Bank–InM survey, 2010/11.\nNote: The analysis is restricted to 1991/92 microcredit-eligible households (i.e., those who participated and those who were eligible but\ndid not participate in microcredit programs in 1991/92), which constitute 64, 62, and 61 percent of the surveyed households in 1991/92,\n1998/99, and 2010/11, respectively. Monetary figures are CPI-adjusted Tk. with 1991/92 = 100.\n\n\n36\n\nMention: \"InM survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"InM household survey supplies the 2010/11 comparison round for assets, debt, and net worth by microcredit status.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005567:9:0", "occurrence_id": "85113a6d8adab5e9706737b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: The rest of the paper is organized as follows. Section 2 presents the Global Findex data\n\n\nand some descriptive statistics on the differential use of financial services by gender across\n\n\nincome groups and regions across the globe. Section 3 describes the additional data used in the\n\n\nregression analysis, including our data on legal discrimination against women and gender norms.\n\n\nSection 4 discusses the regression methodology used in the paper and section 5 presents the\n\n\nresults. Section 6 concludes.\n\n\n**2.** **Measuring Financial Inclusion**\n\n**_2.1_** **_Global Findex Data_**\n\nOur data on the use of financial services come from the 2011 Global Findex database. <sup>5</sup>\n\n\nThe Global Findex data was collected in conjunction with the annual Gallup World Poll Survey.\n\n\nThe 2011 Gallup World Poll surveyed at least 1,000 individuals in 148 economies, using\n\n\nrandomly selected, nationally representative samples. <sup>6</sup> [^6: The complete individual-level database, as well as detailed country-level information about the data collection\n[dates, sample sizes, excluded populations and margins of error can be found at: www.worldbank.org/globalfindex](http://www.worldbank.org/globalfindex) **.**] The target population is the entire\n\n\ncivilian, non-institutionalized population, age 15 and older. In our descriptive analyses, we focus\n\n\non 140 countries <sup>7</sup> [^7: We drop seven countries from our sample because more than 20% of the population is not sampled in these\neconomies and we exclude Iran because of irregular surveying methods.] (see Appendix A for the list of countries in the sample).\n\n\nThe Global Findex dataset includes 41 indicators on the use of financial services around\n\n\nthe world. In this paper, we focus on three main dimensions of financial inclusion: (1) ownership\n\n\n- individual or joint – of an account at a formal financial institution; (2) savings in\n\nMention: \"Global Findex data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Global Findex indicators describe gendered differences in financial-service use across income groups and regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005567:9:0", "occurrence_id": "42b7938a33e4e3560e26c8ff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: The rest of the paper is organized as follows. Section 2 presents the Global Findex data\n\n\nand some descriptive statistics on the differential use of financial services by gender across\n\n\nincome groups and regions across the globe. Section 3 describes the additional data used in the\n\n\nregression analysis, including our data on legal discrimination against women and gender norms.\n\n\nSection 4 discusses the regression methodology used in the paper and section 5 presents the\n\n\nresults. Section 6 concludes.\n\n\n**2.** **Measuring Financial Inclusion**\n\n**_2.1_** **_Global Findex Data_**\n\nOur data on the use of financial services come from the 2011 Global Findex database. <sup>5</sup>\n\n\nThe Global Findex data was collected in conjunction with the annual Gallup World Poll Survey.\n\n\nThe 2011 Gallup World Poll surveyed at least 1,000 individuals in 148 economies, using\n\n\nrandomly selected, nationally representative samples. <sup>6</sup> [^6: The complete individual-level database, as well as detailed country-level information about the data collection\n[dates, sample sizes, excluded populations and margins of error can be found at: www.worldbank.org/globalfindex](http://www.worldbank.org/globalfindex) **.**] The target population is the entire\n\n\ncivilian, non-institutionalized population, age 15 and older. In our descriptive analyses, we focus\n\n\non 140 countries <sup>7</sup> [^7: We drop seven countries from our sample because more than 20% of the population is not sampled in these\neconomies and we exclude Iran because of irregular surveying methods.] (see Appendix A for the list of countries in the sample).\n\n\nThe Global Findex dataset includes 41 indicators on the use of financial services around\n\n\nthe world. In this paper, we focus on three main dimensions of financial inclusion: (1) ownership\n\n\n- individual or joint – of an account at a formal financial institution; (2) savings in\n\nMention: \"Gallup World Poll Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Gallup World Poll interviews provide the individual survey data underlying Global Findex.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005632:10:1", "occurrence_id": "aed1f3a76e34374f0e4fdc88", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  cumulative\n\ncausation were initially at work as some villages industrialized and some became\n\nmigration villages. Wage income contributed 21 percent of rural income inequality\n\n\n\ncausation were initially at work as some villages industrialized and some became\n\nmigration villages. Wage income contributed 21 percent of rural income inequality\n\nin 1988, 40 percent in 1995, and 41 percent in 2007. <sup>3</sup> The slowdown was due to the\n\n\n\nmigration villages. Wage income contributed 21 percent of rural income inequality\n\nin 1988, 40 percent in 1995, and 41 percent in 2007. <sup>3</sup> The slowdown was due to the\n\nreduction in rural spatial income inequality as wage employment opportunities\n\n\n\nin 1988, 40 percent in 1995, and 41 percent in 2007. <sup>3</sup> The slowdown was due to the\n\nreduction in rural spatial income inequality as wage employment opportunities\n\nspread more widely across provinces and counties. In principle, migration can\n\n\n\nreduction in rural spatial income inequality as wage employment opportunities\n\nspread more widely across provinces and counties. In principle, migration can\n\neither increase or decrease inequality depending on whether poor households,\n\n\n\nspread more widely across provinces and counties. In principle, migration can\n\neither increase or decrease inequality depending on whether poor households,\n\nwhich have the greatest incentive to send migrants, have the ability to do so. An\n\n\n\neither increase or decrease inequality depending on whether poor households,\n\nwhich have the greatest incentive to send migrants, have the ability to do so. An\n\nanalysis of the effect of migrant members on the income of rural households using\n\n\n\nwhich have the greatest incentive to send migrants, have the ability to do so. An\n\nanalysis of the effect of migrant members on the income of rural households using\n\nthe 2007 CHIP survey showed that it reduced rural poverty and, by implication,\n\n\n\nanalysis of the effect of migrant members on the income of rural households using\n\nthe 2007 CHIP survey showed that it reduced rural poverty and, by implication,\n\ninequality (Luo and Yue 2010)\n\nMention: \"2007 CHIP survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Survey evidence on migrant members’ effects on rural household income, poverty, and inequality.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005586:18:1", "occurrence_id": "6be547573adf9c1092b94b45", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  that were in the follow-up survey and\n\nask them for their CNPJ and ALF numbers and registration dates. <sup>11</sup> Both these checks revealed the\n\nmatching process to be accurate at matching firms which had formalized – it was only a handful of cases\n\nwhere individuals had registered at different addresses that we had not detected.\n\n\n**5. Results**\n\nWe begin by discussing implementation of the different interventions, and use our survey data\n\nto examine whether this resulted in changes in knowledge or in inspection frequencies. We then\n\nexamine whether these interventions changed the rate of business closure, and then ultimately, the\n\nimpact on different aspects of formalization. To estimate treatment effects, we estimate versions of\n\nequations (2) and (3) for different outcomes. Since baseline data are not available for the inspector\n\n\n11 The survey firm was only able to re-contact 1166 firms in doing this check (after accidentally inserting a skip\npattern which skipped asking the ALF and CNPJ numbers for most firms in the full follow-up survey), and so given\nthis large attrition rate we do not use these data for measuring the formalization outcome, but instead rely on\nadministrative records, only using these data as a cross-check to ensure our administrative matching procedure is\nreliable.\n\n\n17\n\nMention: \"administrative records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Administrative records supply the formalization outcome; survey checks are used only to verify record matching.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005586:18:1", "occurrence_id": "6ce6164a30ecdf1e7cd487f5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  that were in the follow-up survey and\n\nask them for their CNPJ and ALF numbers and registration dates. <sup>11</sup> Both these checks revealed the\n\nmatching process to be accurate at matching firms which had formalized – it was only a handful of cases\n\nwhere individuals had registered at different addresses that we had not detected.\n\n\n**5. Results**\n\nWe begin by discussing implementation of the different interventions, and use our survey data\n\nto examine whether this resulted in changes in knowledge or in inspection frequencies. We then\n\nexamine whether these interventions changed the rate of business closure, and then ultimately, the\n\nimpact on different aspects of formalization. To estimate treatment effects, we estimate versions of\n\nequations (2) and (3) for different outcomes. Since baseline data are not available for the inspector\n\n\n11 The survey firm was only able to re-contact 1166 firms in doing this check (after accidentally inserting a skip\npattern which skipped asking the ALF and CNPJ numbers for most firms in the full follow-up survey), and so given\nthis large attrition rate we do not use these data for measuring the formalization outcome, but instead rely on\nadministrative records, only using these data as a cross-check to ensure our administrative matching procedure is\nreliable.\n\n\n17\n\nMention: \"follow-up survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Follow-up survey responses are used only to cross-check the administrative matching procedure, not to measure formalization outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005639:27:16", "occurrence_id": "101c637ea03aaecc90c8d050", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>1.4|5.3|1.0<br>0.1|||1.2<br>0.6||1.2<br>0.1||||\n||5.1|4.9|||||||3.4|3.7|3.7|3.7|3.7|3.7|3.7|3.7|\n\n\ng1\n0-5\nG\nR\n\n\n\ng5\n\n6\nG\nR\n\n\n\n\n\n\n\n\n\n\n\ng10\n\n7-9\nG\nU\n\n\n\n\n\n\n\ng8\n\n6\nS-M\n\nU\n\n\n\n\n\ng12\n\n7-9\nS-M\n\nU\n\n\n\ng2\n0-5\nG\nU\n\n\n\ng3\n0-5\nS-M\n\nR\n\n\n\ng9\n7-9\nG\nR\n\n\n\ng7\n\n6\nS-M\n\nR\n\n\n\ng11\n\n7-9\nS-M\n\nR\n\n\n\ng6\n\n6\nG\nU\n\n\n\ng13\n10+\nG\nR\n\n\n\ng4\n0-5\nS-M\n\nU\n\n\n\ng15\n10+\nS-M\n\nR\n\n\n\ng14\n10+\nG\nU\n\n\n\ng16\n10+\nS-M\n\nU\n\n\n\nPopulation (age 0-17 ill only) Public Expenditure\n\n\n_Source_ : Author’s estimates from INEC’s EPH (2009); MSPyBS (2010); IPS (2011).\n_Notes_ : Groups sorted by average probability of accessing public health services. Household head’s education (highest level attended): “0–5” less\nthan 6 <sup>th</sup> grade; “6” completed primary (2 <sup>nd</sup> cycle); “7–9” (attended 3 <sup>rd</sup> cycle of elemental); “10+” attended high school or higher. Main language\nspoken by household head: “G” Guarani; “S-M” Spanish or both. Area of residence: “R” rural; “U”\n\nMention: \"INEC’s EPH\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EPH survey data contribute to authors’ estimates of household health-service access and public-expenditure patterns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005639:27:16", "occurrence_id": "fdc521bb2108e39f885cdc1d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>1.4|5.3|1.0<br>0.1|||1.2<br>0.6||1.2<br>0.1||||\n||5.1|4.9|||||||3.4|3.7|3.7|3.7|3.7|3.7|3.7|3.7|\n\n\ng1\n0-5\nG\nR\n\n\n\ng5\n\n6\nG\nR\n\n\n\n\n\n\n\n\n\n\n\ng10\n\n7-9\nG\nU\n\n\n\n\n\n\n\ng8\n\n6\nS-M\n\nU\n\n\n\n\n\ng12\n\n7-9\nS-M\n\nU\n\n\n\ng2\n0-5\nG\nU\n\n\n\ng3\n0-5\nS-M\n\nR\n\n\n\ng9\n7-9\nG\nR\n\n\n\ng7\n\n6\nS-M\n\nR\n\n\n\ng11\n\n7-9\nS-M\n\nR\n\n\n\ng6\n\n6\nG\nU\n\n\n\ng13\n10+\nG\nR\n\n\n\ng4\n0-5\nS-M\n\nU\n\n\n\ng15\n10+\nS-M\n\nR\n\n\n\ng14\n10+\nG\nU\n\n\n\ng16\n10+\nS-M\n\nU\n\n\n\nPopulation (age 0-17 ill only) Public Expenditure\n\n\n_Source_ : Author’s estimates from INEC’s EPH (2009); MSPyBS (2010); IPS (2011).\n_Notes_ : Groups sorted by average probability of accessing public health services. Household head’s education (highest level attended): “0–5” less\nthan 6 <sup>th</sup> grade; “6” completed primary (2 <sup>nd</sup> cycle); “7–9” (attended 3 <sup>rd</sup> cycle of elemental); “10+” attended high school or higher. Main language\nspoken by household head: “G” Guarani; “S-M” Spanish or both. Area of residence: “R” rural; “U”\n\nMention: \"MSPyBS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"MSPyBS data contribute to estimates of public-health service access and expenditure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005639:27:16", "occurrence_id": "4259493097f89724ccf18dea", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>1.4|5.3|1.0<br>0.1|||1.2<br>0.6||1.2<br>0.1||||\n||5.1|4.9|||||||3.4|3.7|3.7|3.7|3.7|3.7|3.7|3.7|\n\n\ng1\n0-5\nG\nR\n\n\n\ng5\n\n6\nG\nR\n\n\n\n\n\n\n\n\n\n\n\ng10\n\n7-9\nG\nU\n\n\n\n\n\n\n\ng8\n\n6\nS-M\n\nU\n\n\n\n\n\ng12\n\n7-9\nS-M\n\nU\n\n\n\ng2\n0-5\nG\nU\n\n\n\ng3\n0-5\nS-M\n\nR\n\n\n\ng9\n7-9\nG\nR\n\n\n\ng7\n\n6\nS-M\n\nR\n\n\n\ng11\n\n7-9\nS-M\n\nR\n\n\n\ng6\n\n6\nG\nU\n\n\n\ng13\n10+\nG\nR\n\n\n\ng4\n0-5\nS-M\n\nU\n\n\n\ng15\n10+\nS-M\n\nR\n\n\n\ng14\n10+\nG\nU\n\n\n\ng16\n10+\nS-M\n\nU\n\n\n\nPopulation (age 0-17 ill only) Public Expenditure\n\n\n_Source_ : Author’s estimates from INEC’s EPH (2009); MSPyBS (2010); IPS (2011).\n_Notes_ : Groups sorted by average probability of accessing public health services. Household head’s education (highest level attended): “0–5” less\nthan 6 <sup>th</sup> grade; “6” completed primary (2 <sup>nd</sup> cycle); “7–9” (attended 3 <sup>rd</sup> cycle of elemental); “10+” attended high school or higher. Main language\nspoken by household head: “G” Guarani; “S-M” Spanish or both. Area of residence: “R” rural; “U”\n\nMention: \"IPS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IPS data contribute to estimates of public-health service access and expenditure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005668:13:1", "occurrence_id": "a54532ff3222e5c47be4d8fc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  were carried out by the Bangladesh Bureau of Statistics with assis\n\ntance from the World Bank. Both surveys utilized a two-stage strati…ed sampling strategy to\n\n\nselect a nationally representative sample. There were 14 strata in 2000 survey and 16 in 2010\n\n\nsurvey. The total sample sizes are 7,440 households from 442 primary sampling units (psus) in\n\n\nlead to more spatial concentration followed by regional convergence at even lower level of transport costs.\n\n3 The HIES was done for 2005 also. The results based on 2005 data are very similar to those using 2010 data.\nWe omitted analysis for 2005 round of HIES for brevity.\n\n\n11\n\nMention: \"HIES\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household Income and Expenditure Survey data supply nationally representative household observations for the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005744:17:0", "occurrence_id": "c3d9535ede6e3dd3627248ee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **<u>Table 3.1</u>** **<u>Import Substitution Policy Timeline</u>**\n**<u>Date</u>** **<u>Policy actions and Authorities’ declarations</u>**\n\n<u>December</u> <u>Resolution 220/2003-SICPME initiated the system on import licensing for</u>\n23, 2003 bicycles. This event was more or less the commencement of Argentina’s\nnew protectionism. The resolution also created the administrative\nprocedures for enforcing the restrictions.\n_Source:_ InfoLEG database website at\nhttp://infoleg.mecon.gov.ar/infolegInternet/anexos/9000094999/91398/norma.htm.\nAugust <mark>Argentina limits entry points for certain goods. By virtue of General</mark>\n11, 2005 <mark>Resolution 1924 of August 11, 2005, and with the purpose of</mark>\n<mark>strengthening customs controls, the Federal Public Revenue</mark>\n<mark>Administration limited the points of entry for certain categories of goods,</mark>\n<mark>including textiles, shoes and toys.</mark>\n<mark>On January 29, 2010, the General Customs Division passed new</mark>\n<mark>legislation, adding several new tariff positions to the regime. (Only tariff</mark>\n<mark>positions added in this new legislation have been included in this reported</mark>\n<mark>measure.)</mark>\n_<mark>Source:</mark>_ <mark>Global Trade Alert 2010b.</mark>\nAugust President Cristina Fernández de Kirchner and Minister of Economy\n17, 2007 Miguel Peirano announced measures to restrict imports, especially those\nfrom East Asia. The restrictions covered textiles,\n\nMention: \"InfoLEG database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Legal database provides the cited import-licensing resolution for the policy timeline.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005744:17:0", "occurrence_id": "2a87f4ed8bbec1fbd5a509e5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **<u>Table 3.1</u>** **<u>Import Substitution Policy Timeline</u>**\n**<u>Date</u>** **<u>Policy actions and Authorities’ declarations</u>**\n\n<u>December</u> <u>Resolution 220/2003-SICPME initiated the system on import licensing for</u>\n23, 2003 bicycles. This event was more or less the commencement of Argentina’s\nnew protectionism. The resolution also created the administrative\nprocedures for enforcing the restrictions.\n_Source:_ InfoLEG database website at\nhttp://infoleg.mecon.gov.ar/infolegInternet/anexos/9000094999/91398/norma.htm.\nAugust <mark>Argentina limits entry points for certain goods. By virtue of General</mark>\n11, 2005 <mark>Resolution 1924 of August 11, 2005, and with the purpose of</mark>\n<mark>strengthening customs controls, the Federal Public Revenue</mark>\n<mark>Administration limited the points of entry for certain categories of goods,</mark>\n<mark>including textiles, shoes and toys.</mark>\n<mark>On January 29, 2010, the General Customs Division passed new</mark>\n<mark>legislation, adding several new tariff positions to the regime. (Only tariff</mark>\n<mark>positions added in this new legislation have been included in this reported</mark>\n<mark>measure.)</mark>\n_<mark>Source:</mark>_ <mark>Global Trade Alert 2010b.</mark>\nAugust President Cristina Fernández de Kirchner and Minister of Economy\n17, 2007 Miguel Peirano announced measures to restrict imports, especially those\nfrom East Asia. The restrictions covered textiles,\n\nMention: \"Global Trade Alert 2010b\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Global Trade Alert entry sources the reported 2005 import-point restrictions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005723:15:0", "occurrence_id": "1817c72817d76a1b5b5d5eba", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Armenia 10.7 42.9% 52.3% 9.4 95.7% 18.1%\nKyrgyz* 4.6 21.7% 51.4% 4.6 21.7% 52.2%\nGeorgia 7.6 59.2% 60.1% 6.4 -29.7% 131.2%\n<u>Moldova*</u> <u>5.1</u> <u>105.1%</u> <u>11.1%</u> <u>2.2</u> <u>190.1%</u> <u>-54.5%</u>\n**Comparators**\n**(world)**\n\nChina 11.5 38.2% 59.2% 7.8 20.5% 71.8%\n<u>US</u> <u>1.4</u> <u>-28.2%</u> <u>83.1%</u> <u>0.9</u> <u>27.2%</u> <u>45.5%</u>\nSource: Conference Board, Total Economy Database (January 2012)\nNote: (*) denotes low-income country.\n\n\n\nAt the break-up of the Soviet Union, fixed\n\ncapital formation in Eurasia was more than twice\n\nthat in EAP12. By 2010, it had fallen to 21 percent\n\nof GDP, which is well below the level observed in\n\nEAP12 (35 percent of GDP). Eurasia fares better\n\nwhen changes in inventories are included (Figure\n\n5). We find that gross domestic investment has\n\nbeen trending upward over the last decade,\n\nreaching levels that are comparable to the 25\n\npercent of GDP or more experienced in the fast\ngrowing Asian economies (Commission\n\nMention: \"Conference Board, Total Economy Database (January 2012)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Total Economy Database figures provide cross-country economic measures for the investment comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005755:26:0", "occurrence_id": "0f28dca715d562da89957639", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: forecasts using ARIMA or VAR methods overcomes this problem, but raises questions about the validity\n\nof the forecasts. In this paper, forecasts for GDP up to 2015 are provided by Convergence Reports for the\n\n10 European Union countries and IMF WEO projections for non EU countries. We use these estimates,\n\n\nThe choice of lambda in estimating the trend output is important. The lower the value, the more\n\nis the variability of the cyclical component underestimated, and that of the trend output level (or potential\n\noutput) overestimated. For example, with a value of zero, actual and trend outputs would be the same.\n\nHowever, the larger is lambda, the more likely it is that the variability of the cyclical component is\n\noverestimated and the trend component underestimated. For quarterly data, Hodrick and Prescott\n\nrecommend a value of 1600 in their original work. For annual data values from 100-400 have been\n\ncommonly used, though more recent work uses a value of 6 to 8 for annual data. <sup>25</sup> While an ideal value of\n\nlambda is hard to determine, a value of 30 is used in this paper. Too low a value of lambda would\n\nintroduce more variability in the trend and to a certain degree, defeat the purpose of evaluating the fiscal\n\npolicy stance net of short term booms and busts. It would lead to an overly positive assessment of fiscal\n\npolicy in booms. However, a large lambda also comes with disadvantages. For example, by\n\noverestimating gaps in periods of low growth, deterioration in the underlying budgetary position may go\n\nundetected. <sup>26</sup>\n\n##### Country Classification and Variable Description for CAB, VAT, and CIT Regressions\n\n\n25 Bouthevillain et al. (ECB 2001)\n26 See Bouthevillain et al. (ECB 2001); it uses a value of 30.\n\n25\n\nMention: \"Convergence Reports\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Convergence Reports supply GDP forecasts for EU countries in the fiscal projections.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005755:26:0", "occurrence_id": "b2ff24be0423e84d55eb9eac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: forecasts using ARIMA or VAR methods overcomes this problem, but raises questions about the validity\n\nof the forecasts. In this paper, forecasts for GDP up to 2015 are provided by Convergence Reports for the\n\n10 European Union countries and IMF WEO projections for non EU countries. We use these estimates,\n\n\nThe choice of lambda in estimating the trend output is important. The lower the value, the more\n\nis the variability of the cyclical component underestimated, and that of the trend output level (or potential\n\noutput) overestimated. For example, with a value of zero, actual and trend outputs would be the same.\n\nHowever, the larger is lambda, the more likely it is that the variability of the cyclical component is\n\noverestimated and the trend component underestimated. For quarterly data, Hodrick and Prescott\n\nrecommend a value of 1600 in their original work. For annual data values from 100-400 have been\n\ncommonly used, though more recent work uses a value of 6 to 8 for annual data. <sup>25</sup> While an ideal value of\n\nlambda is hard to determine, a value of 30 is used in this paper. Too low a value of lambda would\n\nintroduce more variability in the trend and to a certain degree, defeat the purpose of evaluating the fiscal\n\npolicy stance net of short term booms and busts. It would lead to an overly positive assessment of fiscal\n\npolicy in booms. However, a large lambda also comes with disadvantages. For example, by\n\noverestimating gaps in periods of low growth, deterioration in the underlying budgetary position may go\n\nundetected. <sup>26</sup>\n\n##### Country Classification and Variable Description for CAB, VAT, and CIT Regressions\n\n\n25 Bouthevillain et al. (ECB 2001)\n26 See Bouthevillain et al. (ECB 2001); it uses a value of 30.\n\n25\n\nMention: \"IMF WEO projections\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"IMF World Economic Outlook projections supply GDP forecasts for non-EU countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005778:27:0", "occurrence_id": "ab8f0cd909975824a8411247", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **References**\n\n\nAbras, A., A. Hoyos, A. Narayan, and S. Tiwari (2013) “Inequality of Opportunities in the Labor Market:\n\nEvidence from Life in Transition Surveys in Europe and Central Asia.” _IZA Journal of Labor &_\n_Development,_ 2:7.\n\nAlderman, H, J. Hoddinott and B. Kinsey (2006). “Long-term consequences of early childhood\n\nmalnutrition”. _Oxford Economic Papers_, 58(3): 450–74.\n\nAlesina, A. and D. Rodrik (1994). \"Distributive Politics and Economic Growth,\" _The Quarterly Journal_\n\n_of Economics_ . 109(2): 465-490.\n\nAzevedo, J., G. Inchauste, S. Olivieri, J. Saavedra-Chanduvi and H. Winkler (2013). “Is Labor Income\n\nResponsible for Poverty Reduction? A Decomposition Approach”. Policy Research Working Paper\n6441. The World Bank.\n\n[Banerjee, A. and E. Duflo (2003). “Inequality and Growth: What Can the Data Say?”](http://ideas.repec.org/a/kap/jecgro/v8y2003i3p267-99.html) _[Journal of](http://ideas.repec.org/s/kap/jecgro.html)_\n\n_[Economic Growth](http://ideas.repec.org/s/kap/jecgro.html)_ . 8(3):267-99\n\nBarros, R, F. Ferreira, J. Molinas Vega, and J. Saavedra-Chanduvi (2009). _Measuring Inequality of_\n\n_Opportunities in Latin American\n\nMention: \"Life in Transition Surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Bibliography citation to research on labor-market opportunity inequality using Life in Transition Surveys.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005814:5:3", "occurrence_id": "f90d5383b1207f9c38bca9ce", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Nor does it consider the impact of\nregularization policies or the renewal and redevelopment of city center settlements, which are likely to increase population\ndensity but will be accompanied by increased demand of land for resettlement in the periphery of Bamako.\n15 However, the real GDP growth rate slowed sharply in 2011 (+2.7%), resulting in a 0.3% drop in real GDP per capita\n(AfricanEconomicOutlook, 2012).\n16 According to African Development Bank (2011), the middle class, characterized by a per capita daily consumption of $4-$20\nper day, represents only 8.1% of the population of Mali.\n17 Although there is no certainty that changes in family structure and norms have contributed to an increase or a decrease in the\ndemand for land, we hypothesize that the effect of a modestly decreasing fertility rate in urban areas is likely to have been more\nthan offset by children moving out their parents’ dwelling, thus increasing the demand for land.\n18 According to the 2009 census (INSTAT, 2011), 43.4% of households in Bamako District were in rented accommodation and\n10.2% were being housed free of charge.\n\n\n4\n\nMention: \"the 2009 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census figures document rental and free-housing shares among Bamako District households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005814:5:3", "occurrence_id": "e081edc62718105c10fa4f70", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Nor does it consider the impact of\nregularization policies or the renewal and redevelopment of city center settlements, which are likely to increase population\ndensity but will be accompanied by increased demand of land for resettlement in the periphery of Bamako.\n15 However, the real GDP growth rate slowed sharply in 2011 (+2.7%), resulting in a 0.3% drop in real GDP per capita\n(AfricanEconomicOutlook, 2012).\n16 According to African Development Bank (2011), the middle class, characterized by a per capita daily consumption of $4-$20\nper day, represents only 8.1% of the population of Mali.\n17 Although there is no certainty that changes in family structure and norms have contributed to an increase or a decrease in the\ndemand for land, we hypothesize that the effect of a modestly decreasing fertility rate in urban areas is likely to have been more\nthan offset by children moving out their parents’ dwelling, thus increasing the demand for land.\n18 According to the 2009 census (INSTAT, 2011), 43.4% of households in Bamako District were in rented accommodation and\n10.2% were being housed free of charge.\n\n\n4\n\nMention: \"AfricanEconomicOutlook, 2012\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"African Economic Outlook supplies the GDP-growth and GDP-per-capita context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005814:5:3", "occurrence_id": "def9762c9a18f7c9ff722a23", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Nor does it consider the impact of\nregularization policies or the renewal and redevelopment of city center settlements, which are likely to increase population\ndensity but will be accompanied by increased demand of land for resettlement in the periphery of Bamako.\n15 However, the real GDP growth rate slowed sharply in 2011 (+2.7%), resulting in a 0.3% drop in real GDP per capita\n(AfricanEconomicOutlook, 2012).\n16 According to African Development Bank (2011), the middle class, characterized by a per capita daily consumption of $4-$20\nper day, represents only 8.1% of the population of Mali.\n17 Although there is no certainty that changes in family structure and norms have contributed to an increase or a decrease in the\ndemand for land, we hypothesize that the effect of a modestly decreasing fertility rate in urban areas is likely to have been more\nthan offset by children moving out their parents’ dwelling, thus increasing the demand for land.\n18 According to the 2009 census (INSTAT, 2011), 43.4% of households in Bamako District were in rented accommodation and\n10.2% were being housed free of charge.\n\n\n4\n\nMention: \"African Development Bank (2011)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"African Development Bank estimate describes the share of Mali’s population in the middle-consumption group.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005813:35:1", "occurrence_id": "f19edb0486bfe52879d0eb1a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .123</u> <u>0.092</u>\n<u>Logistics regressions; odds ratios reported; p-values in parentheses + p < 0.10, * p < 0.05, **</u>\np < .01, *** p < .001 Programmatic parties and ICRG bureaucratic quality are measured at\nthe project start year; all other variables are averaged over the project period.\n\n\n\nThe base regressions pool all countries, more and less democratic, since our\n\n\nhypotheses apply equally to both. Table 4 shows that the results are robust, however, to\n\n\nrestricting the sample to countries that have exhibited competitive elections and have had at\n\n\nleast one democratic change of government; the definition follows, and the data are taken\n\n\nfrom, ACLP (Alvarez et. al. 1996, Cheibub et. al. 2009). Within democracies and controlling\n\n\nfor IEG quality at entry rating and initial bureaucratic quality, a unit increase in the\n\n\nproportion of programmatic parties is associated with a nine-fold increase (8.68 ) in the odds\n\n\nof a successful institutional development impact rating relative to the odds of an\n\n\nunsuccessful rating, and a similar nine-fold increase (9.37) in the odds of a successful overall\n\n\noutcome rating relative to an unsuccessful rating.\n\n\n34\n\nMention: \"ACLP\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"ACLP country classifications define the democratic-election subsample used for robustness checks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005830:10:0", "occurrence_id": "c2db6635b5207617f320c50d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: narrow confines of macroeconomic stabilization and an overwhelming focus, in the case of the\nIMF, on inflation and the budget deficit.\n\nTransparency International was soon assisted in its efforts by the international organizations\nthemselves. At the IMF/World Bank meeting in 1996 the Bank president, James Wolfensohn,\ngave a speech in which he did not mince words, saying that there was a collective responsibility\nto deal with “the cancer of corruption.” In country after country—he said—“it is the people who\nare demanding action on this issue. They know that corruption diverts resources from the poor to\nthe rich, increases the cost of running businesses, distorts public expenditures, and deters foreign\ninvestors. They also know that it erodes the constituency for aid programs and humanitarian\nrelief. And we all know that it is a major barrier to sound and equitable development.”\nRecognizing that the Bank “cannot intervene in the political affairs of our member countries,” he\nnevertheless promised that the Bank would “not tolerate corruption in the programs that we\nsupport.” More important, Mr. Wolfensohn invited Transparency International to assist the Bank\nin the development of its anticorruption strategies and gave strong backing to Bank staff efforts\nto develop a broad range of governance indicators, including those specifically capturing the\nextent of corruption. This was an extremely important development because it made it possible\nfor the Bank, through the use of quantified indicators and data, to focus attention on issues of\ngovernance and corruption while at the same time not appearing to interfere in the political\naffairs of its members. The Bank’s Governance Indicators shifted the nature of the debate on\ncorruption, from abstract (and necessarily controversial) discussions about the widespread\nincidence of corruption in, say, Kenya’s public sector, to evidence-based analysis of\ninternationally comparable composite indicators drawn from a large number of credible sources.\n(See Table 1.)\n\n\n7\n\nMention: \"Governance Indicators\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Bank governance indicators are presented as internationally comparable composite evidence for corruption and governance analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005842:10:0", "occurrence_id": "6b46f90a2f545b3889ee6380", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Burundi. This forum was an opportunity to review and strategize going forward with the new Cabinet\nmembers (following recent elections) to demonstrate the effectiveness of the L4R approach and gain\nbuy-in for its continued support. Session discussions focused on identifying potential solutions and\ndesigning action plans to confront challenges surrounding the evolving three priority areas of concern to\nthe government at the time: (i) economic growth, (ii) public finance and fiscal space, and (iii) good\ngovernance <sup>19</sup> [^19: World Bank, April 2011] which were directly aligned with the three themes of the World Bank Africa Strategy 2011:\nCompetitiveness and employment; Vulnerability and resilience; Governance and public sector capacity.\nThese areas highlighted the need to further strengthen the delivery capability of the public sector.\nFollowing a request from the President <sup>20</sup> [^20: \" _To sustain economic performance, we must demand greater efficiency, and we expect results from all sectors..._\n_In this regard, we have already motivated people towards improved accountability, planning and performance_\n_using the Rapid Results Approach. We are confident that this improved performance is proof that sound_\n_management means the needs of the public become reality_ \". Pierre Nkurunziza, President of the Republic of\nBurundi, 14th February 2011 during the Belgian Week in Bujumbura, a yearly event aiming to promote trade and\ninvestment between Burundi and its main economic partner, Association de Reflexion et d’Information sur le\nBurundi, February 2011.] in February, multiple RRIs were launched to translate into\naction the recommendations emerging from this retreat.\n\n\nOf concern to the Cabinet throughout 2011 was the dismal ranking of Burundi on the World\nBank Group’s Doing Business Indicators (its DB 2011 ranking was 177 of 183) <sup>21</sup> [^21: World Bank/IFC (2012) World Bank and IFC, _Doing Business Economy Profile 2012: Burundi_] : they wanted to\nundertake concrete initiatives that would help the\n\nMention: \"the World\nBank Group’s Doing Business Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Doing Business ranking benchmarks Burundi’s business environment and motivates reform initiatives.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005860:33:0", "occurrence_id": "1ee412db179652f61731d31c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 10 - Overidentification Test**\n\n**_<u>A) GDP per capita</u>_** **_<u>B) Institutional Quality</u>_**\n\nDependent Variable: Logaritm of Per Capita Income, Average 2005-2010 Dependent Variable: Institutions, Average WBGI 2009\n\n<u>IV</u> <u>IV</u>\nHuman Opportunity Index* - PISA Test Scores 0.036*** Human Opportunity Index* - PISA Test Scores 0.749***\n0.005 0.109\nConstant 7.17*** Constant 19.61**\n0.354 7.107\nNumber of Observations 49 Number of Observations 49\nWald F Statistic (First Stage) 46.515 Wald F Statistic (First Stage) 46.515\nOveridentification test p-value: Overidentification test p-value:\nHansen J Statistic 0.668 Hansen J Statistic 0.203\n\n\nD-Index* - PISA Test Scores -0.099*** D-Index* - PISA Test Scores -2.053***\n0.021 0.4308713\nConstant 10.62*** Constant 90.682***\n0.222 4.725435\nNumber of Observations 49 Number of Observations 49\nWald F Statistic (First Stage) 16.832 Wald F Statistic (First Stage) 16.832\nOveridentification test p-value: Overidentification test p-value:\nHansen J Statistic 0.740 <u>Hansen J Statistic</u> <u>0.329</u>\n\n                                                    - p<0.05, ** p<0.01, *** p<0.001\n*Average Mathematics, Reading and Science Outcomes Level 2 - PISA 2009\nHuman Opportunity Index** - Six Grade on Time 0.042*** **Completing Six Year of Education on Time\n\nMention: \"WBGI 2009\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"WBGI institutional-quality measure serves as a dependent variable in the regression table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005860:33:0", "occurrence_id": "6906e869c8ea27bbeb7faa97", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 10 - Overidentification Test**\n\n**_<u>A) GDP per capita</u>_** **_<u>B) Institutional Quality</u>_**\n\nDependent Variable: Logaritm of Per Capita Income, Average 2005-2010 Dependent Variable: Institutions, Average WBGI 2009\n\n<u>IV</u> <u>IV</u>\nHuman Opportunity Index* - PISA Test Scores 0.036*** Human Opportunity Index* - PISA Test Scores 0.749***\n0.005 0.109\nConstant 7.17*** Constant 19.61**\n0.354 7.107\nNumber of Observations 49 Number of Observations 49\nWald F Statistic (First Stage) 46.515 Wald F Statistic (First Stage) 46.515\nOveridentification test p-value: Overidentification test p-value:\nHansen J Statistic 0.668 Hansen J Statistic 0.203\n\n\nD-Index* - PISA Test Scores -0.099*** D-Index* - PISA Test Scores -2.053***\n0.021 0.4308713\nConstant 10.62*** Constant 90.682***\n0.222 4.725435\nNumber of Observations 49 Number of Observations 49\nWald F Statistic (First Stage) 16.832 Wald F Statistic (First Stage) 16.832\nOveridentification test p-value: Overidentification test p-value:\nHansen J Statistic 0.740 <u>Hansen J Statistic</u> <u>0.329</u>\n\n                                                    - p<0.05, ** p<0.01, *** p<0.001\n*Average Mathematics, Reading and Science Outcomes Level 2 - PISA 2009\nHuman Opportunity Index** - Six Grade on Time 0.042*** **Completing Six Year of Education on Time\n\nMention: \"PISA 2009\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"PISA assessment scores are used as instruments in GDP-per-capita and institutional-quality regressions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:005852:9:0", "occurrence_id": "50414cec7056dd28219cd4d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **_Access to finance_** **:** The share of working capital that is financed by sources other than\n\nretained earnings. These might include banks, non-bank financial institutions such as\n\nmicrofinance institutions, credit cooperatives, credit unions or finance companies,\n\n\n\n8\n\n\n\npurchases on credit from suppliers and advances from customers, and other sources such\n\nas moneylenders, friends, etc.\n\n\n**_Access to Land_** **:** Index of access to land provided by the World Bank’s _Investing Across_\n\n_Borders_ project. This is an un-weighted average of four sub-indices, which measure\n\naccess to land. These sub-indices are described on the project’s website as follows:\n\n_Strength of lease rights index_ (0-100): Compares economies on the security of\n\nlegal rights they offer to investors interested in leasing industrial land—whether\n\nor not foreign and domestic companies are treated differently and whether the\n\nland can be subleased, subdivided, mortgaged, or used as collateral.\n\n_Strength of ownership rights index_ (0-100): Compares economies on the security\n\nof legal rights they offer to investors interested in purchasing industrial land.\n\n_Access to land information index_ (0-100): Compares economies on the ease of\n\naccess to land-related information through the countries’ land administration\n\nsystems including land registries, cadastres and land information systems.\n\n_Availability of land information index_ (0-100): Compares economies on the\n\navailability of key information to interested private parties through land\n\nadministration institutions.\n\n\n**_Skill ratio of the workforce_** **:** Ratio of skilled to unskilled workers in the firm as measured\n\nby the workers’ level of education in the Enterprise Surveys. In addition, the capital\nlabor ratio of the firm is included as a control variable so we can measure the effect of\n\nMention: \"the Enterprise Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Enterprise Survey responses provide workers’ education levels used to construct firm skill-ratio measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006022:24:0", "occurrence_id": "eb89a0a07f1f3f356cfa370e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (obtained from World Development Indicators) in 1985 to measure the initial quality of\n\n\nthe transportation infrastructure in each country in the sample. This variable allows us to\n\n\ncontrol for the ease with which resources can move across the cities in a given country.\n\n\nHigher transportation costs associated with poorer infrastructure create incentives for the\n\n\nconcentration of economic activity in a smaller number of cities.\n\n\n_Regime Change Dummy_ **.** This is a dummy variable taking a value of 1 when dictatorship\n\n\nends in a country before 1985. Following Ades and Glaeser (1995), we accept a country\n\n\nas a dictatorship when its Gastil index is higher than 3. Therefore, countries switch from\n\n\na dictatorship to a democracy when their Gastil index decreases from above 3 (in 1970–4)\n\n\nto below 3 (in 1980–4). We use the Gastil index as documented by Barro and Lee (1994).\n\n\nThis variable is important for our purposes because the literature (e.g., Ades and Glaeser\n\n\n1995) has documented a significant and robust positive relationship between the urban\n\n\nconcentration levels and dictatorships.\n\n\nEstimation Results\n\n\nThe regression results for our benchmark case are given in table 1, where the\n\n\nsample is the same across different regressions. The estimates of <sup>__</sup> are negative and\n\n\nsignificant using any estimation methodology for all types of tariffs (except for the tariff\n\n\nchange in consumption goods when TSLS using the first instrument is employed). <sup>22</sup> For\n\n\n22Changes in the tariffs for consumption goods would generally be expected to affect urban\n\n\nconcentration differently than changes in the tariffs for intermediate and capital goods. This is because\n\n\naccess to intermediates is more relevant for urban agglomerations where backward and forward linkages\n\n\nbetween firms matter, as in Krugman and Livas (1996).\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Development Indicators supply initial infrastructure-quality measures used as controls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006022:24:0", "occurrence_id": "f58b5838282ef0147441c0d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (obtained from World Development Indicators) in 1985 to measure the initial quality of\n\n\nthe transportation infrastructure in each country in the sample. This variable allows us to\n\n\ncontrol for the ease with which resources can move across the cities in a given country.\n\n\nHigher transportation costs associated with poorer infrastructure create incentives for the\n\n\nconcentration of economic activity in a smaller number of cities.\n\n\n_Regime Change Dummy_ **.** This is a dummy variable taking a value of 1 when dictatorship\n\n\nends in a country before 1985. Following Ades and Glaeser (1995), we accept a country\n\n\nas a dictatorship when its Gastil index is higher than 3. Therefore, countries switch from\n\n\na dictatorship to a democracy when their Gastil index decreases from above 3 (in 1970–4)\n\n\nto below 3 (in 1980–4). We use the Gastil index as documented by Barro and Lee (1994).\n\n\nThis variable is important for our purposes because the literature (e.g., Ades and Glaeser\n\n\n1995) has documented a significant and robust positive relationship between the urban\n\n\nconcentration levels and dictatorships.\n\n\nEstimation Results\n\n\nThe regression results for our benchmark case are given in table 1, where the\n\n\nsample is the same across different regressions. The estimates of <sup>__</sup> are negative and\n\n\nsignificant using any estimation methodology for all types of tariffs (except for the tariff\n\n\nchange in consumption goods when TSLS using the first instrument is employed). <sup>22</sup> For\n\n\n22Changes in the tariffs for consumption goods would generally be expected to affect urban\n\n\nconcentration differently than changes in the tariffs for intermediate and capital goods. This is because\n\n\naccess to intermediates is more relevant for urban agglomerations where backward and forward linkages\n\n\nbetween firms matter, as in Krugman and Livas (1996).\n\nMention: \"Barro and Lee (1994)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Barro and Lee documentation supplies the Gastil-index values used to classify regime changes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006246:10:2", "occurrence_id": "c035d3244f97a081fa7f1de2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |8,421|-0.45|6.90|146.89|-12.91|\n|Trinidad and Tobago|5,130|1,337,439|18,969|29,086|1.52|9.26|36.86|12.29|\n|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|\n|Belize|22,970|324,060|1,377|8,438|5.29|1.32|75.42|-1.34**|\n|Guyana|214,970|795,369|1,016|6,054|4.82|2.39|64.27|-13.85|\n|Suriname|163,820|534,541|2,394|15,174|3.88|5.01|22.14|4.75|\n|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|\n|Haiti<br>|27,750<br>|10,173,775<br>|4,677|1,575|2.82|6.28|16.38|-4.45|\n\n\n_*Data from Jamaica from World bank, (2014a)._\n_**Current Account Balance data from IMF Indicators 2014. Data for Belize and Trinidad from 2011 and Barbados from 2010._\n\n\nBeing mostly islands one can comfortably say that they have the natural physical barrier imposed by the\nsurrounding sea mass. This leads to higher costs for developing infrastructure and creates a markup to\novercome on the logistics costs of traded goods. Exchanges of goods and services with the rest of the\n\nMention: \"Data from Jamaica from World bank\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank data supply Jamaica’s figures in the regional comparison table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006246:10:2", "occurrence_id": "46be5f50228c225aeeb44740", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |8,421|-0.45|6.90|146.89|-12.91|\n|Trinidad and Tobago|5,130|1,337,439|18,969|29,086|1.52|9.26|36.86|12.29|\n|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|\n|Belize|22,970|324,060|1,377|8,438|5.29|1.32|75.42|-1.34**|\n|Guyana|214,970|795,369|1,016|6,054|4.82|2.39|64.27|-13.85|\n|Suriname|163,820|534,541|2,394|15,174|3.88|5.01|22.14|4.75|\n|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|\n|Haiti<br>|27,750<br>|10,173,775<br>|4,677|1,575|2.82|6.28|16.38|-4.45|\n\n\n_*Data from Jamaica from World bank, (2014a)._\n_**Current Account Balance data from IMF Indicators 2014. Data for Belize and Trinidad from 2011 and Barbados from 2010._\n\n\nBeing mostly islands one can comfortably say that they have the natural physical barrier imposed by the\nsurrounding sea mass. This leads to higher costs for developing infrastructure and creates a markup to\novercome on the logistics costs of traded goods. Exchanges of goods and services with the rest of the\n\nMention: \"IMF Indicators 2014\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"IMF indicator series provides current-account-balance data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006246:10:2", "occurrence_id": "16035c8b4a37fb3019e027d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |8,421|-0.45|6.90|146.89|-12.91|\n|Trinidad and Tobago|5,130|1,337,439|18,969|29,086|1.52|9.26|36.86|12.29|\n|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|Continental Caribbean|\n|Belize|22,970|324,060|1,377|8,438|5.29|1.32|75.42|-1.34**|\n|Guyana|214,970|795,369|1,016|6,054|4.82|2.39|64.27|-13.85|\n|Suriname|163,820|534,541|2,394|15,174|3.88|5.01|22.14|4.75|\n|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|Fragile State|\n|Haiti<br>|27,750<br>|10,173,775<br>|4,677|1,575|2.82|6.28|16.38|-4.45|\n\n\n_*Data from Jamaica from World bank, (2014a)._\n_**Current Account Balance data from IMF Indicators 2014. Data for Belize and Trinidad from 2011 and Barbados from 2010._\n\n\nBeing mostly islands one can comfortably say that they have the natural physical barrier imposed by the\nsurrounding sea mass. This leads to higher costs for developing infrastructure and creates a markup to\novercome on the logistics costs of traded goods. Exchanges of goods and services with the rest of the\n\nMention: \"Data for Belize and Trinidad from 2011 and Barbados from 2010\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Older observation years are noted for Belize, Trinidad, and Barbados in the comparison data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006054:29:0", "occurrence_id": "051f075df76dbcaf6f0db475", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _The potential gains within the South Asian Region (SAR) from cross-border electricity trade are large._\n\n\nESMAP (2008) discusses the nature of the gains from increased energy trading in the SAR. This\nreport discusses the bilateral (and multilateral) electricity trades that might be mutually beneficial\nwithin the region. Of these, six are relevant to our initial list of eight SAR countries: Pakistan-India\nand Pakistan-Afghanistan; Bhutan-India; Nepal-India; Bangladesh-India; India-Sri Lanka; and\nBangladesh, Bhutan, Nepal and India multilateral trade.\n\n\nThe ESMAP report discusses the absence of electricity interconnection between Pakistan and India\nand the difficulties of interconnecting Pakistan with Afghanistan, suggesting that the gains from\ntrade are modest. Bhutan-India is the one electricity trade success story in the region, with Bhutan\nderiving significant government revenue from the export of hydro based electricity to India. In 2010\nBhutan exported 5.4 TWh (or 75% of its production) <sup>35</sup> [^35: Source of recent electricity production, import and export figures: CIA The World Factbook. Available at\n<u>[https://www.cia.gov/library/publications/the-world-factbook/index.html.](https://www.cia.gov/library/publications/the-world-factbook/index.html)</u>\n<u>[36 See: http://www.sari-energy.org/](http://www.sari-energy.org/)</u>] to India. Nepal-India has the biggest\nunexploited trade potential. Nepal has 43 GW of identified economic hydro capacity, and an\ninstalled capacity of just 721 MW in 2010. Much of any hydro capacity could be exported to India,\nbut current total exports were 1% of its current production (or 0.03 TWh) in 2010. Bangladesh-India\nelectricity trade is also at a very low level in spite of good prospects for the export of gas based\ngeneration from Bangladesh to India. In 2010 Bangladesh imported a total 0\n\nMention: \"CIA The World Factbook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Factbook supplies recent electricity production, import, and export figures for the regional trade discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006054:29:0", "occurrence_id": "c557ea4f7eaf36cd4c81d7fc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _The potential gains within the South Asian Region (SAR) from cross-border electricity trade are large._\n\n\nESMAP (2008) discusses the nature of the gains from increased energy trading in the SAR. This\nreport discusses the bilateral (and multilateral) electricity trades that might be mutually beneficial\nwithin the region. Of these, six are relevant to our initial list of eight SAR countries: Pakistan-India\nand Pakistan-Afghanistan; Bhutan-India; Nepal-India; Bangladesh-India; India-Sri Lanka; and\nBangladesh, Bhutan, Nepal and India multilateral trade.\n\n\nThe ESMAP report discusses the absence of electricity interconnection between Pakistan and India\nand the difficulties of interconnecting Pakistan with Afghanistan, suggesting that the gains from\ntrade are modest. Bhutan-India is the one electricity trade success story in the region, with Bhutan\nderiving significant government revenue from the export of hydro based electricity to India. In 2010\nBhutan exported 5.4 TWh (or 75% of its production) <sup>35</sup> [^35: Source of recent electricity production, import and export figures: CIA The World Factbook. Available at\n<u>[https://www.cia.gov/library/publications/the-world-factbook/index.html.](https://www.cia.gov/library/publications/the-world-factbook/index.html)</u>\n<u>[36 See: http://www.sari-energy.org/](http://www.sari-energy.org/)</u>] to India. Nepal-India has the biggest\nunexploited trade potential. Nepal has 43 GW of identified economic hydro capacity, and an\ninstalled capacity of just 721 MW in 2010. Much of any hydro capacity could be exported to India,\nbut current total exports were 1% of its current production (or 0.03 TWh) in 2010. Bangladesh-India\nelectricity trade is also at a very low level in spite of good prospects for the export of gas based\ngeneration from Bangladesh to India. In 2010 Bangladesh imported a total 0\n\nMention: \"ESMAP (2008)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Report discusses bilateral and multilateral electricity-trade gains and constraints in South Asia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006109:6:1", "occurrence_id": "4434231348b8301ee23c165b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  sources of income and patterns of expenditure—with special emphasis on the\n\nconsumption of staple foods whose price is typically very important for the poor, and on income\n\nfrom production of these goods—for a large sample of households. These data are used to\n\ncapture the impacts of production and price shocks on the real incomes of households.\n\nThe first step in the analysis is to estimate the distribution of unfavorable shocks to\n\nagricultural output—such as might arise from a drought—and evaluate their implications for the\n\nnational economy and for household welfare. We use historical data on yield shocks, available\n\nfrom the FAO, to estimate the distribution of shocks in productivity relative to the 3-year moving\n\naverage. We then implement shocks in a CGE model (GTAP) as negative productivity shocks\n\nand, through a Monte Carlo exercise, calculate the resulting distribution of prices, household\n\nincomes and poverty rates.\n\n\n1 Where an import surge is defined as imports exceeding 110 per cent of the preceding three-year moving average.\n\n5\n\nMention: \"the FAO\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Historical crop-yield data estimate agricultural productivity shocks for CGE simulations of household income and poverty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "578ef3fb73d3771b8fdc8fe2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"GAEZ 2000\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Agro-ecological suitability data inform crop-area and yield distributions in the spatial production model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "38261324196d0282ea778e42", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"Global Rural-Urban Mapping\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Global rural-urban mapping data provide population-density inputs for spatial crop estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "34811ccd4fb6b197bef51239", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"Global Rural-Urban Mapping\nProject\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"GRUMP population-density grids support spatial allocation of rural population.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "8d1e1c860f57b72ef451c1cb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"SPAM2000\n\n\n\nCrop distribution\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SPAM2000 crop-distribution data supply spatial crop-area inputs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "60aa52f7d0975d4e3c0db54b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"FAOSTAT average 2009-2011\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"FAOSTAT production series provide agricultural observations for the model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "43032e1e399ff7c584f15c7e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"S. Fritz and Linda See (2013)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ag-land surface data source used in the agricultural spatial-input table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "28b5e2b4cb2b1f1867a3207f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"FAO/IIASA\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"FAO/IIASA source for crop-suitability area and yield layers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "f900e7c9c5a6a71520b22002", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"IIASA/FAO\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Global Agro-ecological Zones version 3.0 provides crop-suitability inputs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "3c985b1f4efd356399de914a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"HarvestChoice (2010)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"HarvestChoice (2010) is cited with GAEZ as a source for crop-suitability information.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "cc3d525e1f2e16818b4bc412", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"FAOSTAT in 2003\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"FAOSTAT-derived 1999–2001 crop-price averages used in the model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "22b5f09971d2bf5313698651", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"FAOSTAT in 2013\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"FAOSTAT-derived 2004–2006 crop-price averages used in the model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "470f854afc015fe08edcc515", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"FAOSTAT in 2013\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Repeated FAOSTAT citation for updated crop-price averages.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "d4e37449afaaeb1c7757287d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"GADM\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"GADM provides country and subnational administrative boundaries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006341:29:1", "occurrence_id": "7416238b3426df173ab4374c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2001\n\n\n\nFAOSTAT average 2009-2011,\n1 downloaded in August 2013\n\n\n\nCountry level or Level Various literature and expert\n1 administrative units judgments\n\n\n\n5 deg min pixels Siebert, S., Döll, P., Hoogeveen,\nJ. (2002). \"Global map of\nirrigated areas version 2.1.\"\nCenter for Environmental\nSystems Research, University of\nKassel, and FAO.\n\n\n\nSame as for SPAM2000\n\n\nSame as for SPAM2000\n\n\nS. Fritz and Linda See (2013).\nAg-land surface, IIASA.\n\n\n\nCrop suitabilities\n(area and yield)\n\n\n\nCrop suitabilities 5 deg min pixels GAEZ 2000, FAO/IIASA IIASA/FAO (2010). Global\n(area and yield) Agro-ecological Zones (GAEZ\n\nv3.0). IIASA and FAO, and\nHarvestChoice (2010)\nRural population 5 deg min pixels Global Rural-Urban Mapping Same as for SPAM2000\ndensity Project (GRUMP), v1.Center for\n\n\n\n5 deg min pixels Global Rural-Urban Mapping\nProject (GRUMP), v1.Center for\nInternational Earth Science\nInformation Network (CIESIN),\nColumbia University; IFPRI; The\nWorld Bank; and Centro\nInternacional de Agricultura\nTropical (CIAT). 2004.\n\n\n\nSame as for SPAM2000\n\n\n\nCrop distribution 5 deg min pixels CG centers, expert knowledge Same as for SPAM2000\nCrop prices Country level FAO International $ PPP avg FAO International $ PPP avg\n(1999-2001), calculated from (2004-2006), calculated from\nFAOSTAT in 2003 FAOSTAT in 2013\n\n\n\nFAO International $ PPP avg\n(2004-2006), calculated from\nFAOSTAT in 2013\n\n\n\nBoundaries of\nadministrative units\n\n\n\nCountry, level 1 and\nlevel 2\n\n\n\nGADM GAUL2008, version 2009\n\n\n\n<u>1/ FAOSTAT updates its production time series not only for new years, but sometimes also backwards for past</u>\nyears.\n\nMention: \"GAUL2008\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"GAUL2008 version 2009 supplies country and level-1/level-2 boundary data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006358:4:1", "occurrence_id": "6b6f99ff09e395b1e0d03137", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to the buyer’s name so that the buyer can use the property for expanding its\nbusiness, use the property as collateral in taking new loans or, if necessary, sell the\nproperty to another business are also measured.\n\n  - The getting credit indicator covers two areas relevant for access to credit for businesses\n\nand is based on the methodology developed by Djankov _et al._ (2002). The first area\ncovered consists in the legal rights of borrowers and lenders with respect to secured\ntransactions. In particular the indicator measures whether certain features that facilitate\nlending exist within the applicable collateral and bankruptcy laws. The second area\nmeasures the extent to which credit information is shared by looking at the coverage,\nscope and accessibility of credit information available through public credit registries and\nprivate credit bureaus.\n\n  - The protecting investors indicator assesses the strength of minority shareholders\n\nprotection against directors’ misuse of corporate assets for personal gain and is based on\n\n2 The Doing Business database is available at www.doingbusiness.org.\n\n\n3\n\nMention: \"Doing Business database\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Doing Business database provides indicator definitions for business-property registration, credit access, and investor protection.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006311:33:1", "occurrence_id": "3aced7ca1bdd7238c1a85cd1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 12</u> <u>7.0</u> <u>65</u> <u>7.6</u>\n<u>Total</u> <u>188</u> <u>100</u> <u>860</u> <u>100</u>\n\n\nSource: Ethiopian Rural Household Survey\naOver …ve years preceding 1994.\n\n\n31\n\nMention: \"Ethiopian Rural Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Ethiopian Rural Household Survey supplies the household observations summarized in the accompanying table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006322:15:1", "occurrence_id": "33b30189ab7fb89485d60f4e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , either by themselves or indirectly through their\nemployer.\n\nIndeed, household survey data confirm that not all PhilHealth beneficiaries know of their benefits. In 2011,\nwhen the PhilHealth database reported almost 80 million members (equivalent to around 80 percent of\nthe population), only 49 percent of survey respondents (households) reported having PhilHealth (authors’\nestimates, using FHS 2011) <sup>10</sup> . Worse, the share of the poorest quintile reporting health insurance coverage\nwas only 37 percent, despite the fact that this group should be completed covered by tax-subsidized\ninsurance (authors’ estimates, using FHS 2011) <sup>11</sup> . By 2013, when the PhilHealth database was reporting\naround 83 million beneficiaries (equivalent to around 83 percent of the population), survey data showed\nan insurance coverage rate of 61 percent of the population (authors’ estimates, using DHS 2013). If the\nshare of eligible members who know of their entitlement to coverage is so low, then the number of people\nwith full knowledge of their range of benefits – a factor which influences whether one uses one’s\ninsurance when seeking care – would be even smaller.\n\nPhilHealth is implementing a number of activities to improve benefit awareness. These include radio,\ntelevision and newspaper advertisements, information sessions for the beneficiaries of the conditional\n\n\n10 Estimates from the PhilHealth database and household surveys are not expected to be exactly the same since\nsurveys use households as the unit of analysis whereas PhilHealth enrolls families. However, this factor cannot\naccount for the very large differences observed, however.\n11 The asset index that the FHS uses to categorize households into quintiles does not have the same components as\nthe proxy means test that is used to classify households as “poor” for the purposes of health insurance subsidies,\nbut, again, this does not fully account for the low level of coverage observed among this group.\n\n\n14\n\nMention: \"FHS 2011\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"FHS household survey estimates health-insurance coverage, including coverage among the poorest quintile.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006322:15:1", "occurrence_id": "f25e1692de4a3eb49be49bdc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , either by themselves or indirectly through their\nemployer.\n\nIndeed, household survey data confirm that not all PhilHealth beneficiaries know of their benefits. In 2011,\nwhen the PhilHealth database reported almost 80 million members (equivalent to around 80 percent of\nthe population), only 49 percent of survey respondents (households) reported having PhilHealth (authors’\nestimates, using FHS 2011) <sup>10</sup> . Worse, the share of the poorest quintile reporting health insurance coverage\nwas only 37 percent, despite the fact that this group should be completed covered by tax-subsidized\ninsurance (authors’ estimates, using FHS 2011) <sup>11</sup> . By 2013, when the PhilHealth database was reporting\naround 83 million beneficiaries (equivalent to around 83 percent of the population), survey data showed\nan insurance coverage rate of 61 percent of the population (authors’ estimates, using DHS 2013). If the\nshare of eligible members who know of their entitlement to coverage is so low, then the number of people\nwith full knowledge of their range of benefits – a factor which influences whether one uses one’s\ninsurance when seeking care – would be even smaller.\n\nPhilHealth is implementing a number of activities to improve benefit awareness. These include radio,\ntelevision and newspaper advertisements, information sessions for the beneficiaries of the conditional\n\n\n10 Estimates from the PhilHealth database and household surveys are not expected to be exactly the same since\nsurveys use households as the unit of analysis whereas PhilHealth enrolls families. However, this factor cannot\naccount for the very large differences observed, however.\n11 The asset index that the FHS uses to categorize households into quintiles does not have the same components as\nthe proxy means test that is used to classify households as “poor” for the purposes of health insurance subsidies,\nbut, again, this does not fully account for the low level of coverage observed among this group.\n\n\n14\n\nMention: \"DHS 2013\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DHS survey estimates the population’s health-insurance coverage rate in 2013.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006322:15:1", "occurrence_id": "5293033968836cc72339cae1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , either by themselves or indirectly through their\nemployer.\n\nIndeed, household survey data confirm that not all PhilHealth beneficiaries know of their benefits. In 2011,\nwhen the PhilHealth database reported almost 80 million members (equivalent to around 80 percent of\nthe population), only 49 percent of survey respondents (households) reported having PhilHealth (authors’\nestimates, using FHS 2011) <sup>10</sup> . Worse, the share of the poorest quintile reporting health insurance coverage\nwas only 37 percent, despite the fact that this group should be completed covered by tax-subsidized\ninsurance (authors’ estimates, using FHS 2011) <sup>11</sup> . By 2013, when the PhilHealth database was reporting\naround 83 million beneficiaries (equivalent to around 83 percent of the population), survey data showed\nan insurance coverage rate of 61 percent of the population (authors’ estimates, using DHS 2013). If the\nshare of eligible members who know of their entitlement to coverage is so low, then the number of people\nwith full knowledge of their range of benefits – a factor which influences whether one uses one’s\ninsurance when seeking care – would be even smaller.\n\nPhilHealth is implementing a number of activities to improve benefit awareness. These include radio,\ntelevision and newspaper advertisements, information sessions for the beneficiaries of the conditional\n\n\n10 Estimates from the PhilHealth database and household surveys are not expected to be exactly the same since\nsurveys use households as the unit of analysis whereas PhilHealth enrolls families. However, this factor cannot\naccount for the very large differences observed, however.\n11 The asset index that the FHS uses to categorize households into quintiles does not have the same components as\nthe proxy means test that is used to classify households as “poor” for the purposes of health insurance subsidies,\nbut, again, this does not fully account for the low level of coverage observed among this group.\n\n\n14\n\nMention: \"PhilHealth database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"PhilHealth database reports membership totals used to compare administrative enrollment with household-reported coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006322:15:1", "occurrence_id": "6806f3549116ba25d5d14a31", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , either by themselves or indirectly through their\nemployer.\n\nIndeed, household survey data confirm that not all PhilHealth beneficiaries know of their benefits. In 2011,\nwhen the PhilHealth database reported almost 80 million members (equivalent to around 80 percent of\nthe population), only 49 percent of survey respondents (households) reported having PhilHealth (authors’\nestimates, using FHS 2011) <sup>10</sup> . Worse, the share of the poorest quintile reporting health insurance coverage\nwas only 37 percent, despite the fact that this group should be completed covered by tax-subsidized\ninsurance (authors’ estimates, using FHS 2011) <sup>11</sup> . By 2013, when the PhilHealth database was reporting\naround 83 million beneficiaries (equivalent to around 83 percent of the population), survey data showed\nan insurance coverage rate of 61 percent of the population (authors’ estimates, using DHS 2013). If the\nshare of eligible members who know of their entitlement to coverage is so low, then the number of people\nwith full knowledge of their range of benefits – a factor which influences whether one uses one’s\ninsurance when seeking care – would be even smaller.\n\nPhilHealth is implementing a number of activities to improve benefit awareness. These include radio,\ntelevision and newspaper advertisements, information sessions for the beneficiaries of the conditional\n\n\n10 Estimates from the PhilHealth database and household surveys are not expected to be exactly the same since\nsurveys use households as the unit of analysis whereas PhilHealth enrolls families. However, this factor cannot\naccount for the very large differences observed, however.\n11 The asset index that the FHS uses to categorize households into quintiles does not have the same components as\nthe proxy means test that is used to classify households as “poor” for the purposes of health insurance subsidies,\nbut, again, this does not fully account for the low level of coverage observed among this group.\n\n\n14\n\nMention: \"PhilHealth database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"PhilHealth database reports 2013 beneficiary totals compared with survey-reported coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006374:12:0", "occurrence_id": "416df29bd8170a0fb723192c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: is the case for the coefficient on the 5 <sup>th</sup> income quintile and its interaction with initial GDP per\n\n\ncapita. Estimates based on the WDI income inequality data thus confirm the message from our\n\n\nbaseline regressions: increases in income inequality increase GDP per capita in poor countries but\n\n\ndecrease it in rich countries.\n\n\nTable 4 shows that our main finding holds for the sub-sample of countries located in Latin\n\n\nAmerica and the Caribbean. These economies are notorious for their relatively high levels of\n\n\ninequality. For example, of the top 10 countries with the highest Ginis, 7 are from Latin America\n\n\nand the Caribbean in 2000-2010. Table 4 shows that for the sub-sample of countries located in Latin\n\n\nAmerica and the Caribbean, the coefficient on the interaction between the Gini coefficient and\n\n\ninitial GDP per capita is significantly negative; this is also the case for the 5 <sup>th</sup> income quintile. On\n\n\nthe other hand, the coefficients on the interactions between initial GDP per capita and the income\n\n\nshares of the 1 <sup>st</sup>, 2 <sup>nd</sup>, 3 <sup>rd</sup>, and 4 <sup>th</sup> quintiles are significantly positive. We note that in terms of\n\n\ninstrument strength the F-statistic continues to be above 10 for the majority of columns in Table 4;\n\n\nhowever it is below 10 in columns (4) and (5). The lower F-statistic is expected because the sample\n\n\nsize is smaller.\n\n\nTable 5 reports estimates for the pre- and post-1990 period. The split between pre- and post\n\n1990 period is of interest because it allows to examine whether the estimated coefficients are stable\n\n\nover time. The year 1990 marks the mid-point in the time period over which the model is estimated\n\n\nso it is a natural point to\n\nMention: \"WDI income inequality data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"World Development Indicators income-inequality data corroborate the estimated relationship between inequality and GDP per capita.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006446:54:0", "occurrence_id": "09e1bb5c50bcdf90b460562c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 0.14\n\n\n0.12\n\n\n0.10\n\n\n0.08\n\n\n0.06\n\n\n0.04\n\n\n0.02\n\n\n0.00\n\n\n‐0.02\n\n\n‐0.04\n\n\n\n**Figure A3.2. Detailed composition effects (2007-2012)**\n\n\nGeographic\n\n\nEducation\n\n\nFirm Size\n\n\nFirm Ownership\n\n\nMin. Wage\n\n\nDemographic\n\n\nOccupation\n\n\nIndustry\n\n\n5 15 25 35 45 55 65 75 85 95\n\n\n\n_Source:_ Own elaboration based on RLMS (Rounds XVI and XXI). _Notes:_ decompositions results are based on the\nsubsample of currently employed wage workers in the age group 18-60, reporting more than 140 worked hours in\nthe last 30 days and with non-missing data in wages. The distribution of hourly wages was trimmed at the bottom\nand top 0.25 percent in each round, to remove outliers.\n\n\n**Figure A3.3. Detailed composition effects (2007-2012)**\n\n\n0.25\n\n\n\n0.20\n\n\n0.15\n\n\n0.10\n\n\n0.05\n\n\n0.00\n\n\n‐0.05\n\n\n‐0.10\n\n\n‐0.15\n\n\n‐0.20\n\n\n‐0.25\n\n\n\nGeographic\n\n\nEducation\n\n\nFirm Size\n\n\nFirm Ownership\n\n\nMin. Wage\n\n\nDemographic\n\n\nOccupation\n\n\nIndustry\n\n\n\n5 15 25 35 45 55 65 75 85 95\n\n\n_Source:_ Own elaboration based on RLMS (Rounds XVI and XXI). _Notes:_ decomposition results are based on the\nsubsample of currently employed wage workers in the 18-60 age group, reporting more than 140 worked hours in\nthe last 30 days and with non-missing data in wages. The distribution of hourly wages was trimmed at the bottom\nand top 0.25 percent in each round, to remove outliers.\n\n\n53\n\nMention: \"RLMS (Rounds XVI and XXI)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"RLMS survey rounds underpin wage-decomposition estimates for employed workers across occupation, education, and demographic groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006528:48:1", "occurrence_id": "7b9240994acd78be5287b22c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /table%201.pdf> [Accessed: august 2015]\n7 The World Bank, “Social Protection and Labor Strategy, 2012-2022: Resilience, Equity and Opportunity”, 2012, p. xi\n8 United Nations Institute for Disaster Risk Reduction (UNISDR), “Global Assessment Report (GAR) on Disaster Risk\nReduction, 2015: Making Development Sustainable – the Future of Disaster Risk Management”, 2015, p. 165\n9 UNISDR, “GAR 2015”, 2015, p. 49\n10 Government of the Philippines, “Reconstruction Assistance on Yolanda: Build Back Better”, 2013, p. 3\n11 DSWD, “Response and Early Recovery Updates”, April 2014 <u>http://www.fo8.dswd.gov.ph/2014/04/response-and-early-</u>\n<u>recovery-updates-typhoon-yolanda/ [accessed: April 2015]</u>\n12 See: DSWD, “DSWD, WFP provide cash assistance to 6,700 families affected by Hagupit”,\n<u>http://www.dswd.gov.ph/2015/02/dswd-wfp-provide-cash-assistance-to-6717-families-affected-by-hagupit/>, February 2015</u>\n\n[accessed: April 2015]\n13 United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA), “Final Periodic Monitoring Report: Typhoon\nHaiyan”, 2014, p. 34\n14 Ibid, p. 34\n15 Inter-agency Humanitarian Evaluation Steering Group, “IASC Inter-agency Humanitarian Evaluation of the Typhoon Haiyan\nResponse”, 2014, p. ix\n16 UNU et al, “World Risk Index, 2014.”\n17 Verisk Maplecroft, “Climate Change Vulnerability Index, 2015”\n18 Verisk Maplecroft, “\n\nMention: \"World Risk Index\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"World Risk Index cited as an external disaster-risk measure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006528:48:1", "occurrence_id": "4da3b90729faa592c12f8a70", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /table%201.pdf> [Accessed: august 2015]\n7 The World Bank, “Social Protection and Labor Strategy, 2012-2022: Resilience, Equity and Opportunity”, 2012, p. xi\n8 United Nations Institute for Disaster Risk Reduction (UNISDR), “Global Assessment Report (GAR) on Disaster Risk\nReduction, 2015: Making Development Sustainable – the Future of Disaster Risk Management”, 2015, p. 165\n9 UNISDR, “GAR 2015”, 2015, p. 49\n10 Government of the Philippines, “Reconstruction Assistance on Yolanda: Build Back Better”, 2013, p. 3\n11 DSWD, “Response and Early Recovery Updates”, April 2014 <u>http://www.fo8.dswd.gov.ph/2014/04/response-and-early-</u>\n<u>recovery-updates-typhoon-yolanda/ [accessed: April 2015]</u>\n12 See: DSWD, “DSWD, WFP provide cash assistance to 6,700 families affected by Hagupit”,\n<u>http://www.dswd.gov.ph/2015/02/dswd-wfp-provide-cash-assistance-to-6717-families-affected-by-hagupit/>, February 2015</u>\n\n[accessed: April 2015]\n13 United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA), “Final Periodic Monitoring Report: Typhoon\nHaiyan”, 2014, p. 34\n14 Ibid, p. 34\n15 Inter-agency Humanitarian Evaluation Steering Group, “IASC Inter-agency Humanitarian Evaluation of the Typhoon Haiyan\nResponse”, 2014, p. ix\n16 UNU et al, “World Risk Index, 2014.”\n17 Verisk Maplecroft, “Climate Change Vulnerability Index, 2015”\n18 Verisk Maplecroft, “\n\nMention: \"Climate Change Vulnerability Index\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Climate Change Vulnerability Index cited as an external climate-risk measure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006486:42:0", "occurrence_id": "8710b34b366e77b0329c6062", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>Medium-term Credit</u>\n\n\n\n\n\n<u>Long-term Credit</u>\n\n\n\n\n\nSource: ECB Statistical Data Warehouse.\n\n\n\n41\n\nMention: \"ECB Statistical Data Warehouse\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"ECB statistical warehouse is the source for medium- and long-term credit series shown in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006557:40:1", "occurrence_id": "b9d94869ff1b2decb36112e7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6<br>.8<br>1<br>cumulative proportion: attended births<br>0<br>.2<br>.4<br>.6<br>.8<br>1<br>cumulative proportion: births in last 5 years<br>2000<br>2005<br>2011<br>2014<br>(skilled health personnel)<br>Skilled Birth Attendant<br>|\n\n\nSource: Authors' computation from the DHS data.The values are for all regions except Addis Ababa.\n\n\n39\n\nMention: \"the DHS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DHS data support trends in attended births and skilled birth assistance across Ethiopian regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006585:40:0", "occurrence_id": "f9cb9b4d67bad81dd69768ce", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>Figure 32. Savings EACR (household level, LITS)</u>\n\n\nSweden\n\n\nGermany\n\n\nCzech Republic\n\n\nSlovak Republic\n\n\nFrance\n\n\nItaly\n\n\nUkraine\n\n\nGreat Britain\n\n\nBelarus\n\n\nEstonia\n\n\nAll\n\n\nLithuania\n\n\nKosovo\n\n\nRussian Federation\n\n\nSlovenia\n\n\nAlbania\n\n\nPoland\n\n\nLatvia\n\n\nHungary\n\n\nKazakhstan\n\n\nUzbekistan\n\n\nKyrgyzstan\n\n\nRomania\n\n\nCroatia\n\n\nBosnia and Herzegovina\n\n\nMongolia\n\n\nSerbia\n\n\nMacedonia\n\n\nMontenegro\n\n\nMoldova\n\n\nTajikistan\n\n\n\nTurkey\n\n\nBulgaria\n\n\nAzerbaijan\n\n\nGeorgia\n\n\nArmenia\n\n\n\n\n\n0 10 20 30 40 50 60 70 80 90 100\n\n\nEACR Dissimilarity Coverage\n\n\n35 countries sorted by coverage rates. Coverage rates are labeled\n_<u>Sources</u>_ <u>: LITS</u>\n\n\n39\n\nMention: \"LITS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey data used to compare household savings coverage across 35 countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006670:28:0", "occurrence_id": "1da73dfba53cc1de319db3af", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: In this case management is measured as a dummy variable that takes the value of one if IT use has led to\n\n\nbetter communication within the firm, increased logistics efficiency, better activities management or to the\n\n\nimplementation of automatized systems. These factors were selected as a proxy because ENTIC does not\n\n\ninclude specific information regarding management practices. The results of these regressions indicate that\n\n\nthe interaction term is not statistically significant. However, these results could be driven by the limitations\n\n\nof our proxy.\n\n\nAdditionally, considering that business environment variables such as the ones included in the World\n\n\nBank’s Doing Business reports could be factors explaining higher returns to IT use over productivity, we in\n\ncluded an interaction of IT use with business environment variables such as the state Doing Business rankings\n\nfrom 2007 <sup>12</sup> and its components (ease of starting a business, ease of registering property, ease of enforcing a\n\n\ncontract, ease of obtaining credit) as well as distance to the U.S. border and financial inclusion (measured as\n\nthe number of ATMs for each 10,000 adults in 2009). <sup>13</sup> The results indicate that only the interaction with\n\n\nthe ease of enforcing contracts yields statistically significant results and only for the computers-per-worker\n\n\nand share of labor with computer variables. This is a research line that should be analyzed further using\n\n\ndifferent data sources.\n\n\nAs a robustness test of the interaction between IT use and Chinese competition, we considered\n\n\ncompetition in the U.S. market instead of the domestic measure of competition. The rationale behind this\n\n\nrobustness test is that firms may not be facing pressure from Chinese competition in their domestic market\n\n\nbut in the U.S. market and that should lead to the same kind of heterogeneity. As Table 11 shows, the\n\n\neffects are smaller but in the same direction as the ones observed in Table 10. Additionally the coefficients\n\n\nassociated to Chinese competition solely are no longer significant, indicating that Chinese\n\nMention: \"state Doing Business rankings\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Doing Business ranking is included as a business-environment control in analysis of IT use and firm productivity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006670:28:0", "occurrence_id": "31db568c2675a2b2de2dac0c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: In this case management is measured as a dummy variable that takes the value of one if IT use has led to\n\n\nbetter communication within the firm, increased logistics efficiency, better activities management or to the\n\n\nimplementation of automatized systems. These factors were selected as a proxy because ENTIC does not\n\n\ninclude specific information regarding management practices. The results of these regressions indicate that\n\n\nthe interaction term is not statistically significant. However, these results could be driven by the limitations\n\n\nof our proxy.\n\n\nAdditionally, considering that business environment variables such as the ones included in the World\n\n\nBank’s Doing Business reports could be factors explaining higher returns to IT use over productivity, we in\n\ncluded an interaction of IT use with business environment variables such as the state Doing Business rankings\n\nfrom 2007 <sup>12</sup> and its components (ease of starting a business, ease of registering property, ease of enforcing a\n\n\ncontract, ease of obtaining credit) as well as distance to the U.S. border and financial inclusion (measured as\n\nthe number of ATMs for each 10,000 adults in 2009). <sup>13</sup> The results indicate that only the interaction with\n\n\nthe ease of enforcing contracts yields statistically significant results and only for the computers-per-worker\n\n\nand share of labor with computer variables. This is a research line that should be analyzed further using\n\n\ndifferent data sources.\n\n\nAs a robustness test of the interaction between IT use and Chinese competition, we considered\n\n\ncompetition in the U.S. market instead of the domestic measure of competition. The rationale behind this\n\n\nrobustness test is that firms may not be facing pressure from Chinese competition in their domestic market\n\n\nbut in the U.S. market and that should lead to the same kind of heterogeneity. As Table 11 shows, the\n\n\neffects are smaller but in the same direction as the ones observed in Table 10. Additionally the coefficients\n\n\nassociated to Chinese competition solely are no longer significant, indicating that Chinese\n\nMention: \"number of ATMs for each 10,000 adults in 2009\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"ATM availability per adult measures financial inclusion in interaction models of IT use and productivity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006604:16:0", "occurrence_id": "9caf46e17c80fb44da2bd590", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Source: ECVH (2001), EEEI (2007) and ECVMAS (2012) – authors’ calculations. Note: The graph presents the marginal changes (point estimate\nand 95 percent confidence interval) in underemployment in 2012, using 2007 as a baseline, on a probit model. Regression also controls for age\n(quadratic form) and household size.\n\n\nUltimately, and in spite of the cataclysmic shock experienced in 2010, the analysis of the evolution of labor\nmarkets in Haiti finds few changes. Those changes are primarily due to the dynamics of the post-earthquake\nreconstruction, such as a temporary expansion of the labor demand in the construction and NGO sectors.\nOverall, Haitian labor markets are characterized by long-term stagnation. Acute challenges continue to\nimpede Haitian labor markets’ ability to improve the welfare of the country’s people. With labor income a\nkey vector of poverty reduction, the next section investigates its determinants in urban settings.\n\n##### **II. Shining Light on the Determinants of Labor Income in Urban Areas** **(2007-2012)**\n\n\nWhile the definition of urban areas can be hard to reconcile, there is little denying that Haiti is rapidly\nurbanizing. <sup>10</sup> [^10: The _Haiti Poverty Assessment_ (World Bank, 2014a) found that 52 percent of Haitians lived in a rural setting in\n2012, while UN data used by Glaeser (2013) refer to a 53 percent of the population as urban in 2011, with urban areas\novertaking rural ones around 2008/9.] The World Bank’s World Development Indicators (WDI) for Haiti, show an urbanization rate\nof over 57 percent by 2014 (World Bank, 2015) and the UN demographic forecasts that Haiti’s urbanization\nrate will expand to 76 percent by 2050, when cities will host nearly 11 of the 14.3 million inhabitants\n(United Nations, 2014). While rural areas continue to remain important – especially for poverty reduction\n\n- urban areas are sure to play\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"WDI urbanization data provide context on Haiti’s changing urban population.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006604:16:0", "occurrence_id": "5ea790cb8096f5c5fbdf2fa2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Source: ECVH (2001), EEEI (2007) and ECVMAS (2012) – authors’ calculations. Note: The graph presents the marginal changes (point estimate\nand 95 percent confidence interval) in underemployment in 2012, using 2007 as a baseline, on a probit model. Regression also controls for age\n(quadratic form) and household size.\n\n\nUltimately, and in spite of the cataclysmic shock experienced in 2010, the analysis of the evolution of labor\nmarkets in Haiti finds few changes. Those changes are primarily due to the dynamics of the post-earthquake\nreconstruction, such as a temporary expansion of the labor demand in the construction and NGO sectors.\nOverall, Haitian labor markets are characterized by long-term stagnation. Acute challenges continue to\nimpede Haitian labor markets’ ability to improve the welfare of the country’s people. With labor income a\nkey vector of poverty reduction, the next section investigates its determinants in urban settings.\n\n##### **II. Shining Light on the Determinants of Labor Income in Urban Areas** **(2007-2012)**\n\n\nWhile the definition of urban areas can be hard to reconcile, there is little denying that Haiti is rapidly\nurbanizing. <sup>10</sup> [^10: The _Haiti Poverty Assessment_ (World Bank, 2014a) found that 52 percent of Haitians lived in a rural setting in\n2012, while UN data used by Glaeser (2013) refer to a 53 percent of the population as urban in 2011, with urban areas\novertaking rural ones around 2008/9.] The World Bank’s World Development Indicators (WDI) for Haiti, show an urbanization rate\nof over 57 percent by 2014 (World Bank, 2015) and the UN demographic forecasts that Haiti’s urbanization\nrate will expand to 76 percent by 2050, when cities will host nearly 11 of the 14.3 million inhabitants\n(United Nations, 2014). While rural areas continue to remain important – especially for poverty reduction\n\n- urban areas are sure to play\n\nMention: \"ECVH (2001)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ECVH survey data contribute to labor-market and underemployment analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006604:16:0", "occurrence_id": "ee9c10ab64535ffa0038ccd1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Source: ECVH (2001), EEEI (2007) and ECVMAS (2012) – authors’ calculations. Note: The graph presents the marginal changes (point estimate\nand 95 percent confidence interval) in underemployment in 2012, using 2007 as a baseline, on a probit model. Regression also controls for age\n(quadratic form) and household size.\n\n\nUltimately, and in spite of the cataclysmic shock experienced in 2010, the analysis of the evolution of labor\nmarkets in Haiti finds few changes. Those changes are primarily due to the dynamics of the post-earthquake\nreconstruction, such as a temporary expansion of the labor demand in the construction and NGO sectors.\nOverall, Haitian labor markets are characterized by long-term stagnation. Acute challenges continue to\nimpede Haitian labor markets’ ability to improve the welfare of the country’s people. With labor income a\nkey vector of poverty reduction, the next section investigates its determinants in urban settings.\n\n##### **II. Shining Light on the Determinants of Labor Income in Urban Areas** **(2007-2012)**\n\n\nWhile the definition of urban areas can be hard to reconcile, there is little denying that Haiti is rapidly\nurbanizing. <sup>10</sup> [^10: The _Haiti Poverty Assessment_ (World Bank, 2014a) found that 52 percent of Haitians lived in a rural setting in\n2012, while UN data used by Glaeser (2013) refer to a 53 percent of the population as urban in 2011, with urban areas\novertaking rural ones around 2008/9.] The World Bank’s World Development Indicators (WDI) for Haiti, show an urbanization rate\nof over 57 percent by 2014 (World Bank, 2015) and the UN demographic forecasts that Haiti’s urbanization\nrate will expand to 76 percent by 2050, when cities will host nearly 11 of the 14.3 million inhabitants\n(United Nations, 2014). While rural areas continue to remain important – especially for poverty reduction\n\n- urban areas are sure to play\n\nMention: \"EEEI (2007)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EEEI survey data contribute to labor-market and underemployment analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006604:16:0", "occurrence_id": "1aad5350858c31de9b60a319", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Source: ECVH (2001), EEEI (2007) and ECVMAS (2012) – authors’ calculations. Note: The graph presents the marginal changes (point estimate\nand 95 percent confidence interval) in underemployment in 2012, using 2007 as a baseline, on a probit model. Regression also controls for age\n(quadratic form) and household size.\n\n\nUltimately, and in spite of the cataclysmic shock experienced in 2010, the analysis of the evolution of labor\nmarkets in Haiti finds few changes. Those changes are primarily due to the dynamics of the post-earthquake\nreconstruction, such as a temporary expansion of the labor demand in the construction and NGO sectors.\nOverall, Haitian labor markets are characterized by long-term stagnation. Acute challenges continue to\nimpede Haitian labor markets’ ability to improve the welfare of the country’s people. With labor income a\nkey vector of poverty reduction, the next section investigates its determinants in urban settings.\n\n##### **II. Shining Light on the Determinants of Labor Income in Urban Areas** **(2007-2012)**\n\n\nWhile the definition of urban areas can be hard to reconcile, there is little denying that Haiti is rapidly\nurbanizing. <sup>10</sup> [^10: The _Haiti Poverty Assessment_ (World Bank, 2014a) found that 52 percent of Haitians lived in a rural setting in\n2012, while UN data used by Glaeser (2013) refer to a 53 percent of the population as urban in 2011, with urban areas\novertaking rural ones around 2008/9.] The World Bank’s World Development Indicators (WDI) for Haiti, show an urbanization rate\nof over 57 percent by 2014 (World Bank, 2015) and the UN demographic forecasts that Haiti’s urbanization\nrate will expand to 76 percent by 2050, when cities will host nearly 11 of the 14.3 million inhabitants\n(United Nations, 2014). While rural areas continue to remain important – especially for poverty reduction\n\n- urban areas are sure to play\n\nMention: \"ECVMAS (2012)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ECVMAS survey data contribute to labor-market and underemployment analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006604:16:0", "occurrence_id": "b958968f656736a1669de46b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Source: ECVH (2001), EEEI (2007) and ECVMAS (2012) – authors’ calculations. Note: The graph presents the marginal changes (point estimate\nand 95 percent confidence interval) in underemployment in 2012, using 2007 as a baseline, on a probit model. Regression also controls for age\n(quadratic form) and household size.\n\n\nUltimately, and in spite of the cataclysmic shock experienced in 2010, the analysis of the evolution of labor\nmarkets in Haiti finds few changes. Those changes are primarily due to the dynamics of the post-earthquake\nreconstruction, such as a temporary expansion of the labor demand in the construction and NGO sectors.\nOverall, Haitian labor markets are characterized by long-term stagnation. Acute challenges continue to\nimpede Haitian labor markets’ ability to improve the welfare of the country’s people. With labor income a\nkey vector of poverty reduction, the next section investigates its determinants in urban settings.\n\n##### **II. Shining Light on the Determinants of Labor Income in Urban Areas** **(2007-2012)**\n\n\nWhile the definition of urban areas can be hard to reconcile, there is little denying that Haiti is rapidly\nurbanizing. <sup>10</sup> [^10: The _Haiti Poverty Assessment_ (World Bank, 2014a) found that 52 percent of Haitians lived in a rural setting in\n2012, while UN data used by Glaeser (2013) refer to a 53 percent of the population as urban in 2011, with urban areas\novertaking rural ones around 2008/9.] The World Bank’s World Development Indicators (WDI) for Haiti, show an urbanization rate\nof over 57 percent by 2014 (World Bank, 2015) and the UN demographic forecasts that Haiti’s urbanization\nrate will expand to 76 percent by 2050, when cities will host nearly 11 of the 14.3 million inhabitants\n(United Nations, 2014). While rural areas continue to remain important – especially for poverty reduction\n\n- urban areas are sure to play\n\nMention: \"Haiti Poverty Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Poverty assessment supplies a rural-population estimate for urbanization context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006604:16:0", "occurrence_id": "03cd7ec4d50e3e3fb7c2afe0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Source: ECVH (2001), EEEI (2007) and ECVMAS (2012) – authors’ calculations. Note: The graph presents the marginal changes (point estimate\nand 95 percent confidence interval) in underemployment in 2012, using 2007 as a baseline, on a probit model. Regression also controls for age\n(quadratic form) and household size.\n\n\nUltimately, and in spite of the cataclysmic shock experienced in 2010, the analysis of the evolution of labor\nmarkets in Haiti finds few changes. Those changes are primarily due to the dynamics of the post-earthquake\nreconstruction, such as a temporary expansion of the labor demand in the construction and NGO sectors.\nOverall, Haitian labor markets are characterized by long-term stagnation. Acute challenges continue to\nimpede Haitian labor markets’ ability to improve the welfare of the country’s people. With labor income a\nkey vector of poverty reduction, the next section investigates its determinants in urban settings.\n\n##### **II. Shining Light on the Determinants of Labor Income in Urban Areas** **(2007-2012)**\n\n\nWhile the definition of urban areas can be hard to reconcile, there is little denying that Haiti is rapidly\nurbanizing. <sup>10</sup> [^10: The _Haiti Poverty Assessment_ (World Bank, 2014a) found that 52 percent of Haitians lived in a rural setting in\n2012, while UN data used by Glaeser (2013) refer to a 53 percent of the population as urban in 2011, with urban areas\novertaking rural ones around 2008/9.] The World Bank’s World Development Indicators (WDI) for Haiti, show an urbanization rate\nof over 57 percent by 2014 (World Bank, 2015) and the UN demographic forecasts that Haiti’s urbanization\nrate will expand to 76 percent by 2050, when cities will host nearly 11 of the 14.3 million inhabitants\n(United Nations, 2014). While rural areas continue to remain important – especially for poverty reduction\n\n- urban areas are sure to play\n\nMention: \"UN data used by Glaeser (2013)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"UN data provide a separate estimate of Haiti’s urban population share.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006604:16:0", "occurrence_id": "0a552c458873e226d2655662", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Source: ECVH (2001), EEEI (2007) and ECVMAS (2012) – authors’ calculations. Note: The graph presents the marginal changes (point estimate\nand 95 percent confidence interval) in underemployment in 2012, using 2007 as a baseline, on a probit model. Regression also controls for age\n(quadratic form) and household size.\n\n\nUltimately, and in spite of the cataclysmic shock experienced in 2010, the analysis of the evolution of labor\nmarkets in Haiti finds few changes. Those changes are primarily due to the dynamics of the post-earthquake\nreconstruction, such as a temporary expansion of the labor demand in the construction and NGO sectors.\nOverall, Haitian labor markets are characterized by long-term stagnation. Acute challenges continue to\nimpede Haitian labor markets’ ability to improve the welfare of the country’s people. With labor income a\nkey vector of poverty reduction, the next section investigates its determinants in urban settings.\n\n##### **II. Shining Light on the Determinants of Labor Income in Urban Areas** **(2007-2012)**\n\n\nWhile the definition of urban areas can be hard to reconcile, there is little denying that Haiti is rapidly\nurbanizing. <sup>10</sup> [^10: The _Haiti Poverty Assessment_ (World Bank, 2014a) found that 52 percent of Haitians lived in a rural setting in\n2012, while UN data used by Glaeser (2013) refer to a 53 percent of the population as urban in 2011, with urban areas\novertaking rural ones around 2008/9.] The World Bank’s World Development Indicators (WDI) for Haiti, show an urbanization rate\nof over 57 percent by 2014 (World Bank, 2015) and the UN demographic forecasts that Haiti’s urbanization\nrate will expand to 76 percent by 2050, when cities will host nearly 11 of the 14.3 million inhabitants\n(United Nations, 2014). While rural areas continue to remain important – especially for poverty reduction\n\n- urban areas are sure to play\n\nMention: \"United Nations, 2014\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"United Nations demographic forecasts project Haiti’s urbanization through 2050.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006689:11:1", "occurrence_id": "3e5361d69d8f40bbaf0b60a7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  examine whether market prices in La Paz are driven by external forces that are\n\n\nexogenous to supply factors in the vicinity of La Paz, we use the SNIIM to obtain market prices\n\n\nfrom La Nueva Viga, a large national fish market in Mexico City connecting sources to\n\n\ndistributors. The La Nueva Viga data contain information on marine fish, crustaceans, freshwater\n\n\nfish, and mollusks/others. B.C.S. is listed as a source only for the fourth category. This, coupled\n\n\nwith the fact that other sources of La Nueva Viga catch have only a partial overlap of species with\n\n\nLa Paz, limits the number of species that can be matched to the logbook data. In cases where a\n\n\nmarket price is not available for a particular date in the logbook, the average price for the\n\n\ncorresponding week or month is again used. All cooperative and market prices are converted into\n\n\n2010 Mexican pesos using a Consumer Price Index obtained from the OECD.\n\n\nWe aim to understand how cooperative pricing responds to natural variation that alters\n\n\npopulation growth rates. The Oceanic Niño Index (ONI) is a three-month running mean of an\n\n\n5. Available at http://www.economia-sniim.gob.mx/i_default.asp.\n\n1\n\nMention: \"SNIIM\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SNIIM market-price series from La Nueva Viga supply prices for fish categories used in the La Paz analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006689:11:1", "occurrence_id": "ae76d876dbcc2935b355f143", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  examine whether market prices in La Paz are driven by external forces that are\n\n\nexogenous to supply factors in the vicinity of La Paz, we use the SNIIM to obtain market prices\n\n\nfrom La Nueva Viga, a large national fish market in Mexico City connecting sources to\n\n\ndistributors. The La Nueva Viga data contain information on marine fish, crustaceans, freshwater\n\n\nfish, and mollusks/others. B.C.S. is listed as a source only for the fourth category. This, coupled\n\n\nwith the fact that other sources of La Nueva Viga catch have only a partial overlap of species with\n\n\nLa Paz, limits the number of species that can be matched to the logbook data. In cases where a\n\n\nmarket price is not available for a particular date in the logbook, the average price for the\n\n\ncorresponding week or month is again used. All cooperative and market prices are converted into\n\n\n2010 Mexican pesos using a Consumer Price Index obtained from the OECD.\n\n\nWe aim to understand how cooperative pricing responds to natural variation that alters\n\n\npopulation growth rates. The Oceanic Niño Index (ONI) is a three-month running mean of an\n\n\n5. Available at http://www.economia-sniim.gob.mx/i_default.asp.\n\n1\n\nMention: \"La Nueva Viga data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"La Nueva Viga price data cover marine fish, crustaceans, freshwater fish, and mollusks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006689:11:1", "occurrence_id": "425eae4f0205ddb4312d9f4a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  examine whether market prices in La Paz are driven by external forces that are\n\n\nexogenous to supply factors in the vicinity of La Paz, we use the SNIIM to obtain market prices\n\n\nfrom La Nueva Viga, a large national fish market in Mexico City connecting sources to\n\n\ndistributors. The La Nueva Viga data contain information on marine fish, crustaceans, freshwater\n\n\nfish, and mollusks/others. B.C.S. is listed as a source only for the fourth category. This, coupled\n\n\nwith the fact that other sources of La Nueva Viga catch have only a partial overlap of species with\n\n\nLa Paz, limits the number of species that can be matched to the logbook data. In cases where a\n\n\nmarket price is not available for a particular date in the logbook, the average price for the\n\n\ncorresponding week or month is again used. All cooperative and market prices are converted into\n\n\n2010 Mexican pesos using a Consumer Price Index obtained from the OECD.\n\n\nWe aim to understand how cooperative pricing responds to natural variation that alters\n\n\npopulation growth rates. The Oceanic Niño Index (ONI) is a three-month running mean of an\n\n\n5. Available at http://www.economia-sniim.gob.mx/i_default.asp.\n\n1\n\nMention: \"Consumer Price Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"CPI used to convert cooperative and market prices into 2010 Mexican pesos.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006689:11:1", "occurrence_id": "e856a2c65c1584fba2718fd9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  examine whether market prices in La Paz are driven by external forces that are\n\n\nexogenous to supply factors in the vicinity of La Paz, we use the SNIIM to obtain market prices\n\n\nfrom La Nueva Viga, a large national fish market in Mexico City connecting sources to\n\n\ndistributors. The La Nueva Viga data contain information on marine fish, crustaceans, freshwater\n\n\nfish, and mollusks/others. B.C.S. is listed as a source only for the fourth category. This, coupled\n\n\nwith the fact that other sources of La Nueva Viga catch have only a partial overlap of species with\n\n\nLa Paz, limits the number of species that can be matched to the logbook data. In cases where a\n\n\nmarket price is not available for a particular date in the logbook, the average price for the\n\n\ncorresponding week or month is again used. All cooperative and market prices are converted into\n\n\n2010 Mexican pesos using a Consumer Price Index obtained from the OECD.\n\n\nWe aim to understand how cooperative pricing responds to natural variation that alters\n\n\npopulation growth rates. The Oceanic Niño Index (ONI) is a three-month running mean of an\n\n\n5. Available at http://www.economia-sniim.gob.mx/i_default.asp.\n\n1\n\nMention: \"Oceanic Niño Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Oceanic Niño Index represents natural variation used to study changes in fish populations and cooperative pricing.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006710:21:1", "occurrence_id": "12ddce0278cb8f83780c5762", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \ntools of digital literacy (and maybe even ‘digital values’). While this issue touches on\nbroader education and development policy, here we focus on “creative natives” — folks\ninvolved in the field of creative work. The strategies outlined below could be implemented\n\n\n66 Ibid.\n67 “Usage and Population Stats,” Internet World Stats, accessed March 30, 2015,\n<u>http://www.internetworldstats.com/stats.htm.</u>\n\n             - NB: “The literature is inconsistent in its use of the term “digital literacy”; some restrict the concept\nto the technical aspects of operating in digital environments, while others apply it in the context of cognitive\nand socio-emotional aspects of work in a computer environment.” — Yoram Eshet-Alkala, “Digital Literacy:\nA Conceptual Framework for Survival Skills in the Digital Era,” _Educational Multimedia and Hypermedia_\n13, no. 1 (2004): 93-106, accessed March 31, 2015, <u>http://www.openu.ac.il/Personal_sites/download/Digital-</u>\n<u>literacy2004-JEMH.pdf.</u>\n\n68 See also Patrick Kabanda, “Music for Development in the Digital age.”\n\n\n20\n\nMention: \"Usage and Population Stats\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Cited online population and usage statistics provide context for discussion of digital literacy and creative work.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006713:3:1", "occurrence_id": "bc07d24c48ae74cbd69ba27f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  more productive\n\n\nfirms can afford to enter export markets, choose to produce on average higher quality products,\n\n\nand hire on average a higher share of engineers relative to blue-collar workers than less productive,\n\n\nnon-exporting firms.\n\n\nTo test these predictions, the empirical analysis exploits detailed information of firms’ demand\n\n\nfor different tasks contained in the Chilean Encuesta Nacional Industrial Anual (ENIA). The results\n\n\nfrom an instrumental variable estimator show that Chilean exporters indeed utilize a higher share\n\n\nof engineers over blue-collar workers than non-exporting firms. The results provide causal evidence\n\n\nof the skilled tasks demanded by exporters relative to non-exporters in Chile.\n\n\nThe rest of the paper is organized as follows. Section 2 sketches a simple model of exports,\n\n\nquality, and the demand for engineers and blue-collar workers. Section 3 discusses the main\n\n\nempirical results. Section 4 concludes.\n\n\n2\n\nMention: \"Chilean Encuesta Nacional Industrial Anual (ENIA)\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Industrial survey data on firms’ task demand support comparisons of engineers and blue-collar workers in exporting firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006722:6:0", "occurrence_id": "054bf93bbac8e28cf2b58102", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: addition to tangible innovation inputs‐ such as technology, equipment, and physical production facilities,\n\n\ninnovation requires intangible assets such as human capital, scientific and creative capital and, more\n\n\nimportantly, managerial and organizational capital. These inputs require in turn specific innovation\n\n\nactivities depending on the degree of novelty and technology sophistication of the innovations\n\n\nintroduced. Firms invest in training in order to increase their human capital available. In addition, firms\n\n\ncan also invest in R&D, software and digitalization or copyrights, patents and licenses, and equipment in\n\n\norder to increase their scientific or innovative capital. Finally, innovation also requires organizational\n\n\ncapital through adoption of new business models, design and prototyping or corporate alliances and\n\n\nnetworks. There is, however, uncertainty about the outcomes that can be achieved with the combination\n\n\nof inputs as innovation outcomes depend on each firm’s ability, the sector and country context, and the\n\n\nenabling environment and policy framework.\n\n\nWhen measuring innovation, the emphasis can be on measuring inputs and innovation activities and/or\n\n\ninnovation outcomes. The earlier literature on innovation measurement focused on a specific set of\n\n\ninnovation inputs that were more easily quantifiable, such as R&D or the technological intensity used.\n\n\nThese early efforts were subsequently complemented with the framework provided by the Oslo manual,\n\n\ncurrently the main reference for innovation surveys, which mainly focuses on measuring innovation\n\n\noutcomes such as new products and/or processes, product and process improvements or patents at the\n\n\nfirm level (OECD/EUROSTAT, 2015). A third generation of synthetic innovation indicators, such as the\n\n\nOECD STI scoreboard, was developed later on. These indicators combine innovation inputs and outputs in\n\n\norder to facilitate cross‐country benchmarking and comparisons (OECD, 2015). However, to date, the Oslo\n\n\nmanual framework, implemented originally through the Community Innovation Surveys (CIS) in the EU,\n\n\nhas dominated innovation measurement in most countries, to the extent that even countries that do not\n\n\nconduct CIS have adopted the same questions at least in relation to the measurement of innovation\n\nMention: \"OECD STI scoreboard\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"OECD STI scoreboard combines innovation inputs and outputs for cross-country benchmarking.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006722:6:0", "occurrence_id": "d8ac64f60da2782b30f35f98", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: addition to tangible innovation inputs‐ such as technology, equipment, and physical production facilities,\n\n\ninnovation requires intangible assets such as human capital, scientific and creative capital and, more\n\n\nimportantly, managerial and organizational capital. These inputs require in turn specific innovation\n\n\nactivities depending on the degree of novelty and technology sophistication of the innovations\n\n\nintroduced. Firms invest in training in order to increase their human capital available. In addition, firms\n\n\ncan also invest in R&D, software and digitalization or copyrights, patents and licenses, and equipment in\n\n\norder to increase their scientific or innovative capital. Finally, innovation also requires organizational\n\n\ncapital through adoption of new business models, design and prototyping or corporate alliances and\n\n\nnetworks. There is, however, uncertainty about the outcomes that can be achieved with the combination\n\n\nof inputs as innovation outcomes depend on each firm’s ability, the sector and country context, and the\n\n\nenabling environment and policy framework.\n\n\nWhen measuring innovation, the emphasis can be on measuring inputs and innovation activities and/or\n\n\ninnovation outcomes. The earlier literature on innovation measurement focused on a specific set of\n\n\ninnovation inputs that were more easily quantifiable, such as R&D or the technological intensity used.\n\n\nThese early efforts were subsequently complemented with the framework provided by the Oslo manual,\n\n\ncurrently the main reference for innovation surveys, which mainly focuses on measuring innovation\n\n\noutcomes such as new products and/or processes, product and process improvements or patents at the\n\n\nfirm level (OECD/EUROSTAT, 2015). A third generation of synthetic innovation indicators, such as the\n\n\nOECD STI scoreboard, was developed later on. These indicators combine innovation inputs and outputs in\n\n\norder to facilitate cross‐country benchmarking and comparisons (OECD, 2015). However, to date, the Oslo\n\n\nmanual framework, implemented originally through the Community Innovation Surveys (CIS) in the EU,\n\n\nhas dominated innovation measurement in most countries, to the extent that even countries that do not\n\n\nconduct CIS have adopted the same questions at least in relation to the measurement of innovation\n\nMention: \"Community Innovation Surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Community Innovation Surveys implement the Oslo Manual framework in EU countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006726:7:0", "occurrence_id": "8fd8d7cee215dc91f42823f4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: averaged 0.81 in 2000-2013. Even by SSA standard (which has an average index of 0.60), DRC’s\n\n\nproduct concentration is very high.\n\n\n\n**Figure 4. Export Market Concentration Index**\n\n\n\n**Figure 4. Export Market Concentration Index** **Figure 5. Export Product Concentration Index**\n\n**2000-2013** **2000-2013**\n\n\n\n**2000-2013**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSource: calculated using data from UNCTAD database. Source: calculated using data from UNCTAD database.\n\n**III-** **Export Concentration, Exogenous Shocks, and Volatility in DRC**\n\n\n9. **As the 2007–2008 crisis hit the world and global demand and international prices**\n\n\n**collapsed, export receipts in DRC declined sharply.** In 2009, DRC’s export earnings declined\n\n\nby more than 28 percent, which is equivalent to US$933 million or 6.4 percent of GDP and led to\n\n\na quick deterioration in the trade-in-goods balance which decreased from a 5.4 percent of GDP\n\n\nsurplus in 2007 to a 3.5 percent deficit in 2009. DRC was much more impacted than other SSA\n\n\ncountries. Indeed, for SSA as a whole, export receipts fell by 15 percent, but DRC was among the\n\n\nfew countries that registered the biggest losses (see Figure 6). Without the diversification away\n\n\nfrom the EU27 towards China, the impact of the financial crisis on DRC would have been harder.\n\n\nIn fact, as a consequence of the global turmoil, DRC’s exports to the EU27 declined from 47\n\n\npercent of total exports to 29 percent in 2009, while exports to China increased from 22 percent to\n\n\n42 percent. However, DRC is now much more exposed to the fluctuations of China’s economy.\n\n\n6\n\nMention: \"UNCTAD database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UNCTAD database provides export data used to calculate market and product concentration indexes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006748:17:1", "occurrence_id": "e86f67d7feea26f1853e1f44", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  summer temperatures is likely to cause an increase of energy\nconsumed for cooling purposes, depending on the latitude of the country (i.e., tropical, temperate,\ncold).\nIn what follows, the impact of increasing average temperature on energy demand is computed, taking\ninto account all these factors.\n\n\n_7.1 Methodology_\n\nOur estimates are based on De Cian, Lanzi and Roson (2013), who computed parameters of a model\nfor household energy demand, by energy source and season, using econometric techniques and a global\npanel database. Energy demand is expressed as dependent, among other factors, on the (natural\nlogarithm of) seasonal average temperature, expressed in °F.\nSeasonal long run temperature elasticities by energy source and by climate region (Table 4) are those\nestimated by De Cian, Lanzi and Roson (2013.). Since we are interested in the variation of total energy\ndemand, elasticities in Table 4 have been scaled down by considering the share of energy used for\nheating and cooling purposes (Table 5). The adjusted elasticities are shown in Table 6.\nData on average seasonal temperature by country are obtained from the Weather Database\n[(www.weatherbase.com), whereas each country has been classified as Cold, Mild or Hot, according to](http://www.wheaterbase.com/)\nits latitude. <sup>3</sup> [^3: Hot countries: latitude<27°; mild countries: 27°<latitude<63°; cold countries: latitude>63°. For aggregated regions the\nlatitude has been computed as a weighted sum of the latitude of each single country.] Applying the model estimated by De Cian, Lanzi and Roson (2013), to the percentage\nvariation in temperature corresponding to 1°C (and 2, 3, 4, 5°C) increase in seasonal average\ntemperature has been multiplied by the elasticities reported in Table 6.\n\n\n3 Hot countries: latitude<27°; mild\n\nMention: \"Data on average seasonal temperature by country\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Country-level seasonal temperature series are inputs to estimates of household energy demand responses.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006748:17:1", "occurrence_id": "8b88c5713bb0e0d8e7a939bf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  summer temperatures is likely to cause an increase of energy\nconsumed for cooling purposes, depending on the latitude of the country (i.e., tropical, temperate,\ncold).\nIn what follows, the impact of increasing average temperature on energy demand is computed, taking\ninto account all these factors.\n\n\n_7.1 Methodology_\n\nOur estimates are based on De Cian, Lanzi and Roson (2013), who computed parameters of a model\nfor household energy demand, by energy source and season, using econometric techniques and a global\npanel database. Energy demand is expressed as dependent, among other factors, on the (natural\nlogarithm of) seasonal average temperature, expressed in °F.\nSeasonal long run temperature elasticities by energy source and by climate region (Table 4) are those\nestimated by De Cian, Lanzi and Roson (2013.). Since we are interested in the variation of total energy\ndemand, elasticities in Table 4 have been scaled down by considering the share of energy used for\nheating and cooling purposes (Table 5). The adjusted elasticities are shown in Table 6.\nData on average seasonal temperature by country are obtained from the Weather Database\n[(www.weatherbase.com), whereas each country has been classified as Cold, Mild or Hot, according to](http://www.wheaterbase.com/)\nits latitude. <sup>3</sup> [^3: Hot countries: latitude<27°; mild countries: 27°<latitude<63°; cold countries: latitude>63°. For aggregated regions the\nlatitude has been computed as a weighted sum of the latitude of each single country.] Applying the model estimated by De Cian, Lanzi and Roson (2013), to the percentage\nvariation in temperature corresponding to 1°C (and 2, 3, 4, 5°C) increase in seasonal average\ntemperature has been multiplied by the elasticities reported in Table 6.\n\n\n3 Hot countries: latitude<27°; mild\n\nMention: \"Weather Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Weather Database supplies seasonal temperature observations used in the energy-demand model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006754:5:0", "occurrence_id": "960af5e77bdb7393bebfba2e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <u>Financial</u> <u>Regulation</u> <u>and</u> <u>Development</u>\n\n\ndefault. However, if the government imposes a minimum level of safe asset holding, which has a\n\ndeterministic return, this moderates both bank profits in the good state and losses in the bad state:\n\nit increases depositor repayment and stimulates more deposits. As a consequence, we show that bank\n\nprofits can rise if deposit growth exceeds the decline in the intermediation margin and loan provision.\n\nIn such a case, branch installation (financial development) also rises, as higher profitability leads to\n\nmore branch opening and provision of additional loans. In our model, financial regulation is valu\nable because of the timing assumption: banks are unable to convince depositors of their safe asset\n\ninvestment because of profit maximization and hence the government needs to create a commitment\nin holding safe assets. <sup>2</sup> This might be oversimplistic, but could represent, in a reduced form, the\n\ninability of depositors to actively monitor the financial system, and regulation could be interpreted\n\nas a public good lowering monitoring costs.\n\n\nWhile there exists substantial evidence on the beneficial effects of regulation on welfare (e.g.,\n\nLaffont and Tirole 1993; Glaeser and Shleifer 2001), we are the first to show empirically that financial\n\nregulation can promote financial development and that enhanced bank safety is the channel through\n\nwhich this takes place. Such policies have been implemented in several countries over the past\ncentury. <sup>3</sup> However, this issue has been difficult to study for a variety of reasons. To begin with, data\n\navailability on the banking industry in low-income countries is a severe limit: with the exception of\na few, yet incomplete, sources (i.e., the Bankscope database <sup>4</sup> ), most\n\nMention: \"the Bankscope database\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Bankscope is cited as one of the few, incomplete sources of banking-industry data in low-income countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006749:25:1", "occurrence_id": "5719886e99f70d213ad3d4d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and Wheeler (2010) updated by Jedwab and\n\nStoreygard (2016). A highway is a paved road with at least three lanes on each side. An improved road is laterite or gravel. The category\n‘other’ include and any segment not identified as a highway, a paved road, or an improved road, especially dirt roads.\nSource: Jedwab and Storeygard (2016). Calculations by authors.\n\n\n**Table A3: Average change in the natural logarithm of the market access index**\n\n\nAverage change in the natural logarithm\n\n<u>of the market access index</u>\n<u>Due to roads</u> <u>Due to population</u> <u>Overall</u>\n2000-2005 0.007 0.028 0.034\n1990-2000 0.006 0.056 0.062\n1980-1990 0.031 0.064 0.094\n<u>1970-1980</u> <u>0.031</u> <u>0.068</u> <u>0.099</u>\n\nNote: Values in this table are averages of values at the cell level (approximately 10 km  10 km).\nSource: HYDE 3.1; calculation by authors.\n\n\n24\n\nMention: \"HYDE 3.1\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"HYDE spatial population data support calculation of road- and population-driven market-access changes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006749:25:1", "occurrence_id": "d268ea202892261639c4b686", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and Wheeler (2010) updated by Jedwab and\n\nStoreygard (2016). A highway is a paved road with at least three lanes on each side. An improved road is laterite or gravel. The category\n‘other’ include and any segment not identified as a highway, a paved road, or an improved road, especially dirt roads.\nSource: Jedwab and Storeygard (2016). Calculations by authors.\n\n\n**Table A3: Average change in the natural logarithm of the market access index**\n\n\nAverage change in the natural logarithm\n\n<u>of the market access index</u>\n<u>Due to roads</u> <u>Due to population</u> <u>Overall</u>\n2000-2005 0.007 0.028 0.034\n1990-2000 0.006 0.056 0.062\n1980-1990 0.031 0.064 0.094\n<u>1970-1980</u> <u>0.031</u> <u>0.068</u> <u>0.099</u>\n\nNote: Values in this table are averages of values at the cell level (approximately 10 km  10 km).\nSource: HYDE 3.1; calculation by authors.\n\n\n24\n\nMention: \"Jedwab and Storeygard (2016)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Road-network information from Jedwab and Storeygard supports market-access calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006756:23:0", "occurrence_id": "3eb3c5db104ea7bb1388dc4c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 6: Sundarbans** **_upazila_** **s: poverty status (lower poverty line)**\n\n\nWe assess the implication of projected mangrove migration for poor communities by\n\n\ncomputing changes at the _upazila_ level for 27 climate scenarios. Table 5 summarizes the results\n\n\nfor five dominant mangrove species. Here it is worth recalling that all five _upazila_ s are poor by\n\n\nnational standards, but Shyamnagar and Koyra are the poorest and most populous (Table 4). For\n\n\n_Heritiera fomes_ (Sundri), the most valuable <sup>16</sup> species overall, the negative impact is concentrated\n\n\nin Koyra, with a median decline of 58.0%. However, this is at least partly offset by significant\n\n\nincreases in _Avicennia alba, marina, officinalis_ (Baen) (45.6%), _Excoecaria agallocha_ (Gewa)\n\n\n(20.0%) and _Ceriops decandra_ (Goran) (20.0%). In contrast, Shyamnagar has very large declines\n\n\n16 The estimated price of Sundri-equivalent-timber BDT 41,890/ m3, and the price of other species is BDT.2,375/m3\n(Data Source: Economic and Financial Analysis of the Ganges Barrages Study Project).\n\n\n22\n\nMention: \"Ganges Barrages Study Project\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Economic and Financial Analysis of the Ganges Barrages Study Project supplies timber-price data used to value mangrove changes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006783:13:0", "occurrence_id": "b471b3ac7c5fcf2ad8379451", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: scorecard treatment (“true” announcement), and half of the groups assigned to control (“false”\n\n\nannouncement). This provides a “placebo” where the FOs are told that scorecards might\n\n\nhappen but in fact do not. Comparing announcement to no announcement within the\n\n\nscorecard treatment provides a test of the extent to which awareness of the scorecards can\n\n\nitself boost efforts of the FO in training these specific farmers groups, while additionally\n\n\ncomparing true and false announcement tells us about FOs’ ability to observe the scorecards.\n\n\nWhile we control for logbook treatment assignment dummies in our analysis of the\n\n\nannouncement effect, we are not powered to study their interactions.\n\n\n3.1 Data\n\n\nWe use two sources of data: administrative data from our partner NGO, OAF, and survey\n\n\ndata administered on a random subset of our study sample. First, we exploit OAF’s\n\n\nadministrative client database for two years, 2013 and 2014. The client database includes\n\n\nthe names of all farmers who register for OAF membership in the season, the name of the\n\n\ngroup to which the farmer belongs, the OAF Field Officer and Field Manager responsible for\n\n\nthe group, the total amount of credit requested by the client, the quantity requested of specific\n\n\nagricultural inputs, <sup>19</sup> [^19: OAF offers DAP, NPK-17, NPK-22, and Urea.] the number of repayments, and the proportion of the loan repaid. We\n\n\nuse the 2013 client database as our sample frame. We track whether these farmers continue\n\n\nwith the service by merging with the 2014 client database. If a client in 2013 does not register\n\n\nfor the service in 2014, she is considered a dropout. If a farmer was not on the client list in\n\n\n2013A, but registers in 2014, we consider her to be a new member. Some clients registered\n\n\nin 2013 (in and outside our study sample) switch farmer group in 2014; we do not consider\n\n\nthese farmers to be either dropouts or new members. Hence, we report changes in\n\n\nmembership\n\nMention: \"OAF’s\n\n\nadministrative client database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Client records track farmer membership, credit requests, agricultural inputs, and repayment behavior.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006783:13:0", "occurrence_id": "f8ea9590c7fbf5baba93a71a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: scorecard treatment (“true” announcement), and half of the groups assigned to control (“false”\n\n\nannouncement). This provides a “placebo” where the FOs are told that scorecards might\n\n\nhappen but in fact do not. Comparing announcement to no announcement within the\n\n\nscorecard treatment provides a test of the extent to which awareness of the scorecards can\n\n\nitself boost efforts of the FO in training these specific farmers groups, while additionally\n\n\ncomparing true and false announcement tells us about FOs’ ability to observe the scorecards.\n\n\nWhile we control for logbook treatment assignment dummies in our analysis of the\n\n\nannouncement effect, we are not powered to study their interactions.\n\n\n3.1 Data\n\n\nWe use two sources of data: administrative data from our partner NGO, OAF, and survey\n\n\ndata administered on a random subset of our study sample. First, we exploit OAF’s\n\n\nadministrative client database for two years, 2013 and 2014. The client database includes\n\n\nthe names of all farmers who register for OAF membership in the season, the name of the\n\n\ngroup to which the farmer belongs, the OAF Field Officer and Field Manager responsible for\n\n\nthe group, the total amount of credit requested by the client, the quantity requested of specific\n\n\nagricultural inputs, <sup>19</sup> [^19: OAF offers DAP, NPK-17, NPK-22, and Urea.] the number of repayments, and the proportion of the loan repaid. We\n\n\nuse the 2013 client database as our sample frame. We track whether these farmers continue\n\n\nwith the service by merging with the 2014 client database. If a client in 2013 does not register\n\n\nfor the service in 2014, she is considered a dropout. If a farmer was not on the client list in\n\n\n2013A, but registers in 2014, we consider her to be a new member. Some clients registered\n\n\nin 2013 (in and outside our study sample) switch farmer group in 2014; we do not consider\n\n\nthese farmers to be either dropouts or new members. Hence, we report changes in\n\n\nmembership\n\nMention: \"2013 client database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"2013 OAF client database provides the study’s sample frame.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006783:13:0", "occurrence_id": "15cde9b13d8ab45d745debfb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: scorecard treatment (“true” announcement), and half of the groups assigned to control (“false”\n\n\nannouncement). This provides a “placebo” where the FOs are told that scorecards might\n\n\nhappen but in fact do not. Comparing announcement to no announcement within the\n\n\nscorecard treatment provides a test of the extent to which awareness of the scorecards can\n\n\nitself boost efforts of the FO in training these specific farmers groups, while additionally\n\n\ncomparing true and false announcement tells us about FOs’ ability to observe the scorecards.\n\n\nWhile we control for logbook treatment assignment dummies in our analysis of the\n\n\nannouncement effect, we are not powered to study their interactions.\n\n\n3.1 Data\n\n\nWe use two sources of data: administrative data from our partner NGO, OAF, and survey\n\n\ndata administered on a random subset of our study sample. First, we exploit OAF’s\n\n\nadministrative client database for two years, 2013 and 2014. The client database includes\n\n\nthe names of all farmers who register for OAF membership in the season, the name of the\n\n\ngroup to which the farmer belongs, the OAF Field Officer and Field Manager responsible for\n\n\nthe group, the total amount of credit requested by the client, the quantity requested of specific\n\n\nagricultural inputs, <sup>19</sup> [^19: OAF offers DAP, NPK-17, NPK-22, and Urea.] the number of repayments, and the proportion of the loan repaid. We\n\n\nuse the 2013 client database as our sample frame. We track whether these farmers continue\n\n\nwith the service by merging with the 2014 client database. If a client in 2013 does not register\n\n\nfor the service in 2014, she is considered a dropout. If a farmer was not on the client list in\n\n\n2013A, but registers in 2014, we consider her to be a new member. Some clients registered\n\n\nin 2013 (in and outside our study sample) switch farmer group in 2014; we do not consider\n\n\nthese farmers to be either dropouts or new members. Hence, we report changes in\n\n\nmembership\n\nMention: \"2014 client database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"2014 database matches 2013 clients to identify continued service, dropouts, and new members.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006783:13:0", "occurrence_id": "7bfe8742b53448cf99c8b043", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: scorecard treatment (“true” announcement), and half of the groups assigned to control (“false”\n\n\nannouncement). This provides a “placebo” where the FOs are told that scorecards might\n\n\nhappen but in fact do not. Comparing announcement to no announcement within the\n\n\nscorecard treatment provides a test of the extent to which awareness of the scorecards can\n\n\nitself boost efforts of the FO in training these specific farmers groups, while additionally\n\n\ncomparing true and false announcement tells us about FOs’ ability to observe the scorecards.\n\n\nWhile we control for logbook treatment assignment dummies in our analysis of the\n\n\nannouncement effect, we are not powered to study their interactions.\n\n\n3.1 Data\n\n\nWe use two sources of data: administrative data from our partner NGO, OAF, and survey\n\n\ndata administered on a random subset of our study sample. First, we exploit OAF’s\n\n\nadministrative client database for two years, 2013 and 2014. The client database includes\n\n\nthe names of all farmers who register for OAF membership in the season, the name of the\n\n\ngroup to which the farmer belongs, the OAF Field Officer and Field Manager responsible for\n\n\nthe group, the total amount of credit requested by the client, the quantity requested of specific\n\n\nagricultural inputs, <sup>19</sup> [^19: OAF offers DAP, NPK-17, NPK-22, and Urea.] the number of repayments, and the proportion of the loan repaid. We\n\n\nuse the 2013 client database as our sample frame. We track whether these farmers continue\n\n\nwith the service by merging with the 2014 client database. If a client in 2013 does not register\n\n\nfor the service in 2014, she is considered a dropout. If a farmer was not on the client list in\n\n\n2013A, but registers in 2014, we consider her to be a new member. Some clients registered\n\n\nin 2013 (in and outside our study sample) switch farmer group in 2014; we do not consider\n\n\nthese farmers to be either dropouts or new members. Hence, we report changes in\n\n\nmembership\n\nMention: \"survey\n\n\ndata administered on a random subset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey data from a random subset of study participants measure program outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006802:54:0", "occurrence_id": "14ac85412b27156aa2f4b4cb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure A.4. NIRP announcements: changes in EMDE financial variables up to one month**\n\n\n**A. Bond spreads** **B. Nominal effective exchange rates**\n\n\n\nPercent\n\n40 Median\n\n30\n\n20\n\n10\n\n0\n\n-10\n\n-20\n\n-30\n\n\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\n\nPercent\n\n3\n\nMedian\n\n2\n\n1\n\n0\n\n-1\n\n-2\n\n-3\n\n-4\n\n1 2 3 4\n\nWeeks after\nannouncement\n\n\n\n**C. Equities**\n\nPercent\n\n6 Median\n4\n2\n0\n\n-2\n-4\n-6\n-8\n\n-10\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\nSources: J.P. Morgan, Bloomberg, Haver Analytics, World Bank.\nNotes: Basis points or percent change from closing values on the day before the NIRP announcement. Line indicates median\nacross 6 NIRP announcements. Grey area indicates 10 <sup>th</sup> and 90 <sup>th</sup> percentile range. Each event is extended out for 30 calendar\ndays.\nA. Bond spreads are the EMBI Index spread, calculated as the average premium paid over a U.S. government bond with\ncomparable 10 maturity.\nB. Effective exchange rate is the J.P. Morgan EM Foreign Exchange Index.\nC. Equities are the MSCI Emerging and Frontier index.\n\n\n55\n\nMention: \"J.P. Morgan EM Foreign Exchange Index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"J.P. Morgan EM foreign-exchange index supplies the nominal effective exchange-rate series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006802:54:0", "occurrence_id": "2414f5cfa394c23e8b3eaec1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure A.4. NIRP announcements: changes in EMDE financial variables up to one month**\n\n\n**A. Bond spreads** **B. Nominal effective exchange rates**\n\n\n\nPercent\n\n40 Median\n\n30\n\n20\n\n10\n\n0\n\n-10\n\n-20\n\n-30\n\n\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\n\nPercent\n\n3\n\nMedian\n\n2\n\n1\n\n0\n\n-1\n\n-2\n\n-3\n\n-4\n\n1 2 3 4\n\nWeeks after\nannouncement\n\n\n\n**C. Equities**\n\nPercent\n\n6 Median\n4\n2\n0\n\n-2\n-4\n-6\n-8\n\n-10\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\nSources: J.P. Morgan, Bloomberg, Haver Analytics, World Bank.\nNotes: Basis points or percent change from closing values on the day before the NIRP announcement. Line indicates median\nacross 6 NIRP announcements. Grey area indicates 10 <sup>th</sup> and 90 <sup>th</sup> percentile range. Each event is extended out for 30 calendar\ndays.\nA. Bond spreads are the EMBI Index spread, calculated as the average premium paid over a U.S. government bond with\ncomparable 10 maturity.\nB. Effective exchange rate is the J.P. Morgan EM Foreign Exchange Index.\nC. Equities are the MSCI Emerging and Frontier index.\n\n\n55\n\nMention: \"MSCI Emerging and Frontier index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"MSCI Emerging and Frontier index supplies the equity-market series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006802:54:0", "occurrence_id": "f8885f9ccc6d6cb763995d24", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure A.4. NIRP announcements: changes in EMDE financial variables up to one month**\n\n\n**A. Bond spreads** **B. Nominal effective exchange rates**\n\n\n\nPercent\n\n40 Median\n\n30\n\n20\n\n10\n\n0\n\n-10\n\n-20\n\n-30\n\n\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\n\nPercent\n\n3\n\nMedian\n\n2\n\n1\n\n0\n\n-1\n\n-2\n\n-3\n\n-4\n\n1 2 3 4\n\nWeeks after\nannouncement\n\n\n\n**C. Equities**\n\nPercent\n\n6 Median\n4\n2\n0\n\n-2\n-4\n-6\n-8\n\n-10\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\nSources: J.P. Morgan, Bloomberg, Haver Analytics, World Bank.\nNotes: Basis points or percent change from closing values on the day before the NIRP announcement. Line indicates median\nacross 6 NIRP announcements. Grey area indicates 10 <sup>th</sup> and 90 <sup>th</sup> percentile range. Each event is extended out for 30 calendar\ndays.\nA. Bond spreads are the EMBI Index spread, calculated as the average premium paid over a U.S. government bond with\ncomparable 10 maturity.\nB. Effective exchange rate is the J.P. Morgan EM Foreign Exchange Index.\nC. Equities are the MSCI Emerging and Frontier index.\n\n\n55\n\nMention: \"Bloomberg\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Bloomberg is among the data sources for the event-study figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006802:54:0", "occurrence_id": "959c020ee5c969a7d9b17085", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure A.4. NIRP announcements: changes in EMDE financial variables up to one month**\n\n\n**A. Bond spreads** **B. Nominal effective exchange rates**\n\n\n\nPercent\n\n40 Median\n\n30\n\n20\n\n10\n\n0\n\n-10\n\n-20\n\n-30\n\n\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\n\nPercent\n\n3\n\nMedian\n\n2\n\n1\n\n0\n\n-1\n\n-2\n\n-3\n\n-4\n\n1 2 3 4\n\nWeeks after\nannouncement\n\n\n\n**C. Equities**\n\nPercent\n\n6 Median\n4\n2\n0\n\n-2\n-4\n-6\n-8\n\n-10\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\nSources: J.P. Morgan, Bloomberg, Haver Analytics, World Bank.\nNotes: Basis points or percent change from closing values on the day before the NIRP announcement. Line indicates median\nacross 6 NIRP announcements. Grey area indicates 10 <sup>th</sup> and 90 <sup>th</sup> percentile range. Each event is extended out for 30 calendar\ndays.\nA. Bond spreads are the EMBI Index spread, calculated as the average premium paid over a U.S. government bond with\ncomparable 10 maturity.\nB. Effective exchange rate is the J.P. Morgan EM Foreign Exchange Index.\nC. Equities are the MSCI Emerging and Frontier index.\n\n\n55\n\nMention: \"Haver Analytics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Haver Analytics is among the data sources for the event-study figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006802:54:0", "occurrence_id": "5dd778a3e70ddfe4687ba79e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure A.4. NIRP announcements: changes in EMDE financial variables up to one month**\n\n\n**A. Bond spreads** **B. Nominal effective exchange rates**\n\n\n\nPercent\n\n40 Median\n\n30\n\n20\n\n10\n\n0\n\n-10\n\n-20\n\n-30\n\n\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\n\nPercent\n\n3\n\nMedian\n\n2\n\n1\n\n0\n\n-1\n\n-2\n\n-3\n\n-4\n\n1 2 3 4\n\nWeeks after\nannouncement\n\n\n\n**C. Equities**\n\nPercent\n\n6 Median\n4\n2\n0\n\n-2\n-4\n-6\n-8\n\n-10\n\n0 1 2 3 4\n\nWeeks after\nannouncement\n\n\nSources: J.P. Morgan, Bloomberg, Haver Analytics, World Bank.\nNotes: Basis points or percent change from closing values on the day before the NIRP announcement. Line indicates median\nacross 6 NIRP announcements. Grey area indicates 10 <sup>th</sup> and 90 <sup>th</sup> percentile range. Each event is extended out for 30 calendar\ndays.\nA. Bond spreads are the EMBI Index spread, calculated as the average premium paid over a U.S. government bond with\ncomparable 10 maturity.\nB. Effective exchange rate is the J.P. Morgan EM Foreign Exchange Index.\nC. Equities are the MSCI Emerging and Frontier index.\n\n\n55\n\nMention: \"World Bank\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank is among the data sources for the event-study figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006808:10:0", "occurrence_id": "12a2759499ba6ab524c70724", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: members of the community. Once the community entry process was complete, the team leader\nassigned enumerators to different zones in the village and they started data collection.\n\nEnumerators began data collection in each home by using chalk to mark a door or window with a\nunique house code. The enumerators then asked to speak with the head of household. If the head\nof household was not home, the enumerator asked to speak with any other adult (at least 18 years\nold). If the head of household or another adult was present, the enumerator introduced herself,\nread the household consent statement, answered any questions the respondent had and then asked\nfor the respondent’s consent to complete the household listing survey. If the respondent\nconsented, the enumerator completed the interview.\n\nThe household listing survey asked general questions about the household, including how many\nfamilies lived there and whether there were any adolescent girls. If the respondent reported that\nthere were adolescent girls in the household, the enumerator asked for further details including\ntheir ages. If any of the girls listed were between 13 and 14 years old, the enumerator asked to\nspeak with their caregiver. Once the enumerator located the girl’s caregiver, she explained the\npurpose of the study and read and explained the girl survey’s caregiver consent statement. If the\ncaregiver consented for the girl to be interviewed, the enumerator met the girl, explained the\npurpose of the assessment and read and explained to her the girl survey assent statement. If the\ngirl assented, the enumerator completed the girl survey and tracing survey with her. After\ncompleting the interview, the enumerator asked to speak with the person the girl identified as her\ncaregiver in the survey (often the same person who completed the caregiver consent for the girl).\nOnce the enumerator located that person, she introduced herself, explained the purpose of the\nassessment and read and explained the caregiver survey consent statement to the caregiver. If the\n\nMention: \"household listing survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household listing survey screens households for adolescent girls and determines eligibility for later interviews.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006808:10:0", "occurrence_id": "7405b1d9d9b6dcef4d3849d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: members of the community. Once the community entry process was complete, the team leader\nassigned enumerators to different zones in the village and they started data collection.\n\nEnumerators began data collection in each home by using chalk to mark a door or window with a\nunique house code. The enumerators then asked to speak with the head of household. If the head\nof household was not home, the enumerator asked to speak with any other adult (at least 18 years\nold). If the head of household or another adult was present, the enumerator introduced herself,\nread the household consent statement, answered any questions the respondent had and then asked\nfor the respondent’s consent to complete the household listing survey. If the respondent\nconsented, the enumerator completed the interview.\n\nThe household listing survey asked general questions about the household, including how many\nfamilies lived there and whether there were any adolescent girls. If the respondent reported that\nthere were adolescent girls in the household, the enumerator asked for further details including\ntheir ages. If any of the girls listed were between 13 and 14 years old, the enumerator asked to\nspeak with their caregiver. Once the enumerator located the girl’s caregiver, she explained the\npurpose of the study and read and explained the girl survey’s caregiver consent statement. If the\ncaregiver consented for the girl to be interviewed, the enumerator met the girl, explained the\npurpose of the assessment and read and explained to her the girl survey assent statement. If the\ngirl assented, the enumerator completed the girl survey and tracing survey with her. After\ncompleting the interview, the enumerator asked to speak with the person the girl identified as her\ncaregiver in the survey (often the same person who completed the caregiver consent for the girl).\nOnce the enumerator located that person, she introduced herself, explained the purpose of the\nassessment and read and explained the caregiver survey consent statement to the caregiver. If the\n\nMention: \"girl survey and tracing survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Girl survey and tracing survey collect assessment data from adolescent participants.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006808:10:0", "occurrence_id": "20df0cef640b972ce01750f7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: members of the community. Once the community entry process was complete, the team leader\nassigned enumerators to different zones in the village and they started data collection.\n\nEnumerators began data collection in each home by using chalk to mark a door or window with a\nunique house code. The enumerators then asked to speak with the head of household. If the head\nof household was not home, the enumerator asked to speak with any other adult (at least 18 years\nold). If the head of household or another adult was present, the enumerator introduced herself,\nread the household consent statement, answered any questions the respondent had and then asked\nfor the respondent’s consent to complete the household listing survey. If the respondent\nconsented, the enumerator completed the interview.\n\nThe household listing survey asked general questions about the household, including how many\nfamilies lived there and whether there were any adolescent girls. If the respondent reported that\nthere were adolescent girls in the household, the enumerator asked for further details including\ntheir ages. If any of the girls listed were between 13 and 14 years old, the enumerator asked to\nspeak with their caregiver. Once the enumerator located the girl’s caregiver, she explained the\npurpose of the study and read and explained the girl survey’s caregiver consent statement. If the\ncaregiver consented for the girl to be interviewed, the enumerator met the girl, explained the\npurpose of the assessment and read and explained to her the girl survey assent statement. If the\ngirl assented, the enumerator completed the girl survey and tracing survey with her. After\ncompleting the interview, the enumerator asked to speak with the person the girl identified as her\ncaregiver in the survey (often the same person who completed the caregiver consent for the girl).\nOnce the enumerator located that person, she introduced herself, explained the purpose of the\nassessment and read and explained the caregiver survey consent statement to the caregiver. If the\n\nMention: \"caregiver survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Caregiver survey collects linked information from caregivers of interviewed girls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006816:24:0", "occurrence_id": "510b41268f9acf7dd8150fa4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Duvanova, D. (2014). _Building Business in Post-Communist Russia, Eastern Europe, and Eurasia: Collective Goods,_\n_Selective Incentives, and Predatory States_ . Cambridge: Cambridge University Press.\n\n\nEifert, B. (2009). Do Regulatory Reforms Stimulate Investment and Growth? Evidence from the Doing\nBusiness Data, 2003-07. _Centre for Global Development Working Paper 159_ .\n\n\nEngau, C., & V.H. Hoffmann (2009).“Effects of regulatory uncertainty on corporate strategy - an analysis of\nfirms’ responses to uncertainty about post-Kyoto policy.” _Environmental Science & Policy_ 12(7): 766 – 777.\n\nFabrizio, K.R. (2012). The Effect of Regulatory Uncertainty on Investment: Evidence from Renewable\nEnergy Generation. _The Journal of Law, Economics, and Organization_ 29(4): 765 – 798.\n\nFeiock, R.C. and M. Jeong (2002).“Regulatory Reform and Urban Economic Development.” _State & Local_\n_Government Review_ 34(3): 153 – 159.\n\nFirestone, T. (2010). Armed Injustice: Abuse of the Law and Complex Crime in Post-Soviet Russia. Denver\nJournal of International Law & Policy, 38, 555–580.\n\nFirestone, T. (2008).‘Criminal corporate raiding in Russia.’ _International Lawyer_ 42 (4): 1207 – 1230.\n\nFrye, T. (2010). _Building States and Markets After Communism: The Perils of Polarized Democracy_ . New York:\nCambridge University Press.\n\nFrye, T. (2002). “Perils of polarization: Economic performance in the post-communist world”. _World Politics_\n54(4): 308 – 337.\n\nGans-Morse, J. (2012). Threats to Property Rights in Russia:\n\nMention: \"Doing\nBusiness Data\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Cited Doing Business data underlie an external study of regulatory reform, investment, and growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006845:9:0", "occurrence_id": "56058674df34dede7ee78aac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Nonetheless, the ES include rich information about the business environment, firms’ characteristics and\n\n\nowner’s characteristics. The data were gathered from interviews with top managers and CEOs in the\n\n\nformally registered non-agricultural private sector; firms that are fully state-owned are excluded from\n\neligibility for the study. <sup>8</sup> As such they notably omit informal businesses, a sector known to comprise a\n\n\npredominant share of employment in Ghana. Another notable point in the case of Ghana is that the global\n\n\nEnterprise Survey methodology excludes extractive industries. Firms eligible for interviews operate in the\n\nmanufacturing, construction, retail, wholesale, hospitality, and transport sectors (as well as IT firms). <sup>9</sup>\n\n\nAdditionally, in the case of Ghana, firms with between one and four full-time workers (so-called ‘micro’\n\n\nfirms) were interviewed, and the data used here include this supplementary source of data.\n\n\nThe study was conducted using a stratified survey design, along dimensions of firm size (micro\n\n\n[1–4 employees], small [5–19], medium [20–99], and large [100+]), sector of activity within industry and\n\n\nservices (food, chemicals/plastics/rubber, metals, other manufacturing, construction; retail, other\n\nservices <sup>10</sup> ), and in four of the most active economic cities in Ghana: Accra Metropolitan Area and Tema\n\n\n(Accra), Kumasi (Ashanti), Tamale (Northern) and Takoradi (Western). In all, interviews were completed\n\n\nwith 1,324 firms. Table 1 provides basic descriptive statistics of the sample.\n\n\nThe sample consisted of 720 small, medium and large registered establishments and 604 registered\n\n\nmicroenterprises with the Ghana Registrar’s General Department. These establishments were located from\n\n\nlists compiled from the following: firm registry, list of firms paying value added tax (VAT\n\nMention: \"the global\n\n\nEnterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Enterprise Survey firm data measure business conditions, firm performance, workforce skills, and owner characteristics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006895:24:0", "occurrence_id": "51c4498c79cf1e8fcc6dfd17", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Table 1. Distribution of IHDS sample of rural households by region**\n\n\n**<u>Region</u>** **<u>States and union territories</u>** **<u>2005</u>** **<u>2012</u>**\nNorth Haryana, Himachal Pradesh, Jammu and 7,589 9,334\nKashmir, Punjab, Rajasthan,\nUttarakhand, Uttar Pradesh\n\nWest Goa, Gujarat, Maharashtra 3,046 3,448\nSouth Andhra Pradesh, Karnataka, Kerala, 5,366 5,985\nTamil Nadu\n\nEast Bihar, Jharkhand, Orissa, West Bengal 3,865 4,530\nCentral Chhattisgarh, Madhya Pradesh 2,852 3,572\nNortheast Arunachal Pradesh, Assam, Manipur, 1,255 1,335\nMeghalaya, Mizoram, Nagaland, Sikkim,\nTripura\n\n\n\nUnion territories and\n<u>the capital</u> <sup>a</sup>\n\n\n\nDadra and Nagar Haveli, Daman and Diu,\n<u>Delhi, Pondicherry</u>\n\n\n\n218 242\n\n\n\n_<u>No. of Observations</u>_ <u>24,191</u> <u>28,446</u>\n_Note:_ While this is a panel sample, the number of surveyed households in 2012 exceeds that in 2005 because\nmany of the original 2005 households split during the seven years between the two surveys.\na. Union territories are administrative divisions that differ from the states. While each state is ruled by its own\nelected government, union territories are ruled by the central government.\n\n\n**<u>Table 2. Electrification rate among sample households by region (percent)</u>**\n**<u>Region</u>** **<u>2005</u>** **<u>2012</u>**\n\nMention: \"IHDS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Panel household-survey rounds provide the sample for regional electrification and household-outcome analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006854:5:1", "occurrence_id": "49cfb6bf09ffc528ab84095e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  nationally\nrepresentative survey data on household welfare – either income or consumption per capita – from\n142 economies in the developing world. This collection of survey data is then combined with\ncomplementary data on population, inflation, real economic growth, and Purchasing Power Parity\n(PPP) exchange rates.\n\n\nEstimating poverty rates for different types of households requires additional data on individual\ncharacteristics, comparable across countries and regions, from the same household surveys used\nto calculate poverty. Poverty profiles typically utilize a set of variables that are relatively\nstraightforward to obtain such as age, gender, education, and sector of work. Nonetheless,\ncompiling these variables from diverse household surveys, which differ in the quality of their data\nand the nature of the questionnaires, and harmonizing variable names and codes across surveys, is\na remarkable achievement. These heavy data requirements are the main reason why only a few\nempirical studies have examined patterns across such a large number of countries.\n\n\nThis analysis is based on the September 2016 vintage of the Global Micro Database (GMD), a\ncollection of globally harmonized household survey data recently developed by the Data for Goals\n\n\n4\n\nMention: \"Global Micro Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Harmonized household-survey database supplies welfare, consumption, and demographic inputs for cross-country poverty profiles.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006901:5:0", "occurrence_id": "53ac37396fa7482041985a17", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: support the idea that policies oriented to reduce inequality have a positive effect on growth (“pro\n\ngrowth equity”) is more scarce and limited.\n\n\n_Pro-growth equity_\n\n\nConceptually, income inequality should have a strong contemporaneous correlation with growth, as\n\n\ngrowth and inequality are jointly determined (Chenery, et al, 1974; Ferreira, 2010). As Chenery, et al.\n\n\n(1974) show 40 years ago, overall growth can be decomposed as the weighted sum of the income\n\n\ngrowth of different groups in society, where the weights are determined by those groups’ initial share\n\n\nin total income.\n\n\n**Figure 1. Growth and equity are jointly determined**\n\n\nStudies looking into the inequality-growth relationship have found ambiguous results (Marrero and\n\n\nRodriguez, 2013). In a recent study, Ferreira et al. (2014) use two new data sets, consisting of 118\n\n\nhousehold surveys and 134 Demographic and Health Surveys, to show that inequality is negative for\n\n\n4\n\nMention: \"Demographic and Health Surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Demographic and Health Survey datasets underpin cited research linking inequality and growth across countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006901:5:0", "occurrence_id": "ce71d9205f277633c321e1f5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: support the idea that policies oriented to reduce inequality have a positive effect on growth (“pro\n\ngrowth equity”) is more scarce and limited.\n\n\n_Pro-growth equity_\n\n\nConceptually, income inequality should have a strong contemporaneous correlation with growth, as\n\n\ngrowth and inequality are jointly determined (Chenery, et al, 1974; Ferreira, 2010). As Chenery, et al.\n\n\n(1974) show 40 years ago, overall growth can be decomposed as the weighted sum of the income\n\n\ngrowth of different groups in society, where the weights are determined by those groups’ initial share\n\n\nin total income.\n\n\n**Figure 1. Growth and equity are jointly determined**\n\n\nStudies looking into the inequality-growth relationship have found ambiguous results (Marrero and\n\n\nRodriguez, 2013). In a recent study, Ferreira et al. (2014) use two new data sets, consisting of 118\n\n\nhousehold surveys and 134 Demographic and Health Surveys, to show that inequality is negative for\n\n\n4\n\nMention: \"118\n\n\nhousehold surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Household-survey datasets form the other cited source base for the inequality-growth study.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006913:30:1", "occurrence_id": "567874f6cbf3e5a22c4ec439", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  several interesting trends emerged through a cross city comparison.\nFigure 19 below summarizes the land cover within 5kms of each city’s CBD. The cities have been ordered\naccording to population size, with Kinshasa and Lagos being two of the most populated cities located\nnear the Y‐axis, and Freetown with less than 1 million inhabitants located at the very end. <sup>53</sup> Returning\nagain to Maputo with a population of roughly 1.2 million, the chart shows that within 5 kilometers of its\n\n\n53 Population data taken from <u>http://www.citypopulation.de/, a website that compiles national census data.</u>\n\n\n29\n\nMention: \"citypopulation.de\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"City population statistics support the cross-city land-cover comparison around La Paz.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006937:24:4", "occurrence_id": "20a11c0fa83b3a204640429d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ><mark>2,045</mark></u> <u><mark>1,946</mark></u>\nSource: Staff calculations using UNPS. Notes: Household fixed effects estimation with robust standard errors\nin parentheses. *** p<0.01, ** p<0.05, * p<0.1\n\n\n\n**Table 10: Impact of weather, prices and peace on income and consumption: bottom 40**\n\n**percent**\n\n\n\n23\n\nMention: \"UNPS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"UNPS household survey data underpin estimates of weather, price, and peace effects on income and consumption among the bottom 40 percent.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006916:28:0", "occurrence_id": "118bdfa9bc5df80fb9e0e5e9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: those focusing on its relationship with FDI, are considerably less abundant. Moreover, those that\n\n\nconsider developing nations show conflicting results (Abadie & Gardeazabal, 2008; Enders et al., 2006;\n\n\nLi, 2006; Oetzel & Oh, 2014; Powers & Choi, 2012). Again, several of these authors ignore other forms\n\n\nof political violence and risk in their empirical strategies, which could largely explain the mixed results.\n\n\nIn Table 3, we include measures for _terrorism_, _political terror_ and _assassinations_ in our\n\n\nregression models to test our assumption that political violence must be both relatively continuous and\n\n\ndetrimental to returns on economic activity. We measure terrorism using the number of deaths during\n\n\nterrorist attacks from the Global Terrorism Database (GTD). This database, developed by the National\n\n\nConsortium for the Study of Terrorism and Responses to Terrorism, is based on reports from a variety\n\n\nof open media sources (LaFree & Dugan, 2007). We prefer this proxy to the number of terrorist attacks\n\n\nbecause it measures not only the prevalence of attacks, but also their intensity. The number of terrorist\n\n\nfatalities is highly skewed; hence, we transform the measure using the natural log of the inverse\n\n\nhyperbolic sine function. We measure political terror with the widely used Political Terror Scale (Wood\n\n\n& Gibney, 2010), an index constructed based on information from three sources: Amnesty International\n\n\nYearly Country Reports, the U.S. State Department Country Reports on Human Rights Practices, and\n\n\nthe World Reports of Human Rights Watch. The index ranges from 0 in the case of a strong rule of law\n\n\nto 5 in the case of widespread political terror. We measure the numbers of assassinations using the\n\n\nCross-National Time Series data developed by Banks (2015).\n\n\nThe results confirm that terrorism, political terror, and assassinations in a country do not affect\n\n\nits total greenfield FDI inflows (Figure 2, columns 1-3). The coefficient of the conflict variable BR\n\nMention: \"Global Terrorism Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GTD fatalities provide the terrorism measure used in regressions of foreign-investment outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006916:28:0", "occurrence_id": "1389a978a4374e6c9bd20618", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: those focusing on its relationship with FDI, are considerably less abundant. Moreover, those that\n\n\nconsider developing nations show conflicting results (Abadie & Gardeazabal, 2008; Enders et al., 2006;\n\n\nLi, 2006; Oetzel & Oh, 2014; Powers & Choi, 2012). Again, several of these authors ignore other forms\n\n\nof political violence and risk in their empirical strategies, which could largely explain the mixed results.\n\n\nIn Table 3, we include measures for _terrorism_, _political terror_ and _assassinations_ in our\n\n\nregression models to test our assumption that political violence must be both relatively continuous and\n\n\ndetrimental to returns on economic activity. We measure terrorism using the number of deaths during\n\n\nterrorist attacks from the Global Terrorism Database (GTD). This database, developed by the National\n\n\nConsortium for the Study of Terrorism and Responses to Terrorism, is based on reports from a variety\n\n\nof open media sources (LaFree & Dugan, 2007). We prefer this proxy to the number of terrorist attacks\n\n\nbecause it measures not only the prevalence of attacks, but also their intensity. The number of terrorist\n\n\nfatalities is highly skewed; hence, we transform the measure using the natural log of the inverse\n\n\nhyperbolic sine function. We measure political terror with the widely used Political Terror Scale (Wood\n\n\n& Gibney, 2010), an index constructed based on information from three sources: Amnesty International\n\n\nYearly Country Reports, the U.S. State Department Country Reports on Human Rights Practices, and\n\n\nthe World Reports of Human Rights Watch. The index ranges from 0 in the case of a strong rule of law\n\n\nto 5 in the case of widespread political terror. We measure the numbers of assassinations using the\n\n\nCross-National Time Series data developed by Banks (2015).\n\n\nThe results confirm that terrorism, political terror, and assassinations in a country do not affect\n\n\nits total greenfield FDI inflows (Figure 2, columns 1-3). The coefficient of the conflict variable BR\n\nMention: \"World Reports of Human Rights Watch\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Human Rights Watch reports contribute source information to the Political Terror Scale.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006916:28:0", "occurrence_id": "6ca3ad2f3369986445f3dfa2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: those focusing on its relationship with FDI, are considerably less abundant. Moreover, those that\n\n\nconsider developing nations show conflicting results (Abadie & Gardeazabal, 2008; Enders et al., 2006;\n\n\nLi, 2006; Oetzel & Oh, 2014; Powers & Choi, 2012). Again, several of these authors ignore other forms\n\n\nof political violence and risk in their empirical strategies, which could largely explain the mixed results.\n\n\nIn Table 3, we include measures for _terrorism_, _political terror_ and _assassinations_ in our\n\n\nregression models to test our assumption that political violence must be both relatively continuous and\n\n\ndetrimental to returns on economic activity. We measure terrorism using the number of deaths during\n\n\nterrorist attacks from the Global Terrorism Database (GTD). This database, developed by the National\n\n\nConsortium for the Study of Terrorism and Responses to Terrorism, is based on reports from a variety\n\n\nof open media sources (LaFree & Dugan, 2007). We prefer this proxy to the number of terrorist attacks\n\n\nbecause it measures not only the prevalence of attacks, but also their intensity. The number of terrorist\n\n\nfatalities is highly skewed; hence, we transform the measure using the natural log of the inverse\n\n\nhyperbolic sine function. We measure political terror with the widely used Political Terror Scale (Wood\n\n\n& Gibney, 2010), an index constructed based on information from three sources: Amnesty International\n\n\nYearly Country Reports, the U.S. State Department Country Reports on Human Rights Practices, and\n\n\nthe World Reports of Human Rights Watch. The index ranges from 0 in the case of a strong rule of law\n\n\nto 5 in the case of widespread political terror. We measure the numbers of assassinations using the\n\n\nCross-National Time Series data developed by Banks (2015).\n\n\nThe results confirm that terrorism, political terror, and assassinations in a country do not affect\n\n\nits total greenfield FDI inflows (Figure 2, columns 1-3). The coefficient of the conflict variable BR\n\nMention: \"Cross-National Time Series data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Cross-National Time Series supplies assassination counts for the political-violence regressions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006916:28:0", "occurrence_id": "ed21db14f6d096f56c940254", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: those focusing on its relationship with FDI, are considerably less abundant. Moreover, those that\n\n\nconsider developing nations show conflicting results (Abadie & Gardeazabal, 2008; Enders et al., 2006;\n\n\nLi, 2006; Oetzel & Oh, 2014; Powers & Choi, 2012). Again, several of these authors ignore other forms\n\n\nof political violence and risk in their empirical strategies, which could largely explain the mixed results.\n\n\nIn Table 3, we include measures for _terrorism_, _political terror_ and _assassinations_ in our\n\n\nregression models to test our assumption that political violence must be both relatively continuous and\n\n\ndetrimental to returns on economic activity. We measure terrorism using the number of deaths during\n\n\nterrorist attacks from the Global Terrorism Database (GTD). This database, developed by the National\n\n\nConsortium for the Study of Terrorism and Responses to Terrorism, is based on reports from a variety\n\n\nof open media sources (LaFree & Dugan, 2007). We prefer this proxy to the number of terrorist attacks\n\n\nbecause it measures not only the prevalence of attacks, but also their intensity. The number of terrorist\n\n\nfatalities is highly skewed; hence, we transform the measure using the natural log of the inverse\n\n\nhyperbolic sine function. We measure political terror with the widely used Political Terror Scale (Wood\n\n\n& Gibney, 2010), an index constructed based on information from three sources: Amnesty International\n\n\nYearly Country Reports, the U.S. State Department Country Reports on Human Rights Practices, and\n\n\nthe World Reports of Human Rights Watch. The index ranges from 0 in the case of a strong rule of law\n\n\nto 5 in the case of widespread political terror. We measure the numbers of assassinations using the\n\n\nCross-National Time Series data developed by Banks (2015).\n\n\nThe results confirm that terrorism, political terror, and assassinations in a country do not affect\n\n\nits total greenfield FDI inflows (Figure 2, columns 1-3). The coefficient of the conflict variable BR\n\nMention: \"Political Terror Scale\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Political Terror Scale measures political terror using composite country reports.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006916:28:0", "occurrence_id": "06d83ffa9778c08a7f7e4d48", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: those focusing on its relationship with FDI, are considerably less abundant. Moreover, those that\n\n\nconsider developing nations show conflicting results (Abadie & Gardeazabal, 2008; Enders et al., 2006;\n\n\nLi, 2006; Oetzel & Oh, 2014; Powers & Choi, 2012). Again, several of these authors ignore other forms\n\n\nof political violence and risk in their empirical strategies, which could largely explain the mixed results.\n\n\nIn Table 3, we include measures for _terrorism_, _political terror_ and _assassinations_ in our\n\n\nregression models to test our assumption that political violence must be both relatively continuous and\n\n\ndetrimental to returns on economic activity. We measure terrorism using the number of deaths during\n\n\nterrorist attacks from the Global Terrorism Database (GTD). This database, developed by the National\n\n\nConsortium for the Study of Terrorism and Responses to Terrorism, is based on reports from a variety\n\n\nof open media sources (LaFree & Dugan, 2007). We prefer this proxy to the number of terrorist attacks\n\n\nbecause it measures not only the prevalence of attacks, but also their intensity. The number of terrorist\n\n\nfatalities is highly skewed; hence, we transform the measure using the natural log of the inverse\n\n\nhyperbolic sine function. We measure political terror with the widely used Political Terror Scale (Wood\n\n\n& Gibney, 2010), an index constructed based on information from three sources: Amnesty International\n\n\nYearly Country Reports, the U.S. State Department Country Reports on Human Rights Practices, and\n\n\nthe World Reports of Human Rights Watch. The index ranges from 0 in the case of a strong rule of law\n\n\nto 5 in the case of widespread political terror. We measure the numbers of assassinations using the\n\n\nCross-National Time Series data developed by Banks (2015).\n\n\nThe results confirm that terrorism, political terror, and assassinations in a country do not affect\n\n\nits total greenfield FDI inflows (Figure 2, columns 1-3). The coefficient of the conflict variable BR\n\nMention: \"Amnesty International\n\n\nYearly Country Reports\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Amnesty International country reports contribute information to the Political Terror Scale.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006916:28:0", "occurrence_id": "0d8866465657db554516a088", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: those focusing on its relationship with FDI, are considerably less abundant. Moreover, those that\n\n\nconsider developing nations show conflicting results (Abadie & Gardeazabal, 2008; Enders et al., 2006;\n\n\nLi, 2006; Oetzel & Oh, 2014; Powers & Choi, 2012). Again, several of these authors ignore other forms\n\n\nof political violence and risk in their empirical strategies, which could largely explain the mixed results.\n\n\nIn Table 3, we include measures for _terrorism_, _political terror_ and _assassinations_ in our\n\n\nregression models to test our assumption that political violence must be both relatively continuous and\n\n\ndetrimental to returns on economic activity. We measure terrorism using the number of deaths during\n\n\nterrorist attacks from the Global Terrorism Database (GTD). This database, developed by the National\n\n\nConsortium for the Study of Terrorism and Responses to Terrorism, is based on reports from a variety\n\n\nof open media sources (LaFree & Dugan, 2007). We prefer this proxy to the number of terrorist attacks\n\n\nbecause it measures not only the prevalence of attacks, but also their intensity. The number of terrorist\n\n\nfatalities is highly skewed; hence, we transform the measure using the natural log of the inverse\n\n\nhyperbolic sine function. We measure political terror with the widely used Political Terror Scale (Wood\n\n\n& Gibney, 2010), an index constructed based on information from three sources: Amnesty International\n\n\nYearly Country Reports, the U.S. State Department Country Reports on Human Rights Practices, and\n\n\nthe World Reports of Human Rights Watch. The index ranges from 0 in the case of a strong rule of law\n\n\nto 5 in the case of widespread political terror. We measure the numbers of assassinations using the\n\n\nCross-National Time Series data developed by Banks (2015).\n\n\nThe results confirm that terrorism, political terror, and assassinations in a country do not affect\n\n\nits total greenfield FDI inflows (Figure 2, columns 1-3). The coefficient of the conflict variable BR\n\nMention: \"U.S. State Department Country Reports on Human Rights Practices\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"State Department human-rights reports contribute information to the Political Terror Scale.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006960:30:0", "occurrence_id": "3113b26deef656a10017f65e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: JPN MYL\nEPA\n<u>(2006)</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nNZLMYL\nFTA\n<u>(2010)</u>\n\n\n\n**Malaysia**\n\n\n\nMYLAUS FTA\n<u>(2010)</u>\n\n\n\nJPN- AFAS\n\nUS- AANZF VNM AFAS 8 <sup>th</sup> AFAS 8 <sup>th</sup> 8 <sup>th</sup>\nVietnam AANZFT TA EPA Package Package Package\n\n**Vietnam** <u>BTA</u> <u>A (2010)</u> <u>(2010)</u> <u>(2008)</u> <u>(2010)</u> <u>(2010)</u> <u>(2010)</u>\n\n\nSource: WTO, RTA database; Organization of American States- Foreign Trade Information System, <u>www.sice.oas.org/trade</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nAANZFT\n<u>A (2010)</u>\n\n\n\nJPNVNM\nEPA\n<u>(2008)</u>\n\n\n\nAANZF\nTA\n<u>(2010)</u>\n\n\n\n**Vietnam**\n\n\n\nUSVietnam\n<u>BTA</u>\n\n\n\n29\n\nMention: \"RTA database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"WTO regional-trade-agreement database supplies the agreements listed in the trade-policy table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006960:30:0", "occurrence_id": "77aa1668c21b1ce58792cebb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: JPN MYL\nEPA\n<u>(2006)</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nNZLMYL\nFTA\n<u>(2010)</u>\n\n\n\n**Malaysia**\n\n\n\nMYLAUS FTA\n<u>(2010)</u>\n\n\n\nJPN- AFAS\n\nUS- AANZF VNM AFAS 8 <sup>th</sup> AFAS 8 <sup>th</sup> 8 <sup>th</sup>\nVietnam AANZFT TA EPA Package Package Package\n\n**Vietnam** <u>BTA</u> <u>A (2010)</u> <u>(2010)</u> <u>(2008)</u> <u>(2010)</u> <u>(2010)</u> <u>(2010)</u>\n\n\nSource: WTO, RTA database; Organization of American States- Foreign Trade Information System, <u>www.sice.oas.org/trade</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nAFAS 8 <sup>th</sup>\nPackage\n<u>(2010)</u>\n\n\n\nAANZFT\n<u>A (2010)</u>\n\n\n\nJPNVNM\nEPA\n<u>(2008)</u>\n\n\n\nAANZF\nTA\n<u>(2010)</u>\n\n\n\n**Vietnam**\n\n\n\nUSVietnam\n<u>BTA</u>\n\n\n\n29\n\nMention: \"Foreign Trade Information System\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"OAS Foreign Trade Information System provides complementary trade-agreement information.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:006965:4:0", "occurrence_id": "3f653ee41531c0ac7a5afd5d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: infrastructure has increased production and transportation costs and reduced the job\nopportunities available to the poor. Together, these factors are contributing to a long-term decline\nin economic productivity. Meanwhile, Guatemala’s low tax revenues limit its capacity for\nredistributive fiscal policy and pro-poor spending. Guatemala’s high poverty rates and tight fiscal\nconstraints underscore the critical importance of effectively targeting public spending.\n\n###### **_The Role of Data in Poverty Reduction_**\n\n\nEffective poverty-reduction strategies require detailed information on the current\ngeographic distribution of poverty and the characteristics of households living below the poverty\nline. Censuses and household surveys can shed light on a wide range of economic and social\nindicators. However, these methods are expensive and time-consuming, and implementing them\nrequires considerable institutional capacity. Moreover, adverse local conditions such as violent\nconflict, high crime rates, or political instability may make traditional in-person surveying\nimpossible in certain areas. As a result, policy makers must often base critical decisions on outdated\nor incomplete information.\n\n\nSocial scientists are increasingly using so-called “big data” analysis to supplement more\ntraditional sources of information. Satellite imagery, logs from sensors (e.g. traffic, weather),\nsmartphone applications, and cell phone data—the subject of this paper—have already yielded\nimportant insights in numerous fields. Unlike household surveys, which are specifically designed\nto address certain research questions, big data are usually collected in a non-research context, often\nas the byproduct of a commercial activity or public service. Analyzing big data requires new\nresearch methods, many of which are still in the early stages of their development. Emerging\nresearch methodologies based on Call Detail Records (CDRs) and advanced machine-learning\ntechniques have especially promising applications in developing countries, as they can potentially\ngenerate reliable poverty data at a far lower cost than conventional household surveys.\n\n\nCDR analysis can play a vital role by filling the spatial and temporal gaps left by\n\nMention: \"Call Detail Records\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Call Detail Records are discussed as a big-data source that may fill spatial and temporal gaps in poverty measurement.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007028:16:0", "occurrence_id": "18ce7b6ee68d3c478dc53aa5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 7: Total labor content per $100 of gross exports across sectors, South Africa**\n\n**2001 vs. 2011**\n\n\n\n\n\n_Source:_ Authors’ elaboration based on LACEX.\n\n\nThe services sector absorbs a much larger share of labor value added from exports than it generates\ndirectly via its exports. Figure 8 shows how much the labor of each sector is used by other sectors\nfor their exports (i.e., the forward linkages). The picture again is very different, highlighting an\nasymmetry that is typical of many economies. The services sectors, while being relatively small\ncontributors to the direct labor content of exports, are the most important contributor of labor to\nexports when accounting also for the forward linkages. Trade and transport services as well as\nother private services have large wage bills servicing export sectors, paying for over $8 billion and\n$7 billion in wages, mostly indirectly by supplying services to other export sectors rather than\nexporting directly.\n\n\nConsistent with other literature (Farole, 2015), domestic value chains in South Africa appear to be\nrelatively short. While the goods sector shows strong backward linkages in the domestic economy,\nparticularly through services, it also has very weak forward linkages. Labor in the minerals and\nmetals sectors are hardly employed to produce inputs for other exporting sectors, indicating very\nlimited domestic downstream connectivity. Perhaps even more surprising, while the machinery\nand equipment sector has a large labor content in exports, labor in machinery and equipment is\nalso not involved in the production to supply other exporting sectors. The majority of its wages\nare paid to employees producing equipment to be directly exported (even though doing so requires\ninputs from other domestic sectors of the economy, as illustrated in Figure 6). This asymmetry\nsuggests a mismatch between the domestic supply of machinery and the demand for machinery\nfrom the domestic minerals, metal and manufacturing sectors.\n\n\n15\n\nMention: \"LACEX\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"LACEX data support estimates of sectoral labor content in South African exports.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007023:18:0", "occurrence_id": "3b0a4907d15ac5cf2da0b173", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 5. **Evaluation results**\n\nThis section focuses on the presentation and the discussion of the key evaluation results, with a focus on\nthe outcomes of interest related to social behavior and crime. Before discussing the main results, the first\nsubsection describes the socioeconomic context of Port Moresby, and presents descriptive evidence on\nthe extent of crime and anti‐social behavior from the baseline sample.\n\n\n_5.1 Context_\n\n\nPNG is disproportionately young, as 67% of the national population is below 35 years of age and 25% are\naged 16 to 35. <sup>12</sup> [^12: Derived from 2011 Census Report.] Urban youth face several challenges. For example, in the 2009/10 Household Income and\nExpenditure Survey, 58% of urban youth had dropped out of school or tertiary education. 60% of urban\nyouth were unemployed, and less than 7% of those employed are in formal wage jobs5.  Furthermore,\nPNG’s rapid GDP growth has had a limited effect on the well‐being of PNG’s youth. Despite real GDP\nannual growth of almost 8% in the last decade, urban wage employment decreased by 11 percentage\npoints between 1996 and 2009/10. Rapid increase in rural‐urban migration, high rates of poverty and\ninequality, and high levels of unemployment create community stress that contributes to crime and\nviolence, which is highly prevalent in the main urban centers. For example, Port Moresby and Lae City\nreported 33 and 66 homicides per 100,000 persons, respectively, between 2010 and 2013. According to\nsurveys in Port Moresby, Youth aged 19 to 29 are the most active in crime; in fact, criminal activity is so\npervasive that 54% of youth report to have been a victim of crime, and 35% report to have been engaged\nin crime at some point. <sup>13</sup>\n\n\nThe national government is well aware of these challenges, and established “Human Capital Development,\nGender, Youth, and\n\nMention: \"2011 Census Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Census report provides national age-composition context for discussion of urban youth outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007023:18:0", "occurrence_id": "47de809e26f096c4e13e669d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 5. **Evaluation results**\n\nThis section focuses on the presentation and the discussion of the key evaluation results, with a focus on\nthe outcomes of interest related to social behavior and crime. Before discussing the main results, the first\nsubsection describes the socioeconomic context of Port Moresby, and presents descriptive evidence on\nthe extent of crime and anti‐social behavior from the baseline sample.\n\n\n_5.1 Context_\n\n\nPNG is disproportionately young, as 67% of the national population is below 35 years of age and 25% are\naged 16 to 35. <sup>12</sup> [^12: Derived from 2011 Census Report.] Urban youth face several challenges. For example, in the 2009/10 Household Income and\nExpenditure Survey, 58% of urban youth had dropped out of school or tertiary education. 60% of urban\nyouth were unemployed, and less than 7% of those employed are in formal wage jobs5.  Furthermore,\nPNG’s rapid GDP growth has had a limited effect on the well‐being of PNG’s youth. Despite real GDP\nannual growth of almost 8% in the last decade, urban wage employment decreased by 11 percentage\npoints between 1996 and 2009/10. Rapid increase in rural‐urban migration, high rates of poverty and\ninequality, and high levels of unemployment create community stress that contributes to crime and\nviolence, which is highly prevalent in the main urban centers. For example, Port Moresby and Lae City\nreported 33 and 66 homicides per 100,000 persons, respectively, between 2010 and 2013. According to\nsurveys in Port Moresby, Youth aged 19 to 29 are the most active in crime; in fact, criminal activity is so\npervasive that 54% of youth report to have been a victim of crime, and 35% report to have been engaged\nin crime at some point. <sup>13</sup>\n\n\nThe national government is well aware of these challenges, and established “Human Capital Development,\nGender, Youth, and\n\nMention: \"Household Income and\nExpenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Household Income and Expenditure Survey supplies context on youth school dropout and unemployment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007038:8:0", "occurrence_id": "ae8bd97c43b7d8bd168bdf15", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: distribution of caloric consumption across food groups suggests that the average Pakistani diet\nmay not be sufficiently diverse (Shabnam et al. 2016).\n\n_Cost of food_ : Based on 2010–11 national HIES data, Malik, Nazli, and Whitney (2015) find that,\nas expected, nonpoor households spend more per calorie than poor households, and that urban\nhouseholds spend more per calorie than rural households. However, the study also finds that the\ncost of calories from wheat is higher for poor than nonpoor households, in both rural and urban\nareas. Notwithstanding, World Bank (2016a) finds that the cost per calorie for the poorest\nhouseholds is lowest for cereals, followed, in rising order, by sugars, oils, and pulses.\n\nBased on 2013–14 national HIES data, GOP and World Food Programme [WFP] (2016) find that\nfood expenditures for 68% of households fall below the minimum cost of a staple-adjusted, locally\navailable nutritious diet (that is, a diet that meets the recommended intake of calories, protein, fat,\nand micronutrients, and contains a daily serving of the main staple, wheat). Among the four\nprovinces, the share of such households varies from a high of 83% in Balochistan to a low of 66%\nin Punjab (the share for Islamabad Capital Territory is 32%).\n\nWorld Bank (2016a) finds that, from 2000–01 to 2013–14, the cost of food rose sharply,\nparticularly in the latter half of that period. Over the full period, food prices rose by 270%,\ncompared to a rise of 180% in nonfood prices.\n\n_Food prices and food consumption_ : Malik, Nazli, and Whitney (2015) find that household demand\nfor most foods is price-inelastic, irrespective of the location (urban or rural) or the economic status\nof the household (poor or nonpoor). Studies have also taken\n\nMention: \"HIES data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household survey data support comparisons of food costs and per-calorie spending between poor and nonpoor households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007038:8:0", "occurrence_id": "9eedbaa8cd801b598dbb185a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: distribution of caloric consumption across food groups suggests that the average Pakistani diet\nmay not be sufficiently diverse (Shabnam et al. 2016).\n\n_Cost of food_ : Based on 2010–11 national HIES data, Malik, Nazli, and Whitney (2015) find that,\nas expected, nonpoor households spend more per calorie than poor households, and that urban\nhouseholds spend more per calorie than rural households. However, the study also finds that the\ncost of calories from wheat is higher for poor than nonpoor households, in both rural and urban\nareas. Notwithstanding, World Bank (2016a) finds that the cost per calorie for the poorest\nhouseholds is lowest for cereals, followed, in rising order, by sugars, oils, and pulses.\n\nBased on 2013–14 national HIES data, GOP and World Food Programme [WFP] (2016) find that\nfood expenditures for 68% of households fall below the minimum cost of a staple-adjusted, locally\navailable nutritious diet (that is, a diet that meets the recommended intake of calories, protein, fat,\nand micronutrients, and contains a daily serving of the main staple, wheat). Among the four\nprovinces, the share of such households varies from a high of 83% in Balochistan to a low of 66%\nin Punjab (the share for Islamabad Capital Territory is 32%).\n\nWorld Bank (2016a) finds that, from 2000–01 to 2013–14, the cost of food rose sharply,\nparticularly in the latter half of that period. Over the full period, food prices rose by 270%,\ncompared to a rise of 180% in nonfood prices.\n\n_Food prices and food consumption_ : Malik, Nazli, and Whitney (2015) find that household demand\nfor most foods is price-inelastic, irrespective of the location (urban or rural) or the economic status\nof the household (poor or nonpoor). Studies have also taken\n\nMention: \"2013–14 national HIES data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"HIES data quantify the share of households whose food spending falls below the cost of a nutritious diet.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007071:18:2", "occurrence_id": "87ff8d8aef246b0c681d2698", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .52|1.21|35.73|26.38|9.35***|\n||Pre-Treatment|Post-Treatment|Diff|Pre-Treatment|Post-Treatment|Diff|\n|Became Single-Shift in 2011|29.40|24.97|4.43|35.34|24.88|10.47***|\n|Became Single-Shift in 2012/2013|20.93|16.52|4.41***|40.80|26.38|14.42***|\n\n\n\nT-test: * significant at 10%; ** significant at 5%; *** significant at 1%\n\nNotes: Items in the house refers to the sum of major household goods in the house of 5th and 9th grade students. The household goods\nconsidered are: TV, stereo, DVD, refrigerator, freezer, car, washing machine and the total number of bathrooms and bedrooms. Mother\neducation refers to % of 5th/9th grade students of which their mother has Tertiary Education. The age-grade distortion is the proportion of\nstudents with more than 2 years of school delay.\n\n\nData sources: Brazilian Ministry of Education.\n\n\n17\n\nMention: \"Brazilian Ministry of Education\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Education-ministry data supply student and school measures used in the single-shift policy table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007088:12:0", "occurrence_id": "5e2d7956e695b30923e2e85d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: where ����� ∆ �������� �����,� is the log change in tradable jobs instrumented by\n\nBartik�,�.\n\n\n**4.** **Data**\n\n\nCounty employment data by industry are from the County Business\n\n\nPatterns (CBP) dataset. Data are from 1998 to 2015, where the NAICS\n\n\nclassification is available. CBP data are recorded in March each year. CBP\n\n\nemployment data at the four-digit industry level are used. County data at the four\n\ndigit industry level are sometimes suppressed for confidentiality reasons.\n\n\nHowever, the Census Bureau provides a range within which the employment\n\n\nnumber lies. As in Mian and Sufi (2014), we take the mean of this range as a\n\n\nproxy for the missing employment number in such cases.\n\n\nFollowing Mian and Sufi (2014), a 4-digit NAICS industry is defined as\n\n\n_tradable_ if it has international imports plus exports equal to at least $10,000 per\n\n\nworker, or if total exports plus imports exceed $500 million. There are 82 four\n\ndigit tradable sectors. They consist of all manufacturing, oil and gas extraction,\n\n\nand mining. Tradable industries on average account for about 15% of a county’s\n\n\ntotal employment. _Construction_ industries are those that are related to\n\n\nconstruction, real estate, or land development. On average, they account for 12%\n\n\nof a county’s workforce. _Retail and restaurants_ include local retailers and\n\n\nrestaurants. On average, they account for 21% of the county’s employment. The\n\n\nremaining industries are classified as _other services_ . They consist of wholesales,\n\n\ntransportation, finance, schools, hospitals etc. They do not include government\n\nservices. On average, they account for about 52% of a county’s workforce. <sup>3</sup>\n\n\n3Please see <u>http://faculty.chicagobooth.edu/amir.sufi/data-and-<\n\nMention: \"County employment data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"County employment counts by industry used to construct employment and tradability measures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007088:12:0", "occurrence_id": "4fa4062f6f96c2dccc79603e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: where ����� ∆ �������� �����,� is the log change in tradable jobs instrumented by\n\nBartik�,�.\n\n\n**4.** **Data**\n\n\nCounty employment data by industry are from the County Business\n\n\nPatterns (CBP) dataset. Data are from 1998 to 2015, where the NAICS\n\n\nclassification is available. CBP data are recorded in March each year. CBP\n\n\nemployment data at the four-digit industry level are used. County data at the four\n\ndigit industry level are sometimes suppressed for confidentiality reasons.\n\n\nHowever, the Census Bureau provides a range within which the employment\n\n\nnumber lies. As in Mian and Sufi (2014), we take the mean of this range as a\n\n\nproxy for the missing employment number in such cases.\n\n\nFollowing Mian and Sufi (2014), a 4-digit NAICS industry is defined as\n\n\n_tradable_ if it has international imports plus exports equal to at least $10,000 per\n\n\nworker, or if total exports plus imports exceed $500 million. There are 82 four\n\ndigit tradable sectors. They consist of all manufacturing, oil and gas extraction,\n\n\nand mining. Tradable industries on average account for about 15% of a county’s\n\n\ntotal employment. _Construction_ industries are those that are related to\n\n\nconstruction, real estate, or land development. On average, they account for 12%\n\n\nof a county’s workforce. _Retail and restaurants_ include local retailers and\n\n\nrestaurants. On average, they account for 21% of the county’s employment. The\n\n\nremaining industries are classified as _other services_ . They consist of wholesales,\n\n\ntransportation, finance, schools, hospitals etc. They do not include government\n\nservices. On average, they account for about 52% of a county’s workforce. <sup>3</sup>\n\n\n3Please see <u>http://faculty.chicagobooth.edu/amir.sufi/data-and-<\n\nMention: \"County Business\n\n\nPatterns (CBP) dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"County Business Patterns dataset supplies annual county-industry employment records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007088:12:0", "occurrence_id": "c0531ef0d72caf393e1268a0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: where ����� ∆ �������� �����,� is the log change in tradable jobs instrumented by\n\nBartik�,�.\n\n\n**4.** **Data**\n\n\nCounty employment data by industry are from the County Business\n\n\nPatterns (CBP) dataset. Data are from 1998 to 2015, where the NAICS\n\n\nclassification is available. CBP data are recorded in March each year. CBP\n\n\nemployment data at the four-digit industry level are used. County data at the four\n\ndigit industry level are sometimes suppressed for confidentiality reasons.\n\n\nHowever, the Census Bureau provides a range within which the employment\n\n\nnumber lies. As in Mian and Sufi (2014), we take the mean of this range as a\n\n\nproxy for the missing employment number in such cases.\n\n\nFollowing Mian and Sufi (2014), a 4-digit NAICS industry is defined as\n\n\n_tradable_ if it has international imports plus exports equal to at least $10,000 per\n\n\nworker, or if total exports plus imports exceed $500 million. There are 82 four\n\ndigit tradable sectors. They consist of all manufacturing, oil and gas extraction,\n\n\nand mining. Tradable industries on average account for about 15% of a county’s\n\n\ntotal employment. _Construction_ industries are those that are related to\n\n\nconstruction, real estate, or land development. On average, they account for 12%\n\n\nof a county’s workforce. _Retail and restaurants_ include local retailers and\n\n\nrestaurants. On average, they account for 21% of the county’s employment. The\n\n\nremaining industries are classified as _other services_ . They consist of wholesales,\n\n\ntransportation, finance, schools, hospitals etc. They do not include government\n\nservices. On average, they account for about 52% of a county’s workforce. <sup>3</sup>\n\n\n3Please see <u>http://faculty.chicagobooth.edu/amir.sufi/data-and-<\n\nMention: \"CBP\n\n\nemployment data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"CBP employment data provide annual four-digit industry counts, with Census Bureau ranges used for suppressed values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007085:3:1", "occurrence_id": "6061f76231ed5b3eb8d0d74e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  argue that there are at least two explanations for the lack of conclusive evidence in the\n\n\nliterature. We hypothesize that the size and type of benefits electrification can bring about are context\n\ndependent. Electricity leads to improved living standards through services provided by electrical\n\n\nappliances. The benefits are likely to be low if the “connected” households do not receive an adequate\n\n\nlevel of services due to unreliable electricity supply. Power outages are particularly a concern in\n\n\ndeveloping countries where businesses report at least 20 hours of electricity outages a month, <sup>2</sup> and\n\n\nmillions of households receive only a few hours of electricity a day. Both technology failures and\n\n\nsystematic power cuts during periods of power shortages cause frequent and long hours of blackouts in\n\n\ndeveloping countries. Poor quality of electricity supply could constrain and even discourage the\n\n\nproductive use of electricity by households and businesses.\n\n\n2 World Bank Enterprise Survey.\n\n\n2\n\nMention: \"World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Enterprise Survey statistics document frequent electricity outages affecting firms in developing countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007105:10:0", "occurrence_id": "93432ab08b93bda4be33bbe5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: The raw nightly data are not directly comparable over time because the satellite\nsensors use dynamic gain settings to maximize contrast and image clarity. Since the\ngain settings are not recorded in the data stream, the 0–63 relative brightness\nvalues cannot be converted to an absolute measure of brightness. To overcome this\nlimitation, we use statistical and image processing procedures to create what we\nrefer to as statistically recalibrated visible (SR-VIS) band data. The SR-VIS data\ntransforms the raw light output measures onto a more comparable scale, enabling\nmore reliable statistical comparisons of cross-sectional and within-unit variation\n(see Appendix for details).\n\n\n**Figure 3: Variability in light output over time can indicate power supply**\n\n**irregularities**\n\n\nNote: Points represent SR-VIS brightness on all nights with good quality data. Bars indicate\nplus and minus one standard deviation from the mean brightness of the village calculated\nfor each calendar year.\n\n\n9\n\nMention: \"SR-VIS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Recalibrated visible-band satellite data support comparisons of nighttime brightness and village-level power-supply variability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007112:6:0", "occurrence_id": "b946fddd7236f9b4fcae9fa7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: skew their portfolios to liquid and other short-term instruments, the full benefits from pension savings on\ndomestic capital market development could be limited.\n\n\nThis paper documents differences in regulation on switching in a number of countries operating DC\npension systems. The paper also studies the extent to which switching between pension providers and\nacross different portfolios affect asset allocation. More precisely, the paper analyses whether pension\nfunds’ holdings in short-term assets is related to outflows resulting from transfers within and across\npension fund providers. Data on pension funds’ portfolios were provided by the regulatory authorities in\nChile; Colombia; Costa Rica; Estonia; Hong Kong SAR, China; Mexico; Peru; Poland; and Romania. <sup>9</sup> [^9: IOPS members from Nigeria and Slovak Republic also kindly provided information for this paper, but as no data\nwere available on switching, it was not possible to include these countries in the paper.]\n\n\nThe remainder of the paper is organized as follows. Section 1 presents the aggregate trends in pension\nfunds’ holdings at different maturities. Section 2 documents outflows from benefit payments and\nswitching. Section 3 studies the relation between switching and portfolio allocations. In addition to\nanalyzing the relation between fund transfers and short-term holdings for the group of countries, the\nsection also presents two empirical exercises for Colombia and Chile where recent events in switching\nprovide two quasi-natural experiments to study the causal effects on portfolio strategies and liquidity\nmanagement. Section 4 concludes and presents several policy recommendations.\n\n\n1. Holdings of short-term assets\n\n\nHoldings of short-term and medium-term assets have declined in all Latin American countries over the\npast decade, with similar trends witnessed in the Central and Eastern Europe region. For the purpose of\nthis paper, short-term assets have been defined as local government treasuries securities < 1-year\nmaturity, local bank term deposits, foreign treasury securities < 1-year maturity and foreign term deposits.\nMedium term assets are defined as those with between 1-5 years maturity. For example, in Chile, while\nshort-term investments accounted for 19% of AUM in\n\nMention: \"the regulatory authorities in\nChile\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Regulatory-authority data on pension-fund portfolios and transfers support analysis of switching and asset allocation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007154:18:2", "occurrence_id": "31ed1bf5424d9bbf518de2df", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >89.8%</mark> <mark>10.2%</mark>\n**50%** 0.67 0.11 0.78 <mark>50.10</mark> <mark>93.1%</mark> <mark>6.9%</mark>\n**<u>0%</u>** <u>0.00</u> <u>0.00</u> <u>1.00</u> <u><mark>69.18</mark></u>\nSource: Authors’ estimations based on Jordan UNHCR data.\n\n\n\n**<u>budget</u>**\n\n\n\n**<u>rate</u>**\n\n\n\n**<u>rate</u>**\n\n\n\n**<u>threshold</u>**\n\n\n\n17\n\nMention: \"Jordan UNHCR data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UNHCR administrative data underpin the authors’ Jordan estimates in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007118:12:1", "occurrence_id": "300b52079af0d51f3b3fbc82", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ) after removing items priced only in supermarkets, (2) after removing clothing and footwear\nitems belonging to a _medium_ or _high_ brand stratum (for brevity, we name them “branded garments &\nfootwear”); and (3) after removing food and nonalcoholic beverage items that we categorized as _premium_\nbeforehand.\n\nWithin each reduced-list scenario, we computed two sets of PPPs for each of the 50 African countries.\nFirst, a full-list set, based on the full basket of items used for collecting prices for the 2011 ICP in Africa,\nand, second, a counterfactual reduced _-_ list set after removing items deemed irrelevant according to each\nscenario. <sup>13</sup> Basic heading PPPs for the two sets, in each of the three scenarios, were estimated using the\n\n\n13 Full-list PPPs were only estimated for expenditure categories for which counterfactual PPPs were also produced. Otherwise, published\n2011 ICP PPPs were used. Hence, the full-list PPPs for the ‘supermarket only’ and ‘premium food and nonalcoholic’ items are equivalent,\nbut differ slightly from the full-list PPPs for the ‘excluding branded clothing & footwear’ scenario.\n\n\n11\n\nMention: \"2011 ICP in Africa\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"ICP price-collection data support full-basket versus reduced-basket PPP estimates across 50 African countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007157:7:0", "occurrence_id": "6431b157b0ab7337fa831014", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6\n\n\n(forthcoming). This data set is analogous to the UN–NBER data set, but provides longer time coverage.\nThe data set contains 45.3 million observations on bilateral trade values and quantities at the SITC 4-digit\n(Revision 1) level. Any given importer-exporter-product-year combination will have more than one\nobservation for the same 4-digit category whenever import quantities are reported using more than one set\nof units. In this case, the multiple sets of import quantities are considered distinct “SITC 4-digit-plus”\nproducts, so that comparable unit values may be obtained within each product category. The total number\nof “SITC 4-digit-plus” products is 835, based on 625 underlying SITC 4-digit categories. <sup>22</sup> Information on\npreferential trade agreements is drawn from the World Trade Organization’s Regional Trade Agreements\ndatabase, and other gravity variables are drawn from CEPII (Head and Mayer, 2013). Data on income per\ncapita are drawn from the Penn World Tables version 9.0 (Feenstra et al., 2015).\n\nReassuringly, the estimation results mirror closely those of Hallak (2006). All coefficients have the\nexpected sign, and are statistically significant in the majority of specifications (Table 1). Moreover, the\ncoefficients are closely comparable to those in Hallak (2006), except for those on the price-importer income\ninteraction, which is as expected because our trade price vector is defined differently. <sup>23</sup>\n\n\n**3.** **EXPORT QUALITY ACROSS PRODUCTS,** **COUNTRIES, AND TIME**\n\n\nThis section illustrates some stylized facts about export quality and provides a flavor of the richness of the\ndata set. First, we compare our quality estimates with standard unit value measures. Second, we focus on\n\nMention: \"UN–NBER data set\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Earlier UN–NBER bilateral-trade dataset provides a comparator for the longer-coverage trade database used here.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007157:7:0", "occurrence_id": "c721eea45478821e7ae08215", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6\n\n\n(forthcoming). This data set is analogous to the UN–NBER data set, but provides longer time coverage.\nThe data set contains 45.3 million observations on bilateral trade values and quantities at the SITC 4-digit\n(Revision 1) level. Any given importer-exporter-product-year combination will have more than one\nobservation for the same 4-digit category whenever import quantities are reported using more than one set\nof units. In this case, the multiple sets of import quantities are considered distinct “SITC 4-digit-plus”\nproducts, so that comparable unit values may be obtained within each product category. The total number\nof “SITC 4-digit-plus” products is 835, based on 625 underlying SITC 4-digit categories. <sup>22</sup> Information on\npreferential trade agreements is drawn from the World Trade Organization’s Regional Trade Agreements\ndatabase, and other gravity variables are drawn from CEPII (Head and Mayer, 2013). Data on income per\ncapita are drawn from the Penn World Tables version 9.0 (Feenstra et al., 2015).\n\nReassuringly, the estimation results mirror closely those of Hallak (2006). All coefficients have the\nexpected sign, and are statistically significant in the majority of specifications (Table 1). Moreover, the\ncoefficients are closely comparable to those in Hallak (2006), except for those on the price-importer income\ninteraction, which is as expected because our trade price vector is defined differently. <sup>23</sup>\n\n\n**3.** **EXPORT QUALITY ACROSS PRODUCTS,** **COUNTRIES, AND TIME**\n\n\nThis section illustrates some stylized facts about export quality and provides a flavor of the richness of the\ndata set. First, we compare our quality estimates with standard unit value measures. Second, we focus on\n\nMention: \"Regional Trade Agreements\ndatabase\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"WTO Regional Trade Agreements database supplies preferential-trade-agreement information.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007157:7:0", "occurrence_id": "7719f8da15e6a7145a5d4112", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6\n\n\n(forthcoming). This data set is analogous to the UN–NBER data set, but provides longer time coverage.\nThe data set contains 45.3 million observations on bilateral trade values and quantities at the SITC 4-digit\n(Revision 1) level. Any given importer-exporter-product-year combination will have more than one\nobservation for the same 4-digit category whenever import quantities are reported using more than one set\nof units. In this case, the multiple sets of import quantities are considered distinct “SITC 4-digit-plus”\nproducts, so that comparable unit values may be obtained within each product category. The total number\nof “SITC 4-digit-plus” products is 835, based on 625 underlying SITC 4-digit categories. <sup>22</sup> Information on\npreferential trade agreements is drawn from the World Trade Organization’s Regional Trade Agreements\ndatabase, and other gravity variables are drawn from CEPII (Head and Mayer, 2013). Data on income per\ncapita are drawn from the Penn World Tables version 9.0 (Feenstra et al., 2015).\n\nReassuringly, the estimation results mirror closely those of Hallak (2006). All coefficients have the\nexpected sign, and are statistically significant in the majority of specifications (Table 1). Moreover, the\ncoefficients are closely comparable to those in Hallak (2006), except for those on the price-importer income\ninteraction, which is as expected because our trade price vector is defined differently. <sup>23</sup>\n\n\n**3.** **EXPORT QUALITY ACROSS PRODUCTS,** **COUNTRIES, AND TIME**\n\n\nThis section illustrates some stylized facts about export quality and provides a flavor of the richness of the\ndata set. First, we compare our quality estimates with standard unit value measures. Second, we focus on\n\nMention: \"CEPII\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CEPII provides additional gravity variables for the trade analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007157:7:0", "occurrence_id": "f65e3ba798e2a94740ba39d4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6\n\n\n(forthcoming). This data set is analogous to the UN–NBER data set, but provides longer time coverage.\nThe data set contains 45.3 million observations on bilateral trade values and quantities at the SITC 4-digit\n(Revision 1) level. Any given importer-exporter-product-year combination will have more than one\nobservation for the same 4-digit category whenever import quantities are reported using more than one set\nof units. In this case, the multiple sets of import quantities are considered distinct “SITC 4-digit-plus”\nproducts, so that comparable unit values may be obtained within each product category. The total number\nof “SITC 4-digit-plus” products is 835, based on 625 underlying SITC 4-digit categories. <sup>22</sup> Information on\npreferential trade agreements is drawn from the World Trade Organization’s Regional Trade Agreements\ndatabase, and other gravity variables are drawn from CEPII (Head and Mayer, 2013). Data on income per\ncapita are drawn from the Penn World Tables version 9.0 (Feenstra et al., 2015).\n\nReassuringly, the estimation results mirror closely those of Hallak (2006). All coefficients have the\nexpected sign, and are statistically significant in the majority of specifications (Table 1). Moreover, the\ncoefficients are closely comparable to those in Hallak (2006), except for those on the price-importer income\ninteraction, which is as expected because our trade price vector is defined differently. <sup>23</sup>\n\n\n**3.** **EXPORT QUALITY ACROSS PRODUCTS,** **COUNTRIES, AND TIME**\n\n\nThis section illustrates some stylized facts about export quality and provides a flavor of the richness of the\ndata set. First, we compare our quality estimates with standard unit value measures. Second, we focus on\n\nMention: \"Penn World Tables\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Penn World Tables version 9.0 supplies per-capita income data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007170:13:0", "occurrence_id": "a0c8578517a6d3b5f23f2f8b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the onset of oil production in 2010, the fiscal deficit narrowed—but only temporarily—to four\n\n\nper cent of GDP in 2011.\n\n\nFigure 1: Fiscal deficit as percentage of GDP, 2000–14\n\n\n\n\n\nSource: Data from Ministry of Finance and Economic Planning, Ghana.\n\n\nThe 2008 elections brought a change of government, from the NPP to the NDC. Notwithstanding\n\n\nthis change, increased pre-election spending also occurred ahead of the 2012 elections, as it had in\n\n2008. Ghana signed on to a further IMF programme in 2009 for the period 2009–12. <sup>3</sup> The\n\nprogramme restored macroeconomic stability, with inflation, the fiscal deficit, the exchange rate,\n\n\nand real GDP growth generally moving in the direction of stability. The IMF programme ended\n\nin mid-2012, and notwithstanding the progress that had been made, and with an election\n\n\napproaching, the authorities decided not to renew it.\n\n\nAs the 2012 presidential and parliamentary elections drew closer, the incumbent NDC government\n\n\ndramatically increased expenditures relative to 2011–14 revenues. While government tax revenue\n\n\n3 This was a Poverty Reduction and Growth Facility arrangement that built on Ghana’s second Poverty Reduction\nStrategy. The main goal of the programme was to eliminate Ghana’s large fiscal imbalances by 2011 and put in place\nstrengthened institutions for public financial management. It was intended to restore macroeconomic stability and\neliminate the most pressing obstacle to continued strong growth and poverty reduction. At the same time, the facility’s\nfiscal consolidation strand was to create the necessary room for manoeuvre, so that when oil revenues came on stream\nin 2011, they could be dedicated to new growth-promoting and poverty-reducing investments that would benefit\nfuture generations, rather than being diverted to unproductive recurrent spending (IMF 2009).\n\n\n12\n\nMention: \"Ministry of Finance and Economic Planning, Ghana\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Ministry data provide the fiscal-deficit series shown for Ghana.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007177:20:0", "occurrence_id": "99dd20bdeb9055e272d8d453", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: extensive research has shown that fish consumption conveys more health benefits than consumption of\n\n\nother animal sources. Nevertheless, our results for Bangladesh clearly indicate a “status bias” favoring\n\n\nnon-fish animal-source food consumption as mothers’ education and household economic status increase.\n\n\nThe education result seems particularly unfortunate, with two possible interpretations: Either current\n\n\nschool instruction pays little attention to the health benefits of fish consumption, or the effect of this\n\n\ninstruction is overwhelmed by the higher status assigned to non-fish protein sources. In any case, our\n\n\nresults for both education and economic status suggest a powerful and perverse “status goods” effect on\n\n\nfish consumption. We believe that these findings have potentially-important implications for health\n\n\neducation policy in Bangladesh.\n\n\n**5. Child Health Impacts**\n\n\nUsing DHS 2011 and 2014, we investigate the incremental health impacts of consuming fish and\n\n\nother animal-source foods (eggs, meat) using an estimation model that includes the following elements:\n\n\n(i) Secular declines in mortality and morbidity risk from improved public health services.\n\n\n(ii) The socioeconomic, temporal and spatial determinants of consumption of animal-source foods\n\n\nincorporated in models (1) and (2): mother’s education; household economic status, seasonal variations in\n\n\nfish supply, and spatial variations in fish supply and consumption norms. After incorporating these\n\n\nvariables (and gender) into the estimation exercise, we also include the animal-food sources themselves.\n\n\nCeteris paribus, the direct estimates for these sources can be interpreted as indicators of individual\n\n\npreferences. Our approach assumes that these preferences are constant through time.\n\n\n(iii) Maternal fish consumption in the immediate pre-partum and post-partum periods. Although we\n\n\ndo not have direct evidence <sup>9</sup>, basic economics suggests that mothers’ fish consumption should also\n\n\n9 We are unable to include direct survey information on maternal fish consumption because the relevant questions were\nexcluded from DHS 2011 and 2014.\n\n\n19\n\nMention: \"DHS 2011 and 2014\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DHS rounds provide household data for estimating effects of fish and other animal-source foods on child health.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007173:6:0", "occurrence_id": "156b2541a42732f7df2188ca", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3\n\n##### **II. Pooled Finance: Rationale, Origin, and Regulatory Context** A. Rationale\n\n\nThe United States has a large and diversified subnational bond market. <sup>6</sup> [^6: In the United States, the use of “subnational” and “municipal” are exchangeable. The municipal capital market also includes\nsecurities issued by the states or special purpose vehicles of the states.] Each year, about 44,000 SNGs\nissue bonds in an average aggregate amount of $359 billion per annum from 2013 to 2016. <sup>7</sup> [^7: The Securities and Exchange Commission estimated around 44,000 sub-national issuers of municipal debt in 2011. See\nU.S. Securities and Exchange Commission 2012. Average issuance taken from Electronic Municipal Market Access:\n<u>http://emma.msrb.org/MarketActivity/ViewStatistics.aspx.</u>] Total debt\noutstanding was $3.069 trillion in the third quarter of 2016 (Congressional Research Service 2016).\n\n\nDespite an active and robust municipal finance market, small municipalities face challenges in\naccessing capital markets. Many small municipalities need to borrow a relatively small amount of capital.\nFor example, the median size of borrowing from the Maine Municipal Bond Bank from 2012-2016 is\n$854,000, with the smallest amount only $30,000. For the lowest 50% of loans, the average size of a loan\nis $425,000. In New Hampshire, the median-size loan from 2008-2016 was $1.3 million, with the smallest\namount $41,000 and the largest $37 million. <sup>8</sup> [^8: Author’s calculations based on publicly-available documentation in the New Hampshire and Maine bond issues and\nwebsites. The New Hampshire values are based on total outstanding loans as of the 2016 Series A issue.] The process of hiring necessary specialized professionals\nincluding an investment bank\n\nMention: \"Electronic Municipal Market Access\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Electronic Municipal Market Access data supply average annual municipal-bond issuance figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007173:6:0", "occurrence_id": "4962d8cff540b69bad8a4416", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3\n\n##### **II. Pooled Finance: Rationale, Origin, and Regulatory Context** A. Rationale\n\n\nThe United States has a large and diversified subnational bond market. <sup>6</sup> [^6: In the United States, the use of “subnational” and “municipal” are exchangeable. The municipal capital market also includes\nsecurities issued by the states or special purpose vehicles of the states.] Each year, about 44,000 SNGs\nissue bonds in an average aggregate amount of $359 billion per annum from 2013 to 2016. <sup>7</sup> [^7: The Securities and Exchange Commission estimated around 44,000 sub-national issuers of municipal debt in 2011. See\nU.S. Securities and Exchange Commission 2012. Average issuance taken from Electronic Municipal Market Access:\n<u>http://emma.msrb.org/MarketActivity/ViewStatistics.aspx.</u>] Total debt\noutstanding was $3.069 trillion in the third quarter of 2016 (Congressional Research Service 2016).\n\n\nDespite an active and robust municipal finance market, small municipalities face challenges in\naccessing capital markets. Many small municipalities need to borrow a relatively small amount of capital.\nFor example, the median size of borrowing from the Maine Municipal Bond Bank from 2012-2016 is\n$854,000, with the smallest amount only $30,000. For the lowest 50% of loans, the average size of a loan\nis $425,000. In New Hampshire, the median-size loan from 2008-2016 was $1.3 million, with the smallest\namount $41,000 and the largest $37 million. <sup>8</sup> [^8: Author’s calculations based on publicly-available documentation in the New Hampshire and Maine bond issues and\nwebsites. The New Hampshire values are based on total outstanding loans as of the 2016 Series A issue.] The process of hiring necessary specialized professionals\nincluding an investment bank\n\nMention: \"U.S. Securities and Exchange Commission 2012\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"SEC estimate provides context on the number of subnational municipal-debt issuers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007173:6:0", "occurrence_id": "278ebd232f2b5d855408dbe1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3\n\n##### **II. Pooled Finance: Rationale, Origin, and Regulatory Context** A. Rationale\n\n\nThe United States has a large and diversified subnational bond market. <sup>6</sup> [^6: In the United States, the use of “subnational” and “municipal” are exchangeable. The municipal capital market also includes\nsecurities issued by the states or special purpose vehicles of the states.] Each year, about 44,000 SNGs\nissue bonds in an average aggregate amount of $359 billion per annum from 2013 to 2016. <sup>7</sup> [^7: The Securities and Exchange Commission estimated around 44,000 sub-national issuers of municipal debt in 2011. See\nU.S. Securities and Exchange Commission 2012. Average issuance taken from Electronic Municipal Market Access:\n<u>http://emma.msrb.org/MarketActivity/ViewStatistics.aspx.</u>] Total debt\noutstanding was $3.069 trillion in the third quarter of 2016 (Congressional Research Service 2016).\n\n\nDespite an active and robust municipal finance market, small municipalities face challenges in\naccessing capital markets. Many small municipalities need to borrow a relatively small amount of capital.\nFor example, the median size of borrowing from the Maine Municipal Bond Bank from 2012-2016 is\n$854,000, with the smallest amount only $30,000. For the lowest 50% of loans, the average size of a loan\nis $425,000. In New Hampshire, the median-size loan from 2008-2016 was $1.3 million, with the smallest\namount $41,000 and the largest $37 million. <sup>8</sup> [^8: Author’s calculations based on publicly-available documentation in the New Hampshire and Maine bond issues and\nwebsites. The New Hampshire values are based on total outstanding loans as of the 2016 Series A issue.] The process of hiring necessary specialized professionals\nincluding an investment bank\n\nMention: \"Congressional Research Service 2016\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Congressional Research Service source for total municipal debt outstanding.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007182:2:0", "occurrence_id": "25b667cd450a2b45c833f5b4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **Introducing a Performance-Based School Grant in Jakarta:** **What Do We Know about Its Impact after Two Years?**\n\nSamer Al-Samarrai <sup>*</sup>, Unika Shrestha <sup>*</sup>, Amer Hasan <sup>*</sup>, Nozomi Nakajima <sup></sup>, Santoso Santoso <sup>*</sup> and\n\nWisnu Harto Adi Wijoyo <sup>*</sup>\n\n\n**JEL classification codes:** C21 **,** D73, I22, I28\n**Keywords:** Education, quality of education, results-based management in the public sector, education\nfunding formulae\n\n\n- Education Global Practice, World Bank Group, 1818 H Street, NW, Washington, DC 20433\n Harvard Graduate School of Education, Harvard University, <mark>13 Appian Way, Cambridge, MA 02138</mark>\n<mark>Acknowledgements: The data on the UN examination scores was provided by PUSPENDIK (Pusat Penilaian</mark>\n<mark>Pendidikan) of the Ministry of Education and Culture (MoEC). The authors are grateful to Professor Ir Nizam and Dr</mark>\n<mark>A. Suprananto of PUSPENDI for providing and aiding the team’s understanding of this data. The data on education</mark>\n<mark>indicators for metropolitan areas was provided by the PDSPK (Pusat Data Statistik Pendidikan dan Kebudayaan) team</mark>\n<mark>in MoEC. The authors acknowledge the enormous amount of help provided by Dr. Ir. Bastari, Ir. Sit\n\nMention: \"data on the UN examination scores\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National examination scores used to evaluate the performance-based school-grant program.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007182:2:0", "occurrence_id": "0bfcf4f702eb3ace1967a815", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **Introducing a Performance-Based School Grant in Jakarta:** **What Do We Know about Its Impact after Two Years?**\n\nSamer Al-Samarrai <sup>*</sup>, Unika Shrestha <sup>*</sup>, Amer Hasan <sup>*</sup>, Nozomi Nakajima <sup></sup>, Santoso Santoso <sup>*</sup> and\n\nWisnu Harto Adi Wijoyo <sup>*</sup>\n\n\n**JEL classification codes:** C21 **,** D73, I22, I28\n**Keywords:** Education, quality of education, results-based management in the public sector, education\nfunding formulae\n\n\n- Education Global Practice, World Bank Group, 1818 H Street, NW, Washington, DC 20433\n Harvard Graduate School of Education, Harvard University, <mark>13 Appian Way, Cambridge, MA 02138</mark>\n<mark>Acknowledgements: The data on the UN examination scores was provided by PUSPENDIK (Pusat Penilaian</mark>\n<mark>Pendidikan) of the Ministry of Education and Culture (MoEC). The authors are grateful to Professor Ir Nizam and Dr</mark>\n<mark>A. Suprananto of PUSPENDI for providing and aiding the team’s understanding of this data. The data on education</mark>\n<mark>indicators for metropolitan areas was provided by the PDSPK (Pusat Data Statistik Pendidikan dan Kebudayaan) team</mark>\n<mark>in MoEC. The authors acknowledge the enormous amount of help provided by Dr. Ir. Bastari, Ir. Sit\n\nMention: \"PDSPK\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"PDSPK supplied metropolitan-area education indicators for the study.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007189:44:3", "occurrence_id": "2ab6e856721444167c73bae3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *** 26.7***\n<u>Divorced</u> <u>46.5***</u> <u>70.3***</u> <u>50.9***</u> <u>4.9***</u> <u>59.6***</u> <u>38.1***</u> <u>21.4*</u> <u>38.3***</u> <u>36.4***</u> <u>15.5***</u>\n\nNote: The table shows the % of women in each marital status answering positively to each question. “Has no say” is defined as answering that each decision is\ntaken by either the husband/partner alone or by someone else. Divorced includes separated women. Significance tests are relative to once-married women, where\n*** p<0.01, ** p<0.05, * p<0.1.\nSample: ever-married women, aged 15-49\nSource: Authors’ calculations using Senegal’s 2005 DHS.\n\n\n43\n\nMention: \"Senegal’s 2005 DHS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DHS household survey supports analysis of women’s decision-making by marital status.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007279:31:2", "occurrence_id": "935efda53e11ccafd18d5a8a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  using 1-2-3 survey data.\n\n_Note:_ Means and percentages are weighted using sampling weights. Percentages of characteristics of interest are presented in the\nupper panel. For the bottom panel, the first segment presents means of firms characteristics while the second shows percentages\nregarding endowments in infrastructure and locations of firms.\n\n\n**Figure A.4. Location of Activities, Informal Firms**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n_Source:_ Calculations using 1-2-3 Survey data\n\n\n\n30\n\nMention: \"1-2-3 Survey data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Survey data support analysis of firm characteristics, infrastructure, and the location of informal activities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007251:10:0", "occurrence_id": "84f464c38afe44bf997c309d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2003), three major composite indicators of corruption are used extensively in this\n\n\nanalysis: (1) Transparency International’s ‘Corruption Perceptions Index’ (CPI), which\n\n\nfocuses on overall political corruption; (2) the World Bank’s ‘Control of Corruption’\n\n\n(CC) dimension of governance, which is a broader measure of public sector corruption;\n\n\nand (3) the World Bank’s ‘Government Effectiveness’, a dimension of governance\n\n\nmuch more focused on the non-elected public sector.\n\n\n**(i)** **The Corruptions Perception Index**\n\n\nThe first major, freely available, and cross-national measure of corruption is\n\n\nTransparency International’s annual ‘Corruption Perceptions Index’. The aim of this\n\n\nindex is to measure the abuse of ‘entrusted power for private gain’ (Transparency\n\n\nInternational, 2011). Each country receives a score, which can range from 0 (extremely\n\n\ncorrupt) to 10 (no corruption) and individual country scores are developed by\n\n\naggregating and averaging normalized scores of ‘corruption related data’ emanating\n\n\nfrom a variety of sources. <sup>6</sup> [^6: The 2010 scores were calculated using data from 13 different surveys or assessments produced by 10\nindependent organizations (Transparency International, 2011).] The aim of the index is to provide a measure of the extent to\n\n\nwhich public sector bureaucrats and politicians engage in corruption (Transparency\n\n\nInternational, 2011). It is thus a potentially noisy but valid measure of the level of\n\n\ncorruption in a given country:\n\n\n_“The Corruption Perceptions Index…captures information about the_\n\n\n_administrative and political aspects of corruption.”_\n\n\nConsistent with this definition, as Table 1 shows, most of the representative\n\n\ncomponents of the CPI are concerned with capturing: both the abuse of public office by\n\n\npoliticians (potentially elected) and unelected officials (e.g. ‘bribing and corruption that\n\n\nexists in the public sphere’); see Table 1. Specifically, seven of the eight representative\n\n\nsources of the CPI\n\nMention: \"Corruption Perceptions Index\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Annual corruption-perception index aggregates country scores from multiple surveys and assessments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007251:10:0", "occurrence_id": "c159fe335fc0a34004c8be17", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2003), three major composite indicators of corruption are used extensively in this\n\n\nanalysis: (1) Transparency International’s ‘Corruption Perceptions Index’ (CPI), which\n\n\nfocuses on overall political corruption; (2) the World Bank’s ‘Control of Corruption’\n\n\n(CC) dimension of governance, which is a broader measure of public sector corruption;\n\n\nand (3) the World Bank’s ‘Government Effectiveness’, a dimension of governance\n\n\nmuch more focused on the non-elected public sector.\n\n\n**(i)** **The Corruptions Perception Index**\n\n\nThe first major, freely available, and cross-national measure of corruption is\n\n\nTransparency International’s annual ‘Corruption Perceptions Index’. The aim of this\n\n\nindex is to measure the abuse of ‘entrusted power for private gain’ (Transparency\n\n\nInternational, 2011). Each country receives a score, which can range from 0 (extremely\n\n\ncorrupt) to 10 (no corruption) and individual country scores are developed by\n\n\naggregating and averaging normalized scores of ‘corruption related data’ emanating\n\n\nfrom a variety of sources. <sup>6</sup> [^6: The 2010 scores were calculated using data from 13 different surveys or assessments produced by 10\nindependent organizations (Transparency International, 2011).] The aim of the index is to provide a measure of the extent to\n\n\nwhich public sector bureaucrats and politicians engage in corruption (Transparency\n\n\nInternational, 2011). It is thus a potentially noisy but valid measure of the level of\n\n\ncorruption in a given country:\n\n\n_“The Corruption Perceptions Index…captures information about the_\n\n\n_administrative and political aspects of corruption.”_\n\n\nConsistent with this definition, as Table 1 shows, most of the representative\n\n\ncomponents of the CPI are concerned with capturing: both the abuse of public office by\n\n\npoliticians (potentially elected) and unelected officials (e.g. ‘bribing and corruption that\n\n\nexists in the public sphere’); see Table 1. Specifically, seven of the eight representative\n\n\nsources of the CPI\n\nMention: \"Control of Corruption\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"World Bank Control of Corruption indicator provides a broader measure of public-sector corruption.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007251:10:0", "occurrence_id": "9833b74d6ca88491de0d326f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2003), three major composite indicators of corruption are used extensively in this\n\n\nanalysis: (1) Transparency International’s ‘Corruption Perceptions Index’ (CPI), which\n\n\nfocuses on overall political corruption; (2) the World Bank’s ‘Control of Corruption’\n\n\n(CC) dimension of governance, which is a broader measure of public sector corruption;\n\n\nand (3) the World Bank’s ‘Government Effectiveness’, a dimension of governance\n\n\nmuch more focused on the non-elected public sector.\n\n\n**(i)** **The Corruptions Perception Index**\n\n\nThe first major, freely available, and cross-national measure of corruption is\n\n\nTransparency International’s annual ‘Corruption Perceptions Index’. The aim of this\n\n\nindex is to measure the abuse of ‘entrusted power for private gain’ (Transparency\n\n\nInternational, 2011). Each country receives a score, which can range from 0 (extremely\n\n\ncorrupt) to 10 (no corruption) and individual country scores are developed by\n\n\naggregating and averaging normalized scores of ‘corruption related data’ emanating\n\n\nfrom a variety of sources. <sup>6</sup> [^6: The 2010 scores were calculated using data from 13 different surveys or assessments produced by 10\nindependent organizations (Transparency International, 2011).] The aim of the index is to provide a measure of the extent to\n\n\nwhich public sector bureaucrats and politicians engage in corruption (Transparency\n\n\nInternational, 2011). It is thus a potentially noisy but valid measure of the level of\n\n\ncorruption in a given country:\n\n\n_“The Corruption Perceptions Index…captures information about the_\n\n\n_administrative and political aspects of corruption.”_\n\n\nConsistent with this definition, as Table 1 shows, most of the representative\n\n\ncomponents of the CPI are concerned with capturing: both the abuse of public office by\n\n\npoliticians (potentially elected) and unelected officials (e.g. ‘bribing and corruption that\n\n\nexists in the public sphere’); see Table 1. Specifically, seven of the eight representative\n\n\nsources of the CPI\n\nMention: \"Government Effectiveness\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"World Bank Government Effectiveness indicator measures the non-elected public sector.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007290:9:0", "occurrence_id": "c08394306a989dca3939604e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 8\n\n\nwhich account for the greater share of poverty reduction. But this in turn raises the question—if the\nmove to the big city is expected to raise income by far more, why would anyone move to the small town\nat all, especially since the difference in poverty incidence at baseline (an indicator of credit constraint)\nbetween town and city migrants is relatively small in the national data or even zero in the case of the\nKHDS sample.\n\n\nOne obvious explanation may relate to selectivity. This would hold that it is especially the more\neducated and the more entrepreneurial, who are smaller in number, that make it to and in the city,\nwhere the returns to skills also tend to be higher (Young, 2013; Diamond, 2016; Hicks et al., 2017). There\nare some signs of that. The KHDS data set shows a clear education gradient with respect to migration\ndestination. Out of migrants from rural origins, who are no longer in school, those moving to other rural\nareas have an average of 6 years of formal education, those who moved to secondary towns 7 years,\nand those who moved to cities 8 years. Ninety‐three percent of those moving to the city have\ncompleted primary, while only 65% and 79% of those moving to rural locations and secondary towns,\nrespectively, have completed primary. The city disproportionately attracts people with more years of\nformal schooling. This is also consistent with the larger gain in income among those moving to the city.\n\n\nYet, the fact that more of the better educated end up in the cities does not necessarily imply\nthat there are no extra income gains from moving to the city for the less educated, compared with\nmoving to the towns. <sup>14</sup> To get a more systematic handle on the question as to why, in equilibrium, more\nrural people move to towns, even though the gains are larger when moving to the city, the next section\nbuilds on the insights from\n\nMention: \"KHDS sample\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"KHDS sample supplies baseline poverty-incidence comparisons for rural, town, and city migrants.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007290:9:0", "occurrence_id": "b707faa48d9daaef6e2b9b50", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 8\n\n\nwhich account for the greater share of poverty reduction. But this in turn raises the question—if the\nmove to the big city is expected to raise income by far more, why would anyone move to the small town\nat all, especially since the difference in poverty incidence at baseline (an indicator of credit constraint)\nbetween town and city migrants is relatively small in the national data or even zero in the case of the\nKHDS sample.\n\n\nOne obvious explanation may relate to selectivity. This would hold that it is especially the more\neducated and the more entrepreneurial, who are smaller in number, that make it to and in the city,\nwhere the returns to skills also tend to be higher (Young, 2013; Diamond, 2016; Hicks et al., 2017). There\nare some signs of that. The KHDS data set shows a clear education gradient with respect to migration\ndestination. Out of migrants from rural origins, who are no longer in school, those moving to other rural\nareas have an average of 6 years of formal education, those who moved to secondary towns 7 years,\nand those who moved to cities 8 years. Ninety‐three percent of those moving to the city have\ncompleted primary, while only 65% and 79% of those moving to rural locations and secondary towns,\nrespectively, have completed primary. The city disproportionately attracts people with more years of\nformal schooling. This is also consistent with the larger gain in income among those moving to the city.\n\n\nYet, the fact that more of the better educated end up in the cities does not necessarily imply\nthat there are no extra income gains from moving to the city for the less educated, compared with\nmoving to the towns. <sup>14</sup> To get a more systematic handle on the question as to why, in equilibrium, more\nrural people move to towns, even though the gains are larger when moving to the city, the next section\nbuilds on the insights from\n\nMention: \"KHDS data set\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"KHDS data reveal an education gradient in migrants’ destination and years of schooling.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007303:18:2", "occurrence_id": "992a6fa822cc16e162b3bf86", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  therefore\n\n\nonly suggestive of key factors. We further investigate some of these factors in the next two sections.\n\n\n4.1.2 Cognitive Skills\n\n\nLower productivity could stem from a shortage of skills among women in the Northern and Eastern\n\n\nprovinces. A main source of information on cognitive skills in Sri Lanka is the Skills Towards Employment\n\n\nand Productivity (STEP) surveys, which asked skills‐related questions in a variety of countries.\n\n\nRespondents are asked to read passages and answer simple questions about them to test their reading\n\n\ncomprehension and are also asked to report how frequently they use reading, writing, and numeracy\n\n\nskills.\n\n\nAnalysis from the 2012 Sri Lanka survey suggests that women in the Northern and Eastern provinces have\n\n\npoorer reading skills, measured objectively, as well as lower self‐reported writing and numeracy skills than\n\n\nin the rest of the country. Figures 13‐15 present a comparison of self‐reported and objectively measured\n\n\nskill levels in reading of men and women in Northern, Eastern, Western, and other provinces. The bars in\n\n\nFigure 13a represent the percentage of respondents that report never using a specific skill in the previous\n\n\n17\n\nMention: \"Skills Towards Employment\n\n\nand Productivity (STEP) surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Skills Towards Employment and Productivity survey measures objective reading comprehension and self-reported literacy/numeracy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007320:16:0", "occurrence_id": "552bfb55222be421250338b2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the estimated coefficients _β_ <sup>ˆ</sup> _nc_ are used to predict the expenditure levels that households\nliving in conflict areas could potentially have if they migrated to non-conflict-affected areas\n(Equation 9). We then use Duan’s smearing re-transformation to obtain levels of expenditure starting from the predicted log expenditures (Duan, 1983).\n\nAs a second step, the observed distribution of expenditure per capita of people living\nin conflict areas is compared with the distribution of predicted values for the same people\nif they migrated to non-conflict areas. Figure 8 shows the results using the 2016 GHS\ndata. It is clear that the two curves cross in one point splitting the samples into two\nparts. The left end side of the CDFs shows that the curve of predicted values (gains from\nleaving) dominates the curve of observed values (gains from staying). The QM model\nwould therefore predict that maxmin (risk averse) individuals who focus on the left hand\nside of the distrbutions (low gains) would opt to leave. Instead, the opposite is true for the\nright end side of the CDFs. In this case, the QM model would predict that maxmax (risk\ntolerant) individuals who focus on the higher end of the distributions (high gains) would\nopt to stay. As shown in the right hand panel of Figure 8, these differences are statistically\nsignificant. Therefore, the QM model predicts maxmin (risk-averse) individuals to leave\nand maxmax (risk-tolerant) individuals to stay.\n\nAs a third step, we test whether these QM predictions match reality. We test whether\nrisk-averse (maxmin) individuals are effectively associated with migrating and risk-tolerant\n(maxmax) individuals are effectively associated with staying. Recall that migrants are\ndefined as those households who have changed LGA at some point in time during the six\npanel waves and that risk\n\nMention: \"2016 GHS\ndata\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GHS household expenditure data compare observed welfare with predicted gains from migration out of conflict areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007310:53:2", "occurrence_id": "3403c2d1f17ea1f0dbf58cf7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  columns is smaller than in the odd\ncolumns. This is because the ISIC2 interactive fixed effect specification drops all cells where there does not\nexist more than one ISIC3-country-year observation within a ISIC2-country-year observation. The sample\ndrop occurs in industries that are less specialized, which are more prevalent in less developed countries.\nIn columns (5) & (6), we instrument for the World Bank size rank using the US Census size-rank. The Fstatistic comes from the first stage rank-rank regression of World Bank size rank on US Census size rank.The\ntax compliance question was only administered in the earlier waves of the WBES surveys which were not\nstructured as panels. Hence, we cannot estimate panel models for the tax compliance outcomes.\n\n\n51\n\nMention: \"US Census size-rank\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"U.S. Census size ranks instrument World Bank size ranks in firm-level regressions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007310:53:2", "occurrence_id": "6fb9491d1aac7542f7bd5d5e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  columns is smaller than in the odd\ncolumns. This is because the ISIC2 interactive fixed effect specification drops all cells where there does not\nexist more than one ISIC3-country-year observation within a ISIC2-country-year observation. The sample\ndrop occurs in industries that are less specialized, which are more prevalent in less developed countries.\nIn columns (5) & (6), we instrument for the World Bank size rank using the US Census size-rank. The Fstatistic comes from the first stage rank-rank regression of World Bank size rank on US Census size rank.The\ntax compliance question was only administered in the earlier waves of the WBES surveys which were not\nstructured as panels. Hence, we cannot estimate panel models for the tax compliance outcomes.\n\n\n51\n\nMention: \"WBES surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Earlier non-panel WBES waves supply tax-compliance data, precluding panel estimation for that outcome.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007357:9:1", "occurrence_id": "fc2ceeed9e55230709be8c6c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  22 members of the Arab League, a review of Trends and Policy Reforms (Price and others,\n2017). For longevity comparisons, there is the UN’s World Population Prospects (UNDESA, 2015), and for\nlong‐run international comparisons of asset returns in 22 countries since 1900, the London Business\nSchool, Credit Suisse Global Investment Year Book (Dimson, Marsh and Staunton, 2016).\n\n\nThere are many organizations that provide regular international comparisons in the form of a league table\nthat can provide some comparative information, such as the Melbourne Mercer Global Pension Index\n(Mercer, 2016) or the Global Aging Index (2013, 2015). Reducing a pension system to a single number is\nobviously aimed at creating debate and discussion – but the reports are perhaps even more useful for the\nin‐depth discussion of the characteristics of each country. In recent years, the World Bank has partnered\nwith the OECD and IOPS annual pension statistics exercise with the aim of making its coverage increasingly\ncomprehensive. It is worth highlighting a note of caution with any regional or international comparison of\npension systems. It is a heroic effort to keep up with the number of changes in a typical pension system,\nto be sure that administrative data sources are accurate, the latest surveys are representative, or to do\nfull justice to the complexities and nuances below broadly comparable descriptions. So, they can and\nshould be used to look at big picture trends and areas for development, but it is important to validate the\ndata and conclusions with a thorough technical review of a country when developing reforms.\n\n##### **3. The first design question for how to deliver private pensions**\n\n\nBefore getting to questions of contribution rates, accruals, investment strategy and payout phases it is\nimportant to have a rigorous focus on each part of the pension value chain. How will individuals and\nemployers be identified, enrolled, make contributions, have their accounts created and managed, their\ninvestment strategies developed\n\nMention: \"Melbourne Mercer Global Pension Index\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Global Pension Index provides a comparative pension-system benchmark.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007357:9:1", "occurrence_id": "bd5d917ee06270188fae69fb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  22 members of the Arab League, a review of Trends and Policy Reforms (Price and others,\n2017). For longevity comparisons, there is the UN’s World Population Prospects (UNDESA, 2015), and for\nlong‐run international comparisons of asset returns in 22 countries since 1900, the London Business\nSchool, Credit Suisse Global Investment Year Book (Dimson, Marsh and Staunton, 2016).\n\n\nThere are many organizations that provide regular international comparisons in the form of a league table\nthat can provide some comparative information, such as the Melbourne Mercer Global Pension Index\n(Mercer, 2016) or the Global Aging Index (2013, 2015). Reducing a pension system to a single number is\nobviously aimed at creating debate and discussion – but the reports are perhaps even more useful for the\nin‐depth discussion of the characteristics of each country. In recent years, the World Bank has partnered\nwith the OECD and IOPS annual pension statistics exercise with the aim of making its coverage increasingly\ncomprehensive. It is worth highlighting a note of caution with any regional or international comparison of\npension systems. It is a heroic effort to keep up with the number of changes in a typical pension system,\nto be sure that administrative data sources are accurate, the latest surveys are representative, or to do\nfull justice to the complexities and nuances below broadly comparable descriptions. So, they can and\nshould be used to look at big picture trends and areas for development, but it is important to validate the\ndata and conclusions with a thorough technical review of a country when developing reforms.\n\n##### **3. The first design question for how to deliver private pensions**\n\n\nBefore getting to questions of contribution rates, accruals, investment strategy and payout phases it is\nimportant to have a rigorous focus on each part of the pension value chain. How will individuals and\nemployers be identified, enrolled, make contributions, have their accounts created and managed, their\ninvestment strategies developed\n\nMention: \"Global Aging Index\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Global Aging Index offers another international pension/aging-system comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007357:9:1", "occurrence_id": "264a3ea66de7e7cc6fa93ffe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  22 members of the Arab League, a review of Trends and Policy Reforms (Price and others,\n2017). For longevity comparisons, there is the UN’s World Population Prospects (UNDESA, 2015), and for\nlong‐run international comparisons of asset returns in 22 countries since 1900, the London Business\nSchool, Credit Suisse Global Investment Year Book (Dimson, Marsh and Staunton, 2016).\n\n\nThere are many organizations that provide regular international comparisons in the form of a league table\nthat can provide some comparative information, such as the Melbourne Mercer Global Pension Index\n(Mercer, 2016) or the Global Aging Index (2013, 2015). Reducing a pension system to a single number is\nobviously aimed at creating debate and discussion – but the reports are perhaps even more useful for the\nin‐depth discussion of the characteristics of each country. In recent years, the World Bank has partnered\nwith the OECD and IOPS annual pension statistics exercise with the aim of making its coverage increasingly\ncomprehensive. It is worth highlighting a note of caution with any regional or international comparison of\npension systems. It is a heroic effort to keep up with the number of changes in a typical pension system,\nto be sure that administrative data sources are accurate, the latest surveys are representative, or to do\nfull justice to the complexities and nuances below broadly comparable descriptions. So, they can and\nshould be used to look at big picture trends and areas for development, but it is important to validate the\ndata and conclusions with a thorough technical review of a country when developing reforms.\n\n##### **3. The first design question for how to deliver private pensions**\n\n\nBefore getting to questions of contribution rates, accruals, investment strategy and payout phases it is\nimportant to have a rigorous focus on each part of the pension value chain. How will individuals and\nemployers be identified, enrolled, make contributions, have their accounts created and managed, their\ninvestment strategies developed\n\nMention: \"World Population Prospects\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Population Prospects provides population/longevity data for international comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007357:9:1", "occurrence_id": "3648279a93d7ea2a52b5ebe9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  22 members of the Arab League, a review of Trends and Policy Reforms (Price and others,\n2017). For longevity comparisons, there is the UN’s World Population Prospects (UNDESA, 2015), and for\nlong‐run international comparisons of asset returns in 22 countries since 1900, the London Business\nSchool, Credit Suisse Global Investment Year Book (Dimson, Marsh and Staunton, 2016).\n\n\nThere are many organizations that provide regular international comparisons in the form of a league table\nthat can provide some comparative information, such as the Melbourne Mercer Global Pension Index\n(Mercer, 2016) or the Global Aging Index (2013, 2015). Reducing a pension system to a single number is\nobviously aimed at creating debate and discussion – but the reports are perhaps even more useful for the\nin‐depth discussion of the characteristics of each country. In recent years, the World Bank has partnered\nwith the OECD and IOPS annual pension statistics exercise with the aim of making its coverage increasingly\ncomprehensive. It is worth highlighting a note of caution with any regional or international comparison of\npension systems. It is a heroic effort to keep up with the number of changes in a typical pension system,\nto be sure that administrative data sources are accurate, the latest surveys are representative, or to do\nfull justice to the complexities and nuances below broadly comparable descriptions. So, they can and\nshould be used to look at big picture trends and areas for development, but it is important to validate the\ndata and conclusions with a thorough technical review of a country when developing reforms.\n\n##### **3. The first design question for how to deliver private pensions**\n\n\nBefore getting to questions of contribution rates, accruals, investment strategy and payout phases it is\nimportant to have a rigorous focus on each part of the pension value chain. How will individuals and\nemployers be identified, enrolled, make contributions, have their accounts created and managed, their\ninvestment strategies developed\n\nMention: \"Credit Suisse Global Investment Year Book\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Investment Year Book provides long-run asset-return comparisons across 22 countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007368:20:0", "occurrence_id": "196b3d3121fd1ccd62ec3533", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 10c. Working 20 and more hours a\nweek and with security of tenure\n\n\nThe conversion of the inequality index into an effective penalty factor could be applied directly\nto adjust the coverage rate. Such a penalty factor would be constructed by interacting the\ninequality index with coverage rates for good jobs (the D-index, multiplied by the coverage rate).\nAny differences between the coverage rate and the inequality-adjusted coverage rate—the\npenalty factor—would arise from between-group inequality, illustrating the influence of\ninequality on obtaining good jobs. Indeed, in Eastern Europe and Central Asia, Azerbaijan would\nbe associated with the highest between-group inequality penalty factor (10 percentage points) in\nacquiring a good job involving work for 20 hours or more a week (figure 11). The penalty factors\nfor this type of good job in Armenia and Georgia would be 7.6 and 6.6 percentage points,\nrespectively, while the average in the 2015 LiTS countries would be 6.6 percentage points. The\nhigh penalty factors in the countries of South Caucasus is remarkable because it implies that the\ninequality in access overwhelmingly offsets the low coverage rates in these countries. The penalty\nfactors associated with good jobs involving work for 20 hours or more a week with contracts or\nwith tenure are lower than the one involving only work for 20 hours or more a week (figure 11).\nIn these stricter categories of good jobs, the penalty factors among the countries of South\nCaucasus are generally below the average among the 34 countries surveyed in the 2015 LiTS,\nwhich is as expected given the low coverage rates in the former.\n\n\n19\n\nMention: \"2015 LiTS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"LiTS survey data estimate inequality-adjusted access to good jobs across surveyed countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007400:40:0", "occurrence_id": "4015f29f9187e46ce00faba4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure** **1**\nTimeline of data sources, with count of villages receiving new roads\n\n\n11107 10972 10758\n\n\n9668\n\n\n\n9333\n\n\n\n8088\n\n\n\n7922\n\n\n\n6935\n\n\n\n6890\n6424\n\n\n\n5760 5712\n\n5152\n\n\n2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014\n\n\n\n\n\n\n\n\n\n\n\nPopulation\n\nCensus\n\n\n\nSocioeconomic\n\nand Caste\n\nCensus\n\n\n\nNotes: The figure shows the timing of the population, economic and poverty censuses of India used as principal data sources. Note that while the Socioeconomic\nand Caste Census (SECC) was intended to be conducted exclusively in 2011, and\nit is often referred to with this year, it was conducted primarily in 2012. The bar\ngraph above represents the number of villages receiving PMGSY roads in each\nyear in our full village-level dataset. Exact counts are also listed.\n\n\n39\n\nMention: \"Population\n\nCensus\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Population-census counts support village-level road and population analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007400:40:0", "occurrence_id": "5d891abde4865889659dc400", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure** **1**\nTimeline of data sources, with count of villages receiving new roads\n\n\n11107 10972 10758\n\n\n9668\n\n\n\n9333\n\n\n\n8088\n\n\n\n7922\n\n\n\n6935\n\n\n\n6890\n6424\n\n\n\n5760 5712\n\n5152\n\n\n2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014\n\n\n\n\n\n\n\n\n\n\n\nPopulation\n\nCensus\n\n\n\nSocioeconomic\n\nand Caste\n\nCensus\n\n\n\nNotes: The figure shows the timing of the population, economic and poverty censuses of India used as principal data sources. Note that while the Socioeconomic\nand Caste Census (SECC) was intended to be conducted exclusively in 2011, and\nit is often referred to with this year, it was conducted primarily in 2012. The bar\ngraph above represents the number of villages receiving PMGSY roads in each\nyear in our full village-level dataset. Exact counts are also listed.\n\n\n39\n\nMention: \"Socioeconomic\n\nand Caste\n\nCensus\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Socioeconomic and Caste Census data provide poverty and socioeconomic measures for the village-level dataset.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007380:33:4", "occurrence_id": "2c09569a6bbd8d6b3250e307", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  _**|**_Over 10 _**|\n|_Low income_|0.12|0.71|23.96|5.78|16.67|24.67|2.86|2.50|22.72|\n|_Lower middle income_|6.06|12.43|25.60|5.81|21.39|11.40|1.83|3.03|12.45|\n|_Upper middle income_|4.27|23.81|6.54|6.23|23.72|4.33|1.60|1.18|28.33|\n|_High income_|1.26|51.68|1.03|1.66|29.10|0.63|1.08|0.53|13.02|\n\n\n\nSource: Authors’ calculation using ITC/World Bank database\n\n\n32\n\nMention: \"ITC/World Bank database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"ITC/World Bank database supplies tariff data summarized across income groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007441:5:0", "occurrence_id": "f729c460e33614505eb8c4eb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: and performing tax reforms can affect entrepreneurship, formalization rate, output,\nand productivity.\n\nWe first test the implications of the model using reduced form estimations techniques, based on a cross-section of micro-enterprises from the Business census and the\nNational Survey on Employment and the Informal Sector. This allows us to test the\ntheory by investigating empirically the importance of location and sector of activity\non the extent of informality and firm performance. Our cross-sectional results show\nthat firm profits increase with agglomeration and informal agricultural activities are\nthe least profitable, whereas the least profitable formal activities are in the service\nsector. In addition, informal entrepreneurs operating in manufacturing, commerce\nand services are more likely to formalize than their counterpart in the agriculture\nsector. Second, we perform specification tests and provide structural estimates of\nthe model using the Generalized Method of Moments and micro-data (firm-level and\nhousehold-level) from Cameroon. We find that the return to capital and labor is not\nuniform across sectors and cities in Cameroon. Manufacturing industries are highly\nconstrained in capital and the elasticity of capital is higher in Yaoundé and Douala,\nwhile labor elasticity is higher in Kribi, reflecting a low availability of workforce. One\nof the main advantages of using a structural econometric approach is that it allows\none to generate counterfactual samples on the basis of a well-tested theoretical model\nthat is consistent with the data. The counterfactual policy simulations that we perform\nbased on the estimated model are then used to quantify the effects of several policy\nmeasures on informality and productivity. In particular, by identifying prominent sectors of activities (and/or strategic locations) and constraints faced by agents operating\nin these sectors (and/or locations), we provide a quantitative assessment of the impact\nthat a targeted policy design such as improved infrastructure, access to finance or adjusted tax rates would have on aggregate productivity, job creation, formalization of\ninformal firms, and government revenues. The results show that an increase in\n\nMention: \"Business census\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Business-census and employment/informal-sector survey data support cross-sectional analysis of microenterprise performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007441:5:0", "occurrence_id": "3e6b1d0018c9aca88f6376bd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: and performing tax reforms can affect entrepreneurship, formalization rate, output,\nand productivity.\n\nWe first test the implications of the model using reduced form estimations techniques, based on a cross-section of micro-enterprises from the Business census and the\nNational Survey on Employment and the Informal Sector. This allows us to test the\ntheory by investigating empirically the importance of location and sector of activity\non the extent of informality and firm performance. Our cross-sectional results show\nthat firm profits increase with agglomeration and informal agricultural activities are\nthe least profitable, whereas the least profitable formal activities are in the service\nsector. In addition, informal entrepreneurs operating in manufacturing, commerce\nand services are more likely to formalize than their counterpart in the agriculture\nsector. Second, we perform specification tests and provide structural estimates of\nthe model using the Generalized Method of Moments and micro-data (firm-level and\nhousehold-level) from Cameroon. We find that the return to capital and labor is not\nuniform across sectors and cities in Cameroon. Manufacturing industries are highly\nconstrained in capital and the elasticity of capital is higher in Yaoundé and Douala,\nwhile labor elasticity is higher in Kribi, reflecting a low availability of workforce. One\nof the main advantages of using a structural econometric approach is that it allows\none to generate counterfactual samples on the basis of a well-tested theoretical model\nthat is consistent with the data. The counterfactual policy simulations that we perform\nbased on the estimated model are then used to quantify the effects of several policy\nmeasures on informality and productivity. In particular, by identifying prominent sectors of activities (and/or strategic locations) and constraints faced by agents operating\nin these sectors (and/or locations), we provide a quantitative assessment of the impact\nthat a targeted policy design such as improved infrastructure, access to finance or adjusted tax rates would have on aggregate productivity, job creation, formalization of\ninformal firms, and government revenues. The results show that an increase in\n\nMention: \"National Survey on Employment and the Informal Sector\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Employment and informal-sector survey provides information on microenterprise status and performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007474:5:1", "occurrence_id": "618420e58b124d65308c69a6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  formality and informality. Businesses with\n\n\nan incorporated legal status (as opposed to unincorporated or natural persons) are more likely\n\n\nto acquire municipal licenses and keep them. In contrast, young firms (less than age four years)\n\n\nare more likely to de-formalize by not renewing municipal licenses. These findings are\n\n\nconsistent with the view that young entrepreneurs learn about their productivity in the formal\n\n\nand informal sectors and act upon it. Similarly, firms with greater value added per worker and\n\n\nfrom regions with larger proportions of firms registering with the Electronic Payroll Registry\n\n\nare more likely to register their workers and keep them registered. These findings suggest that\n\n\nenforcement matters, and—everything else being equal—firms must reach a certain level of\n\n\nproductivity before they have the necessary potential to formalize their labor force.\n\n\nNext, we attempt to infer the extent to which business formalization affects labor formalization\n\n\nand vice versa. Are firms that initiated the process of formalization more likely to conclude it?\n\n\n4\n\nMention: \"the Electronic Payroll Registry\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Electronic Payroll Registry tracks whether firms register workers and keep them registered.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007515:14:3", "occurrence_id": "7c6b5bcb1bb4721bfe1101a8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: u><mark>1.35</mark></u> <u><mark>1.40</mark></u> <u><mark>1.50</mark></u> <u><mark>No Sig</mark></u> <u><mark>No Sig</mark></u>\n\n<mark>Employer</mark>\n<u><mark>All</mark></u> <u><mark>1.30</mark></u> <u><mark>1.40</mark></u> <u><mark>No Sig</mark></u> <u><mark>No Sig</mark></u> <u><mark>No Sig</mark></u> <u><mark>1.05</mark></u>\n_Source:_ Authors’ tabulations using SEDLAC (CEDLAS and the World Bank).\n_Note:_ This table reports the results of Rosenbaum bounds test using the Mantel and Haenszel test statistic. The table reports the\nminimum value of gamma (odds ratio at which the treated group is more likely to be treated) for which the treatment effect could\nbe explained by differences in selection rather than due to treatment. “No Sig” means the treatment effect is not statistically\nsignificant.\n\nThe values reported in Table 7 show that some of the results of the propensity score matching exercise are\nhighly sensitive to selection bias. This includes the impact of remittances on female labor force participation\nin Guatemala and Honduras as well as female youth inactivity in all three countries. On the other hand, the\nresults are robust for male participation (especially in El Salvador and Guatemala and Honduras 2006),\nmale youth inactivity in Guatemala,\n\nMention: \"SEDLAC\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SEDLAC data underpin propensity-score matching estimates of remittances and labor-force outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007489:35:0", "occurrence_id": "9cca3100a2766a2f583724e9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: endemicity for amphibians, mammals, reptiles and birds. We develop 50 measures that\n\n\nincorporate biome status, species density, endemicity, and extinction risk. We normalize each\n\n\nmeasure to the range [0,100] and develop a composite biodiversity index for each 500 m cell by\n\n\nselecting the maximum normalized value among the 50 measures for that cell. This approach\n\n\nensures representation for diverse stakeholder concerns, which may range from preservation of\n\n\ncritically-endangered amphibians to conservation of small ecoregions that are endemic to Lao\n\n\nPDR.\n\n\nAvailable species range maps may not reflect the latest information on forest clearing, which\n\n\nis best represented by the global Hansen data set. Accordingly, we adjust our biodiversity indicator\n\n\nfor each 500 m cell by multiplying its biodiversity indicator value by the Hansen estimate of\n\n\npercent forest cover remaining as of 2016. <sup>13</sup> The result is our summary estimate of current\n\n\nbiodiversity risk.\n\n\nTo assess the potential impact of road improvement on biodiversity, we compute an expected\n\n\nloss measure for each cell by multiplying its forest-clearing-adjusted biodiversity index by the\n\n\npredicted increase in forest clearing percent from secondary and tertiary road upgrading. We map\n\n\nthe results to identify priority areas with high expected losses. We find highly diverse patterns of\n\n\nexpected forest clearing and biodiversity loss that would be difficult to anticipate without this kind\n\n\nof analysis.\n\n\nWe believe that these results highlight several important dimensions of ecological risk\n\n\nassessment and road investment policy in Lao PDR. First, newly-available data on forest clearing,\n\n\nspecies risks and ecoregions provide an unprecedented opportunity to assess ecological impacts at\n\n\nhigh spatial resolution. Second, assessment can be founded on a rigorous methodology that uses\n\n\n13 As we explain in the paper, this requires combining the Hansen estimate of forest cover in 2000 with the estimate\nof forest clearing from 2001 to 2016.\n\n\n34\n\nMention: \"global Hansen data set\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Forest-cover raster data adjust cell-level biodiversity risk for clearing through 2016.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007521:19:2", "occurrence_id": "7378780a6a2af4b65387aaf5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: u> <u>5226</u> <u>5226</u> <u>5226</u> <u>5226</u>\n\n\nfirm and year FE Yes Yes Yes Yes Yes\nlog employment No Yes Yes Yes Yes\nindustry-specific trends No No Yes Yes Yes\nfirm-specific trends No No No Yes Yes\n<u>imported</u> <u>inputs</u> <u>No</u> <u>No</u> <u>No</u> <u>No</u> <u>Yes</u>\n\n\nNOTES: IV-FE regressions of (log) employment on export intensity (exports/sales). The instruments are the weighted\naverage the real exchange rate of a firm export partners and the weighted average of the real gdp of a firm export destinations.\nColumn (1): firm fixed-effects and year fixed-effects; column (2): adds log total employment (firm size); column (3): adds\ncontrols for industry-specific trends (i.e., interactions between year dummies and industry dummies); column (4): adds initial\nconditions to control for firm-specific trends; column (5): adds the share of imported inputs. Data are from the Encuesta\nNacional Industrial Anual (National Annual Industrial Survey), Chile 2001-2005.\n\n\n18\n\nMention: \"Encuesta\nNacional Industrial Anual\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Industrial survey data measure firm-level employment responses to export intensity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007521:19:2", "occurrence_id": "47beab0b3bdc89ff082134ee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: u> <u>5226</u> <u>5226</u> <u>5226</u> <u>5226</u>\n\n\nfirm and year FE Yes Yes Yes Yes Yes\nlog employment No Yes Yes Yes Yes\nindustry-specific trends No No Yes Yes Yes\nfirm-specific trends No No No Yes Yes\n<u>imported</u> <u>inputs</u> <u>No</u> <u>No</u> <u>No</u> <u>No</u> <u>Yes</u>\n\n\nNOTES: IV-FE regressions of (log) employment on export intensity (exports/sales). The instruments are the weighted\naverage the real exchange rate of a firm export partners and the weighted average of the real gdp of a firm export destinations.\nColumn (1): firm fixed-effects and year fixed-effects; column (2): adds log total employment (firm size); column (3): adds\ncontrols for industry-specific trends (i.e., interactions between year dummies and industry dummies); column (4): adds initial\nconditions to control for firm-specific trends; column (5): adds the share of imported inputs. Data are from the Encuesta\nNacional Industrial Anual (National Annual Industrial Survey), Chile 2001-2005.\n\n\n18\n\nMention: \"National Annual Industrial Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National Annual Industrial Survey is the English name for the source of the firm-employment estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007587:19:2", "occurrence_id": "f041a424665afd787447dc76", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (2011)\n\n\nWDI (2013)\n\n\nArezki and\nBrueckner (2012)\n\n\n\n𝐶𝑜𝑚𝑃𝐼�� ��𝐶𝑜𝑚𝑃𝑟𝑖𝑐𝑒��\n\n���\n\n\n\n���\n\n\n\nwhere _ComPriceit_ is the international price of commodity _i_ in year _t_, and _θic_ is\nthe average (time-invariant) value of exports of commodity _i_ in the GDP of\ncountry _c_ . Data on international commodity prices are from UNCTAD\nCommodity Statistics and data on the value of commodity exports are from the\nNBER-United Nations Trade Database (Feenstra _et al_ ., 2004). The\ncommodities included in the index are aluminum, beef, coffee, cocoa, copper,\ncotton, gold, iron, maize, oil, rice, rubber, sugar, tea, tobacco, wheat, and wood.\n\nSource: Moller and Wacker (2017).\n\n\n18\n\nMention: \"Data on international commodity prices\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"International commodity-price data are an input to the commodity-price index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007587:19:2", "occurrence_id": "f2fe0a9f91551646b3db6358", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (2011)\n\n\nWDI (2013)\n\n\nArezki and\nBrueckner (2012)\n\n\n\n𝐶𝑜𝑚𝑃𝐼�� ��𝐶𝑜𝑚𝑃𝑟𝑖𝑐𝑒��\n\n���\n\n\n\n���\n\n\n\nwhere _ComPriceit_ is the international price of commodity _i_ in year _t_, and _θic_ is\nthe average (time-invariant) value of exports of commodity _i_ in the GDP of\ncountry _c_ . Data on international commodity prices are from UNCTAD\nCommodity Statistics and data on the value of commodity exports are from the\nNBER-United Nations Trade Database (Feenstra _et al_ ., 2004). The\ncommodities included in the index are aluminum, beef, coffee, cocoa, copper,\ncotton, gold, iron, maize, oil, rice, rubber, sugar, tea, tobacco, wheat, and wood.\n\nSource: Moller and Wacker (2017).\n\n\n18\n\nMention: \"UNCTAD\nCommodity Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNCTAD Commodity Statistics supply international commodity-price series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007587:19:2", "occurrence_id": "022ffa175d92e4a8d4d27467", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (2011)\n\n\nWDI (2013)\n\n\nArezki and\nBrueckner (2012)\n\n\n\n𝐶𝑜𝑚𝑃𝐼�� ��𝐶𝑜𝑚𝑃𝑟𝑖𝑐𝑒��\n\n���\n\n\n\n���\n\n\n\nwhere _ComPriceit_ is the international price of commodity _i_ in year _t_, and _θic_ is\nthe average (time-invariant) value of exports of commodity _i_ in the GDP of\ncountry _c_ . Data on international commodity prices are from UNCTAD\nCommodity Statistics and data on the value of commodity exports are from the\nNBER-United Nations Trade Database (Feenstra _et al_ ., 2004). The\ncommodities included in the index are aluminum, beef, coffee, cocoa, copper,\ncotton, gold, iron, maize, oil, rice, rubber, sugar, tea, tobacco, wheat, and wood.\n\nSource: Moller and Wacker (2017).\n\n\n18\n\nMention: \"data on the value of commodity exports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Commodity-export values form the export-weight component of the price index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007587:19:2", "occurrence_id": "0a41bdef2f90e622aa909ebe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (2011)\n\n\nWDI (2013)\n\n\nArezki and\nBrueckner (2012)\n\n\n\n𝐶𝑜𝑚𝑃𝐼�� ��𝐶𝑜𝑚𝑃𝑟𝑖𝑐𝑒��\n\n���\n\n\n\n���\n\n\n\nwhere _ComPriceit_ is the international price of commodity _i_ in year _t_, and _θic_ is\nthe average (time-invariant) value of exports of commodity _i_ in the GDP of\ncountry _c_ . Data on international commodity prices are from UNCTAD\nCommodity Statistics and data on the value of commodity exports are from the\nNBER-United Nations Trade Database (Feenstra _et al_ ., 2004). The\ncommodities included in the index are aluminum, beef, coffee, cocoa, copper,\ncotton, gold, iron, maize, oil, rice, rubber, sugar, tea, tobacco, wheat, and wood.\n\nSource: Moller and Wacker (2017).\n\n\n18\n\nMention: \"NBER-United Nations Trade Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Trade database supplies commodity-export values used in the index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007587:19:2", "occurrence_id": "65cea3053f14ee58a5f9abb2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (2011)\n\n\nWDI (2013)\n\n\nArezki and\nBrueckner (2012)\n\n\n\n𝐶𝑜𝑚𝑃𝐼�� ��𝐶𝑜𝑚𝑃𝑟𝑖𝑐𝑒��\n\n���\n\n\n\n���\n\n\n\nwhere _ComPriceit_ is the international price of commodity _i_ in year _t_, and _θic_ is\nthe average (time-invariant) value of exports of commodity _i_ in the GDP of\ncountry _c_ . Data on international commodity prices are from UNCTAD\nCommodity Statistics and data on the value of commodity exports are from the\nNBER-United Nations Trade Database (Feenstra _et al_ ., 2004). The\ncommodities included in the index are aluminum, beef, coffee, cocoa, copper,\ncotton, gold, iron, maize, oil, rice, rubber, sugar, tea, tobacco, wheat, and wood.\n\nSource: Moller and Wacker (2017).\n\n\n18\n\nMention: \"WDI (2013)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"WDI (2013) supplies an additional series noted alongside the commodity analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007561:35:0", "occurrence_id": "2fbb50956627d3e60718322c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: taxes collected at the border between 5‐10%) with little variability; very few and limited special\nimport regimes; moderate use of anti‐dumping regulations (between 2 and 5 new measures in\nthe year); few restrictions on service trade (e.g., Services Trade Restrictiveness Index between 10\nand 25); trade data beyond regular statistics is made available for policy analysis.\n\n\n“b. Clear and consistent trade facilitation strategies at national and agency levels. Formal\nprocesses for consultation and cooperation with stakeholders. Performance standards\nestablished and monitored and data on clearance times publicly available. Information on trade‐\nclearing procedures and formalities is published and accessible via the Internet. The hierarchy of\nregulatory framework and the links are clear. Appeal mechanisms are established and accessible.\nFew instances of corruption in border management agencies. Risk management used extensively\n(e.g., < 20 % Customs physical inspection). Speedy and predictable processing of goods (e.g.,\nsome facilitated procedures for traders with good compliance records). IT system used by\nCustoms and other key border management agencies, with some interconnectivity. Largely open\naccess to foreign transport service providers (e.g., transit transport services are fully liberalized\nwithin an economic grouping and transit routes are not specified on the permit).”\n\n\nThe 1999 and 2015 criteria differ in that (a) the 2015 criteria are more detailed and longer,\n(b) the 2015 criteria have been modernized by, for instance, frequent references to the internet\nwhich was not a factor in 1999, and (c) the 2015 criteria refer to indexes which were unavailable\nin 1999, such as the Services Trade Restrictiveness Index.\n\n\nOn the whole, however, it appears that the overall direction of the criteria was rather\nsimilar in 2015 to what it was in 1999. For instance, in 1999 to get a ‘2’, the customs authorities\n“make discriminatory or <u>ad hoc</u> exemptions and valuations”, while in\n\nMention: \"Services Trade Restrictiveness Index\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Services Trade Restrictiveness Index is cited as an example of an index used in newer trade-facilitation criteria.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007562:37:0", "occurrence_id": "1638ae3d74d0345754542440", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure A2: Foreign value added embodied in gross exports as a share of gross exports, by sector (1995‐**\n\n**2011)**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Source:** Authors’ calculations using OECD/WTO TiVA.\n\n\n36\n\nMention: \"OECD/WTO TiVA\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"OECD/WTO Trade in Value Added database supplies foreign-value-added shares for sectoral exports.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007588:15:0", "occurrence_id": "975126fafe1c83099cf995bd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ## Appendix\n\n#### **A Immigration: variations in stocks versus inflows**\n\nAs explained in Section **??**, we use the DIOC database to characterize the socio-demographic\n\n\nchanges that have taken place between the years 2000 and 2010. In particular, the results\n\n\npresented in Section **??** highlight the wage effects that are due to the (net) variations in\n\n\nthe stock of immigrants. These variations result from three forces: new migrant inflows,\n\n\nreturn migration, mortality. One might wonder whether the effects depicted in Figure 7\n\n\nhold true when focusing on (gross) inflows of immigrants over the same period.\n\n\nThe DIOC database allows identifying the origin, education, and duration of stay\n\n\nof the population. In particular, we can identify the origin and education structures of\n\n\nimmigrants who arrived between the years 2000 and 2010 and who were still living in the\n\n\ndestination country in 2010. As duration of stay cannot be jointly identified by age group,\n\n\nwe assume all recent immigrants are young (i.e. aged 25 to 44). Figure A.1 compares the\n\n\nwage effects induced by the net variation in the immigrant stock (horizontal axis) with\n\n\nthose induced by the gross inflow (vertical axis). In most countries, the results are almost\n\n\nidentical. The few exceptions are for countries that have experienced drastic increases in\n\n\nimmigration. Recent immigration makes the population younger, which increases the age\n\n\npremium and the competition among younger workers.\n\n\n[INSERT FIGURE A.1 HERE]\n\n#### **B Elasticities of substitution across groups**\n\n\nOur model assumes that the aggregate labor composite _q_ can be modeled as a nested\n\n\nCES (constant elasticity of substitution) function of different worker types. From Eqs.\n\n\n( **??** ), ( **??** ) and ( **??** ), this means that a one percent increase in the ratio of employment\n\nMention: \"DIOC database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DIOC population data characterize migrant-stock changes and immigrant origins, education, and duration of stay.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007628:37:1", "occurrence_id": "0923006dfcbde9ecf1719ccd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ]\n\n\nAdults with only primary education (18+) 0.242 0.233 0.009\n\n\n[0.008] [0.007]\n\n\nHousehold head practices polygamy 0.333 0.338 ‐0.005\n\n\n[0.015] [0.012]\n\nHousehold head is male 0.579 0.603 ‐0.024\n\n\n[0.016] [0.013]\n\nHousehold head is employed 0.732 0.715 0.018\n\n\n[0.014] [0.012]\n\nAverage age 19.311 19.026 0.285\n\n\n<u>[0.217]</u> <u>[0.186]</u>\n\n\n_** and * indicate significance at the 1 and 5 percent level._\n\n\n**Source: Authors’ own calculations based on HFS 2016‐2017 data.**\n\n\n36\n\nMention: \"HFS 2016‐2017 data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Household survey data support the table’s comparison of household-head characteristics and outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007591:8:0", "occurrence_id": "f9ad93384b0f6dde70c40da4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: to society beyond wages. Ideally, the social benefits should include non-monetary benefits of\neducation, such as improved health and nutrition practices and inter-generational well-being.\nGiven the scant empirical evidence on the social benefits (Oreopoulos and Salvanes 2011; see also\nMcMahon 2004), estimates of the social rate of return are typically based on observable monetary\ncosts and labor market earnings (Jimenez and Patrinos 2008).\n\nThe returns to higher education have changed over time. The returns to an additional year of\nschooling tend to decline as the level of schooling rises. But the returns have declined modestly\nin past decades despite rising average years of schooling. In 2010, the world population aged 15\nand above is estimated to have had an average of 8 years of schooling, having increased steadily\nfrom just over 5 years in 1980 (Barro and Lee 2013). While the enrollment rate in higher education\ngrew significantly over time, the returns to higher education remain high. This suggests that global\ndemand for skills has kept the returns to schooling high. It is thus safe to say that education is a\ngood investment globally.\n\nVietnam is following the general case of increasing returns to tertiary education. Analysis of the\nsocial returns to schooling in Vietnam is limited. Using published data on costs and wage\ndifferentials by level in Nguyen (2004), we estimate the social rate of return using the “short cut”\nmethod (Psacharopoulos 1995). The social rate of return to schooling was very low in Vietnam in\n1993, and just about 0 percent at the tertiary level. By 1998, social returns had risen considerably,\nand the highest returns were for tertiary education, at 12 percent, compared to primary and\nsecondary, both at 5 percent.\n\n**Financial Implications**\n\nFor the individual and her family, the good news is that the returns to higher education remain\nhigh. Higher education is a likely good investment for people to consider. But decisions on\n\nMention: \"Nguyen (2004)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Published cost and wage-differential data inform social-return estimates for schooling in Vietnam.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007618:6:0", "occurrence_id": "205c397df2d537cea5d0c7f1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: relationship between regulatory quality and financial inclusion outcomes. The remainder of the paper is\n\n\norganized as follows. The next section describes the regulatory index constructed, with explanations on the\n\n\nrationale of selection, scoring methodology and general trends. Section III presents the econometric models\n\n\nused and the results of the estimations. Section IV contains some concluding remarks.\n\n\n**II. Data description**\n\n\nTo construct our regulatory measures, we employ data from the World Bank’s Enabling the Business of\n\n\nAgriculture (EBA) project. EBA finance data are collected through standard questionnaires, which are\n\n\ncompleted by three main types of respondents: financial sector supervisory authorities, financial lawyers,\n\n\nand legal officers of financial institutions. All data are supported by official regulations and cover 62\n\neconomies. <sup>2</sup> The EBA data set features finance indicators benchmarking regulations in areas that are key\n\n\nto promote access to financial services by unserved or underserved customers (table 1). Six indicators are\n\n\ndeveloped from three different aspects that affect financial inclusion: 1) local providers of financial services,\n\n\nincluding MFIs and financial cooperatives; 2) delivery channels of financial services, with focus on the\n\n\nbooming branchless banking activities; and 3) movable collateral facilitating access to credit.\n\n\n**Table 1.** EBA Finance indicators\n\n\n2 See Annex I for the list of countries included in the EBA sample. The 62 countries are chosen to represent all\ncountry groups based on income level, geographical position and role of the agriculture sector as defined by World\nBank (2007). For full information on EBA data and underlying methodology, see World Bank (2017).\n\n\n5\n\nMention: \"EBA finance data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EBA finance data measure agricultural-sector regulations affecting access to financial services.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007618:6:0", "occurrence_id": "777803e200c8cb398edb4bc3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: relationship between regulatory quality and financial inclusion outcomes. The remainder of the paper is\n\n\norganized as follows. The next section describes the regulatory index constructed, with explanations on the\n\n\nrationale of selection, scoring methodology and general trends. Section III presents the econometric models\n\n\nused and the results of the estimations. Section IV contains some concluding remarks.\n\n\n**II. Data description**\n\n\nTo construct our regulatory measures, we employ data from the World Bank’s Enabling the Business of\n\n\nAgriculture (EBA) project. EBA finance data are collected through standard questionnaires, which are\n\n\ncompleted by three main types of respondents: financial sector supervisory authorities, financial lawyers,\n\n\nand legal officers of financial institutions. All data are supported by official regulations and cover 62\n\neconomies. <sup>2</sup> The EBA data set features finance indicators benchmarking regulations in areas that are key\n\n\nto promote access to financial services by unserved or underserved customers (table 1). Six indicators are\n\n\ndeveloped from three different aspects that affect financial inclusion: 1) local providers of financial services,\n\n\nincluding MFIs and financial cooperatives; 2) delivery channels of financial services, with focus on the\n\n\nbooming branchless banking activities; and 3) movable collateral facilitating access to credit.\n\n\n**Table 1.** EBA Finance indicators\n\n\n2 See Annex I for the list of countries included in the EBA sample. The 62 countries are chosen to represent all\ncountry groups based on income level, geographical position and role of the agriculture sector as defined by World\nBank (2007). For full information on EBA data and underlying methodology, see World Bank (2017).\n\n\n5\n\nMention: \"EBA data set\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EBA data set benchmarks regulations across 62 economies.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007618:6:0", "occurrence_id": "862e4078a71dd5af9ffadf40", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: relationship between regulatory quality and financial inclusion outcomes. The remainder of the paper is\n\n\norganized as follows. The next section describes the regulatory index constructed, with explanations on the\n\n\nrationale of selection, scoring methodology and general trends. Section III presents the econometric models\n\n\nused and the results of the estimations. Section IV contains some concluding remarks.\n\n\n**II. Data description**\n\n\nTo construct our regulatory measures, we employ data from the World Bank’s Enabling the Business of\n\n\nAgriculture (EBA) project. EBA finance data are collected through standard questionnaires, which are\n\n\ncompleted by three main types of respondents: financial sector supervisory authorities, financial lawyers,\n\n\nand legal officers of financial institutions. All data are supported by official regulations and cover 62\n\neconomies. <sup>2</sup> The EBA data set features finance indicators benchmarking regulations in areas that are key\n\n\nto promote access to financial services by unserved or underserved customers (table 1). Six indicators are\n\n\ndeveloped from three different aspects that affect financial inclusion: 1) local providers of financial services,\n\n\nincluding MFIs and financial cooperatives; 2) delivery channels of financial services, with focus on the\n\n\nbooming branchless banking activities; and 3) movable collateral facilitating access to credit.\n\n\n**Table 1.** EBA Finance indicators\n\n\n2 See Annex I for the list of countries included in the EBA sample. The 62 countries are chosen to represent all\ncountry groups based on income level, geographical position and role of the agriculture sector as defined by World\nBank (2007). For full information on EBA data and underlying methodology, see World Bank (2017).\n\n\n5\n\nMention: \"EBA Finance indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EBA finance indicators measure regulations affecting access to financial services.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007618:6:0", "occurrence_id": "0c4cbb0e8e0cdef40d5b4184", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: relationship between regulatory quality and financial inclusion outcomes. The remainder of the paper is\n\n\norganized as follows. The next section describes the regulatory index constructed, with explanations on the\n\n\nrationale of selection, scoring methodology and general trends. Section III presents the econometric models\n\n\nused and the results of the estimations. Section IV contains some concluding remarks.\n\n\n**II. Data description**\n\n\nTo construct our regulatory measures, we employ data from the World Bank’s Enabling the Business of\n\n\nAgriculture (EBA) project. EBA finance data are collected through standard questionnaires, which are\n\n\ncompleted by three main types of respondents: financial sector supervisory authorities, financial lawyers,\n\n\nand legal officers of financial institutions. All data are supported by official regulations and cover 62\n\neconomies. <sup>2</sup> The EBA data set features finance indicators benchmarking regulations in areas that are key\n\n\nto promote access to financial services by unserved or underserved customers (table 1). Six indicators are\n\n\ndeveloped from three different aspects that affect financial inclusion: 1) local providers of financial services,\n\n\nincluding MFIs and financial cooperatives; 2) delivery channels of financial services, with focus on the\n\n\nbooming branchless banking activities; and 3) movable collateral facilitating access to credit.\n\n\n**Table 1.** EBA Finance indicators\n\n\n2 See Annex I for the list of countries included in the EBA sample. The 62 countries are chosen to represent all\ncountry groups based on income level, geographical position and role of the agriculture sector as defined by World\nBank (2007). For full information on EBA data and underlying methodology, see World Bank (2017).\n\n\n5\n\nMention: \"EBA data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"EBA data support cross-country assessment of financial regulation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007655:23:2", "occurrence_id": "552052d2f774e448fc67d07f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .746* -0.066 -0.339 -0.041\n(0.217) (0.345) (0.279)\nUbudehe 4 or higher (=1) -0.861*** -0.170 -0.679* -0.082\n(0.305) (0.363)\nConstant -0.224 0.297 -0.744 -0.137 -0.946 -0.534\n<u>(0.577)</u> <u>(0.566)</u> <u>(0.697)</u> <u>(0.747)</u> <u>(0.606)</u> <u>(0.595)</u>\n\nN 615 615 583 490 615 615\n<u>Pseudo-R2</u> <u>0.108</u> <u>0.127</u> <u>0.331</u> <u>0.331</u> <u>0.085</u> <u>0.096</u>\n_Notes:_ Robust, clustered standard errors in parenthesis. * p<0.10; ** p<0.05; *** p<0.01.\n_Source:_ VUP household survey, 2009, 2011, 2014.\n\n\n\n22\n\nMention: \"VUP household survey, 2009, 2011, 2014\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"VUP household-survey waves underpin table estimates of Ubudehe poverty status.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007666:47:0", "occurrence_id": "d72698d159fb4399c19ec59a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Learning from Developing Country Power Market Experiences: The Case of Colombia\n\n\nFigure 6-12 Evolution of average Plant Load Factor in Colombia, for hydro, thermal and all resources.\n\nSource: Own elaboration based on data collected by the World Bank.\n\n\nOne study found that productive efficiency in the Colombian spot market increased after 2009, when\nCREG modified the pool by including a startup / shutdown bid for thermal plants. However, such\nreductions in total supply costs came about at the cost of higher price-cost markup, thus signaling market\npower exercise by Gencos. Therefore, productive efficiencies might have been appropriated by energy\nproducers rather than being transferred to final customers (Castro, Oren, & Riascos, 2013).\n###### 6.2 Investment and Security of Supply\n\nSecurity of supply has historically been an issue in Colombia. The rationing that occurred during 1992 El\nNiño event was one of the drivers for power sector reform. The Colombian power sector subsequently\nwithstood another El Niño event in 1998 without rationing. Terrorist attacks to transmission facilities in\nthe early 2000s again raised supply security concerns. Recently, the Colombian power sector had troubles\nwithstanding a severe El Niño event during 2015 (along with facilities outages and fuel shortage), with\ngovernment intervention to avoid rationing (see section 4).\n\n\nGeneration capacity growth has outpaced demand growth in Colombia over the last years (see Table 6-5).\nDemand for electricity has grown at a CAGR of 2% from 2010 to 2017 in Colombia (from 57 TWh in 2010\nto 67 TWh in 2017), while system demand for peak power has grown at a CAGR of 1% from 2010 to 2017\n(from 9.1 GW in 2010 to 10.0 GW in 2017). On the other hand, generation capacity has grown at a CAGR\nof 3% from 2010 to 2017 (from 13.3 GW in 2010 to 16.8 GW in 2017). Installed capacity remained almost\nunchanged from 2011 to\n\nMention: \"the World Bank\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"World Bank data support the plant-load-factor series for Colombian hydro, thermal, and total resources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000122:11:2", "occurrence_id": "21d371a582a536d1c64cca9f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ## Methodology\n\n\nMuch of the research on women’s rights, including in the field\nof violence against women, revolves around statistical data on\ncases, often required to justify interventions, scale up or reduce\nprogrammes, and advocate for funding. However, despite a\ngeneral understanding that GBV, including violence against\nwomen and SEA, are underreported, little attention is given to\nthe different and overlapping barriers that hinder survivors from\nseeking support. While acknowledging the relevance of statistical\ndata for advocacy and policymaking, this study was based on a\nmethodology that combined both quantitative and qualitative\nmethods. To achieve this, the research team conducted the\nfollowing between December 2023 and May 2024:\n\n**▶** Analysis of documents and information on the normative\nframework and regulations relevant to violence against\nwomen in Moldova.\n\n**▶** Analysis of reports outlining the specific risks faced by\nrefugee women in the country.\n\n**▶** Quantitative survey involving a sample of 300 women\naged 18-74, currently residing in Moldova, who completed\nonline questionnaires developed for the survey and tested\non a focus group, and then distributed online to a larger\ngroup. The collected data were analysed and categorized\nby topic.\n\n**▶** Six focus group discussions with 53 women were\nconducted across five locations in Moldova, including\nChisinau, Stefan Voda, Cahul, Ocnita, Chirsova (Gagauzia),\nand Tiraspol (Left Bank). Women were from diverse social\ngroups and backgrounds, including refugee women\nfrom Ukraine, Roma women, women with disabilities and\nolder women. All participants responded to the same set\nof questions to assess their perception of GBV, and the\npotential barriers to disclosure.\n\n**▶** 30 interviews with representatives of civil society\norganizations and government staff who provide services\nto survivors of GBV.\n\n**▶** Six in-depth interviews with women to further explore\nconcepts of shame, women’s vulnerabilities, and factors\n\n\n12\n\nMention: \"Quantitative survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Online survey of women in Moldova collects accounts of gender-based violence and barriers to seeking support.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000122:11:2", "occurrence_id": "e9473e6cf797df2aceb40935", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ## Methodology\n\n\nMuch of the research on women’s rights, including in the field\nof violence against women, revolves around statistical data on\ncases, often required to justify interventions, scale up or reduce\nprogrammes, and advocate for funding. However, despite a\ngeneral understanding that GBV, including violence against\nwomen and SEA, are underreported, little attention is given to\nthe different and overlapping barriers that hinder survivors from\nseeking support. While acknowledging the relevance of statistical\ndata for advocacy and policymaking, this study was based on a\nmethodology that combined both quantitative and qualitative\nmethods. To achieve this, the research team conducted the\nfollowing between December 2023 and May 2024:\n\n**▶** Analysis of documents and information on the normative\nframework and regulations relevant to violence against\nwomen in Moldova.\n\n**▶** Analysis of reports outlining the specific risks faced by\nrefugee women in the country.\n\n**▶** Quantitative survey involving a sample of 300 women\naged 18-74, currently residing in Moldova, who completed\nonline questionnaires developed for the survey and tested\non a focus group, and then distributed online to a larger\ngroup. The collected data were analysed and categorized\nby topic.\n\n**▶** Six focus group discussions with 53 women were\nconducted across five locations in Moldova, including\nChisinau, Stefan Voda, Cahul, Ocnita, Chirsova (Gagauzia),\nand Tiraspol (Left Bank). Women were from diverse social\ngroups and backgrounds, including refugee women\nfrom Ukraine, Roma women, women with disabilities and\nolder women. All participants responded to the same set\nof questions to assess their perception of GBV, and the\npotential barriers to disclosure.\n\n**▶** 30 interviews with representatives of civil society\norganizations and government staff who provide services\nto survivors of GBV.\n\n**▶** Six in-depth interviews with women to further explore\nconcepts of shame, women’s vulnerabilities, and factors\n\n\n12\n\nMention: \"Six focus group discussions with 53 women\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Focus groups with women, including refugees, explore perceptions of gender-based violence and barriers to disclosure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000122:11:2", "occurrence_id": "2611b45d20040c10948616be", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ## Methodology\n\n\nMuch of the research on women’s rights, including in the field\nof violence against women, revolves around statistical data on\ncases, often required to justify interventions, scale up or reduce\nprogrammes, and advocate for funding. However, despite a\ngeneral understanding that GBV, including violence against\nwomen and SEA, are underreported, little attention is given to\nthe different and overlapping barriers that hinder survivors from\nseeking support. While acknowledging the relevance of statistical\ndata for advocacy and policymaking, this study was based on a\nmethodology that combined both quantitative and qualitative\nmethods. To achieve this, the research team conducted the\nfollowing between December 2023 and May 2024:\n\n**▶** Analysis of documents and information on the normative\nframework and regulations relevant to violence against\nwomen in Moldova.\n\n**▶** Analysis of reports outlining the specific risks faced by\nrefugee women in the country.\n\n**▶** Quantitative survey involving a sample of 300 women\naged 18-74, currently residing in Moldova, who completed\nonline questionnaires developed for the survey and tested\non a focus group, and then distributed online to a larger\ngroup. The collected data were analysed and categorized\nby topic.\n\n**▶** Six focus group discussions with 53 women were\nconducted across five locations in Moldova, including\nChisinau, Stefan Voda, Cahul, Ocnita, Chirsova (Gagauzia),\nand Tiraspol (Left Bank). Women were from diverse social\ngroups and backgrounds, including refugee women\nfrom Ukraine, Roma women, women with disabilities and\nolder women. All participants responded to the same set\nof questions to assess their perception of GBV, and the\npotential barriers to disclosure.\n\n**▶** 30 interviews with representatives of civil society\norganizations and government staff who provide services\nto survivors of GBV.\n\n**▶** Six in-depth interviews with women to further explore\nconcepts of shame, women’s vulnerabilities, and factors\n\n\n12\n\nMention: \"30 interviews with representatives\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Interviews with civil-society and government service representatives contribute service-provider perspectives.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000122:11:2", "occurrence_id": "6df14296cc4bc01bcf7e1491", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ## Methodology\n\n\nMuch of the research on women’s rights, including in the field\nof violence against women, revolves around statistical data on\ncases, often required to justify interventions, scale up or reduce\nprogrammes, and advocate for funding. However, despite a\ngeneral understanding that GBV, including violence against\nwomen and SEA, are underreported, little attention is given to\nthe different and overlapping barriers that hinder survivors from\nseeking support. While acknowledging the relevance of statistical\ndata for advocacy and policymaking, this study was based on a\nmethodology that combined both quantitative and qualitative\nmethods. To achieve this, the research team conducted the\nfollowing between December 2023 and May 2024:\n\n**▶** Analysis of documents and information on the normative\nframework and regulations relevant to violence against\nwomen in Moldova.\n\n**▶** Analysis of reports outlining the specific risks faced by\nrefugee women in the country.\n\n**▶** Quantitative survey involving a sample of 300 women\naged 18-74, currently residing in Moldova, who completed\nonline questionnaires developed for the survey and tested\non a focus group, and then distributed online to a larger\ngroup. The collected data were analysed and categorized\nby topic.\n\n**▶** Six focus group discussions with 53 women were\nconducted across five locations in Moldova, including\nChisinau, Stefan Voda, Cahul, Ocnita, Chirsova (Gagauzia),\nand Tiraspol (Left Bank). Women were from diverse social\ngroups and backgrounds, including refugee women\nfrom Ukraine, Roma women, women with disabilities and\nolder women. All participants responded to the same set\nof questions to assess their perception of GBV, and the\npotential barriers to disclosure.\n\n**▶** 30 interviews with representatives of civil society\norganizations and government staff who provide services\nto survivors of GBV.\n\n**▶** Six in-depth interviews with women to further explore\nconcepts of shame, women’s vulnerabilities, and factors\n\n\n12\n\nMention: \"Six in-depth interviews with women\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"In-depth interviews with women explore vulnerabilities and barriers related to gender-based violence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "prwp", "source_key": "prwp:007680:10:0", "occurrence_id": "36aa7db5ada85a21301b2a47", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Cost-benefit estimates**\n\n\nWe use a subsample of 97,050 workers aged 15-65 years who had positive earnings from\ndependent employment. Annual earnings were converted to $US using the 2017 exchange rate in\nJune, which was equal to 3.52 TL. Table 4 gives their mean earnings by level of education.\n\n\n**<u>Table 4: Mean Annual Earnings by Educational Level</u>**\nEducational level Mean annual Number of\n<u>earnings ($US)</u> <u>observations</u>\n\nNone 3,714 1,528\nPrimary 5,278 24,850\nSecondary 5,974 38,567\n<u>Higher</u> <u>10,756</u> <u>32,105</u>\n<u>All</u> <u>7342</u> <u>97,050</u>\nSource: 2017 HLFS\n\nWe observe a sharp rise in mean annual earnings for those with higher education. This is consistent\nwith the very high demand for university education as well as the restriction on the university\nadmissions by the highly competitive university entrance examination. There is very high demand\nfor university education for several reasons. First, in addition to high income, the university degree\nconfers a prestigious position in Turkish society. Secondly, men with university education serve\nin the army with a higher rank. These factors are behind the high demand for higher education.\nThe age-earnings profiles by level of education show a very sharp earnings premium for higher\neducation graduates.\n\n\n\n\n\n\n\nThe discounting formula presented above was applied to the earnings profiles to estimate the\nreturns assuming a 6-6-4 duration of primary, secondary and higher education, and two years of\n\n\n9\n\nMention: \"2017 HLFS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Labor-force survey provides earnings by educational level for dependent employees.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000132:2:1", "occurrence_id": "cb4b1dae3d7043a32b9a75ca", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  than JODs 750 per person per\nyear, the case has to be approved by the UNHCR health unit (for emergency cases) and/or\nExceptional Care Committee (ECC) for non-emergency cases before the referral takes place.\n\n\n**Data Collection and Analysis**\n\n\nReferral care is considered an essential part of access to comprehensive health services, thus\nUNHCR since 2014 has maintained a medical referral database in order to monitor trends in\nurban and camp settings in Jordan.\n\n\n  - This report includes all referrals data for the period January to December 2016\n\n  - Data was collected from 11 sites; 6 Urban (Amman, Zarqa, Mafraq, Irbid, Ramtha,\nand south Mobile Medical Unit), 4 camps (Zaatri, Azraq, Cyber City and King\nAbdullah Park), and Ruwaishid.\n\n  - Data was captured on-site daily then compiled and shared on a monthly basis with\nJHAS referral hub, where the initial data compilation and cleaning was done.\nCompiled and cleaned data was then shared with the UNHCR Public Health Unit,\nwhere secondary data cleaning and analysis was carried out.\n\n  - Descriptive analysis carried out using Microsoft Excel 2013.\n\n\n**3 |** P a g e\n\nMention: \"medical referral database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"UNHCR medical-referral records monitor referral trends across urban and camp settings in Jordan.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000165:1:0", "occurrence_id": "c8e1c3239896d1751a1443cd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Thousands of Somalis are confronted with forced evictions, with over 18,000 internally displaced persons\n(IDPs) displaced every month. The need for HLP assistance is increasing, meaning the timely start of\nprevention activities is crucial to ensure effective implementation.\n\n4.6 million displaced people are identified to need shelter and NFI assistance, with slightly more than 88%\nof households reporting living in a makeshift shelter according to REACH assessment or partially\ndamaged, or fully destroyed shelter, due to previous conflicts and disasters. Considering the high cost of\nshelter repairs and the already negative net income of households, reconstruction comes at a high cost\nthat is not affordable for most. Failure to address these issues would mean hundreds of vulnerable\nhouseholds have no choice but to remain in inadequate, unsecured, and often overcrowded shelters,\nwith severe implications for their health, protection, socio- economic situation and personal security especially for children, older persons, people living with disabilities, women, and girls.\n\n\nSomalia is gradually recovering from its prolonged conflict, which has led to widespread displacement.\nIDPs face significant challenges, particularly in securing HLP rights. With weak governance structures,\nSomalia’s legal systems remain fragmented, complicating access to justice for vulnerable populations.\nMany IDPs live in urban centers, where land tenure insecurity is widespread, leading to frequent forced\nevictions, which further displace already vulnerable communities. Eviction data gathered by the HLP Area\nof Responsibility (AoR) since 2015, indicates that over 1.7 million IDPs experienced forced evictions in\nrecent years. By the end of September 2024 alone, over 98,000 people were forcefully evicted, in violation\nof both national and international law and policy/guidelines. Up to 60% of all evictions reported are\noccurring in informal IDP settlements located in urban areas, in particular Mogadishu, Baidoa, Kismayo,\nBosaso, Garowe among others. <sup>3</sup>\n\nThe justice system in Somalia\n\nMention: \"REACH assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"REACH assessment supports descriptions of shelter damage and needs among displaced households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000165:1:0", "occurrence_id": "4f776d1ffad5ab55410eee7a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Thousands of Somalis are confronted with forced evictions, with over 18,000 internally displaced persons\n(IDPs) displaced every month. The need for HLP assistance is increasing, meaning the timely start of\nprevention activities is crucial to ensure effective implementation.\n\n4.6 million displaced people are identified to need shelter and NFI assistance, with slightly more than 88%\nof households reporting living in a makeshift shelter according to REACH assessment or partially\ndamaged, or fully destroyed shelter, due to previous conflicts and disasters. Considering the high cost of\nshelter repairs and the already negative net income of households, reconstruction comes at a high cost\nthat is not affordable for most. Failure to address these issues would mean hundreds of vulnerable\nhouseholds have no choice but to remain in inadequate, unsecured, and often overcrowded shelters,\nwith severe implications for their health, protection, socio- economic situation and personal security especially for children, older persons, people living with disabilities, women, and girls.\n\n\nSomalia is gradually recovering from its prolonged conflict, which has led to widespread displacement.\nIDPs face significant challenges, particularly in securing HLP rights. With weak governance structures,\nSomalia’s legal systems remain fragmented, complicating access to justice for vulnerable populations.\nMany IDPs live in urban centers, where land tenure insecurity is widespread, leading to frequent forced\nevictions, which further displace already vulnerable communities. Eviction data gathered by the HLP Area\nof Responsibility (AoR) since 2015, indicates that over 1.7 million IDPs experienced forced evictions in\nrecent years. By the end of September 2024 alone, over 98,000 people were forcefully evicted, in violation\nof both national and international law and policy/guidelines. Up to 60% of all evictions reported are\noccurring in informal IDP settlements located in urban areas, in particular Mogadishu, Baidoa, Kismayo,\nBosaso, Garowe among others. <sup>3</sup>\n\nThe justice system in Somalia\n\nMention: \"Eviction data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Eviction records quantify forced displacement of internally displaced people in Somalia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000165:1:0", "occurrence_id": "da3489dcfef3d89168b337e2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Thousands of Somalis are confronted with forced evictions, with over 18,000 internally displaced persons\n(IDPs) displaced every month. The need for HLP assistance is increasing, meaning the timely start of\nprevention activities is crucial to ensure effective implementation.\n\n4.6 million displaced people are identified to need shelter and NFI assistance, with slightly more than 88%\nof households reporting living in a makeshift shelter according to REACH assessment or partially\ndamaged, or fully destroyed shelter, due to previous conflicts and disasters. Considering the high cost of\nshelter repairs and the already negative net income of households, reconstruction comes at a high cost\nthat is not affordable for most. Failure to address these issues would mean hundreds of vulnerable\nhouseholds have no choice but to remain in inadequate, unsecured, and often overcrowded shelters,\nwith severe implications for their health, protection, socio- economic situation and personal security especially for children, older persons, people living with disabilities, women, and girls.\n\n\nSomalia is gradually recovering from its prolonged conflict, which has led to widespread displacement.\nIDPs face significant challenges, particularly in securing HLP rights. With weak governance structures,\nSomalia’s legal systems remain fragmented, complicating access to justice for vulnerable populations.\nMany IDPs live in urban centers, where land tenure insecurity is widespread, leading to frequent forced\nevictions, which further displace already vulnerable communities. Eviction data gathered by the HLP Area\nof Responsibility (AoR) since 2015, indicates that over 1.7 million IDPs experienced forced evictions in\nrecent years. By the end of September 2024 alone, over 98,000 people were forcefully evicted, in violation\nof both national and international law and policy/guidelines. Up to 60% of all evictions reported are\noccurring in informal IDP settlements located in urban areas, in particular Mogadishu, Baidoa, Kismayo,\nBosaso, Garowe among others. <sup>3</sup>\n\nThe justice system in Somalia\n\nMention: \"HLP Area\nof Responsibility\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"HLP Area of Responsibility compiles the eviction data cited for IDP displacement.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000260:0:0", "occurrence_id": "f8ef8db6d05e858410ff4e49", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **2021 High-Level Officials Meeting**\n**Summary of Key Recommendations and Follow-Up Actions**\n\n\nTwenty key recommendations for the future were identified as a part of the stocktaking in the lead-up to and\nduring the High-Level Officials Meeting (HLOM). Following is a summary of the recommendations and areas for\naction. It reflects inputs by States and other stakeholders during the regional, stakeholder, and thematic\nstocktaking events and processes, virtual preparatory roundtables, side and linked events, spotlight sessions,\npanels, the HLOM plenary discussion, and the GCR Indicator Report. For more detailed information in relation\n[to these recommendations and action points, please see the Outcome Document for the HLOM.](https://www.unhcr.org/623dd8834/high-level-officials-meeting-2021-outcome-document)\n\n**_Cross-cutting recommendations_**\n\n**<u>Recommendation 1: Implement current GRF pledges and develop new ones to address identified gaps</u>**\n**and needs.**\n\n- Concretise broad pledges that remain in progress.\n\n- Adapt and innovate pledges where necessary to address changing needs.\n\n- Match and align financial, material, and technical pledges with host country policy pledges.\n\n- [Report on progress made towards pledge implementation](https://globalcompactrefugees.org/article/pledge-follow-up) .\n\n- Ensure that new pledges are needs-driven, quantifiable, additional, sustainable, inclusive, AGD-sensitive,\nand aligned with the GCR indicators.\n\n**<u>Recommendation 2: Enhance access to international protection.</u>**\n\n- Provide asylum and access to territory, which are key to responsibility sharing.\n\n- Develop refugee and asylum laws, policies and systems that are in line with international standards.\n\n- Provide expertise\n\nMention: \"GCR Indicator Report\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"GCR Indicator Report is cited as one input informing recommendations and follow-up actions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000177:0:0", "occurrence_id": "3779cd486e6678758c186617", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **<u>Response to the main protection concerns in the aftermath of the February 2023 earthquakes</u>**\n\n\n**<u>Introduction</u>**\n\n\nThis paper outlines **the main protection concerns** in the aftermath of the 6 February earthquakes and\n**actions taken by the Protection Sector** to prevent, mitigate and respond to them in the first two months\nfollowing the earthquake.\n\n\nThe following key protection concerns are highlighted due to their frequency and severity:\n\n\n1. Gender-based violence (GBV)\n2. Limited accountability to affected populations (AAP)\n3. Sexual exploitation and abuse (SEA)\n4. Psychological distress\n5. Protection concerns affecting children\n6. Limited response to the needs of older people and people with disabilities\n7. Challenges to access housing, land and property (HLP) rights\n\n\n**<u>Overall context</u>**\n\n\nIn response to the 6 February earthquakes, local authorities in directly impacted areas established\ntemporary shelters to host affected populations. As of 7 March, it is estimated that 265 collective shelters\n(schools, mosques and other community infrastructure) host people affected by the earthquakes in\nAleppo, Hama, Latakia, Homs and Idleb.\n\nMost people in shelters are reported to be women and children (82% in Aleppo governorate). <sup>1</sup> Children\nwho are either unaccompanied or staying with relatives were reported in 30 shelters. <sup>2</sup> 76% of key\ninformants who participated in a Rapid Protection Assessment (RPA) <sup>3</sup> conducted in the early days after\nthe earthquake reported the presence of destitute older persons. Female-headed households (74% of key\ninformants), persons with disabilities (72%), and older persons providing care to a household (61%) were\nalso frequently reported among the most affected population groups.\n\n<mark>Partners engaged in\n\nMention: \"Rapid Protection Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Rapid Protection Assessment records key-informant reports of protection needs after the earthquakes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000281:0:0", "occurrence_id": "062ef964773f0b72b8e8159c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: # **UNHCR Bangladesh 2023 Standardized** **Expanded Nutrition Survey (SENS)**\n### Final Executive Summary 1\n\n1 Version updated 4 January 2024\n\nMention: \"Expanded Nutrition Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"UNHCR nutrition survey assesses health and nutrition conditions in Bangladesh.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000290:2:0", "occurrence_id": "b9871d75d671ed4c617f5ed9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **DATA AND ASSESSMENTS** **FOR OOSC**\n\nWhile significant progress has been made towards\nglobal OOSC enrolment targets since 2000,\nUNESCO’s Institute of Statistics (UIS) reports the\ndecline in OOSC figures has slowed since 2005.\nGlobal data from 2014 suggests that 58 million\nchildren between the ages of 6 and 11 years and\n63 million adolescents between the ages of 12\nand 15 years do not have access to education. <sup>2</sup> [^2: <u>http://www.unicef.org/education/bege_61659.html.</u>] If\ncurrent trends continue, 43% of OOSC – 15 million\ngirls and 10 million boys – are likely to never enroll\nin school. <sup>3</sup> [^3: <u>http://goo.gl/HgSlIq (2014).</u>] Furthermore, **over one-third of the**\n**world’s out-of-school primary aged population**\n**lives in conflict-affected states** . <sup>4</sup> [^4: UNESCO (2015). _EFA Global Monitoring Report: Education for All 2000-2015: Achievements and Challenges_ . Paris: UNESCO.] Children affected\nby conflict are more likely to be displaced either in\ntheir home countries or as refugees, which has a\ndirect effect on school attendance and completion.\nRefugee children are not included in global\nstatistics, though UNHCR continues to advocate for\ntheir inclusion.\n\n\nRefugee children have unique educational needs.\nJoint assessments conducted with government\nand education partners will clarify real, rather than\nperceived, reasons refugee children and youth may\nbe out of school, and establish strategic approaches\nto addressing their needs. It is possible to generally\ncalculate refugee participation in educational\nprogramming through enrolment data provided\nby partners, but **it is critical to conduct an**\n**assessment to understand the specific barriers**\n**refugee OOSC face in each\n\nMention: \"UIS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UIS global out-of-school statistics provide education-access estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000290:2:0", "occurrence_id": "aeb464ad83753f50318d2eed", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **DATA AND ASSESSMENTS** **FOR OOSC**\n\nWhile significant progress has been made towards\nglobal OOSC enrolment targets since 2000,\nUNESCO’s Institute of Statistics (UIS) reports the\ndecline in OOSC figures has slowed since 2005.\nGlobal data from 2014 suggests that 58 million\nchildren between the ages of 6 and 11 years and\n63 million adolescents between the ages of 12\nand 15 years do not have access to education. <sup>2</sup> [^2: <u>http://www.unicef.org/education/bege_61659.html.</u>] If\ncurrent trends continue, 43% of OOSC – 15 million\ngirls and 10 million boys – are likely to never enroll\nin school. <sup>3</sup> [^3: <u>http://goo.gl/HgSlIq (2014).</u>] Furthermore, **over one-third of the**\n**world’s out-of-school primary aged population**\n**lives in conflict-affected states** . <sup>4</sup> [^4: UNESCO (2015). _EFA Global Monitoring Report: Education for All 2000-2015: Achievements and Challenges_ . Paris: UNESCO.] Children affected\nby conflict are more likely to be displaced either in\ntheir home countries or as refugees, which has a\ndirect effect on school attendance and completion.\nRefugee children are not included in global\nstatistics, though UNHCR continues to advocate for\ntheir inclusion.\n\n\nRefugee children have unique educational needs.\nJoint assessments conducted with government\nand education partners will clarify real, rather than\nperceived, reasons refugee children and youth may\nbe out of school, and establish strategic approaches\nto addressing their needs. It is possible to generally\ncalculate refugee participation in educational\nprogramming through enrolment data provided\nby partners, but **it is critical to conduct an**\n**assessment to understand the specific barriers**\n**refugee OOSC face in each\n\nMention: \"UNESCO (2015)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"EFA Global Monitoring Report is cited for global out-of-school and conflict-affected education statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000290:2:0", "occurrence_id": "d36cd33270a7fb865286df85", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **DATA AND ASSESSMENTS** **FOR OOSC**\n\nWhile significant progress has been made towards\nglobal OOSC enrolment targets since 2000,\nUNESCO’s Institute of Statistics (UIS) reports the\ndecline in OOSC figures has slowed since 2005.\nGlobal data from 2014 suggests that 58 million\nchildren between the ages of 6 and 11 years and\n63 million adolescents between the ages of 12\nand 15 years do not have access to education. <sup>2</sup> [^2: <u>http://www.unicef.org/education/bege_61659.html.</u>] If\ncurrent trends continue, 43% of OOSC – 15 million\ngirls and 10 million boys – are likely to never enroll\nin school. <sup>3</sup> [^3: <u>http://goo.gl/HgSlIq (2014).</u>] Furthermore, **over one-third of the**\n**world’s out-of-school primary aged population**\n**lives in conflict-affected states** . <sup>4</sup> [^4: UNESCO (2015). _EFA Global Monitoring Report: Education for All 2000-2015: Achievements and Challenges_ . Paris: UNESCO.] Children affected\nby conflict are more likely to be displaced either in\ntheir home countries or as refugees, which has a\ndirect effect on school attendance and completion.\nRefugee children are not included in global\nstatistics, though UNHCR continues to advocate for\ntheir inclusion.\n\n\nRefugee children have unique educational needs.\nJoint assessments conducted with government\nand education partners will clarify real, rather than\nperceived, reasons refugee children and youth may\nbe out of school, and establish strategic approaches\nto addressing their needs. It is possible to generally\ncalculate refugee participation in educational\nprogramming through enrolment data provided\nby partners, but **it is critical to conduct an**\n**assessment to understand the specific barriers**\n**refugee OOSC face in each\n\nMention: \"unicef.org\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNICEF education webpage cited in support of out-of-school-child statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000311:9:0", "occurrence_id": "599479a92ee57eeb1cd82e04", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Periodic Analysis of Syrian Workers September 2018\n\n\n_Chart 12: Reasons why refugees prefer not to have a work permit_\n\n\nThe majority of refugee workers (87 %) pay the work permit issuance fees themselves to get their work permits. This situation is\nmostly prevailing in the construction sector followed by the agricultural sector.\n\n\nThe refugees self-reported costs associated with the work permits issuance varied between the three sectors (Construction,\nAgriculture, and public/private sectors). It is worth mentioning that the cost get higher if the employer was a Private/public\nemployer, with an average of 85 JOD, while the averages is 64 JOD if it was GFJTU.\n\n\n\n1000\n\n\n900\n\n\n800\n\n\n700\n\n\n600\n\n\n500\n\n\n400\n\n\n300\n\n\n200\n\n\n100\n\n\n0\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nGFJTU Private/public employer\n\n\n_Chart 13: Costs Associated with Work Permit Issuance_\n\n\n\n10\n\nMention: \"Periodic Analysis of Syrian Workers\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Periodic analysis reports refugee workers’ work-permit costs by employment sector.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000301:4:1", "occurrence_id": "1f1006c192c4686e13fa9171", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  juillet 2023, il y a eu 114 incidents d’engins explosifs et\n351 victimes, désignant Ségou (ancien découpage administratif) comme la région la plus affectée (37%\ndes incidents entre janvier à juillet 2023). La proportion de victimes civiles a considérablement augmenté,\npassant de 25% en 2021 à presque la moitié́ de la totalité́ des victimes en 2023 (44%). La cartographie\nd’accès humanitaire d’OCHA a signalé 97 contraintes d’accès en 2023 dans la région de Ségou, dont 58\nliées aux engins explosifs. Au premier trimestre 2024, un total de 66 incidents d’engins explosifs a été\nenregistré dans le pays, dont 47 au Centre (Ségou et Mopti).\n\nLa hausse de l’utilisation des engins explosifs, en particulier les engins explosifs improvisés (EEI), ciblant\nles opérations militaires, associée à une dispersion plus large de ces dispositifs sur des axes routiers,\naugmente les risques d’accidents pour les populations civiles. La menace explosive affecte gravement la\nmobilité des populations, et limite leur accès aux services de base, y compris l’aide humanitaire. La\nsituation sécuritaire se traduit dans une augmentation des mouvements forcés des populations, avec une\nplus forte concentration des personnes déplacées internes dans les centres urbains, notamment Macina\nville et Ségou ville, nécessitant des réponses de protection (et en particulier LAMH) rapides et adapt\n\nMention: \"cartographie\nd’accès humanitaire\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"OCHA humanitarian-access map reports access constraints, including explosive-device incidents, in Ségou.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000410:18:1", "occurrence_id": "e966cc060c94ae407beebaa0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 61~~<br>~~42~~|~~42~~<br>47<br>~~61~~<br>~~42~~|~~42~~<br>47<br>~~61~~<br>~~42~~|~~42~~<br>47<br>~~61~~<br>~~42~~|\n|||||\n|||||\n|||||\n\n\n\nNorth South Beirut / Mount\n\nLebanon\n\n\n\nBekaa\n\n\n\nThrough the UNHCR Shelter Poll Survey it was identified that a higher proportion of refugee households\nwere sharing their shelters with other refugees in Bekaa when compared to Beirut / Mount Lebanon (53%\nand 35% respectively).\n\n<u>Syrian refugees living in Lebanon but who are not registered with UNHCR</u>\n\n\n  - Through a multi-sector needs assessment conducted by DRC in Aarsal in response to the November\n2013 influx of refugees, it was identified that almost all families were sharing a shelter with at least\nthree other families with an average of eight individuals per room.\n\n\n_There was no specific data available during the MSNA process for the North/T+5, Akkar, Bekaa, South and_\n_Mount Lebanon and Beirut._\n\n<u>Vulnerable local communities including Lebanese host communities and Palestinians</u>\n\n_National_\n\n\n  - Available data on those Palestinians who normally reside in Lebanon suggests that the average\nsettlement space available is very low. A 2010 American University of Beirut (AUB) and UNRWA study\nidentified 8% of Palestinian households experience high levels of overcrowding. The highest rates of\novercrowding were identified in settlements located in the Bekaa Valley, particularly Wavel Camp.\n\n\n_There was no specific data available during the MSNA process for the North/T+5, Akkar, Bekaa, South, Mount_\n_Lebanon and\n\nMention: \"UNHCR Shelter Poll Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Shelter Poll Survey documents refugee households sharing shelter in Bekaa and Beirut/Mount Lebanon.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000411:5:1", "occurrence_id": "1ea7d414895863dc9fd01393", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: fectaciones: abuso de autoridad, abuso sexual, afectación al Territorio, atentado, desaparición, estigmatización, herida\npor MAP-MUSE, hostigamiento, entre otras. Ver Anexo 01.\n\nFuente: Observatorio de Derechos Humanos, ONIC-, período: 01 de julio – 30 de septiembre de 2022\n\n\n\nDe acuerdo con los datos previos (Ver Tabla 1),\ndurante el tercer trimestre de 2022, se identificaron\ndieciocho (18) tipos de afectaciones a los DDHH\ne infracciones al DIH de los Pueblos Indígenas\nen Colombia. Estas afectaciones incluyeron,\nprincipalmente, hechos derivados de acciones\npropias del conflicto armado interno, tales como:\nconfinamiento, desplazamiento forzado masivo e\nindividual, amenazas, homicidios, entre otras. En\nel mes de septiembre se registró el mayor número\nde víctimas, con un total de 6.142, seguido por julio\ncon 4.080 personas afectadas y agosto con 1.650\nvíctimas; pertenecientes principalmente a la Nación\nEmberá (Dobidá, Chamí, Katío y Eyábida) y a los\nPueblos Indígenas Awá y Sikuani – Ver Gráfico 2.\nLos departamentos con mayor afectación fueron\nChocó, Nariño, Antioquia y Arauca (Ver Mapa 1).\n\n\n\nGráfico 2: Víctimas por Pueblo Indígena,\ntercer trimestre de 2022\n\n\n6.801\n\n\nNación Emberá Awá Sikuani Otros Pueblos\n\nFuente:\n\nMention: \"Observatorio de Derechos Humanos\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Human-rights observatory data document violations, victims, and forced displacement among Indigenous peoples.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000415:3:0", "occurrence_id": "5ac6dead55e412371d46046d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ### **MAPA DE RLO 2023**\n\nDurante los meses de marzo y junio a través de una consultoría\ndesarrollada con la empresa Equilibrium, se realizó un\nproceso de levantamiento de información a fin de obtener\nun mapeo de las RLO de nuestra región y fortalecer los\nvínculos de ACNUR con organizaciones de diversos niveles,\nnacionalidades y ubicación geográfica. Se mapearon un\ntotal de 305 RLO, concentradas principalmente en Colombia,\nEcuador, Perú and Ecuador, que son los países que han\nrecibido más refugiados y migrantes venezolanos en América\nLatina y el Caribe. Los principales datos recopilados incluyen:\nLugar de implementación de la actividad, áreas de trabajo,\nliderazgos, asociaciones con otras organizaciones, así como\nconocimientos sobre los programas de ACNUR.\n\n\nEl mapeo permitió entender mejor a las organizaciones\ncomunitarias y lideradas por refugiados en la región, de las\nque el 75.4% están registradas y muestran un alto nivel de\nformalización, con una alta participación de mujeres en roles\nde coordinación. La mayoría de las organizaciones operan con\nmenos de $2000 anuales, dependiendo de autofinanciamiento\ny enfrentando limitaciones financieras. Además, la mayoría de\nestas organizaciones trabajan con menos de 20 empleados\ny voluntarios. Estas organizaciones son actores clave para\nidentificar a personas en alto riesgo de protección y garantizar\nque la asistencia humanitaria llegue a quienes más la\nnecesitan, ya que\n\nMention: \"MAPA DE RLO 2023\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Mapping data locate refugee-led organizations and characterize their size, registration, staffing, and activities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000465:12:2", "occurrence_id": "5c1e3d6f3416a8251c83e8fb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  opportunities\n\n\nLack childcare\n\n\nEducation\nrecognition\n\nNot staying\n\n\n\n33%\n\n\n27%\n\n\n11%\n\n\n7%\n\n\n7%\n\n\n\n11%\n\n\n9%\n\n\n5%\n\n\n\n*Due to rounding, some percent totals do not add up to 100%\n** Multiple responses were possible, so percentages can go over 100% when added.\n\n\n10. UNHCR, Education on hold: almost half of school-aged children from Ukraine missing out on formal education available at <u>[https://www.unhcr.org/](https://www.unhcr.org/news/briefing-notes/education-hold-almost-half-school-aged-refugee-children-uk)</u>\n<u>[news/briefing-notes/education-hold-almost-half-school-aged-refugee-children-ukraine-missing-out](https://www.unhcr.org/news/briefing-notes/education-hold-almost-half-school-aged-refugee-children-uk)</u>\n11. <u>[UNHCR’s fourth intentions survey Micro-data available at Survey of intentions and perspectives of refugees from Ukraine #4 - June 2023 (unhcr.](https://microdata.unhcr.org/index.php/catalog/934)</u>\n<u>[org)](https://microdata.unhcr.org/index.php/catalog/934)</u>\n\n\n**U N H C R R E G I O N A L B U R E A U F O R E U R O P E,** N O V E M B E R 2 0 2 3 13\n\nMention: \"Survey of intentions and perspectives of refugees from Ukraine\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Refugee-intentions survey data inform education-access findings for displaced children from Ukraine.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000465:12:2", "occurrence_id": "9f249b3a60bbe7d130ea2928", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  opportunities\n\n\nLack childcare\n\n\nEducation\nrecognition\n\nNot staying\n\n\n\n33%\n\n\n27%\n\n\n11%\n\n\n7%\n\n\n7%\n\n\n\n11%\n\n\n9%\n\n\n5%\n\n\n\n*Due to rounding, some percent totals do not add up to 100%\n** Multiple responses were possible, so percentages can go over 100% when added.\n\n\n10. UNHCR, Education on hold: almost half of school-aged children from Ukraine missing out on formal education available at <u>[https://www.unhcr.org/](https://www.unhcr.org/news/briefing-notes/education-hold-almost-half-school-aged-refugee-children-uk)</u>\n<u>[news/briefing-notes/education-hold-almost-half-school-aged-refugee-children-ukraine-missing-out](https://www.unhcr.org/news/briefing-notes/education-hold-almost-half-school-aged-refugee-children-uk)</u>\n11. <u>[UNHCR’s fourth intentions survey Micro-data available at Survey of intentions and perspectives of refugees from Ukraine #4 - June 2023 (unhcr.](https://microdata.unhcr.org/index.php/catalog/934)</u>\n<u>[org)](https://microdata.unhcr.org/index.php/catalog/934)</u>\n\n\n**U N H C R R E G I O N A L B U R E A U F O R E U R O P E,** N O V E M B E R 2 0 2 3 13\n\nMention: \"Education on hold: almost half of school-aged children from Ukraine missing out on formal education\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"UNHCR report cites global education exclusion affecting school-aged children from Ukraine.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000479:4:1", "occurrence_id": "ac139a6ef44fd0c2fc8a362e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nvulnerability of all communities in Afghanistan and their limited capacity to prevent and respond to threats.\n\n- Alarmingly, community members resort to a variety of harmful coping mechanisms that imply serious child\nprotection risks, such as sending children to work instead of school, including in neighbouring countries,\nengaging them in begging or hazardous work and early or forced marriage.\n\n\n\nFor more information please visit the <u>[Afghanistan Operational Data Portal page.](https://data.unhcr.org/en/country/afg)</u>\n\n\n\n5\n\nMention: \"Afghanistan Operational Data Portal\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Operational data portal is listed for information relevant to protection risks and displacement in Afghanistan.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000548:30:2", "occurrence_id": "1ee09fc1e7bd9095b633be14", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  complementary pathways** : While resettlement remains a strategic tool for achieving\nprotection and solutions, there is a sharp declining trend in availability of resettlement places, constraining\nUNHCR ability to respond to resettlement priorities. In the 2026 Resettlement Planning, the Sudan Operation\nprojected a population of 61,330 would need resettlement, based on an assessment of profiles with specific\nneeds that could benefit from resettlement as a protection/solution intervention. <sup>8</sup> In line with commitments\ncontained in the New York Declaration, efforts will be taken to support the establishment or expansion of\n\n\n8 [UNHCR, 2026 Projected Global Resettlement Needs https://www.unhcr.org/publications/2026-projected-global-resettlement-needs-pgrn,](https://www.unhcr.org/publications/2026-projected-global-resettlement-needs-pgrn)\nresettlement needs relevant to Sudan (61,330).\n\n\nPage 31 of 36                                                               JUNE 2025-DECEMBER 2027\n\nMention: \"2026 Projected Global Resettlement Needs\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Projected Global Resettlement Needs report estimates the Sudan operation’s resettlement caseload.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000563:2:1", "occurrence_id": "fb2db53720871a6b26f22243", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  5 of\n\nthese were schools, while 11 were incidents impacting on Al-Hudaydah\n\nUniversity medical and engineering faculties, which have been\n\ncommandeered by military forces as defensive and firing positions.\n\n\n**Case study 2: Fishing communities in Al-Hudaydah**\n\n\nAl-Hudaydah’s fishing community saw a significantly reduced impact from\n\nincidents of armed violence since the ceasefire commenced. In 2018, 77\n\nfishermen were reportedly killed, 37 injured, and another 17 reported\n\nmissing as a result of incidents of armed violence, the majority of which\n\nwere as a result of airstrikes, along with three instances of naval shelling\n\nand three seamine incidents. Over 25 boats were reportedly destroyed.\n\nFishing ports in Al-Hawak and Al-Tuhayat, fishing huts on Kamaran island,\n\nand the Ministry of Fisheries in Al-Luheyah were also reportedly hit by\n\nairstrikes last year. The Al-Hawak fish market was also hit by shellfire on 2\n\nAugust 2018 which, together with a follow-up attack outside the Al-Thawra\n\nhospital gates, was reported to have resulted in 55 civilian fatalities and\n\n170 civilian injuries. Since the ceasefire entered into force, airstrikes are\n\nreported to have hit 5 fishing boats, killing 9 fishermen and injuring 6.\n\n\n\nOn the whole, the introduction of the cease�re resulted in a decrease in\nincidents impacting on civilian infrastructure in Al-Hudaydah. In the 12 months\nprior to the cease�re, 139 incidents impacted on civilian infrastructure, while in\nthe 12 months after, this almost halved, dropping to 73. The most frequently\nimpacted types of infrastructure are shown in the chart below by number of\nincidents. The 2 infrastructure types to have seen an increase in the past 12\nmonths were education and food, explained in case study 1, to the left.\n\n\n\nThe Civilian Impact Monitoring Project is a service under the United Nations Protection\n\nCluster for the collection, analysis and dissemination of open source data on the civilian\n\nMention: \"Civilian Impact Monitoring Project\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Civilian Impact Monitoring Project collects open-source incident data used to track violence and impacts on civilian infrastructure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000556:15:1", "occurrence_id": "b5df8d1bf878f2b110573f00", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nthan Syrian children. As with small groups of displaced children of Somali and Sudanese\norigin and stateless Palestinians, and Palestinian refugees from Gaza, the realisation of their\nrights is evidently not a matter of principle but contingent upon a range of factors, including\nmaterial circumstances and political consideration.\n\n**_Access to Services_**\n\nThe UNCRC identifies State Party responsibility for provision of services to children in a\nnumber of areas. The most obvious of these are education (Article 28), and healthcare\n(Article 24). In addition, assistance should be offered to children with physical or mental\ndisabilities (Article 23) and, of special relevance to a population exposed to extreme violence,\nsupport for psychological recovery (Article 39).\n\n_Education_\nExamination of Iraqi children’s access to the Jordanian public school system reveals a\nchequered history. Until 2007 only private schools were accessible to the majority of this\npopulation (Nelems, 2008). In August of that year King Abdullah II issued a decree opening\nthe public school system to Iraqi children for ‘humanitarian reasons’. This decree timed in\nwith the provision of funds from the European Union and the US Government. Iraqi children\nwere thus admitted from the 2007-2008 school year onwards. The funding made available\nwas generous: new schools were built and the costs for each individual child’s participation\ncovered.\n\nAt the time of our research free access to primary and secondary education was offered to\nIraqi children within Jordanian public institutions. However, take-up was far from universal.\nThe 2013 CARE survey indicated a non-enrolment rate of 37.5%, and a non-attendance rate\n\n\n14\n\nMention: \"2013 CARE survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"CARE survey measures school non-enrolment and non-attendance among Iraqi children in Jordan.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000617:22:0", "occurrence_id": "2057fdcb482046297c1e3ea9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _Figure [9]: Non-food related coping strategies_\n\n\n<u>PRS</u>\n\n\nDuring an UNRWA assessment in October 2013, participants in 16FGDS indicated the following coping\nmechanisms:\n\n\n  - Reducing essential non-food items such as electricity, water, and transportation, acquiring drinking\nwater from the public tap instead of buying water bottles, and sharing accommodation with other\nfamilies. This had forcibly led many families to live in collective shelters with separators between one\nfamily and another. As a result, this had created lack of privacy as several PRS individuals reported.\n\n  - Sleeping on mattresses instead of beds and borrowing money from other PRS families were also\nnoted.\n\n\n_Debt_\n\n\n  - Oxfam19 found that Syrian refugee household debt was USD 454. This positively correlated with length\nof residency. In Tripoli the average debt was over USD 815 (average residency in Lebanon over 15\nmonths) while in Beirut this was USD 153 per household.\n\n  - The VASyR found that 75% of households had debts and 70% reported borrowing money or receiving\ncredit during the three months before the survey was conducted. The average amount of debt was USD\n600, but half of the interviewed households owed USD 200 or less. Loans were mainly provided by\nfriends or relatives to buy food (81%), pay the rent (52%) or cover health expenses (25%). (Figure 10).\nHouseholds registered longer ago were significantly more likely to have higher amounts of debts.\n\n\n19Oxfam _2014) Winterization 2013-14 Baseline Report. February\n\n23\n\nMention: \"16FGDS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Focus-group discussions document refugee-household coping strategies, accommodation sharing, and debt.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000617:22:0", "occurrence_id": "b4c7c24196f80e54c964b835", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _Figure [9]: Non-food related coping strategies_\n\n\n<u>PRS</u>\n\n\nDuring an UNRWA assessment in October 2013, participants in 16FGDS indicated the following coping\nmechanisms:\n\n\n  - Reducing essential non-food items such as electricity, water, and transportation, acquiring drinking\nwater from the public tap instead of buying water bottles, and sharing accommodation with other\nfamilies. This had forcibly led many families to live in collective shelters with separators between one\nfamily and another. As a result, this had created lack of privacy as several PRS individuals reported.\n\n  - Sleeping on mattresses instead of beds and borrowing money from other PRS families were also\nnoted.\n\n\n_Debt_\n\n\n  - Oxfam19 found that Syrian refugee household debt was USD 454. This positively correlated with length\nof residency. In Tripoli the average debt was over USD 815 (average residency in Lebanon over 15\nmonths) while in Beirut this was USD 153 per household.\n\n  - The VASyR found that 75% of households had debts and 70% reported borrowing money or receiving\ncredit during the three months before the survey was conducted. The average amount of debt was USD\n600, but half of the interviewed households owed USD 200 or less. Loans were mainly provided by\nfriends or relatives to buy food (81%), pay the rent (52%) or cover health expenses (25%). (Figure 10).\nHouseholds registered longer ago were significantly more likely to have higher amounts of debts.\n\n\n19Oxfam _2014) Winterization 2013-14 Baseline Report. February\n\n23\n\nMention: \"VASyR\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"VASyR survey estimates refugee household debt prevalence, borrowing, and uses of credit.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000617:22:0", "occurrence_id": "5cfe4532f8288fac3abf455d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _Figure [9]: Non-food related coping strategies_\n\n\n<u>PRS</u>\n\n\nDuring an UNRWA assessment in October 2013, participants in 16FGDS indicated the following coping\nmechanisms:\n\n\n  - Reducing essential non-food items such as electricity, water, and transportation, acquiring drinking\nwater from the public tap instead of buying water bottles, and sharing accommodation with other\nfamilies. This had forcibly led many families to live in collective shelters with separators between one\nfamily and another. As a result, this had created lack of privacy as several PRS individuals reported.\n\n  - Sleeping on mattresses instead of beds and borrowing money from other PRS families were also\nnoted.\n\n\n_Debt_\n\n\n  - Oxfam19 found that Syrian refugee household debt was USD 454. This positively correlated with length\nof residency. In Tripoli the average debt was over USD 815 (average residency in Lebanon over 15\nmonths) while in Beirut this was USD 153 per household.\n\n  - The VASyR found that 75% of households had debts and 70% reported borrowing money or receiving\ncredit during the three months before the survey was conducted. The average amount of debt was USD\n600, but half of the interviewed households owed USD 200 or less. Loans were mainly provided by\nfriends or relatives to buy food (81%), pay the rent (52%) or cover health expenses (25%). (Figure 10).\nHouseholds registered longer ago were significantly more likely to have higher amounts of debts.\n\n\n19Oxfam _2014) Winterization 2013-14 Baseline Report. February\n\n23\n\nMention: \"Oxfam\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Oxfam report provides an estimate of Syrian refugee household debt.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000680:4:4", "occurrence_id": "904142e95abe3fa3e867e6bf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nAgaar and Dinka Atuot in Mvolo Amadi State. As a result, a\nnumber of people were reportedly killed and cattle stolen. The\nlocal authorities claimed that civilians from Bahr el Girindi were\ndisplaced to Mvolo while those civilians from Mapourdit moved to\nYirol County, Lakes State.\n\n\nAccording to a local organization Mundri Active Youth\nAssociation (MAYA) operating in Mundri, nearly 11,000 people\n\n\n\n25 According to DRC weekly reporting there has been an increase in departures from the POC to Sudan. In their report, 1,317 departures for the fi rst three weeks of April 2017 were recorded, most all were to Sudan. IOM\nhas also monitored movements of people leaving Malakal POC and other areas of the Upper Nile region indicating a regular weekly movement of a couple of hundred people.\n\nMention: \"DRC weekly reporting\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"DRC weekly reporting documents departures from a protection site to Sudan.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000680:4:4", "occurrence_id": "c4167c5710e777f7b8ba3d01", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nAgaar and Dinka Atuot in Mvolo Amadi State. As a result, a\nnumber of people were reportedly killed and cattle stolen. The\nlocal authorities claimed that civilians from Bahr el Girindi were\ndisplaced to Mvolo while those civilians from Mapourdit moved to\nYirol County, Lakes State.\n\n\nAccording to a local organization Mundri Active Youth\nAssociation (MAYA) operating in Mundri, nearly 11,000 people\n\n\n\n25 According to DRC weekly reporting there has been an increase in departures from the POC to Sudan. In their report, 1,317 departures for the fi rst three weeks of April 2017 were recorded, most all were to Sudan. IOM\nhas also monitored movements of people leaving Malakal POC and other areas of the Upper Nile region indicating a regular weekly movement of a couple of hundred people.\n\nMention: \"IOM\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"IOM monitoring records recurring movements of people leaving Malakal POC and nearby areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000711:3:2", "occurrence_id": "85170f99bf7142a3519c66e3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 8025708F004BE3B1/%0x28httpInfoFiles%0x29/12E8C7224C2A6A9EC125763900315AD4/$file/monitoring-disaster-displacement.pdf)</u>\n<u>[onitoring-disaster-displacement.pdf](http://www.internal-displacement.org/8025708F004BE3B1/%0x28httpInfoFiles%0x29/12E8C7224C2A6A9EC125763900315AD4/$file/monitoring-disaster-displacement.pdf)</u>\n<u>6 United Nations International Strategy for Disaster Reduction. Terminology: Basic terms of disaster risk</u>\n[reduction, available at www.unisdr.org/eng/library/lib-terminology-eng%20home.htm](http://www.unisdr.org/eng/library/lib-terminology-eng%20home.htm)\n[7 Emergency Events Database available at www.em-dat.be](http://www.em-dat.be/)\n8 Under-Secretary-General for Humanitarian Affairs and Emergency Relief Coordinator, Opening Remarks\nat the Dubai International Humanitarian Aid and Development Conference and Exhibition ―DIHAD 2008\n[Conference‖, 8 April 2008, available at: http://www.reliefweb.int/rw/rwb.nsf/db900sid/YSAR-](http://www.reliefweb.int/rw/rwb.nsf/db900sid/YSAR-7DHL88?OpenDocument)\n<u>[7DHL88?OpenDocument](http://www.reliefweb.int/rw/\n\nMention: \"Emergency Events Database\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Emergency Events Database is cited as a disaster-data resource in the reference material.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000696:72:0", "occurrence_id": "904e9b7aebdca98d1b1a3b25", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: UNDP Regular Perceptions Survey Wave IV 11/28/18, 5(29 PM\n\n\nhttps://enketo.ona.io/x/#eqB7wB2W Page 29 of 32\n\nMention: \"UNDP Regular Perceptions Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Fourth wave of UNDP’s regular perceptions survey; this passage gives its fieldwork timestamp.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000717:8:1", "occurrence_id": "8e5c6cbbe12edf9a500e2cef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: edad. El gráfico\nindica una disminución en las fronteras norte y sur, lo que podría reflejar un cambio en las rutas o una menor atracción hacia\nestas zonas debido a la creciente inseguridad y a la precariedad económica. En conjunto, las dinámicas de movilidad y\nasentamiento de ambas poblaciones revelan no solo motivaciones geográficas, sino también factores de seguridad, acceso\na oportunidades y redes de apoyo comunitario.\n\n\n\n\n\n\n\n\n\n\n\n**Mapa lugares de acogida de personas refugiadas de Colombia.** **Mapa lugares de acogida de personas refugiadas y migrantes**\n\n**Fuente: Registros hechos por ACNUR y socios (ProGres 2025)** **de Venezuela. Fuente: MINEDUC 2025**\n\n\n\n**Fuente: Registros hechos por ACNUR y socios (ProGres 2025)**\n\n\n\n**Mapa lugares de acogida de personas refugiadas y migrantes**\n\n\n\nLos datos demográficos de personas refugiadas y otras desplazadas registrados por ACNUR en Ecuador hasta abril de\n2025 muestran una población compuesta en su mayoría por mujeres y personas adultas. En términos de sexo, el total de\nmujeres desplazadas por la fuerza registradas asciende a 337,472, mientras que el de hombres es de 273,316. Esto significa\nque las mujeres representan aproximadamente el 55.3% del total, frente a un 44.7% que corresponde a los hombres. Esta\ndiferencia indica\n\nMention: \"Registros hechos por ACNUR y socios\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Registration records map accommodation locations for Colombian refugees and Venezuelan refugees/migrants.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000717:8:1", "occurrence_id": "bc85b126bbcc11bf9d9e150e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: edad. El gráfico\nindica una disminución en las fronteras norte y sur, lo que podría reflejar un cambio en las rutas o una menor atracción hacia\nestas zonas debido a la creciente inseguridad y a la precariedad económica. En conjunto, las dinámicas de movilidad y\nasentamiento de ambas poblaciones revelan no solo motivaciones geográficas, sino también factores de seguridad, acceso\na oportunidades y redes de apoyo comunitario.\n\n\n\n\n\n\n\n\n\n\n\n**Mapa lugares de acogida de personas refugiadas de Colombia.** **Mapa lugares de acogida de personas refugiadas y migrantes**\n\n**Fuente: Registros hechos por ACNUR y socios (ProGres 2025)** **de Venezuela. Fuente: MINEDUC 2025**\n\n\n\n**Fuente: Registros hechos por ACNUR y socios (ProGres 2025)**\n\n\n\n**Mapa lugares de acogida de personas refugiadas y migrantes**\n\n\n\nLos datos demográficos de personas refugiadas y otras desplazadas registrados por ACNUR en Ecuador hasta abril de\n2025 muestran una población compuesta en su mayoría por mujeres y personas adultas. En términos de sexo, el total de\nmujeres desplazadas por la fuerza registradas asciende a 337,472, mientras que el de hombres es de 273,316. Esto significa\nque las mujeres representan aproximadamente el 55.3% del total, frente a un 44.7% que corresponde a los hombres. Esta\ndiferencia indica\n\nMention: \"MINEDUC 2025\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"MINEDUC data are cited as a source for the map of Venezuelan refugees and migrants.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000757:57:1", "occurrence_id": "e704a557ab30088eb8b66519", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Africa regions\nexperienced the most significant decreases in the\nnumber of refugee registrations during the year. <sup>**125**</sup>\n\n\n\n**123** Status on 25 May 2020, <u>[UNHCR Protection Dashboard.](https://data2.unhcr.org/en/situations/covid-19)</u>\n**124** In 2012 there was a significant increase in the number of refugee registrations, notably due to the conflict in Syria.\n**125** All figures relate to UNHCR’s web-based case management system, proGres.\n\n\n58 UNHCR > **GLOBAL TRENDS 2020**\n\nMention: \"UNHCR Protection Dashboard\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UNHCR Protection Dashboard supplies refugee-registration figures reported in Global Trends 2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000757:57:1", "occurrence_id": "a0d3309de70d29b5772b4ff7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Africa regions\nexperienced the most significant decreases in the\nnumber of refugee registrations during the year. <sup>**125**</sup>\n\n\n\n**123** Status on 25 May 2020, <u>[UNHCR Protection Dashboard.](https://data2.unhcr.org/en/situations/covid-19)</u>\n**124** In 2012 there was a significant increase in the number of refugee registrations, notably due to the conflict in Syria.\n**125** All figures relate to UNHCR’s web-based case management system, proGres.\n\n\n58 UNHCR > **GLOBAL TRENDS 2020**\n\nMention: \"proGres\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UNHCR’s web-based proGres system is the underlying refugee-registration database.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000857:10:1", "occurrence_id": "ffa287d1949fce8289cccf9e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  For the first time, Germany hosted more\nUkrainians (876,300 or 39 per cent) than any other\nnationality, including Syrians (664,200 or 30 per cent).\n\n\n\nOther countries hosting more than 1 million refugees\nby mid-2022 were Pakistan, Poland, the Russian\nFederation, <sup>**29**</sup> Sudan and Uganda.\n\n\n\n**28** By 19 October 2022, the number of Ukrainian refugees had grown to 7.7 million. In addition, a number of third country nationals as well as\nrefugees and asylum seekers hosted in Ukraine before the invasion were also forced to leave the country.\n**29** As of 30 June, registration and formal recognition of Ukrainians in the Russian Federation were still ongoing and therefore not all those\nreported had the formal status of refugees­.\n\n\nUNHCR > **MID-YEAR TRENDS 2022** 11\n\nMention: \"MID-YEAR TRENDS 2022\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"UNHCR Mid-Year Trends report provides global refugee-registration and hosting statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000831:6:1", "occurrence_id": "b8da11460c183ab00375ea1e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  number of serious\nfactors, including: risks, threats and potential trauma faced by those who come forward; significant\ngaps in available services; restrictions on movement; shame, fear, stigma and discrimination; risks of\nretaliations and “honor killings”; impunity for perpetrators; and the existence of mandatory\nreporting of sexual violence by government health staff. Feedback from communities and service\nproviders indicate an increase of sexual violence within communities, directly related to the crisis\nand mass displacement. However, when reporting of GBV does happen, it is untimely, with only 9%\nof GBV cases reporting within three days of the incident. <sup>16</sup> [^16: GBVIMS, July 2015 – February 2016. This statistic represents all GBV cases, not just sexual violence.] Timely reporting is critical for addressing\nthe mental and physical health needs, including preventing long-lasting psychological effects of\ntrauma and providing lifesaving HIV post-exposure prophylaxis ad other immediate medical care.\n\nGaps in humanitarian aid have increased risks of violence and heightened the likelihood of women\nand girls being forced to engage in negative coping strategies (like survival sex or early and forced\nmarriage) to meet basic needs. Displaced women, especially widows and female-headed\nhouseholds, are particularly vulnerable to GBV. Safety audits in IDP and refugee sites identified\nsecurity risks for women and girls, including long distances to collect water, poor lighting at\nsanitation facilities, and overcrowded living. A recent study among IDPs living in critical shelters and\ncamps found that 64% of latrines surveyed were both unsegregated and without locks, representing\na significant risk of violence for women and girls. <sup>17</sup> [^17: GBV risks amongst IDPs Living in Critical Shelters and Camps, International Organization for Migration (IOM), September\n2015] Threats to their physical safety and security and\non-going harassment are part of the daily reality for many IDP women and girls.\n\n12 GBVIMS, July 2015 – February 2016. Data is only from reported cases and is in no way representative of\n\nMention: \"GBVIMS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"GBVIMS reported-case data quantify sexual-violence reporting timeliness.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000831:6:1", "occurrence_id": "c9ee92077b6519fa3a3a2e1c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  number of serious\nfactors, including: risks, threats and potential trauma faced by those who come forward; significant\ngaps in available services; restrictions on movement; shame, fear, stigma and discrimination; risks of\nretaliations and “honor killings”; impunity for perpetrators; and the existence of mandatory\nreporting of sexual violence by government health staff. Feedback from communities and service\nproviders indicate an increase of sexual violence within communities, directly related to the crisis\nand mass displacement. However, when reporting of GBV does happen, it is untimely, with only 9%\nof GBV cases reporting within three days of the incident. <sup>16</sup> [^16: GBVIMS, July 2015 – February 2016. This statistic represents all GBV cases, not just sexual violence.] Timely reporting is critical for addressing\nthe mental and physical health needs, including preventing long-lasting psychological effects of\ntrauma and providing lifesaving HIV post-exposure prophylaxis ad other immediate medical care.\n\nGaps in humanitarian aid have increased risks of violence and heightened the likelihood of women\nand girls being forced to engage in negative coping strategies (like survival sex or early and forced\nmarriage) to meet basic needs. Displaced women, especially widows and female-headed\nhouseholds, are particularly vulnerable to GBV. Safety audits in IDP and refugee sites identified\nsecurity risks for women and girls, including long distances to collect water, poor lighting at\nsanitation facilities, and overcrowded living. A recent study among IDPs living in critical shelters and\ncamps found that 64% of latrines surveyed were both unsegregated and without locks, representing\na significant risk of violence for women and girls. <sup>17</sup> [^17: GBV risks amongst IDPs Living in Critical Shelters and Camps, International Organization for Migration (IOM), September\n2015] Threats to their physical safety and security and\non-going harassment are part of the daily reality for many IDP women and girls.\n\n12 GBVIMS, July 2015 – February 2016. Data is only from reported cases and is in no way representative of\n\nMention: \"GBV risks amongst IDPs Living in Critical Shelters and Camps\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"IOM study reports safety risks in IDP shelters and camps, including unsanitary latrines.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000831:6:1", "occurrence_id": "3365164b875b911d53c75db9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  number of serious\nfactors, including: risks, threats and potential trauma faced by those who come forward; significant\ngaps in available services; restrictions on movement; shame, fear, stigma and discrimination; risks of\nretaliations and “honor killings”; impunity for perpetrators; and the existence of mandatory\nreporting of sexual violence by government health staff. Feedback from communities and service\nproviders indicate an increase of sexual violence within communities, directly related to the crisis\nand mass displacement. However, when reporting of GBV does happen, it is untimely, with only 9%\nof GBV cases reporting within three days of the incident. <sup>16</sup> [^16: GBVIMS, July 2015 – February 2016. This statistic represents all GBV cases, not just sexual violence.] Timely reporting is critical for addressing\nthe mental and physical health needs, including preventing long-lasting psychological effects of\ntrauma and providing lifesaving HIV post-exposure prophylaxis ad other immediate medical care.\n\nGaps in humanitarian aid have increased risks of violence and heightened the likelihood of women\nand girls being forced to engage in negative coping strategies (like survival sex or early and forced\nmarriage) to meet basic needs. Displaced women, especially widows and female-headed\nhouseholds, are particularly vulnerable to GBV. Safety audits in IDP and refugee sites identified\nsecurity risks for women and girls, including long distances to collect water, poor lighting at\nsanitation facilities, and overcrowded living. A recent study among IDPs living in critical shelters and\ncamps found that 64% of latrines surveyed were both unsegregated and without locks, representing\na significant risk of violence for women and girls. <sup>17</sup> [^17: GBV risks amongst IDPs Living in Critical Shelters and Camps, International Organization for Migration (IOM), September\n2015] Threats to their physical safety and security and\non-going harassment are part of the daily reality for many IDP women and girls.\n\n12 GBVIMS, July 2015 – February 2016. Data is only from reported cases and is in no way representative of\n\nMention: \"Safety audits\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Safety audits identify security risks for women and girls in displacement sites.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000864:4:2", "occurrence_id": "d643dd60c7bcebe6cadc8018", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *\n**may include several individuals) sub-**\n**mitted to the United States Depart-**\n**ment of Homeland Security (DHS).**\n**However, applications submitted to**\n**the Executive Office of Immigration**\n**Review (EOIR) of the United States**\n**Department of Justice are recorded**\n**as individuals. To allow compara-**\n**bility across countries of asylum,**\n**UNHCR uses an average figure of**\n\n\n\n1.356 **individuals per case to estimate**\n**the number of individuals reported**\n**by DHS for** 2013 **, because data sug-**\n**gest that, on average, one asylum case**\n**involves** 1.356 **individuals. In the ta-**\n**bles on country of origin, figures for**\n**the United States of America are a**\n**combination of the number of cases**\n**(DHS) and the number of individu-**\n**als (EOIR), owing to the large varia-**\n**tion in family size by nationality.**\n\n**All figures in this report should**\n**be considered as provisional and**\n**subject to change. Due to retroac-**\n**tive changes and adjustments, some**\n**of the data included in this publica-**\n**tion may differ slightly from that**\n**reported in previous UNHCR docu-**\n**ments, or from the official figures**\n**published by States.**\n\n\n(2) See Annex Table 1 for a list of countries.\n\n(3) According to EURODAC (an EU-wide fingerprint\ndatabase), 29.2 per cent\n\nMention: \"EURODAC\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"EU-wide fingerprint database provides information on asylum applications across European countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000882:0:0", "occurrence_id": "b3e3027a901587dea7698eb7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **MABAN COUNTY COVID-19 RESPONSE**\n**MABAN RISK COMMUNICATION AND COMMUNITY ENGAGEMENT WORKING GROUP**\n\nMONITORING, EVALUATION, ACCOUNTABILITY, RESEARCH AND LEARNING UNIT\n# Analysis of Monthly Inter-Agency Monitoring Data for COVID-19 RCCE Activities in Maban County\n\n## **Saturday 01 August 2020 – Monday 31 August 2020**\n\n\nMaban County\nHealth Department\n\n\n**Background:** All humanitarian partners in South Sudan involved in COVID-19 risk\ncommunication and community engagement (RCCE) interventions are required to submit their\nmonitoring and evaluation (M&E) data to the national RCCE working group on a weekly basis. In\nMaban, humanitarian partners submit their data to the Maban RCCE working group, which\nconsolidates the information and sends it to the national RCCE working group on a weekly basis.\nPartners use a harmonized M&E tool that was developed by the national RCCE working group.\nThis report outlines RCCE data that was collected in Maban County over the month of August.\n\n\n**Acknowledging partners who submitted RCCE data in August:** 1) Humanitarian Development\nConsortium (HDC), 2) Relief International (RI), 3) Jesuit Refugee Service (JRS), 4) Médecins San\nFrontières (MSF), 5) Save the Children International (SCI), 6) Danish Refugee Council (DRC), 7)\nLutheran World Federation (LWF), 8) Samaritan’s Purse (SP)\n\n\n**Table of contents**\n\n\n1.0. Number of trainings conducted for community mobilisers/volunteers & Number of religious\nleaders/community influencers oriented on COVID-19 including teachers, traditional healers,\nwomen and youth leaders ( **page 02** )\n2.0. Number of partner staff oriented on COVID-19 ( **page 03** )\n\nMention: \"Monthly Inter-Agency Monitoring Data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Monthly monitoring data aggregate partners’ COVID-19 risk-communication and community-engagement activities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000890:1:1", "occurrence_id": "2a5e99780e974aef1bbbe0c1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -post partum depression (UNFPA). This\nimpacts negatively on them completing daily tasks, maintaining good social and family relationships as well as taking care of their physical health.\n\n### **The Syrian context**\n\nThere are many ways to improve the lives of people with\nmental disorders. One of them is through developing policies, plans and programmes which contribute to the provision of better services.\n\n\nMental health legislation exists in Syria, but it refers to the\nyear 1953, and as such is quite outdated in contemporary\ntimes. However in 2010, new legislation in relation to mental health was drafted by the Ministry of Health in collaboration with the World Health Organization but has yet to\nbe ratified.\n\n\nMoreover, a mental health strategy in Syria was revised in\n2007 and officially approved in 2011 <sup>1</sup> . The mental health\npolicy aims to integrate mental health into the primary\nhealth care and secondary health care systems, including\ninvolving mental health professionals in primary health\ncare centers, adding psychiatric units in public hospitals\nand organizing awareness-raising campaigns to reduce\nstigma. In 2001 the Psychiatric Directorate was also established within the Ministry of Health to improve and develop mental health services.\n\n\n1. WHO 2011 Mental Health Atlas\n\n\n\n\n\n**Protection Sector/ Issue 5** **1**\n\nMention: \"WHO 2011 Mental Health Atlas\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Mental Health Atlas provides reference data for mental-health services and policy context in Syria.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000925:38:1", "occurrence_id": "522d9a473d7f88454c2c8489", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: %20stigma%20associated%20with%20the%20coronavirus%20disease%202019%20(COVID-19).pdf_\n\n\n_Philippines: WHO Coronavirus Disease (COVID-19) Dashboard. (n.d.). Retrieved September 13, 2020, from https://covid19.who.int/region/_\n\n_wpro/country/ph_\n\n\n_Yee, J. (2020, July 29). Hospitals running out of COVID-19 beds- DOH. Retrieved September 13, 2020, from https://newsinfo.inquirer._\n\n_net/1313657/doh-warns-hospitals-running-out-of-covid-19-beds_\n\n\n39\n\nMention: \"WHO Coronavirus Disease (COVID-19) Dashboard\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"WHO dashboard provides country-level COVID-19 information for the Philippines.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:000979:9:2", "occurrence_id": "35468d4b72f5a6d3d00eb54c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  at all grades</mark>** <mark>of the</mark>\n<mark>national education programs.</mark>\n\n<mark>•</mark> **<mark>Respect the guiding principles of humanitarian operation</mark>** <mark>including its</mark>\n<mark>independence and ensuring the safety of humanitarian actors and facilitate</mark>\n<mark>unconditional access and implementation of humanitarian services, including access</mark>\n<mark>of female and male, international and national staff to all communities based on</mark>\n<mark>identified needs and vulnerability.</mark>\n\n<mark>•</mark> <mark>Allow</mark> **<mark>access to a national mine action survey to capture the extent of</mark>**\n**<mark>contamination</mark>** <mark>and provide information on any known contamination, and facilitate</mark>\n<mark>access to women, girls, boys, and men to mine, IED, and other explosive device risk</mark>\n<mark>education through a few risks’ education teams.</mark>\n\n<mark>•</mark> <mark>In order to prevent forced eviction from informal settlements, long-term solutions</mark>\n<mark>must be established before residents in informal settlements including IDPs are</mark>\n<mark>relocated to their areas of origin or find any other durable solutions. It may take</mark>\n<mark>years to achieve it, therefore it requires proper planning in consultation with the</mark>\n<mark>people affected, and solutions should be based on their voluntary and informed</mark>\n<mark>choice.</mark>\n\n\n\n**For HC/HCT & Humanitarian partners** :\n\n\n<mark>Strengthen\n\nMention: \"national mine action survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National mine-action survey captures contamination to inform risk-education and protection planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001098:1:1", "occurrence_id": "e26f603b98a8176a0250288b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  crimes**\n\n**involving sexual violence** : The increased pressure on\n\nfamilies to meet their basic needs due to constraints on\n\naccessing the informal labour market, stress caused by\n\nthe lockdown and movement restrictions, as well as in\ncreased reports of alcohol and substance abuse have\n\nbeen observed as contributing factors to continued inci\ndents of domestic violence. For instance, while reports of\n\ndomestic violence did not increase between 2019 and\n\n2020, in 2021, UNHCR observed an increase of 48% in\n\nreports of domestic violence cases in the Tak camps. In\n\n2021, 48 cases have been reported in Mae Sot, 37 in\n\nMae Hong Song and 4 in Kanchanaburi.\n\n\nCOVID-19-related restrictions also contributed to un\nderreporting during the first quarter of 2021. The pres\nence of perpetrators of domestic violence, having to stay\n\nhome due to movement restrictions, may have likely dis\ncouraged survivors of violence to reports incidents.\n\nTherefore, victims have less access to reporting mecha\nnisms and assistance.\n\n\n\n**to work informally outside the camps to support their**\n\n**families, thus putting them at possible risk of deregistra-**\n\n**tion from the Ministry of Interior database.** Refugees in\n\nthis situation have approached UNHCR and other PWG\n\nmembers for their assistance on their registration status\n\nand birth registration/certificates, often in cases where\n\ntheir parents had been deregistered. However, unre\nsolved outstanding issues following the 2019 headcount\n\nexercise by the RTG has largely limited the PWG’s advo\ncacy capacity on issues related to registration and docu\nmentation.\n\n\n**Refugees have faced even more constraints in accessing**\n\n**the informal and ad hoc self-reliance opportunities during**\n\n**the lockdown period, and there have been some interrup-**\n\n**tions and delays in livelihood activities and training.** As a\n\nresult, more refugees have expressed interest in agriculture\n\nactivities outside\n\nMention: \"Ministry of Interior database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Administrative refugee-registration database affects registration status and documentation for refugees in camps.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001026:0:1", "occurrence_id": "6904705e885ef946640cf5bf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  behind a number\nof active workstreams. <sup>3</sup> [^3: Localisation, resourcing, communications, capacity building and the QCCF] That said, a significant amount of work is still required over the coming years,\nparticularly in IASC/mixed settings, where adequately resourcing the new model and effectively\npromoting local engagement and leadership represent the main challenges. Efforts are also needed at\nfield, regional and global level to untangle the roles and responsibilities of various stakeholders and\ndevelop strategic working relationships; to strengthen approaches to capacity building and ensure all\nrelevant partners throughout the system have the skills and knowledge they need; and for the CAG to\nenhance its relationship with the field. Notably, the standards and guidance issued thus far by the CAG\nhave been well received and contributed to more consistent approaches to cash coordination. The\n<u>below sections will go through each of these topics in more detail.</u>\n\nOver the course of the transition efforts have been made to advance **localisation** commitments mainly\nthrough local actor representation on the CAG and as CWG co-chairs. This has brought a welcome\nincrease in focus to the issue overall, with 83% of CWGs in refugee settings now having a local cochair. UNHCR’s considerable cash programming and coordination experience was identified as an\nimportant contributing factor to this achievement. Effectively promoting sustainable local engagement\nand leadership has been more challenging in IASC/mixed settings, and for the CAG itself. Some of the\nmain barriers for local actors include a lack of funding, technical capacity and experience in\nimplementing cash programming. <sup>4</sup> [^4: Local Engagement Online Survey, Zebs, March 2024] Also, a need to ensure local actors feel confident in raising their\nvoice amongst international partners. That said, the CAG has recently launched a Local Leadership\nInitiative to identify sustainable arrangements for CWG co-leadership and is planning to increase the\nnumber of local observers to the forum itself.\n\nThe issue of **resourcing*\n\nMention: \"Local Engagement Online Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Online survey informs analysis of local actors’ roles and representation in refugee-response coordination.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001017:1:1", "occurrence_id": "f6b2a31112fbf028463abc0a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  refugees who arrived by boat in recent years and who are residing primarily in temporary\nshelters in Aceh and North Sumatra.\n\n\nIndonesia’s National Refugee Task Force, established in 2019, remains an important Government entity\nin the management of refugee affairs. Deputy V in POLHUKAM is the head of the National Refugee\nTask Force and members include the Ministry of Foreign Affairs and a wide range of security-focused\nactors. Several local refugee task forces operate in provinces hosting refugees and remain active and\nimportant counterparts. UNHCR also works with a range of partners in Indonesia, particularly IOM,\nYCWS, and YKMI in several areas of protection and assistance. In addition, UNHCR works with nongovernmental, civil society and refugee-led organizations, as well as other UN agencies working with\nand advocating for the rights of the refugee population in Indonesia.\n\n\n**Locations of Persons Registered with UNHCR**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n1 The Government of Indonesia-UNHCR host country agreement has been in place since 1979.\n\n\nUNHCR / 1 November 2024 2\n\nMention: \"Locations of Persons Registered with UNHCR\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UNHCR registration records are mapped to show locations of persons registered in Indonesia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001181:18:0", "occurrence_id": "a59ee50f582aaf9467050261", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: MONITOREO DE PROTECCIÓN\n\n\nEl promedio de incidentes reportados por encuestado fue de 4.6 (HFS2: 2.4).\n\n\n**Personas o núcleos que sufrieron incidentes, según nacionalidad**\n\n\nSí\n\n\n\n\n\nNo\n\n\nEl Salvador Nicaragua Otra Total Colombia Venezuela\n\n\n_Fuente: HFS3_\n\n\nEntre los otros incidentes reportados, aunque, en menor medida, se mencionaron intentos de\n\nreclutamiento, homicidio, secuestro y agresión sexual; así como persecución política, torturas,\n\ndiscriminación, despidos injustificados, acoso callejero y agresiones verbales.\n\n\nEl 6.1% de los encuestados indicó haber experimentado incidentes asociados con acceso o\n\npermanencia en algún país (retorno forzado, denegación de entrada o deportación) (HFS2: 5.46%).\n\nDe estos 22 casos, 41% ocurrió en Panamá, 14% en Venezuela, 14% en Colombia, 14% en EE. UU.,\n\n18% en otros países (hubo múltiples eventos por caso\n\n\n**4.1. Miembros del núcleo familiar en país de origen:**\n\n\nEl 40% de los miembros dependientes está fuera de Panamá, el total de personas dependientes en\n\npaís de origen o tránsito es de 696, sumando las 1,025 en Panamá, estos 358 hogares están\n\ncompuestos por un total 1,721 miembros que se encuentran en varios países. Las principales\n\nrazones brindadas de no haber venido a\n\nMention: \"HFS2\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"HFS2 survey responses quantify protection incidents and access-related experiences among displaced households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001181:18:0", "occurrence_id": "dd3bb113b0f1adfc7d69b0d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: MONITOREO DE PROTECCIÓN\n\n\nEl promedio de incidentes reportados por encuestado fue de 4.6 (HFS2: 2.4).\n\n\n**Personas o núcleos que sufrieron incidentes, según nacionalidad**\n\n\nSí\n\n\n\n\n\nNo\n\n\nEl Salvador Nicaragua Otra Total Colombia Venezuela\n\n\n_Fuente: HFS3_\n\n\nEntre los otros incidentes reportados, aunque, en menor medida, se mencionaron intentos de\n\nreclutamiento, homicidio, secuestro y agresión sexual; así como persecución política, torturas,\n\ndiscriminación, despidos injustificados, acoso callejero y agresiones verbales.\n\n\nEl 6.1% de los encuestados indicó haber experimentado incidentes asociados con acceso o\n\npermanencia en algún país (retorno forzado, denegación de entrada o deportación) (HFS2: 5.46%).\n\nDe estos 22 casos, 41% ocurrió en Panamá, 14% en Venezuela, 14% en Colombia, 14% en EE. UU.,\n\n18% en otros países (hubo múltiples eventos por caso\n\n\n**4.1. Miembros del núcleo familiar en país de origen:**\n\n\nEl 40% de los miembros dependientes está fuera de Panamá, el total de personas dependientes en\n\npaís de origen o tránsito es de 696, sumando las 1,025 en Panamá, estos 358 hogares están\n\ncompuestos por un total 1,721 miembros que se encuentran en varios países. Las principales\n\nrazones brindadas de no haber venido a\n\nMention: \"HFS3\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"HFS3 provides the incident-by-nationality figures shown in the chart.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001274:9:0", "occurrence_id": "e020c67747ca859bdc403dad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **1.4 Overall availability of NFIs in markets**\nRespondents were asked how regularly basic NFIs were available in the markets. Options:\n\nAlways ≥80% of the time ≥70% of the time ≥ 60% of the time ≥ 50% of the time ≥40% of the time ≥30% of the time <30%\n\nData sources: Syria, Gaziantep hubs and XB NFI sector members, Multi-sectoral partners through OCHA, NPM and Urban Community profile, 266 SDs reporting\n\n\n   - Only 2 sub-districts reported that basic NFIs are always available in the markets\n\n   - 27 sub-districts (12%) reported that around half of NFIs are not available\n\n   - A majority of sub-districts (53%) have at least 70% of NFIs available\n\n   - Al-Hassakeh, Aleppo, Rural Damascus and Tartous have the lowest availability of NFIs (majority of SDs with less than 60% availability)\n\n\n\n**1.4.1 Availability of NFIs in the market place**\n\n\n\n**1.4.2 NFIs availability by sub-district (% of sub-districts)**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDNA All basic NFIs available\n\n≥80% of basic NFIs ≥70% of basic NFIs\n\n≥60% of basic NFIs are alw ays ≥50% of basic NFIs are available\n\n≥30% of basic NFIs available <30% NFIs are always\n\n\n\nAlways available ≥80% ≥70% ≥60% ≥50% ≥30% <30%\n\n\n\n7\n\nMention: \"Urban Community profile\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Urban Community Profile and partner monitoring supply sub-district data on non-food-item availability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001303:14:1", "occurrence_id": "b241dd7d72067e3701b639b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \non need, not mandates or artificial legal categorizations‟.\n52 See further Alice Edwards, 'Overview of International Standards and Policy on Gender Violence and\nRefugees: Progress, Gaps and Continuing Challenges for NGO Advocacy and Campaigning'. Paper\ndelivered at the Canadian Refugee Council International Refugee Rights Conference, Toronto, Canada, 1719 June 2006. Amnesty International, AI Index: POL/33/004/2006.\n\n13\n\nMention: \"AI Index\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Amnesty International reference on gender violence and refugee rights standards.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001462:34:0", "occurrence_id": "b6b07702b6caf9a1c319a185", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <mark>TABLE 12</mark> **Origin of asylum applicants in Australia and New Zealand \u0003** | 2013 **(1)**\n\n\n\n\n\n\n\nUNHCR Asylum Trends 2013 **35**\n\nMention: \"UNHCR Asylum Trends 2013\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UNHCR asylum trends provide applicant-origin data presented in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001494:7:0", "occurrence_id": "f87a2e2bd6c9e6fd166ad679", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: In conflict areas, almost no response services are available to survivors. Due to the limited\naccess to medical care, psychosocial support, and other specialized protection services,\nincluding cash and dignity kits, that humanitarian partners are unable to deliver in the\nabsence of credible guarantees from the authorities, survivors remain unattended,\nsuffering severe physical and emotional consequences with no care or redress.\n\nOn 24 May, the United Nations Special Representative of the Secretary-General on Sexual\nViolence in Conflict Pramila Patten, expressed grave concerns about reports of sexual\nviolence against women and girls, including allegations of rape, in the context of the\nhostilities.\n\n\n**Violations against children.** Children, who were already among those most in need\nbefore the crisis (57% of the 15.2 estimated in needs based on the HRP 2023), have had\ntheir situation further exacerbated due to the ongoing conflict. Actors on the ground <sup>8</sup> have\nidentified grave violations affecting children, including killing, maiming, and recruitment into\narmed forces. The disruption of national child-care systems affects particularly those\nchildren who were already unaccompanied or living in institutional care. Even those\nrefugees and IDP children who reached safe locations have seen their well-being severely\naffected by the interruption of education and health services; suffer from the exposure to\nconflict-related distress and trauma; experience neglect and deteriorated family\nenvironment due to severe destitution; and may experience involuntary family separation\nwhile on the move.\n\n\nThe lived experience of the conflict and the flight has had a severe impact on the mental\nhealth and psychological wellbeing of children, with signs of acute emotional distress widely\nreported amongst children as well as caregivers. The interruption of children’s access to\nschool due to the halting of education and the sudden displacement around final exam time\nhas hindered thousands of children from completing their course of study. Attendance rate\nat existing Child-Friendly Spaces has dropped, due to fleeing, as well as due to children\nbeing\n\nMention: \"HRP 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Humanitarian Response Plan provides needs estimates for children in conflict-affected communities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001518:9:0", "occurrence_id": "bde7a99fa045773614b9259d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: this, protection partners have been using context specific tools, trying to bring together\nqualitative and quantitative methods in assessing needs of the affected people. However,\noften geographically fragmented coverage allows little for comparison. Further, the analysis\nhas identified numerous information gaps, like reliable household level population data,\nlivelihoods, scale and barriers to access basic services, civil documentation, household level\ndata on intentions (integrate in place, return to place of origin, relocate), protection risks and\nnegative coping mechanisms as well as main vulnerable groups.\n\nAs a result, protection response and advocacy are not informed by the assessments directly,\nrelying on the proxy indicators like population estimates or data from other sectors. The\nexisting protection monitoring network in the country, having huge outreach in comparison to\nother sectors, while collecting first hand data on the protection risks and concerns of the\naffected by the conflict and displacement population, is not consistently analyzed and used to\ninform the humanitarian community for interventions and advocacy purposes. **Improving**\n**protection analysis and information management system will then allow increasing**\n**protection outcomes** by informing the overall humanitarian response with solid protection\nsituation understanding and evidence, comprehensive analysis and subsequent reporting and\nadvocacy **.**\n\n\nv **Improving complementarity between humanitarian and ER/stabilization actors**\n\n\nThe large part of humanitarian assistance is focused on the emergency phase of displacement\nor upon return for refugee returnees, leaving communities in the medium term with little means\nto stabilize and (re)integrate and at risk of developing negative coping mechanisms. At the\nsame time, the re-dimensioning of large scale development initiatives, due to increased\ninsecurity and loss of control of large part of the country by the GoIRA, deepened the\nchallenges in linking humanitarian with development and ensuring the inclusion of displaced\npopulations in long term (re)integration programs. Many of the more acute protection needs\nidentified during the first phase of displacement or return cannot be addressed by the mere\nprovision of humanitarian assistance.\n\nMention: \"population estimates\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Population estimates and data from other sectors are cited as proxy inputs when direct protection information is incomplete.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001518:9:0", "occurrence_id": "e228492ac42fecb325d52cb9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: this, protection partners have been using context specific tools, trying to bring together\nqualitative and quantitative methods in assessing needs of the affected people. However,\noften geographically fragmented coverage allows little for comparison. Further, the analysis\nhas identified numerous information gaps, like reliable household level population data,\nlivelihoods, scale and barriers to access basic services, civil documentation, household level\ndata on intentions (integrate in place, return to place of origin, relocate), protection risks and\nnegative coping mechanisms as well as main vulnerable groups.\n\nAs a result, protection response and advocacy are not informed by the assessments directly,\nrelying on the proxy indicators like population estimates or data from other sectors. The\nexisting protection monitoring network in the country, having huge outreach in comparison to\nother sectors, while collecting first hand data on the protection risks and concerns of the\naffected by the conflict and displacement population, is not consistently analyzed and used to\ninform the humanitarian community for interventions and advocacy purposes. **Improving**\n**protection analysis and information management system will then allow increasing**\n**protection outcomes** by informing the overall humanitarian response with solid protection\nsituation understanding and evidence, comprehensive analysis and subsequent reporting and\nadvocacy **.**\n\n\nv **Improving complementarity between humanitarian and ER/stabilization actors**\n\n\nThe large part of humanitarian assistance is focused on the emergency phase of displacement\nor upon return for refugee returnees, leaving communities in the medium term with little means\nto stabilize and (re)integrate and at risk of developing negative coping mechanisms. At the\nsame time, the re-dimensioning of large scale development initiatives, due to increased\ninsecurity and loss of control of large part of the country by the GoIRA, deepened the\nchallenges in linking humanitarian with development and ensuring the inclusion of displaced\npopulations in long term (re)integration programs. Many of the more acute protection needs\nidentified during the first phase of displacement or return cannot be addressed by the mere\nprovision of humanitarian assistance.\n\nMention: \"data from other sectors\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Cross-sector data serve as proxies for protection-response planning where direct evidence is not analyzed.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001554:2:0", "occurrence_id": "f8af0400f3fa6c24bd0f93d4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Figure 3. Have you personally experienced any of these types of**\n**incidents on your journey?**\n\n\n\nWomen consistently reported slightly more abuses than men for the top four protection\n\nincidents, highlighting the specific vulnerability of women in this conflict (Figure 3). The\n\nwidest gap pertains to sexual violence, faced by 75% of women and 54% of men – high\n\nrates, given that much sexual violence generally goes unreported. Men slightly more\n\noften reported kidnapping, which may be linked to forced conscription by parties to\n\nthe conflict. <sup>8</sup> [^8: UNHCR (14 October 2024). <u>[Afflux des Réfugiés du Soudan](https://data.unhcr.org/en/documents/details/111905)</u>] Older respondents (above 60 years old) also more often reported abuses\n\nthan respondents from other age groups, particularly for physical violence (90%), sexual\n\nviolence (76%), detention (71%), and kidnapping (58%), showcasing the existence of\n\nage-specific vulnerabilities in the conflict and calling for protection programming that is\n\nage-sensitive.\n\n## **Children perceived as particularly exposed to** **abuse during the journey**\n\nA vast majority of respondents (95%) noted that children were particularly vulnerable\n\nduring the journey. Death (94%), physical and sexual violence (83% each), robbery (72%),\n\ndetention (63%), and kidnapping (38%) were the most prominent risks for children (Figure\n\n4). According to UNHCR registration data, 88% of new Sudanese refugees in Chad are\n\nwomen and children, underlining the large protection challenges for this age group. <sup>9</sup> [^9: UNHCR, _op. cit._]\n\nAlthough no children were interviewed, 68% of respondents were travelling with children\n\nin their care, with more than a third of\n\nMention: \"UNHCR registration data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"UNHCR registration data corroborate the reported share of new Sudanese refugees who are women and children.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001551:2:0", "occurrence_id": "2393a5e80cd0281c012ae738", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: KEY FIGURES\n\n\n\nREGIONAL BUREAU FOR SOUTHERN AFRICA\n###### **POPULATIONS THAT UNHCR IS MANDATED TO PROTECT AND ASSIST**\n\nAs of 31 July 2023\n\n\nMAP OF POPULATIONS THAT UNHCR IS MANDATED TO PROTECT AND ASSIST\n\n\n**520,375** **REF**\n\n\n\n\n\n\n\n**3,746** **ASY**\n\n\n\n\n\n\n\n**42,231** **REF**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndo not imply official endorsement or acceptance by the United Nations\n\n\n\nMalawi (659,278), The Democratic Republic of the Congo (270,005), Mozambique (41,668) and\nZimbabwe (41,535).\n\n\n\n**Author: UNHCR DIMA - RSA** Contact : rsarbdima@unhcr.org **Source: REF, ASY, OOC, RET** (UNHCR PRIMES, Government); **IDP DRC** (OCHA); IDP Zimbabwe & Mozambique (IOM); **IDP ROC** (Government, Ministry of Social Affairs and Humanitarian Action (MASAH).\n\n\n** REF = Refugee; ASY = Asylum-seeker; OOC = Other person of concern; RET = Returnee              DRC = Democratic Republic of the Congo   ROC = Repulic of the Congo   IDP = Internal Displaced Person  IDP CFI = Conflic-induced IDPs   IDP RET = Returned IDPs\n\n\n\nDate of creation : As of 31 July 2023\n\n\nFor more information visit: UNHCR Data Portal\n\nMention: \"UNHCR PRIMES\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"UNHCR registration-system counts supply population totals by refugee, asylum-seeker, returnee, and other status.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001551:2:0", "occurrence_id": "fa2e7fd95d44f3330b0866eb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: KEY FIGURES\n\n\n\nREGIONAL BUREAU FOR SOUTHERN AFRICA\n###### **POPULATIONS THAT UNHCR IS MANDATED TO PROTECT AND ASSIST**\n\nAs of 31 July 2023\n\n\nMAP OF POPULATIONS THAT UNHCR IS MANDATED TO PROTECT AND ASSIST\n\n\n**520,375** **REF**\n\n\n\n\n\n\n\n**3,746** **ASY**\n\n\n\n\n\n\n\n**42,231** **REF**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndo not imply official endorsement or acceptance by the United Nations\n\n\n\nMalawi (659,278), The Democratic Republic of the Congo (270,005), Mozambique (41,668) and\nZimbabwe (41,535).\n\n\n\n**Author: UNHCR DIMA - RSA** Contact : rsarbdima@unhcr.org **Source: REF, ASY, OOC, RET** (UNHCR PRIMES, Government); **IDP DRC** (OCHA); IDP Zimbabwe & Mozambique (IOM); **IDP ROC** (Government, Ministry of Social Affairs and Humanitarian Action (MASAH).\n\n\n** REF = Refugee; ASY = Asylum-seeker; OOC = Other person of concern; RET = Returnee              DRC = Democratic Republic of the Congo   ROC = Repulic of the Congo   IDP = Internal Displaced Person  IDP CFI = Conflic-induced IDPs   IDP RET = Returned IDPs\n\n\n\nDate of creation : As of 31 July 2023\n\n\nFor more information visit: UNHCR Data Portal\n\nMention: \"UNHCR Data Portal\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNHCR Data Portal provides access to the refugee-population map and statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001571:1:0", "occurrence_id": "239aadbb382c38f6b29263d5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: - **Recommendation 3: Strengthening partnerships and build the capabilities** of actors that can contribute to expanding\nresettlement; engaging actors not traditionally involved in resettlement; strengthening the efficiency of processes and\nimproving data collection to inform evidence-based advocacy.\n\n## II. GLOBAL RESETTLEMENT NEEDS 2021 AND KEY PRIORITY SITUATIONS\n\n\n- **Recommendation 4: Priority situations:** As per the 2021 Projected Global Resettlement Needs (PGRN) more than 1.445\nmillion refugees are in need of resettlement. UNHCR urges EU Member States to focus efforts on refugees along the\n**Central Mediterranean Route,** as well as **in the Comprehensive Refugee Response Framework (CRRF) countries,** and **in**\n**the Middle East, with a focus on Syrian refugees.** Additionally, UNHCR calls for **unallocated quotas** that can be used in a\nflexible way for urgent and emergency cases across the globe.\n\n## III. KEY POLICY CONSIDERATIONS AND RECOMMENDATIONS\n\n\n- **Recommendation 5: Towards a predictable and sustainable European program:** The EU has taken encouraging steps\nto solidify a predictable and sustainable European programme for providing refugees third country solutions – with the\ndraft regulation proposing the **_Union Resettlement and Humanitarian Admission Framework_** . UNHCR looks forward to the\nopportunity to consult with the EU and Member States and provide input as the Framework comes closer to becoming a\nreality. The Pact and discussions ahead are also an opportunity to recall the importance of resettlement, and its function\nas a tool to provide protection and a durable solution to refugees.\n\n\n- **Recommendation 6: Enhance collaboration among actors and EASO engagement:** UNHCR welcomes ongoing close\ncollaboration with EASO and the opportunity to participate in EASO’s recent Resettlement and Humanitarian Admissions\nNetwork meetings to maximize information-sharing and coordination among all stakeholders involved.\n\n## IV. COMPLEMENT\n\nMention: \"2021 Projected Global Resettlement Needs\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Projected Global Resettlement Needs report estimates the number of refugees requiring resettlement and identifies priority situations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "reliefweb", "source_key": "reliefweb:001622:36:0", "occurrence_id": "40b0fdf0b212d964dc04eb11", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **4.4  Mental and Psychosocial Health**\n\n\n**Summary of assessment findings:**\n\n   - Mental and psychosocial health needs are an increasing challenge among the refugee population.\n\n   - There is limited data examining the MHPSS situation (prevalence and severity) among the refugee\npopulation and vulnerable groups. There is evidence from other humanitarian contexts that around\n10% of the refugee population will suffer from severe mental illness.\n\n   - The recent MHPSS 4Ws indicates interventions to tackle these issues are widespread across\nLebanon with a heavy concentration in Baalbek.\n\n   - PRS exhibit particularly high rates of emotional and mental disorders.\n\n\n_Table [6]: Assessment coverage by geographic area and target population_\n\n\n\n\n\n\n\n\n\n|Col1|Col2|Vulnerable Local<br>Communities<br>(Lebanese and PRL)|Lebanese<br>Returnees|Col5|PRS|Col7|Syrian refugees|Col9|\n|---|---|---|---|---|---|---|---|---|\n|||**Vulnerable Local**<br>**Communities**<br>**(Lebanese and PRL)**|**Lebanese**<br>**Returnees**|**Lebanese**<br>**Returnees**|**PRS**|**PRS**|**Registered**|**Unregistered**|\n|**National**|**National**||||||||\n|**North/T+5**|**North/T+5**||||||||\n|**Akkar**|**Akkar*\n\nMention: \"MHPSS 4Ws\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"MHPSS 4Ws reports the spread and concentration of mental-health interventions across Lebanon.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:66:0", "occurrence_id": "04149800efc2cf17a089e528", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nREDD+ Emission Reductions Program of Costa Rica (P160368)\n\n\n**Table 2. Proposed Non-Carbon Benefit Indicators for the ER Program of Costa Rica**\n\n\n\n\n\n\n\n\n\n\n|Non-Carbon<br>Benefit|Proposed indicator|Potential sources of information|Other uses for the indicator|\n|---|---|---|---|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Number of hectares under REDD+ activities<br>in districts with areas of importance for<br>tourism as defined by the Costa Rican<br>Tourism Board (_Instituto Costarricense de_<br>_Turismo_, ICT)|• PES<br>and<br>REDD+<br>projects<br>Registry<br>(FONAFIFO)<br>• Spatial information on ICT demand floors|• Bonn Challenge85 <br>• Landscape Restoration Strategy<br>National Forest Development<br>Plan|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Change in forest cover (hectares) in districts<br>with areas of importance for tourism as<br>defined by the ICT|• Forest cover map (Agresta et al., 2015<br>and/or National Forest Inventory)<br>• Spatial information from ICT|• Bonn Challenge<br>• Landscape Restoration Strategy<br>• National Forest Development<br>Plan|\n|**Biodiversity**<br>**Conservation**|Number of hectares under REDD+ activities<br>in biological corridors|• PES<br>and<br>REDD+<br\n\nMention: \"Spatial information on ICT demand floors\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Tourism-board spatial information identifies areas relevant to tourism indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:66:0", "occurrence_id": "580a2f154f75ff0180b8365f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nREDD+ Emission Reductions Program of Costa Rica (P160368)\n\n\n**Table 2. Proposed Non-Carbon Benefit Indicators for the ER Program of Costa Rica**\n\n\n\n\n\n\n\n\n\n\n|Non-Carbon<br>Benefit|Proposed indicator|Potential sources of information|Other uses for the indicator|\n|---|---|---|---|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Number of hectares under REDD+ activities<br>in districts with areas of importance for<br>tourism as defined by the Costa Rican<br>Tourism Board (_Instituto Costarricense de_<br>_Turismo_, ICT)|• PES<br>and<br>REDD+<br>projects<br>Registry<br>(FONAFIFO)<br>• Spatial information on ICT demand floors|• Bonn Challenge85 <br>• Landscape Restoration Strategy<br>National Forest Development<br>Plan|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Change in forest cover (hectares) in districts<br>with areas of importance for tourism as<br>defined by the ICT|• Forest cover map (Agresta et al., 2015<br>and/or National Forest Inventory)<br>• Spatial information from ICT|• Bonn Challenge<br>• Landscape Restoration Strategy<br>• National Forest Development<br>Plan|\n|**Biodiversity**<br>**Conservation**|Number of hectares under REDD+ activities<br>in biological corridors|• PES<br>and<br>REDD+<br\n\nMention: \"Forest cover map\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Forest-cover map supplies spatial cover information for tourism and conservation indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:66:0", "occurrence_id": "7b8cac36557a994bc83aea23", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nREDD+ Emission Reductions Program of Costa Rica (P160368)\n\n\n**Table 2. Proposed Non-Carbon Benefit Indicators for the ER Program of Costa Rica**\n\n\n\n\n\n\n\n\n\n\n|Non-Carbon<br>Benefit|Proposed indicator|Potential sources of information|Other uses for the indicator|\n|---|---|---|---|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Number of hectares under REDD+ activities<br>in districts with areas of importance for<br>tourism as defined by the Costa Rican<br>Tourism Board (_Instituto Costarricense de_<br>_Turismo_, ICT)|• PES<br>and<br>REDD+<br>projects<br>Registry<br>(FONAFIFO)<br>• Spatial information on ICT demand floors|• Bonn Challenge85 <br>• Landscape Restoration Strategy<br>National Forest Development<br>Plan|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Change in forest cover (hectares) in districts<br>with areas of importance for tourism as<br>defined by the ICT|• Forest cover map (Agresta et al., 2015<br>and/or National Forest Inventory)<br>• Spatial information from ICT|• Bonn Challenge<br>• Landscape Restoration Strategy<br>• National Forest Development<br>Plan|\n|**Biodiversity**<br>**Conservation**|Number of hectares under REDD+ activities<br>in biological corridors|• PES<br>and<br>REDD+<br\n\nMention: \"National Forest Inventory\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National forest inventory supplies spatial forest information for the proposed indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:66:0", "occurrence_id": "447878c66b3ecf7cbda74803", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nREDD+ Emission Reductions Program of Costa Rica (P160368)\n\n\n**Table 2. Proposed Non-Carbon Benefit Indicators for the ER Program of Costa Rica**\n\n\n\n\n\n\n\n\n\n\n|Non-Carbon<br>Benefit|Proposed indicator|Potential sources of information|Other uses for the indicator|\n|---|---|---|---|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Number of hectares under REDD+ activities<br>in districts with areas of importance for<br>tourism as defined by the Costa Rican<br>Tourism Board (_Instituto Costarricense de_<br>_Turismo_, ICT)|• PES<br>and<br>REDD+<br>projects<br>Registry<br>(FONAFIFO)<br>• Spatial information on ICT demand floors|• Bonn Challenge85 <br>• Landscape Restoration Strategy<br>National Forest Development<br>Plan|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Change in forest cover (hectares) in districts<br>with areas of importance for tourism as<br>defined by the ICT|• Forest cover map (Agresta et al., 2015<br>and/or National Forest Inventory)<br>• Spatial information from ICT|• Bonn Challenge<br>• Landscape Restoration Strategy<br>• National Forest Development<br>Plan|\n|**Biodiversity**<br>**Conservation**|Number of hectares under REDD+ activities<br>in biological corridors|• PES<br>and<br>REDD+<br\n\nMention: \"Spatial information from ICT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"ICT spatial information supports tourism-related geographic indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:66:0", "occurrence_id": "0681a14b12f0efea7d6581ab", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nREDD+ Emission Reductions Program of Costa Rica (P160368)\n\n\n**Table 2. Proposed Non-Carbon Benefit Indicators for the ER Program of Costa Rica**\n\n\n\n\n\n\n\n\n\n\n|Non-Carbon<br>Benefit|Proposed indicator|Potential sources of information|Other uses for the indicator|\n|---|---|---|---|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Number of hectares under REDD+ activities<br>in districts with areas of importance for<br>tourism as defined by the Costa Rican<br>Tourism Board (_Instituto Costarricense de_<br>_Turismo_, ICT)|• PES<br>and<br>REDD+<br>projects<br>Registry<br>(FONAFIFO)<br>• Spatial information on ICT demand floors|• Bonn Challenge85 <br>• Landscape Restoration Strategy<br>National Forest Development<br>Plan|\n|**Natural scenic**<br>**beauty for tourism**<br>**purposes**<br>|Change in forest cover (hectares) in districts<br>with areas of importance for tourism as<br>defined by the ICT|• Forest cover map (Agresta et al., 2015<br>and/or National Forest Inventory)<br>• Spatial information from ICT|• Bonn Challenge<br>• Landscape Restoration Strategy<br>• National Forest Development<br>Plan|\n|**Biodiversity**<br>**Conservation**|Number of hectares under REDD+ activities<br>in biological corridors|• PES<br>and<br>REDD+<br\n\nMention: \"FONAFIFO\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"FONAFIFO PES/REDD+ registry provides project locations for forest and carbon indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:29:1", "occurrence_id": "dd54dde75a868f78d21e6b98", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  costs are zero in parts of the ER Program area. Concomitantly, a reasonable\nassumption is that as the ER Program expands and improves the existing PES approach, cost-effectiveness\nwill be achieved, as expanding protected areas is prohibitively costly in financial terms as it would require\ncompensating landholders for the full value of their land upfront. Improving the targeting of the PES\ntowards areas under higher threat of deforestation would also increase the cost-effectiveness of the ER\nProgram, as a greater amount of environmental services would be generated per hectare conserved.\n\n\n**57.** **By supporting and expanding the coverage of the national PES program and by strengthening**\n**the country’s protected areas system and other programs** **managed by SINAC**, the ER Program is likely\nto generate substantial (local, national and global) benefits in terms of improved hydrological services,\nbiodiversity conservation, and carbon sequestration. Earlier efforts to quantify these benefits and the\nproductive values of forests include those reflected in Costa Rica’s forest accounts, which reveal that\nforests contributed to nearly two percent of GDP. <sup>65</sup> This is in sharp contrast to industry figures from\nnational accounts that only consider timber extraction, which alone added just 0.2 percent to GDP in 2011,\nand just half of that amount in 2013. Further expansion of efforts to strengthen the country’s protected\nareas and forest programs will only increase the value of Costa Rica’s forests considering also its potential\nfor tourism <sup>66</sup> (further details on the non-monetary benefits are described in Annex 8).\n\n\n62 Both the TAP’s Assessment of the ER Program and the UNFCCC Technical Assessment of Costa Rica’s FRL are included as\nsupporting documents.\n63 This is because the financing instrument consists of a Carbon Finance Transaction based on commercial terms negotiated\nbetween the FCPF Carbon Fund donors and Costa Rica.\n64 Based\n\nMention: \"forest accounts\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Forest accounts quantify the contribution of forests to GDP beyond timber extraction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:29:1", "occurrence_id": "ebeb1c35df1b68da5ee82b29", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  costs are zero in parts of the ER Program area. Concomitantly, a reasonable\nassumption is that as the ER Program expands and improves the existing PES approach, cost-effectiveness\nwill be achieved, as expanding protected areas is prohibitively costly in financial terms as it would require\ncompensating landholders for the full value of their land upfront. Improving the targeting of the PES\ntowards areas under higher threat of deforestation would also increase the cost-effectiveness of the ER\nProgram, as a greater amount of environmental services would be generated per hectare conserved.\n\n\n**57.** **By supporting and expanding the coverage of the national PES program and by strengthening**\n**the country’s protected areas system and other programs** **managed by SINAC**, the ER Program is likely\nto generate substantial (local, national and global) benefits in terms of improved hydrological services,\nbiodiversity conservation, and carbon sequestration. Earlier efforts to quantify these benefits and the\nproductive values of forests include those reflected in Costa Rica’s forest accounts, which reveal that\nforests contributed to nearly two percent of GDP. <sup>65</sup> This is in sharp contrast to industry figures from\nnational accounts that only consider timber extraction, which alone added just 0.2 percent to GDP in 2011,\nand just half of that amount in 2013. Further expansion of efforts to strengthen the country’s protected\nareas and forest programs will only increase the value of Costa Rica’s forests considering also its potential\nfor tourism <sup>66</sup> (further details on the non-monetary benefits are described in Annex 8).\n\n\n62 Both the TAP’s Assessment of the ER Program and the UNFCCC Technical Assessment of Costa Rica’s FRL are included as\nsupporting documents.\n63 This is because the financing instrument consists of a Carbon Finance Transaction based on commercial terms negotiated\nbetween the FCPF Carbon Fund donors and Costa Rica.\n64 Based\n\nMention: \"industry figures from\nnational accounts\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"National accounts provide the timber-extraction GDP figure contrasted with broader forest value.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:67:1", "occurrence_id": "306053f8f27e9c5371fbe87c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Development<br>Index in areas where REDD+ projects are<br>developed|• Registry of REDD+ (FONAFIFO) projects<br>• Social Development Index (MIDEPLAN)|• National Development Plan<br>• Sustainable Development Goals|\n|<br>**Control of soil loss**<br>**by water erosion**|Number of hectares under REDD+ activities<br>in areas at erosion risk|• PES<br>and<br>REDD+<br>projects<br>registry<br>(FONAFIFO)<br>• Soil erosion Control Map|• SIS<br>• National<br>Climate<br>Change<br>Strategy|\n|<br>**Control of soil loss**<br>**by water erosion**|Change in forest cover (hectares) in areas at<br>risk of soil erosion|• Forest cover map (National Forest<br>Inventory)<br>• Soil erosion Control Map|• SIS<br>• National Development Plan<br>• National<br>Climate<br>Change<br>Strategy|\n|**Potential for**<br>**improving**<br>**governance**<br>|Number of institutions’ staff who are<br>responsible<br>for<br>natural<br>resources<br>management that have received training in<br>REDD+|• Activity reports or information provided<br>directly by FONAFIFO, MAG, SINAC,<br>Institute for Rural Development, and<br>municipalities.|• SIS<br>• National Development Plan<br>• National Forest Development<br>Plan|\n|**Potential for**<br>**improving**<br>\n\nMention: \"Registry of REDD+\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"REDD+ project registry supplies locations used for forest, biodiversity, and erosion-risk indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:67:1", "occurrence_id": "259635fc0432b632292c6def", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Development<br>Index in areas where REDD+ projects are<br>developed|• Registry of REDD+ (FONAFIFO) projects<br>• Social Development Index (MIDEPLAN)|• National Development Plan<br>• Sustainable Development Goals|\n|<br>**Control of soil loss**<br>**by water erosion**|Number of hectares under REDD+ activities<br>in areas at erosion risk|• PES<br>and<br>REDD+<br>projects<br>registry<br>(FONAFIFO)<br>• Soil erosion Control Map|• SIS<br>• National<br>Climate<br>Change<br>Strategy|\n|<br>**Control of soil loss**<br>**by water erosion**|Change in forest cover (hectares) in areas at<br>risk of soil erosion|• Forest cover map (National Forest<br>Inventory)<br>• Soil erosion Control Map|• SIS<br>• National Development Plan<br>• National<br>Climate<br>Change<br>Strategy|\n|**Potential for**<br>**improving**<br>**governance**<br>|Number of institutions’ staff who are<br>responsible<br>for<br>natural<br>resources<br>management that have received training in<br>REDD+|• Activity reports or information provided<br>directly by FONAFIFO, MAG, SINAC,<br>Institute for Rural Development, and<br>municipalities.|• SIS<br>• National Development Plan<br>• National Forest Development<br>Plan|\n|**Potential for**<br>**improving**<br>\n\nMention: \"Forest cover map\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Forest-cover maps support area measurements for land-use change and erosion-risk indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:68:1", "occurrence_id": "1a13fc651b962b1428bfe7ad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the establishment of secondary forests). Once the methodology for monitoring forest\ndegradation is defined, the ER Monitoring Plan will be updated accordingly.\n\n\n**Table 1. Parameters to be Monitored**\n\n\n\n\n\n\n\n\n\n|Parameter:|Hectares of land use change|\n|---|---|\n|<br>**Description:**|<br>Activity data (AD_AAAA-AA_)87 of each category represented in the land use<br>change matrixes “CM AAAA-AA”88of the FRLcarbon accounting tool|\n|**Data unit:**|<br>Hectares|\n|**Source of data or measurement/**<br>**calculation methods and procedures**<br>**to be applied during Term of ERPA:**|• Land-cover maps on a biennial basis for the entire accounting area <br>• Land Use Change Matrixes (“MC AAAA-AA”) every 2 yrs.- FRL tool|\n|**Frequency of monitoring/recording:**|Every two years|\n|**Monitoring equipment:**|Satellite Images (Landsat)|\n|**Quality Assurance/Quality Control**<br>**procedures to be applied:**|According to the protocol described in Agresta_et al._ (2015.a)89|\n|<br>**Identification of sources of**<br>**uncertainty for this parameter:**|Accuracy assessments of the land-cover maps will be performed as was<br>done for the historical time series. The activity data are the largest<br>source of uncertainty in the reference level and will also be so in the<br>monitoring report. However, it will not be possible to reduce the\n\nMention: \"Activity data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Land-use-change activity data quantify hectares converted in each category from land-cover maps and matrixes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000019:68:1", "occurrence_id": "7063d1315b8363466e56a7a6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the establishment of secondary forests). Once the methodology for monitoring forest\ndegradation is defined, the ER Monitoring Plan will be updated accordingly.\n\n\n**Table 1. Parameters to be Monitored**\n\n\n\n\n\n\n\n\n\n|Parameter:|Hectares of land use change|\n|---|---|\n|<br>**Description:**|<br>Activity data (AD_AAAA-AA_)87 of each category represented in the land use<br>change matrixes “CM AAAA-AA”88of the FRLcarbon accounting tool|\n|**Data unit:**|<br>Hectares|\n|**Source of data or measurement/**<br>**calculation methods and procedures**<br>**to be applied during Term of ERPA:**|• Land-cover maps on a biennial basis for the entire accounting area <br>• Land Use Change Matrixes (“MC AAAA-AA”) every 2 yrs.- FRL tool|\n|**Frequency of monitoring/recording:**|Every two years|\n|**Monitoring equipment:**|Satellite Images (Landsat)|\n|**Quality Assurance/Quality Control**<br>**procedures to be applied:**|According to the protocol described in Agresta_et al._ (2015.a)89|\n|<br>**Identification of sources of**<br>**uncertainty for this parameter:**|Accuracy assessments of the land-cover maps will be performed as was<br>done for the historical time series. The activity data are the largest<br>source of uncertainty in the reference level and will also be so in the<br>monitoring report. However, it will not be possible to reduce the\n\nMention: \"activity data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Activity data are the core measurements used to monitor land-cover change and estimate uncertainty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000054:4:2", "occurrence_id": "ff4fe70cb320788f3c7ec878", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .7% (Agriculture Census 2011). Women\ncontribute towards majority of the activities in farm-based livelihoods and barring ploughing, women\ncontribute substantially in all other farm related activities, including sowing, irrigation, using fertilizers,\n\n\nJan 07, 2020 Page 5 of 14\n\nMention: \"Agriculture Census 2011\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Agriculture census data provide context on the agricultural workforce and women’s farm activities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000054:3:0", "occurrence_id": "06d7a9af03d6a84df5d36419", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHimachal Pradesh State Roads Transformation Project (P163328)\n\n\nstatus state due to, inter alia: (i) mountainous terrain; (ii) low population density; (iii) sizable tribal\npopulation; (iv) strategic location bordering neighboring countries; (v) economic and infrastructure\nbackwardness; and (vi) non-viable nature of the state finance. Hence, the State receives significant\nfinancial support from the central government and development partners. In 2017-18 <sup>1</sup> [^1: Economic Survey of Himachal Pradesh, 2016-17, Economics and Statistics Department], the State Gross\nDomestic Product at current factor cost was estimated at INR1,67,730 crore (equivalent of US$23.96\nbillion).\nSectoral and Institutional Context\n\n\n4. **HP has high potential to produce strategic horticultural and eco-tourism value chains, which**\n**could support the State’s green growth vision, if its transport infrastructure and logistics system are**\n**well developed.** HP has a land size of 55,673 km2 and a population of about 7 million of which about 90\npercent lives in rural areas. About 80 percent of the State is mountainous of which 30 percent is covered\nwith forest. The Himalayan mountains and valleys are covered with the state record (SoER, HP) of 3,295\nspecies of plants and 5,721 species of fauna, and magnificent natural scenery, including the Rohtang Pass.\nAgriculture/horticulture is the main stay of HP’s economy as it provides employment to about 62 percent\nof the total workers in the state, mainly small holding farmers. Given the high potential for horticultural\ndevelopment, GoHP with the support of the World Bank has launched the Horticultural Development\nProject (HPHDP), inter alia expected to quadruple the production of apple, which is currently a US$1 billion\neconomy. The ‘Himachal Pradesh Industrial Investment Policy 2019’ is attempting to create an enabling\nenvironment\n\nMention: \"Economic Survey of Himachal Pradesh\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"State Economic Survey supplies the GDP estimate used to contextualize infrastructure, agriculture, and employment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000056:13:2", "occurrence_id": "a8ab236aa3f758fee030d768", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Low**\n\n\n17 Stéphane Hallegatte, Mook Bangalore, Laura Bonzanigo, Marianne Fay, Tamaro Kane, Ulf Narloch, Julie Rozenberg, David\nTreguer, and Adrien Vogt-Schilb. 2016. \"Shock Waves: Managing the Impacts of Climate Change on Poverty.\" Washington, DC:\nWorld Bank.\n18 Data from World Bank World Development Indicators:\nhttps://data.worldbank.org/indicator/NY.GDP.FRST.RT.ZS?end=2018&locations=CG&start=2000.\n19 Observatory of Economic Complexity: _[https://oec.world/en/profile/country/cog?depthSelector1=HS2Depth](https://oec.world/en/profile/country/cog?depthSelector1=HS2Depth)_\nThe two largest export categories in 2018 were particularly a) Mineral fuels, mineral oils and products of their distillation and b)\nCopper and copper products.\n\n\nPage 9 of 65\n\n\nOfficial Use\n\nMention: \"Data from World Bank World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Development Indicators supply forest-rent share-of-GDP data used in the country analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000056:16:0", "occurrence_id": "01a51ea848b6555b32974b2e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCONGO - Emission Reductions Program in Sangha and Likouala (P163361)\n\n\nas beneficiaries of the carbon credits. In community forests generating carbon credits, ownership belongs\nto the indigenous people and local communities (IPLCs) in the area concerned.\n\n\n**The resoluteness with which Congo approaches sustainable forest management can be seen in**\n**its participation in multilateral forest governance initiatives.** The country has 3.15 million ha of forest\narea certified by the Forest Stewardship Council (FSC) according to the Ministry of Forest Economy\n( _Ministère de l'Economie Forestière_, MEF), <sup>22</sup> [^22: The figure is based on the surface data of the Management Plans for the forestry concessions of Pokola, Kabo, Ngombé,\nLoundoungou-Toukoulaka, and Mimbelli-Ibenga.] comprising the largest certified area on the continent. In\n2011, the Government signed the VPA with the EU to ensure the legality of its timber. Preparations for\nimplementing the agreement are ongoing and include recent implementation of the SIVL.\n\n\n**Congo has assiduously pursued its REDD+ program.** Since 2008, Congo has demonstrated its\ncommitment to a low-carbon development agenda, including in the land use sector, by pursuing reduced\ndeforestation, reduced forest degradation, and enhancement of forest carbon stocks (REDD+). It\nsubmitted its Emission Reductions Program Idea Note (ER-PIN) in 2012. In September 2015, Congo\nsubmitted its Intended Nationally Determined Contribution (INDC) to the UNFCCC, presenting forests and\nREDD+ as the country’s main contribution to global mitigation efforts. The Government validated its final\nNational REDD+ Strategy in October 2016, setting out the strategic options for achieving its vision of\npursuing low-carbon development pathways. The Emission Reductions Program in Sangha and Likouala\n(ERP-SL) is fully in line with this strategy. In June 2017, the Forest Carbon Partnership Facility (FCPF) Carbon\nFund Participants (CFPs) conditionally approved the Emission Reductions Program Document (ERPD\n\nMention: \"surface data of the Management Plans\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Management-plan surface data provide area estimates for forest concessions used in certification reporting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000056:37:1", "occurrence_id": "36975da3b5e74c143093a67c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , 10.3, 18.2, and 21.1), and nine were to be assessed at a later point.\n\n\n**The ERP's MRV system is robust and in line with good practices as confirmed by an independent**\n**technical assessment.** It uses the same methods for quantifying emissions as the REL to produce fully\nconsistent results as a basis for measuring ERs. Areas of deforestation and forest degradation will be\nestimated through a stratified sampling approach with visual interpretation by experts of a representative\nnumber of sampling units located within different strata. The visual interpretation will be done using the\nsame protocols that were used for the REL. The forest cover change reference condition for each sampling\nunit will be manually interpreted using a combination of medium resolution (for example, Landsat 7 and\n8), high resolution (for example, Sentinel 2), and very high-resolution imagery (for example, World View,\nSPOT 6 and 7, or PLANET). The stratification will be based on forest cover change maps produced by the\nCNIAF’s MRV team with a semi-automatized tool that is currently being designed. To quantify the annual\nGHG emissions in the monitoring period, areas of deforestation will be estimated and the same emission\nfactors used as for the REL. The estimated GHG emissions will be subtracted from the REL to determine\nthe ERs. Uncertainty of ERs will be quantified at a 90 percent confidence level using Monte Carlo methods\nas required by the FCPF Methodological Framework (Indicator 9.1). Based on the estimation of uncertainty\nand the risk defined in line with the FCPF Carbon Fund Buffer Guidelines, the MRV team will estimate (a)\n\n\n44 Under the PFDE, documentation of land rights consists of obtaining an authorization to cultivate from customary land chiefs.\nHowever, some villages do not have land chiefs, making it necessary to obtain a Government-certified document to respect the\nprovisions on customary land rights in Law\n\nMention: \"forest cover change maps\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Forest-cover-change maps support monitoring and calculation of deforestation-related emissions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000093:12:0", "occurrence_id": "0e25f50fd93e492148c807f7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLand Tenure Improvement Project (P164906)\n\n\npandemic increasingly limited women’s access to formal employment. <sup>7</sup> [^7: Tanzania Economic Update. Issue 15. February 2021.] Interventions in three main areas could\nnarrow the gender earnings gap: (1) reduce the time women spend in unpaid work and redistribute care\nresponsibilities so that they can spend more time in the labor market; (2) give women more access to and control\nof productive assets; and (3) address market and institutional failures.\n\n\n5. **Increasing urbanization continues to have an impact on urban development and heightens the need to**\n**ensure sustainable urban living conditions** . Tanzania’s population of 59.4 million is growing at about 2.8 percent\nper year and is expected to reach 82.5 million by 2035 <sup>8</sup> [^8: National Population Projection Data, Republic of Tanzania National Bureau of Statistics (www.nbs.go.tz)] . About a third of the population lives in urban areas and\nat current rates it is estimated that half of the population will be living in urban areas by 2050, driven primarily\nby population growth and rural to urban migration. The response to this growth in population is not being\nmatched by urban service delivery and informality is a key issue, as for example around 70 percent of Dar es\nSalaam’s residents live in informal settlements.\n\n6. **Land rights are key for the economic recovery and building resilience to limit Tanzania’s vulnerability to**\n**COVID-19 and future disasters** . The investments under the proposed Project position the country to protect the\npoor’s most valuable assets (land and property). In addition, access to geo-spatial data sets that could be overlaid\nwith various demographic and poverty data would be useful for organizing a targeted economic response.\nSecuritization of land rights and improvement of land management systems\n\nMention: \"National Population Projection Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Population projections inform urbanization and service-planning context through 2035 and 2050.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000093:12:0", "occurrence_id": "42b424a8ba7af26ae91be836", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLand Tenure Improvement Project (P164906)\n\n\npandemic increasingly limited women’s access to formal employment. <sup>7</sup> [^7: Tanzania Economic Update. Issue 15. February 2021.] Interventions in three main areas could\nnarrow the gender earnings gap: (1) reduce the time women spend in unpaid work and redistribute care\nresponsibilities so that they can spend more time in the labor market; (2) give women more access to and control\nof productive assets; and (3) address market and institutional failures.\n\n\n5. **Increasing urbanization continues to have an impact on urban development and heightens the need to**\n**ensure sustainable urban living conditions** . Tanzania’s population of 59.4 million is growing at about 2.8 percent\nper year and is expected to reach 82.5 million by 2035 <sup>8</sup> [^8: National Population Projection Data, Republic of Tanzania National Bureau of Statistics (www.nbs.go.tz)] . About a third of the population lives in urban areas and\nat current rates it is estimated that half of the population will be living in urban areas by 2050, driven primarily\nby population growth and rural to urban migration. The response to this growth in population is not being\nmatched by urban service delivery and informality is a key issue, as for example around 70 percent of Dar es\nSalaam’s residents live in informal settlements.\n\n6. **Land rights are key for the economic recovery and building resilience to limit Tanzania’s vulnerability to**\n**COVID-19 and future disasters** . The investments under the proposed Project position the country to protect the\npoor’s most valuable assets (land and property). In addition, access to geo-spatial data sets that could be overlaid\nwith various demographic and poverty data would be useful for organizing a targeted economic response.\nSecuritization of land rights and improvement of land management systems\n\nMention: \"geo-spatial data sets\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Geospatial data sets can be overlaid with demographic and poverty data to target response.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000093:12:0", "occurrence_id": "88dacf6b0ede87e11c5d77f1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLand Tenure Improvement Project (P164906)\n\n\npandemic increasingly limited women’s access to formal employment. <sup>7</sup> [^7: Tanzania Economic Update. Issue 15. February 2021.] Interventions in three main areas could\nnarrow the gender earnings gap: (1) reduce the time women spend in unpaid work and redistribute care\nresponsibilities so that they can spend more time in the labor market; (2) give women more access to and control\nof productive assets; and (3) address market and institutional failures.\n\n\n5. **Increasing urbanization continues to have an impact on urban development and heightens the need to**\n**ensure sustainable urban living conditions** . Tanzania’s population of 59.4 million is growing at about 2.8 percent\nper year and is expected to reach 82.5 million by 2035 <sup>8</sup> [^8: National Population Projection Data, Republic of Tanzania National Bureau of Statistics (www.nbs.go.tz)] . About a third of the population lives in urban areas and\nat current rates it is estimated that half of the population will be living in urban areas by 2050, driven primarily\nby population growth and rural to urban migration. The response to this growth in population is not being\nmatched by urban service delivery and informality is a key issue, as for example around 70 percent of Dar es\nSalaam’s residents live in informal settlements.\n\n6. **Land rights are key for the economic recovery and building resilience to limit Tanzania’s vulnerability to**\n**COVID-19 and future disasters** . The investments under the proposed Project position the country to protect the\npoor’s most valuable assets (land and property). In addition, access to geo-spatial data sets that could be overlaid\nwith various demographic and poverty data would be useful for organizing a targeted economic response.\nSecuritization of land rights and improvement of land management systems\n\nMention: \"demographic and poverty data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Demographic and poverty data are proposed as overlays for a targeted economic response.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000093:12:0", "occurrence_id": "dc469653b82ded3c48474b4e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLand Tenure Improvement Project (P164906)\n\n\npandemic increasingly limited women’s access to formal employment. <sup>7</sup> [^7: Tanzania Economic Update. Issue 15. February 2021.] Interventions in three main areas could\nnarrow the gender earnings gap: (1) reduce the time women spend in unpaid work and redistribute care\nresponsibilities so that they can spend more time in the labor market; (2) give women more access to and control\nof productive assets; and (3) address market and institutional failures.\n\n\n5. **Increasing urbanization continues to have an impact on urban development and heightens the need to**\n**ensure sustainable urban living conditions** . Tanzania’s population of 59.4 million is growing at about 2.8 percent\nper year and is expected to reach 82.5 million by 2035 <sup>8</sup> [^8: National Population Projection Data, Republic of Tanzania National Bureau of Statistics (www.nbs.go.tz)] . About a third of the population lives in urban areas and\nat current rates it is estimated that half of the population will be living in urban areas by 2050, driven primarily\nby population growth and rural to urban migration. The response to this growth in population is not being\nmatched by urban service delivery and informality is a key issue, as for example around 70 percent of Dar es\nSalaam’s residents live in informal settlements.\n\n6. **Land rights are key for the economic recovery and building resilience to limit Tanzania’s vulnerability to**\n**COVID-19 and future disasters** . The investments under the proposed Project position the country to protect the\npoor’s most valuable assets (land and property). In addition, access to geo-spatial data sets that could be overlaid\nwith various demographic and poverty data would be useful for organizing a targeted economic response.\nSecuritization of land rights and improvement of land management systems\n\nMention: \"Tanzania Economic Update\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Tanzania Economic Update provides cited context on women’s earnings, unpaid work, and labor-market participation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000093:23:1", "occurrence_id": "de967925a112b321a4672233", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  councils, is\nalso expected to result in increased awareness on women’s land rights with direct consequences for their access\nto land and land related decision-making.\n\n50. **Strengthening of land institutions and establishing a functioning land administration system improves**\n**the business environment.** Increased capacities in the land sector, and better access to land information as well\nas land administration services will improve the business environment. Streamlined procedures, digitization of\nland administration processes and data, as well as the reduction of time and costs for acquiring land related\nservices will result in a better quality of public land administration services. The establishment of an ILMIS web\nportal and an NSDI geoportal will allow better access to land related data, contributing to access to information\nand more transparency. All of which should ultimately benefit the overall business environment. Revenues\ngenerated based on improved land records and more reliable data will be used to maintain the land\nadministration system, the underlying prerequisite for an improved business environment. The following graph\nvisualizes the Theory of Change that contains the key activities, outputs, and outcomes, which will contribute to\nachieving the PDO.\n\n\n37 See for example: Deininger, K., Ayalew Ali, D. and Alemu, T. (2008) Impacts of land certification on tenure security, investment,\nand land markets: Evidence from Ethiopia. Washington, D.C.: World Bank Policy Research Working Paper 4764\n\n\nPage 19 of 60\n\nMention: \"land records\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Land records and digitized administration underpin land-tenure services and spatial planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000101:5:0", "occurrence_id": "be2833a5361533074f5baebd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPhilippines Health Financing Strengthening\n\n\nundermined attempts to improve financial protection. Another private source is private insurance such as\nHMOs, who currently account for around 12 percent of health sector funding.\n\n\n**POOLING**\n\n\n**In 2011, the national government started fully subsidizing the PhilHealth premiums of the poor identified**\n**through a national targeting system called National Household Targeting System for Poverty Reduction**\n**(NHTS-PR or** **_Listahanan_** **), implemented by the Department of Social Welfare and Development.** This move\nhelped end the previous highly politicized, discretionary, and unpredictable practice of LGU-sponsored\nidentification and enrolment of the poor. This move was aided by increases and earmarked revenues from\ntobacco and alcohol excises from 2012, which enabled subsidizing 14.7 million poor and near-poor families or\nthe poorest 40 percent of the population, increasing PhilHealth coverage to 91 percent by 2016 according to\nadministrative records.\n\n\n**PhilHealth is covering nearly all population (91 percent by end of 2016) ensuring them reimbursements for**\n**some type of health services amongst indigents and other vulnerable groups are given priority.** Many of\ncovered people are contributing members and their dependents including those in the formal sector\nprogram (employed in the government, formal private sector, household help, enterprise owners and\nhousehold drivers), informal sector (migrant workers, informal sector, self-earning individuals, organized\ngroups) together accounting for 43 percent of members and 40 percent of beneficiaries (members plus\ndependents). About 53 million people benefit from free health insurance through the indigent and senior\ncitizens programs financed by the national government.\n\n\n**There is a persistent gap between the health insurance coverage rates obtained from national**\n**administrative databases and the health insurance coverage rates reported in household surveys such as**\n**the National Demographic and Household Survey** .\n\nMention: \"administrative records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Administrative records provide health-insurance enrollment and coverage figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000101:5:0", "occurrence_id": "55883183756a0524629f9d51", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPhilippines Health Financing Strengthening\n\n\nundermined attempts to improve financial protection. Another private source is private insurance such as\nHMOs, who currently account for around 12 percent of health sector funding.\n\n\n**POOLING**\n\n\n**In 2011, the national government started fully subsidizing the PhilHealth premiums of the poor identified**\n**through a national targeting system called National Household Targeting System for Poverty Reduction**\n**(NHTS-PR or** **_Listahanan_** **), implemented by the Department of Social Welfare and Development.** This move\nhelped end the previous highly politicized, discretionary, and unpredictable practice of LGU-sponsored\nidentification and enrolment of the poor. This move was aided by increases and earmarked revenues from\ntobacco and alcohol excises from 2012, which enabled subsidizing 14.7 million poor and near-poor families or\nthe poorest 40 percent of the population, increasing PhilHealth coverage to 91 percent by 2016 according to\nadministrative records.\n\n\n**PhilHealth is covering nearly all population (91 percent by end of 2016) ensuring them reimbursements for**\n**some type of health services amongst indigents and other vulnerable groups are given priority.** Many of\ncovered people are contributing members and their dependents including those in the formal sector\nprogram (employed in the government, formal private sector, household help, enterprise owners and\nhousehold drivers), informal sector (migrant workers, informal sector, self-earning individuals, organized\ngroups) together accounting for 43 percent of members and 40 percent of beneficiaries (members plus\ndependents). About 53 million people benefit from free health insurance through the indigent and senior\ncitizens programs financed by the national government.\n\n\n**There is a persistent gap between the health insurance coverage rates obtained from national**\n**administrative databases and the health insurance coverage rates reported in household surveys such as**\n**the National Demographic and Household Survey** .\n\nMention: \"administrative databases\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Administrative databases are compared with household surveys to assess discrepancies in reported coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000101:5:0", "occurrence_id": "bb6fd595dbc92f9dccdce724", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPhilippines Health Financing Strengthening\n\n\nundermined attempts to improve financial protection. Another private source is private insurance such as\nHMOs, who currently account for around 12 percent of health sector funding.\n\n\n**POOLING**\n\n\n**In 2011, the national government started fully subsidizing the PhilHealth premiums of the poor identified**\n**through a national targeting system called National Household Targeting System for Poverty Reduction**\n**(NHTS-PR or** **_Listahanan_** **), implemented by the Department of Social Welfare and Development.** This move\nhelped end the previous highly politicized, discretionary, and unpredictable practice of LGU-sponsored\nidentification and enrolment of the poor. This move was aided by increases and earmarked revenues from\ntobacco and alcohol excises from 2012, which enabled subsidizing 14.7 million poor and near-poor families or\nthe poorest 40 percent of the population, increasing PhilHealth coverage to 91 percent by 2016 according to\nadministrative records.\n\n\n**PhilHealth is covering nearly all population (91 percent by end of 2016) ensuring them reimbursements for**\n**some type of health services amongst indigents and other vulnerable groups are given priority.** Many of\ncovered people are contributing members and their dependents including those in the formal sector\nprogram (employed in the government, formal private sector, household help, enterprise owners and\nhousehold drivers), informal sector (migrant workers, informal sector, self-earning individuals, organized\ngroups) together accounting for 43 percent of members and 40 percent of beneficiaries (members plus\ndependents). About 53 million people benefit from free health insurance through the indigent and senior\ncitizens programs financed by the national government.\n\n\n**There is a persistent gap between the health insurance coverage rates obtained from national**\n**administrative databases and the health insurance coverage rates reported in household surveys such as**\n**the National Demographic and Household Survey** .\n\nMention: \"National Demographic and Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"National household survey provides comparison estimates of health-insurance coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000127:15:1", "occurrence_id": "76744a8c6e7bb9a14c9c1813", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  subcomponent is to develop the\ninstitutional capacity at the appropriate levels of government to promote Social Forestry Program activities consistent\nwith the proposed project objectives. It will allow for the sustainable management of forestry resources by the users\nwhile providing income generating opportunities. Key activities include:\n\n\n(i) Social Forestry Task Force: Consistent with Ministerial Decree #83, each provincial governor is to\nestablish a multistakeholder Task Force to promote and implement social forestry schemes in provinces\nall over Indonesia. The proposed project would provide incremental support to ensure that the Task\nForce, including a secretariat, is functional and operating effectively.\n\n(ii) Grievance and conflict resolution mechanisms: To ensure conflicts and grievances are addressed\nexpeditiously and are consistent with government laws and regulations, the proposed project would\nprovide incremental resources including development of skills and strengthening capacity at all levels.\nIn particular, the project will support the Social Forestry Task Force and MoEF Conflict Units in five\nregions. The project will also support the MoEF in compiling information and create an inventory of\nland claims inside forest areas, particularly in the SSF project sites as part of strengthening MoEF’s\nIndicative Map of Social Forestry Area ( _Peta Indikatif dan Area Perhutanan Sosial_, PIAPS) and the Social\nForestry Navigating System (SINAV) (see Subcomponent 1.3).\n\n(iii) Support the establishment of village associations ( _lembaga desa_ ) and farmers groups, which are a\ncritical element in the GOI’s various social forestry schemes. An association or group could be\nestablished with a minimum of 50 villagers or farmers on 1,000 ha (village association) or 200 ha\n(farmers group). Both should be registered with the village head. Each association or group will propose\nactivities to be carried out in an agreed area, with different land use zones identified. The registration\nprocess will include roles and responsibilities of the association or group, names of the members and\ntheir\n\nMention: \"inventory of\nland claims\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Land-claim inventory supports conflict resolution and strengthening the social-forestry information system.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000127:15:1", "occurrence_id": "9f04cbfab190a9ad94c6b11e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  subcomponent is to develop the\ninstitutional capacity at the appropriate levels of government to promote Social Forestry Program activities consistent\nwith the proposed project objectives. It will allow for the sustainable management of forestry resources by the users\nwhile providing income generating opportunities. Key activities include:\n\n\n(i) Social Forestry Task Force: Consistent with Ministerial Decree #83, each provincial governor is to\nestablish a multistakeholder Task Force to promote and implement social forestry schemes in provinces\nall over Indonesia. The proposed project would provide incremental support to ensure that the Task\nForce, including a secretariat, is functional and operating effectively.\n\n(ii) Grievance and conflict resolution mechanisms: To ensure conflicts and grievances are addressed\nexpeditiously and are consistent with government laws and regulations, the proposed project would\nprovide incremental resources including development of skills and strengthening capacity at all levels.\nIn particular, the project will support the Social Forestry Task Force and MoEF Conflict Units in five\nregions. The project will also support the MoEF in compiling information and create an inventory of\nland claims inside forest areas, particularly in the SSF project sites as part of strengthening MoEF’s\nIndicative Map of Social Forestry Area ( _Peta Indikatif dan Area Perhutanan Sosial_, PIAPS) and the Social\nForestry Navigating System (SINAV) (see Subcomponent 1.3).\n\n(iii) Support the establishment of village associations ( _lembaga desa_ ) and farmers groups, which are a\ncritical element in the GOI’s various social forestry schemes. An association or group could be\nestablished with a minimum of 50 villagers or farmers on 1,000 ha (village association) or 200 ha\n(farmers group). Both should be registered with the village head. Each association or group will propose\nactivities to be carried out in an agreed area, with different land use zones identified. The registration\nprocess will include roles and responsibilities of the association or group, names of the members and\ntheir\n\nMention: \"Indicative Map of Social Forestry Area\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Indicative map defines social-forestry areas and land-use zones.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000127:15:1", "occurrence_id": "5a2d49f936239a804db4c0b4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  subcomponent is to develop the\ninstitutional capacity at the appropriate levels of government to promote Social Forestry Program activities consistent\nwith the proposed project objectives. It will allow for the sustainable management of forestry resources by the users\nwhile providing income generating opportunities. Key activities include:\n\n\n(i) Social Forestry Task Force: Consistent with Ministerial Decree #83, each provincial governor is to\nestablish a multistakeholder Task Force to promote and implement social forestry schemes in provinces\nall over Indonesia. The proposed project would provide incremental support to ensure that the Task\nForce, including a secretariat, is functional and operating effectively.\n\n(ii) Grievance and conflict resolution mechanisms: To ensure conflicts and grievances are addressed\nexpeditiously and are consistent with government laws and regulations, the proposed project would\nprovide incremental resources including development of skills and strengthening capacity at all levels.\nIn particular, the project will support the Social Forestry Task Force and MoEF Conflict Units in five\nregions. The project will also support the MoEF in compiling information and create an inventory of\nland claims inside forest areas, particularly in the SSF project sites as part of strengthening MoEF’s\nIndicative Map of Social Forestry Area ( _Peta Indikatif dan Area Perhutanan Sosial_, PIAPS) and the Social\nForestry Navigating System (SINAV) (see Subcomponent 1.3).\n\n(iii) Support the establishment of village associations ( _lembaga desa_ ) and farmers groups, which are a\ncritical element in the GOI’s various social forestry schemes. An association or group could be\nestablished with a minimum of 50 villagers or farmers on 1,000 ha (village association) or 200 ha\n(farmers group). Both should be registered with the village head. Each association or group will propose\nactivities to be carried out in an agreed area, with different land use zones identified. The registration\nprocess will include roles and responsibilities of the association or group, names of the members and\ntheir\n\nMention: \"Peta Indikatif dan Area Perhutanan Sosial\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Peta Indikatif dan Area Perhutanan Sosial is the Indonesian title for the indicative social-forestry map.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000127:15:1", "occurrence_id": "2e7526c1298654be50955161", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  subcomponent is to develop the\ninstitutional capacity at the appropriate levels of government to promote Social Forestry Program activities consistent\nwith the proposed project objectives. It will allow for the sustainable management of forestry resources by the users\nwhile providing income generating opportunities. Key activities include:\n\n\n(i) Social Forestry Task Force: Consistent with Ministerial Decree #83, each provincial governor is to\nestablish a multistakeholder Task Force to promote and implement social forestry schemes in provinces\nall over Indonesia. The proposed project would provide incremental support to ensure that the Task\nForce, including a secretariat, is functional and operating effectively.\n\n(ii) Grievance and conflict resolution mechanisms: To ensure conflicts and grievances are addressed\nexpeditiously and are consistent with government laws and regulations, the proposed project would\nprovide incremental resources including development of skills and strengthening capacity at all levels.\nIn particular, the project will support the Social Forestry Task Force and MoEF Conflict Units in five\nregions. The project will also support the MoEF in compiling information and create an inventory of\nland claims inside forest areas, particularly in the SSF project sites as part of strengthening MoEF’s\nIndicative Map of Social Forestry Area ( _Peta Indikatif dan Area Perhutanan Sosial_, PIAPS) and the Social\nForestry Navigating System (SINAV) (see Subcomponent 1.3).\n\n(iii) Support the establishment of village associations ( _lembaga desa_ ) and farmers groups, which are a\ncritical element in the GOI’s various social forestry schemes. An association or group could be\nestablished with a minimum of 50 villagers or farmers on 1,000 ha (village association) or 200 ha\n(farmers group). Both should be registered with the village head. Each association or group will propose\nactivities to be carried out in an agreed area, with different land use zones identified. The registration\nprocess will include roles and responsibilities of the association or group, names of the members and\ntheir\n\nMention: \"Social\nForestry Navigating System\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Social Forestry Navigating System is strengthened as the repository for social-forestry area and land-claim information.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000101:9:1", "occurrence_id": "c2202286b0d7d1a5a3626549", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . On service coverage - demographic health survey (DHS) is currently conducted every 5 years. For\nsampling, the population is represented at the regional but not province (or district level). There is ongoing\ndiscussion if the population representation can be at the province level. As administrative data remains\nweak, and to compliment, these surveys have been key to monitoring financial protection and health outputs\nand outcomes in the country.\n\n\n**Weak analytical capacity of PhilHealth** is one of the key obstacles. This limits DOH and Philhealth’s ability to\nimprove their monitoring and oversight functions (a) to prevent potential manipulations, and (b) to adjust\ntheir contracting and payment arrangements to better manage undesired incentives. Moreover, **quality of**\n**collected data** is poor which is the result of non-existing coding standards and protocols and weak control\nmechanisms over data quality. Putting systematic efforts into improving quality of data is critical to move\nforward with, for example, DRG implementation.\n\n\nUnderlying cause of low quality data collection is the **fragmentation of both business processes and**\n**operational information systems supporting them** . Systems that manage the qualification and collection are\nseparated and a lot of processes are manual. External systems that can allow automatic and reliable receiving\nof personal, income, property and other data are not connected. Existing electronic claims data collection is\nsemi-manual resulting in low quality data sets. One of the obstacles is also lack of formal specifications of\nminimal reporting data sets (minimal content of data sets, minimal set of data definition standards and data\nexchange protocols/standards) to establish standardized data collection.\n\n\nDec 21, 2017 Page 10 of 16\n\nMention: \"demographic health survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Demographic health survey provides regional population-health data to complement weak administrative records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000127:2:1", "occurrence_id": "89187106553d5e81d4f7cba2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nrespectively, and on renewable commodities, including timber and agricultural products.\n\n\n2. Indeed, agriculture and forestry contribute significantly to Indonesia’s economic growth; however, a large\npercentage of the population dependent on these sectors remains poorer than the national average. Agriculture and\nforestry together account for 34 percent of the country’s GDP. <sup>3</sup> Thirty-three percent of the labor force depends\npredominantly or exclusively on agriculture, forestry, hunting, or fishing, and many others depend on related\ndownstream activities. <sup>4</sup> However, the people depending on forests and rural lands for agricultural livelihoods are\ndisproportionally poorer than the national average and include many _adat_ communities. <sup>5</sup> According to 2014 government\ndata, <sup>6</sup> poverty in and around forest areas is estimated at 16.15 percent (or 5.6 million poor people out of a population of\n\n\n1 World Bank 2018a.\n2 World Bank 2018b.\n3 GDP breakdown by sector is as follows: agriculture represents 34 percent, forestry and logging 0.19 percent, and mining and quarrying\n9.8 percent.\n4 Badan Pusat Statistik (BPS).\n5 The term adat communities is often used to describe indigenous and other groups practicing communal or customary tenure.\n6 Data are from the National Social and Economic Survey (Survei Sosial Ekonomi Nasional, SUSENA) and Village Census (Pendataan Potensi\n\n\nSeptember 20, 2019 Page 3 of 32\n\nMention: \"National Social and Economic Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National socioeconomic survey contributes household-poverty data for forest-area estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000127:2:1", "occurrence_id": "916746c2d2221eabd3337c79", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nrespectively, and on renewable commodities, including timber and agricultural products.\n\n\n2. Indeed, agriculture and forestry contribute significantly to Indonesia’s economic growth; however, a large\npercentage of the population dependent on these sectors remains poorer than the national average. Agriculture and\nforestry together account for 34 percent of the country’s GDP. <sup>3</sup> Thirty-three percent of the labor force depends\npredominantly or exclusively on agriculture, forestry, hunting, or fishing, and many others depend on related\ndownstream activities. <sup>4</sup> However, the people depending on forests and rural lands for agricultural livelihoods are\ndisproportionally poorer than the national average and include many _adat_ communities. <sup>5</sup> According to 2014 government\ndata, <sup>6</sup> poverty in and around forest areas is estimated at 16.15 percent (or 5.6 million poor people out of a population of\n\n\n1 World Bank 2018a.\n2 World Bank 2018b.\n3 GDP breakdown by sector is as follows: agriculture represents 34 percent, forestry and logging 0.19 percent, and mining and quarrying\n9.8 percent.\n4 Badan Pusat Statistik (BPS).\n5 The term adat communities is often used to describe indigenous and other groups practicing communal or customary tenure.\n6 Data are from the National Social and Economic Survey (Survei Sosial Ekonomi Nasional, SUSENA) and Village Census (Pendataan Potensi\n\n\nSeptember 20, 2019 Page 3 of 32\n\nMention: \"Village Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Village Census data complement household-survey inputs to estimate poverty in forest areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000137:11:1", "occurrence_id": "99dd07826148b9e90a7f86ac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: up>\n\n\n6. **The lack of shared prosperity is detrimental to Congo’s human capital.** The World Bank Group’s Human\nCapital Project and its associated Human Capital Index show that a child born in Congo today will be 42 percent\nas productive as s/he would have been if s/he enjoyed complete education and full health in early years. By way\nof comparison, this figure is above the Sub-Saharan Africa average of 40 but below the Lower-Middle-Income\nCountry average of 48. Additionally, 21 out of 100 Congolese children are stunted and therefore at greater risk of\ncognitive delays and lifelong limitations in skills acquisition and employability. Stunting rates are higher in rural\nareas than urban ones, underlining Congo’s deep spatial inequality. <sup>6</sup> [^6: World Bank. 2019. _Country Partnership Framework (CPF) for the Republic of Congo for the Period FY20–FY24, Report No. 126962-CG_ .\nWorld Bank: Washington, DC.]\n\n\n7. **Congo ranks 138 out of 177 countries on the United Nations Development Programme Gender**\n**Inequality Index,** <sup>**7**</sup> [^7: The Gender Inequality Index’s reproductive health index is based on two indicators: the maternal mortality ratio and the adolescent\nfertility rate. The empowerment index is based on the share of parliamentary seats held by women and women’s attainment in\nsecondary education and above. The labor market participation dimension accounts for paid work, unpaid work, and actively looking for\n[work. See http://hdr.undp.org/en/content/table-5-gender-inequality-index-gii.](http://hdr.undp.org/en/content/table-5-gender-inequality-index-gii)] **a metric which measures reproductive health, empowerment, and labor market**\n**participation.** Women earn less than men and are more likely to be self-employed, with a clear gender gap in\naccess to services and\n\nMention: \"Human\nCapital Project\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"World Bank Human Capital Project and index provide comparative context on child productivity, health, and education.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000137:11:1", "occurrence_id": "75ad7305265907f771aa74cc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: up>\n\n\n6. **The lack of shared prosperity is detrimental to Congo’s human capital.** The World Bank Group’s Human\nCapital Project and its associated Human Capital Index show that a child born in Congo today will be 42 percent\nas productive as s/he would have been if s/he enjoyed complete education and full health in early years. By way\nof comparison, this figure is above the Sub-Saharan Africa average of 40 but below the Lower-Middle-Income\nCountry average of 48. Additionally, 21 out of 100 Congolese children are stunted and therefore at greater risk of\ncognitive delays and lifelong limitations in skills acquisition and employability. Stunting rates are higher in rural\nareas than urban ones, underlining Congo’s deep spatial inequality. <sup>6</sup> [^6: World Bank. 2019. _Country Partnership Framework (CPF) for the Republic of Congo for the Period FY20–FY24, Report No. 126962-CG_ .\nWorld Bank: Washington, DC.]\n\n\n7. **Congo ranks 138 out of 177 countries on the United Nations Development Programme Gender**\n**Inequality Index,** <sup>**7**</sup> [^7: The Gender Inequality Index’s reproductive health index is based on two indicators: the maternal mortality ratio and the adolescent\nfertility rate. The empowerment index is based on the share of parliamentary seats held by women and women’s attainment in\nsecondary education and above. The labor market participation dimension accounts for paid work, unpaid work, and actively looking for\n[work. See http://hdr.undp.org/en/content/table-5-gender-inequality-index-gii.](http://hdr.undp.org/en/content/table-5-gender-inequality-index-gii)] **a metric which measures reproductive health, empowerment, and labor market**\n**participation.** Women earn less than men and are more likely to be self-employed, with a clear gender gap in\naccess to services and\n\nMention: \"Human Capital Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Human Capital Index compares expected child productivity with full-health and full-education benchmarks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000137:61:1", "occurrence_id": "238af5a1b624580ea38988cf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>etc.)<br>|\n|Women satisfied|<br>Positive responses from<br>beneficiaries identifying as<br>women<br>||||<br>|<br>|\n|Indigenous people satisfied|<br>Positive responses from<br>beneficiaries identifying as<br>belonging to a group<br>defined by law or in the<br>national census as<br>indigenous<br>||||||\n|Beneficiaries trained in good agroforestry<br>practices|<br>Number of people who<br>benefit from training<br>activities of the project,<br>including on<br>composting,pest<br>management, seed<br>management, and other<br>relevant issues. The number|Quarterly<br>|Implementati<br>on reports<br>|Calculations based on<br>participants lists<br>|DDA, DDEF, and third<br>party service providers<br>|DDA, DDEF, and third<br>party service providers<br>|\n\n\nPage 57 of 75\n\nMention: \"national census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"National census definition is used to identify Indigenous beneficiaries in project monitoring.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000139:3:0", "occurrence_id": "074a3717a0828eb84acafceb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros Financial Sector Development Project (P166193)\n\n\nylang-ylang. Fueled by a large diaspora (one out of six Comorians lives abroad), remittances represent\naround 13 percent of GDP in 2017 <sup>4</sup> [^4: WB figures] and play a catalytic role, but they inhibit long-term economic growth. <sup>5</sup> [^5: Andriamihaja, Cinyabuguma: Understanding fragility in Comoros, remittance and exchange rate trap.] On\nthe other hand, given the small size of the private sector, most of formal workers are in civil service, with\nstrong interpersonal ties and patronage-based recruitment. The large civil service captures a large share of\npublic expenditures, and the wage bill consumes three-fourths of tax revenues, leaving few resources for\ndevelopment needs. <sup>6</sup> [^6: IMF Country Report, June 2018] Although some tax administration measures took place in recent years, tax revenue\ncollection remains very low at an average of 7.1 percent of GDP for the period 2011-2017, compared with\nthe average for Sub-Saharan Africa (15.9 percent of GDP).\n\n4. **While poverty has declined over the past years, spatial and geographical inequalities persist.** The\npoverty rate declined from 54 to 38.1 percent between 2004 and 2014 primarily due to economic growth and\nstrong remittance inflows. <sup>7</sup> [^7: Based on Lower middle-income poverty rate ($3.2 in 2011 PPP). If the International poverty rate ($1.9 in 2011 PPP) is used, the\nfigure is 18.1 percent.] In Comoros, one-fourth of the poor are clustered just below the poverty line. 75\npercent of the poor are self-employed, of which half depend on agriculture (mostly comprised of subsistence\nfarmers), and poverty is more prevalent in rural areas (49.9 percent compared to 31 percent in urban areas).\nWagefarming\n\nMention: \"WB figures\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank figures supply the remittance share of GDP used in the macroeconomic context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000139:3:1", "occurrence_id": "a7de502d092aac07295a00ac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: farming businesses are less likely to be poor, and many households are dependent\non international remittances to meet basic needs, reflecting the state of poverty and the shortage of\nemployment opportunities to promote household self-sustenance.\n\n5. **In light of these challenges, Comoros has undertaken a number of steps to promote socio-economic**\n**development in the country.** The Country’s Poverty Reduction and Growth Strategy Paper (2010-2014)\naimed to: i) strengthen public finance and improve infrastructure provision to help stabilize the economy and\nlay the foundations for sustained and equitable growth, ii) strengthen key sectors with a high potential to\npromote growth and poverty reduction, such as agriculture and fishing, iii) promote governance and social\ncohesion, iv) improve social service delivery, particularly, healthcare and education, and v) promote\nenvironment sustainability and civilian security. The country’s Poverty Reduction Strategy Paper Strategy for\nAccelerated Growth and Sustainable Development (SCADD; 2015-2019) is currently being updated to reflect\nthe new government’s aim to promote growth through investments in electricity, roads, and\ntelecommunications. <sup>8</sup> [^8: Based on Lower middle-income poverty rate ($3.2 in 2011 PPP). If the International poverty rate ($1.9 in 2011 PPP) is used, the\nfigure is 18.1 percent.]\n\n\n6. **The Government is working with a variety of development partners to support economic**\n**development.** The Government has recently undertaken efforts supported by an IMF staff monitored\nprogram (SMP; October 2016-March 2017) to increase revenue mobilization, reduce expenditures, improve\nthe supply of electricity, and bolster the financial sector by resolving issues around the state-owned financial\ninstitution, Société Nationale des Postes et des Services Financiers (SNPSF). The Government has also\nbeen working with other development partners to strengthen the financial sector, including: the French\nDevelopment Agency on the credit registry, French authorities and Afritach South on banking supervision,\nand,\n\nMention: \"Lower middle-income poverty rate\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Lower-middle-income poverty-line indicator defines one threshold used in household poverty estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000139:3:1", "occurrence_id": "f056f3600686e4932d2a3a60", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: farming businesses are less likely to be poor, and many households are dependent\non international remittances to meet basic needs, reflecting the state of poverty and the shortage of\nemployment opportunities to promote household self-sustenance.\n\n5. **In light of these challenges, Comoros has undertaken a number of steps to promote socio-economic**\n**development in the country.** The Country’s Poverty Reduction and Growth Strategy Paper (2010-2014)\naimed to: i) strengthen public finance and improve infrastructure provision to help stabilize the economy and\nlay the foundations for sustained and equitable growth, ii) strengthen key sectors with a high potential to\npromote growth and poverty reduction, such as agriculture and fishing, iii) promote governance and social\ncohesion, iv) improve social service delivery, particularly, healthcare and education, and v) promote\nenvironment sustainability and civilian security. The country’s Poverty Reduction Strategy Paper Strategy for\nAccelerated Growth and Sustainable Development (SCADD; 2015-2019) is currently being updated to reflect\nthe new government’s aim to promote growth through investments in electricity, roads, and\ntelecommunications. <sup>8</sup> [^8: Based on Lower middle-income poverty rate ($3.2 in 2011 PPP). If the International poverty rate ($1.9 in 2011 PPP) is used, the\nfigure is 18.1 percent.]\n\n\n6. **The Government is working with a variety of development partners to support economic**\n**development.** The Government has recently undertaken efforts supported by an IMF staff monitored\nprogram (SMP; October 2016-March 2017) to increase revenue mobilization, reduce expenditures, improve\nthe supply of electricity, and bolster the financial sector by resolving issues around the state-owned financial\ninstitution, Société Nationale des Postes et des Services Financiers (SNPSF). The Government has also\nbeen working with other development partners to strengthen the financial sector, including: the French\nDevelopment Agency on the credit registry, French authorities and Afritach South on banking supervision,\nand,\n\nMention: \"International poverty rate\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"International poverty-line indicator provides an alternative threshold for the poverty estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000174:22:0", "occurrence_id": "becf312d0fe8b2d36e96f9ef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSri Lanka Integrated Watershed and Water Resources Management Project (P166865)\n\n\n(a) **WSM planning.** To improve the management of watersheds to conserve and protect water\n\nresources and enhance the yield of water resources.\n\n\n(b) **Support for policy and institutional arrangements for dam safety.** To consolidate\n\ninstitutional arrangements for sustainable O&M of dams.\n\n\n37. **The locations of the physical infrastructure will be selected to minimize the impacts of climate**\n**change and disasters** and materials will be selected to enhance structural integrity and longevity. The\nresilient features will be integrated into the design. Structural integrity, materials, siting, longevity, and\noverall effectiveness of the investments will generate significant climate co-benefits **.**\n\n\n**IV.** **PROJECT APPRAISAL SUMMARY**\n\n\n**A. Technical and Economic & Financial Analysis**\n\n**Technical Analysis**\n\n\n38. **Hydrological data, knowledge, and tools will be applied in the preparation of the WSM plans.**\nSimilarly, assessment of the proposed watersheds will include land surveys and mapping of the land\ndegradation to identify conservation measures.\n\n\n39. **The technical approaches to the WSM activities have been developed based on lessons from**\n**versions earlier implemented in Sri Lanka.** Prior approaches by the UNDP, Food and Agriculture\nOrganization of the United Nations, Asian Development Bank, AusAid, and the Government were carefully\nstudied, and key lessons from these experiences formed the project’s optimized technical approach to\nWSM. Allegedly, it is not uncommon for WSM projects to succeed with the planned activities without\nproducing the desired downstream results.\n\n\n40. **Benefits of water resources projects such as dams often fall short of original expectations owing**\n**to sedimentation of reservoirs, while sedimentation can affect the operation of a dam at its optimal**\n\nMention: \"Hydrological data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Hydrological observations, land surveys, and degradation mapping support watershed-management planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:11:1", "occurrence_id": "eaf2c8441988fc9df6f0234f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  falling into poverty in the event of a\nshock. Vulnerability is particularly high among the Indigenous Peoples. <sup>4,5</sup> [^4: Data from the latest available household survey (ENCOVI).] [^5: According to the 2018 census, the Indigenous Peoples of Guatemala (of Mayan, Xinca or Garífuna descent) represent 44 percent\nof Guatemala's population. Eighty percent live in poverty compared to 47 percent of the non-indigenous population. The Garífuna\nare a culturally distinct Afro-descendant group recognized as an \"ethnic group\" and represent about 1 percent of the Guatemalan\npopulation.] Income inequality is high, and\nthe Gini coefficient was 0.48 in 2014. In 2018, it was estimated that 46 percent of the total population\nlived in rural areas <sup>6</sup> [^6: Guatemala Population Census, 2018.], where poverty is significantly higher (76 percent) than in urban areas (42 percent).\nAlso, Guatemala’s Human Development Index in 2019 was 0.663, below the Latin American and Caribbean\nregion average of 0.766 and the country currently ranks 127 of 189 countries and territories in the World. <sup>7</sup> [^7: United Nations Development Program (UNDP). 2020. Human Development Indicators. Guatemala.\nhttp://hdr.undp.org/en/countries/profiles/GTM]\n\n\n3. **Guatemala has one of the highest gender inequality indexes and the lowest rates of female labor force**\n**participation in the Latin American and the Caribbean Region** . Many indicators of women’s social and\neconomic well-being have not improved since 2000 and are worse than the average in the Latin American\nand Caribbean region and similar countries. Only four out of 10 women are in the labor force, less than\nhalf the corresponding rate of men. Guatemala also has one of the highest rates of violent deaths of\nwomen from Gender-Based Violence (\n\nMention: \"household survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Latest household survey supplies welfare data for poverty estimates and household profiles.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:11:1", "occurrence_id": "3e71a7b5a08e2b3d9da5d827", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  falling into poverty in the event of a\nshock. Vulnerability is particularly high among the Indigenous Peoples. <sup>4,5</sup> [^4: Data from the latest available household survey (ENCOVI).] [^5: According to the 2018 census, the Indigenous Peoples of Guatemala (of Mayan, Xinca or Garífuna descent) represent 44 percent\nof Guatemala's population. Eighty percent live in poverty compared to 47 percent of the non-indigenous population. The Garífuna\nare a culturally distinct Afro-descendant group recognized as an \"ethnic group\" and represent about 1 percent of the Guatemalan\npopulation.] Income inequality is high, and\nthe Gini coefficient was 0.48 in 2014. In 2018, it was estimated that 46 percent of the total population\nlived in rural areas <sup>6</sup> [^6: Guatemala Population Census, 2018.], where poverty is significantly higher (76 percent) than in urban areas (42 percent).\nAlso, Guatemala’s Human Development Index in 2019 was 0.663, below the Latin American and Caribbean\nregion average of 0.766 and the country currently ranks 127 of 189 countries and territories in the World. <sup>7</sup> [^7: United Nations Development Program (UNDP). 2020. Human Development Indicators. Guatemala.\nhttp://hdr.undp.org/en/countries/profiles/GTM]\n\n\n3. **Guatemala has one of the highest gender inequality indexes and the lowest rates of female labor force**\n**participation in the Latin American and the Caribbean Region** . Many indicators of women’s social and\neconomic well-being have not improved since 2000 and are worse than the average in the Latin American\nand Caribbean region and similar countries. Only four out of 10 women are in the labor force, less than\nhalf the corresponding rate of men. Guatemala also has one of the highest rates of violent deaths of\nwomen from Gender-Based Violence (\n\nMention: \"2018 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Census data describe the Indigenous population share and poverty disparities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:11:1", "occurrence_id": "3715a5a7ea510cbb69d196c9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  falling into poverty in the event of a\nshock. Vulnerability is particularly high among the Indigenous Peoples. <sup>4,5</sup> [^4: Data from the latest available household survey (ENCOVI).] [^5: According to the 2018 census, the Indigenous Peoples of Guatemala (of Mayan, Xinca or Garífuna descent) represent 44 percent\nof Guatemala's population. Eighty percent live in poverty compared to 47 percent of the non-indigenous population. The Garífuna\nare a culturally distinct Afro-descendant group recognized as an \"ethnic group\" and represent about 1 percent of the Guatemalan\npopulation.] Income inequality is high, and\nthe Gini coefficient was 0.48 in 2014. In 2018, it was estimated that 46 percent of the total population\nlived in rural areas <sup>6</sup> [^6: Guatemala Population Census, 2018.], where poverty is significantly higher (76 percent) than in urban areas (42 percent).\nAlso, Guatemala’s Human Development Index in 2019 was 0.663, below the Latin American and Caribbean\nregion average of 0.766 and the country currently ranks 127 of 189 countries and territories in the World. <sup>7</sup> [^7: United Nations Development Program (UNDP). 2020. Human Development Indicators. Guatemala.\nhttp://hdr.undp.org/en/countries/profiles/GTM]\n\n\n3. **Guatemala has one of the highest gender inequality indexes and the lowest rates of female labor force**\n**participation in the Latin American and the Caribbean Region** . Many indicators of women’s social and\neconomic well-being have not improved since 2000 and are worse than the average in the Latin American\nand Caribbean region and similar countries. Only four out of 10 women are in the labor force, less than\nhalf the corresponding rate of men. Guatemala also has one of the highest rates of violent deaths of\nwomen from Gender-Based Violence (\n\nMention: \"Guatemala Population Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Guatemala Population Census provides the 2018 rural-population and poverty context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:11:2", "occurrence_id": "30d2fec62fa7520c2331940a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Brief, April 2021. Poverty estimates use the upper-middle income international poverty\nline (US$5.50-a-day in 2011 Purchase Power Parity) and, unlike the World Bank Macro-Poverty Outlook, are based on\nmicrosimulations using the harmonized Socio-Economic Database for Latin America and the Caribbean (SEDLAC). Baseline data\nfor all projections is from 2014. Assessing more recent changes in poverty and inequality is difficult, due to the scarce\navailability of socio-economic data (since 2000, Guatemala has had the second-lowest number of household surveys available in\nthe region, only after Haiti).\n4 Data from the latest available household survey (ENCOVI).\n5 According to the 2018 census, the Indigenous Peoples of Guatemala (of Mayan, Xinca or Garífuna descent) represent 44 percent\nof Guatemala's population. Eighty percent live in poverty compared to 47 percent of the non-indigenous population. The Garífuna\nare a culturally distinct Afro-descendant group recognized as an \"ethnic group\" and represent about 1 percent of the Guatemalan\npopulation.\n6 Guatemala Population Census, 2018.\n7 United Nations Development Program (UNDP). 2020. Human Development Indicators. Guatemala.\nhttp://hdr.undp.org/en/countries/profiles/GTM\n88 National Institute of Forensic Sciences ( _Instituto Nacional de Ciencias Forenses,_ INACIF).\n\n\nPage 7 of 73\n\nMention: \"harmonized Socio-Economic Database for Latin America and the Caribbean\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Harmonized socioeconomic database supports microsimulated poverty estimates and cross-country poverty comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:11:2", "occurrence_id": "5ecf88d08eec20fca1c1d3cf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Brief, April 2021. Poverty estimates use the upper-middle income international poverty\nline (US$5.50-a-day in 2011 Purchase Power Parity) and, unlike the World Bank Macro-Poverty Outlook, are based on\nmicrosimulations using the harmonized Socio-Economic Database for Latin America and the Caribbean (SEDLAC). Baseline data\nfor all projections is from 2014. Assessing more recent changes in poverty and inequality is difficult, due to the scarce\navailability of socio-economic data (since 2000, Guatemala has had the second-lowest number of household surveys available in\nthe region, only after Haiti).\n4 Data from the latest available household survey (ENCOVI).\n5 According to the 2018 census, the Indigenous Peoples of Guatemala (of Mayan, Xinca or Garífuna descent) represent 44 percent\nof Guatemala's population. Eighty percent live in poverty compared to 47 percent of the non-indigenous population. The Garífuna\nare a culturally distinct Afro-descendant group recognized as an \"ethnic group\" and represent about 1 percent of the Guatemalan\npopulation.\n6 Guatemala Population Census, 2018.\n7 United Nations Development Program (UNDP). 2020. Human Development Indicators. Guatemala.\nhttp://hdr.undp.org/en/countries/profiles/GTM\n88 National Institute of Forensic Sciences ( _Instituto Nacional de Ciencias Forenses,_ INACIF).\n\n\nPage 7 of 73\n\nMention: \"SEDLAC\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"SEDLAC data provide the harmonized base for poverty projections across countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:11:2", "occurrence_id": "24f63d997a1b5bd58cd4142c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Brief, April 2021. Poverty estimates use the upper-middle income international poverty\nline (US$5.50-a-day in 2011 Purchase Power Parity) and, unlike the World Bank Macro-Poverty Outlook, are based on\nmicrosimulations using the harmonized Socio-Economic Database for Latin America and the Caribbean (SEDLAC). Baseline data\nfor all projections is from 2014. Assessing more recent changes in poverty and inequality is difficult, due to the scarce\navailability of socio-economic data (since 2000, Guatemala has had the second-lowest number of household surveys available in\nthe region, only after Haiti).\n4 Data from the latest available household survey (ENCOVI).\n5 According to the 2018 census, the Indigenous Peoples of Guatemala (of Mayan, Xinca or Garífuna descent) represent 44 percent\nof Guatemala's population. Eighty percent live in poverty compared to 47 percent of the non-indigenous population. The Garífuna\nare a culturally distinct Afro-descendant group recognized as an \"ethnic group\" and represent about 1 percent of the Guatemalan\npopulation.\n6 Guatemala Population Census, 2018.\n7 United Nations Development Program (UNDP). 2020. Human Development Indicators. Guatemala.\nhttp://hdr.undp.org/en/countries/profiles/GTM\n88 National Institute of Forensic Sciences ( _Instituto Nacional de Ciencias Forenses,_ INACIF).\n\n\nPage 7 of 73\n\nMention: \"ENCOVI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"ENCOVI supplies the latest household-survey observations used in Guatemala’s poverty analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:11:2", "occurrence_id": "6e6c4ea07bb8b5239fc119e6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Brief, April 2021. Poverty estimates use the upper-middle income international poverty\nline (US$5.50-a-day in 2011 Purchase Power Parity) and, unlike the World Bank Macro-Poverty Outlook, are based on\nmicrosimulations using the harmonized Socio-Economic Database for Latin America and the Caribbean (SEDLAC). Baseline data\nfor all projections is from 2014. Assessing more recent changes in poverty and inequality is difficult, due to the scarce\navailability of socio-economic data (since 2000, Guatemala has had the second-lowest number of household surveys available in\nthe region, only after Haiti).\n4 Data from the latest available household survey (ENCOVI).\n5 According to the 2018 census, the Indigenous Peoples of Guatemala (of Mayan, Xinca or Garífuna descent) represent 44 percent\nof Guatemala's population. Eighty percent live in poverty compared to 47 percent of the non-indigenous population. The Garífuna\nare a culturally distinct Afro-descendant group recognized as an \"ethnic group\" and represent about 1 percent of the Guatemalan\npopulation.\n6 Guatemala Population Census, 2018.\n7 United Nations Development Program (UNDP). 2020. Human Development Indicators. Guatemala.\nhttp://hdr.undp.org/en/countries/profiles/GTM\n88 National Institute of Forensic Sciences ( _Instituto Nacional de Ciencias Forenses,_ INACIF).\n\n\nPage 7 of 73\n\nMention: \"Human Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"UNDP Human Development Indicators provide Guatemala’s development score and ranking.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000182:49:1", "occurrence_id": "98cb10d0970420064c9f1ba4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nagreements will include the transfer of title to ERs and compliance with relevant management\nplans or project documents according to the BSP OM. 4) Be a proponent, co-proponent, or\nimplementer of REDD+ initiatives within the SIGAP, by presenting a management plan for the\nREDD+ initiative or a REDD+ project document, according to the BSP OM. 5) When applicable,\nsubmit the file to register the REDD+ initiatives in protected areas in the National GHG Registry.\n6) When applicable, receive payments for results from MINFIN. 7) Coordinate with GIMBUT\nsupport for the monitoring of ERs within the SIGAP. 8) Compile or coordinate the compilation of\ninformation, preparation and sending of E&S monitoring reports, benefit sharing, carbon\nbenefits and non-carbon benefits and others that are identified in the BSP OM, in coordination\nwith the PIU or landowners / proponents of REDD+ initiatives in protected areas, in accordance\nwith the BSP OM, within the corresponding deadlines. 9) At the request of MINFIN or the PIU,\nprepare and transfer technical reports on the progress of ER Program actions, within the scope\nof its competence. 10) Send the necessary information for the preparation of the monitoring\nreports to the PIU and implement the possible corrective actions and improvements required by\nthe verifying organization.\n\n\nd) **MARN** : 1) Establish and manage the National GHG Registry and the SNICC platform. 2)\n\nCoordinate and ensure effective FGRM implementation, within the scope of its competence, in\ncoordination with the PIU. 3) Coordinate with the PIU the FGRM database through the SNICC. 4)\nCoordinate with the PIU data management on E&S aspects, benefits distribution, non-carbon\nbenefits monitoring, and publish said information in the SNICC Website. 5) Prepare the\ncorresponding reports based on the information provided by the PIU for its presentation before\nthe UNFCCC. 6) Promote favourable\n\nMention: \"National GHG Registry\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"National GHG Registry stores emissions and REDD+ program information for monitoring and verification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:36:0", "occurrence_id": "466241b87e15a63437f2b789", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNigeria Improved Child Survival Program for Human Capital MPA (P167156)\n\n\n54. **Goal 2: Assess effectiveness and reach of various channels of SBCC.** The MPA will support\nformative research, evaluation, and adaptation of comprehensive SBCC interventions to address demandside constraints in RMNCH services. Successful SBCC strategies will then be included in Phase III of the\nMPA.\n\n\n55. **Goal 3: Effectiveness and reach of conditional transfers in improving service utilization.**\nConditional transfers to improve health service utilization have been implemented globally with recent\nventures in Nigeria as well. The M&E component will evaluate the effectiveness and reach of conditional\ntransfers in improving immunization in poorly performing LGAs of immunization plus states in the first\nphase, which will also inform whether this intervention will be included in subsequent MPA phases or\nother ongoing social protection projects.\n\n\n**(b)** **Improving Health Systems**\n\n\n56. **Goal 4: Evaluate effectiveness of performance frameworks in incentivizing results-based work**\n**in state and federal PIUs.** The program will also support a process evaluation to understand the potential\neffectiveness of performance frameworks in improving institutional performance and accountability at\nthe federal and state level.\n\n\n57. **Goal 5: Data-driven decision making.** The MPA will scale up and launch various critical M&E\nsystems for dynamic measurement and course correction including household surveys (including Lot\nQuality Assurance Sampling [LQAS] surveys to measure LGA-level performance), health facility surveys,\nuse of GIS data and satellite imagery for population estimates, data quality assessment (DQA) to improve\nroutine data collection, and digital supervisory checklists. The effectiveness of these technologies will be\nevaluated for potential continuation in Phase III.\n\n\n**II.** **PROJECT DESCRIPTION**\n\n\n**A. Project Development Objective**\n\n\n**PDO Statement**\n\n\n58. The\n\nMention: \"Lot\nQuality Assurance Sampling [LQAS] surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Lot Quality Assurance Sampling surveys measure local health-service performance and inform program decisions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:36:0", "occurrence_id": "87f19c268488804867f73b9d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNigeria Improved Child Survival Program for Human Capital MPA (P167156)\n\n\n54. **Goal 2: Assess effectiveness and reach of various channels of SBCC.** The MPA will support\nformative research, evaluation, and adaptation of comprehensive SBCC interventions to address demandside constraints in RMNCH services. Successful SBCC strategies will then be included in Phase III of the\nMPA.\n\n\n55. **Goal 3: Effectiveness and reach of conditional transfers in improving service utilization.**\nConditional transfers to improve health service utilization have been implemented globally with recent\nventures in Nigeria as well. The M&E component will evaluate the effectiveness and reach of conditional\ntransfers in improving immunization in poorly performing LGAs of immunization plus states in the first\nphase, which will also inform whether this intervention will be included in subsequent MPA phases or\nother ongoing social protection projects.\n\n\n**(b)** **Improving Health Systems**\n\n\n56. **Goal 4: Evaluate effectiveness of performance frameworks in incentivizing results-based work**\n**in state and federal PIUs.** The program will also support a process evaluation to understand the potential\neffectiveness of performance frameworks in improving institutional performance and accountability at\nthe federal and state level.\n\n\n57. **Goal 5: Data-driven decision making.** The MPA will scale up and launch various critical M&E\nsystems for dynamic measurement and course correction including household surveys (including Lot\nQuality Assurance Sampling [LQAS] surveys to measure LGA-level performance), health facility surveys,\nuse of GIS data and satellite imagery for population estimates, data quality assessment (DQA) to improve\nroutine data collection, and digital supervisory checklists. The effectiveness of these technologies will be\nevaluated for potential continuation in Phase III.\n\n\n**II.** **PROJECT DESCRIPTION**\n\n\n**A. Project Development Objective**\n\n\n**PDO Statement**\n\n\n58. The\n\nMention: \"health facility surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Health-facility surveys assess service delivery and care quality for program evaluation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:36:0", "occurrence_id": "866ff241ed106f7fb006746d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNigeria Improved Child Survival Program for Human Capital MPA (P167156)\n\n\n54. **Goal 2: Assess effectiveness and reach of various channels of SBCC.** The MPA will support\nformative research, evaluation, and adaptation of comprehensive SBCC interventions to address demandside constraints in RMNCH services. Successful SBCC strategies will then be included in Phase III of the\nMPA.\n\n\n55. **Goal 3: Effectiveness and reach of conditional transfers in improving service utilization.**\nConditional transfers to improve health service utilization have been implemented globally with recent\nventures in Nigeria as well. The M&E component will evaluate the effectiveness and reach of conditional\ntransfers in improving immunization in poorly performing LGAs of immunization plus states in the first\nphase, which will also inform whether this intervention will be included in subsequent MPA phases or\nother ongoing social protection projects.\n\n\n**(b)** **Improving Health Systems**\n\n\n56. **Goal 4: Evaluate effectiveness of performance frameworks in incentivizing results-based work**\n**in state and federal PIUs.** The program will also support a process evaluation to understand the potential\neffectiveness of performance frameworks in improving institutional performance and accountability at\nthe federal and state level.\n\n\n57. **Goal 5: Data-driven decision making.** The MPA will scale up and launch various critical M&E\nsystems for dynamic measurement and course correction including household surveys (including Lot\nQuality Assurance Sampling [LQAS] surveys to measure LGA-level performance), health facility surveys,\nuse of GIS data and satellite imagery for population estimates, data quality assessment (DQA) to improve\nroutine data collection, and digital supervisory checklists. The effectiveness of these technologies will be\nevaluated for potential continuation in Phase III.\n\n\n**II.** **PROJECT DESCRIPTION**\n\n\n**A. Project Development Objective**\n\n\n**PDO Statement**\n\n\n58. The\n\nMention: \"GIS data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"GIS and satellite imagery support population estimates and geographic targeting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:54:1", "occurrence_id": "ec1c76f7caccb3f74c27be8e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . **M&E** . The FGoN has planned to conduct several national surveys over the next few years,\nincluding the NDHS 2018, annual SMART surveys, and annual NHFSs. Funds are secured for SMART and\nNHFS until 2020; IMPACT will support these surveys for the duration of the project. These preidentified\ndata sources can serve as robust means of collecting data to track progress of the program and IMPACT.\n\n\n112. **Annual SMART surveys.** SMART household surveys have been carried out nationwide three times\nin the last four years and can be used to measure (a) use of curative services for malaria (diagnosis and\ntreatment for children with fever); (b) the proportion of children sleeping under LLINs; (c) use of IPT by\npregnant women; (d) Penta 3 coverage; (e) skilled delivery; and (f) postnatal care. The SMART surveys will\nalso be used to measure progress on other phases of the MPA, including coverage for most of the\ninterventions covered by BHCPF (skilled birth attendance, antenatal care, postnatal care, and use of family\nplanning, and so on). There will also be a need to dedicate some resources to LQAS household surveys,\nwhich can measure indexes related to knowledge and behavior change. The LQAS surveys also provide\nsome data about LGA-level results, which will be relevant for performance payments to NGOs and statelevel officials. PCV coverage and Penta 3 coverage in the bottom two wealth quintiles will be tracked about\nonce in two years, through other standard household surveys—MICS and DHS.\n\n\n113. **Annual NHFS.** The NHFS will track changes in (a) quality of care, including malaria diagnostic and\ncase management capacity of health workers; (b) quality of supervision; and (c) sharps disposal\nmanagement in health facilities in project states.\n\n\n114. **Qualitative research\n\nMention: \"LQAS surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"LQAS household surveys measure knowledge and behavior change for health interventions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:54:1", "occurrence_id": "9bf8138e0aff30bedb53e03a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . **M&E** . The FGoN has planned to conduct several national surveys over the next few years,\nincluding the NDHS 2018, annual SMART surveys, and annual NHFSs. Funds are secured for SMART and\nNHFS until 2020; IMPACT will support these surveys for the duration of the project. These preidentified\ndata sources can serve as robust means of collecting data to track progress of the program and IMPACT.\n\n\n112. **Annual SMART surveys.** SMART household surveys have been carried out nationwide three times\nin the last four years and can be used to measure (a) use of curative services for malaria (diagnosis and\ntreatment for children with fever); (b) the proportion of children sleeping under LLINs; (c) use of IPT by\npregnant women; (d) Penta 3 coverage; (e) skilled delivery; and (f) postnatal care. The SMART surveys will\nalso be used to measure progress on other phases of the MPA, including coverage for most of the\ninterventions covered by BHCPF (skilled birth attendance, antenatal care, postnatal care, and use of family\nplanning, and so on). There will also be a need to dedicate some resources to LQAS household surveys,\nwhich can measure indexes related to knowledge and behavior change. The LQAS surveys also provide\nsome data about LGA-level results, which will be relevant for performance payments to NGOs and statelevel officials. PCV coverage and Penta 3 coverage in the bottom two wealth quintiles will be tracked about\nonce in two years, through other standard household surveys—MICS and DHS.\n\n\n113. **Annual NHFS.** The NHFS will track changes in (a) quality of care, including malaria diagnostic and\ncase management capacity of health workers; (b) quality of supervision; and (c) sharps disposal\nmanagement in health facilities in project states.\n\n\n114. **Qualitative research\n\nMention: \"MICS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"MICS surveys track vaccination coverage in the bottom wealth quintiles.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:54:1", "occurrence_id": "e605f53ba2a38192bbd79cfc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . **M&E** . The FGoN has planned to conduct several national surveys over the next few years,\nincluding the NDHS 2018, annual SMART surveys, and annual NHFSs. Funds are secured for SMART and\nNHFS until 2020; IMPACT will support these surveys for the duration of the project. These preidentified\ndata sources can serve as robust means of collecting data to track progress of the program and IMPACT.\n\n\n112. **Annual SMART surveys.** SMART household surveys have been carried out nationwide three times\nin the last four years and can be used to measure (a) use of curative services for malaria (diagnosis and\ntreatment for children with fever); (b) the proportion of children sleeping under LLINs; (c) use of IPT by\npregnant women; (d) Penta 3 coverage; (e) skilled delivery; and (f) postnatal care. The SMART surveys will\nalso be used to measure progress on other phases of the MPA, including coverage for most of the\ninterventions covered by BHCPF (skilled birth attendance, antenatal care, postnatal care, and use of family\nplanning, and so on). There will also be a need to dedicate some resources to LQAS household surveys,\nwhich can measure indexes related to knowledge and behavior change. The LQAS surveys also provide\nsome data about LGA-level results, which will be relevant for performance payments to NGOs and statelevel officials. PCV coverage and Penta 3 coverage in the bottom two wealth quintiles will be tracked about\nonce in two years, through other standard household surveys—MICS and DHS.\n\n\n113. **Annual NHFS.** The NHFS will track changes in (a) quality of care, including malaria diagnostic and\ncase management capacity of health workers; (b) quality of supervision; and (c) sharps disposal\nmanagement in health facilities in project states.\n\n\n114. **Qualitative research\n\nMention: \"DHS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"DHS surveys track vaccination coverage in the bottom wealth quintiles.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:54:1", "occurrence_id": "dde1d05ca77d180e13ef5939", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . **M&E** . The FGoN has planned to conduct several national surveys over the next few years,\nincluding the NDHS 2018, annual SMART surveys, and annual NHFSs. Funds are secured for SMART and\nNHFS until 2020; IMPACT will support these surveys for the duration of the project. These preidentified\ndata sources can serve as robust means of collecting data to track progress of the program and IMPACT.\n\n\n112. **Annual SMART surveys.** SMART household surveys have been carried out nationwide three times\nin the last four years and can be used to measure (a) use of curative services for malaria (diagnosis and\ntreatment for children with fever); (b) the proportion of children sleeping under LLINs; (c) use of IPT by\npregnant women; (d) Penta 3 coverage; (e) skilled delivery; and (f) postnatal care. The SMART surveys will\nalso be used to measure progress on other phases of the MPA, including coverage for most of the\ninterventions covered by BHCPF (skilled birth attendance, antenatal care, postnatal care, and use of family\nplanning, and so on). There will also be a need to dedicate some resources to LQAS household surveys,\nwhich can measure indexes related to knowledge and behavior change. The LQAS surveys also provide\nsome data about LGA-level results, which will be relevant for performance payments to NGOs and statelevel officials. PCV coverage and Penta 3 coverage in the bottom two wealth quintiles will be tracked about\nonce in two years, through other standard household surveys—MICS and DHS.\n\n\n113. **Annual NHFS.** The NHFS will track changes in (a) quality of care, including malaria diagnostic and\ncase management capacity of health workers; (b) quality of supervision; and (c) sharps disposal\nmanagement in health facilities in project states.\n\n\n114. **Qualitative research\n\nMention: \"NDHS 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National Demographic and Health Survey is a planned source for monitoring health-program progress.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:54:1", "occurrence_id": "17175337869a3847cd500c63", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . **M&E** . The FGoN has planned to conduct several national surveys over the next few years,\nincluding the NDHS 2018, annual SMART surveys, and annual NHFSs. Funds are secured for SMART and\nNHFS until 2020; IMPACT will support these surveys for the duration of the project. These preidentified\ndata sources can serve as robust means of collecting data to track progress of the program and IMPACT.\n\n\n112. **Annual SMART surveys.** SMART household surveys have been carried out nationwide three times\nin the last four years and can be used to measure (a) use of curative services for malaria (diagnosis and\ntreatment for children with fever); (b) the proportion of children sleeping under LLINs; (c) use of IPT by\npregnant women; (d) Penta 3 coverage; (e) skilled delivery; and (f) postnatal care. The SMART surveys will\nalso be used to measure progress on other phases of the MPA, including coverage for most of the\ninterventions covered by BHCPF (skilled birth attendance, antenatal care, postnatal care, and use of family\nplanning, and so on). There will also be a need to dedicate some resources to LQAS household surveys,\nwhich can measure indexes related to knowledge and behavior change. The LQAS surveys also provide\nsome data about LGA-level results, which will be relevant for performance payments to NGOs and statelevel officials. PCV coverage and Penta 3 coverage in the bottom two wealth quintiles will be tracked about\nonce in two years, through other standard household surveys—MICS and DHS.\n\n\n113. **Annual NHFS.** The NHFS will track changes in (a) quality of care, including malaria diagnostic and\ncase management capacity of health workers; (b) quality of supervision; and (c) sharps disposal\nmanagement in health facilities in project states.\n\n\n114. **Qualitative research\n\nMention: \"annual SMART surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Annual SMART surveys measure child nutrition, malaria services, immunization, skilled delivery, and postnatal care.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:54:1", "occurrence_id": "be88650252f7c51aba056567", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . **M&E** . The FGoN has planned to conduct several national surveys over the next few years,\nincluding the NDHS 2018, annual SMART surveys, and annual NHFSs. Funds are secured for SMART and\nNHFS until 2020; IMPACT will support these surveys for the duration of the project. These preidentified\ndata sources can serve as robust means of collecting data to track progress of the program and IMPACT.\n\n\n112. **Annual SMART surveys.** SMART household surveys have been carried out nationwide three times\nin the last four years and can be used to measure (a) use of curative services for malaria (diagnosis and\ntreatment for children with fever); (b) the proportion of children sleeping under LLINs; (c) use of IPT by\npregnant women; (d) Penta 3 coverage; (e) skilled delivery; and (f) postnatal care. The SMART surveys will\nalso be used to measure progress on other phases of the MPA, including coverage for most of the\ninterventions covered by BHCPF (skilled birth attendance, antenatal care, postnatal care, and use of family\nplanning, and so on). There will also be a need to dedicate some resources to LQAS household surveys,\nwhich can measure indexes related to knowledge and behavior change. The LQAS surveys also provide\nsome data about LGA-level results, which will be relevant for performance payments to NGOs and statelevel officials. PCV coverage and Penta 3 coverage in the bottom two wealth quintiles will be tracked about\nonce in two years, through other standard household surveys—MICS and DHS.\n\n\n113. **Annual NHFS.** The NHFS will track changes in (a) quality of care, including malaria diagnostic and\ncase management capacity of health workers; (b) quality of supervision; and (c) sharps disposal\nmanagement in health facilities in project states.\n\n\n114. **Qualitative research\n\nMention: \"annual NHFSs\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Annual NHFS monitors care quality, supervision, and sharps disposal in project health facilities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000184:57:1", "occurrence_id": "4def05225feb1965f95f0cbd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  sick. Breaking this vicious\ncycle is an important aspect of human capital formation.\n\n\n(c) **Fertility rate reduction.** There has never been a significant reduction in fertility rate that was not\npreceded by a steep reduction in U5MR. Families across the world will continue to have high fertility\nrates if they fear that many of their children will die in childhood. Because reducing U5MR is critical\nto fertility rate reduction, it also an essential aspect of obtaining a demographic dividend.\n\n\n(d) **Economic growth.** A paper by Jamison, Summers, and others <sup>24</sup> has argued that reductions in\n\nmortality account for about 11 percent of recent economic growth in low and middle-income\ncountries based on national income accounts. Using a more encompassing measure of growth based\non ‘full income,’ they argue that 24 percent of the growth observed between 2000 and 2011 in full\nincome was due to mortality reduction.\n\n\n(e) **Reductions in child mortality have preceded economic take-off.** Whether they are causal or not,\n\nimprovements in child mortality preceded the economic take-off observed in East Asian ‘tiger’\neconomies (figure 12). Waiting for economic growth to improve child health has not worked in Africa\nand goes against the experience in East Asia.\n\n\n24 Jamison, D. T., L. H. Summers, et al. 2013. “Global Health 2035: A World Converging within a Generation.” _Lancet_ 382:1898–\n955.\n\n\nPage 51 of 75\n\nMention: \"national income accounts\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"National-income-account data support estimates of how mortality reductions contributed to growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000196:11:1", "occurrence_id": "da1b141c3bda47865f0a4038", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . The country’s\neconomy was hit significantly by Cyclone Pam in March 2015 especially tourism, agriculture and forestry, causing\neconomic damage equivalent to 64 percent of the country’s GDP. Over the past four years, the economy has recovered\nwell from the cyclone and is on track for slow but sustainable growth. The construction industry has been particularly\nboosted due to the heavy demand for post-cyclone reconstruction. According to the October 2019 forecast by the\nInternational Monetary Fund (IMF), the GDP is expected to increase at an annual average rate of 3.1 percent between\n2018 and 2024.\n\n3. **The country’s poverty rate, based on the national basic needs poverty line, has barely changed from 13.0**\n**percent of the population in 2006 to 12.7 percent of the population in 2010.** <sup>**3**</sup> [^3: United Nations Development Program (UNDP), Vanuatu Hardship and Poverty Report, Analysis of the 2010 Household Income and\nExpenditure Survey, 2013. It should be noted that the 2010 Household Income and Expenditure Survey data is the most recent poverty\nestimates for Vanuatu. A 2018/2019 Household Income and Expenditure Survey is ongoing.] A large proportion of the population (2050 percent) is concentrated marginally above the poverty line and is highly vulnerable to falling back into poverty. The\npoverty rate is higher in urban areas, at 18.4 percent of the population in Port Vila and 23.6 percent of the population\nin Luganville, compared to 10.0 percent of the population in rural areas. The country ranks 138th out of 189 on the 2017\nUnited Nations Human Development Index, placing it in the ‘medium human development’ category. <sup>4</sup> [^4: UNDP, Human Development Indices and Indicators, 2018 Statistical Update.]\n\n4. **Vanuatu is one of the most vulnerable countries in the world to climate change and natural disaster risks\n\nMention: \"2010 Household Income and\nExpenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"2010 household income and expenditure survey supplies the latest poverty estimates for Vanuatu.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000196:11:1", "occurrence_id": "0da15493d3cb00b59c3bf82a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . The country’s\neconomy was hit significantly by Cyclone Pam in March 2015 especially tourism, agriculture and forestry, causing\neconomic damage equivalent to 64 percent of the country’s GDP. Over the past four years, the economy has recovered\nwell from the cyclone and is on track for slow but sustainable growth. The construction industry has been particularly\nboosted due to the heavy demand for post-cyclone reconstruction. According to the October 2019 forecast by the\nInternational Monetary Fund (IMF), the GDP is expected to increase at an annual average rate of 3.1 percent between\n2018 and 2024.\n\n3. **The country’s poverty rate, based on the national basic needs poverty line, has barely changed from 13.0**\n**percent of the population in 2006 to 12.7 percent of the population in 2010.** <sup>**3**</sup> [^3: United Nations Development Program (UNDP), Vanuatu Hardship and Poverty Report, Analysis of the 2010 Household Income and\nExpenditure Survey, 2013. It should be noted that the 2010 Household Income and Expenditure Survey data is the most recent poverty\nestimates for Vanuatu. A 2018/2019 Household Income and Expenditure Survey is ongoing.] A large proportion of the population (2050 percent) is concentrated marginally above the poverty line and is highly vulnerable to falling back into poverty. The\npoverty rate is higher in urban areas, at 18.4 percent of the population in Port Vila and 23.6 percent of the population\nin Luganville, compared to 10.0 percent of the population in rural areas. The country ranks 138th out of 189 on the 2017\nUnited Nations Human Development Index, placing it in the ‘medium human development’ category. <sup>4</sup> [^4: UNDP, Human Development Indices and Indicators, 2018 Statistical Update.]\n\n4. **Vanuatu is one of the most vulnerable countries in the world to climate change and natural disaster risks\n\nMention: \"Human Development Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Human Development Index provides an international development ranking for Vanuatu.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000196:11:1", "occurrence_id": "26ad44f5e0ef54600557af8d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . The country’s\neconomy was hit significantly by Cyclone Pam in March 2015 especially tourism, agriculture and forestry, causing\neconomic damage equivalent to 64 percent of the country’s GDP. Over the past four years, the economy has recovered\nwell from the cyclone and is on track for slow but sustainable growth. The construction industry has been particularly\nboosted due to the heavy demand for post-cyclone reconstruction. According to the October 2019 forecast by the\nInternational Monetary Fund (IMF), the GDP is expected to increase at an annual average rate of 3.1 percent between\n2018 and 2024.\n\n3. **The country’s poverty rate, based on the national basic needs poverty line, has barely changed from 13.0**\n**percent of the population in 2006 to 12.7 percent of the population in 2010.** <sup>**3**</sup> [^3: United Nations Development Program (UNDP), Vanuatu Hardship and Poverty Report, Analysis of the 2010 Household Income and\nExpenditure Survey, 2013. It should be noted that the 2010 Household Income and Expenditure Survey data is the most recent poverty\nestimates for Vanuatu. A 2018/2019 Household Income and Expenditure Survey is ongoing.] A large proportion of the population (2050 percent) is concentrated marginally above the poverty line and is highly vulnerable to falling back into poverty. The\npoverty rate is higher in urban areas, at 18.4 percent of the population in Port Vila and 23.6 percent of the population\nin Luganville, compared to 10.0 percent of the population in rural areas. The country ranks 138th out of 189 on the 2017\nUnited Nations Human Development Index, placing it in the ‘medium human development’ category. <sup>4</sup> [^4: UNDP, Human Development Indices and Indicators, 2018 Statistical Update.]\n\n4. **Vanuatu is one of the most vulnerable countries in the world to climate change and natural disaster risks\n\nMention: \"Human Development Indices and Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNDP Human Development Indices and Indicators report is cited for Vanuatu’s development statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000206:51:1", "occurrence_id": "d21768be58483f1cebc051e7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  optimize\ndelivery of financial services and cash transfers during the recovery period of the COVID-19 crisis. Both will be\npiloted with selected financial institutions.\n\n\n\n**Figure 1.2: Mobile penetration rate for voice (2G) and**\n\n**broadband (3G, 4G), as % pop., 2018**\n\n\n_Source:_ GSMA Intelligence.\n_Note:_ Penetration based on number of SIM\ncards.\n\n\n\n**Figure 1.3: Mobile penetration rate for urban and**\n\n**rural population, as % pop., 2018**\n\n\n_Source:_ Gallup World Surveys.\n_Note:_ Penetration based on a survey of the adult\npopulation.\n\n\n\n**<u>Component 2 – Developing Rural Connectivity (US$63 million equivalent)</u>**\n\n10. **Guiding principles for designing the activities under Component 2 –** The proposed component implies the use of\nproject funds to support the extension of digital infrastructures through the award of “least-cost” capital subsidies\nthrough a competitive “reverse auction” tender process to private operators in order to extend digital connectivity\nin targeted areas which are commercially not viable. As this component relies on the use of project funds to stimulate\n\n\nPage 46 of 89\n\nMention: \"GSMA Intelligence\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"GSMA Intelligence supplies mobile-network penetration data based on SIM-card counts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000206:51:1", "occurrence_id": "1c47ea2bb69f2be2a964249f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  optimize\ndelivery of financial services and cash transfers during the recovery period of the COVID-19 crisis. Both will be\npiloted with selected financial institutions.\n\n\n\n**Figure 1.2: Mobile penetration rate for voice (2G) and**\n\n**broadband (3G, 4G), as % pop., 2018**\n\n\n_Source:_ GSMA Intelligence.\n_Note:_ Penetration based on number of SIM\ncards.\n\n\n\n**Figure 1.3: Mobile penetration rate for urban and**\n\n**rural population, as % pop., 2018**\n\n\n_Source:_ Gallup World Surveys.\n_Note:_ Penetration based on a survey of the adult\npopulation.\n\n\n\n**<u>Component 2 – Developing Rural Connectivity (US$63 million equivalent)</u>**\n\n10. **Guiding principles for designing the activities under Component 2 –** The proposed component implies the use of\nproject funds to support the extension of digital infrastructures through the award of “least-cost” capital subsidies\nthrough a competitive “reverse auction” tender process to private operators in order to extend digital connectivity\nin targeted areas which are commercially not viable. As this component relies on the use of project funds to stimulate\n\n\nPage 46 of 89\n\nMention: \"Gallup World Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Gallup World Surveys provide adult-population data for urban/rural mobile-penetration estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000206:78:1", "occurrence_id": "63cdb6e2d0014981408fccc9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  they own a mobile phone against 43 percent of\nfemale respondents which leads to a Gender Parity Index for mobile ownership of 0.69, the third most\nimportant relative gap for all SSA Low Income countries (after Ethiopia and Chad). The gender gap in device\nownership is aggravated when it comes to the use of digital services: only 5 percent of women in Niger have\na mobile money account against 12 percent of men, which leads to a Gender Parity Index for mobile money\naccounts of 0.44, the second most important gap in SSA (after Ethiopia).\n\n\n\n**Figure 3.1: Mobile penetration rate by gender and**\n\n**Gender Parity Index, % pop., 2017**\n\n\nSource: Gallup World Surveys\nNote: Penetration based on a survey of the\npopulation\n\n\n\n**Figure 3.2: Penetration of mobile money accounts by**\n\n**gender and Gender Parity Index, 2017**\n\n\nSource: World Bank Findex (2017)\nNote: Penetration rates in Mauritania are too low to\nshow a gender gap\n\n\n\n40 Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with\nunderstanding a short simple statement about their everyday life.\n\n\nPage 73 of 89\n\nMention: \"Gallup World Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Gallup survey data measure mobile penetration by gender.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000206:78:1", "occurrence_id": "4931130c788394c8a8fe2157", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  they own a mobile phone against 43 percent of\nfemale respondents which leads to a Gender Parity Index for mobile ownership of 0.69, the third most\nimportant relative gap for all SSA Low Income countries (after Ethiopia and Chad). The gender gap in device\nownership is aggravated when it comes to the use of digital services: only 5 percent of women in Niger have\na mobile money account against 12 percent of men, which leads to a Gender Parity Index for mobile money\naccounts of 0.44, the second most important gap in SSA (after Ethiopia).\n\n\n\n**Figure 3.1: Mobile penetration rate by gender and**\n\n**Gender Parity Index, % pop., 2017**\n\n\nSource: Gallup World Surveys\nNote: Penetration based on a survey of the\npopulation\n\n\n\n**Figure 3.2: Penetration of mobile money accounts by**\n\n**gender and Gender Parity Index, 2017**\n\n\nSource: World Bank Findex (2017)\nNote: Penetration rates in Mauritania are too low to\nshow a gender gap\n\n\n\n40 Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with\nunderstanding a short simple statement about their everyday life.\n\n\nPage 73 of 89\n\nMention: \"World Bank Findex\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"World Bank Findex provides mobile-money account indicators by gender.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000206:60:1", "occurrence_id": "1021b53cab749293401a7e6d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Mobile money literacy campaigns;\n\n\nb. Facilitating delivery of social safety nets to vulnerable populations via mobile phones;\n\n\nc. Expansion of grants to merchants in rural and rural areas so that they can accept mobile money to reduce cash\n\nmanipulation and liquidity crunch;\n\n\nd. Support to FINTECH companies to facilitate delivery of microloans, micro-insurance products;\n\n\ne. Support for use of geospatial data to optimize the delivery of cash transfers and financial services; and\n\n\nf. Support to facilitate interoperability between mobile money operators.\n\n\n27. According to recent World Bank studies <sup>32</sup>, main reasons of the limited uptake of mobile finance in Niger include:\n\n\na. **Weak network coverage and lack of interoperability.** At least 10 percent of Niger’s population is not covered even\n\nby a 2G mobile network. While 2G allows mobile finance through Unstructured Supplementary Service Data\n(USSD), the speed is inadequate for large-scale mobile finance and does not allow data coverage, which is needed\nto give users access to better digital finance solutions that use smartphones or require data exchange for example.\nFurthermore, there is a lack of interconnection among operators which constrains users to conduct cash in/cash\nout only with operators they are registered with. This is a real issue, especially in rural areas given the limited\npresence of mobile money agents.\n\n\n32 Digitalization of Government Payments.\n\n\nPage 55 of 89\n\nMention: \"geospatial data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Geospatial data proposed to target delivery of cash transfers and financial services.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000229:2:1", "occurrence_id": "5e28f6c38ec44074ed063b75", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: I) per capita <sup>2</sup> was estimated at US$320 in 2017. Malawi\nis ranked 170 out of 188 countries on the United Nations Human Development Index, and 125 out of 157 on the World\nBank’s Human Capital Index. Almost half (47 percent) of the children under age five in Malawi are short for their age\ndue to long-term effects of malnutrition and 20 percent are severely stunted.  Malawi’s economic growth rates have\nfallen below the average of 2.8 percent in non-resource rich African economies during the last twenty years. Real per\ncapita Gross Domestic Product (GDP) has grown at an average of just above 1.5 percent per year between 1995 and\n2014. With these persistent low growth rates, successive governments in Malawi have struggled to lift people out of\npoverty.  Wealth accounting data <sup>3</sup> shows that more than half of Malawi’s wealth (estimated at US$10,442 per capita in\n2014) is renewable natural capital, mainly cropland with smaller shares contributed by pastureland, forests and\nprotected areas. The natural capital base however is under extreme pressure due population growth, agricultural\nexpansion and climate change. There is also a strong correlation between areas with highly degraded land and those\nwith a high incidence of poverty, although there is currently insufficient evidence to point to a causal link <sup>4</sup> .\n\n\n1 World Bank (2017). Malawi Economic Monitor – Unleashing the Urban Economy, Macroeconomics and Fiscal Management Global\nPractice, Washington, DC: The World Bank.\n2 GNI _per capita_ - atlas method (current US$)\n3 Lange et al. (2018). The Changing Wealth of Nations 2018: Building a Sustainable Future. Washington, DC: World Bank\n4 World Bank (2018). Malawi Country Environmental Analysis. October 2018 (under preparation)\n\n\nNov 27, 2018 Page 3 of\n\nMention: \"Wealth accounting data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Wealth-accounting data quantify renewable natural capital and forest contributions to Malawi’s GDP and poverty context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000234:12:1", "occurrence_id": "56e4b97aed9222cec44367fd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  implemented**\n**could set the stage for a stronger and more equitable growth path.** The COVID-19 response included a very\nsuccessful vaccination campaign as well as the roll-out of the TADAMON emergency cash transfer program\nwhich demonstrated the government capacity to identify and reach about two-thirds of households while\nrespecting physical distancing measures and providing support in a presence-less manner. GDP growth\naccelerated to 7.4 percent in 2021 and poverty is expected to have declined but not to have returned to the\n2019 level. The poverty rate (US$3.2 purchasing power parity line line) is expected to have fallen below the\n6 percent threshold; a level achieved in 2017. The percentage of “vulnerable” population (US$5.5\npurchasing power parity line line) is estimated to have decreased in 2021 to about 25.8 percent from 29.0\nin 2020. This decline is likely to continue, but poverty indicators are not expected to return to pre-COVID19 levels until 2023. The successful implementation of the envisaged health and social protection (SP)reform\nor an increase in net job creation, particularly among the excluded population (women and youth), could\naccelerate this process.\n\n\n3. **Before the dual crisis of 2020, Morocco had achieved substantial economic and development gains in**\n**the past two decades.** The Kingdom has made significant social and economic progress since 2000, thanks\nto political stability, large public investments as well as institutional and sector reforms. Accelerated\neconomic growth led to a sharp decline in the national poverty rate (extreme poverty was close to\neradicated in 2019, with a national poverty rate of 1.7 percent <sup>2</sup> [^2: Official rate from HCP, based Enquête Nationale sur les Sources de Revenu (ENSR) 2019. World Bank calculations based on\ndata from the Household Consumption and Expenditures Survey 2013/14, HCP and updated using quintile growth from ENSR] ), increased life expectancy, greater access\nto basic public services\n\nMention: \"Household Consumption and Expenditures Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household consumption survey data support poverty estimates and are updated with subsequent quintile growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000234:67:2", "occurrence_id": "e397e71e953425daeaca9dd5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ) which is\ncash basis. Specifically, the CRI-O and OFPPT will use the accounting principle applicable to government institutions\nand public agencies while the PMU/DGR of MEE and MTL will follow the central government public-sector\naccounting standards. The review of external audit reports of the MEE entities as well as the outcomes of the\nsupervision missions of the Bank-financed operation PNRR1 and PNRR2 did not reveal any significant weaknesses\nor non-compliance with these accounting principles. MTL and MEE entities, as all ministries, will account for the\nproject transaction using dedicated accounting software developed in-house the accounting records are based on\nthe Integrated Expenditure Management System ( _Gestion Intégrée de la Dépense - GID_ ), which ensures a high\ndegree of reliability and traceability of accounting records and operations. At the level of CRI-O, an ERP is used to\nits full potential in the finance area because it allows to gather all the data in a single database. OFPPT uses an ERP\nfor financial and accounting purposes. Recruitment of additional accounting staff to OFPPT could enable its full\ndeployment in 2021.\n\n\n13. **Interim financial reporting** . The FM arrangements of the project require to prepare consolidated unaudited\ninterim financial reports (IFRs) every six months and submitted to the World Bank no later than 45 days after the\nend of each civil semester. These IFRs will be submitted to the PMU, by the regional entities involved in the project\nfor review and preparation of consolidated IFRs. Specifically, like most of the World Bank-financed operations in\nMorocco, a spreadsheet and data extracted from the national budget execution software GID combined with\nindividual IFR of MTL, CRI-O and OFPPT, will be used to prepare project’s periodic consolidated financial reports\n(IFRs) and consolidated annual financial statements. The consolidated\n\nMention: \"national budget execution software GID\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Budget-execution data and agency financial reports are consolidated to prepare project interim and annual financial statements.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000234:14:1", "occurrence_id": "afc35719995f5c7312a1f9d4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  In particular, the Rif is mostly affected by soil instabilities with regular landslides, block falls,\ncollapses and crumbling usually triggered after a seismic episode. Earthquakes have an annual average loss\nof over US$ 90 million per year.\n\n\n**B.** **Sectoral and Institutional Context**\n\n7. **The North-East of Morocco is a lagging region, with substantial development challenges and regional**\n**disparities.** This area encompasses eleven provinces <sup>14</sup> [^14: Including Oujda-Angad, Nador, Berkane, Driouch, Taourirt, Figuig, Jerada, Guercif, Al Hoceima, Taza, and Taounate.] spreading over predominantly the Oriental\nadministrative region with the addition of the provinces of Al Hoceima, Taza and Taounate. It hosts a\npopulation of about 3.5 million inhabitants <sup>15</sup> [^15: HCP, latest national population census (2014).] (around 10 percent of Morocco’s total population). The\nOriental administrative region ranks in fifth position in the national poverty rankings with a relative poverty\nrate of around 18 percent (25 percent in rural areas and 14 percent in urban areas) compared with the\nnational rate of around 14 percent. <sup>16</sup> [^16: HCP.] According to the latest regional data available, <sup>17</sup> [^17: HCP (2020).] the unemployment\nrate of the Oriental administrative region stands at around 20.7 percent compared to 11.9 percent\nnationwide. This stems from the region having suffered from long-standing socio-economic difficulties\nbrought about by drought and other climate-linked and natural disaster events, low agglomeration effects\ndue to low population density (except for a few areas), the depletion of its mineral resources, its\nunderdeveloped industrial base, a large informal sector, and geopolitical factors. For the vulnerable and the\npoor, the consequences linked to spatial disparities in the North-East region are manifold, resulting\n\nMention: \"national population census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"HCP census supplies population totals used to describe the Oriental region and poverty context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000234:14:1", "occurrence_id": "b19888ab072714da99096ac7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  In particular, the Rif is mostly affected by soil instabilities with regular landslides, block falls,\ncollapses and crumbling usually triggered after a seismic episode. Earthquakes have an annual average loss\nof over US$ 90 million per year.\n\n\n**B.** **Sectoral and Institutional Context**\n\n7. **The North-East of Morocco is a lagging region, with substantial development challenges and regional**\n**disparities.** This area encompasses eleven provinces <sup>14</sup> [^14: Including Oujda-Angad, Nador, Berkane, Driouch, Taourirt, Figuig, Jerada, Guercif, Al Hoceima, Taza, and Taounate.] spreading over predominantly the Oriental\nadministrative region with the addition of the provinces of Al Hoceima, Taza and Taounate. It hosts a\npopulation of about 3.5 million inhabitants <sup>15</sup> [^15: HCP, latest national population census (2014).] (around 10 percent of Morocco’s total population). The\nOriental administrative region ranks in fifth position in the national poverty rankings with a relative poverty\nrate of around 18 percent (25 percent in rural areas and 14 percent in urban areas) compared with the\nnational rate of around 14 percent. <sup>16</sup> [^16: HCP.] According to the latest regional data available, <sup>17</sup> [^17: HCP (2020).] the unemployment\nrate of the Oriental administrative region stands at around 20.7 percent compared to 11.9 percent\nnationwide. This stems from the region having suffered from long-standing socio-economic difficulties\nbrought about by drought and other climate-linked and natural disaster events, low agglomeration effects\ndue to low population density (except for a few areas), the depletion of its mineral resources, its\nunderdeveloped industrial base, a large informal sector, and geopolitical factors. For the vulnerable and the\npoor, the consequences linked to spatial disparities in the North-East region are manifold, resulting\n\nMention: \"regional data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Regional data provide unemployment estimates for the Oriental administrative region.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:3:1", "occurrence_id": "0f5aca5dc0b210f8461afe48", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  provided through\nformal and informal systems with private sector involvement, and that critical scientific and technical\nskills should be built at the secondary and tertiary education levels. The 2018 Malawi Country Economic\nMemorandum (CEM), cites low levels of education <sup>4</sup> [^4: According to the 2018 CEM, two thirds of the labour force have not completed primary education and another 25 percent have not progressed past\nthe primary school education.] as a main reason for low formal wage employment,\nand estimates that the unemployment rate is around 20 percent. The CEM indicates that there has been a\nshift towards employment in the service sector, but about 54 percent are self-employed, and mostly\noperating in the agriculture sector. The fourth Integrated Household Survey (IHS-4) indicates that nonfarm sector employment is low, with the number of workers employed in the industrial sectors declining\nin the period between 2004 and 2016. Further, according to the 2014 Enterprise survey, employment\ngrowth in Malawi in the period between 2011 and 2013 was only at 3.2 percent, which is much lower than\nthe average for Africa at 6.7 percent growth during the same period, and lower than the 9.5 percent growth\nin Malawi between 2006 and 2008. Evidence suggests several causes for the declining employment\ngrowth, including low productivity returns from the agricultural sector and limited opportunities for nonfarm employment.\n\n**5.** **Non-farm self-employment presents a promising alternative to reducing poverty.** According to the\n2016 World Bank Poverty Assessment Report, rising non-farm self-employment income was the driving\nforce behind the reduction of rural poverty in Malawi in the period between 2010 and 2013. This income\nwas primarily derived from small scale household activities, including trading, craft services, and the sale\nand processing of agriculture products. These activities however, were unable to translate into sustainable\nhousehold enterprises given the difficulty in raising seed capital and low/limited access to credit <sup>5</sup> .\nAddressing access to finance issues,\n\nMention: \"fourth Integrated Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Integrated Household Survey data inform the assessment of employment, self-employment, and rural poverty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:3:1", "occurrence_id": "a48c68809062b8e41919ad80", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  provided through\nformal and informal systems with private sector involvement, and that critical scientific and technical\nskills should be built at the secondary and tertiary education levels. The 2018 Malawi Country Economic\nMemorandum (CEM), cites low levels of education <sup>4</sup> [^4: According to the 2018 CEM, two thirds of the labour force have not completed primary education and another 25 percent have not progressed past\nthe primary school education.] as a main reason for low formal wage employment,\nand estimates that the unemployment rate is around 20 percent. The CEM indicates that there has been a\nshift towards employment in the service sector, but about 54 percent are self-employed, and mostly\noperating in the agriculture sector. The fourth Integrated Household Survey (IHS-4) indicates that nonfarm sector employment is low, with the number of workers employed in the industrial sectors declining\nin the period between 2004 and 2016. Further, according to the 2014 Enterprise survey, employment\ngrowth in Malawi in the period between 2011 and 2013 was only at 3.2 percent, which is much lower than\nthe average for Africa at 6.7 percent growth during the same period, and lower than the 9.5 percent growth\nin Malawi between 2006 and 2008. Evidence suggests several causes for the declining employment\ngrowth, including low productivity returns from the agricultural sector and limited opportunities for nonfarm employment.\n\n**5.** **Non-farm self-employment presents a promising alternative to reducing poverty.** According to the\n2016 World Bank Poverty Assessment Report, rising non-farm self-employment income was the driving\nforce behind the reduction of rural poverty in Malawi in the period between 2010 and 2013. This income\nwas primarily derived from small scale household activities, including trading, craft services, and the sale\nand processing of agriculture products. These activities however, were unable to translate into sustainable\nhousehold enterprises given the difficulty in raising seed capital and low/limited access to credit <sup>5</sup> .\nAddressing access to finance issues,\n\nMention: \"2014 Enterprise survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Enterprise Survey data provide employment-growth comparisons for Malawi.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:3:1", "occurrence_id": "786c3300eb5884009baacd95", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  provided through\nformal and informal systems with private sector involvement, and that critical scientific and technical\nskills should be built at the secondary and tertiary education levels. The 2018 Malawi Country Economic\nMemorandum (CEM), cites low levels of education <sup>4</sup> [^4: According to the 2018 CEM, two thirds of the labour force have not completed primary education and another 25 percent have not progressed past\nthe primary school education.] as a main reason for low formal wage employment,\nand estimates that the unemployment rate is around 20 percent. The CEM indicates that there has been a\nshift towards employment in the service sector, but about 54 percent are self-employed, and mostly\noperating in the agriculture sector. The fourth Integrated Household Survey (IHS-4) indicates that nonfarm sector employment is low, with the number of workers employed in the industrial sectors declining\nin the period between 2004 and 2016. Further, according to the 2014 Enterprise survey, employment\ngrowth in Malawi in the period between 2011 and 2013 was only at 3.2 percent, which is much lower than\nthe average for Africa at 6.7 percent growth during the same period, and lower than the 9.5 percent growth\nin Malawi between 2006 and 2008. Evidence suggests several causes for the declining employment\ngrowth, including low productivity returns from the agricultural sector and limited opportunities for nonfarm employment.\n\n**5.** **Non-farm self-employment presents a promising alternative to reducing poverty.** According to the\n2016 World Bank Poverty Assessment Report, rising non-farm self-employment income was the driving\nforce behind the reduction of rural poverty in Malawi in the period between 2010 and 2013. This income\nwas primarily derived from small scale household activities, including trading, craft services, and the sale\nand processing of agriculture products. These activities however, were unable to translate into sustainable\nhousehold enterprises given the difficulty in raising seed capital and low/limited access to credit <sup>5</sup> .\nAddressing access to finance issues,\n\nMention: \"2018 Malawi Country Economic\nMemorandum\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Country Economic Memorandum provides education, employment, and productivity context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:3:1", "occurrence_id": "7b07744be64610d7f756f06a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  provided through\nformal and informal systems with private sector involvement, and that critical scientific and technical\nskills should be built at the secondary and tertiary education levels. The 2018 Malawi Country Economic\nMemorandum (CEM), cites low levels of education <sup>4</sup> [^4: According to the 2018 CEM, two thirds of the labour force have not completed primary education and another 25 percent have not progressed past\nthe primary school education.] as a main reason for low formal wage employment,\nand estimates that the unemployment rate is around 20 percent. The CEM indicates that there has been a\nshift towards employment in the service sector, but about 54 percent are self-employed, and mostly\noperating in the agriculture sector. The fourth Integrated Household Survey (IHS-4) indicates that nonfarm sector employment is low, with the number of workers employed in the industrial sectors declining\nin the period between 2004 and 2016. Further, according to the 2014 Enterprise survey, employment\ngrowth in Malawi in the period between 2011 and 2013 was only at 3.2 percent, which is much lower than\nthe average for Africa at 6.7 percent growth during the same period, and lower than the 9.5 percent growth\nin Malawi between 2006 and 2008. Evidence suggests several causes for the declining employment\ngrowth, including low productivity returns from the agricultural sector and limited opportunities for nonfarm employment.\n\n**5.** **Non-farm self-employment presents a promising alternative to reducing poverty.** According to the\n2016 World Bank Poverty Assessment Report, rising non-farm self-employment income was the driving\nforce behind the reduction of rural poverty in Malawi in the period between 2010 and 2013. This income\nwas primarily derived from small scale household activities, including trading, craft services, and the sale\nand processing of agriculture products. These activities however, were unable to translate into sustainable\nhousehold enterprises given the difficulty in raising seed capital and low/limited access to credit <sup>5</sup> .\nAddressing access to finance issues,\n\nMention: \"2016 World Bank Poverty Assessment Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Poverty Assessment provides evidence on nonfarm self-employment’s contribution to rural poverty reduction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:5:0", "occurrence_id": "376387912647c44115b69aff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n**_Access to finance is a major obstacle, especially to MSMEs_**\n\n\nSource: Country Economic Memorandum for Malawi\n\n_Limited access to finance, informality and low capacity limits MSMEs growth and bankability_\n\n**9.** **MSMEs play an important role in the economy, particularly in ensuring inclusive growth.** Although\nMSMEs mostly operate in traditional and small-scale ventures, their role in the socio-economic\ndevelopment of a country cannot be underestimated **.** Peterholf, Romeo and Calvey (2014) found out that\nsmall and medium enterprises account for 90 percent of all businesses globally, generate 60 percent of\nemployment worldwide, and provide jobs to roughly 80 percent of workforce in the developed world. The\n2012 FinScope MSME survey emphasizes the important role that the MSME sector plays in an economy,\nincluding boosting government revenue through taxation, providing goods and services to the public,\ncreating employment and reducing poverty. In Malawi, the MSME sector employs over a million people\nand contributes over 30 percent to the national economy.\n\n\n\n**_While MSME sector remains an important part of the economy…_**\n\n\nSource: Malawi 2012 MSME and 2014 FinScope Survey\n\n\n\n**_…they are largely financially excluded, and have low capability_**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n55\n\n\n\nBanked\n\n\nOther non ban\n\n\nInformal\n\n\nExcluded\n\n\n\n0 20 40 60\n\n\n\n**10.** **MSMEs in Malawi are generally very small, young, mostly located in rural areas, and informal.**\nAccording to the 2012 FinScope survey, 59 percent of the total number of firms in Malawi are individual\nentrepreneurs. The remaining 41 percent generate employment, but mostly belong to the microenterprise\ncategory. Over 50 percent of existing MSMEs are at startup phase or have existed for less than 5 years.\nThe majority of MSMEs are based in rural areas (\n\nMention: \"2012 FinScope MSME survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"FinScope survey measures financial inclusion and MSME characteristics, employment, and poverty-related outcomes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:5:0", "occurrence_id": "75579ff2924dcc44d70cbbe6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n**_Access to finance is a major obstacle, especially to MSMEs_**\n\n\nSource: Country Economic Memorandum for Malawi\n\n_Limited access to finance, informality and low capacity limits MSMEs growth and bankability_\n\n**9.** **MSMEs play an important role in the economy, particularly in ensuring inclusive growth.** Although\nMSMEs mostly operate in traditional and small-scale ventures, their role in the socio-economic\ndevelopment of a country cannot be underestimated **.** Peterholf, Romeo and Calvey (2014) found out that\nsmall and medium enterprises account for 90 percent of all businesses globally, generate 60 percent of\nemployment worldwide, and provide jobs to roughly 80 percent of workforce in the developed world. The\n2012 FinScope MSME survey emphasizes the important role that the MSME sector plays in an economy,\nincluding boosting government revenue through taxation, providing goods and services to the public,\ncreating employment and reducing poverty. In Malawi, the MSME sector employs over a million people\nand contributes over 30 percent to the national economy.\n\n\n\n**_While MSME sector remains an important part of the economy…_**\n\n\nSource: Malawi 2012 MSME and 2014 FinScope Survey\n\n\n\n**_…they are largely financially excluded, and have low capability_**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n55\n\n\n\nBanked\n\n\nOther non ban\n\n\nInformal\n\n\nExcluded\n\n\n\n0 20 40 60\n\n\n\n**10.** **MSMEs in Malawi are generally very small, young, mostly located in rural areas, and informal.**\nAccording to the 2012 FinScope survey, 59 percent of the total number of firms in Malawi are individual\nentrepreneurs. The remaining 41 percent generate employment, but mostly belong to the microenterprise\ncategory. Over 50 percent of existing MSMEs are at startup phase or have existed for less than 5 years.\nThe majority of MSMEs are based in rural areas (\n\nMention: \"Malawi 2012 MSME and 2014 FinScope Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"FinScope survey data describe MSME financial inclusion and business characteristics in Malawi.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:4:1", "occurrence_id": "b4e068cf98e0993a57dd3f9b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n**8.** **The private sector in Malawi is hindered by significant business environment challenges.** According\nto the 2014 Enterprise survey, the biggest obstacle to the growth of private enterprises in Malawi is access\nto finance. The 2018 Malawi Business Climate Report by the Malawi Confederation of Chambers of\nCommerce and Industry (MCCCI) highlights the same, as well as other challenges such as the unreliable\nutilities (electricity, telecommunication and water), crime and corruption, regulatory uncertainty, and\nprohibitive and limiting policies, including on taxation. Malawi fares poorly in the World Bank Doing\nBusiness (DB) rankings, at 111 <sup>th</sup> place out of 190 countries in 2018. However, the current rank is an\nimprovement over the 164 <sup>th</sup> place achieved in the mid-2000s and reflects the key reforms implemented in\nrecent years, including the establishment of the collateral registry and operationalization of the credit\nreporting system <sup>6</sup> . The country also ranks poorly on the Global Competitiveness Index (GCI) <sup>7</sup>, at position\n129 out of 140 economies in 2018.\n\n\n6 These reforms helped Malawi move up the DB rankings in the Getting Credit Indicator, up to rank 8 in 2018.\n7 <mark>The</mark> _<mark>Global Competitiveness Index</mark>_ <mark>measures the set of institutions, policies, and factors that set the sustainable current and medium-term levels of</mark>\n<mark>economic prosperity.</mark>\n\n\nDec 07, 2018 Page 5 of 17\n\nMention: \"2014 Enterprise survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Enterprise Survey identifies access to finance as the largest obstacle to Malawian private-enterprise growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:4:1", "occurrence_id": "a9951edd145eccea69cd74c8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n**8.** **The private sector in Malawi is hindered by significant business environment challenges.** According\nto the 2014 Enterprise survey, the biggest obstacle to the growth of private enterprises in Malawi is access\nto finance. The 2018 Malawi Business Climate Report by the Malawi Confederation of Chambers of\nCommerce and Industry (MCCCI) highlights the same, as well as other challenges such as the unreliable\nutilities (electricity, telecommunication and water), crime and corruption, regulatory uncertainty, and\nprohibitive and limiting policies, including on taxation. Malawi fares poorly in the World Bank Doing\nBusiness (DB) rankings, at 111 <sup>th</sup> place out of 190 countries in 2018. However, the current rank is an\nimprovement over the 164 <sup>th</sup> place achieved in the mid-2000s and reflects the key reforms implemented in\nrecent years, including the establishment of the collateral registry and operationalization of the credit\nreporting system <sup>6</sup> . The country also ranks poorly on the Global Competitiveness Index (GCI) <sup>7</sup>, at position\n129 out of 140 economies in 2018.\n\n\n6 These reforms helped Malawi move up the DB rankings in the Getting Credit Indicator, up to rank 8 in 2018.\n7 <mark>The</mark> _<mark>Global Competitiveness Index</mark>_ <mark>measures the set of institutions, policies, and factors that set the sustainable current and medium-term levels of</mark>\n<mark>economic prosperity.</mark>\n\n\nDec 07, 2018 Page 5 of 17\n\nMention: \"World Bank Doing\nBusiness (DB) rankings\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Doing Business rankings benchmark Malawi’s business environment and recent reforms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:4:1", "occurrence_id": "c15a23ba8115c31596dad216", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n**8.** **The private sector in Malawi is hindered by significant business environment challenges.** According\nto the 2014 Enterprise survey, the biggest obstacle to the growth of private enterprises in Malawi is access\nto finance. The 2018 Malawi Business Climate Report by the Malawi Confederation of Chambers of\nCommerce and Industry (MCCCI) highlights the same, as well as other challenges such as the unreliable\nutilities (electricity, telecommunication and water), crime and corruption, regulatory uncertainty, and\nprohibitive and limiting policies, including on taxation. Malawi fares poorly in the World Bank Doing\nBusiness (DB) rankings, at 111 <sup>th</sup> place out of 190 countries in 2018. However, the current rank is an\nimprovement over the 164 <sup>th</sup> place achieved in the mid-2000s and reflects the key reforms implemented in\nrecent years, including the establishment of the collateral registry and operationalization of the credit\nreporting system <sup>6</sup> . The country also ranks poorly on the Global Competitiveness Index (GCI) <sup>7</sup>, at position\n129 out of 140 economies in 2018.\n\n\n6 These reforms helped Malawi move up the DB rankings in the Getting Credit Indicator, up to rank 8 in 2018.\n7 <mark>The</mark> _<mark>Global Competitiveness Index</mark>_ <mark>measures the set of institutions, policies, and factors that set the sustainable current and medium-term levels of</mark>\n<mark>economic prosperity.</mark>\n\n\nDec 07, 2018 Page 5 of 17\n\nMention: \"Global Competitiveness Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Global Competitiveness Index ranking provides comparative context for Malawi’s competitiveness.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "99fccbfdb89fd81bf9439ab5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"FinScope Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"FinScope survey appears among diagnostic sources informing the Malawi financial-inclusion project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "a9ccda1be62d25bae45e8616", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"Enterprise Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Enterprise Surveys provide firm-level evidence on the business environment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "2f95ccc906f29169bf02d0d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"MSMEs FinScope survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Planned MSME FinScope survey is expected to provide project baseline data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "43d6d39a39b78b51d3275d0c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"Investment Climate\nAssessment\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Investment Climate Assessment is listed among diagnostic studies supporting project design.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "4250b9267f00f08fb8fc9b8c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"Doing Busines reports\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Doing Business reports are listed among sources informing the project’s business-environment diagnostics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "829373becf538226b6dcfc35", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"WB Poverty Assessment report\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"World Bank Poverty Assessment is listed as background evidence for the project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "f7f9340c0df845334708dc6c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"Financial Sector\nAssessment Program\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Financial Sector Assessment Program is one of the diagnostics anchoring the project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "3309825cbaa995620e5db68b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"Systematic Country Diagnostic\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Systematic Country Diagnostic is listed among the background analyses informing project design.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000279:12:0", "occurrence_id": "968bf8858c5466d60ea2c633", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Inclusion and Entrepreneurship Scaling Project (P168577)\n\n\n    - Some prospective projects will include activities complementary to the planned project focus,\nincluding the Nacala Corridor Regional Trade Project, the Malawi Electricity Access Project, the\nMalawi Platform for Social Support Project, and the Mpatamanga Hydropower Project, and, and the\nLilongwe Bulk Water Supply Guarantee.\n\n\n_Background Analytical Work_\n\n**30.** **The proposed project is anchored by strong diagnostic work** . This includes the Financial Sector\nAssessment Program (FSAP), the FinScope Survey, the Enterprise Surveys, the Investment Climate\nAssessment (ICA), the Doing Busines reports, the Systematic Country Diagnostic (SCD), the Country\nEconomic Memorandum (CEM), the WB Poverty Assessment report and the upcoming Country\nPartnership Framework (CPF) currently under preparation. An MSMEs FinScope survey which will be\ncarried out during the financial year is expected to provide the project with data and baseline on MSMEs.\nThe feasibility study on Special Economic Zones (SEZs) currently being conducted, will have synergies\nwith the project. A feasibility study on agriculture insurance and agriculture finance will complement the\nproject. An analytical work under the Competitive Industries and Innovation Program (CIIP) on MSMEs\ntechnology adoption readiness <sup>35</sup>, and a project preparation advance (PPA) on the entrepreneurship\necosystem in Malawi will provide valuable inputs and baseline to the proposed project. The Mobilizing\nLong-Term Finance for Infrastructure Advisory Services and Analytics (ASA), aims to identify financial\nand non-financial constraints limiting availability of long-term finance especially for infrastructure in\nMalawi.\n\n_Some Lessons from Similar Programs_\n\n**31.** **World Bank Kenya Industry and Entrepreneurship Project:** This project aimed at focusing on\nbuilding intermediaries’ capacity by using competitive performance contract elements to attract the best\nstartups and talent, in addition to\n\nMention: \"Country\nEconomic Memorandum\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Country Economic Memorandum is listed among the analytical inputs to the project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000293:5:1", "occurrence_id": "21397fab67a19b57d2b94cf4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ario,_ 12 to 14 year-olds), upper secondary grades 10-12 ( _segundo ciclo de secundario_, 15-17\nyear-olds). However, before even arriving in the education system, many Angolan children are already at a disadvantage.\nFirst, the prevalence of stunting among children is 38 percent, likely causing cognitive delays right at the start. Second,\nopportunities for engaging in early learning in early childhood centers, or other structures or activities fostering early\nchildhood development such as early stimulation activities, are almost non-existent. Only an estimated 24 percent of 5\nyear-olds are enrolled in kindergarten. <sup>6</sup> [^6: UNICEF, 2019.] Finally, a high prevalence of tape worms lead to nutritional disorders causing\nstunting, which can impact education outcomes. Yet there is a very low capacity for rolling out and managing de-worming\nprograms.\n\n\n**14.** **Teachers have low content knowledge, high absenteeism, and low motivation.** The Service Delivery Indicator (SDI)\nsurvey of 2016 showed that, during unannounced visits, teachers were absent nearly 30 percent of the time. An\nadditional 17 percent of teachers were found to be at school but not in the classroom, resulting in a total of about 36\npercent of classrooms without a teacher on any given day. Moreover, even when teachers are present, their mastery of\nthe content of the curriculum that they are supposed to be teaching was found to be extremely low. Whether testing for\ncontent in math or language, or for pedagogical knowledge of teaching practices, teachers scored on average less than\n20 percent. This reveals the great degree to which teacher policies that work to attract, select, support, and deploy\nteachers are ineffective\n\n\n**15.** **Most Angolan children probably do not speak Portuguese as their mother tongue though this is the language used by**\n**teachers in school** . Though Portuguese is Angola’s\n\nMention: \"Service Delivery Indicator (SDI)\nsurvey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Service Delivery Indicator survey measures teacher attendance, classroom presence, and subject knowledge.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000316:5:1", "occurrence_id": "93648644731b26ffb9b11133", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the Sava River Flood Forecasting System in 2018.\n\n\n7. **In addition to being part of the EU Core Trans-European Transport Network (TEN-T), the Sava is**\n**subject to the 1996 European Agreement on Main Inland Waterways of International Importance**\n**(AGN).** This agreement designated the Sava River as an international waterway Class IV, a standard that\nmandates the provision of safe navigation conditions for vessels up to 1,500 tons in capacity and a draft\nof 2.5 m, over a period of at least 240 days per year. Operationalizing this mandate requires the consistent\nprovision of least available depth (LAD) levels of 2.7 m. At present, however, these conditions are not met.\nSpecifically, the Sava meets Class IV standard only through approximately the last 103 river km of its\nfairway—that is, at its most downstream and busiest section, between Šabac and Belgrade, all within\nSerbia. Upstream from Šabac, while there are sections that remain at Class IV, the river is operationally\nconsidered Class III standard, as navigation conditions are ultimately dictated by the weakest links in a\ngiven portion of the corridor, and the presence of bottlenecks—shoals, obstacles to navigation, sharp\nbends, and the like—limits corridor navigability even if river sections elsewhere nominally comply with\nAGN provisions. The Class III standard is consistent with navigation of vessels up to 700 tons in capacity,\nand, as noted earlier, only for approximately 160 days per year in some sections. The as-yet-unfulfilled\ngoals of the AGN agreement offer, in effect, a road map for the Sava River Corridor to meet broader\nEuropean standards for inland waterway connectivity.\n\n\n8. **Despite tangible accomplishments by ISRBC and the FASRB signatories, the continued need for**\n**improvement in water management among Sava-Drina riparian countries demonstrates the challenge**\n\nMention: \"Sava River Flood Forecasting System\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Flood-forecasting system provides hydrological information for Sava River corridor planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000322:2:1", "occurrence_id": "01662029315a6e93e3651a3d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . **Since February 2019, the fiscal, political and security situation of the country has deteriorated.** Weak revenue\nmobilization <sup>4</sup> continues to pose severe constraints to public investments, undermining growth and exacerbating the\neconomy’s vulnerability to shocks. Since May 2019, the parliament has not been able to ratify the nominated Prime\nminister, leaving the country without a fully functioning government. Recurrent mass demonstrations, the uncertain\npolitical situation and persistent security challenges are hampering the country’s growth and development prospects.\n\n\nSectoral and Institutional Context\n\n4. **Haiti is urbanizing very fast, in an uncoordinated and unregulated manner, resulting in over-crowded cities with**\n**poor livability.** Between the year 2000 and the year 2016, the urban population grew 5 percent on average annually.\nEstimates from the recent Haiti Urbanization Review <sup>5</sup> [^5: This section draws heavily on Lozano-Gracia & Garcia Lozano (2017), Haitian Cities: action for today with an eye on tomorrow] suggest that 64 percent of the population lives in urban areas,\nmaking it the 4 <sup>th</sup> most urbanized country in Latin America and the Caribbean. Haitian cities are overcrowded,\naccumulating wide gaps in urban infrastructure and services and are far from being livable places. As many as 35\npercent of urban residents lack access to clean water, and only a small fraction of urban land is dedicated to road\ninfrastructure and open space, limiting mobility and places for human interaction. More than half of urban areas are\n\n\n1 CPF 2015-2019\n2 Extreme poverty declined from 31 percent in 2000\n3 Climate projections for the Caribbean estimate that temperatures could rise from between 0.5 to 2.3 °C by 2060, possibly leading to cyclonic events of increased\nduration and intensity.\n4 Haiti has one of the lowest domestic resource-mobilization rates in the Western Hemisphere. At just 12.6 percent of GDP in 2018.\n5 This section draws heavily on Lozano-Gracia &\n\nMention: \"Haiti Urbanization Review\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Haiti Urbanization Review supplies estimates of urban population share and infrastructure gaps.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000322:2:0", "occurrence_id": "4a14854243f23dd1cfd5ad14", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCap Haitien Urban Development Project (P168951)\n\n\n\n\n\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n\n1. **Haiti’s geography, people, and history provide it with many opportunities.** The third largest Caribbean nation by\narea and population (11 million in 2017), Haiti has an illustrious early history, as the first independent nation in the\nregion. It is close to major markets, has a young labor force, a dynamic diaspora, and substantial geographic, historical,\nand cultural assets. The country possesses untapped markets and a pent-up demand for the private sector to explore,\nincluding agribusiness, light manufacturing, and tourism <sup>1</sup> [^1: CPF 2015-2019] .\n\n2. **Despite these opportunities, Haiti remains the poorest country in the Western hemisphere, suffers from recurrent**\n**episodes of institutional instability and is highly exposed to natural hazards.** The country’s GDP per capita was only\nUS$766 in 2017 and, 24 percent of the population was still living in extreme poverty in 2012 <sup>2</sup> [^2: Extreme poverty declined from 31 percent in 2000] . Historically, political\nviolence and instability have been both a symptom and a driver of fragility in Haiti. The social contract between the\nGovernment and its citizens remains week, as over the past decades, there has been little improvement in living\nconditions, service provision and enforcement of rule of law. Furthermore, over 93 percent of its surface and more\nthan 96 percent of the population are exposed to two or more hazards. Climate change is expected to increase the\nfrequency and severity of hydro-meteorological hazards <sup>3</sup> [^3: Climate projections for the Caribbean estimate that temperatures could rise from between 0.5 to 2.3 °C by 2060, possibly leading to cyclonic events of increased\nduration and intensity.] .\n\n3. **Since February 2019\n\nMention: \"Climate projections for the Caribbean\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Climate projections inform risk scenarios for temperature increases and cyclonic hazards in Haiti.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000324:2:1", "occurrence_id": "3be17f5c43635d3623bc775d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -km and per capita income of US$1,480 in 2017, well above the lower middle-income country**\n**category threshold which it crossed in FY14** . During recent years, economic conditions improved in the country. However,\nheadline inflation increased to 5.8 percent in FY18, from 5.4 percent in FY17, reflecting increases in food prices due to\nsupply shocks. Fiscal deficit was contained at around 4 percent of Gross Domestic Product (GDP) in FY17. The FY18 budget\ntargets 5 percent deficit with 26.2 percent growth in expenditures. The current account balance turned into a deficit\nequivalent to 0.6 percent of GDP in FY17. The GDP grew well above the average for developing countries in recent years,\naveraging 6.5 percent since 2010, with an officially projected growth of 7.65 percent in FY18, driven by manufacturing and\nservices. Progress on reducing extreme poverty and boosting shared prosperity through human development and\nemployment generation has continued with the poverty incidence based on the international $1.90 per capita per day\npoverty line (measured based on the Purchasing Power Parity exchange rate) declining from 44.2 percent in 1991 to a\n13.8 percent in 2016 (latest available poverty data). Bangladesh’s performance against the Millennium Development Goals\n(MDG) goals was impressive against the South Asia Region average for most of the indicators. Such progress\nnotwithstanding, the pace of poverty reduction and the rate of job creation has slowed since 2010. Bangladesh needs\nmore effort in improving its growth rate to meet its target of moving up the middle-income rankings by 2021 and\neliminating poverty by 2030. For accelerating private sector-led growth with improved investment climate, the key\n\n\nOct 29, 2018 Page 3 of 11\n\nMention: \"poverty data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Poverty-rate indicator provides current context on poverty incidence and vulnerability in the country.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000324:5:0", "occurrence_id": "079edd51c5f340a415c73125", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHigher Education Acceleration and Transformation Project (P168961)\n\n\nmonitoring strategic institutional development plans consistent with the National Higher Education Plan; and (c)\nincreasing number of full-time academic staff members with at least a Master’s degree in priority degree programs for\neconomic development.\n\n\n11. **Throughout the region, higher education remains a source of active public debate and community engagement.**\nOver the last decade or so, universities are starting quality assurance mechanisms to engage faculty, students and labor\nmarket representatives in gathering stakeholder feedback and inputs on teaching learning environment across\ndepartments. In Bangladesh, quality assurance cells were established across public and private universities and are\nanchored in university governance under the Bangladesh Accreditation Council Act 2017. Universities also maintain strong\nparticipative governance structures on which faculty have a leading voice. Despite these structures, important cultural\nand institutional barriers to meaningful community engagement remain, particularly for students and women. The share\nof women in university governance or among vice-chancellors remains too low, while student engagement remains seen\nas a risk, rather than an opportunity for the system to improve.\n\n\n12. **The changing nature of work, with on-set of the fourth industrial revolution, has given rise to new and emerging**\n**education development concerns especially in aspects of sustained graduate employability and technological readiness** .\nIn Bangladesh, the unemployment rate among tertiary education graduates stood at 11 percent, much higher than the\nnational average rate of around 4 percent in 2017. Gender disparities in employment outcomes among tertiary graduates\nare quite pronounced with female unemployment rate (21 percent) nearly three times as high as high males (8 percent). <sup>3</sup> [^3: Bangladesh Labor Force Survey 2013]\nIn Afghanistan such disparities are also pronounced as the unemployment among female graduates (9.3 percent) is almost\ndouble that of males (5 percent). <sup>4</sup> In the meantime, employers have long been struggling\n\nMention: \"Bangladesh Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Bangladesh Labor Force Survey provides employment and unemployment context for tertiary graduates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000344:3:2", "occurrence_id": "dd8412bade6abbf43f62cbbb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . A poverty\nrate at the US$5.50 per day line is 10.7 percent or 1.3 million people in the city. Furthermore, more than 388,000\nfamilies live in urban slums ( _favela_ ), informal communities without official land titles.\n\n\nSectoral and Institutional Context\n\n\n**São Paulo is the fifth most congested city in the world** <sup>**4**</sup> **and traffic congestion costs the city about eight percent**\n**of the metropolitan area GDP in 2013 equivalent, or more than one percent of Brazil’s GDP** <sup>**5**</sup> **.** This situation has\nbeen compounded by growing motorization rates (8.9 million cars registered in São Paulo municipality, a 27\n\n\n1 US$1,90 per day\n2 World Bank calculations based on SEDLAC, for 2017\n3 World Bank calculations based on SEDLAC, for 2017\n[4 INRIX 2018 Global Traffic Scorecard (http://inrix.com/scorecard).](http://inrix.com/scorecard)\n5 Nota Técnica, Diretoria de Desenvolvimento Economico #3, July 2014 (FIRJAN)\n\n\nDec 04, 2019 Page 4 of 13\n\nMention: \"SEDLAC\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"SEDLAC provides poverty estimates used in the urban-development discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000344:3:2", "occurrence_id": "5b0e88e7974ac8a96f9a9aa0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . A poverty\nrate at the US$5.50 per day line is 10.7 percent or 1.3 million people in the city. Furthermore, more than 388,000\nfamilies live in urban slums ( _favela_ ), informal communities without official land titles.\n\n\nSectoral and Institutional Context\n\n\n**São Paulo is the fifth most congested city in the world** <sup>**4**</sup> **and traffic congestion costs the city about eight percent**\n**of the metropolitan area GDP in 2013 equivalent, or more than one percent of Brazil’s GDP** <sup>**5**</sup> **.** This situation has\nbeen compounded by growing motorization rates (8.9 million cars registered in São Paulo municipality, a 27\n\n\n1 US$1,90 per day\n2 World Bank calculations based on SEDLAC, for 2017\n3 World Bank calculations based on SEDLAC, for 2017\n[4 INRIX 2018 Global Traffic Scorecard (http://inrix.com/scorecard).](http://inrix.com/scorecard)\n5 Nota Técnica, Diretoria de Desenvolvimento Economico #3, July 2014 (FIRJAN)\n\n\nDec 04, 2019 Page 4 of 13\n\nMention: \"INRIX 2018 Global Traffic Scorecard\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"INRIX traffic scorecard supplies comparative congestion data for São Paulo.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000324:5:2", "occurrence_id": "b170700e46687cddfd6e7919", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: e.g.\nfrom the garment sector, refugee populations and minorities) and prepares them through high quality and rigorous\nundergraduate programs as high skilled professionals for the job market. In addition to subject specific specialization,\nAUW places an emphasis on confidence-building and higher order cognitive and soft skills development, including\nproblem-solving, teamwork, communication and negotiation skills. It manages to provide internships to all its students,\nleading to high graduate employment in top employers, while many graduates continue to pursue postgraduate degrees\nin top global universities. The AUW provides an exceptional example of effectively promoting female higher education\n\n\n3 Bangladesh Labor Force Survey 2013\n\n4 Afghanistan HIES 2012.\n\n\nOct 29, 2018 Page 6 of 11\n\nMention: \"Bangladesh Labor Force Survey 2013\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Bangladesh labor-force survey provides graduate employment comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000324:5:2", "occurrence_id": "e7b79a0b38bf478ad944990c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: e.g.\nfrom the garment sector, refugee populations and minorities) and prepares them through high quality and rigorous\nundergraduate programs as high skilled professionals for the job market. In addition to subject specific specialization,\nAUW places an emphasis on confidence-building and higher order cognitive and soft skills development, including\nproblem-solving, teamwork, communication and negotiation skills. It manages to provide internships to all its students,\nleading to high graduate employment in top employers, while many graduates continue to pursue postgraduate degrees\nin top global universities. The AUW provides an exceptional example of effectively promoting female higher education\n\n\n3 Bangladesh Labor Force Survey 2013\n\n4 Afghanistan HIES 2012.\n\n\nOct 29, 2018 Page 6 of 11\n\nMention: \"Afghanistan HIES 2012\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Afghanistan HIES provides household-income and expenditure context for education and employment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000344:6:2", "occurrence_id": "70c7daabff36952191c70404", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of bus operation in the Aricanduva corridor will require not only new**\n**infrastructure and equipment, but also enhancing the existing management and monitoring capacity of the**\n**MGSP, including SPTrans.** SPTrans oversees private bus operators under concession and monitors their\noperational performance through its bus Operation Control Center (OCC). However, the current platform of the\nOCC does not have the required capacity for monitoring key service performance indicators effectively and in real\n\n\n12 While the detailed route and stations of Line 2 have not been defined, there would a connection between the Aricanduva\nBRT and the extended Line 2 around Vila Nova Manchester.\n13 According to São Paulo Social Vulnerability Indicator developed by the São Paulo State, which is an index combining\nsocioeconomic and demographic factors of each household, such as income per capita, percentage of the household member\nwith income below the half of the minimum salary, percentage of literate household members, percentage of young member\nbetween 10-29, etc. The index classifies the five categories of social vulnerability: very low, low, medium, high, and very high.\n14 CadUnico is a public registration system for those who require any social assistance from the government.\n15 Patricia Galvão Institute\n16 Technical instruction for accessibility for architecture design, Municipal Secretariat of People with Disabilities:\nhttps://www.prefeitura.sp.gov.br/cidade/secretarias/upload/pessoa_com_deficiencia/manual%20acessibilidade.pdf\n\n\nDec 04, 2019 Page 7 of 13\n\nMention: \"São Paulo Social Vulnerability Indicator\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Social Vulnerability Indicator summarizes household socioeconomic and demographic conditions for local targeting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000346:5:1", "occurrence_id": "bbb9787be4403d3ebe87188e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and\nemergencies that fulfil specific functions in the water sector. Inter-governmental sector coordination has\ntaken the shape of an inter-ministerial water council, headed by the Prime Minister. The last decade saw\nan impressive development of the legal framework, strategies, action plans and policies, as well as\nnotable successes in sub-sectors. Yet, institutional capacity to deliver on mandates and integrated water\nresources planning remains weak across line Ministries and enforcement of plans and rules remains\nhaphazard. The lack of continuous and dependable hydrometeorological data and information systems\nmake science-based decision making difficult; the institutional capacity for carrying out core water\nresources functions and for cross-sector collaboration is weak; and the infrastructure platform is low.\nSince independence, the country has not had an investment plan for water resources infrastructure,\nriver basin plans, real-time monitoring, and it has not constructed storage dams. Its dam safety\nmonitoring is also haphazard.\n\n9. **Kosovo is at an important point in its development.** If unabated, demographic and climate trends will\ncontinue to deteriorate the resources base. Moving from fragmented, sector specific actions to joint\ndecisions and concrete investments and measures will set Kosovo on a more robust water secure\ntrajectory. This requires decisive and strategic action. Kosovo needs to take a multi-faceted, integrated\napproach to address the above-mentioned challenges. It needs to improve the **information** base for\nplanning and decision support. This relates to spatial data, climate data, economic activity and plans.\nKosovo should improve its **institutional** capacity for modern, shared-vision basin (and regional\ndevelopment) planning and management, and enhance adoption of sustainable land and water\n\n\nApr 25, 2019 Page 6 of 12\n\nMention: \"hydrometeorological data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Hydrometeorological observations support water-resource planning and real-time monitoring.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000346:5:1", "occurrence_id": "5de0df7225052eaa3757892c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and\nemergencies that fulfil specific functions in the water sector. Inter-governmental sector coordination has\ntaken the shape of an inter-ministerial water council, headed by the Prime Minister. The last decade saw\nan impressive development of the legal framework, strategies, action plans and policies, as well as\nnotable successes in sub-sectors. Yet, institutional capacity to deliver on mandates and integrated water\nresources planning remains weak across line Ministries and enforcement of plans and rules remains\nhaphazard. The lack of continuous and dependable hydrometeorological data and information systems\nmake science-based decision making difficult; the institutional capacity for carrying out core water\nresources functions and for cross-sector collaboration is weak; and the infrastructure platform is low.\nSince independence, the country has not had an investment plan for water resources infrastructure,\nriver basin plans, real-time monitoring, and it has not constructed storage dams. Its dam safety\nmonitoring is also haphazard.\n\n9. **Kosovo is at an important point in its development.** If unabated, demographic and climate trends will\ncontinue to deteriorate the resources base. Moving from fragmented, sector specific actions to joint\ndecisions and concrete investments and measures will set Kosovo on a more robust water secure\ntrajectory. This requires decisive and strategic action. Kosovo needs to take a multi-faceted, integrated\napproach to address the above-mentioned challenges. It needs to improve the **information** base for\nplanning and decision support. This relates to spatial data, climate data, economic activity and plans.\nKosovo should improve its **institutional** capacity for modern, shared-vision basin (and regional\ndevelopment) planning and management, and enhance adoption of sustainable land and water\n\n\nApr 25, 2019 Page 6 of 12\n\nMention: \"spatial data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Spatial data are needed for planning and water-management decisions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000346:5:1", "occurrence_id": "b1165951cc8fb5f37e441a39", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and\nemergencies that fulfil specific functions in the water sector. Inter-governmental sector coordination has\ntaken the shape of an inter-ministerial water council, headed by the Prime Minister. The last decade saw\nan impressive development of the legal framework, strategies, action plans and policies, as well as\nnotable successes in sub-sectors. Yet, institutional capacity to deliver on mandates and integrated water\nresources planning remains weak across line Ministries and enforcement of plans and rules remains\nhaphazard. The lack of continuous and dependable hydrometeorological data and information systems\nmake science-based decision making difficult; the institutional capacity for carrying out core water\nresources functions and for cross-sector collaboration is weak; and the infrastructure platform is low.\nSince independence, the country has not had an investment plan for water resources infrastructure,\nriver basin plans, real-time monitoring, and it has not constructed storage dams. Its dam safety\nmonitoring is also haphazard.\n\n9. **Kosovo is at an important point in its development.** If unabated, demographic and climate trends will\ncontinue to deteriorate the resources base. Moving from fragmented, sector specific actions to joint\ndecisions and concrete investments and measures will set Kosovo on a more robust water secure\ntrajectory. This requires decisive and strategic action. Kosovo needs to take a multi-faceted, integrated\napproach to address the above-mentioned challenges. It needs to improve the **information** base for\nplanning and decision support. This relates to spatial data, climate data, economic activity and plans.\nKosovo should improve its **institutional** capacity for modern, shared-vision basin (and regional\ndevelopment) planning and management, and enhance adoption of sustainable land and water\n\n\nApr 25, 2019 Page 6 of 12\n\nMention: \"climate data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Climate data are needed to support integrated water-resource planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000357:18:0", "occurrence_id": "197e2394690c13c9f56bc2ab", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLao PDR Financial Sector Safety Net Strengthening (P169194)\n\n\n17. The project is fully aligned with the Country Partnership Framework (CPF) for the Lao People’s\nDemocratic Republic, 2017–2021 (Report No. 110813-LA) and the Systematic Country Diagnostic (SCD)\n(SCD 112241-LA). The SCD identifies strengthening financial sector stability as a top priority, which is\nnecessary to achieve inclusive and sustainable growth. Strengthening the legal and regulatory framework\nin the financial sector is a key imperative under the CPF’s overarching priority to enhance institutional\nquality and creating a rules-based environment. In addition, the proposed project contributes to CPF\nObjective 1.1 ‘supporting financial sector stability’. In alignment with the WBG’s twin goals of ending\nextreme poverty and promoting shared prosperity, the proposed project aims to help increased financial\nsector stability through strengthening DPO’s capacity.\n\n\n18. **Gender.** The project will closely monitor gender aspects of financial inclusion as it relates to\ndeposit insurance. As noted, women have more access to a financial transaction account (32 percent)\nversus men (26 percent). However, only 8 percent of women borrow from a financial institution compared\nto 10 percent of men, which could be due to the larger share of women working in the informal sector\n(Global Findex Database 2017). As no gender-disaggregated data on depositors exists, the project will\ncarry out a baseline deposit insurance public awareness survey, which will help identify potential genderrelated deficiencies which may be addressed through the public awareness strategy (also supported by\nthe project - see performance-based condition [PBC]#12).\n\n\n**II.** **PROJECT DESCRIPTION**\n\n\n**A. Project Development Objective**\n\n**PDO Statement**\n\n\n19. The Project Development Objective (PDO) is to strengthen the financial and institutional\n\nMention: \"Findex Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Global Findex account and borrowing indicators provide gender-disaggregated context for deposit-insurance planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000347:6:1", "occurrence_id": "ef6513893a5a74220bba26ad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  storage reservoir\nin the “Kike-Kremenata” hydro-System, not currently ready to be appraised, and the first phase project\nwill finance the technical, social and environmental studies to allow a more detailed appraisal for the\nsecond phase project.\n\n\n**Component 1: Foundational measures for water security (IDA €6.2 million)**\n\n\n16. **This component will build the foundations for water security in the country, thereby increasing**\n**targeted communities’ resilience to the climate change–induced threat of droughts and build readiness**\n**for major investments that duly consider current and foreseen climate change impacts.** It will support:\n1) national level water resources investment preparation; 2) enhancement of water information system\nfor decision making; and 3) dam operations improvement and safety regulations and measures. These\nactivities will also enable improved implementation of Kosovo’s Climate Change Framework Strategy.\n\n\n**Component 2: Addressing water crisis with catalytic investments (IDA €19.1 million** **and WBIF** <sup>**4**</sup>\n**grant €1 million)**\n\n\n17. **This component aims to catalyze water security investments in the Morava e Binces Basin that**\n**address the immediate challenges of water shortage and other risks exacerbated by climate change**\n\n\n4 Western Balkans Investment Framework (WBIF) is a joint facility of the EU, financial institutions, bilateral donors and the\ngovernments of the Western Balkans. It supports socio-economic development and EU accession across the Western Balkans\nthrough the provision of finance and technical assistance for strategic investments in the energy, environment, social, transport\nand digital infrastructure sectors. The World Bank became a full member of WBIF in June 2019. A recipient executed trust fund\nwill be established.\n\n\nFeb 24, 2020 Page 7 of 13\n\nMention: \"water information system\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Water information system supports decisions on water security and climate-resilient watershed investments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000357:62:0", "occurrence_id": "e8bf40436784027d735a6d2b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLao PDR Financial Sector Safety Net Strengthening (P169194)\n\n|July 2022 - June 2023|Yes|Col3|0.00|Col5|\n|---|---|---|---|---|\n|July 2023 - June 2024<br>|Yes|Yes|0.00||\n|<br>**DLI_TBL_MATRIX**<br>**DLI 18**|<br>DPO Board has approved the public awareness strategy revised based on survey conducted to the public (PBC E.3)|<br>DPO Board has approved the public awareness strategy revised based on survey conducted to the public (PBC E.3)|<br>DPO Board has approved the public awareness strategy revised based on survey conducted to the public (PBC E.3)|<br>DPO Board has approved the public awareness strategy revised based on survey conducted to the public (PBC E.3)|\n|**Type of DLI**|**Scalability**|**Unit of Measure**|**Total Allocated Amount (USD)**|**As % of Total Financing Amount**|\n|Output|No|Yes/No|0.79|0.00|\n|**Period**|**Value**|**Value**|**Allocated Amount (USD)**|**  Formula**|\n|Baseline|No|No|||\n|July 2020 - June 2021|No|No|0.00||\n|July 2021 - June 2022|No|No|0.00||\n|July 2022 - June 2023|Yes|Yes|0.79||\n|July 2023 - June 2024<\n\nMention: \"survey conducted to the public\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Public-awareness survey serves as verification for approval of the financial-sector strategy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000375:3:0", "occurrence_id": "9bf128f884875896a4cc7183", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBurundi Integrated Community Development Project (P169315) – Additional Financing Request 1\n\n\n1. **Burundi continues to face severe and persistent development challenges.** According to the World Bank’s 2024 Macro\nPoverty Outlook for Burundi, around 62 percent of the population lives below the international poverty line of US$2.15\nper day and about 86 percent below the lower-middle-income poverty threshold of US$3.65. Widespread malnutrition\nremains, with stunting affecting 52.8 percent of children under five, chronically malnourished. Livelihood constrains are\ncompounded by gender disparities; despite legal guarantees of gender equality, women, particularly in rural areas\nremain overrepresented in low-paying agricultural jobs that employ more than 85 percent of the labor force. As\nhighlighted in the World Bank’s 2024 Macro Poverty Outlook, Burundi’s economy has been gradually recovering from\nthe 2015 political and economic crisis, although growth remains fragile, and high inflation averaging 25.1 percent over\n2022-2025 has reflected persistent supply constraints, fuel shortages, and wide parallel exchange-rate premium,\neroding purchasing power and weakening food security (higher food and transport costs). Drawing on complementary\npoverty diagnostics, significant regional inequalities persist across Burundi. The northeastern province, particularly\nBuhumuza, remains among the poorest, with poverty rates well above the national average of 62 percent. This province\nfaces challenges such as limited and degraded land, high population density, the presence of multiple refugee camps\n(including Kavumu, Nyankanda, and Bwagiriza Refugee Camps), lack of basic infrastructure, and isolation from major\neconomic centers, all of which constrain agricultural productivity and access to basic services.\n2. **As of January 31, 2026, Burundi was providing protection to approximately 189,925 refugees and asylum seekers,**\n**with approximately 104,000 refugees arriving between January 2025 and January 2026 following the deteriorating**\n**security\n\nMention: \"2024 Macro\nPoverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Macro Poverty Outlook provides poverty, nutrition, inflation, and growth statistics for Burundi.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000375:4:1", "occurrence_id": "4149a5e3c75de53e524d596d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: GVSAN (National Comprehensive Food Security and Nutrition\nAssessment), 41.2 percent of households were food insecure, including 8.9 percent severely food insecure, up from 27.2\npercent in 2021. These national trends create an already fragile environment for refugees who often experience equal\nor more severe levels of food insecurity than host communities. This is reflected in repeated ration cuts for refugees, at\ntimes reduced by 50–75 percent of the recommended daily caloric intake due to humanitarian funding shortages and\nincreasing pressure on limited nutrition supplies in refugee camps. <sup>3</sup> [^3: WFP. 2026. _Burundi – Country Overview_ . Rome: World Food Programme.] Seasonal hunger peaks between October and\nJanuary, coinciding with lean periods and increased child malnutrition. Despite slight improvements, child malnutrition\nremains alarmingly high both nationally and among refugee children ages 6–59 months, who require increased\ntreatment for acute malnutrition amid intermittent shortages of specialized food supplement.\n6. **The 2024 National Nutrition and Mortality Survey (ENSNMB, SMART methodology) found that 52.8 percent of**\n**children under five are stunted (down from 55.8 percent in 2022),** a rate still among the highest globally and far above\nthe World Health Organization (WHO) emergency threshold of 30 percent. Severe stunting declined significantly from\n25 percent in 2022 to 13.6 percent in 2024. Only 28.6 percent of children 6–23 months receive minimum dietary\ndiversity, and just 18.2 percent meet minimum acceptable diet, with nearly half not receiving the recommended meal\nfrequency. Climate change has also become one of the main drivers of this persistent food insecurity and malnutrition\ncrisis. Increasingly erratic rainfall patterns, recurrent droughts, and floods have led to lower and more unstable\nagricultural yields, while soil degradation and shortened growing seasons threaten household food availability. These\nclimatic shocks disproportionately affect smallholder farmers who rely on rain-fed subsistence agriculture, limiting both\nincome and dietary diversity. Moreover, recent findings\n\nMention: \"2024 National Nutrition and Mortality Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National nutrition and mortality survey measures child stunting, dietary diversity, and minimum acceptable diets.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000375:4:0", "occurrence_id": "a7c664c01e4ee84e71e4ae43", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBurundi Integrated Community Development Project (P169315) – Additional Financing Request 1\n\n\n4. **As part of decentralization reform, Burundi’s administrative and institutional landscape has recently undergone**\n**significant restructuring.** In March 2023, the GoB adopted Organic Law No. 1/05, introducing a comprehensive reform\nof the country’s territorial administration. This reform, now fully implemented following the 2025 general elections,\nreduced the number of provinces from 18 to 5 and consolidated the country’s 119 communes into 42 larger\nadministrative entities. The new provinces of Buhumuza, Butanyerera, Burunga, Bujumbura, and Gitega were\nestablished through the merging of former provinces, reshaping the entire administrative configuration of the country.\nThe project-targeted areas that were formerly part of the provinces of Cankuzo, Muyinga, and Ruyigi now belong to the\nnewly established Buhumuza province, while Ngozi has been incorporated into Butanyerera province (see for reference\nmaps in the description of additional financing section below). These changes have redefined the geographic and\ninstitutional landscape in which the project operates, requiring an alignment of Commune Development Plans (CDPs) to\nnewly established communes, adjustments to commune grant allocations, and tailored support to newly merged or\nexpanded communes. With fewer but larger communes, the reform offers an opportunity to strengthen local\ngovernance and improve service delivery, which aligns with the project objectives.\n5. **Alongside these changes, life in Burundi is further shaped by persistent food insecurity, malnutrition, and increasing**\n**climate-related vulnerabilities.** According to the 2023 AGVSAN (National Comprehensive Food Security and Nutrition\nAssessment), 41.2 percent of households were food insecure, including 8.9 percent severely food insecure, up from 27.2\npercent in 2021. These national trends create an already fragile environment for refugees\n\nMention: \"2023 AGVSAN\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"National food-security assessment provides estimates of household food insecurity and severity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000375:4:0", "occurrence_id": "ac3648c5e3434398c79d5b23", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBurundi Integrated Community Development Project (P169315) – Additional Financing Request 1\n\n\n4. **As part of decentralization reform, Burundi’s administrative and institutional landscape has recently undergone**\n**significant restructuring.** In March 2023, the GoB adopted Organic Law No. 1/05, introducing a comprehensive reform\nof the country’s territorial administration. This reform, now fully implemented following the 2025 general elections,\nreduced the number of provinces from 18 to 5 and consolidated the country’s 119 communes into 42 larger\nadministrative entities. The new provinces of Buhumuza, Butanyerera, Burunga, Bujumbura, and Gitega were\nestablished through the merging of former provinces, reshaping the entire administrative configuration of the country.\nThe project-targeted areas that were formerly part of the provinces of Cankuzo, Muyinga, and Ruyigi now belong to the\nnewly established Buhumuza province, while Ngozi has been incorporated into Butanyerera province (see for reference\nmaps in the description of additional financing section below). These changes have redefined the geographic and\ninstitutional landscape in which the project operates, requiring an alignment of Commune Development Plans (CDPs) to\nnewly established communes, adjustments to commune grant allocations, and tailored support to newly merged or\nexpanded communes. With fewer but larger communes, the reform offers an opportunity to strengthen local\ngovernance and improve service delivery, which aligns with the project objectives.\n5. **Alongside these changes, life in Burundi is further shaped by persistent food insecurity, malnutrition, and increasing**\n**climate-related vulnerabilities.** According to the 2023 AGVSAN (National Comprehensive Food Security and Nutrition\nAssessment), 41.2 percent of households were food insecure, including 8.9 percent severely food insecure, up from 27.2\npercent in 2021. These national trends create an already fragile environment for refugees\n\nMention: \"National Comprehensive Food Security and Nutrition\nAssessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Expanded survey title refers to the same national food-security and nutrition assessment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000383:2:0", "occurrence_id": "860fa34275dcc37254d40193", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBD Rural Water, Sanitation and Hygiene for Human Capital Development Project (P169342)\n\n\n|Counterpart Funding|50.00|\n|---|---|\n|Borrowing Agency|50.00|\n\n\n\n\n\n**B. Introduction and Context**\n\n\n1. **Bangladesh’s economy is growing quickly.** During recent years economic conditions improved in the country. GDP\ngrew well above the average for developing countries, averaging 6.5 percent since 2010, with an officially estimated\ngrowth of 7.9 percent in FY18, driven by manufacturing and construction. Per capita income is now US$1,670 (WB\nAtlas method, 2018) which is well above the lower middle-income country category threshold which it crossed in\nFY14.\n\n\n2. **The country has seen significant progress on reducing extreme poverty and boosting shared prosperity, especially**\n**through human development.** The poverty incidence based on the international $1.90 per capita per day poverty\nline (measured on the basis of the Purchasing Power Parity exchange rate) has declined from 44.2 percent in 1991 to\na 14.8 percent in 2016 (latest available poverty data). It is believed such progress was possible partly due to the\ncountry’s focus in building human capital. In 2017, the Human Capital Index of 0.48 for Bangladesh surpassed the\nSouth Asian average and the lower middle-income average in all criteria except for stunting. Bangladesh has lowered\ninfant mortality and increased life expectancy with 97 percent of children likely to survive to the age of 5 and 87\npercent of 15-year-old children likely to survive to the age of 60. Bangladesh performs well in years of schooling with\nan average of 11 years per child. Girls have a higher HCI than boys with higher educational enrollment and\nattainment, as well as a higher probability of survival to age 5 and age 60 and a lower\n\nMention: \"poverty data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Poverty-line indicator underlies national poverty-incidence estimates and progress reporting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000383:2:1", "occurrence_id": "2f3ecc26d8ce71c26e9a74da", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of 60. Bangladesh performs well in years of schooling with\nan average of 11 years per child. Girls have a higher HCI than boys with higher educational enrollment and\nattainment, as well as a higher probability of survival to age 5 and age 60 and a lower risk of stunting. Bangladesh’s\nperformance against the Millennium Development Goals (MDG) goals was also impressive relative to the South Asia\nRegion average for most of the indicators.\n\n\n3. **Such progress notwithstanding, significant human capital development challenges remain as Bangladesh aspires**\n**to meet its target of eliminating poverty by 2030 and attaining the upper middle-income status by 2031.** For\nexample, the learning adjusted years of schooling is just 6.5 years due to the poor quality of education, 36 percent\nof children are afflicted by chronic malnutrition, and nearly half of children under five in the poorest wealth quintile\nare stunted, placing significant limits on human capital development. <sup>1</sup> With 63 percent of the population living in\nrural areas, the population in Bangladesh is predominantly rural, so investments in rural areas are becoming\n\n\n[1 World Bank Data. 2017. Human Capital Index. https://databank.worldbank.org/source/human-capital-index.](https://databank.worldbank.org/source/human-capital-index)\n\n\nDec 19, 2019 Page 3 of 11\n\nMention: \"World Bank Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"World Bank Human Capital Index compares child survival, schooling, and stunting outcomes with regional and income-group benchmarks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000431:4:1", "occurrence_id": "294ce54a4e19cd19abea57da", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nhas already provided fiber optic based broadband connectivity to over 100 schools. Approximately 90 more schools are in\nthe geographical area where network construction is expected to be completed within the calendar year. The Project has\nalso stimulated local economic activity, as seen through the establishment of the first fiber optic-based rural ISP (Racha Net)\nin one region following completion of the backbone network there. The DAIP has trained over 3,500 people across 200\nsettlements on digital literacy and online safety, responding to training needs shared by the connected communities through\nneeds assessment surveys conducted early in the Parent Project’s implementation. <sup>7</sup> [^7: Women headed households, internally displaced persons, persons with disabilities, elderly, and ethnic minorities are identified as vulnerable\npopulations. 70 percent of beneficiaries of the trainings are female, and over 20 percent are above the age of 60 years.] Furthermore, DAIP has adopted a trainthe-trainer approach in its implementation, utilizing local talent in the connected municipalities to deliver trainings and\ncontribute to beneficiary mobilization. Other digital literacy projects like the EU-funded Rural Development through Digital\nInclusion program continue to use these trainers' experience and community engagement for follow-up activities, ensuring\ncontinued support to local populations – a positive outcome of the DAIP.\n\n\n**C. Proposed Development Objective(s)**\n\nOriginal Development Objective\n\n\nTo increase access to affordable broadband internet, and to promote its use by individuals and enterprises, in selected rural\nsettlements.\n\nCurrent Development Objective\n\n\nSame as above.\n\n\n[5 Resolution of the Government of Georgia No. 49, February 21, 2025. See: https://matsne.gov.ge/ka/document/view/6422264?publication=0](https://matsne.gov.ge/ka/document/view/6422264?publication=0)\n\n6 Established by Resolution of the Government of Georgia No. 375, July 29, 2016, updated January 10, 2020, to expand fiber optic backbone\ninfrastructure to unconnected rural settlements with\n\nMention: \"needs assessment surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Needs assessment surveys identify digital-literacy and online-safety training needs in connected communities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000389:3:2", "occurrence_id": "79622a8e59c349c92b56d36d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  because the country is intrinsically poor but because\nthe available resources have been mismanaged and misused largely due to corruption **and lack of**\n**appropriate control and oversight systems** . **One of the main channels of corruption is**\n**procurement** through which public contracts are usually inflated leading to financial losses to the\ncountry. Considering that approximately 60 to 70 % of budget expenditure passes through the\nprocurement process, these losses can be massive. There is therefore a dire need to strengthen\nprocurement institutions and systems to improve transparency and accountability in procurement. **A**\n**key impediment in achieving efficiency and effectiveness of public investments is the lack of**\n**adequate Procurement, Environment and Social (PES) systems capacity in the country** which\nare major factors in improving governance and delivery.\n\n\nSectoral and Institutional Context\n**_Procurement_**\n\n5. The Federal Government, with the support of Development Partners, particularly the World\nBank, has been implementing public procurement reforms based on the recommendations of the\nCountry Procurement Assessment Report (CPAR) 2000 **.** Considering Nigeria’s federal structure and\nconstitution, the reforms being implemented at the Federal level are not adopted automatically by the\n\n\nFeb 18, 2019 Page 4 of 12\n\nMention: \"Country Procurement Assessment Report\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Country Procurement Assessment Report provides the diagnostic basis for federal procurement reforms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000431:6:0", "occurrence_id": "ee9306e389916226e91bdfa7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLog-In Georgia (P169698) – Additional Financing Request 1\n\n\n80 km to cross-border interconnection points in three locations, allowing additional interconnectivity with\ntelecommunications networks in Armenia, Azerbaijan, and Türkiye.\n\n\n**b.** **Active Infrastructure Procurement (US$ 8.5 million equivalent).** The AF will finance procurement of the final\n\ntype of active equipment necessary for the network's efficient operation – Dense Waver Division Multiplexing\n(DWDM) equipment. This equipment is essential for optimizing data transmission over larger distances and\nensuring high-capacity connectivity is available at key aggregation points of the network. The deployment of\nDWDM will be launched once all passive infrastructure contracts are implemented.\n\n\n**_Figure 1: Fiber Optic Middle Mile Infrastructure Deployed, Under Construction, and Planned_**\n\n\nLegend: Green – Active; Dark Blue – Under Construction; Light Blue – Supported by AF\n\nSource: Open Net Network Map (www.opennet.ge)\n\n\n**<u>Component 3: Project implementation support (US$ 0.5 million equivalent)</u>**\n\n\n11. This Component will support Project management tasks, including financial management and procurement,\nmonitoring and evaluation, environmental and social framework implementation, communication and outreach, and other\ntasks related to the Project's overall administration.\n\n\n12. **Other changes include** an extension of the closing date of the Parent Project by 24 months to December 31, 2027,\nto ensure satisfactory achievement of the PDO. The results framework (RF) has been revised to include new digital Corporate\nResults Indicators (CRI) aligned with the new World Bank Group Corporate Scorecard, new indicators to monitor private\ncapital enabled and improvements in internet quality, as well as new intermediate outcome indicators to allow greater\ndisaggregation of data and more granular monitoring of component 2 activities. The RF has also been revised to reflect the\nextension of the closing date\n\nMention: \"Open Net Network Map\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Open Net Network Map depicts deployed, under-construction, and planned fiber-optic infrastructure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000452:16:0", "occurrence_id": "953d4152822a99c863887c64", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSenegal, Project for the Improvement of Education System Performance (P169916)\n\n\n9. **Learning poverty (LP), which is calculated as the share of children who have not achieved minimum reading**\n**proficiency by age 10, adjusted by the proportion of children who are out-of-school, is high in Senegal** <sup>**11**</sup> [^11: <mark>“World Bank. 2019. Ending Learning Poverty: What Will It Take? World Bank, Washington, DC. © World Bank.</mark>\n<mark>https://openknowledge.worldbank.org/handle/10986/32553 License: CC BY 3.0 IGO</mark>] **.**\nSenegal has a LP rate of 74 percent. Large-scale learning assessments in Senegal indicate that 65 percent of\nstudents do not achieve the minimum proficiency level at the end of primary school <sup>12</sup> [^12: This calculation is proxied by data from grade 6 in 2014 from the PASEC. Better performance in the 2019 PASEC may result in a lower\nlearning poverty rate, although out-of-school rates remain high.], and this is further\ncompounded by the high out-of-school rate, which shows 26 percent of primary school students are out-ofschool. The LP rate is slightly higher for boys than girls (74.7 percent against 73.5 percent). This result is a\ncomposition of two effects: the share of out-of-school children is higher for boys (28.8 percent) than for girls\n(22.6 percent). However, boys are less likely to be below the minimum proficiency at the end of primary school\n(64.4 percent) than girls (65.8 percent). LP in Senegal is 12.6 percentage points better than the average for the\nSSA region and 19 percentage points worse than the average for lower middle-income countries.\n\n\n10. **Disproportionately,\n\nMention: \"data from grade 6 in 2014\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Grade-six assessment data support estimates of student learning proficiency and learning poverty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000452:16:0", "occurrence_id": "c99a661ff36325d4186bd384", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSenegal, Project for the Improvement of Education System Performance (P169916)\n\n\n9. **Learning poverty (LP), which is calculated as the share of children who have not achieved minimum reading**\n**proficiency by age 10, adjusted by the proportion of children who are out-of-school, is high in Senegal** <sup>**11**</sup> [^11: <mark>“World Bank. 2019. Ending Learning Poverty: What Will It Take? World Bank, Washington, DC. © World Bank.</mark>\n<mark>https://openknowledge.worldbank.org/handle/10986/32553 License: CC BY 3.0 IGO</mark>] **.**\nSenegal has a LP rate of 74 percent. Large-scale learning assessments in Senegal indicate that 65 percent of\nstudents do not achieve the minimum proficiency level at the end of primary school <sup>12</sup> [^12: This calculation is proxied by data from grade 6 in 2014 from the PASEC. Better performance in the 2019 PASEC may result in a lower\nlearning poverty rate, although out-of-school rates remain high.], and this is further\ncompounded by the high out-of-school rate, which shows 26 percent of primary school students are out-ofschool. The LP rate is slightly higher for boys than girls (74.7 percent against 73.5 percent). This result is a\ncomposition of two effects: the share of out-of-school children is higher for boys (28.8 percent) than for girls\n(22.6 percent). However, boys are less likely to be below the minimum proficiency at the end of primary school\n(64.4 percent) than girls (65.8 percent). LP in Senegal is 12.6 percentage points better than the average for the\nSSA region and 19 percentage points worse than the average for lower middle-income countries.\n\n\n10. **Disproportionately,\n\nMention: \"PASEC\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"PASEC assessment provides the grade-six learning data used in the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000452:21:0", "occurrence_id": "f1f8a0e10bdfee4795d1f1f4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSenegal, Project for the Improvement of Education System Performance (P169916)\n\n\ntime, general pedagogical training, which has historically been the preferred approach due to cost savings,\nrather than subject specific training has been found to be largely ineffective. In short, experience (largely from\nhigh income countries) shows that practicality, specificity, and continuity are key to effective teacher\nprofessional development. Further, specific training on how to effectively teach reading, is needed to make\ncritical gains in literacy. This approach requires a paradigm shift towards a system of teacher support, whereby\nteachers receive concrete professional development on tangible literacy specific pedagogical approaches, with\nmultiple opportunities to practice these approaches in a low-risk environment and receive individualized\nfeedback. In this stage, instructional coaches will be targeted toward schools where French is the medium of\ninstruction.\n\n22. **The central role of the Literacy Coach is to improve reading and writing instruction practices within schools**\n**by working with elementary school teachers (focusing largely on grades 1-3).** These Literacy Coaches, as\nleaders, will play a central role in identifying areas of need by reviewing teaching practices and identifying\nstudents’ achievement gaps as evidenced by learning data, planning for professional development, and\nproviding regular feedback to teachers to improve instruction. The approach, undergirded by adult learning\nprinciples, includes conferencing with teachers, modeling instructional practices or interventions, observing\nclassroom practices, and co-planning with teachers or teams of teachers. Given that literacy coaches will serve\nmultiple schools and teachers, the coaching program will utilize both face-to-face and distance approaches\nthrough technology based interventions, including technology enabled communities of practice, learning\nmanagement systems, and virtual content sharing. <sup>18</sup> The digital formats for teaching materials will support the\nreduction in travel associated with face-to-face training and the distribution of materials. (See Annex 4 for full\ndetails on climate co-benefits\n\nMention: \"learning data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Student learning data identify achievement gaps used to plan literacy-coach support and teacher development.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000452:17:1", "occurrence_id": "3defe3e01fc3197d29950c22", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of trained teachers in**\n**primary school increasing from 40 to 70 percent** <sup>**13**</sup> [^13: United Nations Educational, Scientific and Cultural Organization (UNESCO). (2017). Global education monitoring report 2017/18:\nAccountability in education. Paris: UNESCO.] **.** However, the level of training of teachers is low and the\nqualification levels vary. Further, qualification levels alone do not necessarily translate to effective teaching,\nespecially when teacher’s competencies (pedagogical skill and knowledge) remain inadequate. The 2014 PASEC\nresults show that most primary school teachers in 2014 had a secondary qualification level albeit with significant\nvariations between regions. The Service Delivery Indicator survey showed that about 29 percent of teachers are\nabsent from school on any given school day, and even if at school, teachers may not be in the classroom\nteaching. Moreover, teacher’s competence <sup>14</sup> [^14: The Service Delivery Indicators (SDI) measures teacher’s competencies as the overall score of mathematics, language and pedagogy\ntests covering the primary curriculum administered at school level to all mathematics and language teachers who taught third grade or\nfourth grade in the year the survey was conducted.] in mathematics and language showed that, on average, only 52\npercent <sup>15</sup> [^15: Ibid, pg. 1] of teachers in Senegalese schools display minimum subject knowledge for fourth grade students.\n\n\n13. **Research has demonstrated that mismatches between the language of instruction and the language that**\n**students speak and understand best can impede effective learning** . Senegal has a linguistically and culturally\ndiverse population with 38 languages spoken. Although the national language of Senegal is French, according\nto the _Organisation Internationale de la Francophonie_ figures, based on the 2013 census in Senegal, about 37.2\npercent of the population speaks French, with less than 50,000\n\nMention: \"2014 PASEC\nresults\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"PASEC results describe teacher qualifications and student learning performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000452:17:1", "occurrence_id": "ac27644f01b51aa495ac4881", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of trained teachers in**\n**primary school increasing from 40 to 70 percent** <sup>**13**</sup> [^13: United Nations Educational, Scientific and Cultural Organization (UNESCO). (2017). Global education monitoring report 2017/18:\nAccountability in education. Paris: UNESCO.] **.** However, the level of training of teachers is low and the\nqualification levels vary. Further, qualification levels alone do not necessarily translate to effective teaching,\nespecially when teacher’s competencies (pedagogical skill and knowledge) remain inadequate. The 2014 PASEC\nresults show that most primary school teachers in 2014 had a secondary qualification level albeit with significant\nvariations between regions. The Service Delivery Indicator survey showed that about 29 percent of teachers are\nabsent from school on any given school day, and even if at school, teachers may not be in the classroom\nteaching. Moreover, teacher’s competence <sup>14</sup> [^14: The Service Delivery Indicators (SDI) measures teacher’s competencies as the overall score of mathematics, language and pedagogy\ntests covering the primary curriculum administered at school level to all mathematics and language teachers who taught third grade or\nfourth grade in the year the survey was conducted.] in mathematics and language showed that, on average, only 52\npercent <sup>15</sup> [^15: Ibid, pg. 1] of teachers in Senegalese schools display minimum subject knowledge for fourth grade students.\n\n\n13. **Research has demonstrated that mismatches between the language of instruction and the language that**\n**students speak and understand best can impede effective learning** . Senegal has a linguistically and culturally\ndiverse population with 38 languages spoken. Although the national language of Senegal is French, according\nto the _Organisation Internationale de la Francophonie_ figures, based on the 2013 census in Senegal, about 37.2\npercent of the population speaks French, with less than 50,000\n\nMention: \"Service Delivery Indicator survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Service Delivery Indicator survey measures teacher absence and classroom teaching quality.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000452:17:1", "occurrence_id": "96e329f192557cdf6529832b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of trained teachers in**\n**primary school increasing from 40 to 70 percent** <sup>**13**</sup> [^13: United Nations Educational, Scientific and Cultural Organization (UNESCO). (2017). Global education monitoring report 2017/18:\nAccountability in education. Paris: UNESCO.] **.** However, the level of training of teachers is low and the\nqualification levels vary. Further, qualification levels alone do not necessarily translate to effective teaching,\nespecially when teacher’s competencies (pedagogical skill and knowledge) remain inadequate. The 2014 PASEC\nresults show that most primary school teachers in 2014 had a secondary qualification level albeit with significant\nvariations between regions. The Service Delivery Indicator survey showed that about 29 percent of teachers are\nabsent from school on any given school day, and even if at school, teachers may not be in the classroom\nteaching. Moreover, teacher’s competence <sup>14</sup> [^14: The Service Delivery Indicators (SDI) measures teacher’s competencies as the overall score of mathematics, language and pedagogy\ntests covering the primary curriculum administered at school level to all mathematics and language teachers who taught third grade or\nfourth grade in the year the survey was conducted.] in mathematics and language showed that, on average, only 52\npercent <sup>15</sup> [^15: Ibid, pg. 1] of teachers in Senegalese schools display minimum subject knowledge for fourth grade students.\n\n\n13. **Research has demonstrated that mismatches between the language of instruction and the language that**\n**students speak and understand best can impede effective learning** . Senegal has a linguistically and culturally\ndiverse population with 38 languages spoken. Although the national language of Senegal is French, according\nto the _Organisation Internationale de la Francophonie_ figures, based on the 2013 census in Senegal, about 37.2\npercent of the population speaks French, with less than 50,000\n\nMention: \"2013 census in Senegal\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"2013 census data provide the basis for statistics on languages spoken in Senegal.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000452:17:1", "occurrence_id": "544922cb70a455d5af4cc45a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of trained teachers in**\n**primary school increasing from 40 to 70 percent** <sup>**13**</sup> [^13: United Nations Educational, Scientific and Cultural Organization (UNESCO). (2017). Global education monitoring report 2017/18:\nAccountability in education. Paris: UNESCO.] **.** However, the level of training of teachers is low and the\nqualification levels vary. Further, qualification levels alone do not necessarily translate to effective teaching,\nespecially when teacher’s competencies (pedagogical skill and knowledge) remain inadequate. The 2014 PASEC\nresults show that most primary school teachers in 2014 had a secondary qualification level albeit with significant\nvariations between regions. The Service Delivery Indicator survey showed that about 29 percent of teachers are\nabsent from school on any given school day, and even if at school, teachers may not be in the classroom\nteaching. Moreover, teacher’s competence <sup>14</sup> [^14: The Service Delivery Indicators (SDI) measures teacher’s competencies as the overall score of mathematics, language and pedagogy\ntests covering the primary curriculum administered at school level to all mathematics and language teachers who taught third grade or\nfourth grade in the year the survey was conducted.] in mathematics and language showed that, on average, only 52\npercent <sup>15</sup> [^15: Ibid, pg. 1] of teachers in Senegalese schools display minimum subject knowledge for fourth grade students.\n\n\n13. **Research has demonstrated that mismatches between the language of instruction and the language that**\n**students speak and understand best can impede effective learning** . Senegal has a linguistically and culturally\ndiverse population with 38 languages spoken. Although the national language of Senegal is French, according\nto the _Organisation Internationale de la Francophonie_ figures, based on the 2013 census in Senegal, about 37.2\npercent of the population speaks French, with less than 50,000\n\nMention: \"Global education monitoring report 2017/18\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"UNESCO Global Education Monitoring Report supplies context on teacher training and education access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000469:2:1", "occurrence_id": "0824119063f6894bd29e8f08", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  distancing measures have led to lockdowns in a number of\nprovinces and the main three cities (Ho Chi Minh City [HCMC], Ha Noi, and Da Nang); both industrial and\nservices activities have fallen sharply. GDP growth slowed to 2.6 percent in 2021. <sup>1</sup> The social impact of the\ncrisis is being especially felt by lower-income households, women, and informal workers. Lingering effects\nof the pandemic on households were visible even before the COVID-19 outbreak and have likely\nintensified in the last year. As of July 2021, 64 percent of households interviewed by the United Nations’\nsurvey across the pandemic time frame experienced an income drop of 30 percent or more compared to\n\n\n1 World Bank statistics. 2022.\n\n\nFeb 17, 2022 Page 3 of 13\n\nMention: \"United Nations’\nsurvey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"UN survey responses document household income declines during the COVID-19 pandemic.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000469:2:1", "occurrence_id": "ace16faaa2ee2eaf38e54797", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  distancing measures have led to lockdowns in a number of\nprovinces and the main three cities (Ho Chi Minh City [HCMC], Ha Noi, and Da Nang); both industrial and\nservices activities have fallen sharply. GDP growth slowed to 2.6 percent in 2021. <sup>1</sup> The social impact of the\ncrisis is being especially felt by lower-income households, women, and informal workers. Lingering effects\nof the pandemic on households were visible even before the COVID-19 outbreak and have likely\nintensified in the last year. As of July 2021, 64 percent of households interviewed by the United Nations’\nsurvey across the pandemic time frame experienced an income drop of 30 percent or more compared to\n\n\n1 World Bank statistics. 2022.\n\n\nFeb 17, 2022 Page 3 of 13\n\nMention: \"World Bank statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank statistics supply GDP and macroeconomic figures for the country context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000469:4:0", "occurrence_id": "bc1552c22d3bfa8550877686", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSouthern Waterways Logistics Corridors (P169954)\n\n\nwaterways and coastal shipping. Meanwhile, Vietnam is ranked globally as the most vulnerable country\nto climate-induced flooding risk along with Bangladesh. <sup>6</sup> Red River Delta and Mekong River Delta are the\ntwo most vulnerable regions to the intensified seasonal rainfalls and flooding. <sup>7</sup> This also requires more\nclimate-resilient infrastructure.\n\n\nSectoral and Institutional Context\n\n**The Inland Waterways Transport Sector**\n\n\n7. **Vietnam’s domestic freight transportation market is heavily reliant on inland waterways**\n**transport (IWT) and road transport.** Based on ton figures, IWT accounts for 16 percent of the total freight\ntransportation, while road transport accounts for 79 percent. <sup>8</sup> In terms of ton-km figures, IWT accounts\nfor about 19 percent of the total, while road transport and coastal shipping account for 25 percent and\n54 percent, respectively. <sup>9</sup> This highlights the importance of Vietnam’s reliance on inland waterways and\ncoastal shipping for long-distance cargo transport. Vietnam is privileged to have an extensive natural\nwaterways network that carries a much higher proportion of the national freight (19 percent in terms of\nton-km) compared to other leading IWT regions of China, the United States of America, and the European\nUnion, which carry about 5–10 percent each. In fact, there is no country in the world except for the\nNetherlands that uses the waterways more for freight transport than Vietnam. <sup>10</sup>\n\n\n8. **Investment in IWT infrastructure is strongly supported by international studies that show that**\n**IWT leads to significantly lower logistics, environmental and accident costs compared to trucking.**\nAccording\n\nMention: \"ton figures\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Freight-tonnage figures quantify inland-waterway and road transport shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000469:4:0", "occurrence_id": "d448a02c4bec671c42f5c74d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSouthern Waterways Logistics Corridors (P169954)\n\n\nwaterways and coastal shipping. Meanwhile, Vietnam is ranked globally as the most vulnerable country\nto climate-induced flooding risk along with Bangladesh. <sup>6</sup> Red River Delta and Mekong River Delta are the\ntwo most vulnerable regions to the intensified seasonal rainfalls and flooding. <sup>7</sup> This also requires more\nclimate-resilient infrastructure.\n\n\nSectoral and Institutional Context\n\n**The Inland Waterways Transport Sector**\n\n\n7. **Vietnam’s domestic freight transportation market is heavily reliant on inland waterways**\n**transport (IWT) and road transport.** Based on ton figures, IWT accounts for 16 percent of the total freight\ntransportation, while road transport accounts for 79 percent. <sup>8</sup> In terms of ton-km figures, IWT accounts\nfor about 19 percent of the total, while road transport and coastal shipping account for 25 percent and\n54 percent, respectively. <sup>9</sup> This highlights the importance of Vietnam’s reliance on inland waterways and\ncoastal shipping for long-distance cargo transport. Vietnam is privileged to have an extensive natural\nwaterways network that carries a much higher proportion of the national freight (19 percent in terms of\nton-km) compared to other leading IWT regions of China, the United States of America, and the European\nUnion, which carry about 5–10 percent each. In fact, there is no country in the world except for the\nNetherlands that uses the waterways more for freight transport than Vietnam. <sup>10</sup>\n\n\n8. **Investment in IWT infrastructure is strongly supported by international studies that show that**\n**IWT leads to significantly lower logistics, environmental and accident costs compared to trucking.**\nAccording\n\nMention: \"ton-km figures\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Ton-kilometer data quantify inland-waterway, road, and coastal-shipping shares of freight transport.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000469:6:0", "occurrence_id": "6088f410f8b98de7d4cad1f9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSouthern Waterways Logistics Corridors (P169954)\n\n\ndevelopment partners such as the World Bank. The master plan focuses on nine key IWT corridors\nnationwide, with a few key corridors located in southern Vietnam.\n\n\n**Challenges and Opportunities in Southern Vietnam’s Waterways Logistics**\n\n\n12. **Southern Vietnam is home to a dominant waterborne logistics network in the country, including**\n**the largest port in the Mekong Delta at Can Tho, the largest port in Vietnam at HCMC** <sup>**21**</sup> [^21: Consisting of several terminals with the largest being Cat Lai.] **in terms of**\n**volumes, and the main deep-sea port at Cai Mep Thi Vai (CMTV).** Collectively, this waterways network is\ncritical to serving Vietnam’s trade. The Mekong Delta is the main producer of rice which is the country’s\nlargest agricultural export as well as a key producer of seafood products, sugar and fertilizers. <sup>22</sup> [^22: About 95 percent of the rice in the Mekong is transported by waterways.] The\nsouthern Vietnam’s light industry includes textile, leather and wood processing industries. Significant\nconstruction materials such as cement, steel, sand, and stone are all produced in southern Vietnam. These\nproducts are mostly carried via the waterways, where the waterways transport modal share is up to 70–\n75 percent compared to roads at 25–30 percent. <sup>23</sup> [^23: MOT. 2021. _Vietnam Southern Region Waterways and Transport Logistics Corridor Project Pre-Feasibility Study Report_ .] Dong Nai is one of Vietnam’s primary manufacturing\ncenters, whose products are also sent to the HCMC/CMTV ports for domestic and international trade via\nthe waterways. During 2011–2018, inland waterway freight tonnage in the southern region grew at a\nstrong average annual rate of 9 percent. <sup>\n\nMention: \"inland waterway freight tonnage\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Inland-waterway freight tonnage series measures transport growth in southern Vietnam.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000469:6:0", "occurrence_id": "19d3217128a9381862bd6ec7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSouthern Waterways Logistics Corridors (P169954)\n\n\ndevelopment partners such as the World Bank. The master plan focuses on nine key IWT corridors\nnationwide, with a few key corridors located in southern Vietnam.\n\n\n**Challenges and Opportunities in Southern Vietnam’s Waterways Logistics**\n\n\n12. **Southern Vietnam is home to a dominant waterborne logistics network in the country, including**\n**the largest port in the Mekong Delta at Can Tho, the largest port in Vietnam at HCMC** <sup>**21**</sup> [^21: Consisting of several terminals with the largest being Cat Lai.] **in terms of**\n**volumes, and the main deep-sea port at Cai Mep Thi Vai (CMTV).** Collectively, this waterways network is\ncritical to serving Vietnam’s trade. The Mekong Delta is the main producer of rice which is the country’s\nlargest agricultural export as well as a key producer of seafood products, sugar and fertilizers. <sup>22</sup> [^22: About 95 percent of the rice in the Mekong is transported by waterways.] The\nsouthern Vietnam’s light industry includes textile, leather and wood processing industries. Significant\nconstruction materials such as cement, steel, sand, and stone are all produced in southern Vietnam. These\nproducts are mostly carried via the waterways, where the waterways transport modal share is up to 70–\n75 percent compared to roads at 25–30 percent. <sup>23</sup> [^23: MOT. 2021. _Vietnam Southern Region Waterways and Transport Logistics Corridor Project Pre-Feasibility Study Report_ .] Dong Nai is one of Vietnam’s primary manufacturing\ncenters, whose products are also sent to the HCMC/CMTV ports for domestic and international trade via\nthe waterways. During 2011–2018, inland waterway freight tonnage in the southern region grew at a\nstrong average annual rate of 9 percent. <sup>\n\nMention: \"Pre-Feasibility Study Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Pre-feasibility study provides supporting evidence on southern-region waterways and logistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000471:3:0", "occurrence_id": "b0b2c91de1214625b9991e91", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nModernization of Public Financial Management Systems in Mexico (P169959)\n\n\nquality and timeliness, thus undermining fiscal policy formulation, public resource allocation, and effective budget\nimplementation functions.\n\nRelationship to CPF\n\n\nThe 2014-2019 Country Partnership Strategy (CPS) for the United Mexican States identifies Strengthening Public\nFinances and Government Efficiency (Theme 3) as one of the priority areas for engagement. The proposed Project’s\nfocus on improving the coverage, quality, timeliness, transparency, and use of public financial information in Mexico\nthrough the strengthening of the Government’s public financial management and public investment management\nsystems is well-aligned with these priorities.\n\n\n**C. Proposed Development Objective(s)**\n\n\nThe objective of the proposed Project is to improve the coverage, quality, timeliness, transparency, and use of public\nfinancial information in Mexico.\n\n\nKey Results (From PCN)\n\n\n1. Percentage of transactions that are recorded at their corresponding expenditure moment (commitment,\naccrual and payment)\n2. Percentage of public investment projects processed according to the standardized criteria, processes, and\nmethodologies within the National Public Investment System (implying projects’ compliance with\nstandardized criteria, processes, and methodologies)\n3. Percentage of administrative and financial transactions in the Federal government that are recorded in\nreal time in the central financial management system\n4. Scope and availability of online data used to inform macro fiscal and financial planning functions\n5. SHCP using information from a common data warehouse and business intelligence tools for fiscal planning\nand monitoring. ( _Use_ )\n\n\n**D. Concept Description**\n\n\nThe proposed Project aims to expand the coverage and strengthen the coverage, quality, timeliness, transparency\nand use of the public financial information in Mexico through the strengthening of the integrated management of\nthree key areas linked to the expenditure cycle: (1) the consolidation of integrated public financial management\nmethods and practices within core financial management functions; (2) the strengthening and integration of\ndecentralized administrative functions; and\n\nMention: \"online data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Scope and availability of online data are tracked as a result indicator for public financial-management improvements.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000474:3:0", "occurrence_id": "3c9099caa273f0f401940381", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAfghanistan Water Supply and Sanitation Services and Institutional Support Program (P169970)\n\n\nInterventions to improve climate change resilience and provide basic services such as safe drinking water will remain a\nkey priority for the country.\n\n\nSectoral and Institutional Context\n\n4. **Afghanistan has significant water resources despite its arid climate, but these are increasingly under stress.** The\ncountry’s total actual renewable water resources were estimated at 65 billion cubic meters per year in 2014, of which\nabout 85 percent is surface water. The water resources of Afghanistan are underutilized as only about 30 percent of the\ntotal annual water resources are used. Approximately 98 percent of the annual water withdrawals of 20 billion cubic\nmeters are used in agriculture. Nevertheless, the total per capita annual renewable water resources have fallen over the\npast decades, between 1990-2017, from 5,000 cubic meters to less than 2,000. <sup>5</sup> [^5: FAO Aquastat Database; Renewable Water Resources per Capita] Population growth, unregulated water\nuse, and limited water infrastructure negatively impact the quantity and quality of available water per capita. Climate\nchange has resulted in declining and increasingly erratic precipitation, putting additional pressure on water resources.\n\n\n5. **Weak institutions, insecurity and associated low investments have constrained access to safe water and**\n**sanitation across Afghanistan.** In 2016-17, 63 percent of Afghanistan’s population had access to improved water sources\nin 2016-17 <sup>**6**</sup> [^6: ALCS 2016-17.] . There are large geographical differences in access, with 90 percent of urban households having access to\nwater supply compared to 55 percent of rural households; but only 21 percent of the urban population having access to\npiped water supply on premises. Data on safely managed drinking water supplies and sanitation (the metric for measuring\nprogress on the Sustainable Development Goals [SDGs]) indicate that less than a third of the population has access to\n\nMention: \"FAO Aquastat Database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"FAO AquaStat supplies renewable-water-resource and withdrawal estimates for Afghanistan.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000474:3:0", "occurrence_id": "6489e7fb2a19540c0125f01f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAfghanistan Water Supply and Sanitation Services and Institutional Support Program (P169970)\n\n\nInterventions to improve climate change resilience and provide basic services such as safe drinking water will remain a\nkey priority for the country.\n\n\nSectoral and Institutional Context\n\n4. **Afghanistan has significant water resources despite its arid climate, but these are increasingly under stress.** The\ncountry’s total actual renewable water resources were estimated at 65 billion cubic meters per year in 2014, of which\nabout 85 percent is surface water. The water resources of Afghanistan are underutilized as only about 30 percent of the\ntotal annual water resources are used. Approximately 98 percent of the annual water withdrawals of 20 billion cubic\nmeters are used in agriculture. Nevertheless, the total per capita annual renewable water resources have fallen over the\npast decades, between 1990-2017, from 5,000 cubic meters to less than 2,000. <sup>5</sup> [^5: FAO Aquastat Database; Renewable Water Resources per Capita] Population growth, unregulated water\nuse, and limited water infrastructure negatively impact the quantity and quality of available water per capita. Climate\nchange has resulted in declining and increasingly erratic precipitation, putting additional pressure on water resources.\n\n\n5. **Weak institutions, insecurity and associated low investments have constrained access to safe water and**\n**sanitation across Afghanistan.** In 2016-17, 63 percent of Afghanistan’s population had access to improved water sources\nin 2016-17 <sup>**6**</sup> [^6: ALCS 2016-17.] . There are large geographical differences in access, with 90 percent of urban households having access to\nwater supply compared to 55 percent of rural households; but only 21 percent of the urban population having access to\npiped water supply on premises. Data on safely managed drinking water supplies and sanitation (the metric for measuring\nprogress on the Sustainable Development Goals [SDGs]) indicate that less than a third of the population has access to\n\nMention: \"ALCS 2016-17\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"ALCS provides household access estimates for improved water sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000482:69:0", "occurrence_id": "d0efa075389505a5885e9635", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAgriculture Governance, Growth and Resilience Investment Project (P170035)\n\n\nexpectancy of the investment works justify the time considered for analysis. The prices were projected to increase by 6%\nper year in the first few years <sup>47</sup> [^47: The current Russia’s invasion of Ukraine has put tremendous pressure on food prices, exceeding the projected rates, and such upward price pressure is\nexpected to continue for years to come.] and then continue a price increase of 3% per year over the other 25 years of project\nperiod.\n\n25. **Financial analysis is done for investments in farms, looking at the small farm sector and larger agricultural**\n**enterprises.** Although much of the agricultural data is available in aggregate level, due to lack of detailed farm data,\nanalysis used assumptions on the farming trends following the irrigation improvements, as experienced in other countries\nwith irrigation projects supported by the bank in recent years. <sup>48</sup> [^48: Water Resource and Irrigation Project in Albania was one of those examples used.]\n\n26. **Expansion on higher value crops at cost of lover value cereals and field crops is expected.** The main fruits\ncurrently cultivated are apples, peaches, and plumbs, which are foreseen to expand further. But the project also expects\nother fruits such as Pears and berries to come to picture following improved irrigation systems. Wine grapes dominate\ncurrently and are expected to further expand but also table grapes are foreseen too. The major changes are expected\nfrom vegetables in both open fields and especially in greenhouses as they rely totally on irrigation and can yield much\nhigher productivity. A presentation of the anticipated changes in increased irrigated land and shifting from low value\ncrops (cereals and field crops) to high value crops (fruits and vegetables) and expected yield improvements are presented\nin table 1.1 below.\n\n\n**Table 1.1. Expected changes in areas\n\nMention: \"agricultural data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Aggregate agricultural data inform assumptions about irrigation-driven farm production and crop shifts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000474:4:2", "occurrence_id": "fbd9d87c3bc901a8eab21133", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>[USD 9,591,340]|\n|All Revenue (AFN)<br>[USD, current exchange rate]|850,308,227<br>[USD 11,269,985]|\n|Collections (AFN, without tax)14|421,817,819<br>[USD 5,590,770]|\n|Collection Ratio (Collections / Revenues)|0.50|\n|Operating Costs (AFN)|528,246,157<br>[USD 7,001,370]|\n|Operating and Administration Costs (AFN)15|565,862,270<br>[USD 7,499,940]|\n|Operating Cost Coverage Ratio (Water Billings / Operating Costs)|1.37|\n\n\n\n11 The six SBUs include Kabul, Kandahar, Herat, Jalalabad, Kunduz, and Mazar.\n12 Data shared by AUWSSC, “AUWSSC Operation and Customer Services Data (2015-2018)”.\n13 Kandahar figure from ADB “Water Supply Concept Design”, November 2018; AUWSSC Total from “AUWSSC Operation and Customer Services Data (2015-2018)”.\n14 Data shared by AUWSSC, “AUWSSC Receivables.xlsx”, includes collections on both current bills and past dues in2017.\n15 Data shared by AUWSSC, “Consolidated Profit and Loss Statement” (unaudited).\n\n\nMay 16, 2019 Page 5 of 8\n\nMention: \"AUWSSC Operation and Customer Services Data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Utility operating and customer-service records supply revenues, collections, costs, and water-billing coverage ratios.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000474:4:2", "occurrence_id": "064a073ddbeac615ba6f14a2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>[USD 9,591,340]|\n|All Revenue (AFN)<br>[USD, current exchange rate]|850,308,227<br>[USD 11,269,985]|\n|Collections (AFN, without tax)14|421,817,819<br>[USD 5,590,770]|\n|Collection Ratio (Collections / Revenues)|0.50|\n|Operating Costs (AFN)|528,246,157<br>[USD 7,001,370]|\n|Operating and Administration Costs (AFN)15|565,862,270<br>[USD 7,499,940]|\n|Operating Cost Coverage Ratio (Water Billings / Operating Costs)|1.37|\n\n\n\n11 The six SBUs include Kabul, Kandahar, Herat, Jalalabad, Kunduz, and Mazar.\n12 Data shared by AUWSSC, “AUWSSC Operation and Customer Services Data (2015-2018)”.\n13 Kandahar figure from ADB “Water Supply Concept Design”, November 2018; AUWSSC Total from “AUWSSC Operation and Customer Services Data (2015-2018)”.\n14 Data shared by AUWSSC, “AUWSSC Receivables.xlsx”, includes collections on both current bills and past dues in2017.\n15 Data shared by AUWSSC, “Consolidated Profit and Loss Statement” (unaudited).\n\n\nMay 16, 2019 Page 5 of 8\n\nMention: \"AUWSSC Receivables.xlsx\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Receivables workbook contains collection data for current bills and past dues.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000474:4:2", "occurrence_id": "47ea31b265eefee8eeaddd15", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>[USD 9,591,340]|\n|All Revenue (AFN)<br>[USD, current exchange rate]|850,308,227<br>[USD 11,269,985]|\n|Collections (AFN, without tax)14|421,817,819<br>[USD 5,590,770]|\n|Collection Ratio (Collections / Revenues)|0.50|\n|Operating Costs (AFN)|528,246,157<br>[USD 7,001,370]|\n|Operating and Administration Costs (AFN)15|565,862,270<br>[USD 7,499,940]|\n|Operating Cost Coverage Ratio (Water Billings / Operating Costs)|1.37|\n\n\n\n11 The six SBUs include Kabul, Kandahar, Herat, Jalalabad, Kunduz, and Mazar.\n12 Data shared by AUWSSC, “AUWSSC Operation and Customer Services Data (2015-2018)”.\n13 Kandahar figure from ADB “Water Supply Concept Design”, November 2018; AUWSSC Total from “AUWSSC Operation and Customer Services Data (2015-2018)”.\n14 Data shared by AUWSSC, “AUWSSC Receivables.xlsx”, includes collections on both current bills and past dues in2017.\n15 Data shared by AUWSSC, “Consolidated Profit and Loss Statement” (unaudited).\n\n\nMay 16, 2019 Page 5 of 8\n\nMention: \"Consolidated Profit and Loss Statement\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Unaudited consolidated profit-and-loss statement provides financial records for the utility.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000474:2:1", "occurrence_id": "716dd9d2238c5611f8f4fa4a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  52,000 people between 2009 and 2017;\nand civilian casualties spiked in 2018. The violence has led to an internally displaced population of over 1.2 million. The\nGoIRA has relied on large aid flows to respond to these crises and support economic development. Foreign aid, however,\nhas steadily declined since 2011, contributing to a slowdown in economic activity. Private sector development is\nconstrained by weak institutions, inadequate infrastructure, widespread corruption and a difficult business environment. <sup>3</sup>\n\n\n3. **Current political, security and economic challenges are compounded by climate change.** Afghanistan is\nparticularly exposed to the effects of changing temperature and precipitation patterns that are likely to have significant\nimpacts on its largely rain-fed agriculture, public health, drinking water security, ecosystems and biodiversity. The\nwidespread poverty makes the population especially vulnerable to extreme weather events such as droughts and floods <sup>4</sup> .\n\n\n1 Central Statistic Organization (CSO) report 2018-19.\n\n2 World Bank, World Development Indicators.\n3 Afghanistan was ranked 177th of 180 countries in the 2017 Corruption Perception Index, and 183rd of 190 in the 2017 Doing Business Survey.\n4 The report “Climate Change in Afghanistan – What Does it Mean for Rural Livelihoods and Food Security?” November 2016, points out that “(…) the four climate hazards which pose the\nlargest risk to livelihoods in Afghanistan [are]: drought caused by reduced spring rainfall, drought caused by declining river flows due to reduced springtime snowmelt in the highlands, floods\ncaused by increased heavy spring rainfall, and riverine floods caused by heavier and faster upstream snowmelt in the highlands” (page 4).\n\n\nMay 16, 2019 Page 3 of 8\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"World Development Indicators provide macroeconomic figures for Afghanistan’s growth and poverty context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000474:2:1", "occurrence_id": "728c6b34171a0cff9c64106f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  52,000 people between 2009 and 2017;\nand civilian casualties spiked in 2018. The violence has led to an internally displaced population of over 1.2 million. The\nGoIRA has relied on large aid flows to respond to these crises and support economic development. Foreign aid, however,\nhas steadily declined since 2011, contributing to a slowdown in economic activity. Private sector development is\nconstrained by weak institutions, inadequate infrastructure, widespread corruption and a difficult business environment. <sup>3</sup>\n\n\n3. **Current political, security and economic challenges are compounded by climate change.** Afghanistan is\nparticularly exposed to the effects of changing temperature and precipitation patterns that are likely to have significant\nimpacts on its largely rain-fed agriculture, public health, drinking water security, ecosystems and biodiversity. The\nwidespread poverty makes the population especially vulnerable to extreme weather events such as droughts and floods <sup>4</sup> .\n\n\n1 Central Statistic Organization (CSO) report 2018-19.\n\n2 World Bank, World Development Indicators.\n3 Afghanistan was ranked 177th of 180 countries in the 2017 Corruption Perception Index, and 183rd of 190 in the 2017 Doing Business Survey.\n4 The report “Climate Change in Afghanistan – What Does it Mean for Rural Livelihoods and Food Security?” November 2016, points out that “(…) the four climate hazards which pose the\nlargest risk to livelihoods in Afghanistan [are]: drought caused by reduced spring rainfall, drought caused by declining river flows due to reduced springtime snowmelt in the highlands, floods\ncaused by increased heavy spring rainfall, and riverine floods caused by heavier and faster upstream snowmelt in the highlands” (page 4).\n\n\nMay 16, 2019 Page 3 of 8\n\nMention: \"2017 Doing Business Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Doing Business country ranking provides context on Afghanistan’s business environment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000482:70:2", "occurrence_id": "bf31f76f1d97dfcb09d3d628", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , and\nvineyards. The actual data support those changes. <sup>49</sup>\n\n30. **Positive economic spillover effects are expected to be generated from higher income generated and boosted**\n\n\n49 The actual data are mainly those published by the Moldova Institute of Statistics, in specific agriculture reports and agriculture data series. These\nstatements are also supported by interviews and discussions with farmers .\n\n\nPage 67 of 75\n\nMention: \"agriculture data series\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Agricultural reports and data series supply evidence on crop changes and farm-sector conditions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000496:32:0", "occurrence_id": "0f12c9846d30ccaf18801b2f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRural Enterprise and Economic Development Project (P170215)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Col1|households who will benefit<br>from start-up grants<br>(Component 1, US$40<br>million). A typical producer<br>organization (PO) consists of<br>25 farming households.|Col3|Col4|Col5|Col6|\n|---|---|---|---|---|---|\n|Beneficiaries of interventions -<br>Female|Number of female<br>beneficiaries of<br>interventions 40% of total<br>PP beneficiaries|Once or<br>twice a year<br>|Sample<br>survey and<br>test report<br>|Summary analysis of<br>sampled data.<br>|OPD<br>|\n|Number of SMEs and Agritech Startups<br>reached|SMEs and Agritech startups<br>will receive technical<br>assistance from project<br>selected intermediary<br>institutions providing<br>support services to<br>entrepreneurs. The<br>intermediaries will provide<br>group based training to 100<br>SMEs/Agri tech startups and<br>incubation/in depth<br>coaching to select 25 out of<br>that 100.<br> Based on the proof of<br>concept of the model and<br>lessons learned, this activity<br>will be scaled up.<br> <br>This activity contributes to<br>strengthening  rural<br>entrepreneurship<br>ecosystem by creating a|Annual<br>|MIS, Progress<br>reports<br>|Monitoring of systems<br>using checklist for each<\n\nMention: \"sampled data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Sampled monitoring data document female beneficiaries of rural enterprise interventions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000496:54:1", "occurrence_id": "22594e6e105b4be1e7d75132", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . This is in part because women\nare often not seen as primary farmers or decision-makers. The analytical study (Kar et al. 2018) clearly shows that this\nis changing and women’s roles and responsibilities in rural economies are growing. According to the 2014/15\nHousehold Survey (Central Bureau of Statistics 2016), women’s weekly workloads (58.8 hours) exceed that of men (47.9\nhours) by 11 hours. Similar, outcomes from the primary data based on FGD revealed women are bounded by household\nwork, child-rearing, taking care of elderly members in the household and farming responsibilities, which do not allow\nthem to focus on their business growth.\n\n3. The REED project aims to support women’s entrepreneurship by addressing constraints in the areas of (i) access\nto markets and market information and (ii) access to technology, and (iii) access to business skills training and business\ndevelopment services.\n\n4. **Access to markets and market information.** Access to market information for women in a rural setting can be\nchallenging, given that women entrepreneurs face not only lack of information sources to consult but also that the\nsources they consult can be poor in quality. The analytical study showed for rural women very low engagement in\nhigher value chain activities can be linked to women’s low skills, lack of access to market information. Also, most frontline extension workers are men, extension messages and information, including agriculture inputs and technology, do\nnot reach out to women living in remote areas. Due to lack of market information, rural female\nproducers/entrepreneurs often struggle to understand the opportunities in both domestic and international markets,\ndistribution options, the industry standards associated with each target demographic, and the logistical constraints.\nCombined, lack of market information can hinder women, rural entrepreneurs, to establish and strengthen commercial\nlinkages with qualified buyers in absence of a unique business support model that contains the inbuilt capacity to\ncontribute valuable\n\nMention: \"2014/15\nHousehold Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household survey provides gender-disaggregated weekly-workload data for rural women and men.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000498:3:2", "occurrence_id": "4ce04d8d2cd5d6653a9401e4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  direct investments);\n\n\n2 World Bank (2018) “Country Private Sector Diagnostics”\n3 The World Bank’s Enterprise Survey (2012) indicated that informal enterprises are predominantly micro firms, while their downstream linkages\nto other firms (formal or informal) are limited, hindering the sector’s ability to play a role in the supply chain for the formal sector.\n4 Rural based value chains are those value chains where primary production is based in rural areas.\n\n\nMay 27, 2020 Page 4 of 9\n\nMention: \"Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Enterprise Survey evidence describes informal firms’ size and limited supply-chain links.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000509:2:1", "occurrence_id": "8976e5b985c8336bf373430c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Union (SACU)\nrevenues, uncertainty of the Africa Growth and Opportunity Act renewal, inflation due to drought-induced higher food\nprices, and South Africa’s declining growth. These risks are exacerbated by other vulnerabilities such as Lesotho’s high\nHIV/AIDS, TB, maternal and infant mortality, and stunting rates; as well as climatic vulnerability (El Niño).\n\n\n3. **The Government’s long-term strategy as outlined in its 2018-2023 National Development Strategic Plan (NSDP**\n**II) is to promote inclusive growth through private sector-led jobs and reduced unemployment** . One of the NSDP’s key\npillars is to strengthen human capital: health and nutrition, education and skills development. It also recognizes the need\nto address food and nutrition security.\n\n\nSectoral and Institutional Context\n4. **Health and nutrition outcomes in Lesotho have improved over time but remain low relative to level of**\n**government spending.** Lesotho’s public expenditures on health reached 8.1 percent of GDP in 2014 -- almost four times\nthe Sub-Saharan Africa average of 2.3 percent. However, its maternal mortality ratio (MMR) based on national estimates\n\n\n1 World Bank National Accounts Data.\n2 <mark>Household Budget Survey f</mark> or <mark>2010/11.</mark>\n3 The World Bank Group’s (WBG) recently launched Human Capital Index measures the amount of human capital that a child born today can expect\nto attain by age 18, given the risks of poor health and poor education that prevail in the country where s/he lives.\n4 SADC is a regional organization comprised of 14 member countries.\n5 The African Development Bank, African Economic Outlook, 2018.\n\n\nAugust 2, 2019 Page 3 of 15\n\nMention: \"World Bank National Accounts Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank national-accounts series support Lesotho’s GDP and macroeconomic context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000509:2:1", "occurrence_id": "8761d00f3d9bbcfe07abfeb2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Union (SACU)\nrevenues, uncertainty of the Africa Growth and Opportunity Act renewal, inflation due to drought-induced higher food\nprices, and South Africa’s declining growth. These risks are exacerbated by other vulnerabilities such as Lesotho’s high\nHIV/AIDS, TB, maternal and infant mortality, and stunting rates; as well as climatic vulnerability (El Niño).\n\n\n3. **The Government’s long-term strategy as outlined in its 2018-2023 National Development Strategic Plan (NSDP**\n**II) is to promote inclusive growth through private sector-led jobs and reduced unemployment** . One of the NSDP’s key\npillars is to strengthen human capital: health and nutrition, education and skills development. It also recognizes the need\nto address food and nutrition security.\n\n\nSectoral and Institutional Context\n4. **Health and nutrition outcomes in Lesotho have improved over time but remain low relative to level of**\n**government spending.** Lesotho’s public expenditures on health reached 8.1 percent of GDP in 2014 -- almost four times\nthe Sub-Saharan Africa average of 2.3 percent. However, its maternal mortality ratio (MMR) based on national estimates\n\n\n1 World Bank National Accounts Data.\n2 <mark>Household Budget Survey f</mark> or <mark>2010/11.</mark>\n3 The World Bank Group’s (WBG) recently launched Human Capital Index measures the amount of human capital that a child born today can expect\nto attain by age 18, given the risks of poor health and poor education that prevail in the country where s/he lives.\n4 SADC is a regional organization comprised of 14 member countries.\n5 The African Development Bank, African Economic Outlook, 2018.\n\n\nAugust 2, 2019 Page 3 of 15\n\nMention: \"Household Budget Survey f\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household Budget Survey provides household expenditure data used in the health-financing context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000511:12:1", "occurrence_id": "fd61527f74d1ed679db18f17", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  social insurance data is fragmented, whereby each institution acts in an autonomous\nmanner. The reliance on bilateral and ad hoc agreements, and the absence of systemic integrated controls, means\nthat any weakness in these inter institutional processes inevitably results in the various data registries being out\nof real-time synchronization. This means that benefits and services across all the institutions are being decided\nand delivered using imperfect data, or data that have not yet been updated.\n\n\n10. **Collection of social insurance contributions rests with the Tax Collection Agency (UJP), but UJP does not**\n**maintain a registry on socially insured persons.** There are many missed connections with the data flows among\nvarious registries. This can lead to gaps in insurance payments and thus coverage for insured persons, and these\ngaps only become visible when the insured person claims a benefit (perhaps 30 or more years later). Gaps in\ncontribution payment data and/or incorrect data from registration and reporting forms can lead to long delays in\nthe PIOM’s determination of an insured person’s status as mandatory Pillar 2 (private) pensions participant. The\nGovernment has already taken formal decisions that aim to establish a new single unified registry system (SURS),\neliminate the weaknesses of the present system, and create an efficient new system in the long run. <sup>7</sup> Registration\nto social insurance will be unified, simplified, and centralized, while the social insurance benefits and services will\nbe provided faster and with higher quality. According to the Decisions, the SURS will be hosted, managed, and\nmaintained by an entity to be established under the MLSP, and regulated through _lex specialis_ on SURS (Law on\nSURS).\n\n\n11. **Disability assessment (certification) is complex, involving various different standards and agencies, with**\n**no single registry or procedure to unite the system.** Disability assessment (certification\n\nMention: \"social insurance data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Fragmented social-insurance records affect verification of contribution histories and beneficiary eligibility.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000511:12:1", "occurrence_id": "d1eb0e96b7beb8db2d93ac0d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  social insurance data is fragmented, whereby each institution acts in an autonomous\nmanner. The reliance on bilateral and ad hoc agreements, and the absence of systemic integrated controls, means\nthat any weakness in these inter institutional processes inevitably results in the various data registries being out\nof real-time synchronization. This means that benefits and services across all the institutions are being decided\nand delivered using imperfect data, or data that have not yet been updated.\n\n\n10. **Collection of social insurance contributions rests with the Tax Collection Agency (UJP), but UJP does not**\n**maintain a registry on socially insured persons.** There are many missed connections with the data flows among\nvarious registries. This can lead to gaps in insurance payments and thus coverage for insured persons, and these\ngaps only become visible when the insured person claims a benefit (perhaps 30 or more years later). Gaps in\ncontribution payment data and/or incorrect data from registration and reporting forms can lead to long delays in\nthe PIOM’s determination of an insured person’s status as mandatory Pillar 2 (private) pensions participant. The\nGovernment has already taken formal decisions that aim to establish a new single unified registry system (SURS),\neliminate the weaknesses of the present system, and create an efficient new system in the long run. <sup>7</sup> Registration\nto social insurance will be unified, simplified, and centralized, while the social insurance benefits and services will\nbe provided faster and with higher quality. According to the Decisions, the SURS will be hosted, managed, and\nmaintained by an entity to be established under the MLSP, and regulated through _lex specialis_ on SURS (Law on\nSURS).\n\n\n11. **Disability assessment (certification) is complex, involving various different standards and agencies, with**\n**no single registry or procedure to unite the system.** Disability assessment (certification\n\nMention: \"contribution payment data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Contribution-payment records are checked to establish insured status and pension eligibility.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000509:3:1", "occurrence_id": "a52d2f4e3015a86a901508c6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **<br>**Africa Average**|\n|Neonatal mortality per 1,000 live births|34*|25.4|23|29.1|\n|Infant mortality per 1,000 live births|59*|39.4|42|56.7|\n|Under-five mortality per 1,000 live births|85*|52.4|57|84.7|\n|Maternal Mortality Ratio maternal deaths<br>per 100,000 live births (Modeled Estimate)|513**<br> <br>|262|310|560|\n|Stunting (low height for age) children<br>under five|33*|33.8|N/A***|35.7|\n\n\n\nSources: World Development Indicators; *Lesotho Demographic and Health Survey 2014;\n**Lesotho’s MMR based on the National Demographic Survey is 1,024 in 2014; *** data only available for Eswatini,\nLesotho, and Zimbabwe\n\n\n5. **Lesotho´s relatively poor health and nutrition outcomes are in part the result of inadequate quality of primary**\n**care and essential hospital services.** In 2014 (latest nationally available information), 95 percent of 15-49-year-old women\nin Lesotho had one antenatal care (ANC) visit, 74 percent received four or more ANC visits, 77 percent gave birth in health\nfacilities and 72 percent received post-natal care. Despite the high coverage of maternal services, Lesotho’s high MMR\nsuggests quality of care issues. A 2015 assessment found that only 6 out of 20 secondary hospitals in the country (where\nnearly half of institutional deliveries occur) provided Comprehensive Emergency Obstetric and Newborn Care certification\n(CeMONC) services to ensure safe delivery, and 89 percent of maternal deaths occurred in health facilities without\nCeMONC certification. <sup>\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"WDI supplies comparative mortality and stunting indicators for Lesotho and peer groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000509:3:1", "occurrence_id": "d559ed1ca611071731b9ff5e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **<br>**Africa Average**|\n|Neonatal mortality per 1,000 live births|34*|25.4|23|29.1|\n|Infant mortality per 1,000 live births|59*|39.4|42|56.7|\n|Under-five mortality per 1,000 live births|85*|52.4|57|84.7|\n|Maternal Mortality Ratio maternal deaths<br>per 100,000 live births (Modeled Estimate)|513**<br> <br>|262|310|560|\n|Stunting (low height for age) children<br>under five|33*|33.8|N/A***|35.7|\n\n\n\nSources: World Development Indicators; *Lesotho Demographic and Health Survey 2014;\n**Lesotho’s MMR based on the National Demographic Survey is 1,024 in 2014; *** data only available for Eswatini,\nLesotho, and Zimbabwe\n\n\n5. **Lesotho´s relatively poor health and nutrition outcomes are in part the result of inadequate quality of primary**\n**care and essential hospital services.** In 2014 (latest nationally available information), 95 percent of 15-49-year-old women\nin Lesotho had one antenatal care (ANC) visit, 74 percent received four or more ANC visits, 77 percent gave birth in health\nfacilities and 72 percent received post-natal care. Despite the high coverage of maternal services, Lesotho’s high MMR\nsuggests quality of care issues. A 2015 assessment found that only 6 out of 20 secondary hospitals in the country (where\nnearly half of institutional deliveries occur) provided Comprehensive Emergency Obstetric and Newborn Care certification\n(CeMONC) services to ensure safe delivery, and 89 percent of maternal deaths occurred in health facilities without\nCeMONC certification. <sup>\n\nMention: \"Lesotho Demographic and Health Survey 2014\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Lesotho Demographic and Health Survey provides health-indicator data for the comparison table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000509:3:1", "occurrence_id": "6ac0823cd1e08c383dd293a7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **<br>**Africa Average**|\n|Neonatal mortality per 1,000 live births|34*|25.4|23|29.1|\n|Infant mortality per 1,000 live births|59*|39.4|42|56.7|\n|Under-five mortality per 1,000 live births|85*|52.4|57|84.7|\n|Maternal Mortality Ratio maternal deaths<br>per 100,000 live births (Modeled Estimate)|513**<br> <br>|262|310|560|\n|Stunting (low height for age) children<br>under five|33*|33.8|N/A***|35.7|\n\n\n\nSources: World Development Indicators; *Lesotho Demographic and Health Survey 2014;\n**Lesotho’s MMR based on the National Demographic Survey is 1,024 in 2014; *** data only available for Eswatini,\nLesotho, and Zimbabwe\n\n\n5. **Lesotho´s relatively poor health and nutrition outcomes are in part the result of inadequate quality of primary**\n**care and essential hospital services.** In 2014 (latest nationally available information), 95 percent of 15-49-year-old women\nin Lesotho had one antenatal care (ANC) visit, 74 percent received four or more ANC visits, 77 percent gave birth in health\nfacilities and 72 percent received post-natal care. Despite the high coverage of maternal services, Lesotho’s high MMR\nsuggests quality of care issues. A 2015 assessment found that only 6 out of 20 secondary hospitals in the country (where\nnearly half of institutional deliveries occur) provided Comprehensive Emergency Obstetric and Newborn Care certification\n(CeMONC) services to ensure safe delivery, and 89 percent of maternal deaths occurred in health facilities without\nCeMONC certification. <sup>\n\nMention: \"National Demographic Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National Demographic Survey provides the 2014 maternal-mortality estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000509:3:0", "occurrence_id": "182abef96c076b98f7884280", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLesotho Nutrition and Health System Strengthening Project (P170278)\n\n\nis still very high. <sup>6</sup> [^6: National estimates from Demographic and Health Surveys 2009 and 2014 are 1,155 and 1,024 out of 100,000 live births, respectively.] Even with modeled MMR estimates which tend to be much lower than national estimates, Lesotho’s\nMMR (513) is higher than the averages for comparators (Table 1). While infant mortality decreased, it is still higher than\ncomparator averages. Although stunting <sup>7</sup> [^7: Stunting is higher in rural and urban areas of the country (36% vs 28%) and, among children 02-23 months, child stunting is 12.8 percent in the\nrichest household compared to 35 percent among the poorest households.] decreased from 39 percent in 2009, 33 percent of 0 to 5-year-old children were\nstunted in 2014 which is still very high. <sup>8</sup> [^8: DHS 2009, 2014] It is higher than stunting rates in Eswatini (25%) and Zimbabwe (27.6) but lower\nthan averages for LMICs (33.6%) and SSA (35.7%). Malnutrition was the top cause of deaths among children in Lesotho. <sup>9</sup> [^9: According to the Cost of Hunger Study in Africa (COHA) Lesotho 2016, over 19% of all child mortality is associated with undernutrition,\n17.7% of all repetitions in schools is associated with stunting, and stunted children achieve 3.6 years less in school. Child mortality\nassociated with undernutrition, has reduced Lesotho’s work force by 7.2%; and an estimated 45% adult population suffered from stunting\nas children.]\n\n**Table 1. Mortality and Stunting Rates in Lesotho relative to Averages in Lower Middle-Income Countries, Southern**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|\n\nMention: \"Demographic and Health Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Demographic and Health Survey rounds provide national maternal-mortality estimates cited for Lesotho.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000509:3:0", "occurrence_id": "4b0f020fd2eb8fe2605240a1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLesotho Nutrition and Health System Strengthening Project (P170278)\n\n\nis still very high. <sup>6</sup> [^6: National estimates from Demographic and Health Surveys 2009 and 2014 are 1,155 and 1,024 out of 100,000 live births, respectively.] Even with modeled MMR estimates which tend to be much lower than national estimates, Lesotho’s\nMMR (513) is higher than the averages for comparators (Table 1). While infant mortality decreased, it is still higher than\ncomparator averages. Although stunting <sup>7</sup> [^7: Stunting is higher in rural and urban areas of the country (36% vs 28%) and, among children 02-23 months, child stunting is 12.8 percent in the\nrichest household compared to 35 percent among the poorest households.] decreased from 39 percent in 2009, 33 percent of 0 to 5-year-old children were\nstunted in 2014 which is still very high. <sup>8</sup> [^8: DHS 2009, 2014] It is higher than stunting rates in Eswatini (25%) and Zimbabwe (27.6) but lower\nthan averages for LMICs (33.6%) and SSA (35.7%). Malnutrition was the top cause of deaths among children in Lesotho. <sup>9</sup> [^9: According to the Cost of Hunger Study in Africa (COHA) Lesotho 2016, over 19% of all child mortality is associated with undernutrition,\n17.7% of all repetitions in schools is associated with stunting, and stunted children achieve 3.6 years less in school. Child mortality\nassociated with undernutrition, has reduced Lesotho’s work force by 7.2%; and an estimated 45% adult population suffered from stunting\nas children.]\n\n**Table 1. Mortality and Stunting Rates in Lesotho relative to Averages in Lower Middle-Income Countries, Southern**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|\n\nMention: \"Cost of Hunger Study in Africa\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Cost of Hunger Study estimates child mortality, school repetition, and adult productivity losses associated with undernutrition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000511:54:2", "occurrence_id": "463b364f65a04a2cf2260845", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of persons\nwho are in employment for that year. However, there are many missed connections with these data flows as well\nas cases of parallel change of data. This can lead to gaps in insurance coverage for insured persons, and these gaps\nonly become visible when the insured person claims a benefit (perhaps 30 or more years later).\n\n\n6. **Gaps in contribution payment data, and/or incorrect data from registration and reporting forms can**\n**lead to lengthy delays in the PIOM’s determination of an insured person’s status with regard to Pillar 2 pensions.**\nThis is exemplified by the recent crisis regarding missing contributions for Pillar 2 members that has resulted in\ncompensating 12,000 members in the Pillar 2 pension schemes with a total amount of more than EUR 19 million\nin 2019. Furthermore, there is a temporarily hold of the pension contributions in the PIOM’s bridge account for\n\n\n27 The legal regulations defining the AVRM responsibilities does not require establishing and maintaining formal Registry of employees,\nthus the AVRM’s main focus is employees M registrations. However, the AVRM has a registry of employers for internal core processes, yet\nwithout obligation to report on it. In conclusion, the State Statistical Office reports the employees’ data, based on the input of the AVRM\nand additional internal methodology.\n\n\nPage 50 of 68\n\nMention: \"contribution payment data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Contribution-payment records help determine insured status and resolve gaps in social-insurance coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000511:54:2", "occurrence_id": "52fb1214f3e22b4bed1657c1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of persons\nwho are in employment for that year. However, there are many missed connections with these data flows as well\nas cases of parallel change of data. This can lead to gaps in insurance coverage for insured persons, and these gaps\nonly become visible when the insured person claims a benefit (perhaps 30 or more years later).\n\n\n6. **Gaps in contribution payment data, and/or incorrect data from registration and reporting forms can**\n**lead to lengthy delays in the PIOM’s determination of an insured person’s status with regard to Pillar 2 pensions.**\nThis is exemplified by the recent crisis regarding missing contributions for Pillar 2 members that has resulted in\ncompensating 12,000 members in the Pillar 2 pension schemes with a total amount of more than EUR 19 million\nin 2019. Furthermore, there is a temporarily hold of the pension contributions in the PIOM’s bridge account for\n\n\n27 The legal regulations defining the AVRM responsibilities does not require establishing and maintaining formal Registry of employees,\nthus the AVRM’s main focus is employees M registrations. However, the AVRM has a registry of employers for internal core processes, yet\nwithout obligation to report on it. In conclusion, the State Statistical Office reports the employees’ data, based on the input of the AVRM\nand additional internal methodology.\n\n\nPage 50 of 68\n\nMention: \"employees’ data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Employee records from the State Statistical Office incorporate inputs from the revenue administration.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000532:5:0", "occurrence_id": "68899e15b353e3b03caa8e2b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUganda Forests and Resilient Landscapes Project (P170466)\n\n\nEastern Chimpanzee _P. troglodytes_ _schweinfurthii_ (endangered). <sup>9</sup> [^9: IUCN Red List of Threatened Species https://www.iucnredlist.org/. Accessed June 4, 2019.] The National Parks attract leisure tourists for\nwildlife safaris, gorilla and chimpanzee tracking, and adventure tourism. Murchison Falls National Park (NP) and\nQueen Elizabeth NP, both in the Albert Nile Water Management Zone (WMZ), are the most visited parks in\nUganda. Nature-based tourism generates significant revenues, some of which benefits local communities through\nbenefit-sharing mechanisms used by the Uganda Wildlife Authority (UWA) and through job creation. These\nrevenues are also vital for funding the operational costs of National Parks and Wildlife Reserves themselves. The\nGoU identified tourism as a key growth sector in the NDP-II <sup>10</sup> [^10: Second National Development Plan (NDPII) 2015/16 – 2019/20. Available at http://npa.go.ug/wp-content/uploads/NDPII-Final.pdf], and this sector will also be prioritized in the next\nfive-year plan. Travel and tourism are forecast to rise to eight percent of GDP by 2027. <sup>11</sup> [^11: World Travel and Tourism Council, 2017. Travel & Tourism, Economic Impact 2017, Uganda.] NPs under the\nmanagement of UWA make a substantial contribution to Uganda’s tourism industry.\n\n8. **Uganda has a well-developed policy and legal framework for the forest sector and for other related sectors, such**\n**as agriculture, water, energy, tourism, climate change, land, and gender.** Forest resources in Uganda are managed\nunder a two-tier system distinguishing between government-managed areas (such as Central Forest Reserves (CFR),\nLocal Forest Reserves (LFRs), and Wildlife Conservation Areas) and forests on communal and private\n\nMention: \"IUCN Red List of Threatened Species\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Threatened-species listing informs discussion of wildlife tourism and biodiversity in Uganda.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000565:2:2", "occurrence_id": "cd7596724c485b253c5811d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: food supply chain is</mark>\n<mark>not sufficiently developed to take advantage of the changing consumption patterns of a growing middle-class in search</mark>\n<mark>of diverse and nutrient-rich foods. Rightly recognizing the importance of this paradigm, the Government of India’s</mark>\n<mark>(GoI) development agenda</mark> <sup>2</sup> [^2: <u>[http://www.niti.gov.in/writereaddata/files/document_publication/Annual-Report-English.pdf](http://www.niti.gov.in/writereaddata/files/document_publication/Annual-Report-English.pdf)</u>] <mark>for agriculture focuses on seven goals: growth; stability; efficiency; food and nutrition</mark>\n<mark>security; food safety; sustainability; and increasing farmers income. GoI further emphasizes</mark> <sup>3</sup> [^3: <u>[http://niti.gov.in/writereaddata/files/document_publication/RAP3.pdf](http://niti.gov.in/writereaddata/files/document_publication/RAP3.pdf)</u>] <mark>higher attention to the</mark>\n<mark>eastern region</mark> <sup>4</sup> [^4: Assam, Bihar, Chhattisgarh, Jharkhand, Odisha, eastern Uttar Pradesh and West Bengal] <mark>of the country which is well-endowed with natural resources (fertile soil and ample water) and</mark>\n<mark>contributes about 40 percent of the overall production of food grains in India. Chhattisgarh, with its significant natural</mark>\n\n\n[1 Refer pp 85 of the Economic Survey 2017-18. http://mofapp.nic.in:8080/economicsurvey/pdf/082-101_Chapter_06_ENGLISH_Vol_01_2017-18.pdf](http://mofapp.nic.\n\nMention: \"Economic Survey 2017-18\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Economic Survey provides national agricultural, food-security, and development-policy context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000532:5:1", "occurrence_id": "f823c60cdcaedb4e532947ad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  communal and private land. The\nMinistry of Water and Environment (MWE) has the mandate for the management and development of forest\nresources. Under the MWE, the Forest Sector Support Department (FSSD) is responsible for formulating policies,\nlegislation and standards and the National Forestry Authority (NFA) manages CFRs. The Ministry of Tourism, Wildlife\nand Antiquities (MTWA) has a responsibility to sustain tourism, wildlife, and cultural heritage, whereas UWA, within\nMTWA’s structure, has responsibility for managing protected areas such as National Parks and Wildlife Reserves, as\nwell as for measures to combat illegal wildlife trade and manage human-wildlife conflicts. District Local Government\n(DLGs) manage LFRs through District Forestry Services and are also responsible for providing advisory services to the\nowners of private forests. The roles of these institutions are defined in a number of legal and policy instruments that\ninclude provisions relevant to forest and natural resources management **.** <sup>12</sup>\n\n9. **Uganda’s GHG emissions grew 50 percent from**\n**1990-2012 with a substantial contribution from**\n**the forest sector.** Uganda’s reporting to the\nUNFCCC indicates that agriculture was the largest\nsource of emissions at 48 percent, followed by\nland use change and forestry at 38 percent (Figure\n3) **.** Annual emissions from deforestation are 8.255\nmillion tCO2/year. <sup>13</sup> Emissions from degradation\nare harder to determine and work is ongoing to\n\n\n[9 IUCN Red List of Threatened Species https://www.iucnredlist.org/. Accessed June 4, 2019.](https://www.iucnredlist.org/)\n10 Second National Development Plan (NDPII) 2015/16 – 2019/20. Available at http://npa.\n\nMention: \"IUCN Red List of Threatened Species\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"IUCN Red List supplies conservation-status evidence referenced in the forestry and emissions discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000565:6:0", "occurrence_id": "d827d1667be20c9fdb702927", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nChhattisgarh Inclusive Rural and Accelerated Agriculture Growth Project (P170645)\n\n\n**C. Proposed Development Objective(s)**\n\n\nThe PDO of the proposed project is “to improve access to quality essential services and to enhance and diversify\nsources of income in select tribal dominated areas of Chhattisgarh”.\n\n\nKey Results (From PCN)\n\n**12.** The following Key Performance Indicators (KPI) are proposed for measuring the core outcomes of the project:\n\n\na) KPI 1 - Percentage increase of eligible households receiving direct benefit transfers through social protection\n\nregistry (ies);\nb) KPI 2 – Percent of households that meet or exceed minimum dietary diversity requirements (disaggregated\n\nfor women and children)\nc) KPI 3 – Households reached with productive assets or services for diversified production/collection, with\n\ntargets for tribal households and women headed households (number)\nd) KPI 4 - Value addition: Share of local produce that is processed into high value products (%);\n\nIn addition, the following indicator regarding citizens’ stakeholder engagement in the Project will be measured:\ne) KPI 5 - Degree of satisfaction of project beneficiaries with the quality of services provided by the Project\n\n(gender disaggregated), as a partial measure of stakeholder’s’ engagement.\n\n\n**D. Concept Description**\n\n\n13. <mark>The direct project beneficiaries will include rural households from tribal dominated geographies</mark> <sup>21</sup> [^21: Districts and blocks where % tribal population is more than State average as per the census 2011.] <mark>. The project</mark>\n<mark>will follow area-based approach of targeting of rural households, and in the selected districts and blocks all rural</mark>\n<mark>households would be eligible to participate in the program. The Project-specific criteria for geographical focus and</mark>\n<mark>prioritization of investments will include: (i) density of tribal communities; (ii\n\nMention: \"census 2011\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Census 2011 tribal-population shares decide which districts and blocks qualify as tribal-dominated target areas for the project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000598:2:2", "occurrence_id": "d3e2400f5e59a37c9185e28c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *Access to water supply, sanitation and hygiene (WASH) is an important determinant of human capital**\n**outcomes, including early childhood survival, health and educational attainment – all of which in turn affect**\n\n\n1 World Bank Databank population estimates and projections.\n2 World Data Lab. See https://worldpoverty.io.\n3 <mark>HCI (Human Capital Index) (database), World Bank, Washington, DC, http://www.worldbank.org/en/publication/human-capital.</mark>\n4 WDI.\n\n\nSep 03, 2019 Page 3 of 11\n\nMention: \"World Data Lab\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Footnote reference pointing to World Data Lab's worldpoverty.io as the source supporting the WASH-to-human-capital claim.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000659:81:1", "occurrence_id": "40d8635432aea3ec9d36f59c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of illustrating\ndifferent approaches to conducting GTS in terms of, for instance, their survey designs, the variables covered, and\nthe data collection strategies used. The cases selected are from the United Kingdom (Graduates Outcome Survey\nand the Longitudinal Education Outcomes), Italy (Alma Laurea and Italian National Institute of Statistics studies),\nand Chile (Mi Futuro). The three cases are implemented on a regular basis and while the state is involved in all\nthree cases, the management model is different in each case. All cases use administrative or government data,\nalbeit doing so to different extents and in different ways. Finally, while the three of them are innovative,\nmethodologically robust, and widely used in their countries, they differ significantly in their design and in their\ncore objectives and uses. Therefore, they present an ample spectrum of different options that can be considered\nto start the development of a GTS in Ukraine.\n\n\n69 European Training Foundation, European Centre for the Development of Vocational Training, and\nInternational Labour Office. (2016). Carrying Out Tracer Studies: Guide to Anticipating and Matching Skills and Jobs. Vol. 6.\n70 World Bank. (2018). International Experience in the Implementation of Graduate Tracer Studies in Higher Education – Case Studies of\nGood Practice.\n\nPage **72** of **73**\n\nMention: \"Graduates Outcome Survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"One of three national graduate tracer-study cases examined as a design option for a Ukrainian GTS.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000659:81:1", "occurrence_id": "1d4202b0eeb2edf63e2cc8b8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of illustrating\ndifferent approaches to conducting GTS in terms of, for instance, their survey designs, the variables covered, and\nthe data collection strategies used. The cases selected are from the United Kingdom (Graduates Outcome Survey\nand the Longitudinal Education Outcomes), Italy (Alma Laurea and Italian National Institute of Statistics studies),\nand Chile (Mi Futuro). The three cases are implemented on a regular basis and while the state is involved in all\nthree cases, the management model is different in each case. All cases use administrative or government data,\nalbeit doing so to different extents and in different ways. Finally, while the three of them are innovative,\nmethodologically robust, and widely used in their countries, they differ significantly in their design and in their\ncore objectives and uses. Therefore, they present an ample spectrum of different options that can be considered\nto start the development of a GTS in Ukraine.\n\n\n69 European Training Foundation, European Centre for the Development of Vocational Training, and\nInternational Labour Office. (2016). Carrying Out Tracer Studies: Guide to Anticipating and Matching Skills and Jobs. Vol. 6.\n70 World Bank. (2018). International Experience in the Implementation of Graduate Tracer Studies in Higher Education – Case Studies of\nGood Practice.\n\nPage **72** of **73**\n\nMention: \"Longitudinal Education Outcomes\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Second UK graduate-outcomes dataset assessed alongside the tracer survey as a GTS model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000659:81:1", "occurrence_id": "6e3af19d9bbf2090d64dbb3e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of illustrating\ndifferent approaches to conducting GTS in terms of, for instance, their survey designs, the variables covered, and\nthe data collection strategies used. The cases selected are from the United Kingdom (Graduates Outcome Survey\nand the Longitudinal Education Outcomes), Italy (Alma Laurea and Italian National Institute of Statistics studies),\nand Chile (Mi Futuro). The three cases are implemented on a regular basis and while the state is involved in all\nthree cases, the management model is different in each case. All cases use administrative or government data,\nalbeit doing so to different extents and in different ways. Finally, while the three of them are innovative,\nmethodologically robust, and widely used in their countries, they differ significantly in their design and in their\ncore objectives and uses. Therefore, they present an ample spectrum of different options that can be considered\nto start the development of a GTS in Ukraine.\n\n\n69 European Training Foundation, European Centre for the Development of Vocational Training, and\nInternational Labour Office. (2016). Carrying Out Tracer Studies: Guide to Anticipating and Matching Skills and Jobs. Vol. 6.\n70 World Bank. (2018). International Experience in the Implementation of Graduate Tracer Studies in Higher Education – Case Studies of\nGood Practice.\n\nPage **72** of **73**\n\nMention: \"administrative or government data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Records that all three tracer-study cases draw on administrative or government records, to differing extents.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000661:4:0", "occurrence_id": "b651a33ea07c21bed6a272b6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUkraine Improving Higher Education for Results Project (P171050)\n\n\nAs of 2019, Ukraine had a total of 327 HEIs (231 public and 96 private). <sup>5</sup> [^5: In addition to the 327 HEIs, Ukraine also has 349 colleges and technical colleges that are classified as pre-tertiary professional\neducation institutions.] The majority of State-funded\npublic HEIs (141 institutions) are subordinated to the MOES, although a subset of HEIs are also\nsubordinated to other ministries like Ministry of Health, Culture, Internal Affairs, and Defense. Expansion\nof the higher education system was driven by the development of private HEIs, upgrading the status of\nsome institutions to academies and universities, and the establishment of branches and separate\nstructural divisions of HEIs.\n\n\n8. A large supply of higher education graduates, many with insufficient skills for the needs of the\nmodern labor market, has contributed to unemployment and education-job mismatch, particularly among\nyoung university graduates. The share of workers with higher education among the unemployed has\nincreased from 32 percent in 2004 to 47 percent by 2013. Moreover, 40 percent of young university\ngraduates were working in lower-level jobs which did not require university-level education, as of 2013,\ncompared to 29 percent for prime-age and older workers. Only one-third of youth believe that Ukrainian\neducation meets the needs of the modern labor market, compared to 73 percent in the EU, according to\nEurobarometer. In the labor market, a serious skills mismatch has been identified: 40 percent of\nemployers report significant skills gaps, including both cognitive and socioemotional skills, which harm\nbusiness objectives. <sup>6</sup> [^6: STEP Survey 2014] Only half of job vacancies in a recent study even mention needing a minimum\neducational level and less than a third a specific field of study. <sup>7</sup> This disconnect between educational\ncredentials and labor market needs is driven by the high number of Ukrainians with higher education as\nwell as the poor\n\nMention: \"Eurobarometer\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the youth-perception comparison behind the claim that Ukrainian education misses labour-market needs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000661:4:0", "occurrence_id": "b2c492e379cf647c0ec220ee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUkraine Improving Higher Education for Results Project (P171050)\n\n\nAs of 2019, Ukraine had a total of 327 HEIs (231 public and 96 private). <sup>5</sup> [^5: In addition to the 327 HEIs, Ukraine also has 349 colleges and technical colleges that are classified as pre-tertiary professional\neducation institutions.] The majority of State-funded\npublic HEIs (141 institutions) are subordinated to the MOES, although a subset of HEIs are also\nsubordinated to other ministries like Ministry of Health, Culture, Internal Affairs, and Defense. Expansion\nof the higher education system was driven by the development of private HEIs, upgrading the status of\nsome institutions to academies and universities, and the establishment of branches and separate\nstructural divisions of HEIs.\n\n\n8. A large supply of higher education graduates, many with insufficient skills for the needs of the\nmodern labor market, has contributed to unemployment and education-job mismatch, particularly among\nyoung university graduates. The share of workers with higher education among the unemployed has\nincreased from 32 percent in 2004 to 47 percent by 2013. Moreover, 40 percent of young university\ngraduates were working in lower-level jobs which did not require university-level education, as of 2013,\ncompared to 29 percent for prime-age and older workers. Only one-third of youth believe that Ukrainian\neducation meets the needs of the modern labor market, compared to 73 percent in the EU, according to\nEurobarometer. In the labor market, a serious skills mismatch has been identified: 40 percent of\nemployers report significant skills gaps, including both cognitive and socioemotional skills, which harm\nbusiness objectives. <sup>6</sup> [^6: STEP Survey 2014] Only half of job vacancies in a recent study even mention needing a minimum\neducational level and less than a third a specific field of study. <sup>7</sup> This disconnect between educational\ncredentials and labor market needs is driven by the high number of Ukrainians with higher education as\nwell as the poor\n\nMention: \"STEP Survey 2014\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote source for the finding that 40 percent of employers report significant skills gaps.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000661:7:1", "occurrence_id": "30ea1bb7e34fbcfdefe0816a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  performance-based contracts in place (conditions for\n\nquality and transparency)\nd. Number of mergers of public HEIs under MOES (efficiency) (PBC 4)\n\n\n**D. Project Description**\n\n\n20. In response to the COVID-19 crisis and with a view to address longer term structural reforms, a\nsizeable share of project financing particularly under Component 3 will be directed towards mitigating the\nimpact of the COVID-19 crisis over the coming years, while the remaining funds will be directed towards\nthe much needed structural reforms over the medium-term. The project would finance strategic\ninvestment activities critical for the success of reforms in higher education, along with specific results\n\n\n16 ILO School-to-Work Transition Survey 2015\n\n\nJan 26, 2021 Page 8 of 13\n\nMention: \"ILO School-to-Work Transition Survey\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Numbered footnote pointing to the ILO school-to-work transition survey as a citation behind the project description.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000675:2:0", "occurrence_id": "13c1321b2bed733eef3029c4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKosovo Social Assistance System Reform Project (P171098)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **The Republic of Kosovo experienced positive economic growth until 2019, but this did not translate into robust**\n**employment creation.** Since its independence in 2008, the country has made considerable socioeconomic progress,\nbenefiting from the support of the international community and its own diaspora. With policies anchored in its overarching\npolitical objective of joining the European Union (EU), Kosovo has made progress in transitioning to a market-based system\nand has maintained relatively stable economic growth. Between 2010 and 2019, Gross Domestic Product (GDP) per capita\ngrew at an average of 3.4 percent, making Kosovo the fastest growing country in the Western Balkans. However, Kosovo’s\neconomic growth has not been sufficient to significantly reduce the high rates of unemployment and create formal jobs,\nparticularly for women, youth, and the Roma, Ashkali and Egyptian (RAE) population. It stands out as the Western Balkan\ncountry with the lowest labor market outcomes, especially for women. According to the 2019 Labor Force Survey (LFS) of\nthe Kosovo Statistics Agency, the labor force participation rate is only 40.1 percent, versus an average of 63.3 percent for\nthe Western Balkans; among women, labor force participation is only 20.5 percent. <sup>1</sup> [^1: These data are as of Q2 2019. Source: SEE Jobs Gateway. The South East Europe Jobs Gateway Database is a joint project between the World Bank\nand the Vienna Institute for International Economic Studies (wiiw). It provides a detailed and harmonized set of labor market indicators for the six\nWestern Balkan and four EU peer countries between 2010 and 2019.] Employment is also low, at only 29.9\npercent (versus 54.6 for the Western Balkans), and even lower among women (13.8 percent). Unemployment\n\nMention: \"2019 Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 2019 participation rates (40.1 percent overall, 20.5 percent among women) behind the low-outcomes diagnosis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000675:2:0", "occurrence_id": "0c26af37e179d02a6ccca67c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKosovo Social Assistance System Reform Project (P171098)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **The Republic of Kosovo experienced positive economic growth until 2019, but this did not translate into robust**\n**employment creation.** Since its independence in 2008, the country has made considerable socioeconomic progress,\nbenefiting from the support of the international community and its own diaspora. With policies anchored in its overarching\npolitical objective of joining the European Union (EU), Kosovo has made progress in transitioning to a market-based system\nand has maintained relatively stable economic growth. Between 2010 and 2019, Gross Domestic Product (GDP) per capita\ngrew at an average of 3.4 percent, making Kosovo the fastest growing country in the Western Balkans. However, Kosovo’s\neconomic growth has not been sufficient to significantly reduce the high rates of unemployment and create formal jobs,\nparticularly for women, youth, and the Roma, Ashkali and Egyptian (RAE) population. It stands out as the Western Balkan\ncountry with the lowest labor market outcomes, especially for women. According to the 2019 Labor Force Survey (LFS) of\nthe Kosovo Statistics Agency, the labor force participation rate is only 40.1 percent, versus an average of 63.3 percent for\nthe Western Balkans; among women, labor force participation is only 20.5 percent. <sup>1</sup> [^1: These data are as of Q2 2019. Source: SEE Jobs Gateway. The South East Europe Jobs Gateway Database is a joint project between the World Bank\nand the Vienna Institute for International Economic Studies (wiiw). It provides a detailed and harmonized set of labor market indicators for the six\nWestern Balkan and four EU peer countries between 2010 and 2019.] Employment is also low, at only 29.9\npercent (versus 54.6 for the Western Balkans), and even lower among women (13.8 percent). Unemployment\n\nMention: \"South East Europe Jobs Gateway Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote source of the Q2 2019 labour-market indicators, a harmonised World Bank and wiiw comparison across Western Balkan and EU peers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000711:9:0", "occurrence_id": "3b2e7c57a735af2b36362b73", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAzerbaijan Employment Support Project (P171250)\n\n\nSummary of Assessment of Environmental and Social Risks and Impacts\n.\n\n\n**23.** **The environmental risk of the project is rated as moderate** because project activities will not cause environmental\nrisk or impact on human population and environment. The social risk is rated as moderate reflecting: (i) significant\npolitical and governance risks outlined in the project concept note; (ii) the required analysis of a broad range of social\nissues, including measures for improving beneficiary targeting; (iii) the capacity building support to the client for\neffective stakeholder engagement; (iv) support to comply with the overall Environmental and Social Framework\nnecessary for this project. Overall, the project does not have significant negative social impacts and the project aims to\nimprove employment opportunities among women, youth, TSSA beneficiaries and IDPs who are either inactive or\nunemployed registered with SES.\n\n\n**24.** **Citizen Engagement.** Local consultations with existing SEP beneficiaries and potential SEP participants –\nrepresentatives of TSSA beneficiaries and / or vulnerable groups have been conducted during the project preparation.\nCitizen engagement activities will include (i) periodical beneficiary satisfaction surveys; (ii) a dedicated online\nconsultation portal for continuous collection of beneficiary feedback and (iii) a participatory mechanism through local\nconsultations to involve central and local stakeholders to provide a consultative platform related to economic sectors\npriorities for SEP financed businesses and ensure local citizens’ engagement. A grievance redress mechanism with\nspecific activities linked to each component will be established.\n\n\n**25.** **Disability inclusion** _._ According to MLSPP data, there are about 620,000 people with disabilities in Azerbaijan.\nApproximately 14 percent of current SEP beneficiaries are persons with disabilities (PWD). Component 1 of the proposed\nproject includes PWD within its target group and the project is expected to directly contribute to the agenda of labor\nmarket inclusion of PWD in Azerbaijan, complementing\n\nMention: \"MLSPP data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ministry data behind the 620,000 people-with-disabilities figure used to justify including PWD in Component 1.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000675:5:2", "occurrence_id": "aa965958d30c86f64fba0f5b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  lack of formal income and harnessing the\nSAS delivery systems for assessing eligibility and making payments. Despite the challenges of launching a new program\nduring an emergency, Measure 15 reached almost 350,000 people. Analysis shows that Measure 15 was correlated with\nthe allocation of the SAS across municipalities (suggesting that it is pro-poor). And yet, there are some reports that people\nwho were better-off as a result of remittances or other informal income sources, were included. <sup>20</sup> This points to the fact\n\n\n13 Most comparator countries operate multiple social assistance programs with poverty alleviation objectives and cover a significantly higher share\nof the poorest quintile.\n14 Based on 2017 Household Budget Survey data.\n15 The benefit amount for the first family member is EUR 60. Beyond the first family member, the incremental benefit amount is only EUR 7.5 per\nmonth for adults and EUR 12.5 for children.\n16 The OECD equivalence scale, in contrast, weighs additional adults beyond the first adult as 0.5 and children ages 0-14 at 0.3.\n17 Additionally, MFLT cross-checks the formal income reported by beneficiary households to the Tax Authority on a monthly basis and, if above the\nthreshold for eligibility, households are exited from the program.\n18 The Emergency Fiscal Package was adopted through a Decision of the Government on March 30, 2020 and the associated Operational Plan was\nissued on April 3, 2020.\n19 Such households also had to provide proof of registration as unemployed in the employment agency.\n20 World Bank analysis of Measure 15 administrative data and qualitative interviews with staff at Centers for Social Work.\n\n\nApr 27, 2021 Page 6 of 10\n\nMention: \"2017 Household Budget Survey data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote basis for the comparator-country coverage claim about social assistance reaching the poorest quintile.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000709:57:0", "occurrence_id": "4b2e53e2210529c1c6a8e5bf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAzerbaijan Employment Support Project (P171250)\n\n\nanalysis to be conducted by using survey and administrative data sources, including the SES’ own\ndatabases, the labor force survey data collected by the national statistical committee, data from the\nfirm registry database, online vacancy bank data, <sup>66</sup> or online ‘live’ job postings available on public\nwebsites. Second, the project will design and implement a qualitative labor market needs assessment\nwith both public and private employers and key stakeholders, such as local chambers. The analysis will\nultimately provide a list of critical occupations and skills most demanded in the market. The occupation\nlist will then serve as the basis for developing a skills demand repository, by employing a skill\nclassification methodology. This repository will then be linked with the vacancies for improved job\nmatching.\n\n\n30. **The activity will further finance the development of a strategy for expansion and**\n**improvement of the VTCs.** The MLSPP plans to expand its VTCs in the next couple of years. Along with\nthe expansion in the number of VTCs, they are also expected to have a capability to respond to the\nneeds of the labor market through a constant adaptation of the training content and the teaching and\nlearning processes. <sup>67</sup> The strategy will draw on the skills demand assessment and is expected to include\nthe following aspects for the development of efficient and effective VTCs: (a) physical infrastructure\nstandards; (b) training module development/improvement guidelines to ensure the relevance of\ncurricula and qualifications to labor market needs; (c) lifelong learning path for changing roles,\ncompetences, and professional development of the VTC teachers and trainers; (d) ways of ensuring\nactive involvement and participation of employers in training development and delivery; (e)\norganizational structure, management practices, and governance; (f) process chain for training delivery\n\nMention: \"labor force survey data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"One of the survey and administrative sources the project will combine for its labour-market needs analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000709:57:0", "occurrence_id": "0d13efbcf099444127c57bc2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAzerbaijan Employment Support Project (P171250)\n\n\nanalysis to be conducted by using survey and administrative data sources, including the SES’ own\ndatabases, the labor force survey data collected by the national statistical committee, data from the\nfirm registry database, online vacancy bank data, <sup>66</sup> or online ‘live’ job postings available on public\nwebsites. Second, the project will design and implement a qualitative labor market needs assessment\nwith both public and private employers and key stakeholders, such as local chambers. The analysis will\nultimately provide a list of critical occupations and skills most demanded in the market. The occupation\nlist will then serve as the basis for developing a skills demand repository, by employing a skill\nclassification methodology. This repository will then be linked with the vacancies for improved job\nmatching.\n\n\n30. **The activity will further finance the development of a strategy for expansion and**\n**improvement of the VTCs.** The MLSPP plans to expand its VTCs in the next couple of years. Along with\nthe expansion in the number of VTCs, they are also expected to have a capability to respond to the\nneeds of the labor market through a constant adaptation of the training content and the teaching and\nlearning processes. <sup>67</sup> The strategy will draw on the skills demand assessment and is expected to include\nthe following aspects for the development of efficient and effective VTCs: (a) physical infrastructure\nstandards; (b) training module development/improvement guidelines to ensure the relevance of\ncurricula and qualifications to labor market needs; (c) lifelong learning path for changing roles,\ncompetences, and professional development of the VTC teachers and trainers; (d) ways of ensuring\nactive involvement and participation of employers in training development and delivery; (e)\norganizational structure, management practices, and governance; (f) process chain for training delivery\n\nMention: \"firm registry database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Administrative firm registry named among the sources to be combined in the project's labour-market analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000709:57:0", "occurrence_id": "ee9a9bc74791205f18a14f6e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAzerbaijan Employment Support Project (P171250)\n\n\nanalysis to be conducted by using survey and administrative data sources, including the SES’ own\ndatabases, the labor force survey data collected by the national statistical committee, data from the\nfirm registry database, online vacancy bank data, <sup>66</sup> or online ‘live’ job postings available on public\nwebsites. Second, the project will design and implement a qualitative labor market needs assessment\nwith both public and private employers and key stakeholders, such as local chambers. The analysis will\nultimately provide a list of critical occupations and skills most demanded in the market. The occupation\nlist will then serve as the basis for developing a skills demand repository, by employing a skill\nclassification methodology. This repository will then be linked with the vacancies for improved job\nmatching.\n\n\n30. **The activity will further finance the development of a strategy for expansion and**\n**improvement of the VTCs.** The MLSPP plans to expand its VTCs in the next couple of years. Along with\nthe expansion in the number of VTCs, they are also expected to have a capability to respond to the\nneeds of the labor market through a constant adaptation of the training content and the teaching and\nlearning processes. <sup>67</sup> The strategy will draw on the skills demand assessment and is expected to include\nthe following aspects for the development of efficient and effective VTCs: (a) physical infrastructure\nstandards; (b) training module development/improvement guidelines to ensure the relevance of\ncurricula and qualifications to labor market needs; (c) lifelong learning path for changing roles,\ncompetences, and professional development of the VTC teachers and trainers; (d) ways of ensuring\nactive involvement and participation of employers in training development and delivery; (e)\norganizational structure, management practices, and governance; (f) process chain for training delivery\n\nMention: \"online vacancy bank data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Online vacancy bank listed among the administrative and survey sources feeding the labour-market needs assessment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000691:2:0", "occurrence_id": "85d0e48807210f3b52003115", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBosnia Health Project (P171150)\n\n\nOther Decision (as needed)\nNA.\n\n**B. Introduction and Context**\n\nCountry Context\n\n**1.** **Bosnia and Herzegovina (BiH) is an upper-middle income country, with a GDP per capita of US$5,951,**\n**and a complex governance system with devolved responsibility for design and implementation of public policy.**\nPer capita income is approximately six times lower than the average per capita income of the European Union.\nApproximately 60% of BiH’s 3.5 million inhabitants live in rural areas, with the north and central areas being most\ndensely populated. The 1995 Dayton Peace Accords afforded the country a degree of stability but created a\ncomplex administrative system which consists of two entities (the Federation of Bosnia and Herzegovina [FBiH]\nand the Republika Srpska [RS]), and one autonomous district (Brcko District). All three have their own\nconstitutions and governments and are politically, administratively, and fiscally autonomous The FBiH has 10\nautonomous cantons and 79 municipalities; Republika Srpska has 7 administrative (non-autonomous) regions\nand 63 municipalities.\n\n**2.** **While BiH achieved GDP growth of 3.1% in 2018, the economy still faces the challenges of**\n**unemployment and high poverty rates.** On average, between 2011 and 2017, BiH experienced relatively low\n(1.9%) GDP growth (World Bank, 2019). Supported primarily by consumption and public investment, economic\ngrowth is projected to gradually increase to 4% by 2021. However, structural challenges remain in relation to\nunemployment and poverty. Although unemployment rates have decreased since 2016, in 2018 the rate of 18.4%\n(Labour Force Survey) remains significant. The poverty rate also remains high, with\n\nMention: \"Labour Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the 18.4 percent 2018 unemployment rate cited in the country's structural-challenge discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000715:9:1", "occurrence_id": "593fff2a9fd2a3962ca8b7ad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Monitoring.** Weak environmental enforcement can be\nstrengthened with a wider deployment of citizen driven IT tools to report and monitor illegal dumping of waste, etc.\nResearch institutions with strong technical, computing and modeling capacity would be deployed to undertake actionoriented analytics, strengthen monitoring of regional waters for plastics, including the use of sensors and satellite data.\nThe project will support research and innovative IT-led monitoring for improved transboundary management of plastic\ndebris (rivers and oceans). With strengthened policies and institutions, supported by regional research and monitoring,\nthe overall regional governance for a more integrated, trans-boundary management of plastic debris across South Asia\nwould improve. It would lead to better decision making over the management of marine plastic debris and better\nprotection of marine ecosystems and management of natural capital assets.\n\n(d) **Project Management Office at SACEP with Financial Agent Support.** A regional project of this size and context with\nunderlying weak regional institutions, requires a special approach to project management. The optimum arrangement\nbalances a need for efficiency and skills to work with a wide network of partners with care to limit the project\nmanagement capacity burden on regional institutions to functions like coordination, convening, and monitoring and\nevaluation that need to be stronger for the longer term and will likely require strengthening SACEP as an institution.\n_Financial Agent Support._ Project management functions such as financial management, procurement, and ESF screening\nservices would be sourced through a competitive tender to identify a financial agent with a strong capacity and track\nrecord to manage resources of this magnitude and meet World Bank fiduciary requirements. The selected entity should\nbe independent and free from any conflicts of interest of recipients of the IDA grant funds but may have an interest to\nuse their involvement to build their own capacity to understand the plastic waste market better to finance downstream\ncircular economy investments. Although this arrangement is less common, some specialized World Bank and global\nenvironment programs such as the Montreal Protocol have used outsourcing to financial agents for core services\n\nMention: \"satellite data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Sensor and satellite observations proposed for monitoring plastic pollution in regional waters under IT-led monitoring.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000667:23:1", "occurrence_id": "6694f76e69dd47ee312ca5ce", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the same\ndistrict in order to minimize inter-communal conflicts—an issue that was raised repeatedly during the Project\nconsultations and preparation. Therefore, the districts that will be focus of Phase 1 of the Project are: ensure the\nfollowing districts: Taolagnaro, Amboasary Sud, and Betroka in the Anosy region; Ambovombe, Tsihombe and\nBeloha for the Androy region, and Morombe, Beroroha and Ankazoabo for the Atsimo Andrefana region as\noutlined in the map below. An additional criteria for the selection of these districts was the regional proximity to\neach other which would allow for economies of scale and efficiencies in implementation.\n\n\n**58.** **According to preliminary results from the 2018 census,** <sup>**15**</sup> **the total target beneficiaries in the 9 districts**\n**will be 1,410,550 covering 134 communes** . It is important to note that even the most _emergent_ areas still suffer\nfrom high levels of poverty and vulnerabilities. For example in the districts of Tsihome and Belohda in the region\nof Androy, poverty levels reach 91 percent with communities facing recurrent drought, however, the two districts\nare considered more _emergent_ by the composite index due to increased presence of donor activities (which reflect\nhumanitarian need) and relatively lower levels of insecurity.\n\n\n15 These are unofficial number by INSTAT following up the census conducted in 2018. Official numbers are expected to be final\nby end of 2020\n\n\nSep 22, 2020 Page 24 of 31\n\nMention: \"2018 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Preliminary census results give the 1,410,550 target beneficiaries across 9 districts and 134 communes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000667:23:1", "occurrence_id": "3b0bf5c95701691edafc00f4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the same\ndistrict in order to minimize inter-communal conflicts—an issue that was raised repeatedly during the Project\nconsultations and preparation. Therefore, the districts that will be focus of Phase 1 of the Project are: ensure the\nfollowing districts: Taolagnaro, Amboasary Sud, and Betroka in the Anosy region; Ambovombe, Tsihombe and\nBeloha for the Androy region, and Morombe, Beroroha and Ankazoabo for the Atsimo Andrefana region as\noutlined in the map below. An additional criteria for the selection of these districts was the regional proximity to\neach other which would allow for economies of scale and efficiencies in implementation.\n\n\n**58.** **According to preliminary results from the 2018 census,** <sup>**15**</sup> **the total target beneficiaries in the 9 districts**\n**will be 1,410,550 covering 134 communes** . It is important to note that even the most _emergent_ areas still suffer\nfrom high levels of poverty and vulnerabilities. For example in the districts of Tsihome and Belohda in the region\nof Androy, poverty levels reach 91 percent with communities facing recurrent drought, however, the two districts\nare considered more _emergent_ by the composite index due to increased presence of donor activities (which reflect\nhumanitarian need) and relatively lower levels of insecurity.\n\n\n15 These are unofficial number by INSTAT following up the census conducted in 2018. Official numbers are expected to be final\nby end of 2020\n\n\nSep 22, 2020 Page 24 of 31\n\nMention: \"census conducted in 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Footnote qualifies the beneficiary numbers as unofficial INSTAT follow-up to the 2018 census, pending final official figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000667:7:1", "occurrence_id": "c211fcfe39e69dfc0d6bc87c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 14.** **In** **addition** **to** **the**\n**institutional** **dimensions,**\n**supporting** **sustainable** **and**\n**inclusive development in southern**\n**Madagascar will require attention**\n**to specific vulnerabilities that have**\n**been further exacerbated under**\n**COVID-19** . This includes:\n\n- **A quick social impact assessment**\n**conducted in April 2020, during**\n**the early measures of the COVID**\n**19 lockdown show a unanimous**\n**broad** **perception** **that** **the**\n**southern region will continue to**\n**see a rise in insecurity, civil crimes**\n**and** **_dahalo_** **.** According to national\nsurveys conducted in 2014 (latest\ndata available), <sup>6</sup> [^6: Madagascar Millennium Development Goals, National Monitoring Surveys (2014)] communities in\nAndroy, Anosy and Atsimo\nAndrefana are the most vulnerable\nto security issues. These regions\nmake up the danger “hot spots”\ndue to the _dahalo_ phenomenon.\nThe survey shows that around 13\npercent of households declared\nhaving lost goods or livestock due\nto crime and violence. The average\nmonetary value of the losses was\n\n\n\nAt the outset of the COVID-19 crisis, the social development team\nconduct a social impact assessment in southern Madagascar. The\nassessment highlighted key aspects that require to be monitored\nespecially with the increase of COVID-19 cases and continuation of lock\ndown measures in southern Madagascar which include:\n\n\n  - Impact of dwindling donor financing for non COVID-19 in\nlagging, impoverished and fragile sub-region\n\n  - Emergence of new poor in urban areas that didn’t previously\nreceive donor financing\n\nMention: \"national\nsurveys conducted in 2014\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2014 national surveys establish which southern regions are most vulnerable to insecurity, informing area targeting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000667:7:1", "occurrence_id": "d75ed087a51cae92631cae18", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 14.** **In** **addition** **to** **the**\n**institutional** **dimensions,**\n**supporting** **sustainable** **and**\n**inclusive development in southern**\n**Madagascar will require attention**\n**to specific vulnerabilities that have**\n**been further exacerbated under**\n**COVID-19** . This includes:\n\n- **A quick social impact assessment**\n**conducted in April 2020, during**\n**the early measures of the COVID**\n**19 lockdown show a unanimous**\n**broad** **perception** **that** **the**\n**southern region will continue to**\n**see a rise in insecurity, civil crimes**\n**and** **_dahalo_** **.** According to national\nsurveys conducted in 2014 (latest\ndata available), <sup>6</sup> [^6: Madagascar Millennium Development Goals, National Monitoring Surveys (2014)] communities in\nAndroy, Anosy and Atsimo\nAndrefana are the most vulnerable\nto security issues. These regions\nmake up the danger “hot spots”\ndue to the _dahalo_ phenomenon.\nThe survey shows that around 13\npercent of households declared\nhaving lost goods or livestock due\nto crime and violence. The average\nmonetary value of the losses was\n\n\n\nAt the outset of the COVID-19 crisis, the social development team\nconduct a social impact assessment in southern Madagascar. The\nassessment highlighted key aspects that require to be monitored\nespecially with the increase of COVID-19 cases and continuation of lock\ndown measures in southern Madagascar which include:\n\n\n  - Impact of dwindling donor financing for non COVID-19 in\nlagging, impoverished and fragile sub-region\n\n  - Emergence of new poor in urban areas that didn’t previously\nreceive donor financing\n\nMention: \"National Monitoring Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote names the MDG National Monitoring Surveys (2014) as the source of the vulnerability and household figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000709:43:0", "occurrence_id": "e7fd6b75e5390012d93f2cc8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAzerbaijan Employment Support Project (P171250)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Col1|prepared and adopted to<br>better inform job seekers<br>and employers|Col3|Col4|Col5|Col6|\n|---|---|---|---|---|---|\n|Number of communication and<br>dissemination activities conducted per<br>rayon|Calculated as: Number of<br>rayons where<br>communication and<br>outreach activities take<br>place at least once a year<br>|6months<br>|MLSPP<br>|MLSPP<br>|MLSPP<br>|\n|Number of SES staff trained on profiling<br>tools|Calculated as: Number of<br>SES staff trained on profiling<br>tools  (number)<br>|||||\n|Number of SES staff trained on case<br>management tools|Calculated as: Number of<br>SES staff trained on case<br>management tools<br>(number)<br>|every 6<br>months<br>|MLSPP/SES<br>||MLSPP<br>|\n|Number of individual action plans<br>developed for newly registered<br>jobseekers at risk of long-term<br>unemployment|Number of individual action<br>plans developed for newly<br>registered jobseekers at risk<br>of long-term unemployment|||||\n|Labor skills demand assessment is<br>completed|Confirms whether the labor<br>skills demand assessment is<br>completed|every 6<br>months<br>|MLSPP/SES<br>|Ministry data<br>|MLSPP<br>|\n\nMention: \"Ministry data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Ministry-held records named as the source for reporting whether the labour skills demand assessment is complete.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000675:5:0", "occurrence_id": "94da056702f3d4f480b61476", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKosovo Social Assistance System Reform Project (P171098)\n\n\nbecause it is the only poverty-targeted program in the social protection system in Kosovo. <sup>13</sup> In the presence of a coverage\ngap, there is no other instrument capable (based on its objectives and design) to reach a significant portion of the poor\nand needy population.\n\n\n7. **In addition to its low coverage, the adequacy of the SAS benefit is, on average, low in comparison to other social**\n**benefits and especially low for larger families.** On average, the SAS benefit amount represents 39 percent of the total\nconsumption of beneficiaries in the first quintile for consumption; <sup>14</sup> this places the adequacy of social assistance in Kosovo\nabove most countries in Europe and Central Asia. However, the average SAS benefit amount per family, at EUR 83 per\nmonth (according to 2017 Household Budget Survey data) is below that of the basic pension (EUR 90/month) and less\nthan 50 percent of the minimum wage (EUR 170/month). Additionally, the average size of households receiving the SAS\nbenefit is 5.3 members, for an average per capita benefit of just over EUR 15 per month. The SAS benefit is a flat rate\nwhich minimally increases with family size and covers a lower share of the consumption needs of larger families compared\nwith smaller ones. <sup>15</sup> As a result, the incremental benefit amount in response to an additional family member is smaller\nthan that envisaged by the most common equivalence scales and does not reflect adult equivalent family size. <sup>16</sup> The\naverage benefit amount has increased in recent years, but its indexation is done on an _ad hoc_ and discretionary basis\ndespite existing legal rules. Additionally, households enrolled under Category I must have their eligibility reassessed every\n\nMention: \"2017 Household Budget Survey data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the EUR 83 per month average SAS benefit used to judge social-assistance adequacy against pensions and minimum wage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000788:2:1", "occurrence_id": "e4794961126ccf3427774ae5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  has also increased alongside people’s improved living standards. Reflecting these challenges,\nthe total number of official citizen petitions related to environmental problems between 1995 and 2010 increased 11fold. <sup>2</sup> [^2: China Environmental Statistics Annual Report, cited in: Lingling, Y, et al. (2013). National capacity, civic organizations and\nenvironmental letters from contemporary China. Chinese Public Administration.]\n\n3. **Recognizing the emergent challenges, China is embarking upon a transition to a more balanced and sustainable**\n**economic growth model** . China’s national 12 <sup>th</sup> Five Year Plan (FYP, 2011-2015) highlighted the need for ‘green\ndevelopment’ and committed to establish a resource-saving and environmental-friendly society. The 13 <sup>th</sup> FYP (20162020) and the 19 <sup>th</sup> Party Congress Report (October 2017) called for a “beautiful China” founded in a new era of\n“ecological civilization” by pursuing productivity and innovation-driven development; improving equitable access to\nbasic public services; and reversing environmental degradation. The 2015 Resolution of the State Council for\n_Acceleration of Ecological Civilization Progress_ set goals for water quality and resource management improvements.\nThe 13 <sup>th</sup> Ecological and Environmental Protection FYP (2016-2020) reiterated these goals, setting additional goals for\nsoil pollution control, main water pollutants reduction, water management, and the safety of water for human\nconsumption.\n\n4. **China is now an upper middle-income country with complex development challenges and realizing such transition**\n**will require a new set of institutional reforms.** While China has made impressive economic and social development\ngains, its per capita income and other indicators remain below the average of OECD countries. The next generation of\nreforms will not only need to sustain the hard-won gains but increasingly focus on productivity increases and\ninnovation, coupled with institutional improvements that can respond to new challenges\n\nMention: \"China Environmental Statistics Annual Report\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"source\", \"summary\": \"Footnote origin, via a secondary citation, of the eleven-fold rise in environmental citizen petitions between 1995 and 2010.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000739:4:0", "occurrence_id": "59e1d81bbee8467cfa663140", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStatistical Innovation and Capacity Building in Kiribati (P171380)\n\n\n**6.** **National Statistics Offices (NSOs) lack funding to meet the prohibitive costs of data collection in the Pacific.** The\nper-interview costs of data collection in the Pacific are some of the highest in the world. These outcomes are partially the\nresult of systemic issues, including sparse populations and high travel costs due to the island geography. However, these\nissues are compounded by outdated methodologies and inefficient use of technology. Although the systemic challenges\nwill remain a significant factor in data collection costs in the Pacific, there is scope to substantially reduce costs by\nintegrating proven methods from other parts of the world. One example is switching from a diary method for collecting\nconsumption data to a recall method, which can reduce the number of days required at each location, thereby decreasing\npersonnel costs, a significant component of the survey budget. In addition, integrating new technology, such as Computer\nAssisted Personal Interviewing (CAPI), reduces the need to print and transport paper questionnaires, which has decreased\nthe costs of data collection in certain contexts despite the upfront cost of hardware investment.\n\n\n|Country|Male LFP (15+)|Female LFP (15+)|Gender gap (M – F)|\n|---|---|---|---|\n|Fiji|75.4|40.8|34.6|\n|Samoa|38.9|23.7|15.2|\n|Solomon Islands|80.3|62.5|17.8|\n|Tonga|74.2|45.1|29.1|\n|Vanuatu|79.6|61.5|18.1|\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Country|Latest HIES/<br>poverty<br>report|Gender-disaggregated indicator|Col4|\n\nMention: \"HIES\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Table column naming each country's latest household income and expenditure / poverty report as the indicator source.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000723:83:2", "occurrence_id": "7293fde2d79a9e2d5162d6c2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: u>Año 5</u>\n\n\n<u>Unidades</u> <u>2019</u> <u>2020</u> <u>2021</u> <u>2022</u> <u>2023</u> <u>2024</u> <u>2025</u>\n\n\n**A. Escenario sin el proyecto**\n\n\n\nGasto en Educación\n\n\n\nUSD\nmillones 1,017 1,021 1,075 1,111 1,179 1,190 1,197\n\n\n\nGasto en Educación % del PIB 3.77 3.62 3.66 3.62 3.69 3.58 3.46\n\n\n**<u>Presupuesto de costos del proyecto</u>**\n**B. Escenario con estimaciones de base usando**\n**proyecciones FMI**\n\n\n\nPIB (precios actuales)\n\n\n\nUSD 31,92 33,22 34,58\nmillones 26,989 28,202 29,394 30,657 2 5 1\n\n\n\nCrecimiento PIB (precios actuales) % 3.6% 4.5% 4.2% 4.3% 4.1% 4.1% 4.1%\nCosto del proyecto por año (costos\nrecurrentes) 0.0 0.3 0.3 0.3 0.3 0.3\n\nCosto acumulativo 0.0 0.3 0.6 0.9 1.2 1.5\n\nGasto en educación incluyendo proyecto USD 1,017 1,021 1,076 1,112 1,179 1,191 1,197\n\n\nPágina 84 de 86\n\nMention: \"proyecciones FMI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Fund projections define the baseline macro scenario against which the project's recurrent costs are set out.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000778:58:0", "occurrence_id": "4d3dc39e1226e2b8607a195a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUganda: Investment for Industrial Transformation and Employment (P171607)\n\n\n\n\n\n\n\n|Col1|Col2|Col3|M&E systems<br>on web<br>based<br>platform|Col5|Sector Foundation)|\n|---|---|---|---|---|---|\n|Value of investment in manufacturing|Firm level investment<br>reported by investors to the<br>Uganda Investment<br>Authority|Annual<br>Abstract<br>|<br>Uganda<br>Investment<br>Authority<br>|Data reported by firms.<br> <br>|Uganda Investment<br>Authority, Investment<br>and Aftercare division.<br>|\n|Income Generating Opportunities for<br>Refugees|<br>Refugee Economic<br>Opportunities: Refugee in<br>self employment, micro<br>enterprises, suppliers and<br>formally employed.|Annually<br>|<br>Project web<br>platform and<br>survey<br> <br>|Data collection from<br>MFIs and other<br>intermediaries, project<br>web platform and<br>surveys.<br>|<br>PSFU in collaboration<br>with UBOS<br>|\n|Number of firms benefiting in RHDs|All MSMEs benefiting RHDs<br>|Annual<br>|Tracking data<br>from web<br>platform and<br>surveys<br> <br>|<br>Survey<br>|PSFU and UBOS<br>|\n|The percentage of jobs saved, that would<br>be lost\n\nMention: \"Data reported by firms\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source column stating the manufacturing-investment indicator rests on firm-level reports to the investment authority.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000778:89:1", "occurrence_id": "f95f25c93f376f9767a3f930", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  platform will be granted to firms that meet a set of eligibility criteria (will not required\nformalization) and will specifically target female-owned enterprises and MSMEs that employ refugees. The\ndigital platform will represent a dynamic marketplace for accelerators, incubators and consultancies – eligible\nservice providers will be vetted and selected based on a competitive tender – and will lay the foundation for\nan improved business development environment for MSMEs, increasing their ability to take advantage of\ngrowing markets in manufacturing and export supply chains.\n\n\n**6.** **Implementation support and monitoring & evaluation.** The objective of this component is to assist in the\ndevelopment and implementation of the different facilities, and to provide guidance and support by collecting\nand measuring key output and impact data. The monitoring component of the M&E approach will require\ndata collection across different dimensions of the Project: (1) Performance Tracking data (e.g. sales,\nemployment, wages, transactions, etc); (2) Activity Tracking data reflecting the Theory of Change (e.g. as\nreflected by the number of loans serviced on the project’s web platform, the number of receivables purchased\non the factoring platform, the number of refugees receiving business training, etc.); (3) Key Results data (e.g.\nvalue of private investment in manufacturing firms, formal employment in manufacturing firms, etc); and (4)\nKey Risks tracking (e.g. project implementation performance, NPL ratio of banks and PAR of MFIs, etc). The\nevaluation component will build on the data collected under the monitoring component, but additionally\nfocus on implementing a structured impact evaluation to measure the impact and attribution of the different\npolicies under the project i.e. incubators, industrial parks, etc.,\n\n\nPage 84 of 92\n\nMention: \"Performance Tracking data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Firm-level performance stream (sales, employment, wages, transactions) the project's monitoring design will collect.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000778:89:1", "occurrence_id": "6e6d67e56a32593db6b4d725", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  platform will be granted to firms that meet a set of eligibility criteria (will not required\nformalization) and will specifically target female-owned enterprises and MSMEs that employ refugees. The\ndigital platform will represent a dynamic marketplace for accelerators, incubators and consultancies – eligible\nservice providers will be vetted and selected based on a competitive tender – and will lay the foundation for\nan improved business development environment for MSMEs, increasing their ability to take advantage of\ngrowing markets in manufacturing and export supply chains.\n\n\n**6.** **Implementation support and monitoring & evaluation.** The objective of this component is to assist in the\ndevelopment and implementation of the different facilities, and to provide guidance and support by collecting\nand measuring key output and impact data. The monitoring component of the M&E approach will require\ndata collection across different dimensions of the Project: (1) Performance Tracking data (e.g. sales,\nemployment, wages, transactions, etc); (2) Activity Tracking data reflecting the Theory of Change (e.g. as\nreflected by the number of loans serviced on the project’s web platform, the number of receivables purchased\non the factoring platform, the number of refugees receiving business training, etc.); (3) Key Results data (e.g.\nvalue of private investment in manufacturing firms, formal employment in manufacturing firms, etc); and (4)\nKey Risks tracking (e.g. project implementation performance, NPL ratio of banks and PAR of MFIs, etc). The\nevaluation component will build on the data collected under the monitoring component, but additionally\nfocus on implementing a structured impact evaluation to measure the impact and attribution of the different\npolicies under the project i.e. incubators, industrial parks, etc.,\n\n\nPage 84 of 92\n\nMention: \"Activity Tracking data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Project activity stream (loans serviced, receivables purchased, refugees trained) tracking delivery against the Theory of Change.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000778:89:1", "occurrence_id": "7ecfd4d9f040162171bc59cb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  platform will be granted to firms that meet a set of eligibility criteria (will not required\nformalization) and will specifically target female-owned enterprises and MSMEs that employ refugees. The\ndigital platform will represent a dynamic marketplace for accelerators, incubators and consultancies – eligible\nservice providers will be vetted and selected based on a competitive tender – and will lay the foundation for\nan improved business development environment for MSMEs, increasing their ability to take advantage of\ngrowing markets in manufacturing and export supply chains.\n\n\n**6.** **Implementation support and monitoring & evaluation.** The objective of this component is to assist in the\ndevelopment and implementation of the different facilities, and to provide guidance and support by collecting\nand measuring key output and impact data. The monitoring component of the M&E approach will require\ndata collection across different dimensions of the Project: (1) Performance Tracking data (e.g. sales,\nemployment, wages, transactions, etc); (2) Activity Tracking data reflecting the Theory of Change (e.g. as\nreflected by the number of loans serviced on the project’s web platform, the number of receivables purchased\non the factoring platform, the number of refugees receiving business training, etc.); (3) Key Results data (e.g.\nvalue of private investment in manufacturing firms, formal employment in manufacturing firms, etc); and (4)\nKey Risks tracking (e.g. project implementation performance, NPL ratio of banks and PAR of MFIs, etc). The\nevaluation component will build on the data collected under the monitoring component, but additionally\nfocus on implementing a structured impact evaluation to measure the impact and attribution of the different\npolicies under the project i.e. incubators, industrial parks, etc.,\n\n\nPage 84 of 92\n\nMention: \"Key Results data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Outcome-indicator stream such as private investment in manufacturing firms and formal employment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000748:5:0", "occurrence_id": "6adf48bca377ccfbf16a864e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSecond Karachi Water and Sewerage Services Improvement Project (KWSSIP-2) (P171422)\n\n\nwater reduction program developed under SOP-1, including the design and establishment of district\nmeter areas, improvements in leak detection and repair, and a program for maintenance of meters.\n\n\nv. _Human Resources and Gender:_ The project will provide technical assistance and training to KWSB in\n\nhuman resource management, including gender equality. Human Resource (HR) systems (software and\nhardware) and workplace facilities will be upgraded and staff training will be provided.\n\n\nvi. _Capacity Building in Asset Management and Financial Management:_ The project will provide additional\n\nsupport to the implementation of an asset management program and improvements to the existing\nGIS of KWSB.\n\n\nvii. _Infrastructure resilience and adaptation to climate change:_ The 2012 KWSB Climate Adaptation Study\n\nidentified eleven distinct-climate-related threats to specific KWSB assets. The project will provide\ntechnical assistance and small investments for infrastructure resilience and climate change adaptation.\n\n\nviii. _Preparation and implementation of Water Safety Plans_ : The project will provide technical assistance\n\nand training to prepare Water Safety Plans to improve drinking water quality in the system.\n\n\nix. _Water Wastage Reduction Program and Water Audits_ : The project will support water audits and\n\neducation campaigns to help customers reduce wasteful water use.\n\n\nx. _PPP Studies and Transaction Advice_ : The project will provide funding for studies to examine whether\n\nand how private investments in wastewater reuse and non-revenue water reduction could provide\nadditional resources to augment the impact of public investments under this project.\n\n\nb. **_Component 2 – Securing Sustainable Water Supply & Sewerage Services (US$560 million of which IBRD_**\n\n**_US$ 224 million – to be confirmed):_** The proposed infrastructure investment plan for KWSSIP-2 addresses\nthree interlinked structural problems in Karachi’s water and sanitation\n\nMention: \"2012 KWSB Climate Adaptation Study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Identified eleven climate-related threats to utility assets, shaping the project's resilience and adaptation investments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000748:2:1", "occurrence_id": "a8b06e09aa8c798a5c190c97", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  compared to pre-COVID19</mark>\n<mark>projections for growth of 2.4% for FY20 and 3.0% for FY21.</mark>\n\n\n2. **Karachi is Pakistan’s largest city and is its economic and financial hub and main port.** <sup>**1**</sup> It contributes\n15 percent of national Gross Domestic Product (GDP) and the largest share of national tax revenues, industrial\nemployment, manufacturing and high-end services <sup>2</sup> . The city dominates the economic landscape of Sindh,\ncontaining nearly all its industrial and service economy and the majority of its labor force. It has continued to\nbe the engine of economic growth for the country, given its size, location, and industrial and human capital.\n\n\n3. **The Karachi City Diagnostic and Transformation Strategy has identified significant gaps in public**\n**infrastructure.** Institutional strengthening and investments aiming to enhance livability, competitiveness and\nsustainability have emerged as priorities, including additional investments in water supply and sewerage.\n\n\nSectoral and Institutional Context\n\n\n4. **Karachi’s water supply services are falling far short of the expanding city’s needs.** Many residents lack\naccess to piped water <sup>3</sup> and even those formally connected often experience inadequate, irregular and\ninequitable service. Typical service quality is limited to a few hours per day at most at low pressure, with\n\n\n1 Pakistan Bureau of Statistics, 2017 census, provisional summary\n2 World Bank, Transforming Karachi into a Livable and Competitive Megacity – A City Diagnostic and Transformation Strategy, Washington DC, 2018; p.2;\n3 Data from PSLM 2014-15 combined with 2017 census data.\n\n\nAug 8, 2020 Page 3 of 9\n\nMention: \"2017 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Provisional 2017 census summary cited for the population base and service-connection figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000748:2:1", "occurrence_id": "a3deedfb3a19170998681565", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  compared to pre-COVID19</mark>\n<mark>projections for growth of 2.4% for FY20 and 3.0% for FY21.</mark>\n\n\n2. **Karachi is Pakistan’s largest city and is its economic and financial hub and main port.** <sup>**1**</sup> It contributes\n15 percent of national Gross Domestic Product (GDP) and the largest share of national tax revenues, industrial\nemployment, manufacturing and high-end services <sup>2</sup> . The city dominates the economic landscape of Sindh,\ncontaining nearly all its industrial and service economy and the majority of its labor force. It has continued to\nbe the engine of economic growth for the country, given its size, location, and industrial and human capital.\n\n\n3. **The Karachi City Diagnostic and Transformation Strategy has identified significant gaps in public**\n**infrastructure.** Institutional strengthening and investments aiming to enhance livability, competitiveness and\nsustainability have emerged as priorities, including additional investments in water supply and sewerage.\n\n\nSectoral and Institutional Context\n\n\n4. **Karachi’s water supply services are falling far short of the expanding city’s needs.** Many residents lack\naccess to piped water <sup>3</sup> and even those formally connected often experience inadequate, irregular and\ninequitable service. Typical service quality is limited to a few hours per day at most at low pressure, with\n\n\n1 Pakistan Bureau of Statistics, 2017 census, provisional summary\n2 World Bank, Transforming Karachi into a Livable and Competitive Megacity – A City Diagnostic and Transformation Strategy, Washington DC, 2018; p.2;\n3 Data from PSLM 2014-15 combined with 2017 census data.\n\n\nAug 8, 2020 Page 3 of 9\n\nMention: \"Data from PSLM 2014-15\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household survey data combined with 2017 census figures to characterise household water service.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000715:2:0", "occurrence_id": "aaa0cd88b18c85744b1e39ed", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPlastic free Rivers and Seas for South Asia (P171269)\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n**While economic growth across the South Asia Region (SAR) accelerates, sustainable management of its**\n**environment and natural resource base is critical for sustainable growth.** SAR is the fastest growing region in the\nworld, with an average GDP growth rate of 7.2percent over the past decade. At the same time, being home to over\n1.92 billion people (one fourth of the world’s population), SAR is not only the most populous, but also the most densely\npopulated geographical region in the world at 299 people per square kilometer. The population growth rate in the\nregion is also accelerating at 1.27percent per annum in 2016.\n\n**Strong economic growth, coupled with rapid population growth and increasing population density, has been putting**\n**pressure on the region’s environment and natural resources** (marine and coastal habitats, freshwater sources,\nforests, fisheries, and wildlife). These ecological systems or natural assets, which are transboundary in nature,\nbackstop economic systems: they provide valuable economic and other benefits and services. Their degradation and\noveruse, however, jeopardize hard-fought development gains, and affect livelihoods, especially of the poor.\n\n**Regional cooperation across SAR could generate positive development outcomes.** While it is generally recognized\nthat cooperation across countries offer substantial benefits, the political economy of regional cooperation in SAR is\ncomplex with a variety of influencers at the national and sub-national levels in each country. Regional Organizations\n(RO) exist, but they face limitations in development effectiveness. While there are dozens of regional organizations\nestablished with varying mandates, The South Asia Cooperative Environment Program (SACEP), a regional organization\nbased in Colombo, Sri Lanka has proved that it can convene member-states and\n\nMention: \"population growth rate\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"The 1.27 percent per annum 2016 regional rate cited as evidence of accelerating population pressure on the environment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000778:23:1", "occurrence_id": "3442a1dd6481807dd34235e0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nframework advance the integration of refugees and foster an enabling environment for them to live in safety and\nwith dignity. Uganda is also implementing the Comprehensive Refugee Response Framework (CRRF) in accordance\nwith the New York Declaration for Refugees and Migrants that is guiding and framing all refugee-related activities.\nThese, combine with the aim to ensure that the refugee response provides support to both refugees and RHDs,\nputting them on a path to self-reliance and by bridging humanitarian and development ways of working. Uganda\nhas reiterated its ongoing commitments to refugee protection in the context of COVID-19 in Uganda’s Strategy\nNote on Support to Refugees and RHDs. Since initial eligibility for WHR resources, Uganda has been implementing\nRefugee and Host Community Sector Response Plans for: education; health; water and environment; and jobs and\n\n\n36 Based on the Uganda Refugee Protection Assessment Update August 2-18, 2021.\n\n\nPage 18 of 92\n\nMention: \"Uganda Refugee Protection Assessment Update\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote source for the statement on refugee and host-community response planning and eligibility.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000822:11:2", "occurrence_id": "b1a3168389489587d066ed1d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the participation of civil society will be supported through the establishment of a multistakeholder platform on public procurement foreseen under Subcomponent 1.6.\n\n\n_37._ **_Subcomponent 1.5. Strengthening human resources management and promoting the participation of women_**\n**_in the public service._** The proposed objective of this subcomponent is twofold: 1) to strengthen the internal controls on\nwages and salaries of civil servants; and 2) to increase the participation of women in the civil service.\n\n\n_38._ **To achieve the first goal, the project will help create a single database for human resources and payroll**\n**management in the public sector.** The database will be based on existing systems, which are currently not integrated,\nnotably SGIRH (managed by the Ministry of Civil Service), the databases for teachers, police and army (managed by their\nrespective ministries), and SYGECPAF (managed by the payroll department in the Ministry of Budget). To that end, the\nproject plans to finance the following activities: i) elaboration and adoption of an institutional and regulatory framework;\n\n\n20 This is linked to one of the prior actions currently under discussion with the government in the context of the DPO which is about government\napproval and submission to Parliament of the draft law creating a new corporate income tax (CIT) and personal income tax (IRPP);\n21 This is linked to another prior action currently under discussion with the government in the context of the DPO, namely the publication of the\n2017 report on tax expenditures and issuance of the decree systematizing the collection of data on tax expenditures and their presentation in an\nannex to the Finance Law.\n\n\nNov 18, 2019 Page 12 of 22\n\nMention: \"databases for teachers, police and army\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Sectoral staff databases the planned single public-sector HR and payroll database will be consolidated from.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000803:18:1", "occurrence_id": "29bfb77d21cb3258cdcc28c5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ; (ii) the coordination of stakeholder involvement in project\nactivities; and (iii) the implementation of a citizen engagement plan and feedback mechanism to inform project\nimplementation. Among the citizen engagement mechanisms, and apart from the GRM, the project will include\nbeneficiaries’ satisfaction surveys, beneficiary collaboration to monitoring, and establishing where applicable of\nsustainable models of post-project assessments involving citizens in targeted locations.\n\n\n60. **This component will fund the collection of project data, gender analysis, and SME and sector-based surveys to**\n**assess progress against project indicators, as needed.** If possible, the project will also finance an impact evaluation of the\nSME and entrepreneurship support activities to have more adequate measure of the impact of these initiatives. This will\nsupport building institutional knowledge in country. All activities and data collection will be gender disaggregated. Given\nthe COVID-19 and conflict issues, the project will leverage alternative data collection techniques including phone-based\nsurveys for the collection of feedback from local communities, as well as feedback loop mechanisms, and making use of\nthe Geo-Enabling Initiative for Monitoring and Supervision (GEMS) and mobile/satellite data collection applications. A very\nprecise well-budgeted M&E plan approved by the World Bank will be critical to leverage on these and other tools.\n.\n\n\n\n\n\n61. **The Environmental risk classification is rated as Substantial.** The risk classification takes into account: (a)\n\n\nFeb 01, 2021 Page 19 of 23\n\nMention: \"beneficiaries’ satisfaction surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Citizen-engagement instrument the project will run to feed beneficiary feedback into implementation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000803:18:1", "occurrence_id": "ec4777afbaa1b5d395799cd7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ; (ii) the coordination of stakeholder involvement in project\nactivities; and (iii) the implementation of a citizen engagement plan and feedback mechanism to inform project\nimplementation. Among the citizen engagement mechanisms, and apart from the GRM, the project will include\nbeneficiaries’ satisfaction surveys, beneficiary collaboration to monitoring, and establishing where applicable of\nsustainable models of post-project assessments involving citizens in targeted locations.\n\n\n60. **This component will fund the collection of project data, gender analysis, and SME and sector-based surveys to**\n**assess progress against project indicators, as needed.** If possible, the project will also finance an impact evaluation of the\nSME and entrepreneurship support activities to have more adequate measure of the impact of these initiatives. This will\nsupport building institutional knowledge in country. All activities and data collection will be gender disaggregated. Given\nthe COVID-19 and conflict issues, the project will leverage alternative data collection techniques including phone-based\nsurveys for the collection of feedback from local communities, as well as feedback loop mechanisms, and making use of\nthe Geo-Enabling Initiative for Monitoring and Supervision (GEMS) and mobile/satellite data collection applications. A very\nprecise well-budgeted M&E plan approved by the World Bank will be critical to leverage on these and other tools.\n.\n\n\n\n\n\n61. **The Environmental risk classification is rated as Substantial.** The risk classification takes into account: (a)\n\n\nFeb 01, 2021 Page 19 of 23\n\nMention: \"SME and sector-based surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Funded surveys used to measure progress against project indicators for SME and entrepreneurship support.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000792:11:1", "occurrence_id": "fa58e59eca5cb9d023ab4c26", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  sector also slowed down. Total\nemployment grew by 1.8 percent between 2011 to 2016, compared with 3.1 percent per year between\n2003 and 2010.\n\n3. Bangladesh is one of the most disaster-prone and climate-vulnerable countries in the world. It is\nranked the 6th most climate vulnerable country among 181 countries. Consequently, social vulnerability\nto disasters and climate change is also high. The country also faces considerable development challenges\nposed by its low and flat topography and vulnerability to floods, torrential rains, erosion, storms and tidal\nsurges due to severe cyclones and landslides. Its vulnerability is exacerbated by climate change induced\nincrease in frequency and intensity of extreme weather events, and sea-level rise. Damages and losses\nassociated with a single extreme event impose substantial costs on the national economy.\n\n\n4. In the last two years, Bangladesh has been coping with a large inflow of people displaced from\nMyanmar. As at 31 December 2019, Bangladesh hosts around 1.1 million Displaced Rohingya People (The\nJoint Response Plan (JRP) for Rohingya Humanitarian Crisis 2020, estimates a population of 855,000 DRP,\nof which approximately 459,000 are children). They are concentrated in mostly in congested camps, in\nthe Teknaf and Ukhia upazillas – among the poorest of eight upazillas in the district – where they exceed\nthe host community population. <sup>2</sup> Both host and Rohingya communities have enormous needs for social\nassistance and other services which places a significant strain on an already resource-constrained delivery\nsystem.\n\n\n5. In the face of the crisis, a high level of economic vulnerability is prevalent in the host community.\n\n\n1 World Bank Poverty Assessment (2019) based on Bangladesh Bureau of Statistics upper poverty line.\n2 Upazilas are sub-district administrative units. Unions are sub-upazila administrative units.\n\n\nPage 1 of 47\n\nMention: \"World Bank Poverty Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote source for the economic-vulnerability claim about host communities in the crisis context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000792:11:1", "occurrence_id": "f1366c97d7cbf0d9cbd3a6af", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  sector also slowed down. Total\nemployment grew by 1.8 percent between 2011 to 2016, compared with 3.1 percent per year between\n2003 and 2010.\n\n3. Bangladesh is one of the most disaster-prone and climate-vulnerable countries in the world. It is\nranked the 6th most climate vulnerable country among 181 countries. Consequently, social vulnerability\nto disasters and climate change is also high. The country also faces considerable development challenges\nposed by its low and flat topography and vulnerability to floods, torrential rains, erosion, storms and tidal\nsurges due to severe cyclones and landslides. Its vulnerability is exacerbated by climate change induced\nincrease in frequency and intensity of extreme weather events, and sea-level rise. Damages and losses\nassociated with a single extreme event impose substantial costs on the national economy.\n\n\n4. In the last two years, Bangladesh has been coping with a large inflow of people displaced from\nMyanmar. As at 31 December 2019, Bangladesh hosts around 1.1 million Displaced Rohingya People (The\nJoint Response Plan (JRP) for Rohingya Humanitarian Crisis 2020, estimates a population of 855,000 DRP,\nof which approximately 459,000 are children). They are concentrated in mostly in congested camps, in\nthe Teknaf and Ukhia upazillas – among the poorest of eight upazillas in the district – where they exceed\nthe host community population. <sup>2</sup> Both host and Rohingya communities have enormous needs for social\nassistance and other services which places a significant strain on an already resource-constrained delivery\nsystem.\n\n\n5. In the face of the crisis, a high level of economic vulnerability is prevalent in the host community.\n\n\n1 World Bank Poverty Assessment (2019) based on Bangladesh Bureau of Statistics upper poverty line.\n2 Upazilas are sub-district administrative units. Unions are sub-upazila administrative units.\n\n\nPage 1 of 47\n\nMention: \"Bangladesh Bureau of Statistics upper poverty line\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Official statistical threshold defining the poverty line on which the cited assessment's estimates rest.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000788:4:0", "occurrence_id": "9aa8ecfd85cfc673b3a33465", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nYangtze River Revitalization Program (P171644)\n\n\nthe region was estimated to be USD 5.7 trillion (RMB 40.3 trillion) <sup>10</sup> [^10: China Statistical Yearbook, 2019]   - placing it as the third largest economy in the\nworld. The region is also important for national food and energy security, producing almost two-thirds of China’s rice,\naround 50 percent of grain production, more than 70 percent of fishery production and over three-quarters of the\nnation’s hydropower generation.\n\n\n8. **An Ecological and Environmental Protection Plan for the YREB was jointly issued by the NDRC, the Ministry of**\n**Environmental Protection** <sup>**11**</sup> [^11: The Ministry of Environmental Protection is replaced by The Ministry of Ecology and Environment after the 2018 institutional\nreform.] **, and the Ministry of Water Resources in 2017** <sup>12</sup> [^12: Ministry of Environmental Protection, National Development and Reform Commission, and Ministry of Water Resources, Yangtze River\n[Economic Belt Ecological Environmental Protection Plan, Launched on July 17, 2017. (link)](http://www.mee.gov.cn/gkml/hbb/bwj/201707/t20170718_418053.htm)] **.** The government program for protection\nand restoration of the Yangtze River is focused on pollution control and ecological conservation (two handholds),\npromoting the integrated management of water pollution control, water ecosystem restoration, and water resources\nconservation (three water concerns), addressing pollution from industrial, agricultural, domestic and inland water\ntransport sectors (four pollution source controls), and aims to develop a harmonious, healthy, clean, safe, and\nbeautiful Yangtze River (five goals). These measures have been accompanied by a legislative plan for the Yangtze River\nProtection Law which is currently under review by the National People’\n\nMention: \"China Statistical Yearbook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited source of the USD 5.7 trillion regional GDP estimate for the Yangtze region.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000822:3:1", "occurrence_id": "cfd2eef53e14d7e62cc01b99", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  support the core functions of a State, let\nalone a more robust development agenda of the country that deals with the widespread poverty and the pronounced\nneeds for basic social services. Hence, the protracted decline in public revenue undermines the prospects for sustained\nand inclusive growth and is weakening the essential functions of the State and to hinder new government social programs\n(e.g. free education).\n\n\n6. **The low revenue mobilization in the DRC reflects inadequate tax policies and ineffective institutional and**\n**administrative arrangements and processes.** On the _policy_ side, one of the major causes of weak domestic revenue\nmobilization is the magnitude of tax exemptions conservatively estimated at 2.3% of GDP by the World Bank tax gap\nstudy <sup>3</sup> [^3: Etude sur les Ecarts Fiscaux, Banque mondiale, 2017.] . These exemptions are discretionally granted under a set of 13 legislations, including the Tax and customs code,\nthe Mining code, special mining conventions, specific-sector codes (e.g. for agriculture), the Investment code, etc. A main\narea of exemptions is related to mining, oil and minerals contracts, where favorable negotiated terms are granted to\ncompanies by the Government. Another significant weakness is the multiplicity of tax laws and regulations. Apart from\ncustoms duties which are consolidated in a single text, several elements of internal taxation are dispersed in a multitude\nof codes, laws, decrees and other texts both at the level of the central government and the decentralized entities. This\ngenerates significant economic risks and costs for private sector as well as individuals.\n\n\n7. **On the** **_administrative and institutional_** **sides, low capacity, fragmentation, and suboptimal arrangements are**\n**evident** . Revenue collection is fragmented between three main agencies- the Internal Revenue Service ( _Direction Générale_\n_des Impôts,_ DGI) for the collection of internal taxes; the Directorate General of Customs and Excise Duties\n\nMention: \"World Bank tax gap\nstudy\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the 2.3 percent of GDP estimate of tax exemptions used to diagnose weak revenue mobilisation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000822:3:1", "occurrence_id": "e91b38f4a9f81257e6d9b0f6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  support the core functions of a State, let\nalone a more robust development agenda of the country that deals with the widespread poverty and the pronounced\nneeds for basic social services. Hence, the protracted decline in public revenue undermines the prospects for sustained\nand inclusive growth and is weakening the essential functions of the State and to hinder new government social programs\n(e.g. free education).\n\n\n6. **The low revenue mobilization in the DRC reflects inadequate tax policies and ineffective institutional and**\n**administrative arrangements and processes.** On the _policy_ side, one of the major causes of weak domestic revenue\nmobilization is the magnitude of tax exemptions conservatively estimated at 2.3% of GDP by the World Bank tax gap\nstudy <sup>3</sup> [^3: Etude sur les Ecarts Fiscaux, Banque mondiale, 2017.] . These exemptions are discretionally granted under a set of 13 legislations, including the Tax and customs code,\nthe Mining code, special mining conventions, specific-sector codes (e.g. for agriculture), the Investment code, etc. A main\narea of exemptions is related to mining, oil and minerals contracts, where favorable negotiated terms are granted to\ncompanies by the Government. Another significant weakness is the multiplicity of tax laws and regulations. Apart from\ncustoms duties which are consolidated in a single text, several elements of internal taxation are dispersed in a multitude\nof codes, laws, decrees and other texts both at the level of the central government and the decentralized entities. This\ngenerates significant economic risks and costs for private sector as well as individuals.\n\n\n7. **On the** **_administrative and institutional_** **sides, low capacity, fragmentation, and suboptimal arrangements are**\n**evident** . Revenue collection is fragmented between three main agencies- the Internal Revenue Service ( _Direction Générale_\n_des Impôts,_ DGI) for the collection of internal taxes; the Directorate General of Customs and Excise Duties\n\nMention: \"Etude sur les Ecarts Fiscaux\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote giving the French title of the same World Bank tax-gap study behind the exemption estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000792:14:1", "occurrence_id": "638aef8ad1e8e6b70a680316", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  undermine nutritional status and\naccess to health services.\n\n16. The prevalence of Gender Based Violence (GBV) is high within the host community in Chattogram\ndivision <sup>**11**</sup> **.** A survey (2015) on violence against women found that 48 percent <sup>12</sup> of ever-married women in\nChattogram division experienced violence. In addition, the provision of GBV response services as part the\nhealth system has been limited, approximately 85 percent of the host communities have limited access\nto GBV response service provision <sup>13</sup> [^13: Joint Response Plan (2019)] . Vital gaps include clinical management of rape, psychosocial\nsupport/mental health, and age appropriate GBV response services for adolescents. In CXB, GBV response\nservices are provided at one One-Stop Crisis Center (OCC) and two One-Stop Crisis Cells <sup>14</sup> [^14: There are currently two one-stop crisis cells – one in Teknaf attached to the UzHC, and one in Ukhia which is mainly for the Rohingya refugees.], that are not\nadequate to cover the total need for service provision.\n\n17. The DRP’s needs for HNP services are more acute because of their living conditions prior to their\narrival, which have been exacerbated by the conditions in the camps. The DRP includes a large number of\nwomen, children and other vulnerable groups, who had poor access to and knowledge about HNP services\nin the past. Low immunization rates (less than 4 percent) prior to their arrival in Bangladesh makes the\nDRP children more vulnerable to infectious diseases, as illustrated by the diphtheria outbreak. These\n\n\n8 District segregated Data is available in MICS only. The latest MICS is of (2012-2013)\n9 The national statistics does not include the refugees\n10 MOHFW, Health Bulletin 2016, Cox’s Bazar Civil Surgeon Office.\n11 Cox’s Bazar is a district in Chattogram division\n12 Violence Against Women (VAW)\n\nMention: \"survey (2015) on violence against women\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 48 percent prevalence figure for violence against ever-married women in the division.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000861:3:2", "occurrence_id": "4be11a8ca1cde0cb3dbc4d93", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nand (c) management of two employment centers, one in Majuro and one in Ebeye, which aim to connect job-seekers with\nemployers and training/work-related opportunities. The Scholarships Board offers education scholarships and loans to\nMarshallese citizen to pursue tertiary education abroad and in RMI. Scholarships are conditional on performance and\nreturning to RMI for work after graduation. <sup>8</sup> Scholars who return to RMI are eligible for some support in finding\nemployment (they are referred to the public service commission (PSC), put on lists shared with the private sectors, or\naccompanied to potential employers’ offices).\n\n\n5 The last Household Income and Expenditure Survey in the RMI was carried out in 2002, limiting the extent to which trends in poverty and other\nquality-of-life indicators can be accurately examined. The term ‘hardship’ relates specifically to national poverty measures. Incidence of ‘hardship’ is\ndefined as the proportion of the population whose expenditure is below a threshold that includes an allowance for minimum food and non-food\nneeds.\n6 US Graduate School (2018).\n7 Job corps is a US run training institution in Hawaii offering 2-years TVET courses targeting 18-25 years old high school graduate.\n8 It requires to maintain a GPA of 2.5 or higher and one year of scholarship equals one year of service. From latest cohort (2018 and 2017), 67% and\n86% of students having completed their program came back.\n\n\nMar 10, 2020 Page 4 of 14\n\nMention: \"Household Income and Expenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"validate\", \"summary\": \"Cited as the last national household survey, whose 2002 date limits how far poverty trends can be examined.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000862:2:1", "occurrence_id": "ec4f426b2e5eac6e15ae505f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , the country entered into a Compact of Free Association (CFA) with the U.S. A series of Compact Sector\nGrants (CSGs) were created to support economic development (including investment in education), scheduled\nto expire in 2023, and current projections indicate that the corpus funds will not be sufficient to fully replace the\nexpiring grants. This presents an important challenge to the country’s fiscal sustainability and the capacity of the\nGovernment of RMI (GoRMI) to maintain and expand access to and the quality of public services, especially those\ndelivered to the poor. Between 2003 and 2013, the number of Marshallese that emigrated to the US numbered\n7,228, equivalent to 13.9 percent of RMI’s total population over the period. <sup>3</sup> Employers face challenges to recruit\nand retain Marshallese workers, particularly unskilled workers, because the possibility of migration (and\nremittances) results in a high reservation wage.\n\n3. **The prevalence of ‘hardship’** <sup>**4**</sup> **in RMI is amongst the highest in the region and is especially severe outside**\n**of the urban centers of Majuro and Ebeye.** More than 50 percent of the population experience hardship\n\n\n1 World Development Indicators (2018)\n2 IMF, 2018 Article IV Report\n3 US Graduate School (2018).\n4 The last Household Income and Expenditure Survey in the RMI was carried out in 2002, limiting the extent to which trends in poverty\nand other quality-of-life indicators can be accurately examined. The term ‘hardship’ relates specifically to national poverty measures.\nIncidence of ‘hardship’ is defined as the proportion of the population whose expenditure is below a threshold that includes an\n\n\nNov 06, 2020 Page 3 of 11\n\nMention: \"Household Income and Expenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"validate\", \"summary\": \"Footnote flagging the 2002 survey date as the constraint on reading hardship and poverty trends.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000848:5:1", "occurrence_id": "8f92c8cab8dda7e8aab7aa8e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *Tourism is critical to SVG’s economy, and the COVID-19 pandemic severely impacted the sector** . Small businesses\nin SVG, reliant on tourism, faced considerable challenges, with total visitor expenditures plummeting from US$223.14\nmillion in 2019 to US$83.38 million in 2020, a decline of over 62 percent. In 2019, the sector welcomed 404,097 visitors,\nincluding stay-over arrivals, cruise passengers, excursionists, and yacht passengers, with stay-over visitors contributing\nnearly half of the expenditure. The United States was the largest source for stay-over arrivals (29,737, or 35 percent of\nthe total), followed by the Caribbean (28%) and the United Kingdom (15%). Recovery began in late 2021, driven by\nvaccinations in key markets and pent-up demand, leading to a record visitor expenditure of US$228.78 million in 2024,\nsurpassing pre-pandemic levels due to a 20% increase in stay-over arrivals **.** <sup>1</sup> [^1: Source: https://www.eccb-centralbank.org/statistics-category/external-sector/selected-tourism-statistics]\n\n\n5. **SVG could position itself well over the medium term in several high-value markets that can leverage Blue**\n**Tourism, if several challenges are addressed.** <sup>2</sup> [^2: Blue tourism is a sustainable alternative to traditional tourism practices in coastal and maritime areas, with a focus on activities with low\nenvironmental impact, conservation of natural resources, and promotion of local communities.] While the tourism policy framework has improved, gaps remain in\ncomprehensive spatial planning, inadequate zoning for marine activities, as well as insufficient control over\ndevelopment and enforcement of regulations. Climate change impacts, such as beach erosion and reef health decline,\nthreaten the sector if not properly managed. A recent survey of blue tourism enterprises highlighted issues with litter,\nwaste management, and sanitation, alongside the need for reef regeneration and expanded environmental\n\nMention: \"survey of blue tourism enterprises\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Recent enterprise survey supplying the litter, waste and reef-regeneration constraints cited for the sector.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000862:2:0", "occurrence_id": "cb14c9d87b055b0a5bfeb0b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRMI Education and Skills Strengthening Project (P171924)\n\n\n\n\n\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n\n1. **The Republic of the Marshall Islands (RMI) is one of the world’s smallest, most isolated, and vulnerable**\n**nations.** The country consists of 29 atolls and five individual islands (24 out of these 34 atolls and islands are\ninhabited) with a population estimated at 58,413 in 2018 <sup>1</sup> [^1: World Development Indicators (2018)] of which around 28,000 (53 percent) reside in Majuro\n(the country’s capital) and 10,000 (18 percent) in Ebeye, the two largest urban centers. From the country’s small\nsize and remoteness ensues difficulty to achieve economies of scale and high costs of economic activity,\nconstraining the competitiveness of exports, and complicating the provision of public services. The nation is\nhighly exposed to fluctuations in international food and fuel prices. Economic growth was 3.5 percent in 2017\nbut is predicted to slow to about 1.5 percent over the medium term. <sup>2</sup> [^2: IMF, 2018 Article IV Report] The COVID-19 pandemic is likely to worsen\nthe slowdown, impacting trade, inflation, remittances and domestic consumption. Economic management in\nRMI is further complicated by the thin capacity, typical of public sectors in very small states.\n\n2. **RMI’s relationship with the United States (U.S.) underpins the nation’s fiscal framework and makes high**\n**rates of out-migration possible, strongly influencing labor market outcomes** . Following its independence in\n1986, the country entered into a Compact of Free Association (CFA) with the U.S. A series of Compact Sector\nGrants (CSGs) were created to support economic development (including investment in education), scheduled\nto expire in 2023, and\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote source of the 2018 population estimate of 58,413 used in the remoteness and scale argument.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000803:3:2", "occurrence_id": "fc1d4885305e0a74662520d7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ** Since October 2017, insurgents have launched attacks on\nstate targets, including police stations, as well as on villages, and have increasingly turned their attention to health centers\nand schools. By January 17, 2021, 755 incidents of conflict had been recorded, with nearly 3,800 fatalities, both from\norganized violence and from civilian targeting. <sup>10</sup> By late 2020, 171 schools had been destroyed, and more than one third\nof Cabo Delgado’s 130 health units had been destroyed or shut down. <sup>11</sup> The number of internally displaced people stood\nat nearly 600,000 by December 2020, according to UNOCHA and government estimates. Although the conflict has an\nexternal dimension, with reports of links to international violent extremist groups and foreign fighters joining the ranks of\ninsurgents, the movement is homegrown in Cabo Delgado, with its own political, economic, and social dynamics. The main\n\n\n5 United Nations. 2020. Human Development Index – Gender Inequality.\n6 Lachler and Walker. 2018. Jobs Diagnostic. World Bank.\n7 Ministry of Gender, Children and Social Protection. 2016. Gender Profile in Mozambique.\n8 World Bank. 2020. Mozambique Economic Update: Mind the Rural Investment Gap.\n9 Government of Mozambique. 2019. Post Disaster Needs Assessment.\n10 The Armed Conflict Location & Event Data Project. 2021. Cabo Delgado Conflict.\n11 Data is from the Cabo Delgado Provincial Government and Education Cluster HNO collected by World Bank FCV team in November 2020.\n\n\nFeb 01, 2021 Page 4 of 23\n\nMention: \"Armed Conflict Location & Event Data Project\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"source\", \"summary\": \"Reference-list source for the 2021 Cabo Delgado conflict data underpinning the FCV context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000803:3:2", "occurrence_id": "6abdb21d93f84e690f2db946", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ** Since October 2017, insurgents have launched attacks on\nstate targets, including police stations, as well as on villages, and have increasingly turned their attention to health centers\nand schools. By January 17, 2021, 755 incidents of conflict had been recorded, with nearly 3,800 fatalities, both from\norganized violence and from civilian targeting. <sup>10</sup> By late 2020, 171 schools had been destroyed, and more than one third\nof Cabo Delgado’s 130 health units had been destroyed or shut down. <sup>11</sup> The number of internally displaced people stood\nat nearly 600,000 by December 2020, according to UNOCHA and government estimates. Although the conflict has an\nexternal dimension, with reports of links to international violent extremist groups and foreign fighters joining the ranks of\ninsurgents, the movement is homegrown in Cabo Delgado, with its own political, economic, and social dynamics. The main\n\n\n5 United Nations. 2020. Human Development Index – Gender Inequality.\n6 Lachler and Walker. 2018. Jobs Diagnostic. World Bank.\n7 Ministry of Gender, Children and Social Protection. 2016. Gender Profile in Mozambique.\n8 World Bank. 2020. Mozambique Economic Update: Mind the Rural Investment Gap.\n9 Government of Mozambique. 2019. Post Disaster Needs Assessment.\n10 The Armed Conflict Location & Event Data Project. 2021. Cabo Delgado Conflict.\n11 Data is from the Cabo Delgado Provincial Government and Education Cluster HNO collected by World Bank FCV team in November 2020.\n\n\nFeb 01, 2021 Page 4 of 23\n\nMention: \"Cabo Delgado Provincial Government and Education Cluster HNO\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Provincial government and Education Cluster humanitarian needs overview collected by the World Bank FCV team in November 2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000908:33:0", "occurrence_id": "a5c11e72d13ec77c42e83937", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHUBEI SMART AND SUSTAINABLE AGRICULTURE PROJECT (P172224)\n\n\naccess to inspection reports have increased consumer confidence in food quality and safety in both New Zealand and\nDenmark.\n\n\n58. The Ag Observatory concept has been successfully implemented by the World Bank in collaboration with client\ngovernments in the Africa Region, providing near real-time and high-resolution agricultural weather information that\nallows Governments to proactively monitor the weather-related performance factors of agricultural production\nsystems. The Ag Observatory's insight is based on 1.5 million “virtual weather stations” (VWS) generated on demand\nfrom a combination of data from ground stations, and satellite platforms. The application of Big Data and Machine\nLearning (using published algorithms) then allows the generation of a contiguous 9km x 9km weather dataset that is\nused for advanced analytics linking agricultural meteorology, crop and livestock performance, and a variety of\nsocioeconomic and socio-political metrics for decision support. By harnessing the remote sensing and high-resolution\nreal-time weather data with local cropping calendars, it is possible to make early projections of crop yield anomalies\nfrom sub national to global scales and thus provide early warning of potential food shocks several months in advance of\nnormal harvest periods. The design of Component 1 of this project draws on that experience.\n\n\n**III.** **IMPLEMENTATION ARRANGEMENTS**\n\n\n**A. Institutional and Implementation Arrangements**\n\n\n59. Institutional arrangements for project implementation have been established at the provincial level and at the\nfive project counties, and will be further detailed in the Project Operations Manual (POM), which must be to the Bank’s\nsatisfaction. _Project Leading Groups (PLGs)_ of high-level decision-makers from relevant key agencies are needed to\nprovide oversight, strategic guidance, and inter-agency coordination for the project at province and county levels. In\naddition to DARA and its relevant departments,\n\nMention: \"contiguous 9km x 9km weather dataset\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Gridded weather surface built from ground stations, satellites and machine learning, used for crop and food-security analytics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000908:33:0", "occurrence_id": "76761edaae7d7693efc22fad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHUBEI SMART AND SUSTAINABLE AGRICULTURE PROJECT (P172224)\n\n\naccess to inspection reports have increased consumer confidence in food quality and safety in both New Zealand and\nDenmark.\n\n\n58. The Ag Observatory concept has been successfully implemented by the World Bank in collaboration with client\ngovernments in the Africa Region, providing near real-time and high-resolution agricultural weather information that\nallows Governments to proactively monitor the weather-related performance factors of agricultural production\nsystems. The Ag Observatory's insight is based on 1.5 million “virtual weather stations” (VWS) generated on demand\nfrom a combination of data from ground stations, and satellite platforms. The application of Big Data and Machine\nLearning (using published algorithms) then allows the generation of a contiguous 9km x 9km weather dataset that is\nused for advanced analytics linking agricultural meteorology, crop and livestock performance, and a variety of\nsocioeconomic and socio-political metrics for decision support. By harnessing the remote sensing and high-resolution\nreal-time weather data with local cropping calendars, it is possible to make early projections of crop yield anomalies\nfrom sub national to global scales and thus provide early warning of potential food shocks several months in advance of\nnormal harvest periods. The design of Component 1 of this project draws on that experience.\n\n\n**III.** **IMPLEMENTATION ARRANGEMENTS**\n\n\n**A. Institutional and Implementation Arrangements**\n\n\n59. Institutional arrangements for project implementation have been established at the provincial level and at the\nfive project counties, and will be further detailed in the Project Operations Manual (POM), which must be to the Bank’s\nsatisfaction. _Project Leading Groups (PLGs)_ of high-level decision-makers from relevant key agencies are needed to\nprovide oversight, strategic guidance, and inter-agency coordination for the project at province and county levels. In\naddition to DARA and its relevant departments,\n\nMention: \"high-resolution\nreal-time weather data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Remote-sensing weather inputs combined with local cropping calendars to project yield anomalies and warn of food shocks.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000880:3:1", "occurrence_id": "cd333e1ac83ce1c213d897d8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Liberia now lags its neighbors\nacross all competitiveness drivers, and along with the enabling areas of Infrastructure (136th) and the Financial\nSystem (127th). Liberia is also falling behind in the areas critical for business to compete in a post-COVID world.\nFor example, ICT Adoption (139th), Skills (127th) and Innovation Capacity (135th). Similarly, Liberia ranked 175th\nin the Doing Business rankings, and while credit to the private sector increased from 7.7 percent in 2009 to 14.0\npercent in 2019, it remains behind both the regional and fragile state averages. According to the 2017 WB\nEnterprise Survey, 39 percent of Liberian firms identified access to finance as a major constraint keeping them\nfrom expanding their businesses. Likewise, access to basic financial services is also limited with only 17 percent of\nadults having a bank account and 36 percent holding an account at a financial institution or with a mobile money\nprovider.\n\n\n8. **COVID 19 has put further strain on Liberian firms with Business Pulse Surveys showing that 50 percent of**\n**all Liberian firms had at least temporarily closed or not re-opened by June 2021, after the Government-imposed**\n**lockdown.** More than 50 percent of firms in August 2021 continued to report problems in paying bills, rent or\nwages, compared to almost 70 percent in June 2021. Cash flow challenges seem to have improved for\nfood/accommodation sectors by August 2021. 22 percent of all businesses reported difficulty in obtaining financial\nservices. Higher levels of firms in the manufacturing and trade sectors reported difficulty in August 2021\n(compared to June 2021). Finally, more than two-thirds of firms reported decreased sales in June 2021 following\na lockdown period which imposed restrictions on consumer and business activity.\n\n\n1 World Bank (2016) “Shockwaves: Managing the impacts of climate change on poverty.” Climate Change and Development Series.\nWashington, DC\n\nMention: \"2017 WB\nEnterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the finding that 39 percent of Liberian firms cite access to finance as a major constraint on expansion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000880:3:1", "occurrence_id": "6c8af9fdde3a5c021d72ec49", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Liberia now lags its neighbors\nacross all competitiveness drivers, and along with the enabling areas of Infrastructure (136th) and the Financial\nSystem (127th). Liberia is also falling behind in the areas critical for business to compete in a post-COVID world.\nFor example, ICT Adoption (139th), Skills (127th) and Innovation Capacity (135th). Similarly, Liberia ranked 175th\nin the Doing Business rankings, and while credit to the private sector increased from 7.7 percent in 2009 to 14.0\npercent in 2019, it remains behind both the regional and fragile state averages. According to the 2017 WB\nEnterprise Survey, 39 percent of Liberian firms identified access to finance as a major constraint keeping them\nfrom expanding their businesses. Likewise, access to basic financial services is also limited with only 17 percent of\nadults having a bank account and 36 percent holding an account at a financial institution or with a mobile money\nprovider.\n\n\n8. **COVID 19 has put further strain on Liberian firms with Business Pulse Surveys showing that 50 percent of**\n**all Liberian firms had at least temporarily closed or not re-opened by June 2021, after the Government-imposed**\n**lockdown.** More than 50 percent of firms in August 2021 continued to report problems in paying bills, rent or\nwages, compared to almost 70 percent in June 2021. Cash flow challenges seem to have improved for\nfood/accommodation sectors by August 2021. 22 percent of all businesses reported difficulty in obtaining financial\nservices. Higher levels of firms in the manufacturing and trade sectors reported difficulty in August 2021\n(compared to June 2021). Finally, more than two-thirds of firms reported decreased sales in June 2021 following\na lockdown period which imposed restrictions on consumer and business activity.\n\n\n1 World Bank (2016) “Shockwaves: Managing the impacts of climate change on poverty.” Climate Change and Development Series.\nWashington, DC\n\nMention: \"Business Pulse Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Firm surveys showing half of Liberian firms had closed or not re-opened by June 2021 under the lockdown.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000880:6:1", "occurrence_id": "5bb5564a71315230dcbcd395", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  from achieving its objectives,\nincluding high operational costs coupled with a low volume of transactions and limited number of participants –\nand a renewed NEPS implementation is warranted.\n\n\n17. **The lack of a modern credit information system that addresses the information gap in the credit market**\n**is one of the key factors contributing to the low level of access to finance for SMEs.** The current public credit\nregistry, and collateral registry, are limited in their ability to mitigate the banking risk of financial intermediation,\nas they are supported by manual data input, without online access, and do not have historical data. A modern\ncredit registry that is based on a national ID and integrated with other systems was piloted by the Central Bank of\nLiberia (CBL) but has not advanced. The deployment of a modern electronic credit registry that captures borrower\nfinancial profiles to support good credit underwriting, will help to increase efficiencies in the financial\nintermediation process including improved access for SMEs, and to foster a responsible credit culture with positive\nimpact on the lending portfolio of banks and financial institutions.\n\n\n18. **Liberia globally ranks 156th out of 162 countries in the 2019 Gender Inequality index.** This index\nbenchmarks national gender gaps using economic, political, education, and health criteria. Liberia has made\nimportant gains in the Freedom of movement, laws affecting women’s decisions to work, laws affecting women’s\npay, and constraints related to marriage. Liberia enacted legislation protecting women from domestic violence.\nAccording to the WBL 2020 index scores, improvements need to be made in Parenthood and Entrepreneurship;\nAssets; and Pension (Index score of 40, 70, 80, 75 respectively). Labor force participation in Liberia is high based\non the ratio of female to male labor force participation compared to Sub-Saharan Africa, however the gap between\nfemale and male in the employment industry is 9.5% which is large compared to the agriculture (4.0%) and\n\nMention: \"2019 Gender Inequality index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks Liberia 156th of 162 countries on gender gaps across economic, political, education and health criteria.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000880:6:1", "occurrence_id": "62c42df495e0f07cf7c66523", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  from achieving its objectives,\nincluding high operational costs coupled with a low volume of transactions and limited number of participants –\nand a renewed NEPS implementation is warranted.\n\n\n17. **The lack of a modern credit information system that addresses the information gap in the credit market**\n**is one of the key factors contributing to the low level of access to finance for SMEs.** The current public credit\nregistry, and collateral registry, are limited in their ability to mitigate the banking risk of financial intermediation,\nas they are supported by manual data input, without online access, and do not have historical data. A modern\ncredit registry that is based on a national ID and integrated with other systems was piloted by the Central Bank of\nLiberia (CBL) but has not advanced. The deployment of a modern electronic credit registry that captures borrower\nfinancial profiles to support good credit underwriting, will help to increase efficiencies in the financial\nintermediation process including improved access for SMEs, and to foster a responsible credit culture with positive\nimpact on the lending portfolio of banks and financial institutions.\n\n\n18. **Liberia globally ranks 156th out of 162 countries in the 2019 Gender Inequality index.** This index\nbenchmarks national gender gaps using economic, political, education, and health criteria. Liberia has made\nimportant gains in the Freedom of movement, laws affecting women’s decisions to work, laws affecting women’s\npay, and constraints related to marriage. Liberia enacted legislation protecting women from domestic violence.\nAccording to the WBL 2020 index scores, improvements need to be made in Parenthood and Entrepreneurship;\nAssets; and Pension (Index score of 40, 70, 80, 75 respectively). Labor force participation in Liberia is high based\non the ratio of female to male labor force participation compared to Sub-Saharan Africa, however the gap between\nfemale and male in the employment industry is 9.5% which is large compared to the agriculture (4.0%) and\n\nMention: \"WBL 2020 index scores\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Index scores pinpointing where Liberia still needs reform: parenthood, entrepreneurship, assets and pension.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000862:4:1", "occurrence_id": "9178e089ec89c33ba6076178", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  not meet the minimum national standards. <sup>5</sup> [^5: Proficiency scores are the percent of objectives that students have mastered per grade level. This definition does not allow for\ncomparison with the international learning poverty, defined as the percentage of students at age 10 who cannot read fluently and with\ncomprehension. RMI also participates in the Pacific Islands Literacy and Numeracy Assessment (PILNA). Country-level scores were\nrecently obtained, and further analysis will be carried out during preparation.] Among those who chose to enroll\nin post-secondary education at CMI and USP in 2017-18, around 95 percent failed to meet the basic\nrequirements and were required to complete one year of remedial coursework. Furthermore, according to the\nhuman capital index, the learning adjusted years of school in RMI is among the lowest in the Pacific at 5.7 years.\n\n10. **To address the low proficiency levels, additional “catching-up” years have been introduced at entrance**\n**in secondary schools, CMI, and USP.** Around 30 percent of students (in 2018) entering secondary schools are\nenrolled in pre-grade 9 classes. A large majority of students seeking to study at both CMI and USP are required\nto undertake foundational level (also called developmental) courses: it was 83 percent in English and 86 percent\nin Math in 2019 at CMI. Enrollment in developmental courses extend the duration of the program and these\nstudents often use up their Pell grant (from the U.S. Government) <sup>6</sup> [^6: <mark>A Pell Grant is a subsidy the U.S. federal government provides for students who need it to pay for college. Federal Pell Grants are</mark>\n<mark>limited to students with financial need, who have not earned their first bachelor's degree, or who are enrolled in certain post-</mark>\n<mark>baccalaureate programs, through participating institutions.</mark>] early and\n\nMention: \"Pacific Islands Literacy and Numeracy Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Regional literacy and numeracy assessment whose newly obtained country scores will be analysed during project preparation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000882:3:2", "occurrence_id": "4ee41ef6cd983a15779929fe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: AIS) can help improve safety at\nsea. Climate-smart coastal infrastructure can help mitigate severe weather damage risk. Environmental protection and\nsustainable management of fisheries, therefore, must be addressed as part of an integrated effort toward sustainable\nand inclusive growth.\n\n\n3 Coastal area is defined as an area between 50 m below mean sea level and 50 m above the high tide level or\nextending landward to a distance 100 km from shore _. Source:_ United Nations Millennium Assessment. This\ndefinition also applies to coastal states.\n4 http://www.fcwc-fish.org/about-us/member-countries/76-liberia.\n5 http://www.fao.org/ag/agp/agpc/doc/counprof/liberia/liberia.htm.\n\n\nMay 13, 2021 Page 4 of 13\n\nMention: \"United Nations Millennium Assessment\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Authority cited for the definition of 'coastal area' adopted in the analysis, rather than for any figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000882:2:1", "occurrence_id": "6fea075ba01c40a4a35f427b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to curb food\ninsecurity given the country’s reliance on food imports is further weakened. In other words, the impact of COVID-19\nhas exacerbated Liberia’s economic problems and the livelihood of the fishing communities and poses an overall\ndevelopment risk. Poverty is projected to increase from 44.5 percent in 2019 to 45.4 percent in 2020. Real GDP\ncontracted by 3.0 percent in 2020 (compared to a projected growth of 1.6 percent before the COVID-19 outbreak) due\nto unprecedented slowdown in global and domestic activities caused by the pandemic. Fiscal consolidation and\nmonetary tightening further weakened domestic demand in 2020 but saw inflation down to 17.4 percent from 29.6\npercent in 2019. Signs of recovery are in sight in 2021 following the lifting of lockdowns and the availability of vaccines\namid uncertainty and multiple challenges. While the coronavirus outbreak will have long-lasting economic and social\nimpacts for the entire population, these impacts are expected to be substantial for the fishery communities and other\nsegments of the society who are poor and vulnerable due to overexposure, high vulnerability, and a lower ability to\ncope and recover.\n\n\n3. **With a gross national income per capita of US$580 in 2019, Liberia remained among the 10 poorest countries**\n**in the world.** The recent shocks have set progress back by five years in terms of poverty reduction. Extreme poverty\nincidence increased to pre-2012 levels during the two consecutive years of poverty reduction (2019–2020), undermining\nhousehold welfare with three out of four households reporting job losses and two out of three households reporting\nfood insecurity and income losses, according to the High Frequency Phone Survey Report launched in August 2020. <sup>2</sup> By\n\n\n1 Liberia: Macro-Poverty Outlook, Spring Meetings 2020.\n2 According to the High Frequency Phone Survey Report launched in August 2020.\n\n\nMay 13, 2021 Page 3 of 13\n\nMention: \"High Frequency Phone Survey Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports job losses in three of four households and food insecurity in two of three, evidencing welfare deterioration.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000918:2:2", "occurrence_id": "42f19d11e80a286c352a950e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -employed and casual wage workers,\nsuggesting an incomplete and uneven recovery from the pandemic. <sup>8</sup>\n\n\n1 World Bank real GDP forecasts for FY22/23 published in Macro Poverty Outlook, October 2022.\n\n2 Ibid.\n\n[3 World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND. In 2004, India](https://pip.worldbank.org/country-profiles/IND) `’` s extreme poverty rate was 39.9 percent using the\nsame international poverty line.\n4 UNDP (United Nations Development Programme), OPHI (Oxford Poverty and Human Development Initiative). 2022. 2022 Global Multidimensional Poverty Index\n(MPI): Unpacking deprivation bundles to reduce multidimensional poverty. New York.\n[5 World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n[6 US$3.65 per capita per day (2017 PPP). World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n7 Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019 `–` 21 report.\n8 World Bank Macro Poverty Outlook. October 2022. Estimates from PLFS data.\n\n\nNovember 2022 Page 3 of 12\n\nMention: \"National Family Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Government health survey (NFHS-5, 2019–21) footnoted as a source for the health and welfare indicators cited.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000918:2:2", "occurrence_id": "4b089f40426f2aabb2b49938", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -employed and casual wage workers,\nsuggesting an incomplete and uneven recovery from the pandemic. <sup>8</sup>\n\n\n1 World Bank real GDP forecasts for FY22/23 published in Macro Poverty Outlook, October 2022.\n\n2 Ibid.\n\n[3 World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND. In 2004, India](https://pip.worldbank.org/country-profiles/IND) `’` s extreme poverty rate was 39.9 percent using the\nsame international poverty line.\n4 UNDP (United Nations Development Programme), OPHI (Oxford Poverty and Human Development Initiative). 2022. 2022 Global Multidimensional Poverty Index\n(MPI): Unpacking deprivation bundles to reduce multidimensional poverty. New York.\n[5 World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n[6 US$3.65 per capita per day (2017 PPP). World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n7 Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019 `–` 21 report.\n8 World Bank Macro Poverty Outlook. October 2022. Estimates from PLFS data.\n\n\nNovember 2022 Page 3 of 12\n\nMention: \"PLFS data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Labour force survey data underlying the Macro Poverty Outlook estimates cited in the footnote.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000880:10:1", "occurrence_id": "59972ce1d0f3f8fd31fe19b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in turn impacts businesses’\ncompetitiveness and productivity at the firm, sector and economy levels, and stifles private investment. An\nefficient and transparent registration and licensing system is, therefore, an important component of an\ninvestment-enabling environment.\n\n\n29. **The current system for registering and licensing a formal business to operate in Liberia is cumbersome**\n**and inefficient.** Currently, like Denmark, France and Rwanda, Liberia requires only 5 procedures to register a\nbusiness, fewer than 110 other countries. On the other hand, unlike those countries where registration takes five\ndays or less, in Liberia, it officially takes 18 days: better than only 54 other countries. This indicates that the\nprocedures in Liberia are significantly slower. Anecdotal evidence based on private sector consultations reveal\nthat in practice, six to eight weeks and considerable management attention may be expected to obtain a business\nregistration without additional facilitation fees. The time taken is therefore a binding constraint on business\nactivity, with burdensome procedures disproportionately affecting smaller firms. The primary body for regulating\nentry is the Liberia Business Registry (LBR) which is institutionally under MOCI, and as such is constrained,\nparticularly during times of fiscal consolidation and restraint from revenue generation, adequate budgeting,\nincluding staffing. As a result, recent gains made could not be maintained and the program for modernization and\ninnovation has suffered.\n\n\n30. **The GoL seeks to streamline and strengthen the systems to help potential formal firms enter the market**\n**by minimizing the complexity involved in starting a business.** To do so, the GoL envisions LBR becoming a serviceoriented agency capable of immediately responding to business needs. Therefore, the project complements an\nIFC AS operation to support a modern business registration process that incorporates business licensing. The\nobjective of the Sub-component C1.2 is to enable LBR to eventually function as an effective, automated One-Stop\n\nJanuary 5, 2022 Page 11 of 29\n\nMention: \"private sector consultations\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Consultations with firms supplying the evidence that business registration takes six to eight weeks in practice.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000933:5:2", "occurrence_id": "3daa58fe108980621aca04f3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  losses (late planting and harvest) and higher production costs due to reliance on manual labor.\n\n13. **_The conflict has had a severe impact on connectivity of farmers to processors and markets._** Prior to the\nconflict, Luhansk relied on railway and road connections that were used for transportation of agricultural goods to\nprocessing facilities and urban centers/markets now located in NGCAs (e.g. Luhansk City) and in the Russian Federation.\nAs the agricultural sector was oriented to domestic/regional markets, along with serving the demand of the Russian\nFederation, logistic chains, were primarily oriented to Luhansk. Due to the interruption of markets and the loss of access\n\n\n10 This section drawn from SEED (Centre for Sustainable Peace and Democratic Development (SEED), Ukraine survey work in 2018 and 2019 survey\n[data at www.scoreforpeace.org](http://www.scorefor/)\n\n\nDec 05, 2019 Page 6 of 12\n\nMention: \"Ukraine survey work in 2018 and 2019 survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey work cited as the basis for this section's account of conflict-affected livelihoods and severed market links.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000934:3:0", "occurrence_id": "f6990a16cda3f815c9cb8331", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEastern Ukraine: Reconnect, Recover, Revitalize (3R Project) (P172348)\n\n\nline separating Government-Controlled Areas (GCAs) and Non-Governmental Controlled areas (NGCAs) in\nEastern Ukraine.\n\n\n4. **The conflict has severely impacted socioeconomic activity in Ukraine’s eastern industrial heartland of**\n**Donetsk and Luhansk Oblasts.** Prior to the conflict, these areas (referred to as “the Donbas”) accounted for 12.5\npercent of Ukraine’s population and generated 15.7 percent of the country’s total GDP and a quarter of its\nexports. Because of the conflict, an estimated 70 percent of enterprises in the Donbas have reported decreased\ninvestment and revenues, disrupted trade relationships, lack of demand for products, and shrinking\nworkforces. <sup>2</sup> [^2: REACH. 2017. _Thematic Assessment of Livelihoods in Donbas_ [. http://www.reachresourcecentre.info.](http://www.reachresourcecentre.info/)] A World Bank survey of the socioeconomic impacts of the conflict in 2017 highlighted the welfare\nand socioeconomic challenges facing IDPs, veterans, and host communities. <sup>3</sup> [^3: World Bank. 2017. _Ukraine: Socio-Economic Impacts of Internal Displacement and Veteran Return_ .]\n\n\n5. **Since taking office in May 2019, Ukrainian President Volodymyr Zelenskyy has made outreach and**\n**development support to Eastern Ukraine a key policy priority, emphasizing socioeconomic integration of the**\n**region.** This policy shift represents a window of opportunity for the World Bank to support the GoU in promoting\nthe recovery and development of conflict-affected areas. Luhansk Oblast GCAs are proposed as the geographic\nfocus for initial World Bank investment because of their acute lack of connectivity and economic opportunity\ncompared to other areas of Eastern Ukraine, to complement and leverage other international partner funding\nmore heavily concentrated in Donetsk Oblast, and to promote economic recovery of the region\n\nMention: \"World Bank survey of the socioeconomic impacts of the conflict\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey highlighting welfare and socioeconomic challenges facing IDPs, veterans and host communities in 2017.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000933:5:0", "occurrence_id": "13a5a15de974486af77d9ea0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEastern Ukraine: Reconnect, Recover, Revitalize (3R Project) (P172348)\n\n\n**_associated with the future of the region have had economic and social effects_** . Social cohesion data illustrates the nature\nof the challenges of economic recovery in Luhansk. Scores for whether a “positive entrepreneurship environment” exist\nin the Oblast are among the lowest in Ukraine. Support for reforms is relatively weak and below the national average.\nTrust in central and local institutions is low and perceptions of poor accountability of government institutions are\npronounced. <sup>10</sup>\n\n\nSectoral and Institutional Context\n\n10. The sectoral and institutional context for the proposed Eastern Ukraine: Reconnect, Recover, Revitalize (3R\nProject) emerges from three areas of development activity to promote socio-economic revitalization of Luhansk\nOblast/GCAs: agricultural development; transport and connectivity; and service delivery.\n\n11. **_The agricultural sector plays a key role in Ukraine’s overall economic growth and development and is_**\n**_particularly relevant in Luhansk Oblast following industrial losses due to the conflict_** . Agriculture accounts for 10 percent\n(2017) of Ukraine’s overall GDP and 18 percent (2016) of formal employment. Agricultural export is a key driver of\nUkraine’s economy, accounting for nearly 42 percent (US$ 18 billion) of total export value (US$ 43.3 billion in 2017). In\nLuhansk Oblast, the agricultural sector played a significant role in the regional economy prior to the conflict, yet it was\novershadowed by large-scale industrial production, trade, and services. What remains of Luhansk’s economy in\ngovernment-controlled areas of the Oblast after 2014, however, is now dominated by agricultural production. Cereal\nproduction is by far the most significant agricultural sector in the Oblast, accounting for 16 percent (US$ 6 billion) of\nexports. Specifically, over 57 percent\n\nMention: \"Social cohesion data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Cohesion and entrepreneurship-environment scores used to characterise the recovery challenges in Luhansk.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000938:24:1", "occurrence_id": "f37a6c9ca4b56f86aefe5f24", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nbe monitored to ensure indicators’ continuing relevance.\n\n\n55. **External assessments of PFM, tax and customs administrations will provide insights on progress in the**\n**implementation of reforms.** The Project will finance a follow-up Public Expenditure Financial Accountability\n(PEFA) Assessment approximately half way through implementation to monitor progress in the implementation\nof reforms. The last PEFA was undertaken in 2016 using data from 2014. Third party assessments of tax\nadministration (such as a follow-up TADAT) and Doing Business reports will provide additional inputs to project\nmonitoring.\n\n\n**C.** **Sustainability**\n\n\n56. **Development of a fiscal management reform strategy through a broad consultative process will help**\n**signal credible commitment and sustain continuity of the reform agenda** . The Government and MOF leadership\nhave launched ambitious fiscal management reforms, but their political mandate ends in May 2022. The Project\nwill support the development of a fiscal management strategy that lays out the long-term objectives of reforms,\nthe institutional, regulatory and operational elements of the reform agenda, and arrangements for monitoring\nand periodic course adjustments. The fiscal management reform strategy will be developed as part MOF’s process\nto define its enterprise architecture strategy and in accordance with the criteria to be established in the\nOperational Manual (OM).\n\n\n57. **Project sustainability depends on stakeholder support for the ambitious reform agenda over the**\n**medium to long-term.** Development of the fiscal management strategy through a broad consultative process will\nhelp mobilize stakeholder support and establish a broad consensus across social and political stakeholders in\nsupport of the reform agenda and continuity across electoral mandates. Private sector organizations have\nexpressed support for reforms that reduce transaction costs, ensure information security, and improve the\nperformance of tax and customs administrations. Change management activities and communications will\naccompany project implementation to ensure that the public and key stakeholder groups are aware of the\npurpose and impact of reforms. The\n\nMention: \"data from 2014\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Reference vintage of the evidence behind the last PEFA assessment, bounding comparison with the planned follow-up.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001041:6:0", "occurrence_id": "4ca9ca3bfa9cb3f480709ff4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNational Health Insurance (JKN) Reforms and Results Program (P172707)\n\n\n11. Achievement of the PDO will be measured by a set of PDO-level results indicators to be finalized during project\npreparation. At concept stage, some possible PDO indicators include:\n_To measure performance:_\n(1) Coverage defined as the number of active members as a share of the total population of the country (available\n\nfrom BPJS-K administrative data);\n(2) Financial protection defined as total OOP health expenditures as a share of total household consumption\n\n(available from Susenas household survey);\n(3) Member satisfaction rate as defined by BPJS-K (available from BPJS-K administrative data);\n(4) JKN spending on primary care defined as total JKN expenditure paid to primary healthcare facilities as a share of\n\ntotal JKN expenditures (available from BPJS-K administrative data).\n_To measure sustainability:_\n(5) Claims ratio defined as total JKN expenditures over total contributions (available from BPJS-K administrative data);\n(6) Government expenditure on JKN defined as total government expenditure on JKN as a share of total government\n\nexpenditure.\n\n\n**D. Program Description**\n\n\n12. **Improving JKN performance and ensuring its long-term sustainability will require reforms on both the revenue and**\n**expenditure side** . Three main results areas proposed at the concept stage and to be further elaborated during\npreparation will focus on addressing challenges that are integral to the JKN system, namely improving the governance\nand accountability of JKN, raising additional revenues for BPJS-K, and increasing value for money of JKN expenditures.\nHowever, the activities under each results area also help strengthen primary health care and leverage improvements\nin the health sector such as equitable access and quality care.\n\n\nPforR Program Boundary\n\n\n13. **The P\n\nMention: \"BPJS-K administrative data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Insurer administrative records supplying the coverage and member-satisfaction PDO indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001041:6:0", "occurrence_id": "d39ef832650b239cdad6c6df", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNational Health Insurance (JKN) Reforms and Results Program (P172707)\n\n\n11. Achievement of the PDO will be measured by a set of PDO-level results indicators to be finalized during project\npreparation. At concept stage, some possible PDO indicators include:\n_To measure performance:_\n(1) Coverage defined as the number of active members as a share of the total population of the country (available\n\nfrom BPJS-K administrative data);\n(2) Financial protection defined as total OOP health expenditures as a share of total household consumption\n\n(available from Susenas household survey);\n(3) Member satisfaction rate as defined by BPJS-K (available from BPJS-K administrative data);\n(4) JKN spending on primary care defined as total JKN expenditure paid to primary healthcare facilities as a share of\n\ntotal JKN expenditures (available from BPJS-K administrative data).\n_To measure sustainability:_\n(5) Claims ratio defined as total JKN expenditures over total contributions (available from BPJS-K administrative data);\n(6) Government expenditure on JKN defined as total government expenditure on JKN as a share of total government\n\nexpenditure.\n\n\n**D. Program Description**\n\n\n12. **Improving JKN performance and ensuring its long-term sustainability will require reforms on both the revenue and**\n**expenditure side** . Three main results areas proposed at the concept stage and to be further elaborated during\npreparation will focus on addressing challenges that are integral to the JKN system, namely improving the governance\nand accountability of JKN, raising additional revenues for BPJS-K, and increasing value for money of JKN expenditures.\nHowever, the activities under each results area also help strengthen primary health care and leverage improvements\nin the health sector such as equitable access and quality care.\n\n\nPforR Program Boundary\n\n\n13. **The P\n\nMention: \"Susenas household survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household survey supplying the out-of-pocket health expenditure share used as the financial-protection indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001041:2:0", "occurrence_id": "3350fb77a9cb0a3ced198af3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNational Health Insurance (JKN) Reforms and Results Program (P172707)\n\n\n<mark>The review did authorize the preparation to continue</mark>\n\n\n**B. Introduction and Context**\n\n\n1. **Indonesia has made significant progress in recent years with a steadily growing economy and declining poverty**\n**rates.** Supported by a sound macroeconomic framework, real gross domestic product (GDP) expanded by an average\nof 5.5 percent annually between 2010 and 2019, and the size of the economy <sup>1</sup> [^1: Measured in GDP at constant prices.] nearly doubled from IDR 5,478 trillion\nin 2006 to IDR 10,949 trillion (US$1.1 trillion in current prices) in 2019. Strong growth also helped contribute to a\ndecline in poverty lifting 13.6 million people out of poverty between 2000 to 2019. <sup>2</sup> [^2: Statistics Indonesia (Badan Pusat Statistik, BPS) Data.] Currently classified as a lowermiddle-income country, Indonesia had been projected to reach upper-middle-income status within the next five years\n\n   - an outcome now threatened by the COVID-19 outbreak. <mark>While quantifying the magnitude of the economic impact</mark>\n<mark>will likely change drastically given the evolving transmission dynamics and containment measures, preliminary</mark>\n<mark>estimates f</mark> or Indonesia’s GDP growth in 2020 extends from -3.5 percent to 2.5 percent.\n\n\n2. **However, economic growth has not been accompanied by increases in government revenue. This has significant**\n**implications for investments in health which remains underfinanced for a government priority sector.** Indonesia has\none of the lowest revenue-to-GDP ratios in the world at 14 percent in 2017 – consistently trailing its emerging and\ndeveloping market peers by more than 11 percentage points. And, at 14.9 percent of GDP in\n\nMention: \"Statistics Indonesia\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National statistics office data footnoted behind the GDP growth and 2000–2019 poverty-reduction figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000938:40:1", "occurrence_id": "ef25d031dae8dc8f0ff9db21", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: br>assigned to the red<br>channel; B = total<br>import declarations (in<br>the period).<br>|DGA<br>|\n|Use of advance declarations|This indicator measures the<br>level of facility granted by<br>Customs and the willingness <br>of operators to comply with|Semi-<br>annual<br>|Reports from<br>DGA<br>|A / Bx100. A = Number<br>of advance import<br>declarations processed<br>in the period; B = total|DGA<br>|\n\n\n\nPage 30\n\nMention: \"import declarations\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Customs declaration records forming the denominator of the red-channel and advance-declaration indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001021:2:0", "occurrence_id": "f1002fbe540f264a7dbcd793", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMaldives Learning and Measurement Advancement Project\n\n\n98.6 percent, life expectancy is 77.6 years, the infant mortality rate is 7.3 per 1,000 live births, and the\nmaternal mortality ratio is 68 out of 100,000 live births. The Government of Maldives (GoM) is seeking to\naccelerate human capital accumulation, increase employment opportunities for young people, and promote\nequitable economic and social progress in the country.\n\n\nSectoral and Institutional Context\nOver the last few decades, the Maldives has had some notable achievements, particularly in terms of access\nto education. Today, access to primary and lower secondary education are at near universal levels-––a\nremarkable achievement for a country in which only 15 percent of children were enrolled in primary school a\nfew decades ago. While access to higher secondary education remains a concern, the most pressing\nchallenge now facing the Maldives is to improve the quality of education.\n\n\nThe main indicator of the low quality of education is weak learning outcomes at all levels of the general\neducation system. A review of student performance on the most recent 2017 National Assessments of\nLearning Outcomes (NALO) shows that learning outcomes are modest, at best, with substantial regional and\ngender disparities. While the average scores for Dhivehi, English and mathematics (for Grades 4 and 7) hover\naround 50 to 60 percent; but even more concerning is that a significant percent of students fail to\nachievement minimum scores in all subjects. For the first language, Dhivehi, approximately 19 percent of\nGrade 4 and 6 percent of Grade 7 failed to achieve the minimum pass percentage of 40 percent. Likewise, in\nEnglish, about 27 and 35 percent of Grade 4 and Grade 7 students failed to achieve a minimum passing score.\nThe story is similar in mathematics; where approximately 20 and 33 percent of students in Grade 4 and\nGrade 7 failed to achieve a minimum pass score. Moreover, a comparison of results over time, show that\n\nMention: \"2017 National Assessments of\nLearning Outcomes\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"National assessment scores reviewed to show modest learning outcomes with regional and gender disparities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001043:4:1", "occurrence_id": "055c523709eb8dad0c03f76e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  participation, etc. The Ministry of Labor, Health,\nand Social Affairs is mandated to coordinate implementation of this strategy across the government,\nalthough each sectoral agency is responsible for allocating financial resources (CPF FY18-21).\n\n\n--\n\n[1] Recommendations for the National Strategy on Labor Force Participation 2017-2021, a study conducted\nby the Partnership for\n\n\nDevelopment Center with the support of the East-European Foundation\n\n\n[2] World Bank Country Gender Assessment (2014), World Bank Systematic Country Diagnostic (2016),\nMoldova National Gender\n\n\nEquality Strategy (2017), Moldova Gender Equality Portal, and reports by local and international\norganizations (UN WOMEN, SIDA,\n\n\nWomen’s Law Center, Partnership for Development Center, and Soros Foundation)\n\n\n[3] https://promundoglobal.org/wp-content/uploads/2016/03/IMAGES-Moldova-English-web.pdf\n\n\n[4] “VidaSegura” – App to support ending violence against women and girls in the Dominican Republic.\nActivity Concept Note.\n\n\nFeb 04, 2020 Page 5 of 12\n\nMention: \"World Bank Country Gender Assessment\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Reference-list source behind the gender diagnosis underpinning the labour-force participation strategy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001043:4:1", "occurrence_id": "9b8b64e13da73009f30fb639", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  participation, etc. The Ministry of Labor, Health,\nand Social Affairs is mandated to coordinate implementation of this strategy across the government,\nalthough each sectoral agency is responsible for allocating financial resources (CPF FY18-21).\n\n\n--\n\n[1] Recommendations for the National Strategy on Labor Force Participation 2017-2021, a study conducted\nby the Partnership for\n\n\nDevelopment Center with the support of the East-European Foundation\n\n\n[2] World Bank Country Gender Assessment (2014), World Bank Systematic Country Diagnostic (2016),\nMoldova National Gender\n\n\nEquality Strategy (2017), Moldova Gender Equality Portal, and reports by local and international\norganizations (UN WOMEN, SIDA,\n\n\nWomen’s Law Center, Partnership for Development Center, and Soros Foundation)\n\n\n[3] https://promundoglobal.org/wp-content/uploads/2016/03/IMAGES-Moldova-English-web.pdf\n\n\n[4] “VidaSegura” – App to support ending violence against women and girls in the Dominican Republic.\nActivity Concept Note.\n\n\nFeb 04, 2020 Page 5 of 12\n\nMention: \"World Bank Systematic Country Diagnostic\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Diagnostic cited alongside the gender assessment as background for the gender and labour-market analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001043:4:1", "occurrence_id": "3819a6bed3ecde52556302ed", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  participation, etc. The Ministry of Labor, Health,\nand Social Affairs is mandated to coordinate implementation of this strategy across the government,\nalthough each sectoral agency is responsible for allocating financial resources (CPF FY18-21).\n\n\n--\n\n[1] Recommendations for the National Strategy on Labor Force Participation 2017-2021, a study conducted\nby the Partnership for\n\n\nDevelopment Center with the support of the East-European Foundation\n\n\n[2] World Bank Country Gender Assessment (2014), World Bank Systematic Country Diagnostic (2016),\nMoldova National Gender\n\n\nEquality Strategy (2017), Moldova Gender Equality Portal, and reports by local and international\norganizations (UN WOMEN, SIDA,\n\n\nWomen’s Law Center, Partnership for Development Center, and Soros Foundation)\n\n\n[3] https://promundoglobal.org/wp-content/uploads/2016/03/IMAGES-Moldova-English-web.pdf\n\n\n[4] “VidaSegura” – App to support ending violence against women and girls in the Dominican Republic.\nActivity Concept Note.\n\n\nFeb 04, 2020 Page 5 of 12\n\nMention: \"Moldova Gender Equality Portal\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"National gender-equality portal listed among the sources behind the gender analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001052:62:0", "occurrence_id": "5253f5d686a82fb438a15ecd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nReduction of Unintentional POPs through Waste Management in a Circular Economy (P172770)\n\n\nUnder this Sub-components, the project preparation phase aimed to develop and apply criteria and characteristics for\nprioritizing and selecting geographic areas and open dumpsites for the demonstration projects under Component 2,\ncriteria/requirements will cover various characteristics such as physical parameters (e.g., state of waste management\ninfrastructure, locations, operations) as well as adequacy of local waste management (e.g., local operational capacity,\nfunding options, commitment to improve),\n\n**Update of dumps survey**\n\nThe dumps survey of 2017 (2016 Updated Master Plan for the Closure and Rehabilitation of Uncontrolled Dumpsites\nThroughout the Country of Lebanon) which surveyed, assessed, and categorized all existing dumps in Lebanon was\nused as the starting point to introduce some of the updates that happened in the last 4 years (from 2017 to 2021). The\ndumps database was updated with the following information:\n\n`o` **Availability of a SWM plan** in the area served by the dump after 2017 (mainly OMSAR projects, ESFD, PROMARE,\n\nsystem changes in BML, Fnaydek, Aarsal, etc) or any additional plans to build SWM facilities (EIA in preparation,\netc).\n\n`o` **Status of the dumps:** some dumps have already been closed, rehabilitated, or removed.\n\n`o` Based on available data, **update the volume of waste in dumps** by adding the volume generated over the last 4\n\nyears assuming same management scenarios still apply.\n\n  - In case open burning is not taking place and in locations where SWM facilities do not exist, the volume of waste\nwas calculated by adding the pre-existing volume recorded in 2017 to the volume disposed of during the last\n4 years. In the presence of SWM facilities, 80 percent of the calculated\n\nMention: \"dumps survey of 2017\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"National dump survey whose site inventory was used as the baseline for the 2017–2021 updates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001052:62:0", "occurrence_id": "a79f682eed74435944f7f050", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nReduction of Unintentional POPs through Waste Management in a Circular Economy (P172770)\n\n\nUnder this Sub-components, the project preparation phase aimed to develop and apply criteria and characteristics for\nprioritizing and selecting geographic areas and open dumpsites for the demonstration projects under Component 2,\ncriteria/requirements will cover various characteristics such as physical parameters (e.g., state of waste management\ninfrastructure, locations, operations) as well as adequacy of local waste management (e.g., local operational capacity,\nfunding options, commitment to improve),\n\n**Update of dumps survey**\n\nThe dumps survey of 2017 (2016 Updated Master Plan for the Closure and Rehabilitation of Uncontrolled Dumpsites\nThroughout the Country of Lebanon) which surveyed, assessed, and categorized all existing dumps in Lebanon was\nused as the starting point to introduce some of the updates that happened in the last 4 years (from 2017 to 2021). The\ndumps database was updated with the following information:\n\n`o` **Availability of a SWM plan** in the area served by the dump after 2017 (mainly OMSAR projects, ESFD, PROMARE,\n\nsystem changes in BML, Fnaydek, Aarsal, etc) or any additional plans to build SWM facilities (EIA in preparation,\netc).\n\n`o` **Status of the dumps:** some dumps have already been closed, rehabilitated, or removed.\n\n`o` Based on available data, **update the volume of waste in dumps** by adding the volume generated over the last 4\n\nyears assuming same management scenarios still apply.\n\n  - In case open burning is not taking place and in locations where SWM facilities do not exist, the volume of waste\nwas calculated by adding the pre-existing volume recorded in 2017 to the volume disposed of during the last\n4 years. In the presence of SWM facilities, 80 percent of the calculated\n\nMention: \"dumps database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Site database updated with post-2017 changes in waste-management planning, operations and local capacity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001043:2:1", "occurrence_id": "57b7a68accb40b791555ed1c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: CPF\nFY18-21).\n\n\n**Going forward, GDP growth is expected to pick up gradually, but remain below the pre- 2014 average of 5**\n**percent.** In 2016, agriculture recovered, and the economy grew by an estimated 4.1 percent. However,\ninvestment is likely to remain subdued due to high interest rates and only slowly emerging confidence in\nanti-corruption measures and investment climate reforms. In 2017- 18, recovery in the EU and Russia may\npermit an increase in exports and a slow upturn in remittances, leading to a gradual rise in consumption,\nwhich will remain the key driver of growth expected to average about 3.6 percent annually. In the longer\nterm, Moldova’s economic outlook faces several challenges, including macroeconomic and fiscal\nstabilization, economic governance and transparency―especially in the investment climate―and the\nuncertain post-election policy environment (CPF FY18-21).\n\n\n**Efficient, equitable, and transparent public services, such as education, energy, health, transport, and**\n**water, are essential if the productivity of firms and human capital is to be increased** . Limited access,\ninefficiency, and poor quality of services have contributed to social exclusion, persistent poverty and\nvulnerability to shocks, especially in rural areas (CPF FY18-21).\n\n\nSectoral and Institutional Context\n**Gender equality on key indicators such as the Global Gender Equality Index and a national Gender Equality**\n**Index (GEI), is declining** . The Moldova National GEI was developed in order to measure progress of the\nGovernment’s new National Gender Equality Strategy. According to the GEI, developed by a local think tank\n(Partnership for Development Center) and based on 31 indicators in six areas, four areas regressed during\n2009-14, the decline being most evident in the labor market[1]. Second, the same think tank’s\n\nMention: \"Moldova National GEI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"31-indicator national gender index, built by a local think tank, used to show declining gender equality.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000952:5:0", "occurrence_id": "06040373e459a12ee2d5f080", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCote d'Ivoire Jobs and Economic Transformation (P172425)\n\n\nSectoral and Institutional Context\n\n\n**_Overview of Ivoirian Private Sector_**\n\n\n**The Ivoirian private sector is characterized by a large informal sector and a relatively high number of large firms.**\nApproximately 90 percent of firms are informal. <mark>The informal sector constitutes a large part of the economy (up to 70</mark>\n<mark>percent of output, up to 90 percent of employment and c</mark> ontributes 30-40 percent of GDP (up from 20 percent in 2012\n(IMF)). While the overwhelming majority of firms are small or micro-sized (90 percent), value addition of firms in the\nagribusiness, agro-industry, manufacturing and services sectors are dominated by large firms. Small and medium\nenterprises (SMEs) <sup>9</sup> [^9: SME is defined in Côte d’Ivoire as any enterprise that employs less than 200 permanent employees and has an annual turnover less than 1,000,000,000 FCFA\n(equivalent to USD 1,653,350).] account for 95% of formally registered firms, employ 23 percent of the country’s working population\nand contribute 20% of GDP. Most formal private sector jobs are found in larger, older manufacturing firms around Abidjan.\n75.6% of firms report competing against informal or unregistered firms (Enterprise Survey) and 77.2% of employed\nIvorians are self-employed (ag + non-ag). Agricultural wage employment accounts for 2.9% of employment and 19.9% for\nnonagricultural self-employment.\n\n\n**Evidence collected from the Enterprise Survey** <sup>**10**</sup> [^10: Business owners and top managers in 361 manufacturing firms were interviewed from July 2016 through February 2017.] **points to very low labor productivity among Ivoirian firms.** In fact, Côte\nd’Ivoire has one of the\n\nMention: \"Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Firm survey reporting that 75.6 percent of firms compete against informal or unregistered firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001063:2:1", "occurrence_id": "d07806b6b2baad4858b8c2c8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  majority foreign-owned firms closed their doors. Only\n0.6 percent of companies reported revenue growth, and the increases were generally small. <sup>2</sup> [^2: Ibid]\n\n\n3. **The global pandemic has also led to significant household income losses and especially for those in the informal**\n**sector.** Household survey results indicate that 71 percent households saw their income decrease and were unable to meet\ntheir basic living expenses. Only three out of every ten households have enough savings to pay for regular expenses such\nas rent, water and electricity bills, and food. The survey data clearly show that the impact has been greater and more\nwidespread than anticipated and has worsened the living conditions of already vulnerable households. In the short term,\nmany households will have trouble covering this income gap, and the government’s support program will therefore be\nessential to mitigate the shock. <sup>3</sup> [^3: Ibid]\n\n\n**4.** **If the pandemic remains under control locally, Côte d’Ivoire could resume its strong economic performance in**\n**2021.** The economy is expected to gradually recover in 2021–2022, with a rebound in services and renewed productivity\nin industry and agriculture. Should investment rebound, it would help restore productivity growth in the manufacturing\nand food industries. This could subsequently boost exports and fuel private consumption, which could return to prepandemic levels and push GDP growth to 5 percent in 2021. A potential recovery in 2021 will depend on many factors\nincluding: the availability and distribution of vaccine; the speed of government aid disbursements; the management of\ndomestic budget pressures; and the uncertainties related to the current political situation and new exogenous shocks,\nsuch as a deterioration in key commodity prices and a global recession. <sup>4</sup>\n\n\n1 World Bank. 2020. Cote d’Ivoire 10th Economic Update : Cote d’Ivoire and the COVID-19\n\nMention: \"Household survey results\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey showing 71 percent of households saw income fall and could not meet basic living expenses.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001063:2:0", "occurrence_id": "f79ff978f511067a1e1b7c52", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCote d'Ivoire Youth Employment and Skills Development Project - Phase 3 (P172800)\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **With GDP growth estimated at 6.9 percent in 2019 (or 4.2 percent in per capita terms), Côte d'Ivoire continued**\n**to be one of the best performing economies in Sub-Saharan Africa (Figure 1), driven in particular by the expansion of**\n**the middle class, which supported demand across all sectors.** The outlook for 2020 was favorable, with projected growth\nof about 7 percent, but the COVID-19 health situation has driven this projection downward to reflect the slowdown in\nexports and the introduction of COVID-19 containment measures, both of which have slowed economic activity. <sup>1</sup> [^1: World Bank. 2020. Cote d’Ivoire 10th Economic Update : Cote d’Ivoire and the COVID-19 Pandemic. World Bank, Washington, DC. © World Bank.\nhttps://openknowledge.worldbank.org/handle/10986/34559 License: CC BY 3.0 IGO.]\n\n\n2. **GDP growth for Côte d'Ivoire is now expected to be around 1.8 percent for 2020 due to COVID-19’s impact on**\n**businesses and households.** According to data collected in April 2020, COVID-19 has had direct repercussions on Côte\nd'Ivoire’s businesses: reduced working hours, lower sales and revenue, and even partial or total shutdown. Overall, 37.7\npercent of businesses were forced to close (2.4 percent permanently and 35.3 percent temporarily). The business closure\nrate was higher among microenterprises (43 percent), however, than among small and medium-sized enterprises (about\n30 percent). Nearly 35 percent of export firms and 54 percent of majority foreign-owned firms closed their doors. Only\n0.\n\nMention: \"data collected in April 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"April 2020 firm data behind the closure, working-hours and revenue-loss figures under COVID-19.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001052:63:0", "occurrence_id": "5d1abdae028ff7d6d63f919d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nReduction of Unintentional POPs through Waste Management in a Circular Economy (P172770)\n\n\nused to calculate the new volumes to compensate for the accumulated additional volumes. Four scenarios were\nidentified to update the volume calculations (identified above). Dumps with volume of waste less than 5,000 m <sup>3</sup>\nor larger than 200,000 m <sup>3</sup> were considered either as too small or too big for the intervention and thus were\nexcluded.\n4. **The quantity of waste currently dumped at site (t/d)** was collected during the field surveys in 2017. This factor is\nvery important to categorize the size of an active dumpsite and to differentiate it from an abandoned dumpsite.\nRelatively small dumps in which the daily quantity of waste was lower than 5 t/d were eliminated.\n5. **Distance to rivers and streams:** These were originally extracted from the topographic maps of Lebanon 1: 50,000\nscale using heads-up digitizing. After appending all digital blue line maps, a distance to line approach was\nconducted giving a continuous raster data file. The resultant was then intersected with the spatial distribution of\nthe dump sites and collected in the dumpsites database. Dumps distance to rivers or streams that is less than 150\nm was considered in the narrowing down exercise.\n6. **Distance to urban areas:** The map of urban agglomeration was plotted in GIS and the distance to urban areas was\nestablished. This in turn was overlapped with the dumpsites point location layer to include the distance of each\ndump to urban areas. The distance of dumpsites to urban agglomeration that are less than 500 m were retained\nin the narrowing down exercise. Although the quantity of waste burning has more importance than distance to\nurban areas and that is why it shows before on the selection criteria. The threshold of 500 m was used\n\nMention: \"topographic maps of Lebanon\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"1:50,000 topographic maps digitised to derive dumpsite distances to rivers and streams.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001052:63:0", "occurrence_id": "7d6ec2da25e968c3b201b4fc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nReduction of Unintentional POPs through Waste Management in a Circular Economy (P172770)\n\n\nused to calculate the new volumes to compensate for the accumulated additional volumes. Four scenarios were\nidentified to update the volume calculations (identified above). Dumps with volume of waste less than 5,000 m <sup>3</sup>\nor larger than 200,000 m <sup>3</sup> were considered either as too small or too big for the intervention and thus were\nexcluded.\n4. **The quantity of waste currently dumped at site (t/d)** was collected during the field surveys in 2017. This factor is\nvery important to categorize the size of an active dumpsite and to differentiate it from an abandoned dumpsite.\nRelatively small dumps in which the daily quantity of waste was lower than 5 t/d were eliminated.\n5. **Distance to rivers and streams:** These were originally extracted from the topographic maps of Lebanon 1: 50,000\nscale using heads-up digitizing. After appending all digital blue line maps, a distance to line approach was\nconducted giving a continuous raster data file. The resultant was then intersected with the spatial distribution of\nthe dump sites and collected in the dumpsites database. Dumps distance to rivers or streams that is less than 150\nm was considered in the narrowing down exercise.\n6. **Distance to urban areas:** The map of urban agglomeration was plotted in GIS and the distance to urban areas was\nestablished. This in turn was overlapped with the dumpsites point location layer to include the distance of each\ndump to urban areas. The distance of dumpsites to urban agglomeration that are less than 500 m were retained\nin the narrowing down exercise. Although the quantity of waste burning has more importance than distance to\nurban areas and that is why it shows before on the selection criteria. The threshold of 500 m was used\n\nMention: \"dumpsites database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Site database intersected with river-distance rasters to narrow candidate dumpsites.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001052:63:0", "occurrence_id": "2f0529d0d20ad04b4108d719", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nReduction of Unintentional POPs through Waste Management in a Circular Economy (P172770)\n\n\nused to calculate the new volumes to compensate for the accumulated additional volumes. Four scenarios were\nidentified to update the volume calculations (identified above). Dumps with volume of waste less than 5,000 m <sup>3</sup>\nor larger than 200,000 m <sup>3</sup> were considered either as too small or too big for the intervention and thus were\nexcluded.\n4. **The quantity of waste currently dumped at site (t/d)** was collected during the field surveys in 2017. This factor is\nvery important to categorize the size of an active dumpsite and to differentiate it from an abandoned dumpsite.\nRelatively small dumps in which the daily quantity of waste was lower than 5 t/d were eliminated.\n5. **Distance to rivers and streams:** These were originally extracted from the topographic maps of Lebanon 1: 50,000\nscale using heads-up digitizing. After appending all digital blue line maps, a distance to line approach was\nconducted giving a continuous raster data file. The resultant was then intersected with the spatial distribution of\nthe dump sites and collected in the dumpsites database. Dumps distance to rivers or streams that is less than 150\nm was considered in the narrowing down exercise.\n6. **Distance to urban areas:** The map of urban agglomeration was plotted in GIS and the distance to urban areas was\nestablished. This in turn was overlapped with the dumpsites point location layer to include the distance of each\ndump to urban areas. The distance of dumpsites to urban agglomeration that are less than 500 m were retained\nin the narrowing down exercise. Although the quantity of waste burning has more importance than distance to\nurban areas and that is why it shows before on the selection criteria. The threshold of 500 m was used\n\nMention: \"dumpsites point location layer\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Point layer overlaid on urban agglomeration to retain dumps within 500 m of urban areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001111:2:0", "occurrence_id": "0b38c95e050ab9da60d513a4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTax Administration Reform Project in Uzbekistan (P173001)\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n\n1. **Uzbekistan is a lower-middle-income, mineral-rich, double-landlocked country with the largest**\n**population in Central Asia—34 million as of June 2020.** <sup>1</sup> [^1: The annual average population growth was 1.8 percent in the recent five years.] Over the past decade, Uzbekistan has maintained\nhigh and stable economic growth rates and has gradually diversified its economy, while official poverty\nestimates have declined from 27.5 percent in 2001 to 11.4 percent in 2018. <sup>2</sup> [^2: World Bank data suggest that the poverty rate at the lower-middle-income country line was 9.6 percent in 2018.] This decline has been\naccompanied by equity gains, with the incomes of those in the bottom 40 percent of the national income\ndistribution growing faster than those of the upper 60 percent between 2008 and 2013. Similarly,\nUzbekistan’s per capita gross domestic income rose from US$457 in 2001 to US$1,726 in 2019. <sup>3</sup> [^3: In current US dollars.] These\ngains, however, have relied largely on an economic model driven by the state’s dominance in major\nsectors (for example, natural gas, oil, gold, copper, uranium, ferrous metallurgy, chemicals and\npetrochemicals, cotton, wheat, and air and railway transport) and a small and medium business sector\n(for example, horticulture, textile, food processing industry, tourism, and nonbanking financial services).\nThe state’s surplus was accumulated mainly through commodity exports, such as natural gas, gold,\ncopper, and cotton, sold by the state in international markets and obtained domestically mostly from\nstate-owned enterprises (SOEs) at controlled (low) prices. State\n\nMention: \"World Bank data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 9.6 percent 2018 poverty rate at the lower-middle-income country line.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001086:16:0", "occurrence_id": "2215694d353c7e6b97c2fbc4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIntegrated watershed management of the Putumayo-Içá river basin (P172893)\n\n\nthough the future climate scenario does not show severe changes, a potential increase in the occurrence of other factors\nsuch as deforestation and population growth, among others, may increase the potential climate changes. Although the\ninterventions to address this root cause go beyond its proposed scope, the Project will enhance climate change resilience\nvia better understanding of climate scenarios, incorporating climate change into planning instruments, and promoting low\ncarbon sustainable practices.\n\n\n**_Barriers to address environmental threats and their drivers_**\n\n\nTo succeed in strengthening the enabling conditions to advance an IWRM, in order to address the most prevalent\nenvironmental threats and drivers that are present in the Putumayo-Içá, several challenges need to be overcome.\n\n<u>Limited, fragmented, and inaccessible information to support decision making for sustainable integrated water resource</u>\n<u>management. In the Putumayo-Içá watershed, there is already important information and there are several government</u>\ninstitutions, civil society organizations (CSOs), and research institutions already generating additional data and\ninformation. However, this is mostly at the national level, is siloed in specific sectors, and thus not available to support\nholistic decision making by all relevant stakeholders. In addition, knowledge and information gaps and unequal and\nfragmented access to existing information result in uncoordinated, fragmented, and uneven management of natural\nresources. There is insufficient spatial understanding of the social and ecological dynamics and the pressures facing the\nwhole basin and lack of basin-wide in-depth research and analysis of themes of transboundary concern. There are\nseveral data, information, and knowledge management systems that encompass the watershed, including the various\nnational information systems and those that operate at the Amazon watershed scale (for example, Earth Observation,\nIWlearn, <sup>62</sup\n\nMention: \"Earth Observation\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Named among the Amazon-scale information and knowledge systems the watershed's data management draws on.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001069:2:1", "occurrence_id": "9a71af99cdbe7c26f508a727", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 19 Fund. The GoM’s recovery strategy, spearheaded by a\nspecial Economic Watch Committee, is built on: (i) strengthening the health system and implementing an efficient\ntest/trace/isolate strategy to contain further the spread of the virus; and (ii) supporting households and Micro,\nSmall, Medium, Enterprises.\n\n\n4. The GoM has also implemented measures to enhance digital connectivity to better monitor and optimize\n\n\n1 World Health Organization Health Emergency Dashboard for COVID-19, accessed 11/06/2020 - _[Link](https://covid19.who.int/region/emro/country/ma)_ .\n\n\nAug 25, 2020 Page 3 of 9\n\nMention: \"World Health Organization Health Emergency Dashboard for COVID-19\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"source\", \"summary\": \"Footnoted dashboard behind the COVID-19 situation data underpinning the recovery strategy, accessed 11/06/2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001140:2:1", "occurrence_id": "3ac6e197d2fa1e23a67e460c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  citizens. The\npoverty headcount ratio at US$5.50 a day (PPP) dropped from 90.1 to 13.4 percent between 2000 and 2018 <sup>5</sup> .\nHowever, the Moldovan economy moved into recession in 2015 due to weaker external flows, large-scale bank\nfraud, and a drought. Economic recovery since then has now eroded due to the COVID-19 pandemic, combined\nwith another extensive drought in 2020 <sup>6</sup> [^6: Moldova's GDP fell in the second trimester 2020 by 14% in gross terms versus the same period of 2019 (NSO, 2020).] .\n\n\n**2. The social and economic impacts of the COVID-19 pandemic are large and not yet over** . GDP is expected to\ncontract by 5.2 percent in 2020, compared to a pre-crisis growth projection of 3.6 percent. While the economy\nis envisaged to recover in 2021, significant uncertainty remains which will put a drag on economic activity.\nRemittances, which have played a significant role in boosting growth in recent years through their effect on\n\n\n1 The cabinet resigned on December 23, 2020. Parliamentary elections will likely happen in the second half of 2021.\n2 See <u>[https://data.worldbank.org/indicator This 2019 estimate is exclusive of the population in Transnistria.](https://data.worldbank.org/indicator)</u>\n[3 Current US$ for 2019, Atlas method. See https://data.worldbank.org/indicator](https://data.worldbank.org/indicator)\n4 World Bank Group. 2019. Moldova: Rekindling Economic Dynamism. Country Economic Memorandum. World Bank, Washington, DC.\n5 Based on PPP 2018 prices: equivalent to MDL 1,343 per person per month (Household Budget Survey, 2018).\n6 Moldova's GDP fell in the second trimester 2020 by 14% in gross terms\n\nMention: \"Household Budget Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the MDL 1,343 per person per month equivalent expressing the $5.50 a day poverty line.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001086:14:2", "occurrence_id": "0132aee9e62588d7deb37960", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  on the fragile ecosystems\nof the Putumayo-Içá, but more so when there is limited use of modern best practices. This leads to low productivity, poor\noutput quality, weak safety standards, and absence of environmental protection practices, as is often the case with illegal\noperations. <sup>59</sup> [^59: Illegal mining has also been associated with strong negative social impacts such as cultural erosion, prostitution, alcoholism, child labor, highrisk jobs, political corruption, and violence. It has also made the political systems vulnerable to bribes from mining interests.] Illegal mining practices involve the use of mercury to extract gold from dredged sludge, contaminating soil\nand water. <sup>60</sup> [^60: According to the 2013 UNEP Global Mercury Assessment, ASGM is the largest single source of human-driven mercury pollution in the world,\naccounting for 37 percent of all emissions into the atmosphere and into local water sources.] Gold mining can be found along alluvial deposits in the mainstem of the Putumayo-Içá, San Miguel, Guamuéz,\nand Cotue Rivers. Its exploitation, which involves the use of mercury for amalgamation, contributes to mercury discharges\nwhich, as mentioned, contribute to water pollution. In addition, dredging and sluicing sediments and soils causes the\n\n\n56 Bonilla-Castillo, C. A., E. A. Agudelo, C. L. Sanchez-Paez, and G. A. Gomez Hurtado. “Dinámica de la pesca comercial de consumo en el medio Rio\nPutumayo: tres décadas de desembarques en Puerto Leguízamo.” _Revista Colombia Amazónica_ 5 (2012): 129–149.\n57 In the lower Putumayo-Içá a dozen eggs from _P. unifilis_ costs around US$1 and **the animal itself costs between US$10 and US$12** . Páez, V. P.,\nM. A. Morales-Betancourt, C. A. Lasso, O. V. Castaño-Mora, and B. C. Bock (Editores). 2012. _V. Biología y conservación de\n\nMention: \"UNEP Global Mercury Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited for ASGM being the largest human-driven mercury source, at 37 percent of emissions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001142:5:1", "occurrence_id": "125a57b669f6421764c84ddf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  their operations, this would enable ESPs to attract increased commercial financing in addition to\ncreating an enabling environment for private sector led investments in grid scale generation as there would be credible\ndownstream off-takers. Further, the proposed Institutional and regulatory enhancement will support to re-establish\ntransparency, trust, effectiveness, and legitimacy in the government institutions to provide an enabling operating\nframework for the private sector.\n\n20. **The proposed MPA establishes the blueprint for other financiers to collaborate on Somalia’s energy sector**\n**recovery** . Major development partners active in the energy sector include Africa Development Bank (AfDB), Department\nfor International Development (UK) (DFID), United States Agency for International Development (USAID), Swedish\nInternational Development Agency (SIDA), Kreditanstalt fur Wiederaufbau (KfW), Norway and United Nations\nDevelopment Program (UNDP).\n\n21. **Finally, the proposed MPA is a COVID 19 economic recovery response** . Over the past few months, the COVID-19\npandemic has caused an unprecedented global economic and social crisis, significantly affecting all aspects of life. The\nproposed project will also address the growing need to fight contagious diseases such as COVID by availing reliable\nelectricity supply to health institutions to reduce the cost of operations in addition to the specific targeting to water supply\nsystems. IFC implemented a rapid survey among electricity service providers (ESP) to better understand the impact that\nthe COVID 19 pandemic on Somali electricity operations. Investments to respond to post COVID 19 socio-economic\nrecovery will be identified and prioritized during project preparation.\n\n\nRelationship to CPF\n\n22. **The proposed MPA contributes to the World Bank Group (WBG) twin goals of eliminating extreme poverty and**\n**boosting shared prosperity** . The program is aligned with the Country Partnership Framework for the Federal Republic of\nSomalia for the Period FY19 – 22, which explicitly identifies energy access\n\nMention: \"rapid survey among electricity service providers\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"IFC provider survey used to understand pandemic impacts on Somali electricity operations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001140:8:1", "occurrence_id": "05ca4cdeda530593c9acfca4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  percent of rural\nschools rely on outdoor dry pit toilet facilities, most of those without handwashing basins, and 69 percent have\nno running water. A water quality audit by UNICEF in 2010 highlighted that one in four students are exposed to\nmajor risks and one in three to moderate risks due to non-compliance of water quality for nitrates,\nmicrobiological contamination, fluoride, and, to a lesser extent, boron <sup>33</sup> . A 2016 water quality survey in\nkindergartens showed similar pattern of non-compliance <sup>34</sup> . The Ministry of Education, Research and Culture\n(MERC), with support of Romanian Aid, has improved the sanitation situation in kindergartens with 96 percent\nnow reported to have functional indoor toilets, although water quality and presence of handwashing facilities is\nnot known. In primary and secondary schools, only 69 percent of all 1,136 schools reported to have functional\nindoor toilets <sup>35</sup> and 351 have outdoor pit latrines. The Government has set targets for WASH access in\neducational institutions under the WHO-led ‘Protocol on Water and Health’ and anticipates targets for WASH in\nhealth care facilities in the plan for 2021 <sup>36</sup>, as the agenda has gained clear visibility due to the COVID-19\npandemic.\n\n**Institutional and Legislative Overview, Financing and Performance of WSS Services**\n\n**15. Institutional weaknesses underpin many of the infrastructure, service delivery and finance gaps in the WSS**\n**sector.** Several reforms and legislative documents have been enacted in recent years, focused on harmonization\n\n\n29 Including in Chisinau the capital, as well as in other towns mostly with support of EU/EBRD/EIB and KfW.\n30 WHO intends to support the MHLSP with a national assessment on water supply, sanitation, hygiene, waste\n\nMention: \"water quality audit by UNICEF\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2010 audit showing one in four students exposed to major water-quality risks from nitrates and contamination.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001140:8:1", "occurrence_id": "0ed9a189733ab48a289a9f9b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  percent of rural\nschools rely on outdoor dry pit toilet facilities, most of those without handwashing basins, and 69 percent have\nno running water. A water quality audit by UNICEF in 2010 highlighted that one in four students are exposed to\nmajor risks and one in three to moderate risks due to non-compliance of water quality for nitrates,\nmicrobiological contamination, fluoride, and, to a lesser extent, boron <sup>33</sup> . A 2016 water quality survey in\nkindergartens showed similar pattern of non-compliance <sup>34</sup> . The Ministry of Education, Research and Culture\n(MERC), with support of Romanian Aid, has improved the sanitation situation in kindergartens with 96 percent\nnow reported to have functional indoor toilets, although water quality and presence of handwashing facilities is\nnot known. In primary and secondary schools, only 69 percent of all 1,136 schools reported to have functional\nindoor toilets <sup>35</sup> and 351 have outdoor pit latrines. The Government has set targets for WASH access in\neducational institutions under the WHO-led ‘Protocol on Water and Health’ and anticipates targets for WASH in\nhealth care facilities in the plan for 2021 <sup>36</sup>, as the agenda has gained clear visibility due to the COVID-19\npandemic.\n\n**Institutional and Legislative Overview, Financing and Performance of WSS Services**\n\n**15. Institutional weaknesses underpin many of the infrastructure, service delivery and finance gaps in the WSS**\n**sector.** Several reforms and legislative documents have been enacted in recent years, focused on harmonization\n\n\n29 Including in Chisinau the capital, as well as in other towns mostly with support of EU/EBRD/EIB and KfW.\n30 WHO intends to support the MHLSP with a national assessment on water supply, sanitation, hygiene, waste\n\nMention: \"2016 water quality survey in\nkindergartens\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Kindergarten water-quality survey showing the same non-compliance pattern as the school audit.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001140:6:0", "occurrence_id": "58a332328b12f3f86de7214f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMoldova Water Security and Sanitation Project (P173076)\n\n\nalternations of natural ecosystems threaten system resilience. Based on JMP-data <sup>21</sup> [^21: Joint Monitoring Program data is derived based on linear extrapolations using national survey data and JMP population estimates; discrepancies\n[between nationally reported data are due to differences in methods and definitions. See also: https://washdata.org/data](https://washdata.org/data)], gains were made in rural\nwater supply access from piped networks from 33 percent in 2000 to 40 percent in 2017, while urban access to\npiped services remained stable at 85 percent. However, compared to other countries in the Danube region, the\nshare of population with access to basic water and sanitation services in Moldova is low, and the gap between\nurban and rural remains one of the largest in Europe and is one of the key water security issues the country is\nfacing (see figure 1).\n\n\n_Figure 1. Access to piped water supply in the home and flush toilets for Moldova and regional comparators (HBS 2015)_\n\n\n**11. Household Budget**\n**Survey** **(HBS)** **(2018)**\n**data** <sup>**22**</sup> [^22: Household Budget Survey Data from 2019 have not been shared with the World Bank as of yet.] **provides** **the**\n**most recent picture on**\n**national access to a**\n**_public_** **piped** **water**\n**supply being 70 percent,**\n**with urban access at**\n**92.4 percent and rural**\n**access at 52.2 percent** (table 2). However, the water quality of rural piped system is often below quality standard\ndue to-called\n\nMention: \"JMP-data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Joint Monitoring Programme estimates underpinning the reported gains in rural piped-water access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001140:6:0", "occurrence_id": "7d39b2ea590cad453443357a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMoldova Water Security and Sanitation Project (P173076)\n\n\nalternations of natural ecosystems threaten system resilience. Based on JMP-data <sup>21</sup> [^21: Joint Monitoring Program data is derived based on linear extrapolations using national survey data and JMP population estimates; discrepancies\n[between nationally reported data are due to differences in methods and definitions. See also: https://washdata.org/data](https://washdata.org/data)], gains were made in rural\nwater supply access from piped networks from 33 percent in 2000 to 40 percent in 2017, while urban access to\npiped services remained stable at 85 percent. However, compared to other countries in the Danube region, the\nshare of population with access to basic water and sanitation services in Moldova is low, and the gap between\nurban and rural remains one of the largest in Europe and is one of the key water security issues the country is\nfacing (see figure 1).\n\n\n_Figure 1. Access to piped water supply in the home and flush toilets for Moldova and regional comparators (HBS 2015)_\n\n\n**11. Household Budget**\n**Survey** **(HBS)** **(2018)**\n**data** <sup>**22**</sup> [^22: Household Budget Survey Data from 2019 have not been shared with the World Bank as of yet.] **provides** **the**\n**most recent picture on**\n**national access to a**\n**_public_** **piped** **water**\n**supply being 70 percent,**\n**with urban access at**\n**92.4 percent and rural**\n**access at 52.2 percent** (table 2). However, the water quality of rural piped system is often below quality standard\ndue to-called\n\nMention: \"national survey data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National survey inputs the JMP extrapolation uses, and the stated reason its figures differ from national reporting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001140:6:0", "occurrence_id": "2408d5db1e6375f20d212d1e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMoldova Water Security and Sanitation Project (P173076)\n\n\nalternations of natural ecosystems threaten system resilience. Based on JMP-data <sup>21</sup> [^21: Joint Monitoring Program data is derived based on linear extrapolations using national survey data and JMP population estimates; discrepancies\n[between nationally reported data are due to differences in methods and definitions. See also: https://washdata.org/data](https://washdata.org/data)], gains were made in rural\nwater supply access from piped networks from 33 percent in 2000 to 40 percent in 2017, while urban access to\npiped services remained stable at 85 percent. However, compared to other countries in the Danube region, the\nshare of population with access to basic water and sanitation services in Moldova is low, and the gap between\nurban and rural remains one of the largest in Europe and is one of the key water security issues the country is\nfacing (see figure 1).\n\n\n_Figure 1. Access to piped water supply in the home and flush toilets for Moldova and regional comparators (HBS 2015)_\n\n\n**11. Household Budget**\n**Survey** **(HBS)** **(2018)**\n**data** <sup>**22**</sup> [^22: Household Budget Survey Data from 2019 have not been shared with the World Bank as of yet.] **provides** **the**\n**most recent picture on**\n**national access to a**\n**_public_** **piped** **water**\n**supply being 70 percent,**\n**with urban access at**\n**92.4 percent and rural**\n**access at 52.2 percent** (table 2). However, the water quality of rural piped system is often below quality standard\ndue to-called\n\nMention: \"JMP population estimates\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Population denominators the JMP combines with survey data to derive its access estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001167:9:0", "occurrence_id": "b1011361be8d29d7a22a817e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRegional Sahel Pastoralism Support Project II (P173197)\n\n\n26. Considering the necessity to further secure mobility and access to natural resources, the second phase of PRAPS\nwill build on and consolidate mechanisms (e.g. cross-border dialogue platforms led by communities) established under\nPRAPS-1 to ensure that existing agreements are adequately implemented or revised, and will address mobility constraints\nin additional priority areas to both reduce existing conflicts and prevent future ones. The Project will also support: (i) the\nformulation of national strategies on pastoral water and land use; to this end, PRAPS-2 will build on existing public policies\nand strategies related to pastoral development that proved to be effective such as the Niger Land Tenure Policy, and the\nChad Strategy for Securing Pastoral Land; (ii) the strategic establishment of pastoral water points in rangelands with no or\nlimited access to water, to ensure project's beneficiaries sustainable access to new grazing areas ; (iii) negotiations between\nland users on access to resources during early transhumances -occurring more frequently due to climate change; and (iv)\nland-tenure and governance frameworks at local and cross-border levels (using for example FAO’s Technical Guide on\n“Improving Governance of Pastoral Lands”).\n\n\n27. Securing mobility will also include mechanisms to protect livestock against theft, a growing concern in some areas,\nwith the piloting of new approaches based on the use of digitals technologies. In this context, the Project will further exploit\nsatellite imagery data and other digital monitoring tools, as well as applications to inform pastoralists on the state of natural\nresources and infrastructure (such as the GARBAL <sup>15</sup> satellite information service for pastoralists in Mali), that will\ncontribute to provide pastoral indicators informing the national Early Warning Systems. The Project will work with\nproducers and their organizations as well as with the private sector to establish where possible private\n\nMention: \"satellite imagery data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Imagery the project will further exploit, with digital tools, to monitor pastoral mobility and natural resources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001167:2:0", "occurrence_id": "c5eab3de03fed5664f076507", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRegional Sahel Pastoralism Support Project II (P173197)\n\n\n\n\n\n\n|World Bank Group Financing|Col2|\n|---|---|\n|International Development Association (IDA)|335.00|\n|IDA Credit|210.00|\n|IDA Grant|125.00|\n\n\n\n\n\n**A. Introduction and Context**\n\nCountry/Regional Context\n\n1. **GDP growth rate in the sub-region** <sup>**1**</sup> [^1: Defined here by the countries participating in PRAPS I (Chad, Burkina Faso, Mali, Mauritania, Niger and Senegal)] **has been on an upward trend over the past years, significant in absolute**\n**terms (4-5%) but modest in per capita terms (1 to 2%).** Both Mauritania and Senegal recently joined the ranks of lower‐\nmiddle‐ income countries while the 4 other countries are still considered Least Developed countries. Main sources and\ncomponents of growth have seen increased public spending and private investment, improved private consumption and\ngrowth in the primary sector, notably agriculture and livestock. Inter-annual GDP growth variations (min 1.4% in Mauritania\nfor 2015, max 7.2 % in Mali for 2014) have essentially been linked to variations in: (i) agriculture production (linked to\nclimate variability), (ii) investments and aid flows (correlated to security and political stability) and (iii) wealth extracted\nfrom natural resources (mining and oil/gas essentially) <sup>2</sup> [^2: Extractive industries are expected to continue to play a key role in the economy for the coming years.] . Prospects for the coming three years are generally good, though\nnot without downside risks due mainly to increasing insecurity in the region.\n\n\n2. **Poverty incidence is decreasing but remains high and the significantly upward demographic trend is driving**\n**the absolute number of\n\nMention: \"GDP growth rate\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Sub-regional GDP growth series cited as trending upward, framing the economic context for pastoralism support.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001167:3:0", "occurrence_id": "286a788f6b4633502f36b849", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRegional Sahel Pastoralism Support Project II (P173197)\n\n\nsub-region and employs most of the workforce. Accelerating the adoption of climate resilient practices will require bold\ninvestments and put additional pressure on already limited fiscal resources.\n\n\n4. **Conflicts are on the rise, affect the economy both at regional, national and local level and disrupt food**\n**production and livelihoods in lasting ways** . **Niger, Mali, Burkina Faso and Chad are currently facing a serious**\n**security and humanitarian crisis** <sup>**4**</sup> [^4: The recently adopted FCV strategy (February 25, 2020) includes these four countries in the list of Fragile and Conflict States: Burkina Faso, Mali\nand Niger as “countries in medium-intensity conflict”, and Chad as “country with institutional and social fragility”.] **,** which thrives on and reinforces pre-existing institutional vulnerabilities and intercommunal tensions **.** What drives conflict in the sub-region today can be traced to social and political unrest, a breakdown\nin the social contract, growing competition over resources, discontent over inclusiveness and quality of public service\ndelivery, weak institutions, inequality and underlying social tensions. Decentralization policies have inherently re-enforced\nthe social and political marginalization of pastoralists, a sub-set of the population having already a lesser access to basic\nservices (education, health). In the Sahel, the number of conflicts opposing communities on access to natural resources has\nbeen steadily increasing along transhumance routes. Easily exploited, these local conflicts are feeding into larger intercommunity conflicts. According to the 2018 Economic Value of Peace <sup>5</sup> [^5: <u>[http://economicsandpeace.org/wp-content/uploads/2018/11/Economic-Value-of-Peace-2018.pdf](http://economicsandpeace.org/wp-content/uploads/2018/11/Economic-Value-of-Peace-2018.pdf)</u>] report, the economic\n\nMention: \"2018 Economic Value of Peace\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Report cited for the economic costs of conflict behind the rise in intercommunity violence along transhumance routes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001169:14:2", "occurrence_id": "9efb68b361a1623ec77dd570", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\n2 International Monetary Fund (2021) “Central African Economic and Monetary Community (CEMAC): Staff Report on the\nCommon Policies of Member Countries, and Common Policies in Support of Member Countries Reform Programs-Press Release;\nStaff Report; and Statement by the Executive Director for the Central African Economic and Monetary Community”,\nInternational Monetary Fund. African Dept., January 22, 2021.\n3 World Bank Macro-Fiscal Model (MFMOD) data.\n4 Staff calculations based on World Bank MFMOD data.\n5 The World Bank, World Development Indicators (WDI), 2019, GDP (current US$) - Cameroon.\n[https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=CM](https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=CM) _._\n6 World Bank staff calculations based on MFMOD.\n7 Staff calculations based on World Bank MFMOD data.\n8 World Bank (2021) “Cameroon Macro Poverty Outlook”, Spring Meetings edition, March 2021.\n9 World Health Organization, https://covid19.who.int/region/afro/country/cm.\n10 World Bank (2021) ���Cameroon Macro Poverty Outlook”, Spring Meetings edition, March 2021.\n11 World Bank Country Economic Monitoring 2.0 tool (2021).\n12 World Bank MFMOD data.\n\n\nPage 9 of 92\n\nMention: \"World Bank Macro-Fiscal Model\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Macro-fiscal model outputs footnoted as the basis for the fiscal and macro figures used in the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001169:14:2", "occurrence_id": "eb325e51cc438e3555c3a7ec", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\n2 International Monetary Fund (2021) “Central African Economic and Monetary Community (CEMAC): Staff Report on the\nCommon Policies of Member Countries, and Common Policies in Support of Member Countries Reform Programs-Press Release;\nStaff Report; and Statement by the Executive Director for the Central African Economic and Monetary Community”,\nInternational Monetary Fund. African Dept., January 22, 2021.\n3 World Bank Macro-Fiscal Model (MFMOD) data.\n4 Staff calculations based on World Bank MFMOD data.\n5 The World Bank, World Development Indicators (WDI), 2019, GDP (current US$) - Cameroon.\n[https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=CM](https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=CM) _._\n6 World Bank staff calculations based on MFMOD.\n7 Staff calculations based on World Bank MFMOD data.\n8 World Bank (2021) “Cameroon Macro Poverty Outlook”, Spring Meetings edition, March 2021.\n9 World Health Organization, https://covid19.who.int/region/afro/country/cm.\n10 World Bank (2021) “Cameroon Macro Poverty Outlook”, Spring Meetings edition, March 2021.\n11 World Bank Country Economic Monitoring 2.0 tool (2021).\n12 World Bank MFMOD data.\n\n\nPage 9 of 92\n\nMention: \"World Bank MFMOD data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Staff calculations in the footnote are built directly on this model's outputs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001169:14:2", "occurrence_id": "5e16514d544e87110a9d42be", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\n2 International Monetary Fund (2021) “Central African Economic and Monetary Community (CEMAC): Staff Report on the\nCommon Policies of Member Countries, and Common Policies in Support of Member Countries Reform Programs-Press Release;\nStaff Report; and Statement by the Executive Director for the Central African Economic and Monetary Community”,\nInternational Monetary Fund. African Dept., January 22, 2021.\n3 World Bank Macro-Fiscal Model (MFMOD) data.\n4 Staff calculations based on World Bank MFMOD data.\n5 The World Bank, World Development Indicators (WDI), 2019, GDP (current US$) - Cameroon.\n[https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=CM](https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=CM) _._\n6 World Bank staff calculations based on MFMOD.\n7 Staff calculations based on World Bank MFMOD data.\n8 World Bank (2021) “Cameroon Macro Poverty Outlook”, Spring Meetings edition, March 2021.\n9 World Health Organization, https://covid19.who.int/region/afro/country/cm.\n10 World Bank (2021) “Cameroon Macro Poverty Outlook”, Spring Meetings edition, March 2021.\n11 World Bank Country Economic Monitoring 2.0 tool (2021).\n12 World Bank MFMOD data.\n\n\nPage 9 of 92\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 2019 current-US dollar GDP figure for Cameroon cited in the footnote.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001181:6:0", "occurrence_id": "8d06d8ad69ef61264860d84c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAdditional Financing to the Ghana Accountability for Learning Outcomes Project (P173282)\n\n\nto be exacerbated given the risk of learning discontinuity associated with the pandemic.\n**C. Proposed Development Objective(s)**\n\nDevelopment Objective(s)\n\n\n12. The Development Objective of the proposed AF is the same as that of the parent project – to improve the\nquality of education in low performing basic education schools and strengthen education sector equity and\naccountability in Ghana. There are no changes to the PDO-level indicators.\n\n\nKey Results\n\n\n13. Progress toward meeting the PDO would be measured through the following key outcome indicators:\n\ni. Increased percentage of targeted schools with teaching practices meeting inspection standards;\nii. Students benefitting from direct interventions to enhance learning (of which female);\niii. Increased percentage of targeted KG and primary schools with pupil trained teacher ratio below 50:1;\n\nand\niv. Increased number of schools using accountability dashboard data during cluster level meetings.\n\n**D. Project Description**\n\n\n14. **Proposed total project costs and financing.** The GALOP will be implemented over a five-year period (20202024) with financing from an International Development Assistance (IDA) credit of US$150 million and a Global\nPartnerships for Education (GPE) grant of US$24.4 million. The proposed AF would be supported by a US$15.0\nmillion grant from the GPE emergency COVID-19 Accelerated Funding Window, US$25.5 million grant from a\nGlobal Partnership for Results-Based Approaches (GPRBA) financed by DFID and US$4.5 million financed by the\nGoG. An additional US$500,000 from the GPE ESPIG and US$200,00 from the GPE emergency COVID-19\nAccelerated Funding Window will be allocated as the supervision fee. This would bring the total project financing\nto US$218.7 million.\n\n\n15. The\n\nMention: \"accountability dashboard data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"School performance dashboard whose use in cluster meetings is itself a project result indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001169:17:0", "occurrence_id": "46aa5efb3465f05c61b221bc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAcceleration of the Digital Transformation of Cameroon Project (P173240)\n\n\n4G) coverage. The 3G and 3.5G networks of Mobile Telephone Network (MTN), Orange, and Viettel\nreached 85 percent, 79 percent, and 89 percent of the population, respectively, as of October 2020; MTN’s\n4G network covered 60 cities and towns, while Orange’s 4G network covered 60 percent of the\npopulation. <sup>28</sup> However only 23 percent of households nationwide had an internet subscription—mobile\nor fixed—in 2019, and this percentage is much lower in rural areas, especially in the Center, Northwest,\nand Adamawa regions. <sup>29</sup> According to January 2021 data, <sup>30</sup> the price of 5 GB of fixed broadband internet\nwas 20.8 percent of gross national income (GNI) per capita in Cameroon (global rank: 159 out of 179\ncountries), while the price of 1.5 GB of mobile broadband internet was 3.9 percent of GNI per capita\n(global rank: 142 out of 188 countries).\n\n\n\n**Figure 1. Growth of Mobile Telephony Subscriptions**\n\n**and Penetration Rates in Cameroon**\n\n\n\n**Figure 2. Growth of (Fixed + Mobile) Broadband**\n\n**Internet Subscriptions and Penetration Rates in**\n\n**Cameroon**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n_Source:_ TeleGeography, International Telecommunication Union (ITU), Internet World Stats, Ministry of Posts and\nTelecommunications (MINPOSTEL), World Bank. <sup>31</sup>\n\n\n8. **Available data suggest the existence of a gender divide in the access to and use of digital**\n**services.** Gender-disaggregated data in this area are limited; nevertheless, available figures point to\n\nMention: \"January 2021 data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the broadband price as a share of GNI per capita and Cameroon's affordability rank.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001169:17:0", "occurrence_id": "283a779a3b07e5bea64c1ae2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAcceleration of the Digital Transformation of Cameroon Project (P173240)\n\n\n4G) coverage. The 3G and 3.5G networks of Mobile Telephone Network (MTN), Orange, and Viettel\nreached 85 percent, 79 percent, and 89 percent of the population, respectively, as of October 2020; MTN’s\n4G network covered 60 cities and towns, while Orange’s 4G network covered 60 percent of the\npopulation. <sup>28</sup> However only 23 percent of households nationwide had an internet subscription—mobile\nor fixed—in 2019, and this percentage is much lower in rural areas, especially in the Center, Northwest,\nand Adamawa regions. <sup>29</sup> According to January 2021 data, <sup>30</sup> the price of 5 GB of fixed broadband internet\nwas 20.8 percent of gross national income (GNI) per capita in Cameroon (global rank: 159 out of 179\ncountries), while the price of 1.5 GB of mobile broadband internet was 3.9 percent of GNI per capita\n(global rank: 142 out of 188 countries).\n\n\n\n**Figure 1. Growth of Mobile Telephony Subscriptions**\n\n**and Penetration Rates in Cameroon**\n\n\n\n**Figure 2. Growth of (Fixed + Mobile) Broadband**\n\n**Internet Subscriptions and Penetration Rates in**\n\n**Cameroon**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n_Source:_ TeleGeography, International Telecommunication Union (ITU), Internet World Stats, Ministry of Posts and\nTelecommunications (MINPOSTEL), World Bank. <sup>31</sup>\n\n\n8. **Available data suggest the existence of a gender divide in the access to and use of digital**\n**services.** Gender-disaggregated data in this area are limited; nevertheless, available figures point to\n\nMention: \"Internet World Stats\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"source\", \"summary\": \"One of the named sources behind the broadband subscription and penetration rates plotted for Cameroon.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001183:5:2", "occurrence_id": "8e018e9657accc69fd14e44b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  interventions with Ecuador’s IPAMs continue to rely on exogenous intervention models that\nfail to define the design of the investment and its delivery in a way that adequately reflects the specific cultural\nidentities <sup>22</sup> and development priorities of IPAMs. In this vein, the PRODEPINE model <sup>23</sup> in which the IPAMs serve\n\n\n20 ENEMDU, 2019.\n21 The December 2011 Employment Survey.\n22These include the unique ways of living, self-governing, attachment to land and natural resources, traditional knowledge and specific IPAM rights\nthat are protected by various laws and policies (i.e. the country’s constitution, ILO 169, UN Declaration for IP Rights, the International Convention\nto Eliminate All Forms of Racial Discrimination, and the Durban Action Plan).\n23 PRODEPINE, as it is commonly referred to, is the World Bank-financed Indigenous and Afro-Ecuadorian Development Project (P040086) operation,\nthat was satisfactorily implemented between 1998 and 2003, and was structured in a way that allowed for local IPAM communities to plan and\nimplement investments and sub-projects aimed at improving their quality of life.\n\n\nFeb 19, 2020 Page 6 of 12\n\nMention: \"December 2011 Employment Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnoted employment survey behind an Indigenous-population labour figure cited in the discussion of IPAMs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001181:5:2", "occurrence_id": "e792dc884999565a7b86a962", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  expected increase in the number of OOSC due to the**\n**COVID-19 pandemic, there is also a high level of learning poverty observed in Ghana and it will also likely to**\n**increase as a result of COVID.** Results of the Early Grade Reading Assessment (EGRA) did not change between\n2013 and 2015 and indicated that only 2 percent of P2 pupils were able to read at an appropriate grade level\nwith 50 percent unable to recognize a single word. The 2015 Early Grade Mathematics Assessment (EGMA)\nfound that higher-order mathematical concepts were a challenge with 75 percent of P2 pupils unable to answer\na single conceptual knowledge subtask (i.e., word problem) correctly. The 2016 National Education Assessment\n(NEA) found that 30 percent and 50 percent of P4 pupils were below the minimum proficiency for English and\nMathematics, respectively; at the P6 level, these figures were approximately 30 percent for both subjects. There\nwere no significant improvements in the NEA results between 2016 and 2018. Poor learning outcomes are likely\n\n\n6 Sabates, Ricardo. October 5, 2018. _Moving Beyond Aid in Education: The Case of the Complementary Basic Education Programme in_\n_Ghana_ [, accessed at https://www.riseprogram.org/blog/beyond_aid accessed on April 25, 2019.](https://www.riseprogramme.org/blog/beyond_aid)\n7 Updated Analysis of Out of School Children in Ghana, Crown Agents and Management Unit, 2016\n\n\nMar 23, 2020 Page 6 of 15\n\nMention: \"Early Grade Reading Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Reading assessment showing unchanged 2013–2015 results, with only 2 percent of P2 pupils reading at grade level.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001181:5:2", "occurrence_id": "ad73829a687009e2d04a3b8b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  expected increase in the number of OOSC due to the**\n**COVID-19 pandemic, there is also a high level of learning poverty observed in Ghana and it will also likely to**\n**increase as a result of COVID.** Results of the Early Grade Reading Assessment (EGRA) did not change between\n2013 and 2015 and indicated that only 2 percent of P2 pupils were able to read at an appropriate grade level\nwith 50 percent unable to recognize a single word. The 2015 Early Grade Mathematics Assessment (EGMA)\nfound that higher-order mathematical concepts were a challenge with 75 percent of P2 pupils unable to answer\na single conceptual knowledge subtask (i.e., word problem) correctly. The 2016 National Education Assessment\n(NEA) found that 30 percent and 50 percent of P4 pupils were below the minimum proficiency for English and\nMathematics, respectively; at the P6 level, these figures were approximately 30 percent for both subjects. There\nwere no significant improvements in the NEA results between 2016 and 2018. Poor learning outcomes are likely\n\n\n6 Sabates, Ricardo. October 5, 2018. _Moving Beyond Aid in Education: The Case of the Complementary Basic Education Programme in_\n_Ghana_ [, accessed at https://www.riseprogram.org/blog/beyond_aid accessed on April 25, 2019.](https://www.riseprogramme.org/blog/beyond_aid)\n7 Updated Analysis of Out of School Children in Ghana, Crown Agents and Management Unit, 2016\n\n\nMar 23, 2020 Page 6 of 15\n\nMention: \"2015 Early Grade Mathematics Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Mathematics assessment finding 75 percent of P2 pupils unable to answer a single conceptual subtask.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001181:5:2", "occurrence_id": "80478f672cb6ea36e43d1f44", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  expected increase in the number of OOSC due to the**\n**COVID-19 pandemic, there is also a high level of learning poverty observed in Ghana and it will also likely to**\n**increase as a result of COVID.** Results of the Early Grade Reading Assessment (EGRA) did not change between\n2013 and 2015 and indicated that only 2 percent of P2 pupils were able to read at an appropriate grade level\nwith 50 percent unable to recognize a single word. The 2015 Early Grade Mathematics Assessment (EGMA)\nfound that higher-order mathematical concepts were a challenge with 75 percent of P2 pupils unable to answer\na single conceptual knowledge subtask (i.e., word problem) correctly. The 2016 National Education Assessment\n(NEA) found that 30 percent and 50 percent of P4 pupils were below the minimum proficiency for English and\nMathematics, respectively; at the P6 level, these figures were approximately 30 percent for both subjects. There\nwere no significant improvements in the NEA results between 2016 and 2018. Poor learning outcomes are likely\n\n\n6 Sabates, Ricardo. October 5, 2018. _Moving Beyond Aid in Education: The Case of the Complementary Basic Education Programme in_\n_Ghana_ [, accessed at https://www.riseprogram.org/blog/beyond_aid accessed on April 25, 2019.](https://www.riseprogramme.org/blog/beyond_aid)\n7 Updated Analysis of Out of School Children in Ghana, Crown Agents and Management Unit, 2016\n\n\nMar 23, 2020 Page 6 of 15\n\nMention: \"2016 National Education Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"National assessment reporting 30 and 50 percent of P4 pupils below minimum proficiency in English and Mathematics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001181:3:1", "occurrence_id": "31f365a59eddf7993cb35db3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in Upper West. Since 2012 poverty\nrates increased in Upper East, Northern and Volta regions and Gini coefficients increased in Northern, Upper\nEast and Brong Ahafo regions. In addition, 26 percent of the country’s poor live in the Northern region.\n\n4. **There are regional disparities in economic and social development, including access to education.** While\nsouthern regions tend to be more developed and urban, with higher levels of internet connectivity, Northern\nGhana, consisting of the Northern, Upper East, Upper West regions and parts of Brong Ahafo Region (now Brong\nAhafo, Bono East, and Ahafo regions), have some of the poorest and most deprived communities in the country.\nThe 2014 Ghana Demographic and Housing Survey showed that the number of out of school children (OOSC) is\nalso highly concentrated in the Northern (now Northern, Savannah, and North East regions) and Upper West\nregions of Ghana. <sup>3</sup> Regional disparities are a result of variations in rural and urban development; economic\nmigration; long distances to schools; lack of formal schools in some areas; limited adaptation to gender and\ndisability needs; poverty; socio-cultural factors such as early marriage; GBV; barriers to pregnant and parenting\nstudents continuing education; child work; limited access to media and technology; and the opportunity cost of\nenrolling children in school. These gaps are likely to be exacerbated as a result of COVID 19-mandated school\nclosures, since the northern parts of Ghana remain underprivileged in terms of economic and social\ndevelopment.\n\n5. **According to the Human Capital Index** <sup>**4**</sup> **(HCI) which measures the amount of human capital that a child**\n**born today can expect to attain by age 18, Ghana’s productivity for the next generation of workers is**\n**suboptimal.*\n\nMention: \"2014 Ghana Demographic and Housing Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey showing out-of-school children highly concentrated in the Northern and Upper West regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001176:6:1", "occurrence_id": "4a23d01ce8ae2e26e4704c87", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  from GoG. One of the primary initiatives of the ESRP is that sector arrears are to be netted out\nand a funding plan be adopted to clear the remaining balance. An audit of the sector has to be updated annually, and\nonce completed, GoG will implement a process to net out the cross arrears. It will also consider what refinancing options\nare available for public sector SOEs to clear their remaining arrears and curtail further accumulation of these shortfalls.\nMeasures to implement a financing plan to help redress the sector will play a key role in the Program.\n\nESRP measures to improve performance and financial viability of the distribution utilities will be supported by the\nProgram. This will include supporting the PURC to establish a new tariff methodology in order to project a tariff\ntrajectory, implement a new tariff for street lighting and install prepaid meters for MDAs to ensure that utilities are\npaying their dues. The Program will also support the establishment and enforcement of performance improvement plans\nby ECG and NEDCo that will help improve both technical and commercial performance. Finally, the Program will support\nkey activities to improve corporate governance at ECG to improve transparence and accountability.\n\nThe Program will include the results of ESRP actions related to generation cost reduction and increase revenues of the\ndistribution companies. The Program will also support ESRP activities aimed to reduce current generation costs (ensuring\ntransparent implementation of the merit order dispatch and optimization of hydropower generation for the regulated\nmarket) as well as ensure that new power plants will be procured competitively and are consistent with the least-cost\npower expansion plan. On the revenue side, the Program will support activities of the ESRP that are expected to reduce\nelectricity losses and increase collection rates of the distribution utilities.\n\nThe clean cooking component of the program will support GoG’s commitment to LPG becoming the primary cooking fuel\nfor 50 percent of households. GoG intends to utilize market-based approaches in the delivery of cooking solutions by\nproviding the necessary conditions for sustainable innovation\n\nMention: \"audit of the sector\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Annually updated sector arrears audit whose completion gates the netting-out and refinancing process.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001192:2:0", "occurrence_id": "202f77720633bd817f3b9b91", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nResilient Infrastructure Building Project (P173312)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Bangladesh has made rapid social and economic progress in recent decades, reaching lower-middle income**\n**status by 2015.** Gross domestic product (GDP) growth averaged close to 6 percent annually since 2000 and,\naccording to official estimates, accelerated to over 8 percent in FY19. Strong labor market gains contributed to a\nsharp decline in poverty, with the national poverty rate falling from 48.9 to 24.3 percent between 2000 and 2016,\nwhile extreme poverty declined from 34.3 to 12.9 percent <sup>1</sup> [^1: Household Income and Expenditure Survey, 2000/01 through 2016/17.] . However, the pace of poverty reduction has slowed\nin recent years even with accelerated growth. Similarly, the progress on shared prosperity slowed between 2010\nand 2016 after a decade of improvements, with annual consumption growth of the bottom 40 percent trailing\nthat of the overall population (1.2 versus 1.6 percent). Bangladesh entered the COVID-19 crisis with a relatively\nstrong macroeconomic position. Garment exports and remittances narrowed the external deficit in recent years\nand international reserves were adequate at the end of April 2020 at US$32.9 billion, equivalent to six months of\nimports. While tax collections are amongst the lowest in the world, under-execution of the budget has contained\nthe fiscal deficit, which has been below 5 percent of GDP since FY01. As a result, public debt is low and stood at\n33.7 percent of GDP at the end of FY19. A key economic vulnerability is in the banking sector where the nonperforming loan (NPL) ratio is high at 9.3 percent of outstanding loans in December 2019, and is underestimated\nconsidering significant under-provisioning, regulatory forbearance, and gaps in the legal framework.\n\n2. **Growth declined sharply as the COVID-19 pandemic\n\nMention: \"Household Income and Expenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey series 2000/01–2016/17 underpinning the national and extreme poverty declines cited.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001182:61:1", "occurrence_id": "73c138610a0947d96cbbda56", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Conference of Food Sovereignty ( _Conferencia Plurinacional de Soberanía Alimentaria_,\nCOPISA), Planifica Ecuador; National Institute of Statistics and Censuses (INEC); Consortium of Provincial\nAutonomous Governments of Ecuador ( _Consorcio de Gobiernos Provinciales Autónomos del Ecuador,_ CONGOPE);\nAssociation of Ecuadorian Municipalities (AME); National Council of Rural Parish Governments of Ecuador ( _Consejo_\n_Nacional de Gobiernos Parroquiales Rurales del Ecuador_, CONAGOPARE); and, other public and private\ninstitutions) when specific expertise is needed for the implementation of the Project. Where relevant, institutional\nand/or cooperation agreements with these entities will be established.\n\n\n**Financial Management**\n\n**16.** **The Financial Management (FM) team conducted a FM assessment to the Secretariat of Human Rights**\n**(SHR) in its capacity of proposed project implementing entity for the project.** The FMA was conducted following\nInvestment Project Financing (IPF) Policy and Financial Management Manual which requires the borrower\nmaintains FM arrangements that are acceptable to the Bank and that as part of the overall implementation\narrangements, the operation provides reasonable assurance that the proceeds of the loan are used for the\nintended purposes.\n\n**17.** **The FM residual risk for the Project is rated Substantial based on the following considerations:** (i) various\ndeficiencies identified during the 2019 PEFA <sup>72</sup> [^72: Public Expenditures and Financial Accountability.] report, including _inter alia_ weak transparency of public finances,\nthe budget management and control framework, and limited internal control and external oversight of the public\nsector. Such deficiencies may impact this project and may reflect in delays in getting the budget approved and the\nprocess of payments with an overall impact in project implementation; (ii) SHR has no previous experience\nimplementing WB-financed projects, which\n\nMention: \"2019 PEFA\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Assessment whose identified deficiencies support the substantial financial-management residual risk rating.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001192:4:3", "occurrence_id": "e8cd008a60067f98da3e0182", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: with%20over%206.3%20million%20affected.&text=82%2C025%20acres%20of%20agricultural%20land,and%2050%2C000%20homes%20completely%20damaged.)</u>\n13 Consolidated Damage and loss Assessment, Lessons Learnt from the Flood 2007 and Future Action Plan by MODMR (2007)\n[(https://modmr.portal.gov.bd/sites/default/files/files/modmr.portal.gov.bd/publications/8e731b3d_479f_4ea1_b1c3_f3af17d263b4/Executive%2](https://modmr.portal.gov.bd/sites/default/files/files/modmr.portal.gov.bd/publications/8e731b3d_479f_4ea1_b1c3_f3af17d263b4/Executive%20Summary-Flood%20Report.pdf)\n<u>[0Summary-Flood%20Report.pdf](https://modmr.portal.gov.bd/sites/default/files/files/modmr.portal.gov.bd/publications/8e731b3d_479f_4ea1_b1c3_f3af17d263b4/Executive%20Summary-Flood%20Report.pdf)</u>\n\n14 Annual Flood Report 2018, Flood Forecasting and Warning Centre (FFWC), Bangladesh Water Development Board (BWDB)\n\n\nJun 23, 2020 Page 5 of 12\n\nMention: \"Annual Flood Report 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official flood report footnoted as the source for affected-area and damage figures in the hazard history.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001197:2:0", "occurrence_id": "b2310deb5ab8e25a1eccc0d0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGEF China Sustainable Cities - Supporting Green and Low Carbon Urban Development (P173316)\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n1. **China’s successful transformation into the world’s second largest economy has come with high**\n**environmental costs.** Urbanization and infrastructure expansion amid rapid economic growth has led to a huge\nconsumption of natural resources, aggressive land conversion to urban and industrial uses and insufficient\nwaste management, among others. Heavy consequences including spikes in greenhouse gas (GHG) emissions <sup>1</sup>,\nbiodiversity loss <sup>2</sup> and environmental and land degradation have followed. As a result, Chinese cities where\nmost people and economic activities concentrate are becoming less livable and sustainable.\n\n\n2. **To address its environmental and ecological challenges, China has shifted focus from high**    - **rate GDP growth**\n**to high quality.** The Chinese leadership has explicitly emphasized preserving ecological resources as an\nessential part of the new modality of growth. <sup>3</sup> The government has made some efforts to actualize this\ndeclaration. In the case of urban development, China’s newly initiated territorial and spatial planning system <sup>4</sup>\noperationalizes ecological preservation and environmental protection by requiring all urban planning maps to\nclearly demarcate three areas: “red lines” are mandated to be drawn to show the boundaries of ecological\nprotection, farmland preservation and city expansion.\n\n\nSectoral and Institutional Context\n\n\n1 China is the largest emitter in the world with CO2 emissions at 7.5 metric tons per capita in 2014 (Euro Area: 6.5) and total\n[greenhouse gas emissions 12,454,711 kt of CO2 equivalent in 2012. Source: World Bank Data](https://\n\nMention: \"World Bank Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited source for China's 2014 per-capita CO2 and 2012 total greenhouse-gas emissions figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001192:4:1", "occurrence_id": "1f385c8614f1810ada4709fe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  2017 and 2019:** Between March and May 2017, flash floods occurred across 6\ndistricts in the northeastern ( _Haor_ ) areas, and in late June, a severe monsoon started that extended the floods to\n19 districts in the northwestern parts in August and September 2017. By October 2017, floods had killed 145\npeople, affected about 8 million people in 32 districts, with over 103,800 houses destroyed, 630,000 damaged,\nand 1.5 million people in need of immediate food assistance. Over 650,000 hectares of standing crops across 32\n\n\n10 Source: Management Approach to Disaster Scenario in Bangladesh: An Overview\n\n\n11 [After the flood: Official Damage Statistics of Bangladesh Flood 1998, https://reliefweb.int/report/bangladesh/after-flood-official-damage-](https://reliefweb.int/report/bangladesh/after-flood-official-damage-statistics-bangladesh-flood-1998)\n<u>[statistics-bangladesh-flood-1998](https://reliefweb.int/report/bangladesh/after-flood-official-damage-statistics-bangladesh-flood-1998)</u>\n12 [Bangladesh: Floods Situation Report - 19 Jul 2004, https://reliefweb.int/report/bangladesh/bangladesh-floods-situation-report-19-jul-](https://reliefweb.int/report/bangladesh/bangladesh-floods-situation-report-19-jul-2004#:~:text=As%20such%2C%20government%20estimates%20on,with%20over%206.3%20million%20affected.&text=82%2C025%20acres%20of%20agricultural%20land,\n\nMention: \"Official Damage Statistics of Bangladesh Flood 1998\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnoted damage statistics behind the 1998 flood's crop-loss and food-assistance figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001183:8:1", "occurrence_id": "4dfbed8741c7a39e95e34aaf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sup> (GBV), with IPs, AEs and Montubians citing higher incidence levels (67.8\npercent, 66.7 percent and 62.9 percent respectively) <sup>29</sup> [^29: IBID.], aggravated by discrimination based on ethnic, cultural,\neconomic, social or age status. Persistent and traditional social norms can often fuel and/or mask this pervasive\nviolence: indeed, a quarter of all women surveyed justified domestic violence. <sup>30</sup> [^30: OECD (2019), Gender, Institutions and Development Database, https://oe.cd/ds/GIDDB2019.] The proposed Project presents an\nopportunity to not only increase the skills and agency of women through capacity building, education initiatives\nand financial support, but also to address and shape community attitudes towards GBV by utilizing the community\nspaces to host sensitization events and safe spaces for women.\n\n\n**21.** **Climate Change.** The Project would contribute to national climate change objectives by employing climate resilient\nand green building designs, standards, and construction techniques for infrastructure investments. It would also\nbe achieved through strengthening of territorial governance of relevant aspects of disaster risk management and\nclimate change mitigation and adaptation, to be integrated into the technical assistance and design of targeted\ntraining programs. Furthermore, the menu of investments and technical assistance will take into account ecofriendly approaches and will include eligibility criteria that is aligned with climate resilient activities.\n\n\n**<mark>22.</mark>** **<mark>Citizen Engagement.</mark>** <mark>The project will be designed in a fully participatory manner. The list of potential technical</mark>\n<mark>assistance and investment activities will be prepared in close consultation with representative IPAM organizations.</mark>\n<mark>Furthermore, the specific activities and investments to be carried out at the local level will be activated based on</\n\nMention: \"Gender, Institutions and Development Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"OECD database footnoted for the finding that a quarter of surveyed women justified domestic violence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001208:4:3", "occurrence_id": "b117ea724811ca0a881d409c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ) e-services.\n10 Rwanda ranks among Africa’s top 10 performers, and is outperformed only by small island states, such as Mauritius, Seychelles and Cabo Verde, as well as upper\nand lower middle-income countries such as South Africa, Tunisia, Ghana and Egypt in the United Nations’ Global Development Index (EDGI).\n11 Thanks to favorable government policies and a stable political environment etc.\n\n\nMar 30, 2020 Page 5 of 10\n\nMention: \"Global Development Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UN index placing Rwanda among Africa's top ten performers against regional comparators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001243:12:0", "occurrence_id": "abcce3c1aa7fa57fc7c1d8d6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nResponding to COVID-19: Modern and Resilient Agri-food Value Chains (P173480)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**Country Context**\n\n1. **Despite a stable macroeconomic framework, Guatemala struggles with lower rates of economic growth and**\n**higher poverty than its neighboring countries.** Measured by per capita Gross Domestic Product (GDP), Guatemala is the\nfifth poorest economy of Latin America and the Caribbean (LAC) and has among the highest rates of social and economic\nexclusion in the region. GDP growth averaged 3.3 percent from 2015 to 2018, with real GDP per capita growth stagnating\nand falling slightly behind the average for Central America over the same period (3.48 percent). Low collection of taxes\nby the central government (tax revenues are close to 10 percent of GDP) and highly rigid budgetary expenditures, as well\nas significantly lower levels of labor productivity (mainly explained by gaps in knowledge and job skills), hamper\nGuatemala’s ability to provide basic public services and respond to changing conditions and demands.\n\n2. **Poverty, inequality, and rurality are high and persistent.** In 2019, it was estimated that 49.3 percent of the total\npopulation of 17 million lived under the US$5.5 PPP poverty line, up from 45 percent in 2000. <sup>1</sup> [^1: Poverty estimates use the upper-middle income international poverty line (US$5.50-a-day in 2011 PPP) and, unlike the World Bank Macro-Poverty\nOutlook, are based on microsimulations using the harmonized Socio-Economic Database for Latin America and the Caribbean (SEDLAC). Baseline\ndata for all projections is from 2014. Assessing more recent changes in poverty and inequality is difficult, due to the scarce availability of socioeconomic data (since 2000, Guatemala has had the second-lowest number of household surveys available in the region, only after Haiti).] One-fifth of the population\nlives\n\nMention: \"harmonized Socio-Economic Database for Latin America and the Caribbean\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Household microdata used for the microsimulation poverty estimates instead of the Macro-Poverty Outlook.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001250:2:0", "occurrence_id": "e1903908cea79a0c168d18c0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAgriculture Value Chain Development Project (PASAR-M) (P173487)\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Indonesia continues to make progress in reducing poverty, although the pace of decline has been slowing down in**\n**recent years, and will be severely affected by the ongoing COVID-19 crisis.** Based on the internationally comparable\nbenchmark of USD1.9 a day (2011 PPP), Indonesia is among countries that have made the fastest gains in poverty\nreduction in the last two decades. Between 2000-2015, the USD1.9 poverty rate in Indonesia declined by 2.1 percentage\npoints a year. Based on the national poverty line, poverty has also continued to decline registering 9.4 percent in March\n2019. However, the pace of poverty reduction post-2010 was about half of what it used to be between 2003 and 2010\n(0.6 percentage points per year).\n\n\n2. **The COVID-19 epidemic is progressing fast with community transmission already appearing to be widespread.** The\nGovernment of Indonesia (GOI) announced its first positive COVID-19 case in early March – 8 weeks after the epidemic\nfirst became known. Indonesia reported its biggest daily jump in coronavirus infections at the end of April after\nidentifying 436 new cases, taking the total to 8,211; forty-two more people who had tested positive for the virus died,\ntaking the total number of deaths to 689 <sup>1</sup> [^1: Data updated till 27-April] . The consequences of the epidemic in Indonesia will be severe and are likely to\naffect rural communities, agriculture production and the food supply system. It is also expected that Indonesia’s poverty\nrate will increase further during and after the pandemic as millions of households are expected to fall back into poverty\ndue to the economic slowdown. Especially in this time of\n\nMention: \"Data updated till 27-April\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"source\", \"summary\": \"Footnote dating the COVID-19 case and death counts cited for Indonesia's epidemic trajectory.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001248:2:1", "occurrence_id": "9ac2ea4a033181288a70bff5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  areas (2.5\npercentage points). Indigenous people, women, and afrodescendants will be more affected since 70, 50, and\n56 percent of them work in sectors affected by the pandemic. The effects of the pandemic are magnified\nsince 45 percent of the non-agricultural workers are in the informal sector and thus do not benefit from\nsocial safety nets.\n\n\n**To reinvigorate growth and address these underlying inequities, Panama will need to focus on increasing**\n**productivity through human capital reforms and addressing obstacles in basic service delivery.** The Policy\nNotes, prepared in 2019, identify inter-related areas for addressing these challenges: strengthen governance\nand public sector performance; focus on human capital reforms; and alleviate sectoral bottlenecks in water,\nurban transport, agriculture and energy.\n\n\nSectoral and Institutional Context\n**Panama lags significantly on indicators of trust in government and the quality of its institutions.** Low levels\nof trust in government are seen across Latin America, but Panama ranks among the countries with the lowest\nlevels. According to the Latinobarometer (2018), only 16 percent of Panamanians have some trust in\nGovernment below the Latin America and Caribbean average of 22 percent and only just above El Salvador\nand Guatemala. This trust deficit stems, in part, from high levels of perceived corruption. Transparency\nInternational’s Corruption Perception Index shows that Panamanians perceive their government as more\ncorrupt in recent years than in earlier periods. The 2016 leak of information from the Panama-based\nMossack-Fonseca law firm regarding ownership interests in shell companies highlighted the need to tighten\nthe framework for international tax transparency. It also demonstrated the need to ensure the effective\nimplementation of recently adopted legal regimes concerning anti-money laundering and combating the\n\n\nApr 13, 2021 Page 3 of 10\n\nMention: \"Latinobarometer\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey reporting that only 16 percent of Panamanians trust government, below the LAC average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001264:3:1", "occurrence_id": "d9977f3816c3809364932d19", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (e.g. Mozambique). Further benefits of\nenhancing debt transparency may include the reduction of borrowing costs reducing the misuse of funds.\n\n\nWhile there have been improvements in debt reporting, important gaps remain. Based on recent Debt\nManagement Performance Assessments (DeMPAs) in 51 LIDCs, only around half of countries had adequate\nlegal frameworks. Only 30 percent of countries complied with the minimum requirements for debt reporting\nand evaluation, and only 20 percent with the ones for loan guarantees and on-lending.\n\n\nWhile debt trajectories are mainly determined by fiscal policy, debt management can play an important role\nin safeguarding debt sustainability. Debt management is responsible for meeting the government's financing\nneeds in a timely fashion, ensuring low debt servicing costs at an acceptable degree of risk, and supporting\nthe development of domestic securities markets. In addition, debt management can help to identify and\nmonitor fiscal risks from contingent liabilities, such as guarantees or on-lending to SOEs. Sound debt\nmanagement can improve the efficiency of public spending, support sustainable financial sector\ndevelopment and reduce economic volatility. Ineffective public debt management can generate significant\nfiscal costs, expose countries to changing market conditions, and propagate a crisis.\n\n\nJun 11, 2020 Page 4 of 9\n\nMention: \"Debt\nManagement Performance Assessments\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Assessments across 51 LIDCs supplying coverage rates for legal frameworks and debt-reporting compliance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001227:27:1", "occurrence_id": "e2a1148884337beb0178b596", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  pilots for a concessionary approach for stand-alone systems for households\nin remote and dispersed communities and for exploring the options for supporting single-community, smaller-sized mini\ngrids in the first phase for scaling up in the subsequent phases. This will ensure that the poorest and most vulnerable\ngroups such as women are not excluded from accessing affordable electricity on time. Despite higher average monthly\nearnings, women have lower labor force participation rates in Liberia (72.1 percent compared to 80.6 percent for males)\nand are exposed to worse labor conditions. Considering this, the design of the pilot would pay particular focus to closing\nexisting gender gaps through support for female-led businesses to promote uptake for productive uses of electricity. It\nwill support an analysis of productive uses of electricity especially in agricultural and food processing applications like\ngrinders and chillers for consideration in subsequent phases; d) electrification of priority health facilities and vaccine cold\nchain in the off-grid areas to build resilience to pandemics like COVID-19 in the first phase and will support the remaining\nhealth and institutional facilities in the subsequent phases following the implementation model for electrification of\nhealth facilities in the first phase; and e) finally, the proposed first phase will support the transition from the MSC to\nensure that LEC has a sustainable and effective management team capable of executing its mandate in line with best\npractices of corporate governance within the context of the country’s electricity sector policies and goals. The proposed\nprogram will help make LEC a financially sustainable off-taker able to pay for the electricity needed for the country\nsupplied through the cross-border CLSG interconnection as well as the private sector-led generation expansion projects\nas identified in the LCPDP (Optimization Study).\n\n\n39. **Each phase of the MPA will have its own Project Development Objective (PDO), which will help support and achieve**\n**the overall PrDO.** The PDO of the first phase will focus on improving\n\nMention: \"LCPDP (Optimization Study)\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Optimisation study identifying the private-led generation expansion the least-cost plan relies on.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001248:3:0", "occurrence_id": "0ca36c15a4095a4b5316503d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPanama Open Contracting and Public Infrastructure Transparency\n\n\nfinancing of terrorism. Slippages on various global corruption indices demonstrate the challenge facing\nPanama. In 2017. 38 percent of people paid a bribe in order to access basic services - the highest rate in\nCentral America and on par with Venezuela. Panama scores above LAC averages for indicators of irregular\npayments and bribes, and the diversion of public funds.\n\n\n**The Government lacks the ability to translate its strategic vision into a coherent public investment policy.**\nRegardless of multi-year sector strategy plans, the lack of linkages between the various plans (including at\nthe subnational level), reduces the Government’s ability to formulate an effective public investment plan.\nPanama scores below the regional average on the capacity for sectoral reform, long term sector strategies,\nthe quality of the public policy making process and the reliability of economic and financial statistics.\nUpstream challenges in planning contribute to problems in the selection and execution of public\ninvestments. The Ministry of Economy and Finance lacks guidelines and functions to ensure that capital\nprojects and the overall project portfolio, are affordable for users and the national budget over the life cycle\nof the asset. Fiscal risks are not clearly identified, priced and transparently disclosed and integrated into longterm debt sustainability analysis and the medium-term fiscal framework. The absence of a clear and\ntransparent process to appraise and prioritize projects and assess social and environmental impact, poses a\nchallenge in the context of an “oversupply” of investment projects where the government receives\nunsolicited infrastructure proposals.\n\n\n**Panama has made a concerted effort to improve its performance in terms of transparency and open**\n**government.** According to the 2020 World Justice Project Rule of Law Index, Panama scores 0.59 out of 1 on\nopen government, which measures the extent to which a government shares information, empowers people\nwith tools to hold the government accountable, and fosters citizen participation in public policy making. This\nis above global and regional\n\nMention: \"global corruption indices\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Indices evidencing slippages and the 38 percent bribe-payment rate for basic services.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001248:3:0", "occurrence_id": "54c8d5ad7bf1da686c689cb4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPanama Open Contracting and Public Infrastructure Transparency\n\n\nfinancing of terrorism. Slippages on various global corruption indices demonstrate the challenge facing\nPanama. In 2017. 38 percent of people paid a bribe in order to access basic services - the highest rate in\nCentral America and on par with Venezuela. Panama scores above LAC averages for indicators of irregular\npayments and bribes, and the diversion of public funds.\n\n\n**The Government lacks the ability to translate its strategic vision into a coherent public investment policy.**\nRegardless of multi-year sector strategy plans, the lack of linkages between the various plans (including at\nthe subnational level), reduces the Government’s ability to formulate an effective public investment plan.\nPanama scores below the regional average on the capacity for sectoral reform, long term sector strategies,\nthe quality of the public policy making process and the reliability of economic and financial statistics.\nUpstream challenges in planning contribute to problems in the selection and execution of public\ninvestments. The Ministry of Economy and Finance lacks guidelines and functions to ensure that capital\nprojects and the overall project portfolio, are affordable for users and the national budget over the life cycle\nof the asset. Fiscal risks are not clearly identified, priced and transparently disclosed and integrated into longterm debt sustainability analysis and the medium-term fiscal framework. The absence of a clear and\ntransparent process to appraise and prioritize projects and assess social and environmental impact, poses a\nchallenge in the context of an “oversupply” of investment projects where the government receives\nunsolicited infrastructure proposals.\n\n\n**Panama has made a concerted effort to improve its performance in terms of transparency and open**\n**government.** According to the 2020 World Justice Project Rule of Law Index, Panama scores 0.59 out of 1 on\nopen government, which measures the extent to which a government shares information, empowers people\nwith tools to hold the government accountable, and fosters citizen participation in public policy making. This\nis above global and regional\n\nMention: \"economic and financial statistics\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"validate\", \"summary\": \"Official statistics quality named as a weakness, scored below the regional average on reliability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001248:3:0", "occurrence_id": "78e4d807d29e69455b2ef35d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPanama Open Contracting and Public Infrastructure Transparency\n\n\nfinancing of terrorism. Slippages on various global corruption indices demonstrate the challenge facing\nPanama. In 2017. 38 percent of people paid a bribe in order to access basic services - the highest rate in\nCentral America and on par with Venezuela. Panama scores above LAC averages for indicators of irregular\npayments and bribes, and the diversion of public funds.\n\n\n**The Government lacks the ability to translate its strategic vision into a coherent public investment policy.**\nRegardless of multi-year sector strategy plans, the lack of linkages between the various plans (including at\nthe subnational level), reduces the Government’s ability to formulate an effective public investment plan.\nPanama scores below the regional average on the capacity for sectoral reform, long term sector strategies,\nthe quality of the public policy making process and the reliability of economic and financial statistics.\nUpstream challenges in planning contribute to problems in the selection and execution of public\ninvestments. The Ministry of Economy and Finance lacks guidelines and functions to ensure that capital\nprojects and the overall project portfolio, are affordable for users and the national budget over the life cycle\nof the asset. Fiscal risks are not clearly identified, priced and transparently disclosed and integrated into longterm debt sustainability analysis and the medium-term fiscal framework. The absence of a clear and\ntransparent process to appraise and prioritize projects and assess social and environmental impact, poses a\nchallenge in the context of an “oversupply” of investment projects where the government receives\nunsolicited infrastructure proposals.\n\n\n**Panama has made a concerted effort to improve its performance in terms of transparency and open**\n**government.** According to the 2020 World Justice Project Rule of Law Index, Panama scores 0.59 out of 1 on\nopen government, which measures the extent to which a government shares information, empowers people\nwith tools to hold the government accountable, and fosters citizen participation in public policy making. This\nis above global and regional\n\nMention: \"2020 World Justice Project Rule of Law Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 0.59 open-government score used to assess Panama's transparency performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001243:37:5", "occurrence_id": "e5f6d3ebf0eda461f27f92f3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  from registry of<br>beneficiaries database.<br> <br>M&E team of the<br>PMU and other project<br>beneficiary entities.<br>|\n|MSMEs accessing improved financial<br>services due to implementation of ENIF.|Number of MSMEs<br>accessing financial services<br>due to the implementation<br>of the National Strategy of<br>Financial Inclusion (ENIF).<br>According to ENIF, improved<br>financial services include (i)<br>the use of payment<br>methods that are inclusive,<br>modern, secure and reliable;<br>(ii) credit products and<br>other financing mechanisms<br>evaluated with modern<br>techniques, backed by non-<br>conventional guarantees|<br> <br>Every 6<br>months.<br>|Administrativ<br>e data from<br>MINECO.<br>|Analysis<br>of administrative data<br>from MINECO.<br>|M&E team of the PMU<br>with the support of<br>MINECO.<br>|\n\n\nPage 26\n\nMention: \"beneficiaries database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Project beneficiary registry from which indicator data is drawn for M&E reporting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001243:37:5", "occurrence_id": "8c03bc2d4e1c09cdc7db6862", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  from registry of<br>beneficiaries database.<br> <br>M&E team of the<br>PMU and other project<br>beneficiary entities.<br>|\n|MSMEs accessing improved financial<br>services due to implementation of ENIF.|Number of MSMEs<br>accessing financial services<br>due to the implementation<br>of the National Strategy of<br>Financial Inclusion (ENIF).<br>According to ENIF, improved<br>financial services include (i)<br>the use of payment<br>methods that are inclusive,<br>modern, secure and reliable;<br>(ii) credit products and<br>other financing mechanisms<br>evaluated with modern<br>techniques, backed by non-<br>conventional guarantees|<br> <br>Every 6<br>months.<br>|Administrativ<br>e data from<br>MINECO.<br>|Analysis<br>of administrative data<br>from MINECO.<br>|M&E team of the PMU<br>with the support of<br>MINECO.<br>|\n\n\nPage 26\n\nMention: \"administrative data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Ministry administrative data analysed every six months to report on credit-product evaluation indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001227:20:2", "occurrence_id": "f2bb80910fc3ea0c37b055c3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a clear strategic direction will be needed in parallel to the commercial approach to reach remote rural areas.\nThe planned PASA will review the barriers in the market and identify the necessary design changes for developing an effective\noff-grid market and faster uptake in rural Liberia.\n\n\n21. **Recognizing the critical role electricity plays in promoting economic growth and development, GoL has now adopted**\n**a National Electrification Strategy (NES) embracing the target of universal access to electricity by 2030 through both grid**\n**and off-grid options.** <sup>27</sup> [^27: The NES was developed with funding support from the Public-Private Infrastructure Advisory Facility (PPIAF) and Sustainable Energy for All\nmanaged by the World Bank.] Based on geospatial analyses of clustering of households and other load centers, the NES provides a\nroadmap for access expansion through a combination of expansion and densification of the LEC grid infrastructure, expansion\nof the distribution network along the CLSG corridor, expansion of cross-border systems, development of large and singlecommunity mini-grids, and a significant scale-up of stand-alone solar solutions. The geospatial analysis underpinning the\nstrategy involved gathering of various geospatial datasets for major roads, towns and populations centers, administrative\n\n\n23 RESMP, 2016.\n24 Global Solar Atlas prepared by the World Bank (www.globalsolaratlas.info).\n25 In terms of other renewable energy sources, biomass gasification has been tested in Liberia with promising results despite the challenges facing\nthe technology. However, despite having access to an extensive coastline, Liberia’s wind power potential is very low, with average wind speeds of\nless than 5 meter/second in most of the country according to the regional wind map by Economic Community of West African States’ Observatory\n[for Renewable Energy and Energy Efficiency (ECREEE) (www.ecowrex.org).](http://www.ecowrex.org/)\n\n26 A number of large and smaller mini-grids are being supported by US Agency for International Development (USAID),\n\nMention: \"geospatial datasets\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Roads, towns, population centres and boundaries gathered for the electrification strategy's geospatial analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001227:20:2", "occurrence_id": "25771e36de148ab998c5f81f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a clear strategic direction will be needed in parallel to the commercial approach to reach remote rural areas.\nThe planned PASA will review the barriers in the market and identify the necessary design changes for developing an effective\noff-grid market and faster uptake in rural Liberia.\n\n\n21. **Recognizing the critical role electricity plays in promoting economic growth and development, GoL has now adopted**\n**a National Electrification Strategy (NES) embracing the target of universal access to electricity by 2030 through both grid**\n**and off-grid options.** <sup>27</sup> [^27: The NES was developed with funding support from the Public-Private Infrastructure Advisory Facility (PPIAF) and Sustainable Energy for All\nmanaged by the World Bank.] Based on geospatial analyses of clustering of households and other load centers, the NES provides a\nroadmap for access expansion through a combination of expansion and densification of the LEC grid infrastructure, expansion\nof the distribution network along the CLSG corridor, expansion of cross-border systems, development of large and singlecommunity mini-grids, and a significant scale-up of stand-alone solar solutions. The geospatial analysis underpinning the\nstrategy involved gathering of various geospatial datasets for major roads, towns and populations centers, administrative\n\n\n23 RESMP, 2016.\n24 Global Solar Atlas prepared by the World Bank (www.globalsolaratlas.info).\n25 In terms of other renewable energy sources, biomass gasification has been tested in Liberia with promising results despite the challenges facing\nthe technology. However, despite having access to an extensive coastline, Liberia’s wind power potential is very low, with average wind speeds of\nless than 5 meter/second in most of the country according to the regional wind map by Economic Community of West African States’ Observatory\n[for Renewable Energy and Energy Efficiency (ECREEE) (www.ecowrex.org).](http://www.ecowrex.org/)\n\n26 A number of large and smaller mini-grids are being supported by US Agency for International Development (USAID),\n\nMention: \"Global Solar Atlas\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Solar resource atlas cited among the sources underpinning the least-cost electrification strategy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001227:20:2", "occurrence_id": "672c28f141c553a24312b08b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a clear strategic direction will be needed in parallel to the commercial approach to reach remote rural areas.\nThe planned PASA will review the barriers in the market and identify the necessary design changes for developing an effective\noff-grid market and faster uptake in rural Liberia.\n\n\n21. **Recognizing the critical role electricity plays in promoting economic growth and development, GoL has now adopted**\n**a National Electrification Strategy (NES) embracing the target of universal access to electricity by 2030 through both grid**\n**and off-grid options.** <sup>27</sup> [^27: The NES was developed with funding support from the Public-Private Infrastructure Advisory Facility (PPIAF) and Sustainable Energy for All\nmanaged by the World Bank.] Based on geospatial analyses of clustering of households and other load centers, the NES provides a\nroadmap for access expansion through a combination of expansion and densification of the LEC grid infrastructure, expansion\nof the distribution network along the CLSG corridor, expansion of cross-border systems, development of large and singlecommunity mini-grids, and a significant scale-up of stand-alone solar solutions. The geospatial analysis underpinning the\nstrategy involved gathering of various geospatial datasets for major roads, towns and populations centers, administrative\n\n\n23 RESMP, 2016.\n24 Global Solar Atlas prepared by the World Bank (www.globalsolaratlas.info).\n25 In terms of other renewable energy sources, biomass gasification has been tested in Liberia with promising results despite the challenges facing\nthe technology. However, despite having access to an extensive coastline, Liberia’s wind power potential is very low, with average wind speeds of\nless than 5 meter/second in most of the country according to the regional wind map by Economic Community of West African States’ Observatory\n[for Renewable Energy and Energy Efficiency (ECREEE) (www.ecowrex.org).](http://www.ecowrex.org/)\n\n26 A number of large and smaller mini-grids are being supported by US Agency for International Development (USAID),\n\nMention: \"regional wind map\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Wind map showing speeds below 5 metres per second across most of Liberia, used to rule out wind power.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001243:41:7", "occurrence_id": "d994454cd240427e28eae1f8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Partners and other<br>project beneficiary<br>entities.<br>|\n|Number of sub-projects (business<br>plans) funded by the innovation<br>challenge mechanism approved.<br>Total number of innovative<br>subprojects approved<br>according to the terms of<br>the POM.<br>Every 6<br>months.<br> <br>Registry of<br>beneficiaries.<br> <br>Analysis of data of<br>registry of beneficiaries<br>of the innovation<br>challenge mechanism.<br> <br>M&E team of the PMU,<br>Business Development<br>Partners and other<br>project beneficiary<br>entities.<br>|Number of sub-projects (business<br>plans) funded by the innovation<br>challenge mechanism approved.<br>Total number of innovative<br>subprojects approved<br>according to the terms of<br>the POM.<br>Every 6<br>months.<br> <br>Registry of<br>beneficiaries.<br> <br>Analysis of data of<br>registry of beneficiaries<br>of the innovation<br>challenge mechanism.<br> <br>M&E team of the PMU,<br>Business Development<br>Partners and other<br>project beneficiary<br>entities.<br>|Number of sub-projects (business<br>plans) funded by the innovation<br>challenge mechanism approved.<br>Total number of innovative<br>subprojects approved<br>according to the terms of<br>the POM.<br>Every 6<br>months.<br> <br>Registry of<br>beneficiaries.<br> <br\n\nMention: \"registry of beneficiaries\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Beneficiary registry of the innovation challenge mechanism whose data is analysed for sub-project indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001336:60:1", "occurrence_id": "f8c75cc4fda367145a1f37ff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ’ingénierie. Cela indique une pénurie substantielle du côté des talents (notamment au niveau du secondaire et de\nl’enseignement supérieur).\n\n\n**Données relatives au genre à Djibouti**\n\n\n\n\n\n\n\n\n\n\n\n|Col1|Hommes|Femmes|Source (année)|\n|---|---|---|---|\n|Taux de participation à la<br>population active|69 %|50 %|Banque mondiale<br>(2019)38|\n|Chômage|34 %|50 %|Banque mondiale (2019) <br>39|\n|Participation des femmes<br>à la propriété des<br>entreprises|78 %|22 %|Banque mondiale (2013)|\n|Étudiants en ingénierie|84 %|16 %|Faculté d’Ingénieurs de<br>Djibouti (2020)|\n|Total des employés<br>d’EDD|82 %|18 %|EDD (2020)|\n\n\n38 WDI (août 2020)\n39 Le commerce électronique, un tremplin pour les femmes entrepreneurs de Djibouti. Disponible à l’adresse :\n_[https://www.banquemondiale.org/fr/news/feature/2019/01/14/e-commerce-helping-djiboutian-women-entrepreneurs-reach-the-world](https://www.banquemondiale.org/fr/news/feature/2019/01/14/e-commerce-helping-djiboutian-women-entrepreneurs-reach-the-world)_\n\n\nPage 56 sur\n\nMention: \"Données relatives au genre à Djibouti\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Table of Djibouti gender indicators — participation and unemployment by sex — sourced to World Bank data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001351:17:1", "occurrence_id": "a5ce7be30d537e3a2bb764bb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  With regards to the absorptive capacity, the health sector has a\ngood track record. Besides that, the UN Agencies can further enhance the implementation capacity. The proposed\noperation will use the ongoing implementation mechanisms of Sehatmandi (contracted NGOs as experienced services\nproviders who are already mobilized) which will allow the COVID-19 operation to fast track implementation.\n\n**32.** **Retroactive financing** . Retroactive financing up to US$40 million of the total Grant amount will be allowed for eligible\nexpenditures incurred by the Government from January 1, 2020. The Bank will review related Government\nexpenditures for eligibility to be reimbursed.\n\n**B. Project Components**\n\n33. The project components are aligned with the objectives of the COVID-19 Strategic Preparedness and Response\nProgram (SPRP), and will comprise five components, including one contingent financing component:\n\n34. **Component 1: Emergency COVID-19 Response (US$14 million from COVID-19 FTF, US$20 million from IDA):** The aim\nof this component is to slow down and limit as much as possible the spread of COVID-19 in the country. This will be\nachieved through providing immediate support to enhance disease detection capacities through increasing\nsurveillance capacities, provision of technical expertise, strengthening laboratory and diagnostic systems to ensure\nprompt case finding and local containment. Enhanced detection capacities will be supported through updated training\nto existing surveillance workers, improving reporting by frontline health workers using existing surveillance\ninformation and, where possible, contact tracing of known cases. Laboratory capacity to diagnose both human and\nanimal health potential diseases at national and provincial level will be strengthened; standardized sample collection,\nchanneling and transportation will be established; introduce point of care diagnostics at selected sites; and establish\nnational accreditation process for testing in public and private laboratories.\n\n35. Local containment will be supported through the establishment of local isolation units in hospitals and widespread\ninfection control training\n\nMention: \"surveillance\ninformation\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Existing health surveillance reporting that frontline workers will use to improve case detection.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001400:14:1", "occurrence_id": "9a515f076eb71c64bd2ea090", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nemergency personnel, medical, laboratory and testing facilities, and health agencies across the WB&G.\nThe population size of the WB&G is 4.78 million (2017). For immediate response to stop the transmission\nand allocate necessary resources for treatment of cases, the project specifically will prioritize\ninterventions in governorates and communities that face local transmission4. The operation will also\nstrengthen the MOH national response plan and capacity to mitigate any further outbreaks in other\nlocalities to tackle any outbreaks in other areas.\n\n4 State of Palestine. Preliminary Results of the Population, Housing and Establishments Census, 2017. Palestinian Central Bureau of\nStatistics. February; 2018. Accessed on March 12, 2020 at\n_<u>http://www.pcbs.gov.ps/portals/_pcbs/PressRelease/Press_En_Preliminary_Results_Report-en-with-tables.pdf</u>_\n\n\nPage 11 of 28\n\nMention: \"Population, Housing and Establishments Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census whose preliminary 2017 results give the population base for sizing the health response.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001351:21:1", "occurrence_id": "e30425b2b5f141b47b020f8c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  customized performance management framework and standard operating procedures (SOP) with a\nclearly defined process to render performance as central metric for reward and sanction of the SPs based on their\nperformance (Pay for Performance or P4P). For this project also, the procurement and contract management for SPs\nwill be carried out by the MOPH. The provision of services by SPs will be monitored through the regular Health\nManagement Information System (HMIS) and through facility and household surveys carried out by a third-party\nmonitoring (TPM) firm. Based on the performance reviews of the SPs under the Sehatmandi project, their performance\nhas been generally satisfactory. For the remaining three provinces (Parwan, Kapisa, and Panjshir) which is managed\nby MOPH, under this project, technical assistance will be financed to support the MOPH to implement services delivery\nfor the COVID-19 response. The communication between the MOPH and the contracted SPs as guided by the Standard\nOperating Procedure (SOP) will be strengthened to avoid multiple, often conflicting, communications from Technical\nDepartments, the MOPH leadership, and the Performance Management Office (PMO). For tertiary hospitals in Kabul\nmanaged by MOPH, isolation wards will be needed to treat complicated cases that are referred there. Options for\nmanaging this may include contracting to an NGO service provider or to a UN Agency. For provincial hospitals and\ncomprehensive health centers in the 31 provinces managed by SPs, installation and management of isolation wards\nfor the treatment of cases referred there will be the responsibility of the contracted SPs.\n\n51. All procurement under the project will be undertaken by the Implementing Unit, GCMU-MOPH/Sehatmandi, within\nthe Ministry of Public Health. All high value procurement above the threshold of delegated authority of MOPH that\nrequires facilitation support from National Procurement Authority, the specialized unit for Donor Funded\nProcurement within the Facilitation Directorate of NPA will provide\n\nMention: \"Health\nManagement Information System\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Routine HMIS monitoring of service-provider performance, alongside third-party facility and household surveys.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001351:21:1", "occurrence_id": "b377e683bf405e50af343183", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  customized performance management framework and standard operating procedures (SOP) with a\nclearly defined process to render performance as central metric for reward and sanction of the SPs based on their\nperformance (Pay for Performance or P4P). For this project also, the procurement and contract management for SPs\nwill be carried out by the MOPH. The provision of services by SPs will be monitored through the regular Health\nManagement Information System (HMIS) and through facility and household surveys carried out by a third-party\nmonitoring (TPM) firm. Based on the performance reviews of the SPs under the Sehatmandi project, their performance\nhas been generally satisfactory. For the remaining three provinces (Parwan, Kapisa, and Panjshir) which is managed\nby MOPH, under this project, technical assistance will be financed to support the MOPH to implement services delivery\nfor the COVID-19 response. The communication between the MOPH and the contracted SPs as guided by the Standard\nOperating Procedure (SOP) will be strengthened to avoid multiple, often conflicting, communications from Technical\nDepartments, the MOPH leadership, and the Performance Management Office (PMO). For tertiary hospitals in Kabul\nmanaged by MOPH, isolation wards will be needed to treat complicated cases that are referred there. Options for\nmanaging this may include contracting to an NGO service provider or to a UN Agency. For provincial hospitals and\ncomprehensive health centers in the 31 provinces managed by SPs, installation and management of isolation wards\nfor the treatment of cases referred there will be the responsibility of the contracted SPs.\n\n51. All procurement under the project will be undertaken by the Implementing Unit, GCMU-MOPH/Sehatmandi, within\nthe Ministry of Public Health. All high value procurement above the threshold of delegated authority of MOPH that\nrequires facilitation support from National Procurement Authority, the specialized unit for Donor Funded\nProcurement within the Facilitation Directorate of NPA will provide\n\nMention: \"facility and household surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Third-party monitoring surveys used to verify service-provider performance for pay-for-performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001364:33:0", "occurrence_id": "35f771aae903243e9c9abb8f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMauritania COVID-19 Strategic Preparedness and Response Project (SPRP) (P173837)\n\n\n\n\n\n|Monitoring & Evaluation Plan: PDO Indicators|Col2|Col3|Col4|Col5|Col6|\n|---|---|---|---|---|---|\n|**Indicator Name **|**Definition/Description **<br>|**Frequency **|**Datasource **|**Methodology for Data**<br>**Collection **|**Responsibility for Data**<br>**Collection **|\n|Suspected cases of COVID-19 reported<br>and investigated per approved protocol|Percentage of suspected<br>cases of COVID-19 cases<br>reported and investigated<br>per approved protocol <br>|Monthly<br> <br>|HMIS<br>|<br>Collected by the Ministry<br>of Health (MOH)<br>|<br>MOH<br>|\n|Health facilities with trained staff in<br>Covid-19 infection prevention control per<br>MoH approved protocol|<br>Numerator: Health facilities<br>with trained staff in Covid-<br>19 infection prevention<br>control per MoH approved<br>protocols <br>Denominator: Total<br>number of health facilities. <br>|<br>Semi-<br>annual<br>|Project<br>reports<br>|Data collected by MOH<br>|MOH<br>|\n|Reference and district hospitals with<br>personal protective equipment and<br>infection control products and supplies,<br>without\n\nMention: \"Data collected by MOH\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"source\", \"summary\": \"Ministry-collected data named as the source for the trained-staff indicator's numerator and denominator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001400:13:0", "occurrence_id": "b86436492d2540033da01304", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWest Bank and Gaza COVID-19 Emergency Response (P173800)\n\n\n**B. Project Components**\n\nComponent 1: Emergency COVID-19 Response (US$2.1 million)\n\n\n16. The aim of this component is to slow down and limit as much as possible the spread of COVID-19 in the\nWB&G. This will be achieved through providing immediate support to enhance case detection,\nconfirmation, recording and reporting, contact tracing and risk assessment and mitigation. Specifically,\nthis component will strengthen epidemiological surveillance systems, including indicator-based,\ncommunity event-based, and sentinel surveillance. It will also develop guidelines and establish\nstandardized sample collection methods, channeling and transportation, and determining sites in need\nfor introduction of point of care diagnostics. Further, the component will support the procurement of\nessential equipment and consumables for laboratory and diagnostic systems, such as Polymerase Chain\nReaction (PCR) machines, sample collection kits, test kits, and other equipment and supplies for COVID19 testing and surveillance (including Personal Protective Equipment for surveillance workers) to ensure\nprompt case finding and local containment. The project will only finance inputs aligned with WHO\nguidelines and standards for combating COVID-19. <sup>.</sup> In addition, the component will support\nstrengthening of detection capacity through updated training of existing surveillance workers and\nimproving reporting by frontline health workers using existing surveillance information.\n\n\n17. Further, this component will support the design and implementation of effective public health measures\nto prevent contagion and will also support the development and implementation of associated\ncommunication and behavior change interventions to support key prevention behaviors. Community\nmobilization and participation in prevention and control measures will also take place through existing\ncommunity institutions. Finally, the component will also support activities to enhance multisectoral\nresponse and action, including inter alia: the operations of command rooms at the central and regional\nlevels; implementation of risk commutations and community engagement campaigns;\n\nMention: \"surveillance information\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Existing surveillance data whose frontline reporting the project will strengthen to improve detection.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001412:32:1", "occurrence_id": "d1211ad175d6fc1971263724", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  will be\n\nrequired on a technical level in terms of procurement, fiduciary and safeguards management. This will\ninclude supporting the teams in MSPBS responsible for project implementation in (i) task planning,\nfinancial planning and supervision by local teams, (ii) review of important ToRs for key consultancies, and\n(iii) coordination with development partners. The project will benefit from the PPHSS Project (P167996)\nthat was recently approved and is supporting the overall health system in Paraguay.\n\n\n(c) **M&E and learning.** The Project will rely on the country’s existing monitoring and evaluation systems. In\n\nparticular, DGAF will use the Surveillance Subsystem of the National Health Information System for\ntracking the evolution of reported cases and laboratory testing. The Bank supervision team will be\nreviewing the data and discuss any quality issues.\n\n\n(d) **Fiduciary assurance support.** The Bank task team will provide hands-on guidance related to review and\n\naudit reporting procedures. Similarly, procurement activities will be spread by types of procurement, and\nsize of contracts. This will require intensive supervision support.\n\n\n(e) **Social and environmental safeguards.** The monitoring and mitigation of social risks will require\n\nexperienced expertise on the Bank task team with a good understanding of the culture and business\nprocess in Paraguay. In addition, adequate staff time and resources will be provided to review site-specific\nenvironmental management measures during the investment planning process. Special emphasis will be\nplaced on the (i) monitoring of the participation of marginal and vulnerable social groups, (ii)\nstrengthening of the GRM, (iii) other feedback loops to solicit feedback and grievances from the\nbeneficiates.\n\n\nPage 28 of 29\n\nMention: \"National Health Information System\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"NHIS surveillance subsystem used to track reported cases and laboratory testing, reviewed by Bank supervision.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001412:18:0", "occurrence_id": "0370eef980a11f9169b2d18b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPY: COVID-19 Emergency Response Project (P173805)\n\n\nrisks for patients and health personnel. <sup>14</sup> [^14: As COVID-19 would place a substantial burden on inpatient and outpatient health care services, support would be provided for\nequipping selected health facilities for the delivery of critical medical services and to help them cope with the increased demand of\nservices likely to arise due to the pandemic, while strengthening intra-hospital infection control measures including necessary\nimprovements in blood transfusion services to ensure the availability of safe blood products. Steps would be taken to increase hospital\nbed availability, including deferring elective procedures, more stringent triage for admission, and earlier discharge with follow-up.] The sub-component will finance, among others: (i) appropriate protective\nequipment and hygiene materials for health personnel; (ii) medical supplies, medicines and equipment for public\nhealth facilities and specific equipment for intensive care units <sup>15</sup> [^15: Including support for the isolation of confirmed cases or suspected cases as needed.] ; (iii) supplies and equipment for blood banks; (iv)\nambulances for patient transportation; and (v) medical waste management and disposal systems.\n\n\n**Component 2: Implementation Management and Monitoring and Evaluation (US$0.8 million)**\n\n**29.** **Provide technical support to strengthen Project management and supervision, including institutional**\n**arrangements for coordination, financial management (FM), procurement, M&E and environmental and social**\n**management.** Relevant structures would be strengthened through the recruitment of additional personnel\nresponsible for overall project administration, procurement, FM, M&E and environmental and social management.\nAs a result, the project will finance consulting services and operational costs associated with project coordination\nand implementation, and financial audit activities.\n\n**30.** Large volumes of personal data, personally identifiable information and sensitive data are likely to be collected and\n\nMention: \"personal data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Personal, identifiable and sensitive data the project will collect, flagged for privacy and data-management safeguards.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001368:12:2", "occurrence_id": "10ef4a97bb4c197af1eb3707", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Out-of-pocket payment accounts for 60 percent and is an important\nsource of debt and impoverishment for the poor. Based on data from the 2017 Cambodia Socioeconomic Survey,\napproximately 6.3 percent of the population endured catastrophic spending and 3.1 percent had to incur debt\nto pay for health expenditures.\n\n\n13. **The quality of health services in Cambodia is suboptimal however, with significant gaps and weaknesses.**\nBeneficiaries incur high out-of-pocket payment due to the perceived poor quality of care in certain public\nfacilities, even when they are covered by Health Equity Fund. In addition to some remaining gaps in\ninfrastructure, Cambodia faces a major challenge with the skills and competencies of its health workforce and\nneeds both pre-service and in-service training improvements and a renewed focus on competency-based\n\n\nPage 9 of 35\n\nMention: \"2017 Cambodia Socioeconomic Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 6.3 percent catastrophic-spending and 3.1 percent health-indebtedness figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001368:25:0", "occurrence_id": "7c0d7f56a66a18dd96a4053d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCambodia COVID-19 Emergency Response Project (P173815)\n\n\n**impacted by the outbreak.** Potential tightening of credit conditions, weaker growth, and the allocation of public\nresources to fight the outbreak are likely to reduce governments’ ability to invest in other sectors. Low-income\ncountries are expected to feel the impact, as current estimates suggest that a one percent decline in developing\ncountry growth rates traps an additional 20 million people into poverty.\n\n59. **The outbreak weighs on economic activity through both demand and supply channels.** On the demand\nside, activities involving interactions between people are reduced in efforts to prevent transmission of the virus.\nOn the supply side, prevention measures, such as factory closures, have significantly disrupted production of\ntradable and non-tradable goods around the world. Available high-frequency data point to a major contraction\nin economic activity in China this quarter. These include sharp downturns in daily coal consumption for power\ngeneration, average road congestion, nationwide passenger traffic, tourism activity, and container throughput\nat Chinese ports. A month after Chinese New Year (January 25, 2020), travel within China had reduced by 80\npercent compared to before the start of the outbreak. Most international carriers have cancelled their flights to\nChina until at least the end-April 2020, and maybe longer. In January-February 2020, container shipping\ncompanies stopped movement of vessels at a record pace. At end-February 2020, coal use in major power\ngeneration plants had decreased by 50 percent compared to the same period in 2019; pollution, an indicator of\nindustrial production, was down 40 percent compared to normal. As of mid-February 2020, Morgan Stanley\nFinancial has estimated industrial production at 30-50 percent of trends from before the outbreak. Moreover,\nproduction indicators for electronics have faltered, suggesting growing disruptions to China’s globallyintegrated manufacturing sector. In this context, the manufacturing Purchasing Manager’s Index\n\nMention: \"high-frequency data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Frequent indicators such as daily coal use, road congestion and container traffic evidencing China's activity contraction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001440:4:1", "occurrence_id": "b80542908d6458886a8ea25b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , availability of essential medicines, testing capacity, among others. Between\n2005 and 2019, the Ministry of Health ( _Ministerio de Salud_, MINSA) increased its network of services from 1,092\nto 1,742 health units, averaging 8.1 beds per 10,000 inhabitants, compared to the LAC average of 21.8 beds per\n10,000 inhabitants. In 2018, there was an estimated 9.8 physicians and 15.3 nurses and midwives per 10,000\ninhabitants, compared to the LAC average of 22.8 physicians and 50.6 nurses and midwives per 10,000\ninhabitants <sup>1</sup> [^1: World Bank data indicators: https://data.worldbank.org/indicator/SH.MED.NUMW.P3?locations=ZJ-NI] . In addition, there are 178 maternity homes with 2,371 beds and 6,619 basic homes for the work\ncarried out in the communities. In Nicaragua, a total of 19 hospitals have been officially designated nationwide\nfor the care of COVID-19 cases upon detection. Hospitals’ capacity to respond could vary during an epidemic,\ndepending, for example, on the number of infected or quarantined health care workers. Based on global\nexperiences, the availability and appropriate use of personnel protective equipment for health care services is\nessential to safeguard their health and ensure sustainability of the health care provision.\n\n9. **In response to the pandemic, the MINSA activated its strategy “Containment Protocol of COVID-19.”**\nThe first official measures were taken on January 21, 2020. MINSA started by strengthening epidemiological\nsurveillance at points of entry for passengers arriving from COVID-19-affected countries. On January 30, the GON\nestablished the National Inter-institutional and Inter-sectoral Commission <sup>2</sup> [^2: _Aeronáutica Civil, Empresa Portuaria Nacional, Ministerio de Gobernación, Dirección General de Aduanas, Ministerio del_\n_Ambiente y de Recursos Naturales_, and the _Instituto de Protección y Sanidad Agropecuaria_ .] to ensure timely\n\nMention: \"World Bank data indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Published series behind the 2018 physician and nurse density figures compared with LAC averages.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001457:3:1", "occurrence_id": "4a2ca7e072dbf5979294f954", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Saharan Africa (0.40).\n\n\n6. **The economic impacts of a COVID-19 outbreak are expected to be large underscoring the need for an urgent**\n**response.** PNG’s heavy reliance on natural resources makes the country vulnerable to global market shocks in\ncommodity prices and weaker external demand – the close economic ties with China, the epicenter of COVID-19, will\nhave significant ramifications on the PNG economy. Limited fiscal space and a rigid exchange rate regime constitute\nconstraints for the authorities to react to these shocks, requiring an urgent mobilization of external financial support\nfrom the development partners. External assistance could play a key role in ensuring that service delivery can be\nstrengthened to meet the challenge of COVID-19 and increase the health system’s preparedness to manage future\npandemics.\n\n\nSectoral and Institutional Context\n\n\n7. **PNG has been buffeted by a number of health crises in recent years** . A cholera outbreak in 2009 infected\n15,500 people with 500 deaths, a chikunguniya outbreak in 2012-13 affected all 22 provinces, a measles\noutbreak in 2014 resulted in nearly 5,000 cases and 365 deaths and polio re-emerged in 2018 with an outbreak\nof vaccine-derived polio virus type 1 (cVDPV1). Tuberculosis (TB) is at public health emergency levels and PNG\nhas one of the highest rates of Multi Drug Resistant TB in the world with an incidence of 23 per 100,000\npopulation <sup>5</sup> [^5: Global Tuberculosis Report 2019\n<u>[https://www.who.int/tb/publications/global_report/tb19_Report_country_profiles_15October2019.pdf](https://www.who.int/tb/publications/global_report/tb19_Report_country_profiles_15October2019.pdf)</u>] .\n\n\n8. **A COVID-19 outbreak will further strain a health system that struggles to deliver basic health services** . <mark>PNG</mark>\n<mark>faces a shortage in health workers – there are fewer than 500 registered medical officers in\n\nMention: \"Global Tuberculosis Report 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnoted source for the MDR-TB incidence of 23 per 100,000 used to flag TB emergency levels.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001463:3:1", "occurrence_id": "29ceec73405a42e4659ed113", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  However, the lack of reliable access to water for handwashing, particularly in rural\ncommunities in Senegal, may propogate the virus. In 2017, 54 percent of the Senegalese population had\nno handwashing facility at home. <sup>4</sup> The disparities are even more striking between the poorest (7 percent)\nand wealthiest (61 percent) in access to basic and limited handwashing facilities. <sup>5</sup>\n\n\n7. **The Government of the Republic of Senegal has developed a comprehensive National COVID-**\n**19 Response Plan, which is aligned with WHO’s Strategic Preparedness and Response Plan** . The Plan\nfocuses on scaling-up and strengthening the Government’s capacity to respond to the COVID-19 outbreak.\nThe National Epidemics Management Committee will oversee the overall coordination and\nimplementation of the Plan.\n\n\n**C. Proposed Development Objective(s)**\n\n\nDevelopment Objective(s) (From PAD)\nTo prevent, detect and respond to the COVID-19 disease outbreak in Senegal.\n\n\n2 The WHO AFRO comprehensive COVID-19 risk mapping and prioritization, which includes 13 top priority countries for\npreparedness measures due to their direct links or high volume of travel to China. The countries are: Algeria, Angola Cote\nd’Ivoire and the Democratic Republic of the Congo, Ethiopia, Ghana, Kenya, Mauritius, Nigeria, South Africa, Tanzania, Uganda\nand Zambia.\n3 JEE\n4 UNICEF and WHO. 2019. Progress on household drinking water, sanitation and hygiene – 2000-2017: Special focus on\ninequalities.\n5 Basic handwashing facilities is a facility with soap and water; limited handwashing facility is a facility that is lacking either\nwater or soap.\n\n\nMar 19, 2020 Page 4 of 7\n\nMention: \"WHO AFRO comprehensive COVID-19 risk mapping and prioritization\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"WHO regional risk mapping that set the thirteen-country preparedness priority list including Senegal.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001459:5:0", "occurrence_id": "86bca608b02af532c9d5cff6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIndia COVID-19 Emergency Response and Health Systems Preparedness Project (P173836)\n\n\nlearned from SARS and other outbreaks; and (vi) and summary of core lessons from Bank’s health emergency\noperations.\n\n**All of the following components will support the acceleration and scale up of the GOI response to COVID-19,**\nwhile serving the dual purpose of building systems to respond to future disease outbreaks.\n\n\n**Component 1: Emergency COVID-19 Response:** The aim of this component is to slow and limit as much as\npossible the spread of COVID-19 in India. This will be achieved through providing immediate support to enhance\ndisease detection capacities through: increasing surveillance capacities, port health screening, provision of\ntechnical expertise, strengthening laboratory and diagnostic systems to ensure prompt case finding, and local\ncontainment. Enhanced detection capacities will be supported through updated training of existing surveillance\nworkers, improving reporting by frontline health workers using existing surveillance information and, where\npossible, contact tracing of known cases. Laboratory capacity to diagnose both potential human and animal\ndiseases at national and provincial level will be strengthened through: procuring and replenishing supplies of\nreagents and kits; upgrading virus repository and reference reagents; standardizing sample collection,\nchanneling, and transportation; determining sites most in need of introduction of point-of-care diagnostics; and\nengaging private laboratories to expand capacity to test and manage COVID-19. Component 1 will also support\nthe GOI to improve capacity to manage COVID-19 cases by scaling up procurement of personal protective\nequipment, oxygen delivery systems, and medicines, and by retaining skilled health workers through extra\npayments (such as hazard pay and death benefits in line with GOI norms for compensation).\n\n**Component 2: Strengthening National and State health Systems to support Prevention and Preparedness:** The\ncomponent will support the GOI to build resilient health systems to provide core public health, prevention, and\npatient\n\nMention: \"surveillance information\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Existing surveillance data whose frontline reporting will be improved for prompt case finding and containment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001440:4:2", "occurrence_id": "835baba0842aea20ef9c51ef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sup> to ensure timely detection of COVID19 cases, seeking to prevent its spread in the country. Each member institution within the commission has clearly\ndefined functions and, must notify MINSA of entries from countries at risk and take prompt action in a\ncoordinated way in case of an emergency. On March 12, Nicaragua, along with the seven countries of the Central\nAmerican Integration System held a virtual meeting to launch the Regional Contingency Plan “Central America\nUnited against the Coronavirus.” Under this plan, the Emergency Fund supported by the Central American Bank\nfor Economic Integration allocated US$1 million for each Central American Integration System member country\nfor immediate use in case of an emergency. On July 13, MINSA issued revised guidelines to strengthen\nepidemiological controls at all entry points into the country.\n\n\n1 [World Bank data indicators: https://data.worldbank.org/indicator/SH.MED.NUMW.P3?locations=ZJ-NI](https://data.worldbank.org/indicator/SH.MED.NUMW.P3?locations=ZJ-NI)\n\n2 _Aeronáutica Civil, Empresa Portuaria Nacional, Ministerio de Gobernación, Dirección General de Aduanas, Ministerio del_\n_Ambiente y de Recursos Naturales_, and the _Instituto de Protección y Sanidad Agropecuaria_ .\n\n\nOctober 30, 2020 Page 5 of 9\n\nMention: \"World Bank data indicators\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"source\", \"summary\": \"Footnoted health-workforce indicator series behind the physician and nurse density comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001477:2:0", "occurrence_id": "dab1df3cb2e14100a9f624d0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGuatemala COVID-19 Response (P173854)\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Guatemala has experienced continued economic stability that can be attributed to a combination of**\n**inflation targeting, prudent fiscal management and a managed floating exchange rate.** The country’s strong\neconomic performance is reflected in the gross domestic product (GDP) growth rate of 3.1 percent in 2016, 2.8\npercent in 2017 and 3.1 percent in in 2018, with the economy projected to grow by 3.4 percent in 2019 and 3.5\npercent in 2020. <sup>1</sup> [^1: IMF - World Economic Outlook Database, October 2019. As retrieved on March 24, 2020. 2019 actual values are not available.]\n\n\n2. **However, Guatemala’s stability has not translated into growth acceleration to close the income gap**\n**compared with rich countries.** Poverty and inequality in the country are persistently high. Poverty, measured\nat the upper middle-income class line (US$5.5 per person per day in 2011), increased between 2006 and 2014\nfrom 43.4 to 48.8 percent, adding almost 2 million people into poverty. Extreme poverty (having less than\nUS$1.9 per person per day) affected 8.7 percent of the population in 2014, almost half a million more people\nthan in 2000. Given the slow reduction in the poverty rate, the number of people living in poverty has been\nprojected to increase by more than 175,000 between 2019 and 2021.\n\n\n3. **Inequalities persist across geographical areas and among ethnic groups, with Indigenous Peoples,**\n**who represent 43 percent of the population, continuing to be particularly disadvantaged as preliminary data**\n**from the 2018 census re-confirms.** <sup>2</sup> In\n\nMention: \"World Economic Outlook Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 2016–2018 GDP growth series and the projections for 2019 and 2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001477:2:0", "occurrence_id": "68c6b9dbdd7fe6d2953a508f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGuatemala COVID-19 Response (P173854)\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Guatemala has experienced continued economic stability that can be attributed to a combination of**\n**inflation targeting, prudent fiscal management and a managed floating exchange rate.** The country’s strong\neconomic performance is reflected in the gross domestic product (GDP) growth rate of 3.1 percent in 2016, 2.8\npercent in 2017 and 3.1 percent in in 2018, with the economy projected to grow by 3.4 percent in 2019 and 3.5\npercent in 2020. <sup>1</sup> [^1: IMF - World Economic Outlook Database, October 2019. As retrieved on March 24, 2020. 2019 actual values are not available.]\n\n\n2. **However, Guatemala’s stability has not translated into growth acceleration to close the income gap**\n**compared with rich countries.** Poverty and inequality in the country are persistently high. Poverty, measured\nat the upper middle-income class line (US$5.5 per person per day in 2011), increased between 2006 and 2014\nfrom 43.4 to 48.8 percent, adding almost 2 million people into poverty. Extreme poverty (having less than\nUS$1.9 per person per day) affected 8.7 percent of the population in 2014, almost half a million more people\nthan in 2000. Given the slow reduction in the poverty rate, the number of people living in poverty has been\nprojected to increase by more than 175,000 between 2019 and 2021.\n\n\n3. **Inequalities persist across geographical areas and among ethnic groups, with Indigenous Peoples,**\n**who represent 43 percent of the population, continuing to be particularly disadvantaged as preliminary data**\n**from the 2018 census re-confirms.** <sup>2</sup> In\n\nMention: \"2018 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Preliminary census data re-confirming that Indigenous Peoples remain particularly disadvantaged.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001293:59:1", "occurrence_id": "4459ea2202bcfd0427d08b0c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  part of<br>project implementation<br>|Consortium of Service<br>Providers<br>|\n|Strategy and capacity-building plan<br>established for monitoring, evaluation,<br>accountability and learning (MEAL) and<br>sex-disaggregated data generation|The indicator captures the<br>establishment of a need-<br>based strategy and capacity<br>building plan to ensure<br>enhanced monitoring,<br>evaluation, accountability<br>and learning, uptake and<br>generation of sex<br>disaggregated data by public<br>institutions.|<br>End-Term<br>|Evidence<br>from<br>ministerial<br>documents<br>|Evidence collected from<br>ministerial records,<br>validation and<br>discussion meeting<br>minutes.<br>|PMU<br>|\n|Qualitative agriculture survey conducted|This indicator will track<br>successful launch of the<br>agriculture survey to|Once at<br>end of year<br>three|Survey<br>conducted<br>|Ministerial publications<br>|PMU<br>|\n\n\nPage 55 of 71\n\nMention: \"ministerial records\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Ministry records and documents, validated in discussion meetings, evidencing the sex-disaggregation indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001484:16:2", "occurrence_id": "ab98b33a48eaaf6e72bb7a30", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  continue being significant causes of deaths and disability in\nHonduras, amounting to about 17 percent of total Disability Adjusted Life Years in 2017. <sup>14</sup> The age dependency ratio\n\n\n10 Net FDI inflows were 5.7 percent of GDP (2018), consisting mainly of reinvested earnings into the maquila industry and\ntelecommunications. This is higher than the average for the LAC region (3.6 percent) and for structural peers (3.1 percent).\n11 Germanwatch 2017.\n12 Indigenous Peoples and Afro-descendants are the groups most severely affected by poverty and social exclusion, which is normally\nexacerbated by extreme water events and disaster risk. While these groups account for an estimated 8.6 percent of the national\npopulation, rough estimates from indigenous organizations indicate that more than 70 percent live in poverty and more than half are\nunemployed. A lack of information from household surveys has translated into a lack of official estimates of poverty rates among these\ngroups.\n13 World Development Indicators, World Bank, 2020\n14 Global Burden of Disease, Institute of Health Metrics and Evaluation, 2020. The disability-adjusted life year is expressed as the\nnumber of years lost due to ill-health, disability or early death.\n\n\nPage 12 of 37\n\nMention: \"Global Burden of Disease\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the disability-adjusted life year estimates behind the disease-burden figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001540:3:2", "occurrence_id": "176649e4c1d499e963c8f2a7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Sousse). As for accessibility, not all public health care facilities are operational on\na daily basis <sup>8</sup> . Gaps between the poorest and the richest quintiles are particularly evident in the access to\nmaternal and child health services. In fact, the proportion of women who benefited from 4 antenatal visits\nremains low in the poorest quintile with 70.1 percent compared with 94.2 in the richest quintile. With respect\nto postnatal examination for children, about 5.2 <sup>9</sup> percent of children in the poorest quintile did not benefit from\n\n\n3 Source: WHO 2016\n4 Source: Tunisian Health Examination Survey, THES-2016\n5 Onder, G., Rezza, G. and Brusaferro, S. 2020. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19\nin Italy. JAMA. doi:10.1001/jama.2020.4683\n6 Source: MICS 2018\n7 At least one antenatal visit. Source: MICS 2018 data\n8 Only 20% of Basic Health Centers (centre de soins de base) provide daily medical consultations, and of which more than 60%\nare in coastal governorates.\n\n\n9 Source: MICS 2018\n\n\nApr 02, 2020 Page 4 of 11\n\nMention: \"THES-2016\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"source\", \"summary\": \"Named in the source notes as the Tunisian Health Examination Survey behind cited health statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001540:3:2", "occurrence_id": "85298baa965affd576ee48db", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Sousse). As for accessibility, not all public health care facilities are operational on\na daily basis <sup>8</sup> . Gaps between the poorest and the richest quintiles are particularly evident in the access to\nmaternal and child health services. In fact, the proportion of women who benefited from 4 antenatal visits\nremains low in the poorest quintile with 70.1 percent compared with 94.2 in the richest quintile. With respect\nto postnatal examination for children, about 5.2 <sup>9</sup> percent of children in the poorest quintile did not benefit from\n\n\n3 Source: WHO 2016\n4 Source: Tunisian Health Examination Survey, THES-2016\n5 Onder, G., Rezza, G. and Brusaferro, S. 2020. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19\nin Italy. JAMA. doi:10.1001/jama.2020.4683\n6 Source: MICS 2018\n7 At least one antenatal visit. Source: MICS 2018 data\n8 Only 20% of Basic Health Centers (centre de soins de base) provide daily medical consultations, and of which more than 60%\nare in coastal governorates.\n\n\n9 Source: MICS 2018\n\n\nApr 02, 2020 Page 4 of 11\n\nMention: \"MICS 2018 data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cluster survey data cited for antenatal-care coverage and other child-health indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001507:2:1", "occurrence_id": "ba977caca46ce63a763578a3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the Indigenous “Comarcas,” for example, poverty rates surpass 80 percent,\nhighlighting the need to create more equal opportunities for growth and human capital development. Further,\ndespite Panama’s robust economic growth, progress toward reducing inequality has been slower than in other\ncountries in the region. Between 2007 and 2017, each percentage point increase in GDP resulted in only a 0.05\npercent reduction in the GINI in Panama, compared to 0.28 percent in the LAC region. <sup>3</sup> [^3: Astudillo et al. 2019.]\n\n\n**3.** **The challenges related to inequality are further exacerbated by Panama’s exposure to multiple**\n**hazards.** Panama ranks 14 <sup>4</sup> [^4: Out of 75 countries studied. See Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A. L., and Arnold, M. 2005. Natural Disaster\nHotspots: A Global Risk Analysis. Disaster Risk Management Series. No. 5 See also Disaster Risk Management Program Panama;\nMagrin et al., 2007. Latin America. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group\nII to the Fourth Assessment Report of the IPCC] among countries most exposed to multiple hazards including intense and protracted\nrainfall, windstorms, floods, droughts, wildfires, earthquakes and landslides. Climate change threatens to\nincrease vulnerability to these hazards, as they become less predictable, more frequent, and more intense. The\neconomic and livelihood impacts affect Indigenous populations in particular, given their dependence on their\nnatural surroundings for subsistence (food, medicine, shelter) and customary practices.\n\n\n[1 World Bank. 2020. World Development Indicators. https://databank.worldbank.org.](https://databank.worldbank.org/source/world-development-indicators)\n2 International Monetary Fund (IMF). 2019. Panama: Staff ReportIV-Consultation-Press-Release-Staff-Report\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnoted WDI source for the poverty and inequality figures framing the pandemic impact analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001507:4:1", "occurrence_id": "bf2d04e0bded7d74e08df1e5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  minimize disease spread, morbidity and mortality. The proposed Project will attempt to implement\nclimate-change adaptation measures when possible, and to address gender issues, as necessary.\n\n\n**10.** **Component 1: Strengthening the response to COVID-19 and national systems for public health**\n**preparedness** . This component will support prevention and containment of COVID-19 by financing critical inputs\nfor infection control in health facilities as well as investigation of suspected cases and contacts tracing and\nstrengthen disease detection capacities through the provision of laboratory equipment and supplies to ensure\nprompt testing and diagnosis. The Project will also support critical aspects of health service provision in order\nto mobilize surge response capacity, particularly the provision of intensive care. This component will include\ntwo sub-components, as follows:\n\n\n**11.** **Sub-component 1.1: Support measures to prevent the spread of COVID-19** This sub-component aims\nat safeguarding the frontline workers’ environment for the provision of care under protocols critical to the\nCOVID-19 response; and promoting the application of health hygiene protocols in the overall population.\n\n\n**12.** **Sub-component 1.2: Strengthen case detection capacity and support critical aspects of health service**\n**provision** . This sub-component will focus on case detection, tracing and proper care provision, ensuring that\npotential COVID-19 cases are identified and referred to treatment as appropriate. Rapid investigation of\nsuspected cases and potential contacts with proper testing and follow up is a key tool to prevent further spread\nof the disease.\n\n\n[5 MINSA. 2020. Casos de Coronavirus COVID-19 en Panama. http://minsa.gob.pa/coronavirus-covid19. Accessed, April 16, 2020.](http://minsa.gob.pa/coronavirus-covid\n\nMention: \"Casos de Coronavirus COVID-19 en Panama\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ministry case feed footnoted for the identified and referred COVID-19 case counts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001540:3:1", "occurrence_id": "5f234c5cdcf92305b099aae5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 121 per 100,000). However, like other countries of similar income level, Tunisia is facing an\nepidemiological transition with a shift from communicable to non-communicable diseases, including cardiovascular\ndisease, hypertension and diabetes. In 2016, the prevalence rates of diabetes and hypertension among adults were\n15.5 percent and 28.7 <sup>4</sup> [^4: Source: Tunisian Health Examination Survey, THES-2016] percent, respectively. This is significant given evidence that the elderly and persons with comorbidities experience higher mortality from COVID-19. <sup>5</sup> [^5: Onder, G., Rezza, G. and Brusaferro, S. 2020. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19\nin Italy. JAMA. doi:10.1001/jama.2020.4683] In this regard, the country’s population structure is important,\nas 13.5 percent of the population is aged over 60 years.\n\n\n5. **Tunisia has over the past four decades witnessed improvements in the availability of, and access to,**\n**essential health services.** Coverage of immunization for diphtheria, pertussis and tetanus, among children aged\n12-23 months has increased from 62 percent in 1983 to 97 percent in 2018. Births attended by skilled health\npersonnel has also risen from 69 percent in 1988 to 99.5 percent in 2018 <sup>6</sup> [^6: Source: MICS 2018] . In the same time period, antenatal\ncare coverage <sup>7</sup> [^7: At least one antenatal visit. Source: MICS 2018 data] also recorded an impressive increase, rising from 58 percent in 1988 to 95.3 percent in 2018.\nYet, despite these achievements, the country faces regional and socio-economic disparities in the distribution\nof and access to health care resources. The geographic distribution of physicians stands out as the most\nunequal, with a significant concentration of specialists in both the\n\nMention: \"Tunisian Health Examination Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey behind the 2016 adult prevalence rates of diabetes and hypertension.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001540:3:1", "occurrence_id": "f6a40a49a19e6ff702ac084f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 121 per 100,000). However, like other countries of similar income level, Tunisia is facing an\nepidemiological transition with a shift from communicable to non-communicable diseases, including cardiovascular\ndisease, hypertension and diabetes. In 2016, the prevalence rates of diabetes and hypertension among adults were\n15.5 percent and 28.7 <sup>4</sup> [^4: Source: Tunisian Health Examination Survey, THES-2016] percent, respectively. This is significant given evidence that the elderly and persons with comorbidities experience higher mortality from COVID-19. <sup>5</sup> [^5: Onder, G., Rezza, G. and Brusaferro, S. 2020. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19\nin Italy. JAMA. doi:10.1001/jama.2020.4683] In this regard, the country’s population structure is important,\nas 13.5 percent of the population is aged over 60 years.\n\n\n5. **Tunisia has over the past four decades witnessed improvements in the availability of, and access to,**\n**essential health services.** Coverage of immunization for diphtheria, pertussis and tetanus, among children aged\n12-23 months has increased from 62 percent in 1983 to 97 percent in 2018. Births attended by skilled health\npersonnel has also risen from 69 percent in 1988 to 99.5 percent in 2018 <sup>6</sup> [^6: Source: MICS 2018] . In the same time period, antenatal\ncare coverage <sup>7</sup> [^7: At least one antenatal visit. Source: MICS 2018 data] also recorded an impressive increase, rising from 58 percent in 1988 to 95.3 percent in 2018.\nYet, despite these achievements, the country faces regional and socio-economic disparities in the distribution\nof and access to health care resources. The geographic distribution of physicians stands out as the most\nunequal, with a significant concentration of specialists in both the\n\nMention: \"MICS 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cluster survey supplying the 2018 immunisation, skilled-birth-attendance and antenatal coverage levels.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001463:2:0", "occurrence_id": "08564c2ae0f7e29d87701521", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSenegal COVID-19 Response Project (P173838)\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n1. **Senegal is considered one of Africa’s most stable countries and a democratic success.** With a\npopulation estimated at 15.9 million in 2018, approximately half of the population lives in urban areas.\nSenegal is a stable democracy and has strengthened its democratic structures in recent years (three\npeaceful political transitions and four presidents since its independence in 1960). The country’s political\nsystem was further strengthened by the 2016 constitutional referendum that reduced presidential\nmandates from seven to five years and by the recent peaceful presidential elections (Macky Sall was\nreelected in February 2019).\n\n2. **Although still in its early stages, the COVID-19 pandemic is expected to have substantial**\n**negative impact on the economy.** The effects of a pandemic-driven global economic downturn are\nimpossible to predict. However, China and other highly affected countries are experiencing dramatic\nreductions in economic activity, with a high risk of damage to financial markets. The anticipated slowdown\nin the global economy will likely reduce trade, money transfer from emigrants, local productivity and\ntourism. Senegal will be impacted by the disruption of the global supply of goods. Price deflation on\nagricultural commodity exports may also occur due to low demand in the Eurozone. Tourism and air travel\nwill be disrupted due to restrictions on population’s movements further impacting growth of the services\nsector and potentially leading to higher poverty rates. Senegal received 1.13 million tourists on average\nbetween 2013 and 2017, <sup>1</sup> [^1: UN World Tourism Organization. 2018. Compendium of Tourism Statistics dataset. UNWTO, Madrid.] which may be significantly reduce as airlines are beginning to suspend flights\nto Dakar. Moreover, Senegal remains vulnerable to external shocks as a net importer and its heavy\ndependence on remittance flows and international aid.\n\n\nSectoral and Institutional Context\n\n3\n\nMention: \"Compendium of Tourism Statistics dataset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 1.13 million average annual tourist arrivals for 2013–2017 behind the services-shock argument.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001545:15:2", "occurrence_id": "a05bc67d6ec70c19be73ea99", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  mixed.** In 2015–16, 61.4 percent of mothers had at least\nfour antenatal care visits and 79.7 percent gave birth in a health facility, compared to national figures of 51.2\nand 78.9 percent, respectively. Full immunization coverage in Mizoram was 50.7 percent, compared to 62.0\npercent nationally. While maternal health care coverage in rural areas of Mizoram was lower than in urban\nareas, child immunization coverage levels were similar. In rural areas, 61.4 percent of births were in health\n\n\n3 Anamika Pandey George B Ploubidis, Lynda Clarke & Lalit Dandona. Trends in catastrophic health expenditure in India: 1993 to\n2014. Bull World Health Organ 2018;96:18–28 | doi: http://dx.doi.org/10.2471/BLT.17.191759\n4 https://planning.mizoram.gov.in/uploads/attachments/e69d83919b9a45a04e7252f58f106bf6/mizoram-vision-2030.pdf.\n5 Census 2011.\n6 Economic Survey of Mizoram 2019–20, Government of Mizoram.\n7 Singh, A. K. 2017. “Urbanization in Mizoram: Characteristics and Correlates.” _The Geographer_ 64 (1): 21–31.\n8 International Institute for Population Sciences (IIPS) and ICF. 2017. _National Family Health Survey (NFHS-4), 2015_     - _16: India._\n9 Indian Council of Medical Research, Public Health Foundation of India, and Institute for Health Metrics and Evaluation. 2017.\n_India: Health of the Nation's States – The India State-Level Disease Burden Initiative._ Mizoram: Disease Burden Profile, 1990 to\n2016.\n10 Three-year report of population-based cancer registry 2012–14, Indian\n\nMention: \"Census 2011\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census cited among the demographic sources behind the state's population and coverage figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001545:15:2", "occurrence_id": "4bdd279301e64db561dd8b6d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  mixed.** In 2015–16, 61.4 percent of mothers had at least\nfour antenatal care visits and 79.7 percent gave birth in a health facility, compared to national figures of 51.2\nand 78.9 percent, respectively. Full immunization coverage in Mizoram was 50.7 percent, compared to 62.0\npercent nationally. While maternal health care coverage in rural areas of Mizoram was lower than in urban\nareas, child immunization coverage levels were similar. In rural areas, 61.4 percent of births were in health\n\n\n3 Anamika Pandey George B Ploubidis, Lynda Clarke & Lalit Dandona. Trends in catastrophic health expenditure in India: 1993 to\n2014. Bull World Health Organ 2018;96:18–28 | doi: http://dx.doi.org/10.2471/BLT.17.191759\n4 https://planning.mizoram.gov.in/uploads/attachments/e69d83919b9a45a04e7252f58f106bf6/mizoram-vision-2030.pdf.\n5 Census 2011.\n6 Economic Survey of Mizoram 2019–20, Government of Mizoram.\n7 Singh, A. K. 2017. “Urbanization in Mizoram: Characteristics and Correlates.” _The Geographer_ 64 (1): 21–31.\n8 International Institute for Population Sciences (IIPS) and ICF. 2017. _National Family Health Survey (NFHS-4), 2015_     - _16: India._\n9 Indian Council of Medical Research, Public Health Foundation of India, and Institute for Health Metrics and Evaluation. 2017.\n_India: Health of the Nation's States – The India State-Level Disease Burden Initiative._ Mizoram: Disease Burden Profile, 1990 to\n2016.\n10 Three-year report of population-based cancer registry 2012–14, Indian\n\nMention: \"Economic Survey of Mizoram\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"State economic survey cited among the sources for Mizoram's fiscal and development context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001540:4:2", "occurrence_id": "656bf63b1140446d756a4f22", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of implementing the Plan. However, a financing gap of approximately US $72\nmillion has been identified to cover shortages in equipment and supplies necessary for testing, intensive care\nand infection prevention and control.\n\n\n8. In this context, the GoT requested urgent assistance from the Bank to immediately help fill the gaps in laboratory\nequipment and supplies, personal protective equipment (PPE), and infection control products. The total amount\nidentified to cover equipment and supplies exceeds the Bank support and the gap is expected to be covered by other\ndonors. This is part of joint initiative by DPs to support COVID19 response in Tunisia. For example, United Nations\nChildren’s Fund (UNICEF) in addition to providing COVID-19 PPE, is fully committed to support the communication\n\n\n10 _Programme d’aide aux zones défavorisées_        - EU 2017 and Tunisian Health Examination Survey, THES-2016\n11 Public Expenditure Review 2019\n\n\nApr 02, 2020 Page 5 of 11\n\nMention: \"Tunisian Health Examination Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Examination survey cited in the financing footnote alongside programme data for the response plan.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001484:17:1", "occurrence_id": "7332a846ebe5ce6e7d54f81f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  groups. For example, in 2012, the\npercentage of the population that sought care and was attended by a physician was 94 percent in San Pedro Sula,\nbut only 45 percent in Gracias a Dios. <sup>17</sup> [^17: Demographic and Health Surveys, DHS, 2012.] There are still barriers in access to health services for specific population\ngroups such as those with low education, low income, indigenous and Afro-descendants, and the elderly. Women\naged 15 to 19 in the lower income and lower education group, often report being unable to access services when\nneeded. The under-5-year mortality rate is higher among Afro-descendants, with a reported rate of 70 deaths per\n1,000 live births compared to 17 per 1,000 live births across Honduras. <sup>18</sup> [^18: _Condiciones Socioeconomicas del Pueblo Afro Hondureño, Organización de Desarrollo Étnico Comunitario_, 2019.]\n\n15. **There are persistent weaknesses in Honduras’s ability to respond to health-related emergencies.** With an\nassessed capacity of 34 percent, Honduras has one of the lowest capacities in the world to detect, assess, notify and\nrespond to public health risks and emergencies, and is well below both global and regional average capacity (61 and\n65 percent, respectively). <sup>19</sup> [^19: International Health Regulations State Party Self-Assessment Annual Report, Honduras. WHO 2017.\nhttps://extranet.who.int/sph/country/262.] In particular, the assessment highlights a relatively good capacity for multisectoral\ncoordination, including zoonotic events and the human–animal Interface but a weak legislation and financing for\nhealth emergency preparedness and relatively poor emergency risk communication as well as capacity at points of\nentry (airports, ports and ground crossing). These systemic organization and operational weaknesses are particularly\nacute at the sub-national level and hinder the early detection of outbreaks which hampers a timely response,\nultimately increasing the probability of an outbreak escalating\n\nMention: \"Demographic and Health Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 2012 physician-attendance rates showing the San Pedro Sula versus Gracias a Dios gap.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001545:19:2", "occurrence_id": "fc119f05012ff03532cfd53a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , the state has formed a task force, developed a contact tracing system, established\nquarantine facilities, and supplemented health services with medical equipment and human resources.,\nthere still remains gaps due to inherent systemic gaps affecting the service delivery.\n\n\n18. **World Bank assistance is being sought to support the state address some of the key challenges outlined**\n**above and strengthen its public health system to deliver effective results.** Such systemic gaps, despite being\namong the highest per capita government expenditure on health in the country, clearly point to inefficiencies\nin the health system that are constricting health outcomes. Thus, the current operation will focus on specific\nchallenges and investments will be made to strengthen the management capacity and governance at all\nlevels. The program will prioritize strengthening design and coverage of the health insurance program; and\n\n\n21 Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey, 2016.\n22 National Family Health Survey 2015–2016.\n23 https://www.covid19india.org.\n\n\nPage 14 of 80\n\nMention: \"India Human Development Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey evidence on gender differences in health-care expenditure cited in the financing discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001545:19:2", "occurrence_id": "d4f60dea1616e81814f5d06d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , the state has formed a task force, developed a contact tracing system, established\nquarantine facilities, and supplemented health services with medical equipment and human resources.,\nthere still remains gaps due to inherent systemic gaps affecting the service delivery.\n\n\n18. **World Bank assistance is being sought to support the state address some of the key challenges outlined**\n**above and strengthen its public health system to deliver effective results.** Such systemic gaps, despite being\namong the highest per capita government expenditure on health in the country, clearly point to inefficiencies\nin the health system that are constricting health outcomes. Thus, the current operation will focus on specific\nchallenges and investments will be made to strengthen the management capacity and governance at all\nlevels. The program will prioritize strengthening design and coverage of the health insurance program; and\n\n\n21 Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey, 2016.\n22 National Family Health Survey 2015–2016.\n23 https://www.covid19india.org.\n\n\nPage 14 of 80\n\nMention: \"National Family Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"NFHS 2015–2016 cited as a source for household health and service-utilisation indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001545:59:0", "occurrence_id": "8794e2a53836a2ea646fc912", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMizoram Health Systems Strengthening Project (P173958)\n\n\n**ANNEX 1: Adjustments to the Country Program in Response to COVID-19**\n\n\n1. **In India, the pandemic and the national lockdown between March-May 2020 affected economic activity,**\n**with real GDP contracting by nearly 24 percent in Q1 FY21 (April-June 2020).** Until mid-March 2020, India\nwas impacted indirectly via trade channels, as key imported inputs to domestic production were impeded,\nsupply chains were disrupted, and global trade slowed. As of March 25, the GoI implemented a country-wide\n‘lockdown’ to contain domestic contagion, and several states imposed additional curfew measures. As a result,\neconomic activity, particularly industry and services, slowed sharply.\n\n\n2. **According to the World Bank’s latest forecast, economic growth is expected to decline to -9.6 percent in**\n**FY21 and recover gradually thereafter. The financing needs of the GoI are expected to rise significantly.** The\nsharp economic slowdown has affected revenues disproportionately (at central and state levels), with central\ngovernment revenues declining by over 40 percent in the April-July period and states facing a shortfall of a\nsimilar magnitude. At the same time, expenditure needs have risen. As a result, the general government deficit\nis expected to rise above 12 percent in FY21 and Public and Publicly Guaranteed debt to reach above 90\npercent. The bulk of the required financing is expected to be sourced from domestic markets which for the\nmoment have sufficient liquidity, with only a minor contribution from international borrowing.\n\n\n3. The COVID-19 pandemic has exacerbated the vulnerabilities for traditionally excluded groups, such as youth\nand women. In addition, interstate migrants are at risk of increased poverty and destitution. Estimates from\nthe Economic Survey highlight that the magnitude of inter-state labor migration in India\n\nMention: \"Economic Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimates of inter-state labour migration magnitude used to flag migrant vulnerability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001586:5:0", "occurrence_id": "2effdec6994bd1c168c036bb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUlaanbaatar Sustainable Urban Transport Project (P174007)\n\n\ncompanies (30% of the total fleet) and 16 other private bus operators (70% of the total fleet) <sup>11</sup> [^11: <u>[https://transport.ub.gov.mn/en/?page_id=937](https://transport.ub.gov.mn/en/?page_id=937)</u>] (Transport Department\nof Capital City, 2019). The bus system serves 840,000 passengers per day, approximately 68 passengers per hour per\nbus (World Bank, 2018b), with an average bus speed of 23.1 km per hour (Transport Department of the Capital City,\n2019) <sup>12</sup> [^12: The average speed is calculated based on speed of all buses in operation, during the month of June 2019.] . While requiring high subsidies from city budget, the public transport sector of Ulaanbaatar is struggling to\nprovide adequate services. Subsidies for bus operation represented 15% of the total MUB budget in 2020, covering\n57% of the total operation costs while the farebox revenue recovers the rest 43%. <sup>13</sup> [^13: Farebox recovery ratio is estimated as 43% for the first 7 months of 2019 (Transport Department of the Capital City, 2019), but only is only\naround 30% for the surveyed bus operators in the TA study conducted by the Bank team in 2017.] The burden of subsidies is\nsometimes much higher as the city is taking the revenue risk. On one hand, citizens are not satisfied with the route\ncoverage, frequency, reliability, or comfort; on the other hand, the PT sector is underfunded with bus operators\nrunning an aging fleet with little profit for making improvement. This unsustainable financial situation stems from\ninefficient route design and service plan, low fleet productivity\n\nMention: \"speed of all buses in operation\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"June 2019 fleet speed records averaged to produce the 23.1 km/h bus speed figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001586:5:0", "occurrence_id": "48f73ad93d831f22461ceff1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUlaanbaatar Sustainable Urban Transport Project (P174007)\n\n\ncompanies (30% of the total fleet) and 16 other private bus operators (70% of the total fleet) <sup>11</sup> [^11: <u>[https://transport.ub.gov.mn/en/?page_id=937](https://transport.ub.gov.mn/en/?page_id=937)</u>] (Transport Department\nof Capital City, 2019). The bus system serves 840,000 passengers per day, approximately 68 passengers per hour per\nbus (World Bank, 2018b), with an average bus speed of 23.1 km per hour (Transport Department of the Capital City,\n2019) <sup>12</sup> [^12: The average speed is calculated based on speed of all buses in operation, during the month of June 2019.] . While requiring high subsidies from city budget, the public transport sector of Ulaanbaatar is struggling to\nprovide adequate services. Subsidies for bus operation represented 15% of the total MUB budget in 2020, covering\n57% of the total operation costs while the farebox revenue recovers the rest 43%. <sup>13</sup> [^13: Farebox recovery ratio is estimated as 43% for the first 7 months of 2019 (Transport Department of the Capital City, 2019), but only is only\naround 30% for the surveyed bus operators in the TA study conducted by the Bank team in 2017.] The burden of subsidies is\nsometimes much higher as the city is taking the revenue risk. On one hand, citizens are not satisfied with the route\ncoverage, frequency, reliability, or comfort; on the other hand, the PT sector is underfunded with bus operators\nrunning an aging fleet with little profit for making improvement. This unsustainable financial situation stems from\ninefficient route design and service plan, low fleet productivity\n\nMention: \"TA study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Bank technical-assistance study whose surveyed operators yield a lower 30 percent farebox recovery estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001608:18:0", "occurrence_id": "46d34cb40d139dd0692603d8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nShock Responsive Safety Net for Locust Response Project (P174065)\n\n\n18. **The broad impact of the desert locust infestation across different livelihood zones will likely involve**\n**reduced access to food, loss of income, resource-based conflict, increased debt levels, and limited migration**\n**options.** For agropastoral households, this will adversely affect cropping activities, resulting in depleted harvest,\ndeclined food reserves, and minimized access to income from agricultural produce. The total annual cereal output\nis expected to decline by 10-15 percent, the approximate equivalent of food requirements for almost half a million\npeople over six months. Pastoral households will also face losses due to rapid depletion of rangeland resources and\npasture availability, impacting quality, yield, and access to livestock products. It will thus be critical to deliver\nimmediate relief to those acutely affected by the locust outbreak, while enabling households to mitigate and\nwithstand the impact on income and food security throughout its duration.\n\n\n19. **To make matters worse, the locust crisis is unfolding against worsening socio-economic impacts in the**\n**country due to the COVID-19 pandemic.** As Somalia relies on food imports to feed its population, the lock down of\nkey supply markets, closure of borders and restrictions on domestic movements are already affecting basic\ncommodity prices, and export restrictions in source markets, such as Oman and India, are having a ripple effect in\nmarkets in Somalia. COVID-19 related panic buying, coupled with the Ramadan season, have led to increases in\nretail and wholesale prices of imported food items in markets. The March 2020 Consumer Price Index published by\nthe Federal Directorate of National Statistics indicates an increase of up to 2.12 percent. Moreover, reports\nindicate that remittances, received by an estimated 40 percent of Somali households, may have dropped by as\nmuch as 50 percent. With the FGS projecting\n\nMention: \"March 2020 Consumer Price Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"CPI showing increases up to 2.12 percent, evidencing locust- and pandemic-driven food price inflation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001580:10:0", "occurrence_id": "f4a30e1c920ebdbd801c01c7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSustainable Rural Economy Program (P174002)\n\n\nthe Sofala Bank, the most productive area for marine fisheries in Mozambique. According to the 2012 census, these three\nprovinces comprised about 173 thousand fishers (out of which about 100 thousand working in vessels, and 73,000 without\nvessels), distributed across 513 fishing centers <sup>12</sup> . However, these numbers are\nconsidered significantly underestimated <sup>13</sup> . Interventions will privilege increasing aquaculture\nproduction, enhancing output value of marine fisheries without promoting increased fishing effort, and strengthening\nfisheries monitoring, control and surveillance. During preparation the team will further engage with the Government\nin strengthening approaches targeting these sub-sectors included in the PODERS.\n\n\n26. **SREP is expected to contribute significantly to COVID-19 recovery.** The rural economy is already suffering\nsignificant economic impacts from the COVID-19 pandemic. For instance, there has been a major drop in tourism revenue,\nforcing tourism operators around CAs to lay-off workers <sup>14</sup>, while disruption in global supply chains, weaker demand and\nplummeting of international prices of cash crops have meant significant reduction in expected income to\nsmallholders. The World Bank has supported the GoM with the development of emergency response mechanisms and\ninvestments, chiefly through matching grant windows enabling rural MSMEs to have the cashflow to sustain jobs\nand demand. While the pandemic is expected to transition from emergency response to recovery and\nresilience by SREP’s approval, such mechanisms are expected to continue play an important role, while adjustments will\nbe made <sup>15</sup> and complementary mechanisms will be implemented <sup>16</sup> .\n\n\n27. Subsequent paragraphs discuss the SREP and its relation to the POERS across the following 3 results areas: (i)\nPromote sustainable productivity of the agrarian\n\nMention: \"2012 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Fishery census counting about 173 thousand fishers across 513 fishing centres in three provinces.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001589:5:2", "occurrence_id": "5f5d1562dfdafe309b495b01", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to meet the growing demand for ECE services especially in rural areas. The\nmajority of qualified ECE teachers tend to be clustered in urban areas with untrained volunteer\ncaregivers comprising a large proportion of the workforce in rural areas. Most rural centres are managed\n\n\n14 Similar patterns were found in the UNESCO study conducted in Burkina Faso, Uganda and Ethiopia.\n15 Musonda B., & Kaba, A (2011). The SACMEQ III profile in Zambia: A study of the conditions of schooling and the quality of\neducation Report.\n16 Fink, G., Matafwali, B., Moucheraud, C., & Zuilkowski, S. S. (2012). The Zambian Early Childhood Development Project: 2010\nAssessment Final Report. Cambridge, MA: Harvard University.\n17 Ministry of General Education (2018). Status of Early Childhood Education in Zambia.\n\n\nJun 02, 2020 Page 6 of 15\n\nMention: \"UNESCO study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Comparative study showing the same rural ECE staffing pattern in Burkina Faso, Uganda and Ethiopia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001595:2:1", "occurrence_id": "6e4b28e62daa42757aa66f34", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nfrom agriculture into the urban service sector yielding a boost to productivity. However, the progress in terms of\npoverty reduction has been uneven since 2009—effectively plateauing and even reversing among urban\nhouseholds. Despite a poverty rate of 15.3 percent in 2019, a large proportion of the population is clustered just\nabove the poverty line, with a high risk of falling into poverty due to shocks and insufficient safety nets.\n\n\n**2.** **Although the scope and duration of the COVID-19 pandemic are difficult to model, the economic**\n**impact—on a small open economy reliant on services, remittances and natural resources—is expected to be**\n**significant.** The necessary measures to mitigate the spread of the pandemic, including the closure of borders for\nnonresident entry and the suspension of non-essential businesses, have disrupted labor markets, international\nvalue chains, and the trade of intermediate inputs to production. <sup>3</sup> At the same time, the sharp contraction in\n\n\n1 In 1995, the GDP amounted to about half of its pre-independence level.\n2 Kyrgyz Business Enterprise Survey, 2019 and World Economic Forum’s Global Competitiveness Index.\n3 A nationwide state of emergency was announced on March 22, 2020. It was followed, two days later, by additional measures in the three largest cities \n\nJun 03, 2020 Page 3 of 9\n\nMention: \"Kyrgyz Business Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Enterprise survey cited on firm-level effects of disrupted labour markets and value chains.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001589:3:1", "occurrence_id": "3ef2c2c60a0a994d973ac768", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  practices.</mark>\n\n**6.** **<mark>Considerable progress in improving access to education has been recorded however, learning levels are</mark>**\n**<mark>alarmingly low and challenges in gender parity at the secondary level remain.</mark>** <mark>The country achieved nearly</mark>\n<mark>universal primary education in 2015 and gender parity in primary education. According to latest statistics</mark> <sup>5</sup> <mark>, the</mark>\n<mark>gross enrolment rate is over 100 percent and gender parity in primary education is 1.02. However, the ratio of girls</mark>\n<mark>to boys is 85 percent at the secondary level, with 36 percent of girls in the 14–18 age-group estimated to be out of</mark>\n<mark>school, compared to only 19 percent of boys. In terms of learning performance, Zambia’s recent participation in</mark>\n<mark>the PISA-D international assessment revealed low achievements of 15 years old children with only 5 percent of test</mark>\n<mark>takers achieving minimum reading proficiency</mark> <sup>6</sup> <mark>. Similarly, the SACMEQ report (2011) indicates that learning</mark>\n<mark>achievement levels at Grade 6 especially in reading and mathematics are below the minimum expected grade level</mark>\n<mark>standard</mark> <sup>7</sup> <mark>. Results from the most recent SACMEQ III show lower achievement for girls than boys with girls scores</mark>\n<mark>5.6 points lower in reading and 11.5 points lower in math</mark> <sup>8</sup> <\n\nMention: \"PISA-D international assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Revealed only 5 percent of 15-year-old test-takers reaching minimum reading proficiency.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001589:3:1", "occurrence_id": "579c8e5bfb03311fb2a8f06a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  practices.</mark>\n\n**6.** **<mark>Considerable progress in improving access to education has been recorded however, learning levels are</mark>**\n**<mark>alarmingly low and challenges in gender parity at the secondary level remain.</mark>** <mark>The country achieved nearly</mark>\n<mark>universal primary education in 2015 and gender parity in primary education. According to latest statistics</mark> <sup>5</sup> <mark>, the</mark>\n<mark>gross enrolment rate is over 100 percent and gender parity in primary education is 1.02. However, the ratio of girls</mark>\n<mark>to boys is 85 percent at the secondary level, with 36 percent of girls in the 14–18 age-group estimated to be out of</mark>\n<mark>school, compared to only 19 percent of boys. In terms of learning performance, Zambia’s recent participation in</mark>\n<mark>the PISA-D international assessment revealed low achievements of 15 years old children with only 5 percent of test</mark>\n<mark>takers achieving minimum reading proficiency</mark> <sup>6</sup> <mark>. Similarly, the SACMEQ report (2011) indicates that learning</mark>\n<mark>achievement levels at Grade 6 especially in reading and mathematics are below the minimum expected grade level</mark>\n<mark>standard</mark> <sup>7</sup> <mark>. Results from the most recent SACMEQ III show lower achievement for girls than boys with girls scores</mark>\n<mark>5.6 points lower in reading and 11.5 points lower in math</mark> <sup>8</sup> <\n\nMention: \"SACMEQ report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports Grade 6 reading and mathematics achievement below the minimum expected level.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001589:3:1", "occurrence_id": "b1d2283488d0e1ef58ea9dd7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  practices.</mark>\n\n**6.** **<mark>Considerable progress in improving access to education has been recorded however, learning levels are</mark>**\n**<mark>alarmingly low and challenges in gender parity at the secondary level remain.</mark>** <mark>The country achieved nearly</mark>\n<mark>universal primary education in 2015 and gender parity in primary education. According to latest statistics</mark> <sup>5</sup> <mark>, the</mark>\n<mark>gross enrolment rate is over 100 percent and gender parity in primary education is 1.02. However, the ratio of girls</mark>\n<mark>to boys is 85 percent at the secondary level, with 36 percent of girls in the 14–18 age-group estimated to be out of</mark>\n<mark>school, compared to only 19 percent of boys. In terms of learning performance, Zambia’s recent participation in</mark>\n<mark>the PISA-D international assessment revealed low achievements of 15 years old children with only 5 percent of test</mark>\n<mark>takers achieving minimum reading proficiency</mark> <sup>6</sup> <mark>. Similarly, the SACMEQ report (2011) indicates that learning</mark>\n<mark>achievement levels at Grade 6 especially in reading and mathematics are below the minimum expected grade level</mark>\n<mark>standard</mark> <sup>7</sup> <mark>. Results from the most recent SACMEQ III show lower achievement for girls than boys with girls scores</mark>\n<mark>5.6 points lower in reading and 11.5 points lower in math</mark> <sup>8</sup> <\n\nMention: \"SACMEQ III\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows girls scoring 5.6 points below boys in reading and 11.5 points lower in mathematics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001608:26:0", "occurrence_id": "00826b6b03b91778c9bef42e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nShock Responsive Safety Net for Locust Response Project (P174065)\n\n\n53. **The project will enhance capacity at the FGS level to manage and implement a Government-led emergency**\n**response.** Building human capital is a pathway to resilience and longer-term development outcomes. At the FGS\nlevel, the capacity of the PIU will be enhanced to respond to shocks which can diminish human capital\naccumulation. At the community and household levels, resilience involves investing in communities’ and\nhouseholds’ ability to cope with shocks, crises and food insecurity. It also includes investing in their human capital\n(health and education) and productive livelihoods, as well as in efforts aimed at supporting households to avoid\nnegative coping mechanisms, such as selling of household assets, in times of shocks. Although strengthening shock\nresilience at all levels will be gradual and is expected to evolve as the Government’s capacity expands, this project\nis an important step forward.\n\n\n54. **The beneficiary data will be captured in the USR, currently under early phase of development, and will**\n**provide cost efficiencies and improve transparency of SP programs.** The USR is expected to reduce transaction\ncosts and wait times for beneficiaries and reduce duplication across programs. It will also generate more usable\ninformation for policy makers, who currently have little more than aggregate statistics and periodic household\nsample surveys with which to evaluate program performance and impact. Additionally, the USR is expected to\nimprove the coordination and targeting effectiveness of the humanitarian interventions during shocks.\n\n\n55. **Building institutional capacity for shock responsiveness will encourage increased use by partners of**\n**Government-led systems for responding to emergencies.** Building institutional ownership and capacity to respond\nto shocks in Somalia will encourage development partners, including humanitarian agencies, to coordinate and\ncontribute financing to shock responsive programs through Government-led delivery systems, instead of\nimplementing separate projects outside national systems\n\nMention: \"aggregate statistics\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"The limited data policymakers currently hold for evaluating programme performance and impact.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001608:26:0", "occurrence_id": "0b37c53ac43c12106f9b9e60", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nShock Responsive Safety Net for Locust Response Project (P174065)\n\n\n53. **The project will enhance capacity at the FGS level to manage and implement a Government-led emergency**\n**response.** Building human capital is a pathway to resilience and longer-term development outcomes. At the FGS\nlevel, the capacity of the PIU will be enhanced to respond to shocks which can diminish human capital\naccumulation. At the community and household levels, resilience involves investing in communities’ and\nhouseholds’ ability to cope with shocks, crises and food insecurity. It also includes investing in their human capital\n(health and education) and productive livelihoods, as well as in efforts aimed at supporting households to avoid\nnegative coping mechanisms, such as selling of household assets, in times of shocks. Although strengthening shock\nresilience at all levels will be gradual and is expected to evolve as the Government’s capacity expands, this project\nis an important step forward.\n\n\n54. **The beneficiary data will be captured in the USR, currently under early phase of development, and will**\n**provide cost efficiencies and improve transparency of SP programs.** The USR is expected to reduce transaction\ncosts and wait times for beneficiaries and reduce duplication across programs. It will also generate more usable\ninformation for policy makers, who currently have little more than aggregate statistics and periodic household\nsample surveys with which to evaluate program performance and impact. Additionally, the USR is expected to\nimprove the coordination and targeting effectiveness of the humanitarian interventions during shocks.\n\n\n55. **Building institutional capacity for shock responsiveness will encourage increased use by partners of**\n**Government-led systems for responding to emergencies.** Building institutional ownership and capacity to respond\nto shocks in Somalia will encourage development partners, including humanitarian agencies, to coordinate and\ncontribute financing to shock responsive programs through Government-led delivery systems, instead of\nimplementing separate projects outside national systems\n\nMention: \"periodic household\nsample surveys\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Existing sample surveys against which the registry's policy usability is contrasted.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001619:4:1", "occurrence_id": "864113cbcaed672ff1fd6791", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  <sup>7</sup> [^7: Informal employment is defined as jobs without legal and social protection, whether carried out in formal sector enterprises, informal\nsector enterprises, or households, during a given reference period.] are more likely to lose\ntheir jobs as a result of the lockdown measures and have no form of protection against it; these informal workers\nare disproportionally concentrated in poor and near poor households. The latest estimates show that 29 percent\nof Palestinians live below the poverty line and 39 percent are food insecure, half of whom are severely food\ninsecure (PCBS, 2020). Poverty is highly sensitive to the labor market in the Palestinian territories (World Bank\n2017), <sup>8</sup> [^8: “West Bank Inclusive Diagnostic Note.” Washington, DC: World Bank.] thus, in the absence of any support, the labor income shock would push many near poor households into\npoverty and poor families pushed further below the poverty line. The PA estimates that around 100,000\nPalestinians have already fallen into poverty as a result of the containment measures with more to follow and\nmore than 120,000 Palestinian workers and small business owners (95 percent from the West Bank) have already\nrequested urgent assistance from the MoL, which is looking for ways to address such losses and speed up\nrecovery after the pandemic.\n\n9. **Although vulnerability in Gaza is higher, households in the West Bank are more likely to be affected by**\n**reduced labor incomes** . Unemployment affects more than half of Gazans in the labor force, more than three\ntimes the rate in the West Bank, and more than half of the Gazan population lives below the poverty line,\ncompared to 14 percent in the West Bank; however, people in the West Bank are more likely to be affected by\nthe labor income shock produced by the pandemic. First, travel restrictions in the former made contagion from\nthe latter and Israel, more difficult.\n\nMention: \"PCBS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the 29 percent poverty and 39 percent food-insecurity estimates for Palestinians.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001608:57:1", "occurrence_id": "760860dfa55a2eef7259e48f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  calibrate the\nmessages to the audience: for instance, in areas where the Baxnaano program is operational, the communities are\nsensitized to its procedures. However, Baxnaano is known these districts as a source of long-term predictable\nassistance, and not as a crisis response program. In areas where Baxnaano is not operational, the communication will\nhave to be sensitized very intensively in order to raise awareness at the district and community level of the Baxnaano\nbusiness processes, including targeting procedures and grievance management practices.\n\n22. **In all cases, however, it will be crucial for the communication strategy to manage expectations about the**\n**duration and the benefit level linked to the locust crisis response.** Messaging will emphasize the difference between\nthe longer-term assistance to chronic poor and the shock-responsive assistance, which is necessarily short-term as it is\nphased in to build resilience in specific emergency conditions and is phased out when the shocks subside.\n\n23. **WFP and MoLSA will jointly define the messages to be communicated to all stakeholders.** These will be\nprimarily communicated through interpersonal communication. Communication with beneficiaries and communities\nwill use printed and social media as well as SMS messages, including alerts about payments and reminders about\nCOVID-19 appropriate practices.\n\n24. **Exit strategy.** The ECT support under the SNLRP will end in January 2021, as the locust infestation is expected to\nsubside by this point. For some households, the SNLRP assistance will be sufficient to cope with the locust-induced\nshock. Yet others may require additional assistance. Some of these households may be further supported by\nhumanitarian agencies and the registration of these households in the SCOPE database will facilitate targeting these\nhouseholds by humanitarian interventions. In addition, at the post-emergency stage, SNLRP beneficiaries may become\neligible to participate in the SCRP-implemented livelihood restoration project.\n\n25. **Baxnaano\n\nMention: \"SCOPE database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Humanitarian registration database whose records enable targeting of households needing further assistance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:24:1", "occurrence_id": "8f9fecad2dc43d7ad653bbf1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  providing support to workers in need, (iv) increasing women’s access to job opportunities, and (v)\nfostering skills development in ICT to support youth and women for trade in services.\n\n49. The project will support the digitization of delivery. This will make the Palestinian social protection policies and\nprograms more dynamic and inclusive, as well as more shock-responsive. Digitalization has been shown to increase the\nsecurity and reduce the costs of transfers while also reducing the need for person-to-person contact. The digital\nintegration of the new applications into the CTP registry to build a shock-responsiveness roster around a Social Registry\nfor the medium- and long-term will be particularly important in this regard.\n\n50. This component will also include technical assistance for the outreach campaign (communications) to ensure that\nbeneficiaries understand the temporary nature of this project. This is important to avoid raising expectations that this is\na permanent project to increase benefit levels from the current cash transfer program, as well as preparation and\ndissemination of GBV tailored messages. The World Bank will work with the relevant PA ministries to provide a clear\nexplanation of the timeline of the emergency assistance, while encouraging further policy and reform efforts to improve\nlong-term job opportunities in the aftermath of the emergency.\n\n51. Furthermore, this component will support a high-frequency crisis monitoring survey. Specifically, a high frequency\nphone survey will be rolled out to monitor the socioeconomic impacts of COVID-19 and the mitigating effects of project\ninterventions on beneficiary households. Data will be collected from beneficiary and non-beneficiary households to\nfacilitate a disaggregated analysis by type of households, including with regard to gender of the household head.\n\n\n52. All fiduciary and procurement aspects under this component will be handled by the PCU at the Ministry of Finance\n(MoF).\n\n\nP a g e | **20**\n\nMention: \"CTP registry\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Cash-transfer registry to be digitalised and extended into a shock-responsiveness roster.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:24:1", "occurrence_id": "6eda01ccf1dbeae796fe01b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  providing support to workers in need, (iv) increasing women’s access to job opportunities, and (v)\nfostering skills development in ICT to support youth and women for trade in services.\n\n49. The project will support the digitization of delivery. This will make the Palestinian social protection policies and\nprograms more dynamic and inclusive, as well as more shock-responsive. Digitalization has been shown to increase the\nsecurity and reduce the costs of transfers while also reducing the need for person-to-person contact. The digital\nintegration of the new applications into the CTP registry to build a shock-responsiveness roster around a Social Registry\nfor the medium- and long-term will be particularly important in this regard.\n\n50. This component will also include technical assistance for the outreach campaign (communications) to ensure that\nbeneficiaries understand the temporary nature of this project. This is important to avoid raising expectations that this is\na permanent project to increase benefit levels from the current cash transfer program, as well as preparation and\ndissemination of GBV tailored messages. The World Bank will work with the relevant PA ministries to provide a clear\nexplanation of the timeline of the emergency assistance, while encouraging further policy and reform efforts to improve\nlong-term job opportunities in the aftermath of the emergency.\n\n51. Furthermore, this component will support a high-frequency crisis monitoring survey. Specifically, a high frequency\nphone survey will be rolled out to monitor the socioeconomic impacts of COVID-19 and the mitigating effects of project\ninterventions on beneficiary households. Data will be collected from beneficiary and non-beneficiary households to\nfacilitate a disaggregated analysis by type of households, including with regard to gender of the household head.\n\n\n52. All fiduciary and procurement aspects under this component will be handled by the PCU at the Ministry of Finance\n(MoF).\n\n\nP a g e | **20**\n\nMention: \"high frequency\nphone survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Phone survey tracking COVID-19 impacts and project effects on beneficiary and non-beneficiary households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:63:0", "occurrence_id": "4527bce5d3720faad0140a62", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **ANNEX 2: Addressing Gender Based Violence in West Bank Emergency Social Protection COVID-19**\n\n\n1. Palestinian women are vulnerable to cycles of conflict and poverty, experiencing high rates of domestic violence during\ntimes of crisis that add pressure to existing services that address the problem of gender-based violence. Surveys by the\nPCBS and data from gender-based violence helplines point to high rates of IPV against women: 24 percent of women in\nWest Bank and 38 percent of women in Gaza have been exposed to some form of IPV between 2018-2019. <sup>54</sup> [^54: Palestinian Central Bureau of Statistics (PCBS), Preliminary Results of the Violence Survey in the Palestinian Society 2019. Different forms\nof intimate partner violence surveyed include economic, social, psychological, sexual, and physical. In this case, the intimate partner referred\nto by the survey is ‘husband.’] Of those\nwomen who reported some form of IPV, 60 percent chose to remain silent. <sup>55</sup> [^55: Ibid.] Studies have shown that there is a\ncorrelation between outbreaks in conflict and increased levels of GBV. <sup>56</sup> [^56: UNRWA, 2015; Herbert, 2014.] Such high levels do not necessarily drop after\ncrisis situations end, but either remain the same or continue to increase as a result of the after-effects of war, such as\ndisplacement and economic hardship. <sup>57</sup> [^57: Herbert, 2014.] One non-governmental organization reported that women seeking help and\nreporting cases of violence via their private hotline spiked considerably during the Gaza conflict of 2008-2009 and then\nduring the crisis of 2014, requiring additional capacity to provide 24-hour support. <sup>58</sup> [^58: World Bank Mission Findings, March 12-16, 2017.]\n\n2. High rates of domestic violence are increasing during the COVID-19 pandemic, threatening the ability of already\nresource-constrained NGOs to deliver services to survivorss\n\nMention: \"Surveys by the\nPCBS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Surveys evidencing high intimate-partner-violence rates against women in the West Bank and Gaza.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:63:0", "occurrence_id": "bf9fb1451d2721e8041cec84", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **ANNEX 2: Addressing Gender Based Violence in West Bank Emergency Social Protection COVID-19**\n\n\n1. Palestinian women are vulnerable to cycles of conflict and poverty, experiencing high rates of domestic violence during\ntimes of crisis that add pressure to existing services that address the problem of gender-based violence. Surveys by the\nPCBS and data from gender-based violence helplines point to high rates of IPV against women: 24 percent of women in\nWest Bank and 38 percent of women in Gaza have been exposed to some form of IPV between 2018-2019. <sup>54</sup> [^54: Palestinian Central Bureau of Statistics (PCBS), Preliminary Results of the Violence Survey in the Palestinian Society 2019. Different forms\nof intimate partner violence surveyed include economic, social, psychological, sexual, and physical. In this case, the intimate partner referred\nto by the survey is ‘husband.’] Of those\nwomen who reported some form of IPV, 60 percent chose to remain silent. <sup>55</sup> [^55: Ibid.] Studies have shown that there is a\ncorrelation between outbreaks in conflict and increased levels of GBV. <sup>56</sup> [^56: UNRWA, 2015; Herbert, 2014.] Such high levels do not necessarily drop after\ncrisis situations end, but either remain the same or continue to increase as a result of the after-effects of war, such as\ndisplacement and economic hardship. <sup>57</sup> [^57: Herbert, 2014.] One non-governmental organization reported that women seeking help and\nreporting cases of violence via their private hotline spiked considerably during the Gaza conflict of 2008-2009 and then\nduring the crisis of 2014, requiring additional capacity to provide 24-hour support. <sup>58</sup> [^58: World Bank Mission Findings, March 12-16, 2017.]\n\n2. High rates of domestic violence are increasing during the COVID-19 pandemic, threatening the ability of already\nresource-constrained NGOs to deliver services to survivorss\n\nMention: \"data from gender-based violence helplines\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Helpline records used alongside survey data to establish intimate-partner-violence prevalence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:63:0", "occurrence_id": "436e6bdc4fe8088fae8c8af7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **ANNEX 2: Addressing Gender Based Violence in West Bank Emergency Social Protection COVID-19**\n\n\n1. Palestinian women are vulnerable to cycles of conflict and poverty, experiencing high rates of domestic violence during\ntimes of crisis that add pressure to existing services that address the problem of gender-based violence. Surveys by the\nPCBS and data from gender-based violence helplines point to high rates of IPV against women: 24 percent of women in\nWest Bank and 38 percent of women in Gaza have been exposed to some form of IPV between 2018-2019. <sup>54</sup> [^54: Palestinian Central Bureau of Statistics (PCBS), Preliminary Results of the Violence Survey in the Palestinian Society 2019. Different forms\nof intimate partner violence surveyed include economic, social, psychological, sexual, and physical. In this case, the intimate partner referred\nto by the survey is ‘husband.’] Of those\nwomen who reported some form of IPV, 60 percent chose to remain silent. <sup>55</sup> [^55: Ibid.] Studies have shown that there is a\ncorrelation between outbreaks in conflict and increased levels of GBV. <sup>56</sup> [^56: UNRWA, 2015; Herbert, 2014.] Such high levels do not necessarily drop after\ncrisis situations end, but either remain the same or continue to increase as a result of the after-effects of war, such as\ndisplacement and economic hardship. <sup>57</sup> [^57: Herbert, 2014.] One non-governmental organization reported that women seeking help and\nreporting cases of violence via their private hotline spiked considerably during the Gaza conflict of 2008-2009 and then\nduring the crisis of 2014, requiring additional capacity to provide 24-hour support. <sup>58</sup> [^58: World Bank Mission Findings, March 12-16, 2017.]\n\n2. High rates of domestic violence are increasing during the COVID-19 pandemic, threatening the ability of already\nresource-constrained NGOs to deliver services to survivorss\n\nMention: \"Violence Survey in the Palestinian Society 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The specific PCBS violence survey behind the 2018–2019 intimate-partner-violence percentages.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:35:0", "occurrence_id": "090dd27476d3b2798483cdda", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWest Bank Emergency Social Protection COVID-19 Response Project (P174078)\n\n\n88. **Besides the shocks to incomes, poor and near-poor households will also suffer disproportionally from higher**\n**food prices** . The disruption in local, regional, and global food supply chains resulting from COVID-19 will be pushing\ndomestic food prices up. In fact, food prices already increased in March 2020 relative to March 2019 by two percent in\nthe Palestinian territories. Food price inflation is more pronounced in the West Bank than in Gaza. <sup>41</sup> Poor and near-poor\nhouseholds consume more food as a percentage of total expenditures than wealthier households; as shown in Figure 5a,\npoor and near-poor households spend more than 80 percent of their income on food, allowing little flexibility in their\nspending patterns to adjust to higher food costs. Again, the risk seems higher in the West Bank than in Gaza in terms of\nrisks to current consumption patterns: the 2017 Household Expenditure and Consumption Survey shows that spending\non key food staples represents a greater share of the monthly household expenditure in West Bank than in Gazan\nhouseholds. <sup>42</sup> [^42: Those items include bread and cereals, meat and poultry, dairy products and eggs, fruits and nuts, and beverages. Table 2 shows that prices for\nsome of these items have seen strong increases as a result of the lockdown.]\n\n\n**Figure 5a: Share of food expenditure on total household expenditure**\n\n\n\n\n\n\n\n\n\n\n\n_Source: Palestinian Expenditure Consumption Survey (PECS) 2016/17 and_\n_Palestinian Central Bureau of Statistics, 2020. Consumer Price Index Survey, 2020._\n_Ramallah, Palestinian territories_ <sup>_43_</sup> [^43: Notes: Results comparing March and April 2020 are not yet available in the PCBS website.] _._\n\n\n41 Compared to March 2019, the Palestinian CPI has increased by 3.36 percent in Jerusalem J1, by 1.06 percent in the\n\nMention: \"2017 Household Expenditure and Consumption Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows food staples take a larger share of monthly expenditure in the West Bank than in Gaza.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:35:0", "occurrence_id": "d3ab509b87fb15fd7f497e15", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWest Bank Emergency Social Protection COVID-19 Response Project (P174078)\n\n\n88. **Besides the shocks to incomes, poor and near-poor households will also suffer disproportionally from higher**\n**food prices** . The disruption in local, regional, and global food supply chains resulting from COVID-19 will be pushing\ndomestic food prices up. In fact, food prices already increased in March 2020 relative to March 2019 by two percent in\nthe Palestinian territories. Food price inflation is more pronounced in the West Bank than in Gaza. <sup>41</sup> Poor and near-poor\nhouseholds consume more food as a percentage of total expenditures than wealthier households; as shown in Figure 5a,\npoor and near-poor households spend more than 80 percent of their income on food, allowing little flexibility in their\nspending patterns to adjust to higher food costs. Again, the risk seems higher in the West Bank than in Gaza in terms of\nrisks to current consumption patterns: the 2017 Household Expenditure and Consumption Survey shows that spending\non key food staples represents a greater share of the monthly household expenditure in West Bank than in Gazan\nhouseholds. <sup>42</sup> [^42: Those items include bread and cereals, meat and poultry, dairy products and eggs, fruits and nuts, and beverages. Table 2 shows that prices for\nsome of these items have seen strong increases as a result of the lockdown.]\n\n\n**Figure 5a: Share of food expenditure on total household expenditure**\n\n\n\n\n\n\n\n\n\n\n\n_Source: Palestinian Expenditure Consumption Survey (PECS) 2016/17 and_\n_Palestinian Central Bureau of Statistics, 2020. Consumer Price Index Survey, 2020._\n_Ramallah, Palestinian territories_ <sup>_43_</sup> [^43: Notes: Results comparing March and April 2020 are not yet available in the PCBS website.] _._\n\n\n41 Compared to March 2019, the Palestinian CPI has increased by 3.36 percent in Jerusalem J1, by 1.06 percent in the\n\nMention: \"Palestinian Expenditure Consumption Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source line for the figure on food expenditure as a share of total household expenditure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001617:35:0", "occurrence_id": "aea0a2035bbbe2cf28e2d48c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWest Bank Emergency Social Protection COVID-19 Response Project (P174078)\n\n\n88. **Besides the shocks to incomes, poor and near-poor households will also suffer disproportionally from higher**\n**food prices** . The disruption in local, regional, and global food supply chains resulting from COVID-19 will be pushing\ndomestic food prices up. In fact, food prices already increased in March 2020 relative to March 2019 by two percent in\nthe Palestinian territories. Food price inflation is more pronounced in the West Bank than in Gaza. <sup>41</sup> Poor and near-poor\nhouseholds consume more food as a percentage of total expenditures than wealthier households; as shown in Figure 5a,\npoor and near-poor households spend more than 80 percent of their income on food, allowing little flexibility in their\nspending patterns to adjust to higher food costs. Again, the risk seems higher in the West Bank than in Gaza in terms of\nrisks to current consumption patterns: the 2017 Household Expenditure and Consumption Survey shows that spending\non key food staples represents a greater share of the monthly household expenditure in West Bank than in Gazan\nhouseholds. <sup>42</sup> [^42: Those items include bread and cereals, meat and poultry, dairy products and eggs, fruits and nuts, and beverages. Table 2 shows that prices for\nsome of these items have seen strong increases as a result of the lockdown.]\n\n\n**Figure 5a: Share of food expenditure on total household expenditure**\n\n\n\n\n\n\n\n\n\n\n\n_Source: Palestinian Expenditure Consumption Survey (PECS) 2016/17 and_\n_Palestinian Central Bureau of Statistics, 2020. Consumer Price Index Survey, 2020._\n_Ramallah, Palestinian territories_ <sup>_43_</sup> [^43: Notes: Results comparing March and April 2020 are not yet available in the PCBS website.] _._\n\n\n41 Compared to March 2019, the Palestinian CPI has increased by 3.36 percent in Jerusalem J1, by 1.06 percent in the\n\nMention: \"Consumer Price Index Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Price index used with expenditure data to plot food shares and track lockdown price increases.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001621:14:0", "occurrence_id": "1a3d571d14ea3f99fbb93bac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRecovery and Advancement of Informal Sector Employment (P174085)\n\n\nheadcount are the most severe in urbanized districts. Amongst the poor in Dhaka and Chattogram, 28 percent of\nadults are estimated to have become unemployed after the COVID-19 crisis started and average wages for this\nsame group fell by 40 percent, while 93 percent of enterprises owned and operated by the poor reported lower\nrevenues than before COVID-19. <sup>8</sup> [^8: These estimates are for a representative sample of poor (slum and non-slum areas) of Dhaka and Chittagong, with data from the\nPoverty Global Practice’s urban monitoring survey conducted between June 10-19, 2020.] The longer-term impacts will likely be more severe due to the limited coping\nstrategies that households may have. Human capital (especially of children) will suffer if households to respond\nby reducing food consumption or investments in health and education. Additional negative impacts could happen\nas productive savings and assets are depleted, and liquidity constrained microenterprises go out of business.\n\n9. **The COVID-19 outbreak has significantly affected microenterprises across the country** . Early findings\nfrom the World Bank COVID-19 rapid monitoring survey on representative of poor areas in Dhaka and Chattogram\nsuggest that 37 percent of the respondents were unsure whether they would be able to sustain their businesses\nfor more than a month. At the time of the survey, four months since the initial lockdown in March, 33 percent of\nthe respondents engaged in wage employment reported losing their jobs as a direct result of the pandemic,\nmajority of whom are women. Nearly half the small enterprises stopped operating entirely while a quarter\nreported scaling back their operations considerably along with laying off workers. Female informal microentrepreneurs have been hit particularly hard by the COVID shocks. 24 percent of survey female microentrepreneurs, shut down their businesses in June, after trying a range of coping mechanisms since April (e.g.\ncancelling orders). <sup>9</sup>\n\n**B. Sectoral and Institutional Context*\n\nMention: \"urban monitoring survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"June 2020 survey of poor slum and non-slum households behind the revenue-decline estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001621:14:0", "occurrence_id": "e568347521bc6167790ed666", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRecovery and Advancement of Informal Sector Employment (P174085)\n\n\nheadcount are the most severe in urbanized districts. Amongst the poor in Dhaka and Chattogram, 28 percent of\nadults are estimated to have become unemployed after the COVID-19 crisis started and average wages for this\nsame group fell by 40 percent, while 93 percent of enterprises owned and operated by the poor reported lower\nrevenues than before COVID-19. <sup>8</sup> [^8: These estimates are for a representative sample of poor (slum and non-slum areas) of Dhaka and Chittagong, with data from the\nPoverty Global Practice’s urban monitoring survey conducted between June 10-19, 2020.] The longer-term impacts will likely be more severe due to the limited coping\nstrategies that households may have. Human capital (especially of children) will suffer if households to respond\nby reducing food consumption or investments in health and education. Additional negative impacts could happen\nas productive savings and assets are depleted, and liquidity constrained microenterprises go out of business.\n\n9. **The COVID-19 outbreak has significantly affected microenterprises across the country** . Early findings\nfrom the World Bank COVID-19 rapid monitoring survey on representative of poor areas in Dhaka and Chattogram\nsuggest that 37 percent of the respondents were unsure whether they would be able to sustain their businesses\nfor more than a month. At the time of the survey, four months since the initial lockdown in March, 33 percent of\nthe respondents engaged in wage employment reported losing their jobs as a direct result of the pandemic,\nmajority of whom are women. Nearly half the small enterprises stopped operating entirely while a quarter\nreported scaling back their operations considerably along with laying off workers. Female informal microentrepreneurs have been hit particularly hard by the COVID shocks. 24 percent of survey female microentrepreneurs, shut down their businesses in June, after trying a range of coping mechanisms since April (e.g.\ncancelling orders). <sup>9</sup>\n\n**B. Sectoral and Institutional Context*\n\nMention: \"World Bank COVID-19 rapid monitoring survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Rapid survey finding 37 percent of microentrepreneurs unsure they could sustain businesses another month.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:13:2", "occurrence_id": "0e31cba3f52cc46bb1ee1f93", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of\nOOSC in hard-to-reach areas, such as urban slums, hill tracts, sandbars, and wetlands. Around 7 million\n\n\n11 There are 13 types of providers in primary education; 10 examination boards at the secondary level; and about 98 percent of\nsecondary institutions are private, mostly supported through public subsidies.\n12 Annual Primary School Census (APSC) 2019; Bangladesh Bureau of Educational Information and Statistics (BANBEIS) 2019.\n13 Among the primary schools, around 75,345 are government schools which account for nearly 77 percent of total primary\nenrollments (ASPR 2019).\n14APSC 2018 for primary and BANBEIS 2018 for secondary statistics.\n15 APSC 2018.\n\n\nPage 9 of 63\n\nMention: \"Annual Primary School Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"School census supplying provider counts and enrolment figures for primary education.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:13:2", "occurrence_id": "9c3afaedd70d084badd419e2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of\nOOSC in hard-to-reach areas, such as urban slums, hill tracts, sandbars, and wetlands. Around 7 million\n\n\n11 There are 13 types of providers in primary education; 10 examination boards at the secondary level; and about 98 percent of\nsecondary institutions are private, mostly supported through public subsidies.\n12 Annual Primary School Census (APSC) 2019; Bangladesh Bureau of Educational Information and Statistics (BANBEIS) 2019.\n13 Among the primary schools, around 75,345 are government schools which account for nearly 77 percent of total primary\nenrollments (ASPR 2019).\n14APSC 2018 for primary and BANBEIS 2018 for secondary statistics.\n15 APSC 2018.\n\n\nPage 9 of 63\n\nMention: \"APSC 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Prior census round cited for primary statistics alongside BANBEIS secondary data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001619:5:2", "occurrence_id": "83a07da1b0902e11f7e8b4fa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: [https://www.cgdev.org/sites/default/files/pandemics-and-violence-against-women-and-girls.pdf.](https://www.cgdev.org/sites/default/files/pandemics-and-violence-against-women-and-girls.pdf)</u>\n10 Palestinian Central Bureau of Statistics (PCBS), Preliminary Results of the Violence Survey in the Palestinian Society 2019. Different\nforms of intimate partner violence surveyed include economic, social, psychological, sexual and physical. In this case, the intimate partner\nreferred to by the survey is ‘husband.’\n11 Ibid.\n12Juzoor Health and Social Development, Gender-Based Violence During COVID-19 Pandemic in Palestine - May 2020. Note: The rapid\nassessment was carried out by phone and used random sampling to select 800 Palestinians with a response rate of 79 percent.\n\n\nJune 19, 2020 Page 6 of 12\n\nMention: \"Violence Survey in the Palestinian Society 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"PCBS survey whose preliminary results define the intimate-partner-violence forms measured.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001619:5:0", "occurrence_id": "d8e9b0621a1f10f537e32ffc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWest Bank Emergency Social Protection COVID-19 Response Project (P174078)\n\n\n10. **Poor and near poor households will also be disproportionally affected by higher food prices** . Disruptions\nin food supply chains resulting from COVID-19 (e.g. insufficient agricultural workforce, suspension of food\nexports, etc.) have started to push domestic food prices up. The poor and near poor households consume more\nfood as a percentage of total expenditures than wealthier households; as a result, an increase in food prices\npushes near poor households into poverty and poor households further below the poverty line. Higher food\nprices have been particularly felt in the West Bank, in urban areas, and by households affected by reduced\nremittances, both domestic and from abroad.\n\n\n11. **Women are particularly vulnerable to cycles of conflict and poverty, with high rates of domestic**\n**violence that will likely increase during a time of lockdowns and quarantines.** Studies have shown that conflict\nand health crises can lead to increased threats to and intentional use of violence, including violence against\nwomen and children. <sup>9</sup> Surveys by the PCBS and data from gender-based violence helplines point to high rates of\nIntimate Partner Violence (IPV) against women: 24 percent of women in West Bank and 38 percent of women in\nGaza have been exposed to some form of IPV between 2018-2019. <sup>10</sup> Of those women who reported some form\nof IPV, 60 percent chose to remain silent. <sup>11</sup> As other countries report increased levels of domestic violence during\nthe pandemic, the population of the Palestinian territories are experiencing similar trends. A household\nassessment showed that one in four surveyed indicated domestic violence has increased during quarantine and\n71 percent expect it to further increase with the extension of the lockdown.\n\nMention: \"Surveys by the PCBS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Surveys evidencing high intimate-partner-violence rates against women during lockdown.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001619:5:0", "occurrence_id": "aca44da90731bad1fd73f6ee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWest Bank Emergency Social Protection COVID-19 Response Project (P174078)\n\n\n10. **Poor and near poor households will also be disproportionally affected by higher food prices** . Disruptions\nin food supply chains resulting from COVID-19 (e.g. insufficient agricultural workforce, suspension of food\nexports, etc.) have started to push domestic food prices up. The poor and near poor households consume more\nfood as a percentage of total expenditures than wealthier households; as a result, an increase in food prices\npushes near poor households into poverty and poor households further below the poverty line. Higher food\nprices have been particularly felt in the West Bank, in urban areas, and by households affected by reduced\nremittances, both domestic and from abroad.\n\n\n11. **Women are particularly vulnerable to cycles of conflict and poverty, with high rates of domestic**\n**violence that will likely increase during a time of lockdowns and quarantines.** Studies have shown that conflict\nand health crises can lead to increased threats to and intentional use of violence, including violence against\nwomen and children. <sup>9</sup> Surveys by the PCBS and data from gender-based violence helplines point to high rates of\nIntimate Partner Violence (IPV) against women: 24 percent of women in West Bank and 38 percent of women in\nGaza have been exposed to some form of IPV between 2018-2019. <sup>10</sup> Of those women who reported some form\nof IPV, 60 percent chose to remain silent. <sup>11</sup> As other countries report increased levels of domestic violence during\nthe pandemic, the population of the Palestinian territories are experiencing similar trends. A household\nassessment showed that one in four surveyed indicated domestic violence has increased during quarantine and\n71 percent expect it to further increase with the extension of the lockdown.\n\nMention: \"data from gender-based violence helplines\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Helpline records triangulated with survey data to establish intimate-partner-violence prevalence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:57:0", "occurrence_id": "dab90353456e0f6b12a56f06", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBangladesh COVID 19 School Sector Response (GPE) (P174268)\n\n\n**ANNEX 2: How CSSR Integrates GPE’s Learning-from-evidence Approach**\n\n\n**COUNTRY: Bangladesh**\n\n\n**Bangladesh COVID 19 School Sector Response (GPE)**\n\n\n**A.** **CSSR’s Approach to Evidence-Based Operation**\n\n\n1. The project requires a flexible, learning-from-evidence approach, aligned with the GPE objectives\nto (a) learn continually from evidence and apply that learning adaptively to enhance program\neffectiveness and (b) generate knowledge and evidence on the relevance, effectiveness, and efficiency of\ngrants. The project achieves this through three systems: (a) a comprehensive Results Framework which\nuses relevant core GPE indicators to track and monitor progress of project outputs and outcomes; (b)\nassessments and studies integrated within activity designs under Components 1, 2, and 3; and (c)\nevaluations within the M&E plan to assess efficiency and results from the project.\n\n\n2. The project will use a number of national surveys to gather information on the targeted\npopulation and ensure information is collected in a reliable manner. These sources of information include\n(a) national education system data from the MoPME and MoE and (b) district- and country-level\nhousehold data from national surveys, including the MICS and HIES. <sup>35</sup> [^35: Given the COVID-19 situation, there is a risk that these nationally representative surveys may not be conducted during the\nproject period. If so, only earlier rounds of data can be used to understand the situation before the project period.\n_36_ _[https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19](https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19)_ .] The M&E section will develop a set\nof phone and online surveys,\n\nMention: \"national education system data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Ministry education-management data the project will use to gather information on the targeted population.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:57:0", "occurrence_id": "046c9d40d722a0b402f49d05", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBangladesh COVID 19 School Sector Response (GPE) (P174268)\n\n\n**ANNEX 2: How CSSR Integrates GPE’s Learning-from-evidence Approach**\n\n\n**COUNTRY: Bangladesh**\n\n\n**Bangladesh COVID 19 School Sector Response (GPE)**\n\n\n**A.** **CSSR’s Approach to Evidence-Based Operation**\n\n\n1. The project requires a flexible, learning-from-evidence approach, aligned with the GPE objectives\nto (a) learn continually from evidence and apply that learning adaptively to enhance program\neffectiveness and (b) generate knowledge and evidence on the relevance, effectiveness, and efficiency of\ngrants. The project achieves this through three systems: (a) a comprehensive Results Framework which\nuses relevant core GPE indicators to track and monitor progress of project outputs and outcomes; (b)\nassessments and studies integrated within activity designs under Components 1, 2, and 3; and (c)\nevaluations within the M&E plan to assess efficiency and results from the project.\n\n\n2. The project will use a number of national surveys to gather information on the targeted\npopulation and ensure information is collected in a reliable manner. These sources of information include\n(a) national education system data from the MoPME and MoE and (b) district- and country-level\nhousehold data from national surveys, including the MICS and HIES. <sup>35</sup> [^35: Given the COVID-19 situation, there is a risk that these nationally representative surveys may not be conducted during the\nproject period. If so, only earlier rounds of data can be used to understand the situation before the project period.\n_36_ _[https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19](https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19)_ .] The M&E section will develop a set\nof phone and online surveys,\n\nMention: \"district- and country-level\nhousehold data from national surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household survey data at district and national level supporting the project's results information.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:57:0", "occurrence_id": "529863ee31021b0c7c87a295", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBangladesh COVID 19 School Sector Response (GPE) (P174268)\n\n\n**ANNEX 2: How CSSR Integrates GPE’s Learning-from-evidence Approach**\n\n\n**COUNTRY: Bangladesh**\n\n\n**Bangladesh COVID 19 School Sector Response (GPE)**\n\n\n**A.** **CSSR’s Approach to Evidence-Based Operation**\n\n\n1. The project requires a flexible, learning-from-evidence approach, aligned with the GPE objectives\nto (a) learn continually from evidence and apply that learning adaptively to enhance program\neffectiveness and (b) generate knowledge and evidence on the relevance, effectiveness, and efficiency of\ngrants. The project achieves this through three systems: (a) a comprehensive Results Framework which\nuses relevant core GPE indicators to track and monitor progress of project outputs and outcomes; (b)\nassessments and studies integrated within activity designs under Components 1, 2, and 3; and (c)\nevaluations within the M&E plan to assess efficiency and results from the project.\n\n\n2. The project will use a number of national surveys to gather information on the targeted\npopulation and ensure information is collected in a reliable manner. These sources of information include\n(a) national education system data from the MoPME and MoE and (b) district- and country-level\nhousehold data from national surveys, including the MICS and HIES. <sup>35</sup> [^35: Given the COVID-19 situation, there is a risk that these nationally representative surveys may not be conducted during the\nproject period. If so, only earlier rounds of data can be used to understand the situation before the project period.\n_36_ _[https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19](https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19)_ .] The M&E section will develop a set\nof phone and online surveys,\n\nMention: \"MICS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National cluster survey supplying household data, flagged with a risk its round may not occur.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:57:0", "occurrence_id": "6884d1cb8ec0ac6679ac1bd4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBangladesh COVID 19 School Sector Response (GPE) (P174268)\n\n\n**ANNEX 2: How CSSR Integrates GPE’s Learning-from-evidence Approach**\n\n\n**COUNTRY: Bangladesh**\n\n\n**Bangladesh COVID 19 School Sector Response (GPE)**\n\n\n**A.** **CSSR’s Approach to Evidence-Based Operation**\n\n\n1. The project requires a flexible, learning-from-evidence approach, aligned with the GPE objectives\nto (a) learn continually from evidence and apply that learning adaptively to enhance program\neffectiveness and (b) generate knowledge and evidence on the relevance, effectiveness, and efficiency of\ngrants. The project achieves this through three systems: (a) a comprehensive Results Framework which\nuses relevant core GPE indicators to track and monitor progress of project outputs and outcomes; (b)\nassessments and studies integrated within activity designs under Components 1, 2, and 3; and (c)\nevaluations within the M&E plan to assess efficiency and results from the project.\n\n\n2. The project will use a number of national surveys to gather information on the targeted\npopulation and ensure information is collected in a reliable manner. These sources of information include\n(a) national education system data from the MoPME and MoE and (b) district- and country-level\nhousehold data from national surveys, including the MICS and HIES. <sup>35</sup> [^35: Given the COVID-19 situation, there is a risk that these nationally representative surveys may not be conducted during the\nproject period. If so, only earlier rounds of data can be used to understand the situation before the project period.\n_36_ _[https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19](https://www.worldbank.org/en/data/interactive/2020/03/24/world-bank-education-and-covid-19)_ .] The M&E section will develop a set\nof phone and online surveys,\n\nMention: \"HIES\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household income and expenditure survey named alongside MICS as a project data source.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001745:3:2", "occurrence_id": "5697412b1e10e653e1645b5e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  have been published in the Economic Monitoring Report to the Ad Hoc Liaison\n\n\n3 College and university degree programs in science, technology, engineering and mathematics (STEM) are considered STEM degrees, and they are\nin high demand across many industries.\n4 https://publicadministration.un.org/egovkb/en-us/Reports/UN-E-Government-Survey-2020\n5 The MENA Tech 3.0 Rapid Digital Economy Assessment Dataset and Analysis displays the MNA countries’ performances across the five pillars of\nthe digital economy with a selected set of benchmark indicators. The analysis provides benchmark information across each pillar presented in table\nand graph formats over a scale ranging from 0 to 10 under the following key values and respective color code: Value 7.5-10.0 very advanced (dark\ngreen) – Value 5.0 – 7.4 advanced (green); Value 2.5 -4.9 emerging (orange) ; Value 0-2.4 nascent (red). This analysis is completed with the\ncountry’s standardized results across the datasets and compare them to the regional averages in each dataset. The number of indicators relevant\nfor each digital economic pillar are 16 for the digital infrastructure, 22 for the digital platforms, 11 for the digital financial services, 7 for the\nentrepreneurship and 9 for the digital skills. The data includes the following MNA countries: Bahrain, Djibouti, Egypt, Iran, Iraq, Jordan, Kuwait,\nLebanon, Libya, Morocco, Oman, Qatar, Saudi Arabia, Syrian Arab Republic, Tunisia, United Arab Emirates, West Bank and Gaza, and the Yemen\nRepublic and covers the period 2014 to 2019.\n\n\nSep 18, 2020 Page 4 of 13\n\nMention: \"MENA Tech 3.0 Rapid Digital Economy Assessment Dataset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Assessment dataset benchmarking MNA countries across five pillars of the digital economy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001690:52:0", "occurrence_id": "314c3e34711350fb0e723c44", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGuyana Education Sector Program Project (P174244)\n\n|Average retirement age|60|Assumption|\n|---|---|---|\n|Average age receiving training and<br>entering labor market|20|Based on the age and duration of<br>different school levels in St.Lucia<br>(P170445, used as a proxy)|\n|Number of years the intervention has an<br>impact|30|Assumption|\n|**Labor market participation rates by education levels (% annual) in Guyana**|**Labor market participation rates by education levels (% annual) in Guyana**|**Labor market participation rates by education levels (% annual) in Guyana**|\n|Early Childhood Education|48,7%|ILOSTAT Database, 2018|\n|Primary|43,7%|43,7%|\n|Upper secondary|65,2%|65,2%|\n|Post-secondary non-tertiary education|78,7%|78,7%|\n|**Completion rates**|**Completion rates**|**Completion rates**|\n|Primary|95,7%|UNECSO Database, 2014|\n|Lower Secondary|56,2%|56,2%|\n\n\n\n**14.** **Main Results:** The Project’s net present value (NPV) is estimated at US$18.5 million. Expected\nresults show that the program is expected to increase annual earnings by 4 percent and is associated with\nan internal rate of return (or the return rate that brings the net present value to zero) equal to 10 percent.\nIRR is higher than the discount rate considered for the Project (5 percent) and robust considering a\nsensitive analysis. This result suggests that investing\n\nMention: \"ILOSTAT Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source column for labour-market participation rates by education level in Guyana.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001690:52:0", "occurrence_id": "5556758cbca9970afa91add1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGuyana Education Sector Program Project (P174244)\n\n|Average retirement age|60|Assumption|\n|---|---|---|\n|Average age receiving training and<br>entering labor market|20|Based on the age and duration of<br>different school levels in St.Lucia<br>(P170445, used as a proxy)|\n|Number of years the intervention has an<br>impact|30|Assumption|\n|**Labor market participation rates by education levels (% annual) in Guyana**|**Labor market participation rates by education levels (% annual) in Guyana**|**Labor market participation rates by education levels (% annual) in Guyana**|\n|Early Childhood Education|48,7%|ILOSTAT Database, 2018|\n|Primary|43,7%|43,7%|\n|Upper secondary|65,2%|65,2%|\n|Post-secondary non-tertiary education|78,7%|78,7%|\n|**Completion rates**|**Completion rates**|**Completion rates**|\n|Primary|95,7%|UNECSO Database, 2014|\n|Lower Secondary|56,2%|56,2%|\n\n\n\n**14.** **Main Results:** The Project’s net present value (NPV) is estimated at US$18.5 million. Expected\nresults show that the program is expected to increase annual earnings by 4 percent and is associated with\nan internal rate of return (or the return rate that brings the net present value to zero) equal to 10 percent.\nIRR is higher than the discount rate considered for the Project (5 percent) and robust considering a\nsensitive analysis. This result suggests that investing\n\nMention: \"UNECSO Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for completion rates by education level used in the programme's cost-benefit assumptions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:14:1", "occurrence_id": "2d40b3e6e7a9b8103977bc0a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> This also led to suspension of the first term examination of all\nprimary schools of the country, while the Higher Secondary School Certificate (HSC) Examination (Grade\n12/equivalent terminal exam) has been postponed for the academic year. In addition, the pandemic will\nalmost certainly cause a substantial economic recession that will continue long after schools resume.\nTogether, these factors are likely to deepen the learning crisis and exacerbate existing inequalities. The\npotential impacts of the pandemic on education in Bangladesh are the following:\n\n\n      - **Potential increase in OOSC.** During the current shutdown of schools, the dropout rate in\nprimary and secondary level is likely to increase, especially among girls and children from\nsocioeconomically disadvantaged families. Although declining in recent years, Bangladesh\nstill experiences considerable incidence of dropouts at both primary (around 18 percent)\nand secondary (around 35 percent) levels. <sup>21</sup> [^21: World Bank. 2018. _Equitable Access to Education for All in Bangladesh_ . Washington, DC: World Bank.] The estimated global economic crisis due to the\npandemic and its severe impact on household income will increase the dropout rate,\nespecially for girls and children from socioeconomically disadvantaged households. Increase\nin school dropouts will most likely be linked to increased incidence of early marriage,\nadolescent fertility, and child labor.\n\n\n      - **Potential learning loss.** Long periods of disengagement from school and learning activities\nwill disrupt children’s learning gains. The current situation is disrupting the planned activities\nof the school year and may result into a complete year gap at the worst. Keeping children\nmotivated with learning and maintaining engagement with lessons, especially among\n\n\n16 HIES, 2016–17. According to the latest Multiple Indicator Cluster Survey (MICS), 13.95 percent of children ages 6–16 are\nOOSC, and only 35 percent of them were female.\n17 Statistics for primary level are from NSA 2017 conducted by the MoPME/DPE; statistics for secondary level are from LASI\n\nMention: \"Multiple Indicator Cluster Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 13.95 percent out-of-school rate for ages 6–16 and its gender composition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:14:1", "occurrence_id": "5a8d7bc82acdfb45dc888ef6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> This also led to suspension of the first term examination of all\nprimary schools of the country, while the Higher Secondary School Certificate (HSC) Examination (Grade\n12/equivalent terminal exam) has been postponed for the academic year. In addition, the pandemic will\nalmost certainly cause a substantial economic recession that will continue long after schools resume.\nTogether, these factors are likely to deepen the learning crisis and exacerbate existing inequalities. The\npotential impacts of the pandemic on education in Bangladesh are the following:\n\n\n      - **Potential increase in OOSC.** During the current shutdown of schools, the dropout rate in\nprimary and secondary level is likely to increase, especially among girls and children from\nsocioeconomically disadvantaged families. Although declining in recent years, Bangladesh\nstill experiences considerable incidence of dropouts at both primary (around 18 percent)\nand secondary (around 35 percent) levels. <sup>21</sup> [^21: World Bank. 2018. _Equitable Access to Education for All in Bangladesh_ . Washington, DC: World Bank.] The estimated global economic crisis due to the\npandemic and its severe impact on household income will increase the dropout rate,\nespecially for girls and children from socioeconomically disadvantaged households. Increase\nin school dropouts will most likely be linked to increased incidence of early marriage,\nadolescent fertility, and child labor.\n\n\n      - **Potential learning loss.** Long periods of disengagement from school and learning activities\nwill disrupt children’s learning gains. The current situation is disrupting the planned activities\nof the school year and may result into a complete year gap at the worst. Keeping children\nmotivated with learning and maintaining engagement with lessons, especially among\n\n\n16 HIES, 2016–17. According to the latest Multiple Indicator Cluster Survey (MICS), 13.95 percent of children ages 6–16 are\nOOSC, and only 35 percent of them were female.\n17 Statistics for primary level are from NSA 2017 conducted by the MoPME/DPE; statistics for secondary level are from LASI\n\nMention: \"NSA 2017\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Primary-level education statistics produced by the ministry's education statistics wing.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001707:14:1", "occurrence_id": "49828e4ff8c21cf27b974f42", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> This also led to suspension of the first term examination of all\nprimary schools of the country, while the Higher Secondary School Certificate (HSC) Examination (Grade\n12/equivalent terminal exam) has been postponed for the academic year. In addition, the pandemic will\nalmost certainly cause a substantial economic recession that will continue long after schools resume.\nTogether, these factors are likely to deepen the learning crisis and exacerbate existing inequalities. The\npotential impacts of the pandemic on education in Bangladesh are the following:\n\n\n      - **Potential increase in OOSC.** During the current shutdown of schools, the dropout rate in\nprimary and secondary level is likely to increase, especially among girls and children from\nsocioeconomically disadvantaged families. Although declining in recent years, Bangladesh\nstill experiences considerable incidence of dropouts at both primary (around 18 percent)\nand secondary (around 35 percent) levels. <sup>21</sup> [^21: World Bank. 2018. _Equitable Access to Education for All in Bangladesh_ . Washington, DC: World Bank.] The estimated global economic crisis due to the\npandemic and its severe impact on household income will increase the dropout rate,\nespecially for girls and children from socioeconomically disadvantaged households. Increase\nin school dropouts will most likely be linked to increased incidence of early marriage,\nadolescent fertility, and child labor.\n\n\n      - **Potential learning loss.** Long periods of disengagement from school and learning activities\nwill disrupt children’s learning gains. The current situation is disrupting the planned activities\nof the school year and may result into a complete year gap at the worst. Keeping children\nmotivated with learning and maintaining engagement with lessons, especially among\n\n\n16 HIES, 2016–17. According to the latest Multiple Indicator Cluster Survey (MICS), 13.95 percent of children ages 6–16 are\nOOSC, and only 35 percent of them were female.\n17 Statistics for primary level are from NSA 2017 conducted by the MoPME/DPE; statistics for secondary level are from LASI\n\nMention: \"LASI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Named source for secondary-level education statistics alongside the primary NSA.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001710:4:1", "occurrence_id": "67ba5bfc22837d73df9c5f13", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  with the findings of the RES, which also showed that only 9 percent of industry employees\nare women. The services sector is the main employer of women, with gender-related barriers thwarting the economic\npotential of women both as employees, entrepreneurs, and business-owners. There is a growing body of literature and\ninternational experience that suggests female ownership of firms enhances productivity.\n\nIraq’s nascent entrepreneurship ecosystem requires systematic support to intermediary organizations, or business\nenablers, and other business development services (BDS) providers including business coaches, business consultancy\nfirms, and technical advisors. The capacity of these organizations needs to be strengthened in order to translate into\ntangible impact on beneficiaries including firm survival and growth rates. While there is limited and recent data on the\nstate of entrepreneurship in Iraq aside that it is characterized by high informality and poor gender balance, it is widely\nacknowledged that existing support structures do not adequately provide training and funding for MSMEs. Several\norganizations have piloted targeted BDS interventions to address these constraints. This includes donor-funded activities\nincluding MSME training programs facilitated in partnership with local business chambers, the International Labor\nOrganization’s (ILO) GET Ahead for Women in Enterprise training activities and locally driven programs including\nIraqpreneurs. Prior to COVID-19, Iraq’s digital entrepreneurship ecosystem was also beginning to emerge and flourish,\nwith the establishment of the Iraqi Innovation Alliance (IIA), a network of incubators and innovation spaces located across\nIraq and Kurdistan. Iraq’s developing technology sector has attracted interest from regional and global incubators and\nearly-stage financiers inspired by the emerging success stories of Lezzoo, Miswag, and Magnitt. During COVID-19,\nmembers of the IIA successfully transitioned their training programs into a virtual format, but still require additional\ntechnical assistance to provide services that help entrepreneurs mature from early-stage ventures into growing\nbusinesses.\n\nAccess to financial services among households in Iraq is very low. Iraq remains one of the most under\n\nMention: \"RES\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Rapid enterprise survey finding only 9 percent of industry employees are women.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001710:4:2", "occurrence_id": "a5244a0219db01ddb362abe9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  transitioned their training programs into a virtual format, but still require additional\ntechnical assistance to provide services that help entrepreneurs mature from early-stage ventures into growing\nbusinesses.\n\nAccess to financial services among households in Iraq is very low. Iraq remains one of the most underserviced nations in\nthe Middle East and North Africa (MENA) region, measured in terms of private bank branches per capita. According to\nFindex data, only 23 percent of adults have an account at a formal financial institution, and 3 percent of Iraqi adults\nborrowed from a financial institution, both second only to Yemen. By way of comparison, on average 48 percent of adults\nin the MENA region and 58 percent of adults in lower middle-income countries have accounts at formal financial\ninstitutions. In addition, the location of branches is disproportionate to the population in different provinces across the\ncountry, leading to the result that 63 percent of SME lending volume goes to only 33 percent of the provinces.\n\n\nNov 11, 2020 Page 5 of 10\n\nMention: \"Findex data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 23 percent account-ownership and 3 percent formal-borrowing rates for Iraqi adults.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001710:4:0", "occurrence_id": "e90eba4f5fb8c21612d57ed3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCOVID-19 Adaptation and Recovery Pilot: Supporting Firms Resilience, Access to Finance and Growth in Iraq\n(P174273)\n\n\nthe result is an ecosystem with a large number of small and medium old firms, leading to low firm turnover and lower\njobs.\n\nIraq’s unfavorable business environment constrains private sector activity and drives the concentration of firms towards\nthe low-productive sector. In the World Bank Doing Business 2020, Iraq ranks one of the lowest ranking economies in the\nMiddle East and North Africa region. A Rapid Enterprise Survey (RES) of Iraqi firms (2019) found that the following top\nthree constraints are significantly impacting small firms (employing less than 20 employees): access to finance (32\npercent), business service problems (18 percent), and physical damage and insecurity (17 percent). A significant 97\npercent of MSMEs are facing a financing gap totaling over USD 69 billion. Low access to finance and the absence of a\nrobust ecosystem are behind the concentration of MSMEs in low-productivity sectors. Moreover, most MSMEs are\ninformal and provide their products and services to local markets, and very few expand to national and international\nmarkets. Yet, MSMEs in the country generate more than 60 percent of total employment in the country (excluding oil).\n\nThe private sector in Iraq has poor gender balance. Only a fifth of Iraqi women participate in the nation’s workforce,\nindicating widespread exclusion from economic life.  Women-owned and women-operated businesses are scarce—only\n7 percent of firms had a female owner while only 2 percent had a female top manager in 2011 (Women in business, WBES\nIraq 2011). This is consistent with the findings of the RES, which also showed that only 9 percent of industry employees\nare women. The services sector is the main employer of women, with gender-related barriers thwarting the economic\npotential of women both as employees, entrepreneurs, and business-\n\nMention: \"Rapid Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey of Iraqi firms identifying finance access, business services and infrastructure as top constraints on small firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001751:4:1", "occurrence_id": "f892e9e3ef54f7ac1dfb70e6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  local roads; and reports\ndirectly to the President and Cabinet of Ministers. ASAAR manages major road construction centrally and uses its regional\nentities to carry out maintenance activities. In 2007, the Government reinstated the Road Fund as the account in the state\nbudget to accumulate revenues from road user charges <sup>10</sup> and channel them for routine and periodic maintenance for the\nmain road network. According to the current annual state budget, in 2020, the Road Fund is expected to collect funds\namounting to about US$ 190 million.\n\n9. **Government financing for development and maintenance of the road infrastructure since the start of the road**\n**network renovation program has exceeded US$ 10 billion.** The World Bank (WB) has supported the Government’s road\nsector program with three highway projects <sup>11</sup> [^11: Highway Project, P040716 (US$40 million), Second Highway Project, P09448 (US$675 million), Third Highway Project, P118023 (US$381.6 million)], with a total investment of about US$1.1 billion since 2001. The Bank\ncooperates with other development partners, such as the Asian Development Bank (ADB) and the European Bank for\nReconstruction and Development (EBRD), which are also supporting the road sector of Azerbaijan through large-scale\ninvestment operations.\n\n\n9 Based on measurement of the road network condition in 2019, which included 1896 km of M roads (15km of M network was not covered), 1797\nkm of R roads (12km of R network was not covered), and 5651 km of Y roads (4299km of Y network was not covered). Total road network under\nthe ASAAR currently includes 13671 km (1,911 km of M roads, 1,809 km of R roads, and 9,950km of Y roads).\n10 These mostly include revenues from road tax, vehicle registration fees, vehicle annual license fees, vehicle import excise taxes\n\nMention: \"measurement of the road network condition\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"2019 road-condition survey covering specified kilometres of national, regional and local roads.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001752:4:1", "occurrence_id": "e5e5c9e3ca37d11ded0f76c5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to the Georgian border and M4 highway Baku\nto Yevlakh) and the North-South corridor (M1 highway Baku to the Russian border, and M3 highway Alat\nto the Iranian border highway). In parallel, rehabilitation works for other highways (M category roads)\nwere launched. The completion of the program to reconstruct and rehabilitate all M category roads is\nscheduled for 2021. While upgrading of the highways is close to completion, reconstruction of lower road\nnetworks, and particularly the tertiary roads (Y category roads), is still underway. As indicated in Table 1,\nby the end of 2019, the share of roads in good and fair condition reached 83 percent for the secondary\nnetwork, and 47 percent <sup>9</sup> [^9: SAAAR, road condition survey results classified by International Roughness Index (IRI)] for local roads. The condition of the secondary roads is a road sector\ndevelopment gap that the proposed project will address.\n\n8. **Rehabilitation of the project road allows realization of Government plans to toll the parallel M3**\n**motorway** . National legislation prohibits road tolling without availability of functional alternative roads,\nand the project road will provide that alternative route. Over time, this will reduce the burden on the\nstate budget for maintenance of the corridor in line with the Maximizing Finance for Development (MFD)\napproach.\n\n\n9. **The Azerbaijan State Agency for Automobile Roads (SAAAR) was established in 2017 as a public**\n**entity** . It is responsible for management of the highway and secondary road network, as well as key local\nroads; and reports directly to the President and Cabinet of Ministers. SAAAR manages major road\nconstruction centrally and uses its regional entities to carry out maintenance activities. In 2007, the\nGovernment reinstated the Road Fund (RF) as the account in the state budget to accumulate revenues\nfrom road user charges <sup>10</sup> and channel them for routine and periodic maintenance of the\n\nMention: \"road condition survey results\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Road condition survey classified by International Roughness Index, giving the good-or-fair network shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001751:2:1", "occurrence_id": "aaff5ec4c01958c4d2c939be", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in 2020 before rebounding in 2021–22, as the shocks disperse. These shocks harm the economy through\nadverse impacts on industries and jobs, reduced trade and financial flows, deteriorating consumer confidence, and\nrestrictions introduced to contain the spread of disease. On the fiscal side, low oil prices will impact public expenditures.\nIn such conditions, critical objectives of the government are to support negatively affected industries and households,\nparticularly the bottom 40 percent, along with efforts to contain the pandemic.\n\n3. **Since independence, development of the oil and gas sectors have given Azerbaijan new means of combating**\n**poverty and supporting the economic well-being of citizens.** Azerbaijan’s GDP per capita rose from a post-independence\nlow of just US$470 in 1995 to $4,814 in 2019 <sup>2</sup> [^2: WDI, Macro Poverty Outlook.] . The economic growth in Azerbaijan along with social transfers, and\nespecially pensions and targeted social assistance <sup>3</sup> [^3: Almost two thirds of households receive some form of social transfer.], played an important role in reducing poverty from 49 percent of the\npopulation in 2002 to 5.1 percent in 2018 <sup>4</sup> [^4: State Statistics Committee of Azerbaijan, https://www.stat.gov.az/source/budget_households/?lang=en] . Unemployment in Azerbaijan stands at about five percent while the disparity\nin labor force participation rate between women (54 percent) and men (75 percent) remains an area of concern <sup>5</sup> [^5: “Improving Employment Outcomes in Azerbaijan”, Working Paper, Washington, D.C., World Bank, 2019.] . Although\nthe country is rapidly urbanizing, 47% of the population continue to reside in rural areas. Like in many other developing\ncountries, poverty in Azerbaijan is concentrated in non-urban areas and theretag\n\nMention: \"Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited with WDI as the source of Azerbaijan's GDP-per-capita trajectory from 1995 to 2019.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001752:3:2", "occurrence_id": "83a5876ae8560a79d0e3d990", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  reliability, and safety.\n\n\n3 Almost two thirds of households receive some form of social transfer.\n[4 State Statistics Committee of Azerbaijan, https://www.stat.gov.az/source/budget_households/?lang=en](https://www.stat.gov.az/source/budget_households/?lang=en)\n5 “Improving Employment Outcomes in Azerbaijan”, Working Paper, Washington, D.C., World Bank, 2019.\n6 Based on the Azerbaijan State Statistics Committee data, the nominal per capita income in the Aran region in\n2018 was 256.8 AZN (about US$150)\n7 State Statistics Committee of Azerbaijan _,_ <u>[https://www.stat.gov.az/source/transport/](https://www.stat.gov.az/source/transport/)</u>\n\n\nPage 4 of 14\n\nMention: \"Azerbaijan State Statistics Committee data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 2018 nominal per-capita income of 256.8 AZN for the Aran region.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001775:2:1", "occurrence_id": "fc2bb634ecaae460836df20e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and\ngeological and socio-economic characteristics, and consequently the multiple effects of climate change pose\nsignificant threats to infrastructure, resources and human health. <sup>2</sup> This, coupled with its susceptibility to\nnatural hazards and adverse weather events such as tropical cyclones, sea level rise, storm surges, drought,\nflooding and volcanic eruptions make the country vulnerable to current and future climate change events.\nEach of these hazards, bar volcanic eruptions, are being compounded by the impacts of climate change,\nresulting in the higher frequency and intensity of adverse events. Catastrophic risk modeling by the World\nBank <sup>3</sup> indicates Tonga is expected to incur, on average, US$15.5 million per year in losses due to earthquakes\nand tropical cyclones and losses of up to 14 percent of GDP in years affected by specific disasters. In the next\n50 years, Tonga has a 50 percent chance of experiencing a loss exceeding US$175 million and casualties higher\nthan 440 people, and a 10 percent chance of experiencing a loss exceeding US$430 million and casualties\n\n\n1 United Nations Development Programme, Human Development Report 2020; The Next Frontier: Human Development and the\nAnthropocene – Tonga, 2020.\n2 World Bank Climate Change Knowledge Portal, Tonga Dashboard.\n3 Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI) Country Risk Profiles, September 2011.\n\n\nOct 05, 2021 Page 3 of 16\n\nMention: \"Tonga Dashboard\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Climate portal dashboard supplying Tonga's climate trend and hazard profile.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001782:17:0", "occurrence_id": "fee3d3a77ade7d4e86807366", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **La Banque mondiale**\nProjet sur les fondations numériques de Djibouti\n\n**b)** **Cours de niveau intermédiaire et avancé sur le numérique** <sup>57</sup> [^57: À l’instar du commerce en ligne, de la passation de marchés en ligne, des technologies financières, de l’analyse des données, des plateformes en nuage,\ndu marketing numérique avancé, du développement de logiciels et des nouvelles technologies.] à l’intention des MPME et des entrepreneurs afin de leur\n\npermettre de réaliser leur transformation numérique et/ou de créer des produits innovants et adaptés au marché. Les\nMPME seront ciblées sur la base d’une liste dressée par la Chambre de commerce, et ces cours feront l’objet d’annonces au\nmoyen d’ateliers et de séminaires de sensibilisation destinés aux MPME et aux médias. Conformément à l’approche de\nMobilisation des capitaux privés (PCD), les partenariats public-privé seront promus, en vue de fournir des formations sur les\ncompétences numériques de manière souple et innovante, et de mettre plus efficacement l’offre de nouvelles compétences\nen rapport avec la demande du marché. <sup>58</sup> [^58: À titre d’exemple, des cours pourraient être élaborés en coopération avec des organisations de soutien à l’entrepreneuriat existantes, telles que CLE et\nCTID, qui pourraient proposer leur espace physique et leurs ressources en vue d’enseigner ces compétences spécialisées.] Les cours sur le numérique seront spécifiquement adaptés aux MPME dirigées\npar des femmes et aux femmes entrepreneures.\n\n\n**c)** **Création d’une académie virtuelle de codage**, avec des liens régionaux et internationaux, <sup><u>59</u></sup> afin d’enseigner aux femmes, aux\n\njeunes et aux entrepreneurs des compétences en codage\n\nMention: \"liste dressée par la Chambre de commerce\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Chamber of commerce list used to target micro, small and medium enterprises for digital training.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001745:4:2", "occurrence_id": "18fe36d15f608dd0843ed46a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in the West\nBank.\n\n\n6 Economic Monitoring Report to the Ad Hoc Liaison Committee (AHLC). The World Bank is the secretariat to the Ad Hoc Liaison Committee (AHLC)\nwhich is the biggest donor meeting to look at development priorities in the WB&G. The AHLC meets twice a year and the Bank produces a report that\nlooks at recent developments in the real, fiscal and financial sectors in addition to another focus chapter. The chapter for the April 2020 AHLC Report\nin addition to the standard macroeconomic, fiscal and banking, focuses on issues facing the Digital infrastructure sector in the WB&G.\n[7 World Bank DataBank. Available at: https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=PS](https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=PS)\n8 Calculating using GSMA data Q2 2020 (i) mobile broadband capable connections and (ii) SIMs per unique mobile subscriber. Number of unique\nmobile broadband capable subscribers is calculated by dividing (i) by (ii). This was divided by the total population (World Bank, 2019) to estimate\nthe unique user penetration rate.\n9 Network coverage, by population, 3G, Q2 2020 (Source: GSMA Intelligence). Note that coverage does not translate automatically into penetration,\nespecially at the beginning of deployment of a new standard. 3G coverage was only introduced in the West Bank in 2018. Although coverage\ncurrently stands at 63.7 percent, the market penetration rate of mobile broadband capable connections, representing SIM cards registered on the\nmobile network in a device capable of download speeds of 256 kb/s or greater, including 3G (eg WCDMA, HSPA) and 4G (eg LTE, WiMAX) network\ntechnologies, was only 16.03 percent as of Q2 2020.\n\nMention: \"World Bank DataBank\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Repository cited for the internet-user indicator series for the Palestinian territories.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001745:4:2", "occurrence_id": "973044598b9a3b51b5d880d5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in the West\nBank.\n\n\n6 Economic Monitoring Report to the Ad Hoc Liaison Committee (AHLC). The World Bank is the secretariat to the Ad Hoc Liaison Committee (AHLC)\nwhich is the biggest donor meeting to look at development priorities in the WB&G. The AHLC meets twice a year and the Bank produces a report that\nlooks at recent developments in the real, fiscal and financial sectors in addition to another focus chapter. The chapter for the April 2020 AHLC Report\nin addition to the standard macroeconomic, fiscal and banking, focuses on issues facing the Digital infrastructure sector in the WB&G.\n[7 World Bank DataBank. Available at: https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=PS](https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=PS)\n8 Calculating using GSMA data Q2 2020 (i) mobile broadband capable connections and (ii) SIMs per unique mobile subscriber. Number of unique\nmobile broadband capable subscribers is calculated by dividing (i) by (ii). This was divided by the total population (World Bank, 2019) to estimate\nthe unique user penetration rate.\n9 Network coverage, by population, 3G, Q2 2020 (Source: GSMA Intelligence). Note that coverage does not translate automatically into penetration,\nespecially at the beginning of deployment of a new standard. 3G coverage was only introduced in the West Bank in 2018. Although coverage\ncurrently stands at 63.7 percent, the market penetration rate of mobile broadband capable connections, representing SIM cards registered on the\nmobile network in a device capable of download speeds of 256 kb/s or greater, including 3G (eg WCDMA, HSPA) and 4G (eg LTE, WiMAX) network\ntechnologies, was only 16.03 percent as of Q2 2020.\n\nMention: \"GSMA data Q2 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Mobile broadband connection and SIM counts used to compute unique subscriber penetration.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001745:4:2", "occurrence_id": "b6f7992e752760e8e007cb3c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in the West\nBank.\n\n\n6 Economic Monitoring Report to the Ad Hoc Liaison Committee (AHLC). The World Bank is the secretariat to the Ad Hoc Liaison Committee (AHLC)\nwhich is the biggest donor meeting to look at development priorities in the WB&G. The AHLC meets twice a year and the Bank produces a report that\nlooks at recent developments in the real, fiscal and financial sectors in addition to another focus chapter. The chapter for the April 2020 AHLC Report\nin addition to the standard macroeconomic, fiscal and banking, focuses on issues facing the Digital infrastructure sector in the WB&G.\n[7 World Bank DataBank. Available at: https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=PS](https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=PS)\n8 Calculating using GSMA data Q2 2020 (i) mobile broadband capable connections and (ii) SIMs per unique mobile subscriber. Number of unique\nmobile broadband capable subscribers is calculated by dividing (i) by (ii). This was divided by the total population (World Bank, 2019) to estimate\nthe unique user penetration rate.\n9 Network coverage, by population, 3G, Q2 2020 (Source: GSMA Intelligence). Note that coverage does not translate automatically into penetration,\nespecially at the beginning of deployment of a new standard. 3G coverage was only introduced in the West Bank in 2018. Although coverage\ncurrently stands at 63.7 percent, the market penetration rate of mobile broadband capable connections, representing SIM cards registered on the\nmobile network in a device capable of download speeds of 256 kb/s or greater, including 3G (eg WCDMA, HSPA) and 4G (eg LTE, WiMAX) network\ntechnologies, was only 16.03 percent as of Q2 2020.\n\nMention: \"GSMA Intelligence\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the 3G population coverage figure against which penetration is compared.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001826:42:0", "occurrence_id": "23c61b7855d0332120c17946", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCAR- Public Sector Digital Governance Project (P174620)\n\n\nbenefits is estimated to vary between US$ 3.4 million and US$ 2.2 million (depending on cost variations),\ncorresponding with internal rate of return varying between 35 percent and 22 percent.\n\n\n**77.** **Reduced losses from absenteeism of civil servants** . Civil servants are often absent from their posts, yet they are\nrarely sanctioned and removed from the payroll. Studies from other countries show that civil service payrolls and\npension systems often contain many ghost workers and pensioners for whom someone collects a paycheck or a\npension. As noted above, flaws in the GIRAFE database in use in the CAR make it impossible to ensure that civil\nservants enrolled in the payroll are active and that their wages are accurately calculated. Through the verification\nof HR records, broadening the scope of HR databases to contractual and temporary staff, linking the database to\npayroll management, and strengthening internal controls and oversight starting with the ministries of education\nand health, is expected to reduce absenteeism of civil servants. Reducing absenteeism of just 1,850 teachers from\n37 percent to 15 percent would generate returns well above the cost of capital. The assumptions and results of\nthe calculations are below. The net present value of benefits varies between US$ 62,8 million and US$ 55.5 million\n(depending on cost variation), corresponding with internal rate of return varying between 206 percent and 169\npercent.\n\n\n**78.** **Increased tax and customs revenue** . Increasing the efficiency of the country’s tax and customs system is expected\nto narrow the tax gap (the difference between tax potential and tax collected), estimated to be 4 percent in 2016.\nAn important measure towards this end is to improve the management and transparency of tax and customs\nexemptions. The adoption of a new investment charter in 2017 that made it possible to establish a framework for\n\nMention: \"GIRAFE database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Civil service payroll database whose flaws prevent verifying that enrolled staff are active.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001826:42:0", "occurrence_id": "9c00f5962fc0db5a39cb7838", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCAR- Public Sector Digital Governance Project (P174620)\n\n\nbenefits is estimated to vary between US$ 3.4 million and US$ 2.2 million (depending on cost variations),\ncorresponding with internal rate of return varying between 35 percent and 22 percent.\n\n\n**77.** **Reduced losses from absenteeism of civil servants** . Civil servants are often absent from their posts, yet they are\nrarely sanctioned and removed from the payroll. Studies from other countries show that civil service payrolls and\npension systems often contain many ghost workers and pensioners for whom someone collects a paycheck or a\npension. As noted above, flaws in the GIRAFE database in use in the CAR make it impossible to ensure that civil\nservants enrolled in the payroll are active and that their wages are accurately calculated. Through the verification\nof HR records, broadening the scope of HR databases to contractual and temporary staff, linking the database to\npayroll management, and strengthening internal controls and oversight starting with the ministries of education\nand health, is expected to reduce absenteeism of civil servants. Reducing absenteeism of just 1,850 teachers from\n37 percent to 15 percent would generate returns well above the cost of capital. The assumptions and results of\nthe calculations are below. The net present value of benefits varies between US$ 62,8 million and US$ 55.5 million\n(depending on cost variation), corresponding with internal rate of return varying between 206 percent and 169\npercent.\n\n\n**78.** **Increased tax and customs revenue** . Increasing the efficiency of the country’s tax and customs system is expected\nto narrow the tax gap (the difference between tax potential and tax collected), estimated to be 4 percent in 2016.\nAn important measure towards this end is to improve the management and transparency of tax and customs\nexemptions. The adoption of a new investment charter in 2017 that made it possible to establish a framework for\n\nMention: \"HR records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Human-resource records whose verification is the first step in removing ghost workers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001826:42:0", "occurrence_id": "553192178d2dedb79d4cdcc6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCAR- Public Sector Digital Governance Project (P174620)\n\n\nbenefits is estimated to vary between US$ 3.4 million and US$ 2.2 million (depending on cost variations),\ncorresponding with internal rate of return varying between 35 percent and 22 percent.\n\n\n**77.** **Reduced losses from absenteeism of civil servants** . Civil servants are often absent from their posts, yet they are\nrarely sanctioned and removed from the payroll. Studies from other countries show that civil service payrolls and\npension systems often contain many ghost workers and pensioners for whom someone collects a paycheck or a\npension. As noted above, flaws in the GIRAFE database in use in the CAR make it impossible to ensure that civil\nservants enrolled in the payroll are active and that their wages are accurately calculated. Through the verification\nof HR records, broadening the scope of HR databases to contractual and temporary staff, linking the database to\npayroll management, and strengthening internal controls and oversight starting with the ministries of education\nand health, is expected to reduce absenteeism of civil servants. Reducing absenteeism of just 1,850 teachers from\n37 percent to 15 percent would generate returns well above the cost of capital. The assumptions and results of\nthe calculations are below. The net present value of benefits varies between US$ 62,8 million and US$ 55.5 million\n(depending on cost variation), corresponding with internal rate of return varying between 206 percent and 169\npercent.\n\n\n**78.** **Increased tax and customs revenue** . Increasing the efficiency of the country’s tax and customs system is expected\nto narrow the tax gap (the difference between tax potential and tax collected), estimated to be 4 percent in 2016.\nAn important measure towards this end is to improve the management and transparency of tax and customs\nexemptions. The adoption of a new investment charter in 2017 that made it possible to establish a framework for\n\nMention: \"HR databases\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Databases to be extended to contractual and temporary staff and linked to payroll management.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001826:13:1", "occurrence_id": "f634381aba126784ae33fe28", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the World\nBank Group (WBG) 2019 Country Policy and Institutional Assessment (CPIA), is also below the Sub-Saharan Africa’s\n(SSA) fragile countries’ average of 2.8. The social contract between the population and the Government remains\nweak due to unequal access to public services across the country and a perception of widespread corruption and\nimpunity.\n\n\n**6.** **As CAR has been identified as highly vulnerable to climate change, supporting investments in climate-smart**\n**infrastructure, digitally enabled efficiency gains, and increased response capacity will be critical** . CAR ranks 181\nout of 182 in the Notre Dame Global Adaptation Index, indicating high vulnerability and low readiness to combat\nthe effects of climate change. <sup>5</sup> [^5: Notre Dame Environmental Change Initiative (ND-GAIN) (2021) Country Index, Vulnerability and Readiness.] Heavy rains and floods are recurrent, and the frequency and impact of these events\nare expected to increase. <sup>6</sup> [^6: https://climateknowledgeportal.worldbank.org/country/central-african-republic/vulnerability] The impacts of climate change will disproportionately affect the poorest and most\nvulnerable and hinder CAR's development agenda and its efforts towards economic sustainability and political\nstability. Factors contributing to low preparedness to adapt to the impact of climate stress include: (i) limited use\nof energy-efficient and resilient infrastructure (including digital); (ii) limited integration of climate data and climate\nrisks into sectoral (including digital) policies, regulations, and infrastructure planning; (iii) weak capacity to manage\nand analyze climate data, including its cross-sectoral impacts on sectors such as health; and (iv) limited\nmanagement of e-waste.\n\n\n**B. Sectoral and Institutional Context**\n\n\n**Public Financial Management (PFM)**\n\n\n**7.** **The Government of CAR (GoCAR) has undertaken significant and laudable efforts in recent years to improve**\n*\n\nMention: \"climate data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Climate data whose weak integration into policy and planning is named as a driver of low adaptive capacity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001775:3:1", "occurrence_id": "87aa44cec6d51fa7761ab244", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  FY20-FY21 as TC Gita reconstruction activity picked up and the tourism\nand agriculture sectors continued to recover. The Government of Tonga (GoT) had successfully consolidated\nits fiscal position over the previous few years, with debt to GDP declining. However, the dual shocks have\nresulted in an economic contraction in FY20, and a projected 6.1 percent contraction in FY21. This is due\nmainly to the reduction in international tourism arrivals and delays in public construction.\n\n\n7. **Extreme poverty (consumption of less than US$1.90 in purchasing power parity terms per person per**\n**day) was less than 1 percent in FY16, among the lowest in the Pacific region. However, a quarter of the**\n**population suffer from hardship.** Many of these people will face significant additional hardship due to the\nimpacts of the dual shocks. Around 30 percent of households have at least one member working in tourismlinked sectors—the sectors hardest hit by the border closure and strict social distancing measures. Business\nsurveys indicate that over 60 percent of firms have reduced staff and/or reduced workers’ hours in response\nto the economic downturn. Moreover, four out of every five households receive remittances from abroad.\nRemittances are projected to decline by 15 percent due to COVID-19. A decline of this size would have a\nsignificant negative impact on the poorest and most vulnerable households, for whom remittances tend to\naccount for a higher share of income.\n\n\n8. **Tonga is focused on accelerating its gender commitments under its revised National Policy on Gender**\n**and Development (RNPGAD) 2014 and the Sustainable Development Goal 5: Gender Equality** . Based on the\n2019 Gender Inequality Index (GII) <sup>4</sup>, the Kingdom of Tonga ranked 79 out of 162 countries on the index with\na GII score of 0.354. This is a substantial improvement\n\nMention: \"Business\nsurveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Firm surveys showing over 60 percent reduced staff or hours in response to the downturn.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001840:3:1", "occurrence_id": "0cbc00ca08eb3b32d94ca26c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \naided by non-competitive emergency generation schemes from expensive oil-based plants, has quadrupled to 20 GW in\nthe same period and now comfortably exceeds the 12 GW peak demand in the country. Annual per capita electricity\nconsumption more than doubled to 320Kwh.\n\n6. **There hasn’t been a similar improvement in reliability of electricity supply, which is adversely impacting its**\n**economic competitiveness and the business environment.** This reflects inadequate investment in the transmission and\ndistribution network. Bangladesh ranked 176 out of 187 countries in the electricity sector rankings of 2019 Doing\nBusiness. Reliability of electricity supply is the lowest among regional peers due to outages. A recent International\nFinance Corporation (IFC) study shows that unreliable power supply is a major challenge for the expansion of medium\nsize enterprises in sectors with export potential (e.g., footwear, plastics, light engineering goods); the study also\nestimates that the annual loss to production due to power disruption has been over 0.5 percent of GDP. <sup>2</sup> [^2: Building Competitive Sectors for Export Diversification: Opportunities and Policy Priorities for Bangladesh, IFC 2019] Businesses\ncontinue to rely on expensive and environmentally polluting back up and captive generation. Underpricing of electricity\n\n  - losses of the power sector State Owned Enterprises for FY2019 are estimated at about US$1.2 billion, or 0.9 percent of\nGDP - serves as a disincentive to investments and undermines the sustainability of the sector. The IMF estimates the\ntotal direct energy subsidy at 2 percent of GDP; this number doubles if implied tax is added to reflect environmental and\nother externalities.\n\n7. **Bangladesh faces significant challenges in securing sustainable and affordable electricity to support its rapidly**\n**growing economy, as it pursues its aspirations to become a developed nation by 2050.** Electricity demand in Bangladesh\nis projected to more than double to 32 GW by 2030. The availability of low-cost domestic gas reserves has historically\nenabled Bangladesh to generate electricity at relatively low\n\nMention: \"electricity sector rankings of 2019 Doing\nBusiness\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks Bangladesh 176 of 187 on electricity supply, evidencing the sector's business-environment weakness.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001828:5:0", "occurrence_id": "78260603e0237df3c6406ffa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCAR- Public Sector Digital Governance Project (P174620)\n\n\nleverage digital technology as an engine of growth and a tool to support poverty reduction. According to the Digital\nEconomy diagnostic for CAR (2020), many of the essential foundational blocks for the required digital ecosystem are at a\nnascent state. Bridging the vast digital infrastructure gaps under a Maximizing Finance for Development Approach (MFD)\nwill therefore be the first step in expanding the uptake of digital solutions and services in the country.\n\n9. **Connectivity challenges,** resulting in low levels of broadband access and adoption by consumers, businesses, and\ngovernment, prevent the country from leveraging digitally enabled solutions for expanded service delivery. CAR is one of\nthe least connected countries on the continent and in the world and is characterized by significant infrastructure gaps\nalong all segments of the broadband value chain. At present, CAR lacks an international and national fiber optic backbone\nnetwork, and therefore almost all of CAR’s current international capacity is supplied via satellite connections, which\npushes up wholesale and retail broadband prices. As a result, CAR offers some of the most expensive broadband services\nin the world, in relation to purchasing powers (1Go=22.6% of GNI per capita), and with very poor quality of service.\n\n10. **Digital skills.** Most of the population is not familiar with digital tools and systems and has not acquired the basic skills\nneeded to use digital technologies. According to the recent MICS6 survey (2018-2019) <sup>1</sup> [^1: MICS6-RCA, “ _Enquête par grappes à indicateur multiples 2018-2019_ ”, Final Survey Results Report, January 2021.], 36.9 percent of the number of\nindividuals with a cell phone are men and 20.6 percent are women, and the percentage of men and women aged 15-49\nwho have ever used a computer and the internet is 8 percent and 7.6 percent for men, and 4.8 percent\n\nMention: \"Digital\nEconomy diagnostic for CAR\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Diagnostic finding digital-ecosystem foundations still nascent, shaping the project's infrastructure approach.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001828:5:0", "occurrence_id": "4cb4944a0371883b07bac8f9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCAR- Public Sector Digital Governance Project (P174620)\n\n\nleverage digital technology as an engine of growth and a tool to support poverty reduction. According to the Digital\nEconomy diagnostic for CAR (2020), many of the essential foundational blocks for the required digital ecosystem are at a\nnascent state. Bridging the vast digital infrastructure gaps under a Maximizing Finance for Development Approach (MFD)\nwill therefore be the first step in expanding the uptake of digital solutions and services in the country.\n\n9. **Connectivity challenges,** resulting in low levels of broadband access and adoption by consumers, businesses, and\ngovernment, prevent the country from leveraging digitally enabled solutions for expanded service delivery. CAR is one of\nthe least connected countries on the continent and in the world and is characterized by significant infrastructure gaps\nalong all segments of the broadband value chain. At present, CAR lacks an international and national fiber optic backbone\nnetwork, and therefore almost all of CAR’s current international capacity is supplied via satellite connections, which\npushes up wholesale and retail broadband prices. As a result, CAR offers some of the most expensive broadband services\nin the world, in relation to purchasing powers (1Go=22.6% of GNI per capita), and with very poor quality of service.\n\n10. **Digital skills.** Most of the population is not familiar with digital tools and systems and has not acquired the basic skills\nneeded to use digital technologies. According to the recent MICS6 survey (2018-2019) <sup>1</sup> [^1: MICS6-RCA, “ _Enquête par grappes à indicateur multiples 2018-2019_ ”, Final Survey Results Report, January 2021.], 36.9 percent of the number of\nindividuals with a cell phone are men and 20.6 percent are women, and the percentage of men and women aged 15-49\nwho have ever used a computer and the internet is 8 percent and 7.6 percent for men, and 4.8 percent\n\nMention: \"MICS6 survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the gender gap in cell-phone ownership of 36.9 percent of men and 20.6 percent of women.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001846:12:1", "occurrence_id": "c0392f40dcc873d119055234", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in exports was linked to the significant contraction in the Euro Area,\nMadagascar’s largest external market, as well as the collapse in tourism from March 2020 onwards. Public consumption\nand investment, however, have helped support economic activity. Assuming that the pandemic does not worsen, growth\nis projected at 2 percent in 2021. This modest recovery though will be insufficient to make up for the contraction in\n2020 and will result in GDP per capita falling to its lowest level in over a decade. <sup>3</sup> [^3: From Systematic Country Diagnostic (SCD) concept note, February 2021]\n\n\n**3.** **The private sector has been strongly affected by the economic crisis created by the pandemic, with**\n**companies simultaneously hit by demand- and supply-side shocks.** In a survey conducted between June and July of\n2020, 96.7 percent of surveyed companies declared a contraction in demand, while 90 percent experienced a decrease\nin production levels. <sup>4</sup> [^4: INSTAT, Impact de la COVID–19 sur les activités des entreprises, August 2020. This survey gives an overview of the impact of COVID-19 on\na sample of Malagasy firms.] Around 32 percent of formal companies surveyed are estimated to have closed their doors, at\nleast temporarily. The impact on the labor market has also been significant, with total employment falling by about 7.7\npercent in the first half of 2020. Surveys show that almost two-thirds of households have reported a loss of earnings\nsince the start of the crisis.\n\n\n**4.** **Small and Medium Enterprises (SMEs) have been particularly affected by the crisis in all three project**\n**sectors (tourism, agribusiness, digital).** While all firms have been impacted by the economic slowdown, its intensity has\nbeen primarily differentiated by size. The INSTAT survey showed that SMEs experienced the biggest revenue\ncontraction, (51.\n\nMention: \"survey conducted between June and July of\n2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Firm survey in which 96.7 percent reported demand contraction and 90 percent lower production.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001846:12:1", "occurrence_id": "c758eb4d0bf06e5dd4434026", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in exports was linked to the significant contraction in the Euro Area,\nMadagascar’s largest external market, as well as the collapse in tourism from March 2020 onwards. Public consumption\nand investment, however, have helped support economic activity. Assuming that the pandemic does not worsen, growth\nis projected at 2 percent in 2021. This modest recovery though will be insufficient to make up for the contraction in\n2020 and will result in GDP per capita falling to its lowest level in over a decade. <sup>3</sup> [^3: From Systematic Country Diagnostic (SCD) concept note, February 2021]\n\n\n**3.** **The private sector has been strongly affected by the economic crisis created by the pandemic, with**\n**companies simultaneously hit by demand- and supply-side shocks.** In a survey conducted between June and July of\n2020, 96.7 percent of surveyed companies declared a contraction in demand, while 90 percent experienced a decrease\nin production levels. <sup>4</sup> [^4: INSTAT, Impact de la COVID–19 sur les activités des entreprises, August 2020. This survey gives an overview of the impact of COVID-19 on\na sample of Malagasy firms.] Around 32 percent of formal companies surveyed are estimated to have closed their doors, at\nleast temporarily. The impact on the labor market has also been significant, with total employment falling by about 7.7\npercent in the first half of 2020. Surveys show that almost two-thirds of households have reported a loss of earnings\nsince the start of the crisis.\n\n\n**4.** **Small and Medium Enterprises (SMEs) have been particularly affected by the crisis in all three project**\n**sectors (tourism, agribusiness, digital).** While all firms have been impacted by the economic slowdown, its intensity has\nbeen primarily differentiated by size. The INSTAT survey showed that SMEs experienced the biggest revenue\ncontraction, (51.\n\nMention: \"INSTAT survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Same agency survey showing small and medium firms suffered the largest revenue contraction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001846:13:1", "occurrence_id": "700d0aebb461361cd83eda18", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of 190 in 2020), and the Global Competitiveness Report (132 out of 141\ncountries in 2019). Challenges for the private sector range from weak governance, insufficient financing, lack of skills,\nand poor infrastructure. Consequently, domestic investment by nationals has been carried out by the few able to\nmobilize their own financing and withstand, or even benefit, from the unsupportive environment by taking advantage\nof bad roads to develop local monopolies, for example. Increasing both domestic and foreign private investment will be\nkey to the recovery from the pandemic, and addressing the structural challenges the country faces will need to be\nprioritized, given that global competition for investment will likely be intense.\n\n\n\n**Figure 1. Private, Public sector investment, and**\n**Foreign Directly Investment (FDI) in Madgascar**\n\n\n\n**Figure 2. Madagascar Ease of Doing Business Score**\n\n**2016-2020**\n\n\nSource: Doing Business Report\n\n\n\n**6.** **Madagascar is among the countries most exposed to climate change** <sup>**8**</sup> [^8: SCD draft concept note, 2021.] **, natural disasters and environmental**\n**risks, with a growing impact on private sector development specifically, and the pandemic has aggravated this.**\nMadagascar’s location, topography, and socioeconomic conditions, combine to make it highly vulnerable to climate\nchange and extreme weather events, with cyclones, flooding, and drought posing the greatest risks in different parts of\nthe country. The bulk of Madagascar’s population remains dependent on a range of natural resources for their\n\n\n6 <mark>Moreover, in addition to teleworking arrangements, about 8 percent of businesses appear to have seized the opportunity of the pandemic</mark>\n<mark>to increase the utilization or integrate digital solutions in their work processes.</mark> MEF/INSTAT, Impact de la COVID–19 sur les activités des\nentreprises\n\nMention: \"Global Competitiveness Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks Madagascar 132 of 141, one benchmark of the country's weak competitiveness.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001846:13:1", "occurrence_id": "f2e35bc96f896342b4574ff0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of 190 in 2020), and the Global Competitiveness Report (132 out of 141\ncountries in 2019). Challenges for the private sector range from weak governance, insufficient financing, lack of skills,\nand poor infrastructure. Consequently, domestic investment by nationals has been carried out by the few able to\nmobilize their own financing and withstand, or even benefit, from the unsupportive environment by taking advantage\nof bad roads to develop local monopolies, for example. Increasing both domestic and foreign private investment will be\nkey to the recovery from the pandemic, and addressing the structural challenges the country faces will need to be\nprioritized, given that global competition for investment will likely be intense.\n\n\n\n**Figure 1. Private, Public sector investment, and**\n**Foreign Directly Investment (FDI) in Madgascar**\n\n\n\n**Figure 2. Madagascar Ease of Doing Business Score**\n\n**2016-2020**\n\n\nSource: Doing Business Report\n\n\n\n**6.** **Madagascar is among the countries most exposed to climate change** <sup>**8**</sup> [^8: SCD draft concept note, 2021.] **, natural disasters and environmental**\n**risks, with a growing impact on private sector development specifically, and the pandemic has aggravated this.**\nMadagascar’s location, topography, and socioeconomic conditions, combine to make it highly vulnerable to climate\nchange and extreme weather events, with cyclones, flooding, and drought posing the greatest risks in different parts of\nthe country. The bulk of Madagascar’s population remains dependent on a range of natural resources for their\n\n\n6 <mark>Moreover, in addition to teleworking arrangements, about 8 percent of businesses appear to have seized the opportunity of the pandemic</mark>\n<mark>to increase the utilization or integrate digital solutions in their work processes.</mark> MEF/INSTAT, Impact de la COVID–19 sur les activités des\nentreprises\n\nMention: \"Madagascar Ease of Doing Business Score\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Figure charting the country's regulatory-benchmark score across 2016–2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001846:13:1", "occurrence_id": "2c3f206a44ffb9ef8e74d4af", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of 190 in 2020), and the Global Competitiveness Report (132 out of 141\ncountries in 2019). Challenges for the private sector range from weak governance, insufficient financing, lack of skills,\nand poor infrastructure. Consequently, domestic investment by nationals has been carried out by the few able to\nmobilize their own financing and withstand, or even benefit, from the unsupportive environment by taking advantage\nof bad roads to develop local monopolies, for example. Increasing both domestic and foreign private investment will be\nkey to the recovery from the pandemic, and addressing the structural challenges the country faces will need to be\nprioritized, given that global competition for investment will likely be intense.\n\n\n\n**Figure 1. Private, Public sector investment, and**\n**Foreign Directly Investment (FDI) in Madgascar**\n\n\n\n**Figure 2. Madagascar Ease of Doing Business Score**\n\n**2016-2020**\n\n\nSource: Doing Business Report\n\n\n\n**6.** **Madagascar is among the countries most exposed to climate change** <sup>**8**</sup> [^8: SCD draft concept note, 2021.] **, natural disasters and environmental**\n**risks, with a growing impact on private sector development specifically, and the pandemic has aggravated this.**\nMadagascar’s location, topography, and socioeconomic conditions, combine to make it highly vulnerable to climate\nchange and extreme weather events, with cyclones, flooding, and drought posing the greatest risks in different parts of\nthe country. The bulk of Madagascar’s population remains dependent on a range of natural resources for their\n\n\n6 <mark>Moreover, in addition to teleworking arrangements, about 8 percent of businesses appear to have seized the opportunity of the pandemic</mark>\n<mark>to increase the utilization or integrate digital solutions in their work processes.</mark> MEF/INSTAT, Impact de la COVID–19 sur les activités des\nentreprises\n\nMention: \"Doing Business Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Named as the source line behind the ease-of-doing-business figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001956:6:0", "occurrence_id": "c86bd10b60a21d6dcec9f75c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAdditional Financing for the Tajikistan Emergency COVID-19 Project (P175168)\n\n\n15. The resources available under the parent Project allowed for the provision of limited cash\nassistance to poor households with children under the age of 3 to help protect them from food insecurity\nand safeguard adequate nutrition. However, the socio-economic impact of the pandemic since March\n2020, when the parent Project was designed, has been greater than expected. Data from the Listening to\nTajikistan (L2T) monthly household survey show substantially reduced food consumption: the proportion\nof households reporting reduced food consumption spiked to 41 percent in May 2020 and remained 10\npercentage points above 2019 levels through August 2020. The L2T data show overall deterioration in a\nrange of food security indicators, with rising shares of the population who reported going hungry, reducing\ndietary diversity, and having worries over obtaining enough food. Increasing food insecurity is part of a\nmuch deeper decline in living standards, with 40 percent of households reporting work disruption in\nAugust 2020. While work disruptions are becoming less pervasive than the period immediately following\nthe outbreak, the rising share of persistent unemployment may become permanent. The share of\nrespondents who halted work and who reported that they were unlikely to resume working rose from 19\npercent in May 2020 to 33 percent in August 2020. Finally, the average value of remittances, the key\nsource of income for poorer households, declined by 37 percent between January and May 2020.\nConsequently, there is a dire need to expand the social assistance program for the most vulnerable\npopulations in Tajikistan.\n\n\n**_Scope:_**\n\n\n16. Consistent with the evidence available in the early stages of the COVID-19 pandemic (November\n2019-March 2020), the parent Project focused on supporting the Government’s capacity to provide care\nfor critical cases of COVID-19 – that is, patients requiring care in ICUs. However, subsequently, evidence\nemerging from countries battling COVID-\n\nMention: \"Listening to\nTajikistan\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Monthly household survey tracking reduced food consumption through the pandemic.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001956:6:0", "occurrence_id": "85f2385842bd3a8ed052fd55", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAdditional Financing for the Tajikistan Emergency COVID-19 Project (P175168)\n\n\n15. The resources available under the parent Project allowed for the provision of limited cash\nassistance to poor households with children under the age of 3 to help protect them from food insecurity\nand safeguard adequate nutrition. However, the socio-economic impact of the pandemic since March\n2020, when the parent Project was designed, has been greater than expected. Data from the Listening to\nTajikistan (L2T) monthly household survey show substantially reduced food consumption: the proportion\nof households reporting reduced food consumption spiked to 41 percent in May 2020 and remained 10\npercentage points above 2019 levels through August 2020. The L2T data show overall deterioration in a\nrange of food security indicators, with rising shares of the population who reported going hungry, reducing\ndietary diversity, and having worries over obtaining enough food. Increasing food insecurity is part of a\nmuch deeper decline in living standards, with 40 percent of households reporting work disruption in\nAugust 2020. While work disruptions are becoming less pervasive than the period immediately following\nthe outbreak, the rising share of persistent unemployment may become permanent. The share of\nrespondents who halted work and who reported that they were unlikely to resume working rose from 19\npercent in May 2020 to 33 percent in August 2020. Finally, the average value of remittances, the key\nsource of income for poorer households, declined by 37 percent between January and May 2020.\nConsequently, there is a dire need to expand the social assistance program for the most vulnerable\npopulations in Tajikistan.\n\n\n**_Scope:_**\n\n\n16. Consistent with the evidence available in the early stages of the COVID-19 pandemic (November\n2019-March 2020), the parent Project focused on supporting the Government’s capacity to provide care\nfor critical cases of COVID-19 – that is, patients requiring care in ICUs. However, subsequently, evidence\nemerging from countries battling COVID-\n\nMention: \"L2T data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Shows deterioration across food-security indicators including hunger and dietary diversity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001903:10:2", "occurrence_id": "f05924e4860646afbbf6349c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  dynamic in the last months of 2020. The rebound is\nexpected to be only partial in 2021, and the economy is not projected to reach 2019 GDP levels before 2023. There\nare important downside risks to this baseline scenario, notably a reversal in the so far subdued inflationary dynamics\n(inflation ended 2020 at an annual rate of 36.1 percent, almost 18 p.p. lower than in 2019), which have been held\nback by the exceptional drop in demand and price controls. However, the 2021 budget foresees a reduction in the\nprimary deficit from an estimated 6.5 percent of GDP in 2020 to 4.2 percent in 2021. In addition, the successful\n\n\n1 Fiscal cost of the COVID-19 stimulus package is based on the latest (October 2020) report of the Budget Congressional Office ( _Oficina de Presupuesto del_\n_Congreso_ ). The figure of 3.5 percent of GDP refers to the overall budget outlays to finance COVID-19 related expenditures. https://www.opc.gob.ar/covid19/impacto-financiero-del-covid-19-al-5-de-octubre-2020/.\n2 Fiscal accounts for 2020 are based on National Public Sector cash statistics, which is used as a close proxy of accrued fiscal statistics that are usually\nreleased with some delay in the future. See https://www.economia.gob.ar/onp/estadisticas/.\n3 Source: INDEC labor market statistics.\n4 Source: INDEC poverty statistics.\n\n\nPage 6 of 69\n\nMention: \"National Public Sector cash statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Cash-based fiscal series used as a proxy for accrual accounts because the latter are released late.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001903:10:2", "occurrence_id": "652771d67a214b7abc0ae52d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  dynamic in the last months of 2020. The rebound is\nexpected to be only partial in 2021, and the economy is not projected to reach 2019 GDP levels before 2023. There\nare important downside risks to this baseline scenario, notably a reversal in the so far subdued inflationary dynamics\n(inflation ended 2020 at an annual rate of 36.1 percent, almost 18 p.p. lower than in 2019), which have been held\nback by the exceptional drop in demand and price controls. However, the 2021 budget foresees a reduction in the\nprimary deficit from an estimated 6.5 percent of GDP in 2020 to 4.2 percent in 2021. In addition, the successful\n\n\n1 Fiscal cost of the COVID-19 stimulus package is based on the latest (October 2020) report of the Budget Congressional Office ( _Oficina de Presupuesto del_\n_Congreso_ ). The figure of 3.5 percent of GDP refers to the overall budget outlays to finance COVID-19 related expenditures. https://www.opc.gob.ar/covid19/impacto-financiero-del-covid-19-al-5-de-octubre-2020/.\n2 Fiscal accounts for 2020 are based on National Public Sector cash statistics, which is used as a close proxy of accrued fiscal statistics that are usually\nreleased with some delay in the future. See https://www.economia.gob.ar/onp/estadisticas/.\n3 Source: INDEC labor market statistics.\n4 Source: INDEC poverty statistics.\n\n\nPage 6 of 69\n\nMention: \"INDEC labor market statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official statistical agency series behind the labour-market figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001903:10:2", "occurrence_id": "1760204057d02426af30f382", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  dynamic in the last months of 2020. The rebound is\nexpected to be only partial in 2021, and the economy is not projected to reach 2019 GDP levels before 2023. There\nare important downside risks to this baseline scenario, notably a reversal in the so far subdued inflationary dynamics\n(inflation ended 2020 at an annual rate of 36.1 percent, almost 18 p.p. lower than in 2019), which have been held\nback by the exceptional drop in demand and price controls. However, the 2021 budget foresees a reduction in the\nprimary deficit from an estimated 6.5 percent of GDP in 2020 to 4.2 percent in 2021. In addition, the successful\n\n\n1 Fiscal cost of the COVID-19 stimulus package is based on the latest (October 2020) report of the Budget Congressional Office ( _Oficina de Presupuesto del_\n_Congreso_ ). The figure of 3.5 percent of GDP refers to the overall budget outlays to finance COVID-19 related expenditures. https://www.opc.gob.ar/covid19/impacto-financiero-del-covid-19-al-5-de-octubre-2020/.\n2 Fiscal accounts for 2020 are based on National Public Sector cash statistics, which is used as a close proxy of accrued fiscal statistics that are usually\nreleased with some delay in the future. See https://www.economia.gob.ar/onp/estadisticas/.\n3 Source: INDEC labor market statistics.\n4 Source: INDEC poverty statistics.\n\n\nPage 6 of 69\n\nMention: \"INDEC poverty statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official series behind the poverty estimates cited in the macro-poverty discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001975:10:2", "occurrence_id": "62b0473aacf8f945a7794704", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  this year in Nigeria, 4.0 million ha of land has been</mark>\n<mark>burned (Global Forest Watch). The few remaining patches of vegetation that remain in northern</mark>\n<mark>Nigeria harbor globally and national important biodiversity and are genetic reservoirs for many</mark>\n<mark>species of endangered flora and fauna species which are also important for local livelihoods.</mark>\n<mark>Ecosystems in northern Nigeria important for conservation include national parks, gazetted forests,</mark>\n<mark>wetlands, and oases. All these areas provide important ecosystem services, but have been affected</mark>\n<mark>by varying degrees of degradation, deforestation, encroachment, climate change shocks, and</mark>\n<mark>agricultural invasion. Restoration of some of these important habitats is urgently needed. Natural</mark>\n<mark>ecosystems such as wetlands play particularly important functions in regulation of water flows and</mark>\n<mark>recharge of surface and groundwater and provision of critical ecosystem services to communities in</mark>\n<mark>the northern region. According to FAO’s Global Forest Assessment 2020, only 16,000 ha/year has</mark>\n<mark>been reforested in the country from 2015-2020.</mark>\n\n\n25. **<mark>A consequence of weakened coping strategies in fragile and drought-prone drylands is growing</mark>**\n**<mark>poverty.</mark>** <mark>About 40% of Nigeria’s total population is living below the poverty line,</mark> <sup>28</sup> [^28: Poverty and Inequality in Nigeria: Executive Summary (2019). National Bureau of Statistics, May 2020.] <mark>but poverty is</mark>\n\n\n27 <u>[https://www.unredd.net/documents/un-redd-partner-countries-181/africa\n\nMention: \"Global Forest Watch\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Satellite monitoring behind the 4.0 million hectares burned in Nigeria.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001975:10:2", "occurrence_id": "6ede025b83c7f2782b6d3269", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  this year in Nigeria, 4.0 million ha of land has been</mark>\n<mark>burned (Global Forest Watch). The few remaining patches of vegetation that remain in northern</mark>\n<mark>Nigeria harbor globally and national important biodiversity and are genetic reservoirs for many</mark>\n<mark>species of endangered flora and fauna species which are also important for local livelihoods.</mark>\n<mark>Ecosystems in northern Nigeria important for conservation include national parks, gazetted forests,</mark>\n<mark>wetlands, and oases. All these areas provide important ecosystem services, but have been affected</mark>\n<mark>by varying degrees of degradation, deforestation, encroachment, climate change shocks, and</mark>\n<mark>agricultural invasion. Restoration of some of these important habitats is urgently needed. Natural</mark>\n<mark>ecosystems such as wetlands play particularly important functions in regulation of water flows and</mark>\n<mark>recharge of surface and groundwater and provision of critical ecosystem services to communities in</mark>\n<mark>the northern region. According to FAO’s Global Forest Assessment 2020, only 16,000 ha/year has</mark>\n<mark>been reforested in the country from 2015-2020.</mark>\n\n\n25. **<mark>A consequence of weakened coping strategies in fragile and drought-prone drylands is growing</mark>**\n**<mark>poverty.</mark>** <mark>About 40% of Nigeria’s total population is living below the poverty line,</mark> <sup>28</sup> [^28: Poverty and Inequality in Nigeria: Executive Summary (2019). National Bureau of Statistics, May 2020.] <mark>but poverty is</mark>\n\n\n27 <u>[https://www.unredd.net/documents/un-redd-partner-countries-181/africa\n\nMention: \"Global Forest Assessment 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports only 16,000 hectares reforested per year in Nigeria over 2015–2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001974:20:0", "occurrence_id": "72bc5228c628e8f12471f776", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **Agro-Climatic Resilience in Semi-Arid Landscapes**\n**The World Bank**\n\n**(ACReSAL)**\n\n\nThe following indicators <sup>22</sup> [^22: This is an initial list which will be revised and grouped into PDO and Intermediate indicators during preparation.\nIndicators may be added or dropped at both levels. A detailed results framework (including indicator definitions)\nwill be developed during project preparation.] are proposed to measure key achievements of the PDO:\n\n\na) Land area under sustainable landscape management practices (ha)-corporate indicator;\n\n\nb) Percentage of targeted catchment areas showing an increase in Normalized Difference\n\nVegetation Index (NDVI) <sup>23</sup> [^23: NDVI uses the visible and near-infrared bands of the electromagnetic spectrum to analyze remote sensing\nmeasurements (based on satellite imagery data) to determine the extent to which a target contains live green\nvegetation.], correcting for climate effects (%);\n\n\nc) Land area under Community Managed Natural Regeneration addressing natural\n\nresources overreach restoring and social conflicts (ha);\n\n\nd) Land area under desertification control (ha);\n\n\ne) Net change in agriculture area using improved sustainable practices (ha);\n\n\nf) People (disaggregated by gender) adopting improved climate resilient <sup>24</sup> [^24: See Annex 1 for definitions associated with the Key Results and other parts of the PCN] management\n\nthrough technologies (#);\n\n\ng) Number of project beneficiaries supported through short-term COVID-19 responses\n\n(disaggregated by gender) (#);\n\n\nh) Farmers (disaggregated by gender) gaining access to water for productive use (#);\n\n\ni) Landless youth provided with green jobs (#).\n\n\nFor purposes of this project, sustainable landscape management practices (SLM) refer to a\ncombination of at least two technologies or practices (agronomic, vegetative, structural, and\nmanagement measures) applied to improve land quality and water availability and prevent\ndegradation or restore already degraded landscapes.\n\nMention: \"satellite imagery data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Remote-sensing imagery underlying the NDVI measure used to verify vegetation increase in treated catchments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001975:6:2", "occurrence_id": "c4f274cba00ddae7aefd4b08", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >of soil degradation. Agricultural expansion into forestlands and rangelands reduces access to</mark>\n<mark>valuable forest products and to livestock forage, while also increasing erosion. Overexploitation of</mark>\n<mark>surface and groundwater coupled with the impacts of climate change reduces water availability for</mark>\n<mark>livestock and agriculture. Encroachment of agriculture into traditional pasturelands negatively</mark>\n<mark>impacts pastoralists.</mark>\n\n\n13. **<mark>Climate change exacerbates drylands degradation.</mark>** <mark>Rainfall in northern Nigeria is becoming more</mark>\n<mark>variable, with more frequent extreme events, and temperatures are increasing. The dryland belts of</mark>\n<mark>northern Nigeria are expected to shift southward, hastening desertification. Rainfall variability and</mark>\n<mark>extreme weather events, both flooding and droughts, can be expected to bring increasing pressure</mark>\n<mark>on vulnerable communities who will often be forced to more intensively exploit the natural resources</mark>\n<mark>they depend on, promoting a cycle of further land degradation. Annex 3 has further information on</mark>\n<mark>climate change impacts in the project area.</mark>\n\n\n8 Consultative Group for International Agricultural Research’s (CGIAR) Aridity Index.\n9 The ACReSAL project will promote more resilient dryland management strategies but will not address population growth.\n\n\nOct 09, 2021 Page 7 of 23\n\nMention: \"Aridity Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Classification used to characterise dryland extent and degradation risk in the project area.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002000:18:1", "occurrence_id": "60626f1d57c02759a053cb18", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  three Provincial Operational Units (POU) that will be established\nby the Project (staff members are listed in Section III, Institutional Arrangements). The Project will cover costs related\nto quarterly coordination and meetings amongst the three sectors and those of participating provinces, including\ncollaboration between the PIU and the provincial POUs. Costs related to quarterly/bi-annual meetings of the HD\nProvincial Coordinating Committee (HDPCC) will also be supported by this component.\n\n47. **This component will also support monitoring of activities.** The national information systems in place will also\nbe the primary basis for routine reporting against results framework indicators. The Project will work with the POUs\nand PIUs to assess enhancements to facilitate reporting and monitoring of activities in districts affected by IDPs and\ninsecurity. Key indicators collected as part of routine data collection will be reviewed and discussed, considering\nwhether additional sources such as monitoring of food prices and other indicators can serve as proxies to interventions\nimplemented. In addition, the Project will consider whether elements of geo-enabled monitoring supervision (GEMS),\nwhich has proven useful to enhance supervision in fragile and conflict affected settings can be utilized for remote\nsupervision, monitoring of certain results and real-time risk.\n\n\n48. **The availability of relevant measures of human capital, and its determinants, at regional level will be**\n**enhanced.** The Human Capital Index (HCI) currently allows for comparison for 103 countries world-wide, but it does not\nallow to depict subnational variations and to inform decisions. Under the Project, available data from ongoing and\nrecent surveys will be utilized, where possible, to quantify the 6 components of the HCI, disaggregated by gender. <sup>56</sup>\nWhere direct equivalents are not available, additional surveys/data collection will be considered to complement limited\navailability of information for certain components. These indicators will reflect the reality of the Northern region, and\ngender and provincial dis\n\nMention: \"Human Capital Index\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"analyze\", \"summary\": \"Comparative index across 103 countries that cannot show subnational variation the project will fill.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002000:3:1", "occurrence_id": "9c1aff89f0321b47f3d8e5e1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  are not enrolled in school neither attended any type of post-basic\neducation programs (35.1 percent in Cabo Delgado; 31.6 percent in Niassa and 30.6 percent in Nampula). <sup>8</sup> [^8: ESA, 2019.] In addition,\nthe average age of students in third grade was over two years above the expected age of 8 years old (11 in Cabo\nDelgado; 10.8 in Nampula; 10.2 in Niassa). Consequently, <mark>over ninety percent of 10-year-old children in the Northern</mark>\n<mark>provinces are unable to read and understand a basic text. F</mark> urthermore, gender disparities in learning outcomes are\nalso prevalent in the three Northern provinces. In the 2018 Service Delivery Indicator survey, fourth grade female\nstudents scored 25.4 percent in Math and 14.5 percent in Portuguese compared to 29.9 percent and 25 percent reached\nby their male colleagues, respectively. <sup>9</sup> [^9: World Bank. Education Service Delivery in Mozambique: A second Round of the Service Delivery Indicators Survey. 2018.] Progression rates to secondary education and performance are also lower and\nchildren can only expect to complete 7.4 years of education by the age of 18. At older ages, access to training and\nvocational training (TVET) is also limited. <sup>10</sup> [^10: UNESCO UIS Education Statistics. 2017. The gross enrollment ratio in secondary education is even lower than the average for\nSub-Saharan Africa (43).] As a result, there is a large stock both of unskilled workers in the labor force\nand unskilled youth entering the labor market. <sup>11</sup> [^11: World Bank, 2015. Skills and employability in Mozambique: Implications for Education and Training Policies. Cho and Feda.]\n\n\n4. **The discovery of natural gas reserves in Northern\n\nMention: \"2018 Service Delivery Indicator survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Supplies fourth-grade gender gaps in maths and Portuguese across the northern provinces.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002000:8:3", "occurrence_id": "0f4738bcb4946f30ad84825c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /files/files/publications/reports-issue-briefs/COSACA_Rapid-Gender-Protection-Analysis-Cabo-Delgado-Mozambique_June-2019.pdf)</u>\n<u>[Mozambique_June-2019.pdf](https://www.care-international.org/files/files/publications/reports-issue-briefs/COSACA_Rapid-Gender-Protection-Analysis-Cabo-Delgado-Mozambique_June-2019.pdf)</u>\n[43 OCHA. Protection Cluster Status. Mach 2021. https://reports.unocha.org/en/country/mozambique/card/4RnnbzazNV/](https://reports.unocha.org/en/country/mozambique/card/4RnnbzazNV/)\n44 The demographic dividend is the accelerated economic growth that may result from a decline in a country’s birth and death rates\nand the subsequent change in the age structure of the population. In Mozambique, the working-age population will grow at a rate\nof 3.9 percent per year between now and 2050 (compared to the predicted average of 3 percent per year for Sub-Saharan Africa\nas a whole)\n45 Preliminary data from the Mozambique 2017 Census.\n\n\n46 World Bank. 2018. Mozambique Poverty Assessment.\n\n\n47 World Bank. 2016. Searching for the Demographic Dividend in Mozambique: An Urgent Agenda\n\n\nSep 08, 2021 Page 9 of 27\n\nMention: \"Mozambique 2017 Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Preliminary census data behind the 3.9 percent annual working-age population growth rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002034:4:1", "occurrence_id": "caf6f4782681174c8189274a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: effective community response to COVID-19.** Approximately 70 percent of Timor-Leste’s population\nlives in rural areas, and rural health care facilities are under-resourced: the staff lack training in\nmaternal health and newborn care, and facilities often lack access to running water, reliable\nelectricity, medicines and supplies, 50 per cent of rural health posts in Timor-Leste have no access to\nwater[3].\n14. **While comprehensive plans and protocols are in place, implementation at the subnational level is**\n**lagging on several fronts.** There has not yet been adequate implementation of simulation exercises,\nbehavior change communication for better risk mitigation, community empowerment and capacity\nbuilding, and efforts to better connect health and nutrition services with communities. Although the\nMoH assessment of RCCE Interventions[4] found that 90 percent of respondents wash their hands\nwith soap or alcohol-based cleaner to prevent COVID-19 infection, no information is presented on for\nexample any Knowledge, Attitude and Practice shifts that would evidence a sustained behavior\nchange. According to CARE’s observations in the field, although COVID-19 plans and protocols exist at\nnational and sub-national down to municipal levels COVID-19 task forces, these plans and protocols\ndo not exist, or are not known, at Suco level, nor are they integrated in the disaster plans for most\nmunicipal Disaster Management Committees. There is inadequate health information available at the\ncommunity level in general. For example, child growth promotion messages are not reaching the\nmost vulnerable population with regards to healthy behavior and adequate feeding practices which\ncould build higher tolerance for future epidemics and strengthen preparedness (World Bank nutrition\nsituation report 2016).\n15. **These gaps and remaining challenges are a priority for funding through the JSDF.** It would\ncomplement other ongoing financing under the World Bank’s Pandemic Emergency Financing Facility\n(PEF) grant which finances other identified gaps for\n\nMention: \"MoH assessment of RCCE Interventions\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Assessment reporting 90 percent handwashing compliance, though without evidence of knowledge-attitude-practice shifts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002029:28:1", "occurrence_id": "cac4254319f11dbb74ce051d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Improvement Works (THIMO+) approach will be used for the works on rural roads and culverts,\nas well as for drainage systems to provide jobs for youth, IDPs and women.\n\n\n54. **Improved road design standards and data for climate change adaptation** . The hydraulic sizing of\nmedium‐size drainage structures (that is, bridges and culverts) at the engineering design stage will use hydrologic\ndata based on climate change projections and the most recent rainfall data developed by Burkina Faso’s weather\nforecast agency. Furthermore, maps of flood prone maps will be used for better identification of the location of\nfuture drainage structures.\n\n\n55. **Digital connectivity improvements for skills development and government functionality.** The 2G\ncoverage rate of the pre‐selected communes is around 80 percent, whereas the 3G coverage rate is about 30\npercent. Only two pre‐identified communes have fiber optic connection; the other communes are connected\nthrough radio beams. Technical studies will be conducted in partnership with the three operators present in\nBurkina Faso. The National Agency in charge of the promotion of information and communication technology (ICT)\n(ANPTIC), with a coordinating role of the Ministry in charge of ICT, will determine the modalities to deploy and to\nmake available to operators the dark fiber optic alongside the roads. This will include chambers to allow operators\nto branch out and serve 3G radio sites to cover localities alongside the roads, as well as a connection to selected\ngovernment sites. The resulting connectivity will allow the establishment of digital centers for young people in\neach commune to promote human development (Sub‐component 1.1) and contribute to the shaping of a resilient\nsociety. These centers will promote the discovery and development of new skills such as digital literacy, the use\nof software, and computer and telephone repair which should increase job opportunities.\n\n\n**Sub‐component 2.2: Support Urban Resilience**\n\n\n56. This sub‐component\n\nMention: \"hydrologic\ndata\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Hydrological data from climate projections used to size bridges and culverts at design stage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002029:28:1", "occurrence_id": "d09c78f2c27ae96f45730919", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Improvement Works (THIMO+) approach will be used for the works on rural roads and culverts,\nas well as for drainage systems to provide jobs for youth, IDPs and women.\n\n\n54. **Improved road design standards and data for climate change adaptation** . The hydraulic sizing of\nmedium‐size drainage structures (that is, bridges and culverts) at the engineering design stage will use hydrologic\ndata based on climate change projections and the most recent rainfall data developed by Burkina Faso’s weather\nforecast agency. Furthermore, maps of flood prone maps will be used for better identification of the location of\nfuture drainage structures.\n\n\n55. **Digital connectivity improvements for skills development and government functionality.** The 2G\ncoverage rate of the pre‐selected communes is around 80 percent, whereas the 3G coverage rate is about 30\npercent. Only two pre‐identified communes have fiber optic connection; the other communes are connected\nthrough radio beams. Technical studies will be conducted in partnership with the three operators present in\nBurkina Faso. The National Agency in charge of the promotion of information and communication technology (ICT)\n(ANPTIC), with a coordinating role of the Ministry in charge of ICT, will determine the modalities to deploy and to\nmake available to operators the dark fiber optic alongside the roads. This will include chambers to allow operators\nto branch out and serve 3G radio sites to cover localities alongside the roads, as well as a connection to selected\ngovernment sites. The resulting connectivity will allow the establishment of digital centers for young people in\neach commune to promote human development (Sub‐component 1.1) and contribute to the shaping of a resilient\nsociety. These centers will promote the discovery and development of new skills such as digital literacy, the use\nof software, and computer and telephone repair which should increase job opportunities.\n\n\n**Sub‐component 2.2: Support Urban Resilience**\n\n\n56. This sub‐component\n\nMention: \"rainfall data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Recent national weather-agency rainfall observations combined with projections for drainage design.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002029:28:1", "occurrence_id": "0b4d34d5821be4195fb64a43", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Improvement Works (THIMO+) approach will be used for the works on rural roads and culverts,\nas well as for drainage systems to provide jobs for youth, IDPs and women.\n\n\n54. **Improved road design standards and data for climate change adaptation** . The hydraulic sizing of\nmedium‐size drainage structures (that is, bridges and culverts) at the engineering design stage will use hydrologic\ndata based on climate change projections and the most recent rainfall data developed by Burkina Faso’s weather\nforecast agency. Furthermore, maps of flood prone maps will be used for better identification of the location of\nfuture drainage structures.\n\n\n55. **Digital connectivity improvements for skills development and government functionality.** The 2G\ncoverage rate of the pre‐selected communes is around 80 percent, whereas the 3G coverage rate is about 30\npercent. Only two pre‐identified communes have fiber optic connection; the other communes are connected\nthrough radio beams. Technical studies will be conducted in partnership with the three operators present in\nBurkina Faso. The National Agency in charge of the promotion of information and communication technology (ICT)\n(ANPTIC), with a coordinating role of the Ministry in charge of ICT, will determine the modalities to deploy and to\nmake available to operators the dark fiber optic alongside the roads. This will include chambers to allow operators\nto branch out and serve 3G radio sites to cover localities alongside the roads, as well as a connection to selected\ngovernment sites. The resulting connectivity will allow the establishment of digital centers for young people in\neach commune to promote human development (Sub‐component 1.1) and contribute to the shaping of a resilient\nsociety. These centers will promote the discovery and development of new skills such as digital literacy, the use\nof software, and computer and telephone repair which should increase job opportunities.\n\n\n**Sub‐component 2.2: Support Urban Resilience**\n\n\n56. This sub‐component\n\nMention: \"maps of flood prone maps\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Flood-prone mapping used to locate future drainage structures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002037:52:2", "occurrence_id": "8cefabaf89e8464a89098291", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a wide, but expected,\nset of stakeholders including policy makers, ministry officials from MENFOP, MT, MOF, etc., development\npartners, private sector employers, and other stakeholders to the skills development, employment, and jobs\nsector. The preparation team also consulted with students and trainees, but this was more limited in scope and\nis something that the Project will continue with during implementation and will gather information on student\nand employer satisfaction, and other information obtained through graduate tracking surveys, etc.  The Project\nmandates the establishment of a Grievance Redress Mechanism and individuals will receive the necessary training\n\n\n59 https://www.communitysystemsfoundation.org/uploads/1/9/9/2/19920247/djibouti_gbv_mis.pdf\n60 Even in more advanced and liberal societies there is significant underreporting of such events.\n61 Some literature on this treats GBV and FGM/C as different issues, although here will treat the FGM/C as a subset of the types of GBV.\n62. The prevalence of FGM among women aged 15-49 in the capital region of Djibouti is 92.9 percent. The prevalence in the rest of the country is 94.9\npercent. Women aged 15-49 who live in rural areas are more like to undergo FGM/C (95.5 percent) than those who live in urban areas (93.1 percent).\nhttps://www.28toomany.org/country/djibouti/28 Too Many. The latest available data for the World Bank refer to 94.4% of prevalence.\nhttps://data.worldbank.org/indicator/SH.STA.FGMS.ZS?locations=DJ\nFemale genital mutilation prevalence (percent) - Djibouti | Data\nFemale genital mutilation prevalence (percent) - Djibouti from The World Bank: Data\n63 Djibouti Gender Justice and the Law (2018).\n\n\nPage 48\n\nMention: \"graduate tracking surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Surveys tracking trainee outcomes, continued under the project to evidence placement and satisfaction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002053:2:0", "occurrence_id": "7876f44e5432cce853969585", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPathways towards Decarbonizing Transport in Diverse Regions in China (P175561)\n\n\n\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n**China’s rapid economic growth took place alongside its structural and spatial transformation** : from primary to\nmanufacturing and service economies, from agrarian to urbanized society, and from a closed economy to a major\nparticipant in global trade and value chains. The share of primary sectors of the GDP decreased from 28.2 percent in 1978\nto 9.8 percent in 2018, while that of service sector increased from 23.9 percent to 52.2 percent during the same period.\nAs of 2018, 59.6 percent of the total population lived in urban areas in China, a dramatic increase from 17.9 percent in\n1978 when the reform and opening policy initiated. International trade increased from US$20.64 billion in 1978 to\nUS$4.62 trillion in 2018. <sup>1</sup> [^1: Ministry of Finance (http://zhs.mofcom.gov.cn) and WITS (https://wits.worldbank.org/)] Such transformation has had a profound impact on the people’s lives, with 770 million people\nlifted out of poverty over the last 40 years.\n\n\n**_Figure 1. China’s carbon emission alongside GDP growth, industrialization and motorization_**\n\n\nSources: National Bureau of Statistics, Global Carbon Budget 2019; *industrialization is calculated as share of\n\nmanufacturing and service of GDP\n\n\n**On the other hand, the increasingly urbanized and industrialized China meant a sharp rise in energy use and emissions**\n**of greenhouse gases (GHG) and other pollutants** . According to the International Energy Agency (IEA), China’s total\nCarbon Dioxide (CO2) emissions grew from 3,540 Mt in 2002 to 9,574 Mt in 2018, at an annual growth rate of 6.4 percent.\nWith about\n\nMention: \"Global Carbon Budget 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Emissions series plotted with national statistics in the figure on China's emissions and growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002042:19:1", "occurrence_id": "c3f55069cf53e857648a08ef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br> <br>127.9a <br>59.1<br> <br>69.1<br>38.1<br> <br>9%<br> <br>28.5%<br>22.3%|<br>DHS 2017<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>NDHS 2017<br> <br>ENNS 2019<br>ENNS 2019|\n|**Agriculture** <br>Household food security<br>Proportion of food insecure households|<br> <br>64.1|<br> <br>ENNS 2019|\n|**Water and sanitation**<br>% of household with access to improved drinking water<br>% of households with complete basic sanitation|<br>72.6<br>75.1|<br>FHSIS 2019<br>FHSIS 2019|\n|**Early learning and development**<br>% of target households participating in family development sessions (FDSs)|TBD|TBD|\n|**Social protection**<br>% of households covered by Pantawid Pamilyang Pilipino Program (4Ps)|<br>18.7|<br>Administrative data|\n\n\n_Note:_ a. This has been clarified with the Department of Health (DOH) and its explanation is that coverage during\nemergency situations may have been inadvertently added, as doses in those settings are based on vitamin A\ncapsules dispensed.\n\n15. **Supply-side** **barriers have potentially hindered the scale-up and coverage of high-impact health**\n**and nutrition interventions.\n\nMention: \"DHS 2017\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Named in the source column for the table's health and nutrition baseline values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002042:19:1", "occurrence_id": "5489b0d36aa4ca5f1ebe192d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br> <br>127.9a <br>59.1<br> <br>69.1<br>38.1<br> <br>9%<br> <br>28.5%<br>22.3%|<br>DHS 2017<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>NDHS 2017<br> <br>ENNS 2019<br>ENNS 2019|\n|**Agriculture** <br>Household food security<br>Proportion of food insecure households|<br> <br>64.1|<br> <br>ENNS 2019|\n|**Water and sanitation**<br>% of household with access to improved drinking water<br>% of households with complete basic sanitation|<br>72.6<br>75.1|<br>FHSIS 2019<br>FHSIS 2019|\n|**Early learning and development**<br>% of target households participating in family development sessions (FDSs)|TBD|TBD|\n|**Social protection**<br>% of households covered by Pantawid Pamilyang Pilipino Program (4Ps)|<br>18.7|<br>Administrative data|\n\n\n_Note:_ a. This has been clarified with the Department of Health (DOH) and its explanation is that coverage during\nemergency situations may have been inadvertently added, as doses in those settings are based on vitamin A\ncapsules dispensed.\n\n15. **Supply-side** **barriers have potentially hindered the scale-up and coverage of high-impact health**\n**and nutrition interventions.\n\nMention: \"FHSIS 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Routine health information system supplying repeated baseline values across the table's rows.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002042:19:1", "occurrence_id": "82a7cfb9f41118d7900474d8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br> <br>127.9a <br>59.1<br> <br>69.1<br>38.1<br> <br>9%<br> <br>28.5%<br>22.3%|<br>DHS 2017<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>NDHS 2017<br> <br>ENNS 2019<br>ENNS 2019|\n|**Agriculture** <br>Household food security<br>Proportion of food insecure households|<br> <br>64.1|<br> <br>ENNS 2019|\n|**Water and sanitation**<br>% of household with access to improved drinking water<br>% of households with complete basic sanitation|<br>72.6<br>75.1|<br>FHSIS 2019<br>FHSIS 2019|\n|**Early learning and development**<br>% of target households participating in family development sessions (FDSs)|TBD|TBD|\n|**Social protection**<br>% of households covered by Pantawid Pamilyang Pilipino Program (4Ps)|<br>18.7|<br>Administrative data|\n\n\n_Note:_ a. This has been clarified with the Department of Health (DOH) and its explanation is that coverage during\nemergency situations may have been inadvertently added, as doses in those settings are based on vitamin A\ncapsules dispensed.\n\n15. **Supply-side** **barriers have potentially hindered the scale-up and coverage of high-impact health**\n**and nutrition interventions.\n\nMention: \"NDHS 2017\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Nutrition-specific survey cited as the source for the nutrition baseline values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002042:19:1", "occurrence_id": "03713246745a20e6747ee3da", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br> <br>127.9a <br>59.1<br> <br>69.1<br>38.1<br> <br>9%<br> <br>28.5%<br>22.3%|<br>DHS 2017<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>NDHS 2017<br> <br>ENNS 2019<br>ENNS 2019|\n|**Agriculture** <br>Household food security<br>Proportion of food insecure households|<br> <br>64.1|<br> <br>ENNS 2019|\n|**Water and sanitation**<br>% of household with access to improved drinking water<br>% of households with complete basic sanitation|<br>72.6<br>75.1|<br>FHSIS 2019<br>FHSIS 2019|\n|**Early learning and development**<br>% of target households participating in family development sessions (FDSs)|TBD|TBD|\n|**Social protection**<br>% of households covered by Pantawid Pamilyang Pilipino Program (4Ps)|<br>18.7|<br>Administrative data|\n\n\n_Note:_ a. This has been clarified with the Department of Health (DOH) and its explanation is that coverage during\nemergency situations may have been inadvertently added, as doses in those settings are based on vitamin A\ncapsules dispensed.\n\n15. **Supply-side** **barriers have potentially hindered the scale-up and coverage of high-impact health**\n**and nutrition interventions.\n\nMention: \"ENNS 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Nutrition survey behind the food-insecurity and water and sanitation baseline figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002042:19:1", "occurrence_id": "bc61c01967f5b618c2171d84", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br> <br>127.9a <br>59.1<br> <br>69.1<br>38.1<br> <br>9%<br> <br>28.5%<br>22.3%|<br>DHS 2017<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>FHSIS 2019<br>FHSIS 2019<br> <br>NDHS 2017<br> <br>ENNS 2019<br>ENNS 2019|\n|**Agriculture** <br>Household food security<br>Proportion of food insecure households|<br> <br>64.1|<br> <br>ENNS 2019|\n|**Water and sanitation**<br>% of household with access to improved drinking water<br>% of households with complete basic sanitation|<br>72.6<br>75.1|<br>FHSIS 2019<br>FHSIS 2019|\n|**Early learning and development**<br>% of target households participating in family development sessions (FDSs)|TBD|TBD|\n|**Social protection**<br>% of households covered by Pantawid Pamilyang Pilipino Program (4Ps)|<br>18.7|<br>Administrative data|\n\n\n_Note:_ a. This has been clarified with the Department of Health (DOH) and its explanation is that coverage during\nemergency situations may have been inadvertently added, as doses in those settings are based on vitamin A\ncapsules dispensed.\n\n15. **Supply-side** **barriers have potentially hindered the scale-up and coverage of high-impact health**\n**and nutrition interventions.\n\nMention: \"Administrative data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Programme records supplying the 18.7 percent coverage of the conditional cash transfer.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002042:47:0", "occurrence_id": "4cece77c4ddf59ccaea0aa23", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nThe Philippines Multisectoral Nutrition Project (P175493)\n\n\nfive years old; assisting Barangay Health Centers in the delivery of essential nutrition and MCH services in\nprimary health facilities; and delivering health and nutrition-related SBCC to communities and direct\nproject beneficiaries.\n\n\n**B. Results Monitoring and Evaluation Arrangements**\n\n\n87. **The results framework indicators for the project shall be monitored using a combination of**\n**administrative and survey data.** The project’s MIS will serve as the primary source of administrative data\nfor tracking process- and output-level indicators. The project’s MIS will be harmonized with other data\ninformation systems, including the Kalahi-CIDSS Project Information Management, NNC’s ECCD First 1,000\nDays Reporting System, Pantawid Pamilyang Information System, and the DOH FHSIS. In addition to the\nproject’s MIS, the project will strengthen existing reporting systems at the LGU levels to improve\ntimeliness and accuracy of data on nutrition outputs and outcomes. Progress reports will include key\ninformation on project activities, beneficiaries, fiduciary, and E&S management. The PMOs, in close\ncoordination with the NTWG, will review monitoring data to access implementation progress and, where\nnecessary, propose remedial actions. Outcome- and impact-level indicators are expected to be monitored\nthrough existing periodic household surveys, such as the Department of Science and Technology (DOST)\nNNSs and the PSA Agriculture and Food Consumption Surveys, in the target provinces and the rest of the\ncountry. More crucially, routine information systems, such as the DOH FHSIS and the NNC’s OPT (for\ngrowth monitoring), will be strengthened and harmonized for LGU use in their LNAP. The project results\nframework is provided in section VII.\n\n\n88. **Due to the paucity of data on some of indicators in the results framework, and especially for**\n\nMention: \"NNSs\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Periodic nutrition surveys designated for monitoring outcome and impact indicators in target provinces.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002042:47:0", "occurrence_id": "818ed951559b636e4ce1a5ca", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nThe Philippines Multisectoral Nutrition Project (P175493)\n\n\nfive years old; assisting Barangay Health Centers in the delivery of essential nutrition and MCH services in\nprimary health facilities; and delivering health and nutrition-related SBCC to communities and direct\nproject beneficiaries.\n\n\n**B. Results Monitoring and Evaluation Arrangements**\n\n\n87. **The results framework indicators for the project shall be monitored using a combination of**\n**administrative and survey data.** The project’s MIS will serve as the primary source of administrative data\nfor tracking process- and output-level indicators. The project’s MIS will be harmonized with other data\ninformation systems, including the Kalahi-CIDSS Project Information Management, NNC’s ECCD First 1,000\nDays Reporting System, Pantawid Pamilyang Information System, and the DOH FHSIS. In addition to the\nproject’s MIS, the project will strengthen existing reporting systems at the LGU levels to improve\ntimeliness and accuracy of data on nutrition outputs and outcomes. Progress reports will include key\ninformation on project activities, beneficiaries, fiduciary, and E&S management. The PMOs, in close\ncoordination with the NTWG, will review monitoring data to access implementation progress and, where\nnecessary, propose remedial actions. Outcome- and impact-level indicators are expected to be monitored\nthrough existing periodic household surveys, such as the Department of Science and Technology (DOST)\nNNSs and the PSA Agriculture and Food Consumption Surveys, in the target provinces and the rest of the\ncountry. More crucially, routine information systems, such as the DOH FHSIS and the NNC’s OPT (for\ngrowth monitoring), will be strengthened and harmonized for LGU use in their LNAP. The project results\nframework is provided in section VII.\n\n\n88. **Due to the paucity of data on some of indicators in the results framework, and especially for**\n\nMention: \"PSA Agriculture and Food Consumption Surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household consumption surveys designated for monitoring nutrition outcomes alongside the nutrition surveys.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002067:57:1", "occurrence_id": "9798fc2bf24843f6468d60cb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in particular in countries with a bigger\nland mass, damage caused by rain manifests itself in the form of riverine floods, often downstream of the\narea where the rain was observed. For these forms of water-related damage, a new run-off module will\nbe created. This additional feature will not be available for the 2021/2022 policy year but will be presented\nin the course of the year to some CCRIF SPC members.\n\n**Agricultural Drought Model**\n\n4. CCRIF SPC is also in the process of developing a new drought model for agricultural losses. It is\nbased on a structure of physically based triggers that account for precipitation (or lack of) and vegetation\nin order to ensure consistency with the physical phenomena that cause droughts that have impact on\nagricultural production. The models are calibrated against historical crop yield data provided by the United\nNations Food and Agriculture Organization (FAO) and validated against historical reports of droughts as\nwell for development of a financial product.\n\n**WeMAp Web platform**\n\n\n53 The XSR 2.5 model uses data from two WRF weather forecast model configurations and the low-orbiter satellite-based\nprecipitation model CMORPH (Climate Prediction Center Morphing Technique).\n\n\nPage 54 of 55\n\nMention: \"historical crop yield data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Long yield series used to calibrate the drought index models behind the insurance product.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002085:76:1", "occurrence_id": "bc9aafb1d1f64ffa547d9dfe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  humana.** La respuesta de la biodiversidad a dichos procesos se\ncuantifica empleando el sistema de medición de la abundancia media de especies <sup>57</sup> [^57: Indica la abundancia media de especies (AMS) originales en condiciones alteradas en comparación con su abundancia\nen un hábitat no alterado (donde AMS = 1 indica un ecosistema totalmente intacto, y AMS = 0 indica un ecosistema\ntotalmente destruido), _B-INTACT Guidelines_ (2020).] y datos\ngeorreferenciados de los emplazamientos. Esta información se incluye en el análisis económico y financiero\nasumiendo que, de acuerdo con las publicaciones sobre los valores de los servicios ecosistémicos, se puede\nasignar un valor monetario conservador al indicador de la abundancia media de especies por hectárea <sup>58</sup> [^58: De Groot, R. y otros (2012), “Global estimates of the value of ecosystems and their services in monetary units”\n(Estimaciones mundiales del valor de los ecosistemas y sus servicios en unidades monetarias), _Ecosystem Services_,\n1(1): 50-61.] . Se\ncalcula que el valor social de la pérdida de biodiversidad que se evitaría a través de la intervención del\nproyecto asciende a USD 30 millones (USD 1,5 millones por año) considerando la pérdida de biodiversidad\nevitada en 13 970 hectáreas en cuatro AP nacionales (el Parque Nacional Traslasierra, el Parque Nacional\nNahuel Huapi, el Parque Nacional Calilegua y el Parque Nacional Aconquija), donde se podrían identificar\nmejoras de las condiciones en emplazamientos específicos para controlar los riesgos relacionados con la tala\ny la biodiversidad.\n3. **Todos los modelos evaluados eran viables desde el punto de vista financiero, con una tasa interna**\n**de rentabilidad financiera (TIRF) que oscilaba entre el 13 % (modelo de gestión forestal y carpintería en la**\n**Patagonia) y el 63 % (modelo de ecoturismo en la Patagonia).\n\nMention: \"datos\ngeorreferenciados de los emplazamientos\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Georeferenced site locations combined with abundance measurements to value ecosystem services in the analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002067:12:1", "occurrence_id": "b4c33420681511b655de194a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  than\nUS$74.8 billion. <sup>2</sup> In 1998, Hurricane Mitch caused over 9,000 deaths, directly affected over 3.5 million\npeople, and resulted in more than US$9.8 billion (in today’s value) in damages in Nicaragua, Honduras,\nGuatemala, El Salvador, and Costa Rica. <sup>3</sup> In the Caribbean, damage from Hurricane Maria, which passed\ndirectly over Dominica in 2017, resulted in total economic damages and losses of US$380 million,\nequivalent to 226 percent of its 2016 GDP. These large-scale catastrophic events often result in significant\nnegative impacts on the countries’ economies <sup>4</sup> and efforts to reduce poverty. <sup>5</sup> Government contingent\nliabilities directly related to the education, health, infrastructure, transport and water sectors, and\nindirectly related to agriculture and housing, often incur the most damage—subsequently contributing to\n\n\n1 The study reflects the direct impacts (direct losses and fatalities) and identified the following rankings: Honduras (number 1),\nHaiti (number 3), Nicaragua (number 4), and Guatemala (number 9). Global Climate Risk Index 2017.\n2 Daniell JE, Khazai B, Wenzel F, Vervaeck A (2011) The CATDAT damaging earthquakes database. Nat Hazards Earth Syst Sci\n11:2235–2251\n3 Economic Commission for Latin America and the Caribbean, (1999), Central America: Assessment of the damage caused\nHurricane Mitch 1998 – implications for economic and social development and for the environment\nhttps://repositorio.cepal.org/bitstream/handle/11362/25513/LCmexL375eng_en.pdf?sequence=1&isAllowed=y\n4 Since 1980, nine countries in Central America and the Caribbean have experienced a\n\nMention: \"CATDAT damaging earthquakes database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Earthquake database underpinning the hazard rankings that place Honduras first.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002070:13:1", "occurrence_id": "d2b59e6baa56559cf46fa129", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  jobs in 2017 and continues to be important in the**\n**poorer and more rural parts of the country, which are most vulnerable to climate risks.** Approximately 41\npercent of the total population live in rural areas, and the majority of those living in those areas rely partly on\nagriculture for their livelihoods. Subsistence agriculture makes up 73 percent of employment in rural areas. <sup>4</sup> [^4: Geostat. 2020. Based on International Labour Organization (ILO) methodology.]\nAlmost 80 percent of rural farmers operate less than 1 hectare (ha) of agricultural land. Most smallholdings\nproduce crops primarily for subsistence purposes and lack direct commercial potential. Productivity is low and\nstagnant for most crop and livestock products, both in absolute terms and relative to comparator countries.\nPresent and future climate change pose further risks to production and livelihoods for these marginal groups. Past\ndroughts (a severe event occurred in 2000) caused wheat yields to drop by more than half.\n\n\n7. **According to the most recent agricultural census conducted in 2014, the share of commercial farms**\n**producing higher-value crops for export remains low** . Forward and backward links with input suppliers and the\nagro-processing sector are weak, although their improvement would have a positive impact on agriculture\nmodernization, value chain development, and competitiveness. Despite the apparent limitations of smallholder\nfarms, a small but increasing number of medium-size and larger commercially oriented producers and agribusiness enterprises are driving the development of domestic market and export-oriented value chains (World\nBank 2022). <sup>5</sup> [^5: World Bank. 2022. Agriculture, Water, and Land Policies to Scale Up Sustainable Agri-Food Systems in Georgia: Synthesis\nReport and Way Forward. Washington, DC: World Bank.] From 2010 to 2020, the value of exports of agricultural food products, especially high-value\ncommodities such as wine, hazelnuts, fruits, and vegetables, more than doubled, while imports remained stable.\nAs\n\nMention: \"agricultural census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"2014 census showing the low share of commercial farms producing higher-value export crops.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002070:29:0", "occurrence_id": "1cc542515a742f40d1ddda7d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGeorgia Resilient Agriculture, Irrigation, and Land Project (P175629)\n\n\n(a) **Operationalization of the LIS** including update of the land balance database and report; the LIS should\n\nbe connected and interoperable with the HAIC, the NAPR Immovable Property Registration System\n(IPRS), the NSDI, and its implementation would be piloted in selected project areas. The LIS will also\nincorporate the results of the assessments of needs, design and piloting of the agricultural mass land\nvaluation methodology and system.\n\n(b) **Enhancement of the Farm Registry for Georgia** ;\n\n\n(c) **Support to the preparation of the Sustainable Land Management (SLM) strategy and National Land**\n\n**Consolidation (NLC) strategies** and piloting of the NLC strategy in the GRAIL Project areas;\n\n\n(d) **Redesign of methodologies of land balance and inventory and state agricultural land management**\n\n**activities**, leveraging good international practices and their implementation in selected areas, such as use\nof remote sensing technologies for creating and monitoring land use, land cover data and the creation\nand monitoring of the soil quality database; and\n\n\n(e) **Preparation and implementation of training and capacity building** for the staff of the LMA, NASP, and\n\nother relevant stakeholders’ potential partners and users of the LIS.\n\n\n49. **It is expected that the above activities, will contribute to the activation of agricultural land markets** .\nThey also will facilitate investments in agri-businesses and create opportunities for additional income generation\nfor small landholders.\n\n\n50. **Subcomponent 2.2: Enhancement of the land administration service delivery and building digital**\n**governance infrastructure (US$10 million).** This subcomponent will finance enhancement of the NAPR IPRS and\noperationalization of the NSDI\n\nMention: \"land balance database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Land balance database and report to be updated as part of operationalising the land information system.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002070:29:0", "occurrence_id": "71b8bb0d95eea649c2a922f5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGeorgia Resilient Agriculture, Irrigation, and Land Project (P175629)\n\n\n(a) **Operationalization of the LIS** including update of the land balance database and report; the LIS should\n\nbe connected and interoperable with the HAIC, the NAPR Immovable Property Registration System\n(IPRS), the NSDI, and its implementation would be piloted in selected project areas. The LIS will also\nincorporate the results of the assessments of needs, design and piloting of the agricultural mass land\nvaluation methodology and system.\n\n(b) **Enhancement of the Farm Registry for Georgia** ;\n\n\n(c) **Support to the preparation of the Sustainable Land Management (SLM) strategy and National Land**\n\n**Consolidation (NLC) strategies** and piloting of the NLC strategy in the GRAIL Project areas;\n\n\n(d) **Redesign of methodologies of land balance and inventory and state agricultural land management**\n\n**activities**, leveraging good international practices and their implementation in selected areas, such as use\nof remote sensing technologies for creating and monitoring land use, land cover data and the creation\nand monitoring of the soil quality database; and\n\n\n(e) **Preparation and implementation of training and capacity building** for the staff of the LMA, NASP, and\n\nother relevant stakeholders’ potential partners and users of the LIS.\n\n\n49. **It is expected that the above activities, will contribute to the activation of agricultural land markets** .\nThey also will facilitate investments in agri-businesses and create opportunities for additional income generation\nfor small landholders.\n\n\n50. **Subcomponent 2.2: Enhancement of the land administration service delivery and building digital**\n**governance infrastructure (US$10 million).** This subcomponent will finance enhancement of the NAPR IPRS and\noperationalization of the NSDI\n\nMention: \"Farm Registry for Georgia\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"National farm registry whose enhancement is a named component of the land information reform.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002070:29:0", "occurrence_id": "847aa3bb0cdbb020f41e7c71", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGeorgia Resilient Agriculture, Irrigation, and Land Project (P175629)\n\n\n(a) **Operationalization of the LIS** including update of the land balance database and report; the LIS should\n\nbe connected and interoperable with the HAIC, the NAPR Immovable Property Registration System\n(IPRS), the NSDI, and its implementation would be piloted in selected project areas. The LIS will also\nincorporate the results of the assessments of needs, design and piloting of the agricultural mass land\nvaluation methodology and system.\n\n(b) **Enhancement of the Farm Registry for Georgia** ;\n\n\n(c) **Support to the preparation of the Sustainable Land Management (SLM) strategy and National Land**\n\n**Consolidation (NLC) strategies** and piloting of the NLC strategy in the GRAIL Project areas;\n\n\n(d) **Redesign of methodologies of land balance and inventory and state agricultural land management**\n\n**activities**, leveraging good international practices and their implementation in selected areas, such as use\nof remote sensing technologies for creating and monitoring land use, land cover data and the creation\nand monitoring of the soil quality database; and\n\n\n(e) **Preparation and implementation of training and capacity building** for the staff of the LMA, NASP, and\n\nother relevant stakeholders’ potential partners and users of the LIS.\n\n\n49. **It is expected that the above activities, will contribute to the activation of agricultural land markets** .\nThey also will facilitate investments in agri-businesses and create opportunities for additional income generation\nfor small landholders.\n\n\n50. **Subcomponent 2.2: Enhancement of the land administration service delivery and building digital**\n**governance infrastructure (US$10 million).** This subcomponent will finance enhancement of the NAPR IPRS and\noperationalization of the NSDI\n\nMention: \"land cover data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Remote-sensing derived land use and cover data for monitoring sustainable land management.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002070:29:0", "occurrence_id": "cfae970c4c60c4cca0bba8f5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGeorgia Resilient Agriculture, Irrigation, and Land Project (P175629)\n\n\n(a) **Operationalization of the LIS** including update of the land balance database and report; the LIS should\n\nbe connected and interoperable with the HAIC, the NAPR Immovable Property Registration System\n(IPRS), the NSDI, and its implementation would be piloted in selected project areas. The LIS will also\nincorporate the results of the assessments of needs, design and piloting of the agricultural mass land\nvaluation methodology and system.\n\n(b) **Enhancement of the Farm Registry for Georgia** ;\n\n\n(c) **Support to the preparation of the Sustainable Land Management (SLM) strategy and National Land**\n\n**Consolidation (NLC) strategies** and piloting of the NLC strategy in the GRAIL Project areas;\n\n\n(d) **Redesign of methodologies of land balance and inventory and state agricultural land management**\n\n**activities**, leveraging good international practices and their implementation in selected areas, such as use\nof remote sensing technologies for creating and monitoring land use, land cover data and the creation\nand monitoring of the soil quality database; and\n\n\n(e) **Preparation and implementation of training and capacity building** for the staff of the LMA, NASP, and\n\nother relevant stakeholders’ potential partners and users of the LIS.\n\n\n49. **It is expected that the above activities, will contribute to the activation of agricultural land markets** .\nThey also will facilitate investments in agri-businesses and create opportunities for additional income generation\nfor small landholders.\n\n\n50. **Subcomponent 2.2: Enhancement of the land administration service delivery and building digital**\n**governance infrastructure (US$10 million).** This subcomponent will finance enhancement of the NAPR IPRS and\noperationalization of the NSDI\n\nMention: \"soil quality database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Soil quality database to be created and monitored using remote sensing for land management.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002098:56:0", "occurrence_id": "866c53c5de4505ec370c341b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInnovations Towards Learning in Lagging Iraqi Governorates (P175721)\n\n|Description|Assumptions|\n|---|---|\n|GPD per capita (USD)|4,158|\n|Average age students enter the workforce|15|\n|Official retirement age in Iraq|60|\n|Average working years|45|\n|Labor force participation (%)|45|\n|Upper secondary completion rate (average across 5 governorates) (%)|37|\n\n\n\n_Source:_ GPD and labor force participation are from the World Development Indicators database, the retirement\n[age is from Iraq’s official government website (https://gds.gov.iq/), the upper secondary completion rate for the](https://gds.gov.iq/)\nfive governorates are from <mark>the Multiple Indicator Cluster Survey Iraq 2018, and the average age that students</mark>\n<mark>enter the workforce and the average working years are assumed based on education and employment statistics.</mark>\n\n\n**D. Cost-Benefit ratio**\n\n\n9. **The stream of increased earnings for the direct beneficiaries (students), which represents the**\n**additional private return incurred through the project, is compared to the total project costs to calculate**\n**the NPV and IRR.** To calculate the aggregate additional monetary lifetime benefit from the project, the\nanalysis sums up aggregate lifetime additional monetary benefits from each intervention and for all\ncohorts supported throughout the project implementation period. The analysis uses the standard\ndiscount rate of 8 percent to calculate the NPV for both costs and benefits. <sup>67</sup> Table 2.5 shows the\nestimated NPV of the project, cost-benefit ratio, and IRR.\n\n\n**Table 2.5.** **Summary of Cost-Benefit\n\nMention: \"World Development Indicators database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the gender parity index and labour-force participation values in the cost-benefit assumptions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002098:56:0", "occurrence_id": "0279ea54e3cdb85d90ea3991", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInnovations Towards Learning in Lagging Iraqi Governorates (P175721)\n\n|Description|Assumptions|\n|---|---|\n|GPD per capita (USD)|4,158|\n|Average age students enter the workforce|15|\n|Official retirement age in Iraq|60|\n|Average working years|45|\n|Labor force participation (%)|45|\n|Upper secondary completion rate (average across 5 governorates) (%)|37|\n\n\n\n_Source:_ GPD and labor force participation are from the World Development Indicators database, the retirement\n[age is from Iraq’s official government website (https://gds.gov.iq/), the upper secondary completion rate for the](https://gds.gov.iq/)\nfive governorates are from <mark>the Multiple Indicator Cluster Survey Iraq 2018, and the average age that students</mark>\n<mark>enter the workforce and the average working years are assumed based on education and employment statistics.</mark>\n\n\n**D. Cost-Benefit ratio**\n\n\n9. **The stream of increased earnings for the direct beneficiaries (students), which represents the**\n**additional private return incurred through the project, is compared to the total project costs to calculate**\n**the NPV and IRR.** To calculate the aggregate additional monetary lifetime benefit from the project, the\nanalysis sums up aggregate lifetime additional monetary benefits from each intervention and for all\ncohorts supported throughout the project implementation period. The analysis uses the standard\ndiscount rate of 8 percent to calculate the NPV for both costs and benefits. <sup>67</sup> Table 2.5 shows the\nestimated NPV of the project, cost-benefit ratio, and IRR.\n\n\n**Table 2.5.** **Summary of Cost-Benefit\n\nMention: \"Multiple Indicator Cluster Survey Iraq 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the upper-secondary completion rate for the five target governorates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002098:56:0", "occurrence_id": "cbf88ed30ebe99366a96a898", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInnovations Towards Learning in Lagging Iraqi Governorates (P175721)\n\n|Description|Assumptions|\n|---|---|\n|GPD per capita (USD)|4,158|\n|Average age students enter the workforce|15|\n|Official retirement age in Iraq|60|\n|Average working years|45|\n|Labor force participation (%)|45|\n|Upper secondary completion rate (average across 5 governorates) (%)|37|\n\n\n\n_Source:_ GPD and labor force participation are from the World Development Indicators database, the retirement\n[age is from Iraq’s official government website (https://gds.gov.iq/), the upper secondary completion rate for the](https://gds.gov.iq/)\nfive governorates are from <mark>the Multiple Indicator Cluster Survey Iraq 2018, and the average age that students</mark>\n<mark>enter the workforce and the average working years are assumed based on education and employment statistics.</mark>\n\n\n**D. Cost-Benefit ratio**\n\n\n9. **The stream of increased earnings for the direct beneficiaries (students), which represents the**\n**additional private return incurred through the project, is compared to the total project costs to calculate**\n**the NPV and IRR.** To calculate the aggregate additional monetary lifetime benefit from the project, the\nanalysis sums up aggregate lifetime additional monetary benefits from each intervention and for all\ncohorts supported throughout the project implementation period. The analysis uses the standard\ndiscount rate of 8 percent to calculate the NPV for both costs and benefits. <sup>67</sup> Table 2.5 shows the\nestimated NPV of the project, cost-benefit ratio, and IRR.\n\n\n**Table 2.5.** **Summary of Cost-Benefit\n\nMention: \"education and employment statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Statistics underlying the assumptions on workforce entry age and average working years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002103:4:1", "occurrence_id": "edef583ffe92acb966d25d68", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  characterizing PIPCTs). Lack of\nland and environmental regularization of their lands aggravates these problems, as many family farmers are unable\nto comply with the administrative demands of the financial and commercial systems. <sup>10</sup> [^10: Including the difficulties in offering guarantees to financiers.] As result, AF/PIPCT are largely\nuncompetitive vis-à-vis the markets and many are unable to adopt more sustainable and climate resilient practices,\nmaking them particularly vulnerable to the increasing impacts of climate change in Mato Grosso.\n\n10. **The ability of AF/PIPCTs to improve the sustainability and climate-smartness of their production is hindered by**\n**challenging requirements to comply with environmental legislation.** Brazil’s Native Vegetation Protection Law (Law\nNo. 12.651/2012), known as the Brazilian Forest Code <sup>11</sup> [^11: The Brazilian Forest Code (Law 12.651 of 2012) requires that all private rural landholdings maintain a percentage of native vegetation as Legal\nReserves (Reservas Legais, RLs), and that Areas of Permanent Preservation (Áreas de Preservação Permanente, APPs), such as riparian forests along\nwatercourses, steep slopes, mountaintops, etc., also be maintained by landholders. The Forest Code also obliges landholders to register their\nlandholdings in the Rural Environmental Cadaster (Cadastro Ambiental Rural – CAR). This registry contains details on the total area of individual\nfarms, the areas earmarked for alternative land use, APPs and RLs. The percentage to be held as natural vegetation varies from 80 percent in the\nAmazon biome to 35 percent in the Cerrado biome within the 9 States that make up the “Legal Amazon”, to 20 percent in the rest of Brazil. The\nenforcement of the “Forest Code” establishes economic and financial instruments to achieve these objectives.], mandates minimum conservation standards for private\nlandholdings. This represents a cornerstone of Brazil’s approach to promote climate change mitigation and adaptation\nthrough its agriculture, forest, and land\n\nMention: \"Rural Environmental Cadaster\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Mandatory registry recording farm areas, alternative land use and protected areas under the Forest Code.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002103:4:1", "occurrence_id": "ab4c04ec7fbb060689230220", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  characterizing PIPCTs). Lack of\nland and environmental regularization of their lands aggravates these problems, as many family farmers are unable\nto comply with the administrative demands of the financial and commercial systems. <sup>10</sup> [^10: Including the difficulties in offering guarantees to financiers.] As result, AF/PIPCT are largely\nuncompetitive vis-à-vis the markets and many are unable to adopt more sustainable and climate resilient practices,\nmaking them particularly vulnerable to the increasing impacts of climate change in Mato Grosso.\n\n10. **The ability of AF/PIPCTs to improve the sustainability and climate-smartness of their production is hindered by**\n**challenging requirements to comply with environmental legislation.** Brazil’s Native Vegetation Protection Law (Law\nNo. 12.651/2012), known as the Brazilian Forest Code <sup>11</sup> [^11: The Brazilian Forest Code (Law 12.651 of 2012) requires that all private rural landholdings maintain a percentage of native vegetation as Legal\nReserves (Reservas Legais, RLs), and that Areas of Permanent Preservation (Áreas de Preservação Permanente, APPs), such as riparian forests along\nwatercourses, steep slopes, mountaintops, etc., also be maintained by landholders. The Forest Code also obliges landholders to register their\nlandholdings in the Rural Environmental Cadaster (Cadastro Ambiental Rural – CAR). This registry contains details on the total area of individual\nfarms, the areas earmarked for alternative land use, APPs and RLs. The percentage to be held as natural vegetation varies from 80 percent in the\nAmazon biome to 35 percent in the Cerrado biome within the 9 States that make up the “Legal Amazon”, to 20 percent in the rest of Brazil. The\nenforcement of the “Forest Code” establishes economic and financial instruments to achieve these objectives.], mandates minimum conservation standards for private\nlandholdings. This represents a cornerstone of Brazil’s approach to promote climate change mitigation and adaptation\nthrough its agriculture, forest, and land\n\nMention: \"Cadastro Ambiental Rural\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"The same registry in Portuguese, holding parcel-level detail on vegetation-cover obligations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002148:16:0", "occurrence_id": "248b71580612dd9ca31fb69b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\n\n\nCabo Verde Human Capital Project (P175828)\n\n\n**Strengthening the shock-responsiveness of the CSU.** The proposed Project intends to increase the ability of\nthe Government to rapidly expand its safety net to protect households negatively affected from shocks, such\nas drought and floods, by strengthening the shock-responsiveness of the CSU by expanding the coverage to\nhouseholds that are particularly exposed to climate-related shocks and introducing risk related data into the\nCSU (including climate-related maps).The proposed Project would support technical assistance for the CSU\nunit.\n\n\n**Strengthening the system and storage function of the CSU.** To ensure that the CSU system is up-to-date, safe\nand efficient, support would be provided for: (i) system modifications needed to accommodate the revised\nPMT and the “ _<mark>Bilhete de Identidade”</mark>_ <mark>and “</mark> _<mark>Cartão Nacional de Identidade</mark>_ <mark>”</mark> transition; (ii) adjustments to the\nconsultation application, existing modules (i.e., data analysis, reporting, programs, etc.) and training to use\nthe new modules; (iii) system changes required to ensure the interoperability with key programs and efficient\nflow of information; (iv) support for software updates in the short-run and software upgrades in the mediumterm; and (v) storage of existing data, as well as exploring options for future solutions for MFIDS to host the\ndata. Special attention will also be given to enhancing data recovery and backup systems for the CSU, in order\nto prevent data loss in the event of expected climate change-exacerbated natural disasters.This would include\nsystem maintenance costs of the current system (i.e., licensing fees and data storage) and then technical\nassistance to make\n\nMention: \"risk related data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Risk data to be introduced into the social registry so it can flag shock-exposed households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002148:16:0", "occurrence_id": "615dcfeafac0d693b9c23bea", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\n\n\nCabo Verde Human Capital Project (P175828)\n\n\n**Strengthening the shock-responsiveness of the CSU.** The proposed Project intends to increase the ability of\nthe Government to rapidly expand its safety net to protect households negatively affected from shocks, such\nas drought and floods, by strengthening the shock-responsiveness of the CSU by expanding the coverage to\nhouseholds that are particularly exposed to climate-related shocks and introducing risk related data into the\nCSU (including climate-related maps).The proposed Project would support technical assistance for the CSU\nunit.\n\n\n**Strengthening the system and storage function of the CSU.** To ensure that the CSU system is up-to-date, safe\nand efficient, support would be provided for: (i) system modifications needed to accommodate the revised\nPMT and the “ _<mark>Bilhete de Identidade”</mark>_ <mark>and “</mark> _<mark>Cartão Nacional de Identidade</mark>_ <mark>”</mark> transition; (ii) adjustments to the\nconsultation application, existing modules (i.e., data analysis, reporting, programs, etc.) and training to use\nthe new modules; (iii) system changes required to ensure the interoperability with key programs and efficient\nflow of information; (iv) support for software updates in the short-run and software upgrades in the mediumterm; and (v) storage of existing data, as well as exploring options for future solutions for MFIDS to host the\ndata. Special attention will also be given to enhancing data recovery and backup systems for the CSU, in order\nto prevent data loss in the event of expected climate change-exacerbated natural disasters.This would include\nsystem maintenance costs of the current system (i.e., licensing fees and data storage) and then technical\nassistance to make\n\nMention: \"climate-related maps\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Hazard maps named as an example of the risk layers to be integrated into the registry.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002103:4:2", "occurrence_id": "69ec0b733b239c75a332fec5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  sustainable, climate-smart,\nand inclusive. Key among these are the 2015 Produce, Conserve and Include Strategy (PCI), the State’s 2018 Action\nPlan for the Prevention and Control of Deforestation and Forest Fires (PPCDIF MT), and the State’s 2017 Policy for\nSustainable Rural Development of Family Agriculture and the State Plan for Family Agriculture of Mato Grosso (PEAF\nMT). Building on the priorities set out in the PCI, PPCDIF MT, and PEAF MT, the proposed project will invest in the\n\n\n8 Law 11.326 (2006) defines family farmers as follows: (i) does not have under any tenure regime an area of more than four fiscal modules; (ii)\npredominantly relies on its own family labor; (iii) household income predominantly originates in the family farm; and (iv) family members operate\nthe farm.\n9 Total family farmers are estimated at a larger number, about 104,000. However, the State officials adopt official numbers from IBGE.\n10 Including the difficulties in offering guarantees to financiers.\n11 The Brazilian Forest Code (Law 12.651 of 2012) requires that all private rural landholdings maintain a percentage of native vegetation as Legal\nReserves (Reservas Legais, RLs), and that Areas of Permanent Preservation (Áreas de Preservação Permanente, APPs), such as riparian forests along\nwatercourses, steep slopes, mountaintops, etc., also be maintained by landholders. The Forest Code also obliges landholders to register their\nlandholdings in the Rural Environmental Cadaster (Cadastro Ambiental Rural – CAR). This registry contains details on the total area of individual\nfarms, the areas earmarked for alternative land use, APPs and RLs. The percentage to be held as natural vegetation varies from 80 percent in the\nAmazon biome to 35 percent in the Cerrado biome within the 9 States that make up the\n\nMention: \"IBGE\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Agency whose official family-farming counts state officials adopt over higher estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002153:22:1", "occurrence_id": "18067a97d362a72268c5409a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of total population in\nthe priority identified territories for project implementation. Component 1 will target approximately one in six\nsettlements within the priority territories and Component 2 will operate in one in three settlements within\npriority territories and reach up to one in five households. Geographical and beneficiary targeting will be critical\nin identifying the communities in which there are opportunities for assistance to play a transformational role.\nFor targeting purposes, the project describes two types of communities: (i) **vulnerable communities** to be\nidentified through a project targeting index (PTI) based on conflict data, <sup>45</sup> [^45: Principally drawing on the Armed Conflict and Location Data Project (ACLED)] climate-related shocks and stressors,\nabsence of services and other project support, ensuring complementarity with the targeting approach utilized by\nthe FSRDC in the STEP project, and; (ii) **communities hosting reintegration of individuals from disarmed groups**\ncomprising P-DDRCS participants and members of the communities in which they live or to which they return.\nThese will be identified as part of a process led by the government through P-DDRCS at the provincial and\nterritory level together with provincial and local administrations.\n\n\n34. **At the individual level, the project proposes eligibility differentiated by the above-described type of**\n**community** : Individuals from vulnerable communities will be selected through a process of community-based\ntargeting, based on the marginality of the households, and as applicable, special consideration for vulnerable\ngroups. One beneficiary per household (starting from age 15) will be eligible and the project will seek to achieve\nequal levels of participation by women and men. In communities where income generating activities are offered,\nthe eligibility assessment will further consider whether applicants have articulated credible proposals for\n\n\n42 Barakat, Stabilisation, GSDRC, 2016\n43 The UN stabilization strategy (ISSS, 2020) and its five pillars: (i) democratic dialogue; (ii) security; (iii) restoration of state authority; (iv)\nreturn reintegration\n\nMention: \"conflict data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Conflict incident data underpinning the targeting index used to identify vulnerable communities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002153:22:1", "occurrence_id": "eac0d6fd021e9bea2d29808f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of total population in\nthe priority identified territories for project implementation. Component 1 will target approximately one in six\nsettlements within the priority territories and Component 2 will operate in one in three settlements within\npriority territories and reach up to one in five households. Geographical and beneficiary targeting will be critical\nin identifying the communities in which there are opportunities for assistance to play a transformational role.\nFor targeting purposes, the project describes two types of communities: (i) **vulnerable communities** to be\nidentified through a project targeting index (PTI) based on conflict data, <sup>45</sup> [^45: Principally drawing on the Armed Conflict and Location Data Project (ACLED)] climate-related shocks and stressors,\nabsence of services and other project support, ensuring complementarity with the targeting approach utilized by\nthe FSRDC in the STEP project, and; (ii) **communities hosting reintegration of individuals from disarmed groups**\ncomprising P-DDRCS participants and members of the communities in which they live or to which they return.\nThese will be identified as part of a process led by the government through P-DDRCS at the provincial and\nterritory level together with provincial and local administrations.\n\n\n34. **At the individual level, the project proposes eligibility differentiated by the above-described type of**\n**community** : Individuals from vulnerable communities will be selected through a process of community-based\ntargeting, based on the marginality of the households, and as applicable, special consideration for vulnerable\ngroups. One beneficiary per household (starting from age 15) will be eligible and the project will seek to achieve\nequal levels of participation by women and men. In communities where income generating activities are offered,\nthe eligibility assessment will further consider whether applicants have articulated credible proposals for\n\n\n42 Barakat, Stabilisation, GSDRC, 2016\n43 The UN stabilization strategy (ISSS, 2020) and its five pillars: (i) democratic dialogue; (ii) security; (iii) restoration of state authority; (iv)\nreturn reintegration\n\nMention: \"Armed Conflict and Location Data Project\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Named principal source of the geolocated conflict events feeding the targeting index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002166:29:0", "occurrence_id": "923524cc3c9b6e231cf83c55", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNiger Integrated Urban Development and Multi-sectoral Resilience Project (P175857)\n\n\n39. _Eligibility criteria._ Investments will be prioritized in geographical areas with relatively low flood exposure to\ndisincentivize further urbanization in flood-prone areas, based on a cross-analysis of: (i) investments included\nin communal development plans, and other available municipal investment plans, and urban planning tools, in\nconsultations with municipalities; (ii) investment identified by the PGRC-DU currently under implementation,\nin consultation with the municipalities; and (iii) already existing municipal or sector initiatives to which the\nPIDUREM should be complementary, including other World Bank-financed projects. Preliminary budget\nallocations by municipalities and by investment types have been identified based on the Project\nImplementation Unit (PIU)’s recently completed municipal assessment of 14 beneficiary municipalities, which\nidentified specific urban development priorities and gaps, as well as implementation capacities. Consultations\nwith citizens, including youth and women will be conducted, including during the initial infrastructure design\nphase, to ensure that their specific interests are reflected in the design of specific investments. Investments\nwill be implemented via Labor-Intensive Public Works (LIPW) approaches and will include skills training for\neconomic opportunities linked to these works <sup>70</sup> [^70: Construction skills] particularly directed towards young people including women.\nActivities will make use of assistance to implementation, such as the hiring of consultancy services to support\nimplementation depending on the complexity, remoteness, and FCV risks of the specific activity.\n\n40. The following investments have been prioritized for the first 18 months of implementation based on availability\nof technical studies produced by the PGRC-DU, other GoN institutions, and other partners.\n\n\n**_<u>Table 1: Already identified studies, supervision and investments for the first 18 months of implementation</u>_**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|No.|Investment|Municip\n\nMention: \"municipal assessment of 14 beneficiary municipalities\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Assessment of the beneficiary municipalities that set preliminary budget allocations and investment priorities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002171:12:0", "occurrence_id": "95532fae3f9e264dc9db0565", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHurricanes Eta and Iota Emergency Response Project (P175878)\n\n\nthe health of its population. The pandemic, combined with the socioeconomic context, has contributed to the further\nloss of jobs and an increase in poverty which may, in turn, affect Nicaragua’s indicators in education, nutrition, and\nhealth. Official statistics put COVID-19 cases at 5,887 (as of December 12, 2020) with 162 deaths. Although the GoN has\nnot officially implemented a lockdown, it is putting in place proactive measures to face the pandemic without closing\nthe economy. The effects of COVID-19 may worsen the situation of people living in public shelters due to the hurricanes,\ngiven that a substantial number are expected to remain in the shelters into 2021.\n\n5. **Poverty in Nicaragua** <sup>**7**</sup> [^7: The proportion of poor households living below the international poverty line of US$3.2/day (2011 purchasing power parity, PPP) is\nforecasted to increase from 13.1 percent in 2019 to 15 percent in 2020. This would add more than 130,000 people into poverty by the end\nof the current year.] **continues to have a spatial dimension, with the Central and Caribbean regions lagging**\n**other regions.** The 2005 Population and Housing Census <sup>8</sup> [^8: The 2005 Census is currently the only official source of information with data at the national level.] indicated that the Caribbean Region is inhabited by 58 percent\n(about 253,589 people) Indigenous Peoples and Afro-descendants (IPADs) of which 40 percent live in the North\nCaribbean Autonomous Region ( _Región Autónoma de la Costa Caribe Norte_ - RACCN) and 18 percent in the South\nCaribbean Autonomous Region ( _Región Autónoma de la Costa Caribe Sur_ - RACCS). Based on the 2005 census and\npoverty map produced by the National Institute of Development Information ( _Instituto Nacional de Informationarrollo_\n\nMention: \"2005 Population and Housing Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The only official national-level source, showing the Caribbean Region's 58 percent Indigenous and Afro-descendant population.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002171:12:0", "occurrence_id": "96d36b55d70b02b330cd3ca0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHurricanes Eta and Iota Emergency Response Project (P175878)\n\n\nthe health of its population. The pandemic, combined with the socioeconomic context, has contributed to the further\nloss of jobs and an increase in poverty which may, in turn, affect Nicaragua’s indicators in education, nutrition, and\nhealth. Official statistics put COVID-19 cases at 5,887 (as of December 12, 2020) with 162 deaths. Although the GoN has\nnot officially implemented a lockdown, it is putting in place proactive measures to face the pandemic without closing\nthe economy. The effects of COVID-19 may worsen the situation of people living in public shelters due to the hurricanes,\ngiven that a substantial number are expected to remain in the shelters into 2021.\n\n5. **Poverty in Nicaragua** <sup>**7**</sup> [^7: The proportion of poor households living below the international poverty line of US$3.2/day (2011 purchasing power parity, PPP) is\nforecasted to increase from 13.1 percent in 2019 to 15 percent in 2020. This would add more than 130,000 people into poverty by the end\nof the current year.] **continues to have a spatial dimension, with the Central and Caribbean regions lagging**\n**other regions.** The 2005 Population and Housing Census <sup>8</sup> [^8: The 2005 Census is currently the only official source of information with data at the national level.] indicated that the Caribbean Region is inhabited by 58 percent\n(about 253,589 people) Indigenous Peoples and Afro-descendants (IPADs) of which 40 percent live in the North\nCaribbean Autonomous Region ( _Región Autónoma de la Costa Caribe Norte_ - RACCN) and 18 percent in the South\nCaribbean Autonomous Region ( _Región Autónoma de la Costa Caribe Sur_ - RACCS). Based on the 2005 census and\npoverty map produced by the National Institute of Development Information ( _Instituto Nacional de Informationarrollo_\n\nMention: \"2005 census and\npoverty map\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census combined with a national poverty map to characterise poverty distribution across autonomous regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002141:4:1", "occurrence_id": "638b1523d7df03bffe0f9aed", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  cases on April 15, 2020,\nfurther increases in case incidence were mitigated by containment measures, including the layered application\nof physical distancing, testing, contact tracing, and improved sanitation. However, relaxing containment\nmeasures and increased social interaction at the beginning of the summer contributed to a rise in daily case\nincidence to a high of 478 cases on June 17, 2020. The increase in case incidence was partially driven by a rise in\ntesting capacity to 3,000 tests daily by October 2020. <sup>5</sup> [^5: Daily testing data not available in public databases.] By December 10, 2020, Moldova noted a record number\nof daily cases at 1,766. The cumulative cases per one million population in Moldova of 3,666 is one of the highest\nin Europe and Central Asia. <sup>6</sup> [^6: Data sourced from Our World in Data: https://ourworldindata.org/]\n\n\n10. Per the Oxford COVID-19 Government Response Tracker, the containment health index, which measures\nthe stringency of containment measures, fell from a peak 72.4 (out of 100) in May 2020 to 43.0 in\nSeptember 2020. <sup>7</sup> [^7: Hale, Thomas, Sam Webster, Anna Petherick, Toby Phillips, and Beatriz Kira (2020). Oxford COVID-19 Government Response\nTracker, Blavatnik School of Government. Data use policy: Creative Commons Attribution CC BY standard.] A state of national emergency was initiated by the National Extraordinary Public\nHealth Commission, headed by the Prime Minister, on March 17, 2020, for 60 days. On May 15, 2020, the\nstate of national public health emergency was extended until June 30. All educational institutions and\nmany public venues were closed until September 1. Air and rail traffic were suspended. Also, 70 of\nMoldova’s 81 land border crossings with Romania and Ukraine were closed. Public sector working hours\nwere restricted to\n\nMention: \"Daily testing data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Daily test counts behind the testing-capacity rise to 3,000 per day, noted as not publicly available.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002141:4:1", "occurrence_id": "f34d782663810fef35e1275c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  cases on April 15, 2020,\nfurther increases in case incidence were mitigated by containment measures, including the layered application\nof physical distancing, testing, contact tracing, and improved sanitation. However, relaxing containment\nmeasures and increased social interaction at the beginning of the summer contributed to a rise in daily case\nincidence to a high of 478 cases on June 17, 2020. The increase in case incidence was partially driven by a rise in\ntesting capacity to 3,000 tests daily by October 2020. <sup>5</sup> [^5: Daily testing data not available in public databases.] By December 10, 2020, Moldova noted a record number\nof daily cases at 1,766. The cumulative cases per one million population in Moldova of 3,666 is one of the highest\nin Europe and Central Asia. <sup>6</sup> [^6: Data sourced from Our World in Data: https://ourworldindata.org/]\n\n\n10. Per the Oxford COVID-19 Government Response Tracker, the containment health index, which measures\nthe stringency of containment measures, fell from a peak 72.4 (out of 100) in May 2020 to 43.0 in\nSeptember 2020. <sup>7</sup> [^7: Hale, Thomas, Sam Webster, Anna Petherick, Toby Phillips, and Beatriz Kira (2020). Oxford COVID-19 Government Response\nTracker, Blavatnik School of Government. Data use policy: Creative Commons Attribution CC BY standard.] A state of national emergency was initiated by the National Extraordinary Public\nHealth Commission, headed by the Prime Minister, on March 17, 2020, for 60 days. On May 15, 2020, the\nstate of national public health emergency was extended until June 30. All educational institutions and\nmany public venues were closed until September 1. Air and rail traffic were suspended. Also, 70 of\nMoldova’s 81 land border crossings with Romania and Ukraine were closed. Public sector working hours\nwere restricted to\n\nMention: \"Our World in Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Aggregated case data behind the per-capita infection comparison with Europe and Central Asia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002141:4:1", "occurrence_id": "4504ee1c450ee692e781437e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  cases on April 15, 2020,\nfurther increases in case incidence were mitigated by containment measures, including the layered application\nof physical distancing, testing, contact tracing, and improved sanitation. However, relaxing containment\nmeasures and increased social interaction at the beginning of the summer contributed to a rise in daily case\nincidence to a high of 478 cases on June 17, 2020. The increase in case incidence was partially driven by a rise in\ntesting capacity to 3,000 tests daily by October 2020. <sup>5</sup> [^5: Daily testing data not available in public databases.] By December 10, 2020, Moldova noted a record number\nof daily cases at 1,766. The cumulative cases per one million population in Moldova of 3,666 is one of the highest\nin Europe and Central Asia. <sup>6</sup> [^6: Data sourced from Our World in Data: https://ourworldindata.org/]\n\n\n10. Per the Oxford COVID-19 Government Response Tracker, the containment health index, which measures\nthe stringency of containment measures, fell from a peak 72.4 (out of 100) in May 2020 to 43.0 in\nSeptember 2020. <sup>7</sup> [^7: Hale, Thomas, Sam Webster, Anna Petherick, Toby Phillips, and Beatriz Kira (2020). Oxford COVID-19 Government Response\nTracker, Blavatnik School of Government. Data use policy: Creative Commons Attribution CC BY standard.] A state of national emergency was initiated by the National Extraordinary Public\nHealth Commission, headed by the Prime Minister, on March 17, 2020, for 60 days. On May 15, 2020, the\nstate of national public health emergency was extended until June 30. All educational institutions and\nmany public venues were closed until September 1. Air and rail traffic were suspended. Also, 70 of\nMoldova’s 81 land border crossings with Romania and Ukraine were closed. Public sector working hours\nwere restricted to\n\nMention: \"Oxford COVID-19 Government Response Tracker\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Containment-stringency index used to track the easing of measures from 72.4 to 43.0.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002176:4:0", "occurrence_id": "7d2ddf0ac1044c1434bd397b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMozambique COVID-19 Strategic Preparedness and Response Project (P175884)\n\n\n8. **The Government of Mozambique’s COVID-19 vaccine coverage and purchase plan is a national priority to tackle**\n**the health and socio-economic impact of the pandemic. Still under development, Mozambique’s vaccine strategy aims**\n**to primarily tackle the acute health crisis and reduce mortality by targeting the most vulnerable groups.** In the longerterm the strategy also considers scaling coverage up to reduce transmission, which should also serve as economic stimulus.\nBased on the available evidence, the theoretical herd immunity threshold for SARS-CoV-2 — the virus that causes\ncoronavirus disease — is about 60 percent6. Considering limited vaccine supplies and financing, the government has\nplanned to cover 20 percent of the population targeting vulnerable groups and frontline workers, covering the remaining\n40 percent incrementally as more resources become available. The proposed strategy to ensure the vaccination of 20\npercent of the population as part of Phase 1 follows a two-step approach for prioritized groups. COVAX AMC will provide\nvaccine doses to cover 16-20 percent of the population. Other sources may also support additional acquisition, including\nthe African Union (AU) and the private sector. This project aims to support Phase 1 and 2, focusing on deployment and\nrelated systems to cover these initial allocations, with financing for additional vaccine acquisition available depending on\nthe extent of operational costs\n\n\nRelationship to CPF\n\n9. **The proposed project is aligned with the World Bank’s Country Partnership Framework (CPF) for**\n**Mozambique,** **as revised in the recently concluded Performance and Learning Review (PLR) that includes adjustments**\n**to the CPF for COVID-19.** The FY 17-21 WBG CPF for Mozambique draws on the 2016 Systematic Country Diagnostic (SCD)\nwhich identified\n\nMention: \"2016 Systematic Country Diagnostic\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Diagnostic that informed the country partnership framework guiding this health response.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002166:13:2", "occurrence_id": "f1a6ceff7e80031bd61fcfef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  crops, with its products\nmainly used for domestic consumption. Frequent droughts (1973, 1984, 2010, 2012) have a drastic effect on\nthe agricultural sector and contribute to poverty, as 82 percent of the workforce are employed in the\nagricultural sector. <sup>10</sup> Human development indicators are low with (i) a Human Development Index value of\n0.394 (2019, latest available), positioning Niger last of 189 countries and territories; (ii) a 62.4 years life\nexpectancy (at birth); and (iii) 6.5 years of expected schooling years, with 2.1 being the mean years of\nschooling. <sup>11</sup>\n\n\n1 Niger Systematic Country Diagnostic, World Bank 2017\n2 Population estimates and projections – Niger, World Bank indicators\n3 Age dependency ratio – Niger, World Bank indicators\n4 Politique Nationale Genre, Ministère de la Promotion de la Femme et de la Protection de l’Enfant, August 2017\n5 PRA Eligibility Note, World Bank 2021\n6 Macroeconomic outlook for Niger, World Bank, forthcoming April 2022\n7 INS poverty profile 2019\n8 Niger – Economic and Poverty situation Note in the time of COVID-19, World Bank Spring 2020\n9 Agricultural and Livestock Transformation Project (P164509) Appraisal Document\n10 https://www.fao.org/in-action/aicca/country-activities/niger/background/en/\n11 HDR report 2020: http://hdr.undp.org/en/content/latest-human-development-index-ranking\n\n\nPage 8 of 84\n\nMention: \"Population estimates and projections – Niger\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Population series behind the demographic figures in the country context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002166:13:2", "occurrence_id": "219e156aad60f95ae9108ca3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  crops, with its products\nmainly used for domestic consumption. Frequent droughts (1973, 1984, 2010, 2012) have a drastic effect on\nthe agricultural sector and contribute to poverty, as 82 percent of the workforce are employed in the\nagricultural sector. <sup>10</sup> Human development indicators are low with (i) a Human Development Index value of\n0.394 (2019, latest available), positioning Niger last of 189 countries and territories; (ii) a 62.4 years life\nexpectancy (at birth); and (iii) 6.5 years of expected schooling years, with 2.1 being the mean years of\nschooling. <sup>11</sup>\n\n\n1 Niger Systematic Country Diagnostic, World Bank 2017\n2 Population estimates and projections – Niger, World Bank indicators\n3 Age dependency ratio – Niger, World Bank indicators\n4 Politique Nationale Genre, Ministère de la Promotion de la Femme et de la Protection de l’Enfant, August 2017\n5 PRA Eligibility Note, World Bank 2021\n6 Macroeconomic outlook for Niger, World Bank, forthcoming April 2022\n7 INS poverty profile 2019\n8 Niger – Economic and Poverty situation Note in the time of COVID-19, World Bank Spring 2020\n9 Agricultural and Livestock Transformation Project (P164509) Appraisal Document\n10 https://www.fao.org/in-action/aicca/country-activities/niger/background/en/\n11 HDR report 2020: http://hdr.undp.org/en/content/latest-human-development-index-ranking\n\n\nPage 8 of 84\n\nMention: \"World Bank indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Indicator series cited for demographic measures such as the age dependency ratio.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002166:13:2", "occurrence_id": "3c5e0ce1544d13f9912f58d7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  crops, with its products\nmainly used for domestic consumption. Frequent droughts (1973, 1984, 2010, 2012) have a drastic effect on\nthe agricultural sector and contribute to poverty, as 82 percent of the workforce are employed in the\nagricultural sector. <sup>10</sup> Human development indicators are low with (i) a Human Development Index value of\n0.394 (2019, latest available), positioning Niger last of 189 countries and territories; (ii) a 62.4 years life\nexpectancy (at birth); and (iii) 6.5 years of expected schooling years, with 2.1 being the mean years of\nschooling. <sup>11</sup>\n\n\n1 Niger Systematic Country Diagnostic, World Bank 2017\n2 Population estimates and projections – Niger, World Bank indicators\n3 Age dependency ratio – Niger, World Bank indicators\n4 Politique Nationale Genre, Ministère de la Promotion de la Femme et de la Protection de l’Enfant, August 2017\n5 PRA Eligibility Note, World Bank 2021\n6 Macroeconomic outlook for Niger, World Bank, forthcoming April 2022\n7 INS poverty profile 2019\n8 Niger – Economic and Poverty situation Note in the time of COVID-19, World Bank Spring 2020\n9 Agricultural and Livestock Transformation Project (P164509) Appraisal Document\n10 https://www.fao.org/in-action/aicca/country-activities/niger/background/en/\n11 HDR report 2020: http://hdr.undp.org/en/content/latest-human-development-index-ranking\n\n\nPage 8 of 84\n\nMention: \"INS poverty profile 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National statistics office profile behind the poverty figures cited.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002166:13:2", "occurrence_id": "4ad2ce65ba1b1aa123474edf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  crops, with its products\nmainly used for domestic consumption. Frequent droughts (1973, 1984, 2010, 2012) have a drastic effect on\nthe agricultural sector and contribute to poverty, as 82 percent of the workforce are employed in the\nagricultural sector. <sup>10</sup> Human development indicators are low with (i) a Human Development Index value of\n0.394 (2019, latest available), positioning Niger last of 189 countries and territories; (ii) a 62.4 years life\nexpectancy (at birth); and (iii) 6.5 years of expected schooling years, with 2.1 being the mean years of\nschooling. <sup>11</sup>\n\n\n1 Niger Systematic Country Diagnostic, World Bank 2017\n2 Population estimates and projections – Niger, World Bank indicators\n3 Age dependency ratio – Niger, World Bank indicators\n4 Politique Nationale Genre, Ministère de la Promotion de la Femme et de la Protection de l’Enfant, August 2017\n5 PRA Eligibility Note, World Bank 2021\n6 Macroeconomic outlook for Niger, World Bank, forthcoming April 2022\n7 INS poverty profile 2019\n8 Niger – Economic and Poverty situation Note in the time of COVID-19, World Bank Spring 2020\n9 Agricultural and Livestock Transformation Project (P164509) Appraisal Document\n10 https://www.fao.org/in-action/aicca/country-activities/niger/background/en/\n11 HDR report 2020: http://hdr.undp.org/en/content/latest-human-development-index-ranking\n\n\nPage 8 of 84\n\nMention: \"HDR report 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Human development index ranking behind the life-expectancy and schooling figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002185:7:1", "occurrence_id": "06dfc4552563a4883ce4df3a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nThe community-based monitoring system is expected to supplement the hydro-meteorological data collected by\nthe official agencies, i.e. MoIWR and SMA. The activity will engage with civil society such as women’s groups and\nschools. A set of capacity building and awareness program will be conducted in selected pilot sites and the link\nbetween the local government and the civil society will be strengthened.\n\n\nThe technical assistance and pilot implementation consultancies will be complemented by capacity building of\nthe Nile Water Directorate, the GWWD, the SMA and related stakeholders on operation and maintenance of\nFEWS, including the use of earth observation data for flood forecasting. This activity will also be aligned with the\ninstitutional and policy reforms which the GoS is currently implementing in the DRM sector.\n\n\n**_Component 2: Improving the Maintenance of Small-scale Water Storage Structures (USD 0.90million)_**\nThis component will support the Water Harvesting Directorate of MoIWR in their endeavor to reduce the failure\nrisk of small dams and water harvesting structures (haffirs) and asset management procedures for other flood\nmanagement structures, such as retarding basins and river embankments. Special attention will be paid to the\nmanagement of haffirs as an entry point for the MoIWR and local government to enhance the asset\nmanagement procedures for other larger-scale infrastructures. Activities under this component aim to address\ncommunity level adaptive capacities to mitigate the risk of floods and effectively harness flood waters in haffirs\nfor productive livelihood activities. This component will finance: (i) baseline survey and update the inventory of\nsmall dams and haffirs that will include the key dimensions and development of failure risk index; (ii)\ndevelopment of guidelines, standard operating procedure (SOP), and emergency operation plan (EOP) for\nhaffirs, small dams and flood management structures; (iii) minor rehabilitation of damaged haffirs; and (iv)\n\n\nMar 27, 2021 Page 8\n\nMention: \"earth observation data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Satellite data whose use for flood forecasting will be built into water-directorate capacity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002180:3:2", "occurrence_id": "0494f2c69eee151bafd98bc5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  recognized the importance of EE as evidenced by its inclusion in various policy documents.**\nThese include the Energy Efficiency Law (2007), Secondary legislation on Energy Performance of Buildings (2009),\nElectricity Market and Security of Supply Strategy (2009), the National Climate Change Strategy (NCCS, 2010-2020), the\nNational Climate Change Action Plan (NCCAP, 2011-2023), the Energy Efficiency Strategy (2012) and the successive\nEnergy Efficiency Action Plan (2016). The National Energy Efficiency Strategy of 2012 calls for a 10 percent reduction in\nenergy intensity across all sectors, and the National Energy Efficiency Action Plan (NEEAP), approved in January 2018,\ncalls for US$11 billion investment in energy saving measures to reduce consumption by 23.9 million tons equivalent\npetroleum (14 percent) by 2023. In 2016, the Ministry of Energy and Natural Resources (MENR) commissioned a study\nto assess the potential for energy efficiency <sup>5</sup> [^5: Under the World Bank-GEF Small and Medium Enterprise Energy Efficiency Project.] in public buildings. This study estimated that there are about 175,280 public\nbuildings in operation across the country. At least 5% (or more than 8,500 buildings) are likely to be central government\n\n\n1 Erdik, M. (2013), Earthquake Risk in Turkey, Science Mag, Vol. 341, Issue 6147, pp. 724-725, DOI: 10.1126/science.1238945\n2 Kocaeli, Sakarya, Yalova, Istanbul, Bursa, Bolu, Eskisehir, Duzce, Karabuk, and Zonguldak.\n3 Republic of Turkey Ministry of Environment and Urbanization (2018), Seventh National Communicaton of Turkey under the UNFCCC.\nAnkara: Ministry of Environment and Urbanization.\n4 Eurostat. https://ec.europa.eu/eurostat/web/main/home\n5 Under the World Bank-GEF Small and Medium Enterprise Energy\n\nMention: \"Eurostat\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Statistical office cited among the sources for the energy-efficiency and emissions context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002205:3:1", "occurrence_id": "e8fa494604913271d1ec9dd4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 1996) to around 50 percent (2014). From 2017 to 2018, the percent increase of forest lost in Côte d’Ivoire was the\nsecond highest in the world. <sup>7</sup> [^7: Weisse, M., and E. D. Goldman. 2019. “The World Lost a Belgium-Sized Area of Primary Rainforest Last Year.” World Resources Institute.\nApril 25, 2019 _._ [https://www.wri.org/blog/2019/04/world-lost-belgium-sized-area-primary-rainforests-last-year](https://www.wri.org/blog/2019/04/world-lost-belgium-sized-area-primary-rainforests-last-year) _._]\n\n\n**The main direct drivers of deforestation and forest degradation** are (a) the massive expansion of extensive slash-andburn agriculture, primarily for cocoa production (cocoa is responsible for 38 percent of deforestation in Côte d’Ivoire\nwith 40 percent of cocoa production coming from GFs and protected areas8); (b) the uncontrolled harvesting of forests,\nparticularly for fuelwood (currently estimated at 20 million m <sup>3</sup> [^3: World Bank. 2019. _Côte d’Ivoire Economic Outlook: Why the Time Has Come to Produce Cocoa in a Fully Inclusive and Responsible_\n_Manner_ [July 2019 (accessed November 2020), https://www.worldbank.org/en/country/cotedivoire/publication/cote-divoire-economic-](https://www.worldbank.org/en/country/cotedivoire/publication/cote-divoire-economic-outlook-why-the-time-has-come-to-produce-cocoa-in-a-responsible-manner)\n[outlook-why-the-time-has-come-to-produce-cocoa-in-a-responsible-manner.](https://www.worldbank.org/en/country/cotedivoire/publication/cote-divoire-economic-outlook-why-the-time-has-come-to-produce-cocoa-in-a-responsible-manner)\n[4 World Bank Open Data: Côte d’Ivoire (accessed November 2020), https://data.worldbank.org/country/cote-divoire](https://data.worldbank.org/country/cote-divoire) _._] per year, a figure that continues to grow due to the weak\nprotection of GFsdivoire-economic\n\nMention: \"World Bank Open Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Country data portal behind the deforestation-rate figures cited.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002224:10:1", "occurrence_id": "a7004f6ba791223eefed4906", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ). Given the long life of T&D infrastructure (40-75 years), it</mark>\n<mark>is imperative to account for future impacts in policy and project design. Similarly, hydropower stations are vulnerable to</mark>\n<mark>changing water availability due to increased precipitation, changing river flows, and droughts. Hydropower plants with</mark>\n<mark>water storage facilities help reduce the impact of changes, but the estimated impacts are higher for the higher capacity</mark>\n<mark>[plants (Mishra et al., 2020).](https://www.frontiersin.org/articles/10.3389/fenvs.2020.00026/full#refer1)</mark>\n\n\n<mark>29.</mark> **<mark>Climate Co-Benefits.</mark>** <mark>The proposed Program will support interventions to both mitigate and adapt to climate</mark>\n<mark>change. As noted above, the Result Area 1 will strengthen the institutions for sustainable and holistic development of</mark>\n<mark>the state’s power sector infrastructure. The Result Area 2 will contribute towards exploring hydro as a flexible resource</mark>\n<mark>to allow for a higher uptake of VRE within and outside the state as operators and planners would need to develop ways</mark>\n<mark>of understanding and anticipating increasing climatic and hydrological variability to ensure that existing and future</mark>\n<mark>facilities are designed or enhanced to be resilient to a much more variable climate. The strengthening of the existing</mark>\n<mark>systems based on the learnings on cumulative impacts as available from the existing basin CIA studies including safety</mark>\n<mark>will be a part of the proposed Program. The Result Area 3 will support adaptation with improved\n\nMention: \"basin CIA studies\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Existing basin climate-impact studies whose cumulative findings inform resilient design of systems.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001751:5:1", "occurrence_id": "ce05f220dcb95b6ded120bfe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Project <sup>11</sup> . Meanwhile, EBRD and ADB have\nprovided financing for technical assistance (TA) across a range of areas,\nincluding road maintenance for secondary and local roads, and capacity **<mark>Figure 1 - Road Crash Data Comparison</mark>**\nbuilding for road agency personnel.\n\n12. **Despite the progress made so far, the establishment of effective technical and institutional frameworks for road**\n**network operation and management is still work in process** . The Road Fund has insufficient resources for road\nmaintenance, and additional revenue is needed to address the maintenance backlog and to improve financial\nsustainability of the sector. GoA is interested in adopting user pays principles and introducing road user charges, as a\nmeans to improve financial sustainability. In parallel, GoA wishes to reduce the rate of deterioration of the road network,\nand recognizes that operational efficiencies could be improved through better enforcement of axle load controls.\n\n13. **Climate change and hazard impacts are expected in the project area** . Temperatures are expected to increase in\nthe project area, based on records in Baku, where summer temperatures have increased by up to 3.2 degrees Celsius over\nthe last fifty years <sup>15</sup> . The parts of Azerbaijan at greatest risk of floods are in the central and south-eastern, which\nencompasses the project region. The project region projected increases in precipitation is likely to exacerbate flood risk,\nwhich is already occurring. There is an estimated 10 percent chance of potentially damaging earthquakes in the project\narea in the next 50 years. Climate change and earthquake may alter slope and soil stability through changes in precipitation\n\n\n12 Road Safety Overview Azerbaijan. World Bank Group and the European Union Eastern Partnership.\n13 Eastern Partnership countries include Azerbaijan, Georgia, Armenia, Moldova, Ukraine, Belarus.\n14 State Statistics Committee of Azerbaijan\n15 Climate and Disaster Risk Screening Report for the project.\n\n\nSep 15,\n\nMention: \"Road Crash Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Crash statistics compared in the figure to show the country's road-safety gap.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:001751:5:1", "occurrence_id": "2732392d8e4d11ee20400657", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Project <sup>11</sup> . Meanwhile, EBRD and ADB have\nprovided financing for technical assistance (TA) across a range of areas,\nincluding road maintenance for secondary and local roads, and capacity **<mark>Figure 1 - Road Crash Data Comparison</mark>**\nbuilding for road agency personnel.\n\n12. **Despite the progress made so far, the establishment of effective technical and institutional frameworks for road**\n**network operation and management is still work in process** . The Road Fund has insufficient resources for road\nmaintenance, and additional revenue is needed to address the maintenance backlog and to improve financial\nsustainability of the sector. GoA is interested in adopting user pays principles and introducing road user charges, as a\nmeans to improve financial sustainability. In parallel, GoA wishes to reduce the rate of deterioration of the road network,\nand recognizes that operational efficiencies could be improved through better enforcement of axle load controls.\n\n13. **Climate change and hazard impacts are expected in the project area** . Temperatures are expected to increase in\nthe project area, based on records in Baku, where summer temperatures have increased by up to 3.2 degrees Celsius over\nthe last fifty years <sup>15</sup> . The parts of Azerbaijan at greatest risk of floods are in the central and south-eastern, which\nencompasses the project region. The project region projected increases in precipitation is likely to exacerbate flood risk,\nwhich is already occurring. There is an estimated 10 percent chance of potentially damaging earthquakes in the project\narea in the next 50 years. Climate change and earthquake may alter slope and soil stability through changes in precipitation\n\n\n12 Road Safety Overview Azerbaijan. World Bank Group and the European Union Eastern Partnership.\n13 Eastern Partnership countries include Azerbaijan, Georgia, Armenia, Moldova, Ukraine, Belarus.\n14 State Statistics Committee of Azerbaijan\n15 Climate and Disaster Risk Screening Report for the project.\n\n\nSep 15,\n\nMention: \"records in Baku\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Long Baku temperature records showing up to 3.2°C summer warming over fifty years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002205:2:1", "occurrence_id": "a818c8011e59020aadfeadb3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in the top quarter of African countries. However,\ndespite the relative strength demonstrated by macroeconomic indicators, the poverty rate remains high, with 39.5\npercent of the population having a daily revenue of under US$1.90 in 2018, and the country ranking 165 (out of 188) on\nthe Human Development Index. <sup>2</sup> While agriculture as a percentage of GDP has fallen in recent years, the World Bank\nreported that the agriculture sector accounted for about 21 percent of the country’s GDP in 2020, as compared with 28\npercent in 2015, it still remains an important driver for economic growth, employing close to half of the active\npopulation. Côte d’Ivoire is the world’s largest producer and exporter of cocoa and the sector accounts for about one\n\n[1 World Bank Open Data: Côte d’Ivoire. https://data.worldbank.org/country/cote-divoire.](https://data.worldbank.org/country/cote-divoire)\n2 Ibid; UNDP (United Nations Development Programme). Human Development Indices and Indicators: 2019 Statistical Update. Côte\n[d’Ivoire (accessed November 2020), http://hdr.undp.org/en/countries/profiles/CIV](http://hdr.undp.org/en/countries/profiles/CIV) _._\n\n\nMay 01, 2022 Page 3 of 11\n\nMention: \"World Bank Open Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Country data portal cited for the growth and agriculture statistics framing the context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002180:5:0", "occurrence_id": "e294ac33b462c4fb9a05fafc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSeismic Resilience and Energy Efficiency in Public Buildings Project (P175894)\n\n\n(e) Number of government staff and technical professionals trained in the design and implementation\n\nof building retrofitting and renovation, including with the latest technologies.\n\n\n**D. Project Description**\n\n11. The proposed Project would support improvements in seismic and disaster resilience and energy efficiency of\ncentral government and central government affiliated buildings through retrofitting and renovation or demolition and\nreconstruction. It is anticipated that the Project will support interventions in buildings such as education buildings (preprimary and tertiary) <sup>8</sup> [^8: Through a parallel Project – Disaster risk Management in Schools (P157683), the Bank is supporting disaster resilience and energy\nefficiency interventions in primary and secondary schools under the Ministry of National Education.], dormitories, hospitals, and public administrative buildings. Buildings will be identified through\nthe EEPBP and the national database of public buildings (KAYES)and will then be prioritized according to disaster risk\nand EE needs.\n\n\n12. The Project includes four components: (i) investments in central government buildings for seismic strengthening\nand improvement of EE; (ii) technical assistance, (iii) project implementation support; and (iv) Contingent Emergency\nResponse Component (CERC).\n\n\n**_Component 1. Investments in central government buildings for structural strengthening and improvement of EE_**\n\n\n13. Under this component, MoEU would support the renovation of central government and central-government\naffiliated buildings (i.e., public buildings under central line ministries, such as education facilities, dormitories and\nhospitals). The number of beneficiaries would be maximized by implementing appropriate, cost-effective structural\nretrofitting, energy efficiency improvements and as necessary other functional improvements. The Project will also\nsupport universal access improvements in buildings selected under the Project (e.g., addition of wheelchair ramps),\nenhance fire safety and will promote zero waste initiatives in renovated and reconstructed buildings. In cases where it\nis deemed economically unviable to retrofit and renovate\n\nMention: \"national database of public buildings\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Registry used to identify candidate buildings before risk-based prioritisation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002180:5:0", "occurrence_id": "c39794484be2c1d27524d8c6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSeismic Resilience and Energy Efficiency in Public Buildings Project (P175894)\n\n\n(e) Number of government staff and technical professionals trained in the design and implementation\n\nof building retrofitting and renovation, including with the latest technologies.\n\n\n**D. Project Description**\n\n11. The proposed Project would support improvements in seismic and disaster resilience and energy efficiency of\ncentral government and central government affiliated buildings through retrofitting and renovation or demolition and\nreconstruction. It is anticipated that the Project will support interventions in buildings such as education buildings (preprimary and tertiary) <sup>8</sup> [^8: Through a parallel Project – Disaster risk Management in Schools (P157683), the Bank is supporting disaster resilience and energy\nefficiency interventions in primary and secondary schools under the Ministry of National Education.], dormitories, hospitals, and public administrative buildings. Buildings will be identified through\nthe EEPBP and the national database of public buildings (KAYES)and will then be prioritized according to disaster risk\nand EE needs.\n\n\n12. The Project includes four components: (i) investments in central government buildings for seismic strengthening\nand improvement of EE; (ii) technical assistance, (iii) project implementation support; and (iv) Contingent Emergency\nResponse Component (CERC).\n\n\n**_Component 1. Investments in central government buildings for structural strengthening and improvement of EE_**\n\n\n13. Under this component, MoEU would support the renovation of central government and central-government\naffiliated buildings (i.e., public buildings under central line ministries, such as education facilities, dormitories and\nhospitals). The number of beneficiaries would be maximized by implementing appropriate, cost-effective structural\nretrofitting, energy efficiency improvements and as necessary other functional improvements. The Project will also\nsupport universal access improvements in buildings selected under the Project (e.g., addition of wheelchair ramps),\nenhance fire safety and will promote zero waste initiatives in renovated and reconstructed buildings. In cases where it\nis deemed economically unviable to retrofit and renovate\n\nMention: \"KAYES\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Named public-buildings database supplying the asset inventory for targeting investments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002243:8:1", "occurrence_id": "a3d902ca4d3b21b405467c6c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  agricultural production in Northern Laos <sup>16</sup> [^16: World Bank (2021). Lao Transport Corridor Connectivity Assessment Report.] . In addition, more consolidation activities could\nreduce logistics costs, especially for smallholders. The improved regional connectivity along the economic\ncorridor is already attracting more tourists, which will, in turn, promote the local economy and employment.\n\n24. **Dry ports and logistics parks are a key component of the national logistics development strategy and**\n**action plan, which was approved in 2015.** In August 2021, the government approved the dry port decree,\ndefining principles, regulations, and measures for the management of dry ports. However, there remains a gap\nin the legal framework and implementing capacity. Out of nine locations for international logistics parks and\ndry ports, three dry ports have been developed through a PPP approach by the Government: Savannakhet dry\nport (in operation since 2016), Thanalaeng Dry Port (expected operation in 2022), and Pakse Dry Port (expected\noperation in 2022). Future dry port locations along the railway are in Luang Prabang, Muangxai, and Natuey.\nPrivate sector developers have shown interest in the development of dry ports and logistics parks, but there is\na need to ensure competitive and transparent PPP transactions\n\n25. **Road accidents are high and increasing, because of infrastructure characteristics, driving practices,**\n**alcohol use, weak enforcement, and limited capacity for post-crash response.** In 2019, the reported road\ntraffic crash deaths in Lao PDR were 1,020, or approximately 2.4 percent of total deaths. The Global Status\nReport on Road Safety <sup>17</sup> [^17: WHO 2018.] reports 1,120 road crash deaths, which is 16.6 fatalities per 100,000 people in Lao PDR\nand rising. Road crashes in Lao PDR are the number one cause of death for 5-14-year-olds, the number two\ncause of\n\nMention: \"Global Status\nReport on Road Safety\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports 1,120 road crash deaths and 16.6 fatalities per 100,000 in Lao PDR.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002243:4:0", "occurrence_id": "b3d61e9795126697d1d1bbea", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSoutheast Asia Regional Economic Corridor and Connectivity Project (P176088)\n\n\nconcessions to foreign investors. Laotian agricultural exports reportedly reached close to $1 billion in 2020,\ncorresponding to a 67% increase since 2018, with China accounting for approximately 80% of these exports <sup>2</sup> [^2: https://www.producereport.com/article/laotian-banana-exports-hit-china-border-closure] .\n\n\n8. **The inclusion of smallholders in export-driven supply chains, particularly women farmers and farmers**\n**from ethnic minority groups, has therefore become an urgent policy priority.** Promoting agricultural trade\nthrough investment in improving sanitary and phytosanitary standard (SPS) management capacity and export\nbusiness processes will help not only leverage local smallholders and traders to integrate into regional and\nglobal value chains but also help reduce documentary transaction time and costs, and improve their capacity\nto upgrade product quality and standard to meet market requirements of neighboring countries such as China,\nThailand and Vietnam. At production level, producer organizations and associations need be strengthened and\nlinked to economic opportunities in export-oriented production. Through provisions of equal access to farm\ninputs and agricultural services (i.e. through matching grants), small farmers, including women, would be able\nto adopt faster new agricultural technologies such as organic farming, good agricultural practices (GAP) and\nclimate-resilient production techniques and, therefore, allowing them to increase agricultural productivity and\nproduct quality for exports.\n\n9. **The Lao PDR’s road network is highly susceptible to climate change induced natural hazards, particularly**\n**floods and landslides.** Approximately 80 percent of the country’s land area is mountainous, while the\nremaining 20 percent is low lying plains along the Mekong River. This topography makes Laos very vulnerable\nto increasing heavy rainfalls, flooding, and landslides. The observed annual rainfall has already been on raise\n(Figure 1.2). Fifteen major floods have occurred in Lao PDR from 1970 to 2010. Based on\n\nMention: \"observed annual rainfall\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Observed rainfall series shown rising in the figure, establishing flood and landslide exposure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002253:5:1", "occurrence_id": "84cbfb425e709f447d340a50", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: s. Ukraine’s\nthermal (mostly coal) generators operate at low capacity factors (21%). Even nuclear generators operate\nat 65% load, significantly below industry standards.\n\n\n**10.** **The recent rapid increase in renewable energy sources (RES) within the generation mix is driven**\n**by the Government’s commitment to decarbonization and pollution reduction,** <sup>**5**</sup> [^5: In 2016, Ukraine had the highest mortality rates from air pollution per capita worldwide, according to the WHO data. Annually\nup to 66,000 people die because of air pollution in Ukraine. It is estimated that the health and mortality costs stemming from\nair pollution constitute a multi-billion-dollar burden for the national economy.] **through incentivizing**\n**private sector investments.** As shown in Figure 2, until 2018 RES accounted for a very small portion of\nelectricity generated. However, the generous FiTs for RES with no capacity caps have resulted in the rapid\ninstallation of over 8 GW of RES capacity at the end 2020, with the bulk of these additions occurring in\n2019. According to the UE’s Generation Adequacy Plan <sup>6</sup> [^6: Generation Adequacy Plan presents Ukrenergo’s view on the long-term generation capacity need for the country. UE updates\nthe Adequacy Plan regularly.], an additional 2–3 GW, would be secured through\nFiT-based power purchase agreements by the time FiT expires in 2029. Per these government projections,\nRES would account for 9 percent of the generated electricity in 2021 and 14 percent by 2029. Despite this\nrapid increase in capacity installed, the results in carbon emission reductions has not been as expected.\nDue to the lack of flexibility to balance this renewable energy generation, wind and solar generation is\noften curtailed ( while compensated by the take or pay PPAs), and part-loaded thermal power plants to\nprovide the required reserves, which is\n\nMention: \"WHO data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Established Ukraine's 2016 position as highest air-pollution mortality per capita worldwide.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002224:4:0", "occurrence_id": "d6eeeb8ce624f3f30c481e69", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHimachal Pradesh Power Sector Development Program (P176032)\n\n\n<mark>structure. Keeping in line with the expectations set forth by MoP, Government of Himachal Pradesh (GoHP) also</mark>\n<mark>formulated its 24x7 power for all roadmap in 2016. In line with the progressive policies of the state government, HP has</mark>\n<mark>seen a rapid growth in its industrial consumer base. Given that HP is one of the pioneering states in achieving 100</mark>\n<mark>percent electrification, the GoHP’s roadmap aims to further improve reliability and quality of power supply, which is</mark>\n<mark>directly correlated with a better quality of life and will contribute towards the country’s overall SDG 7 goals.</mark>\n\n\n<mark>8.</mark> **<mark>Real Gross State Domestic Product (GSDP) of Himachal Pradesh (HP), at constant (2011-12) prices, is estimated</mark>**\n**<mark>to have grown at 4.9 percent in FY2019-20.</mark>** <mark>This growth is higher than the national GDP growth rate of 4.0 percent</mark>\n<mark>for FY2019-20. Owing to the impact of the COVID-19 pandemic, HP’s real GSDP is estimated to have contracted by 6.2</mark>\n<mark>percent in FY2020-21.</mark> <mark>As per the GoHP’s Economic Survey 2020-21, the state seeks to achieve by 2022, among other</mark>\n<mark>things: (a) 24x7 power-for-all with the required quality voltage (the state has already achieved 100 percent</mark>\n<mark>electrification)\n\nMention: \"Economic Survey 2020-21\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"State survey setting the 2022 power-for-all and development targets the programme supports.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002253:3:0", "occurrence_id": "bd4abca679479c98406246ab", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nImproving Power System Resilience for European Power Grid Integration (P176114)\n\n\n**2.** **Although the economic impact from the COVID-19 outbreak appears to be less severe than**\n**initially anticipated – GDP declined by 4.4 percent in 2020 (vs 6.5 percent decline in first half of 2020) –**\nthe pandemic has exacted a heavy toll in terms of health and mortality impacts; and undermined the\ngovernment’s commitment to undertake critical reforms. Ukraine’s economic recovery in 2021 is\nexpected to be moderate – annual gross domestic product (GDP) growth at just 3.8 percent – given high\nuncertainty associated with the rollout of the vaccine and the direction of economic policies to address\nbottlenecks to investment and safeguard macroeconomic sustainability. Strong economic recovery\nremains constrained by low levels of fixed investment, exacerbated by the COVID-19 crisis. Stronger\ngrowth in fixed investment depends on progress with reforms that address structural weaknesses in the\nfinancial sector, market distortions from the lack of an agricultural land market, an anticompetitive\nenvironment, large numbers of state-owned enterprises (SOEs), and macroeconomic vulnerabilities.\n\n\n**3.** **While** **poverty declined significantly in recent years, this trend is likely to be reversed as a result**\n**of the economic contraction resulting from the COVID-19 pandemic.** The share of the population below\nthe actual Subsistence Minimum (the national poverty line) amounted to 23.3 percent in 2019, down from\n34.8 percent in the wake of the crisis in 2017, though it remains higher than in the pre-crisis period (8.4\npercent in 2013). While unemployment increased markedly in 2020 due to the COVID-19 pandemic,\nhousehold incomes remained stable on the back of rising real wages and pensions (data until Q3 of 2020).\nOverall, the\n\nMention: \"data until Q3 of 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Quarterly data through Q3 2020 underpinning the income and unemployment assessment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002270:69:0", "occurrence_id": "96855d175d6e24c00b14b639", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInclusive Connectivity and Development Project (P176164)\n\n\n**ANNEX 4: Building Climate Resilience**\n\n\n**COUNTRY: Sri Lanka**\n**Inclusive Connectivity and Development Project**\n\n**Climate Change Vulnerability Context**\n\n\n1. Climate-related hazards pose a significant threat to economic and social development in Sri Lanka.\nGermanwatch’s 2019 Global Climate Risk Index ranks Sri Lanka as the second-most climate change\naffected country in the world. <sup>34</sup> [^34: German watch 2019: Global Climate Risk Index 2019\n(https://germanwatch.org/sites/germanwatch.org/files/Global%20Climate%20Risk%20Index%202019_2.pdf)] Climate hazards in Sri Lanka include floods, droughts, landslides, storm\nsurge and cyclones. Climate change projections also suggest that the dry zones will become dryer and the\nwet zones will become wetter, with rainfall from the southwest monsoon projected to increase by 48\npercent by 2050 and to decrease by 27–29 percent from the northeast monsoon.\n\n2. These climate and natural disaster related vulnerabilities represent a major hurdle for the\nprovision of sustainable and resilient transport services and access to social and economic facilities to\nrural farmers and communities. Extreme climate related events, flooding and landslides in particular in\nrural areas, cause road damage and transport disruptions that are expected to increase in the future. The\nSri Lanka Rapid Post Disaster Needs Assessment (2017) notes that the impacts of climate induced\ndisasters, especially landslides, were disproportionally larger for the poorest sectors of population. Local\ntransport infrastructure, including rural and provincial roads, the only mode for rural farmers to reach\nmarkets, is thus more vulnerable to disaster risks due to a lack of strategic network planning, lack of\nclimate-smart investment prioritization, generally poor design standards that do not account for increased\nclimate variability, and lack of adequate maintenance. During the floods and landslides of 2017, transport\nwas the second most affected sector after housing, with damage and losses\n\nMention: \"Global Climate Risk Index 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks Sri Lanka second-most affected by climate change worldwide.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002270:69:0", "occurrence_id": "5134c46879722a66ef6ad4b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInclusive Connectivity and Development Project (P176164)\n\n\n**ANNEX 4: Building Climate Resilience**\n\n\n**COUNTRY: Sri Lanka**\n**Inclusive Connectivity and Development Project**\n\n**Climate Change Vulnerability Context**\n\n\n1. Climate-related hazards pose a significant threat to economic and social development in Sri Lanka.\nGermanwatch’s 2019 Global Climate Risk Index ranks Sri Lanka as the second-most climate change\naffected country in the world. <sup>34</sup> [^34: German watch 2019: Global Climate Risk Index 2019\n(https://germanwatch.org/sites/germanwatch.org/files/Global%20Climate%20Risk%20Index%202019_2.pdf)] Climate hazards in Sri Lanka include floods, droughts, landslides, storm\nsurge and cyclones. Climate change projections also suggest that the dry zones will become dryer and the\nwet zones will become wetter, with rainfall from the southwest monsoon projected to increase by 48\npercent by 2050 and to decrease by 27–29 percent from the northeast monsoon.\n\n2. These climate and natural disaster related vulnerabilities represent a major hurdle for the\nprovision of sustainable and resilient transport services and access to social and economic facilities to\nrural farmers and communities. Extreme climate related events, flooding and landslides in particular in\nrural areas, cause road damage and transport disruptions that are expected to increase in the future. The\nSri Lanka Rapid Post Disaster Needs Assessment (2017) notes that the impacts of climate induced\ndisasters, especially landslides, were disproportionally larger for the poorest sectors of population. Local\ntransport infrastructure, including rural and provincial roads, the only mode for rural farmers to reach\nmarkets, is thus more vulnerable to disaster risks due to a lack of strategic network planning, lack of\nclimate-smart investment prioritization, generally poor design standards that do not account for increased\nclimate variability, and lack of adequate maintenance. During the floods and landslides of 2017, transport\nwas the second most affected sector after housing, with damage and losses\n\nMention: \"Sri Lanka Rapid Post Disaster Needs Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Assessment finding landslide and flood impacts fell disproportionately on the poorest populations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002272:3:2", "occurrence_id": "ee99ae980173146e6b5b2e70", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  losses.\n\n\n1 Economic and Social Statistics of Sri Lanka 2020, Central Bank of Sri Lanka <u>[https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf](https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf)</u>\n2 Economic and Social Statistics of Sri Lanka 2020, Central Bank of Sri Lanka <u>[https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf](https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf)</u>\n[3http://www.statistics.gov.lk/GenderStatistics/StaticalInformation/ContributiontoEconomy/EconomicallyActivePopulationbySectorAndSex2017](http://www.statistics.gov.lk/GenderStatistics/StaticalInformation/ContributiontoEconomy/EconomicallyActivePopulationbySectorAndSex2017-2019)\n<u>[-2019](http://www.statistics.gov.lk/GenderStatistics/StaticalInformation/ContributiontoEconomy/EconomicallyActivePopulationbySectorAndSex2017-2019)</u> (Accessed 25th March 2021)\n4 Aging population of Sri Lanka – A thematic Report based on Census of Population and Housing 2020, Department of Census and Statistics <u>[https://srilanka.unfpa\n\nMention: \"Economic and Social Statistics of Sri Lanka 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Central Bank statistical compendium cited for the macroeconomic and sector figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002272:3:2", "occurrence_id": "68b186a02d92038ab808ba95", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  losses.\n\n\n1 Economic and Social Statistics of Sri Lanka 2020, Central Bank of Sri Lanka <u>[https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf](https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf)</u>\n2 Economic and Social Statistics of Sri Lanka 2020, Central Bank of Sri Lanka <u>[https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf](https://www.cbsl.gov.lk/sites/default/files/cbslweb_documents/statistics/otherpub/ess_2020_e1.pdf)</u>\n[3http://www.statistics.gov.lk/GenderStatistics/StaticalInformation/ContributiontoEconomy/EconomicallyActivePopulationbySectorAndSex2017](http://www.statistics.gov.lk/GenderStatistics/StaticalInformation/ContributiontoEconomy/EconomicallyActivePopulationbySectorAndSex2017-2019)\n<u>[-2019](http://www.statistics.gov.lk/GenderStatistics/StaticalInformation/ContributiontoEconomy/EconomicallyActivePopulationbySectorAndSex2017-2019)</u> (Accessed 25th March 2021)\n4 Aging population of Sri Lanka – A thematic Report based on Census of Population and Housing 2020, Department of Census and Statistics <u>[https://srilanka.unfpa\n\nMention: \"Census of Population and Housing 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census underlying the thematic report on the ageing population.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002270:71:0", "occurrence_id": "82546fa215ac8ef3f8139613", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInclusive Connectivity and Development Project (P176164)\n\n\n`o` <u>Promoting economic growth. By integrating agricultural production data and market location</u>\n\ndata, this analysis evaluates the accessibility of rural farmers to markets as the key indicator to\nfoster economic growth. It detects which rural road improvement interventions will lead to\nmost accessibility gains for agriculture products and rural farmers at the network level.\nAccessibility is measured as the ability of rural farmers to reach collection centers/points and\nwholesale markets within a certain time.\n\n\n`o` <u>Promoting human development. This analysis uses location data of schools and hospitals to</u>\n\nevaluate the accessibility of rural residents to key social services as the indicator to foster\nhuman development. It detects which rural road improvement interventions will lead to most\naccessibility gains for rural residents to reach the closest schools and hospitals within a certain\ntime.\n\n`o` <u>Enhancing climate resilience. By integrating planning with the hazard maps, this analysis</u>\n\nevaluates the vulnerability of rural roads to floods, landslides and other risks and the impact of\ndisruptions to accessibility for economic growth and human development at the network level.\nRoad vulnerability to climate and disaster risk is assessed by the exposure levels from flood /\nlandslide maps and the type and condition of roads. This analysis detects which and what types\nof rural road improvement interventions will lead to most resilience gains overall for rural road\ninfrastructure, as well as for the users to access key services.\n\n\n(b) _Engineering and design._ Improved engineering will be implemented through incorporating climate\nresilient design features in road improvements to mitigate the impact of flooding and landslides.\nAdaptations solutions will be used to enhance the climate resilience of the current unpaved rural road\ninfrastructure, including surface sealing/resilient pavement, raising flood-prone road sections above flood\nlevels, constructing concrete pavement in selected flood vulnerable locations, strengthening or replacing\nbridges with the design\n\nMention: \"agricultural production data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Production data integrated with market locations to measure rural farmers' market accessibility.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002270:71:0", "occurrence_id": "e1f845f00fb9c0587e2bb93b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInclusive Connectivity and Development Project (P176164)\n\n\n`o` <u>Promoting economic growth. By integrating agricultural production data and market location</u>\n\ndata, this analysis evaluates the accessibility of rural farmers to markets as the key indicator to\nfoster economic growth. It detects which rural road improvement interventions will lead to\nmost accessibility gains for agriculture products and rural farmers at the network level.\nAccessibility is measured as the ability of rural farmers to reach collection centers/points and\nwholesale markets within a certain time.\n\n\n`o` <u>Promoting human development. This analysis uses location data of schools and hospitals to</u>\n\nevaluate the accessibility of rural residents to key social services as the indicator to foster\nhuman development. It detects which rural road improvement interventions will lead to most\naccessibility gains for rural residents to reach the closest schools and hospitals within a certain\ntime.\n\n`o` <u>Enhancing climate resilience. By integrating planning with the hazard maps, this analysis</u>\n\nevaluates the vulnerability of rural roads to floods, landslides and other risks and the impact of\ndisruptions to accessibility for economic growth and human development at the network level.\nRoad vulnerability to climate and disaster risk is assessed by the exposure levels from flood /\nlandslide maps and the type and condition of roads. This analysis detects which and what types\nof rural road improvement interventions will lead to most resilience gains overall for rural road\ninfrastructure, as well as for the users to access key services.\n\n\n(b) _Engineering and design._ Improved engineering will be implemented through incorporating climate\nresilient design features in road improvements to mitigate the impact of flooding and landslides.\nAdaptations solutions will be used to enhance the climate resilience of the current unpaved rural road\ninfrastructure, including surface sealing/resilient pavement, raising flood-prone road sections above flood\nlevels, constructing concrete pavement in selected flood vulnerable locations, strengthening or replacing\nbridges with the design\n\nMention: \"location data of schools and hospitals\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Service-point locations used to measure residents' access to schools and hospitals.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002270:71:0", "occurrence_id": "409a591ac971a91d026faf91", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInclusive Connectivity and Development Project (P176164)\n\n\n`o` <u>Promoting economic growth. By integrating agricultural production data and market location</u>\n\ndata, this analysis evaluates the accessibility of rural farmers to markets as the key indicator to\nfoster economic growth. It detects which rural road improvement interventions will lead to\nmost accessibility gains for agriculture products and rural farmers at the network level.\nAccessibility is measured as the ability of rural farmers to reach collection centers/points and\nwholesale markets within a certain time.\n\n\n`o` <u>Promoting human development. This analysis uses location data of schools and hospitals to</u>\n\nevaluate the accessibility of rural residents to key social services as the indicator to foster\nhuman development. It detects which rural road improvement interventions will lead to most\naccessibility gains for rural residents to reach the closest schools and hospitals within a certain\ntime.\n\n`o` <u>Enhancing climate resilience. By integrating planning with the hazard maps, this analysis</u>\n\nevaluates the vulnerability of rural roads to floods, landslides and other risks and the impact of\ndisruptions to accessibility for economic growth and human development at the network level.\nRoad vulnerability to climate and disaster risk is assessed by the exposure levels from flood /\nlandslide maps and the type and condition of roads. This analysis detects which and what types\nof rural road improvement interventions will lead to most resilience gains overall for rural road\ninfrastructure, as well as for the users to access key services.\n\n\n(b) _Engineering and design._ Improved engineering will be implemented through incorporating climate\nresilient design features in road improvements to mitigate the impact of flooding and landslides.\nAdaptations solutions will be used to enhance the climate resilience of the current unpaved rural road\ninfrastructure, including surface sealing/resilient pavement, raising flood-prone road sections above flood\nlevels, constructing concrete pavement in selected flood vulnerable locations, strengthening or replacing\nbridges with the design\n\nMention: \"hazard maps\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Hazard mapping integrated into planning to evaluate rural road vulnerability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002270:71:0", "occurrence_id": "0ec4f1e10ff3192d5d22af51", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nInclusive Connectivity and Development Project (P176164)\n\n\n`o` <u>Promoting economic growth. By integrating agricultural production data and market location</u>\n\ndata, this analysis evaluates the accessibility of rural farmers to markets as the key indicator to\nfoster economic growth. It detects which rural road improvement interventions will lead to\nmost accessibility gains for agriculture products and rural farmers at the network level.\nAccessibility is measured as the ability of rural farmers to reach collection centers/points and\nwholesale markets within a certain time.\n\n\n`o` <u>Promoting human development. This analysis uses location data of schools and hospitals to</u>\n\nevaluate the accessibility of rural residents to key social services as the indicator to foster\nhuman development. It detects which rural road improvement interventions will lead to most\naccessibility gains for rural residents to reach the closest schools and hospitals within a certain\ntime.\n\n`o` <u>Enhancing climate resilience. By integrating planning with the hazard maps, this analysis</u>\n\nevaluates the vulnerability of rural roads to floods, landslides and other risks and the impact of\ndisruptions to accessibility for economic growth and human development at the network level.\nRoad vulnerability to climate and disaster risk is assessed by the exposure levels from flood /\nlandslide maps and the type and condition of roads. This analysis detects which and what types\nof rural road improvement interventions will lead to most resilience gains overall for rural road\ninfrastructure, as well as for the users to access key services.\n\n\n(b) _Engineering and design._ Improved engineering will be implemented through incorporating climate\nresilient design features in road improvements to mitigate the impact of flooding and landslides.\nAdaptations solutions will be used to enhance the climate resilience of the current unpaved rural road\ninfrastructure, including surface sealing/resilient pavement, raising flood-prone road sections above flood\nlevels, constructing concrete pavement in selected flood vulnerable locations, strengthening or replacing\nbridges with the design\n\nMention: \"flood /\nlandslide maps\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Maps supplying exposure levels that determine road climate vulnerability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002296:12:0", "occurrence_id": "e16611913fc4c746802fca40", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUganda Skills Development in Refugee and Host Communities (P176263)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n1 See “Tackling the Demographic Challenge in Uganda (World Bank, 2020).\n2 See https://www.worldbank.org/en/country/uganda/overview.\n[3 State of Skills, ILO, 2020 (https://www.ilo.org/skills/pubs/WCMS_736694/lang--en/index.html)](https://www.ilo.org/skills/pubs/WCMS_736694/lang--en/index.html)\n4 This figure is higher than the regional average of 80%.\n5 United Nations Office for Coordination and Human Affairs. https://www.unocha.org/southern-and-eastern-africarosea/uganda#:~:text=Uganda%20is%20currently%20host%20to,refugees%20are%20from%20South%20Sudan.\n6 World Bank. 2019. Informing the Refugee Policy Response in Uganda. Results from the Uganda Refugee and Host Communities. 2018\nHousehold Survey.\n7 REACH household survey for the World Bank, 2019.\n8 World Bank. 2019. Informing the Refugee Policy Response in Uganda. Results from the Uganda Refugee and Host Communities. 2018\nHousehold Survey.\n9 Ibid.\n10 World Bank. 2019. Informing the Refugee Policy Response in Uganda. Results from the Uganda Refugee and Host Communities.\n2018 Household Survey.\n11 Ibid.\n12 Monitoring Social and Economic Impacts of COVID-19 on Refugees in Uganda: Results from the High-Frequency Phone Survey. 2021.\nWorld Bank and Uganda Bureau of Statistics (UBOS).\n13 The GoU’s TVET Policy (2019) presents a policy vision to prepare a “coordinated, labour-market responsive TVET system\n\nMention: \"Uganda Refugee and Host Communities. 2018\nHousehold Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household survey informing the refugee policy response and the project's design.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002296:12:0", "occurrence_id": "0594b375ae70e8ab61dd4e3d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUganda Skills Development in Refugee and Host Communities (P176263)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n1 See “Tackling the Demographic Challenge in Uganda (World Bank, 2020).\n2 See https://www.worldbank.org/en/country/uganda/overview.\n[3 State of Skills, ILO, 2020 (https://www.ilo.org/skills/pubs/WCMS_736694/lang--en/index.html)](https://www.ilo.org/skills/pubs/WCMS_736694/lang--en/index.html)\n4 This figure is higher than the regional average of 80%.\n5 United Nations Office for Coordination and Human Affairs. https://www.unocha.org/southern-and-eastern-africarosea/uganda#:~:text=Uganda%20is%20currently%20host%20to,refugees%20are%20from%20South%20Sudan.\n6 World Bank. 2019. Informing the Refugee Policy Response in Uganda. Results from the Uganda Refugee and Host Communities. 2018\nHousehold Survey.\n7 REACH household survey for the World Bank, 2019.\n8 World Bank. 2019. Informing the Refugee Policy Response in Uganda. Results from the Uganda Refugee and Host Communities. 2018\nHousehold Survey.\n9 Ibid.\n10 World Bank. 2019. Informing the Refugee Policy Response in Uganda. Results from the Uganda Refugee and Host Communities.\n2018 Household Survey.\n11 Ibid.\n12 Monitoring Social and Economic Impacts of COVID-19 on Refugees in Uganda: Results from the High-Frequency Phone Survey. 2021.\nWorld Bank and Uganda Bureau of Statistics (UBOS).\n13 The GoU’s TVET Policy (2019) presents a policy vision to prepare a “coordinated, labour-market responsive TVET system\n\nMention: \"REACH household survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Companion household survey conducted for the Bank on refugee and host community conditions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002296:2:2", "occurrence_id": "3b508270e906af4af70fc53a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 000 jobs per year to keep up with the growing working-age population** <sup>**2**</sup> **.** Uganda\ncurrently relies heavily on low productivity agriculture, which amounts to about 25% of the economy, 50% of exports\nand 70% of employment. To keep up with growth in the labor force, the economy needs to create 700,000 jobs per\nyear, which far exceeds the 75,000 jobs that are currently created each year. Raising incomes further will require\nimproving productivity in agriculture and exploring opportunities for absorbing excess labor into more productive\nemployment in industry and services.\n\n\n6. **Uganda’s labor market is characterized by scarce employment opportunities that are concentrated in the informal**\n**sector** . Only half of working-age Ugandans are active in the labor force, and 48 percent are employed. Labor force\n\n\nJun 14, 2021 Page 3 of 14\n\nMention: \"Labor force\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Labour force measures showing only half of working-age Ugandans economically active.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002299:24:2", "occurrence_id": "790cabe438775ed10e69c71c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  employment in\nSamoa, in 2017, only 34.2 percent of women aged 15-64 were in the labour force, compared to 58.4 percent of\nmen. <sup>30</sup> Women represented about 37 percent of paid employees and about 38 percent of persons in formal\nemployment. <sup>31</sup> SARIP will promote women’s paid employment by allocating at least 20 percent of road\n\n\n28 Data from the 2017 Samoa Labour Force Survey retrieved from ILOSTAT.\n29 Ibid.\n\n30 2017 Samoa Labour Force survey estimates retrieved from ILOSTAT.\n31 Ibid.\n\n\nPage 20 of 76\n\nMention: \"2017 Samoa Labour Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 34.2 percent female versus 58.4 percent male labour-force participation rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002299:24:2", "occurrence_id": "e7b62ebc08b2095ec9f3e068", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  employment in\nSamoa, in 2017, only 34.2 percent of women aged 15-64 were in the labour force, compared to 58.4 percent of\nmen. <sup>30</sup> Women represented about 37 percent of paid employees and about 38 percent of persons in formal\nemployment. <sup>31</sup> SARIP will promote women’s paid employment by allocating at least 20 percent of road\n\n\n28 Data from the 2017 Samoa Labour Force Survey retrieved from ILOSTAT.\n29 Ibid.\n\n30 2017 Samoa Labour Force survey estimates retrieved from ILOSTAT.\n31 Ibid.\n\n\nPage 20 of 76\n\nMention: \"2017 Samoa Labour Force survey estimates\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Same survey's estimates behind the shares of paid and formal employment held by women.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002311:2:1", "occurrence_id": "be42421f9dbf4bde2fcbf29c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  interventions included emergency health programs and\nsocial programs, such as the Sudan Family Support Program. Despite the government’s efforts to implement\nan ambitious reform agenda, managing the impact of the reforms and shielding the most vulnerable in the\ncurrent context is proving significantly challenging.\n\n\n**The lack of data limits the ability to adequately asses the magnitude of the economic crisis on the most**\n**vulnerable and to design evidence-based and targeted policies.** Sudan has been characterized by a high\nprevalence of poverty and inequality with marked spatial disparities. According to the most recent household\nsurvey from 2014/15 (NHBPS 2014-15), the poverty level (based on the national poverty line) was 36.1%,\nwith approximately 11.15 million Sudanese residents living in poverty. At the state level, South Kordufan,\nWest and Central Darfur experienced the highest poverty incidence. However, since 2014/15, Sudan has\ngone through severe economic and social problems that likely deteriorated the living standards of the\npopulation and that have been further intensified by the pandemic. The escalating food prices that Sudan has\nbeen experiencing since 2018 contributed to the shortages of food and fuel. Early in 2021, the country has\nalso been experiencing high increases in health and transport prices. All of these developments have likely\nimpacted populations differently by region and socioeconomic status. The lack of recent data limits the\ngovernment’s ability to direct resources to those most at need. The World Bank, in partnership with the\nCentral Bureau of Statistics, is implementing a high frequency survey using mobile phones to monitor COVID19 and its impact on households and enterprises. While this small panel survey provides a snapshot of living\nconditions across Sudan, it is not an appropriate platform to collect consumption data (needed to measure\npoverty) and more comprehensive information on social indicators.\n\n\nMar 02, 2021 Page 3 of 13\n\nMention: \"NHBPS 2014-15\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household budget survey giving the 36.1 percent national poverty rate and 11.15 million poor.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002311:2:1", "occurrence_id": "eb8e009bdfb61acc73e0e607", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  interventions included emergency health programs and\nsocial programs, such as the Sudan Family Support Program. Despite the government’s efforts to implement\nan ambitious reform agenda, managing the impact of the reforms and shielding the most vulnerable in the\ncurrent context is proving significantly challenging.\n\n\n**The lack of data limits the ability to adequately asses the magnitude of the economic crisis on the most**\n**vulnerable and to design evidence-based and targeted policies.** Sudan has been characterized by a high\nprevalence of poverty and inequality with marked spatial disparities. According to the most recent household\nsurvey from 2014/15 (NHBPS 2014-15), the poverty level (based on the national poverty line) was 36.1%,\nwith approximately 11.15 million Sudanese residents living in poverty. At the state level, South Kordufan,\nWest and Central Darfur experienced the highest poverty incidence. However, since 2014/15, Sudan has\ngone through severe economic and social problems that likely deteriorated the living standards of the\npopulation and that have been further intensified by the pandemic. The escalating food prices that Sudan has\nbeen experiencing since 2018 contributed to the shortages of food and fuel. Early in 2021, the country has\nalso been experiencing high increases in health and transport prices. All of these developments have likely\nimpacted populations differently by region and socioeconomic status. The lack of recent data limits the\ngovernment’s ability to direct resources to those most at need. The World Bank, in partnership with the\nCentral Bureau of Statistics, is implementing a high frequency survey using mobile phones to monitor COVID19 and its impact on households and enterprises. While this small panel survey provides a snapshot of living\nconditions across Sudan, it is not an appropriate platform to collect consumption data (needed to measure\npoverty) and more comprehensive information on social indicators.\n\n\nMar 02, 2021 Page 3 of 13\n\nMention: \"high frequency survey using mobile phones\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Mobile phone panel monitoring COVID-19 impacts, judged unsuitable for consumption-based poverty measurement.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002314:15:0", "occurrence_id": "5fc52f2e7fc1aa05696702bd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKiribati Health Systems Strengthening Project (P176306)\n\n\nKiribati are ischemic heart diseases, stroke and diabetes. The draft NHSP reports that, based on 2019 data, NCDs are\nestimated to account for 54 deaths per 10,000 population aged 30 to 69 years in Kiribati, and the probability of dying\nfrom any cardiovascular, cancer, diabetes, and chronic respiratory diseases between the ages of 30 and 70 is 28.4\npercent. The major risk factors in the adult population are tobacco use, unhealthy eating, alcohol and kava\nconsumption and physical inactivity. Additionally, mental illness, suicides, domestic violence and injuries are growing\nhealth concerns that need to be addressed.\n\n\n**_Figure 1: Disease Burden by Case in Kiribati, 2009-2019_**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSource: Institute for Health Metrics Evaluation, Global Burden of Disease Study 2019 Results\n\n\n11. **The leading communicable diseases reported in Kiribati include TB, leprosy, trachoma, diarrhea, dysentery, and**\n**sexually transmitted infections;** **notwithstanding a steady decline over the years, the incidence of TB remains one**\n**of the highest in the region.** <sup>**21**</sup> [^21: In 2019, 419 case notifications per 100,000 population, United Nations Development Program/Global Fund Multi-Country Western Pacific Integrated HIV/TB\nProgram.] Kiribati is one of three countries in the Pacific where leprosy remains a public health\nproblem, and neglected tropical diseases (i.e., trachoma, and soil-transmitted helminthiases) are common. Poor water\nquality, poor sanitary conditions, and unhygienic behaviors, among other things, contribute to the most reported and\nprevalent health issues (diarrhea and dysentery); these diseases are highly contagious and a major contributor to\nunder-five morbidity and mortality.\n\n\n12. **Infection prevention and control (IPC) and health care waste management (HCWM) also remain a key challenge**\n**in Kiribati.** An\n\nMention: \"2019 data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reported in the draft health sector plan as the basis for the NCD mortality estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002314:15:0", "occurrence_id": "22416333c878453c4a633b37", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKiribati Health Systems Strengthening Project (P176306)\n\n\nKiribati are ischemic heart diseases, stroke and diabetes. The draft NHSP reports that, based on 2019 data, NCDs are\nestimated to account for 54 deaths per 10,000 population aged 30 to 69 years in Kiribati, and the probability of dying\nfrom any cardiovascular, cancer, diabetes, and chronic respiratory diseases between the ages of 30 and 70 is 28.4\npercent. The major risk factors in the adult population are tobacco use, unhealthy eating, alcohol and kava\nconsumption and physical inactivity. Additionally, mental illness, suicides, domestic violence and injuries are growing\nhealth concerns that need to be addressed.\n\n\n**_Figure 1: Disease Burden by Case in Kiribati, 2009-2019_**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSource: Institute for Health Metrics Evaluation, Global Burden of Disease Study 2019 Results\n\n\n11. **The leading communicable diseases reported in Kiribati include TB, leprosy, trachoma, diarrhea, dysentery, and**\n**sexually transmitted infections;** **notwithstanding a steady decline over the years, the incidence of TB remains one**\n**of the highest in the region.** <sup>**21**</sup> [^21: In 2019, 419 case notifications per 100,000 population, United Nations Development Program/Global Fund Multi-Country Western Pacific Integrated HIV/TB\nProgram.] Kiribati is one of three countries in the Pacific where leprosy remains a public health\nproblem, and neglected tropical diseases (i.e., trachoma, and soil-transmitted helminthiases) are common. Poor water\nquality, poor sanitary conditions, and unhygienic behaviors, among other things, contribute to the most reported and\nprevalent health issues (diarrhea and dysentery); these diseases are highly contagious and a major contributor to\nunder-five morbidity and mortality.\n\n\n12. **Infection prevention and control (IPC) and health care waste management (HCWM) also remain a key challenge**\n**in Kiribati.** An\n\nMention: \"Global Burden of Disease Study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Disease burden series behind the 2009–2019 figure for Kiribati.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002329:25:0", "occurrence_id": "7a725ccdb46cdf3bd3460409", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCOVID-19 Social Protection Emergency Response Support Project (P176352)\n\n\n_the expansion of the provision of PCT to additional poor households under the AMEN Social Program_\n_through the strengthening of the AMEN Social Program targeting system_ .\n\n35. The first sub-component will support the GOT’s emergency measures to mitigate the impact of\nCOVID-19 crisis on poor and vulnerable households by financing (temporary cash transfers of US$100\nmillion. MOSA will use the AMEN Social program as a framework to implement TCT through a vertical and\nhorizontal expansion of existing cash transfer services. The second sub-component will provide direct\nfinancing, retroactively, of PCT under the AMEN Social program to mitigate the impact of the COVID-19\ncrisis on poor households and ensure its continuity (US$120 million). The third subcomponent will focus\non improving the coverage of poor households through expanding the PCT using the new delivery system\nof the AMEN Social program, including the targeting model (US$25 million). The proposed activities will\nbe grounded in the current AMEN Social program structure and coverage, as well as the experience of\nemergency cash transfers during the last year.\n\n\n**_Subcomponent 1.1: TCT to Poor and Vulnerable Households_** **(** **_US$100 million)_**\n\n36. **Financing of TCT will cover approximately one million poor and vulnerable households.** Building\non the lessons learned from the Emergency Cash Transfers delivered in 2020 to mitigate the impact of\nCOVID-19, the GOT will provide TCTs to poor and vulnerable households using the AMEN Social registry.\nCurrently, the database includes: (i) about 260,000 poor households (8 percent of the population)\nreceiving PCT; and (ii) 450,000 vulnerable households enrolled in the AMEN Social registry that are\nreceiving\n\nMention: \"AMEN Social registry\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Social registry holding enrolled poor and vulnerable households, used to deliver temporary cash transfers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002314:38:0", "occurrence_id": "66880cbcf0592c77907dce7a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKiribati Health Systems Strengthening Project (P176306)\n\n\n75. **Project risks and impacts will be managed through the inclusion of E&S risk management activities and**\n**instruments.** Following a World Bank appraisal mission on February 18, 2022 the following instruments have been\nfinalized and disclosed on the GOK’s website: (a) environmental and social commitment plan (ESCP); (b) labor\nmanagement procedures (LMP); (c) stakeholder engagement plan (SEP); (d) resettlement framework (RF); (e)\nenvironmental and social management framework (ESMF); and (f) a preliminary environmental and social impact\nassessment (P-ESIA) for Kiritimati Hospital. The mission reviewed the ESCP conditions and confirmed that MHMS\nwould raise any questions that they might have prior to its final agreement during negotiations. MHMS and KFSU\nagreed that the KFSU E&S team will provide support and input into the development of the project’s annual work\nplan. <sup>62</sup> [^62: Other priority next steps were discussed and include: (a) update of the P-ESIA for the Kiritimati Hospital to final once designs have been reviewed and updated\nto ensure climate resilience; (b) E&S screening of sub projects in accordance with the ESMF; and (c) subsequent instrument development and approval.]\n\n\n**E. Gender**\n\n\n76. **The KSDIS reveals significant gaps in the quality of antenatal and delivery services available to women from**\n**outer islands, as well as an overwhelming prevalence of GBV (see Sectoral and Institutional Context for further**\n**background on antenatal care).** With respect to domestic violence, the results of the KSDIS are of considerable\nconcern. Approximately 2 out of 3 of ever married women aged 15-49 years reported having experienced emotional,\nphysical, or sexual violence at the hands of their current or most recent husband/partner. More\n\nMention: \"KSDIS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey revealing service-quality gaps for outer-island women and high gender-based violence prevalence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002314:38:1", "occurrence_id": "79c261908ccbeb6db706029a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  their current or most recent husband/partner. More than half of female\nrespondents (54 percent) reported ever experiencing some form of physical or sexual violence by an intimate partner\nand 43 percent reported such experiences over the past 12 months. The KSDIS also reveals that women from low\nsocioeconomic backgrounds are particularly vulnerable, with close to 50 percent of those in the lowest income quintile\nexperiencing sexual or physical violence at the hands of a partner in the past year. Despite the endemic proportions\nof GBV in the country, women’s help-seeking behavior is low. In 2020, the MHMS reported that there were only about\n495 reported incidents of family-based violence, up from 386 in 2019 - an increase that likely reflects the negative\nimpacts of the pandemic. Of women experiencing violence, a majority (78 percent) do not report or seek help from\nformal services. A large proportion of women, 42 percent, have not told anyone about their partner's violence.\nMoreover, of the women who sought help for domestic violence, only 13 percent went to the police and less than 1\npercent (0.7 percent) sought help from medical personnel or social service organizations. Help was most commonly\nsought through informal channels - from family, friends and neighbors. While this data is not disaggregated by\nlocation, the lack of services and information in rural areas means that rural survivors can only access help through\ninformal channels.\n\n\n77. **In recent years, development partners, the GOK and non-governmental organizations have intensified their**\n**efforts towards prevention and response to GBV.** With support from DFAT, in 2018 the Kiribati Women and Children\nSupport Center in Bairiki (in the capital South Tarawa) was established to provide free counseling, access to legal\ninformation, and case management. It also operates a telephone helpline, managed by the Kiribati Family Health\nAssociation, a local non-governmental organization which aims to develop a network of support\n\nMention: \"KSDIS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows 54 percent of women experienced intimate partner violence, with higher risk in the lowest income quintile.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002311:4:0", "occurrence_id": "0c476ebb51a0ed0d9a749524", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSudan Household Budget and Poverty Survey\n\n\ncollected through surveys like the Multiple Indicator Cluster Surveys or Labor Force surveys have not been\ncollected since 2014 and 2011, respectively. There has not been an agriculture survey or census in over 20\nyears, and the latest Industrial Establishments’ Survey was fielded in 2003. The Government of Sudan is\ncurrently trying to secure funding for the next Population and Housing Census and Agriculture census. The\naim is to implement these by 2023. In addition, CBS is currently preparing new surveys as shown in Table 2.\n\n\n**According to the World Bank’s Statistical Capacity Indicator (SCI), Sudan scored 54.44 out of 100 in 2019,**\n**just below the regional average of 57.14.** The SCI assesses the capacity of the country’s national statistical\nsystem (NSS) across three dimensions: statistical methodology, source data, and periodicity. _Statistical_\n_methodology_ measures a country’s ability to adhere to internationally recommended standards and\nmethods. In this area Sudan scores 40, and is mainly determined by macroeconomic indicators. _Source data_\nreflects whether a country conducts data collection activity in line with internationally recommended\nperiodicity and whether data from administrative systems are available and reliable for statistical estimation\npurposes. In this dimension Sudan also scores 40 and is mostly affected by the lack of timely source\ninformation. There has not been any fully-fledged agriculture census or survey in Sudan before. The MICS,\nNHBPS, and the Population and Housing Census are not conducted as recommended internationally.\nInformation was also unavailable to confirm completeness of vital registration system coverage. Lastly,\n_periodicity_, attempts to measure the extent to which data are made accessible to users through the\ntransformation of source data into timely statistical outputs. Sudan’s score is 83.33, the highest among the\nthree dimensions.\n\n|Table 2. Main statistical operations planned for 2021-2023|Col2|\n|\n\nMention: \"Statistical Capacity Indicator\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Scores Sudan's statistical system at 54.44 of 100, below the regional average, across three dimensions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002329:27:1", "occurrence_id": "dbafc5b423f090b7d2eac140", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  2). As a result, the PCT\ncoverage will increase from 8 to 10 percent of the population, and the targeting efficiency of the program\nwill increase from 17 percent to more than 30 percent.\n\n44. **MOSA will initially apply a simplified specification Proxy Means Test (PMT) scoring model that**\n**does not require the finalization of the social survey** . The performance of this model specification is very\nsimilar to the full specification, but the calculation of the score is only based on administrative data\navailable in the AMEN Social registry. It will allow MOSA to have a preliminary list of households that may\nbe eligible for the PCT. This approach will allow the prioritization of the households to be visited by social\nworkers, and overcome the challenges relating to the finalization of the field survey of all registered\nhouseholds, particularly in the context of the COVID-19 crisis. The social survey will provide needed\ninformation to confirm their eligibility using the complete targeting model.\n\n**Component 2. Cash Transfers for Human Capital Development (US$42 million)**\n\n45. **Component 2 will support the design and implementation of the Family Allowance, with**\n**accompanying measures for children aged 0 to 5 years from poor and vulnerable households** . _This_\n_component will support the strengthening of the family allowance sub-program under the AMEN Social_\n_program through: (i) the provision of Family Allowance for children 0 to 5 years old of poor and vulnerable_\n_households under the AMEN Social program; (ii) the carrying out of an assessment of the existing Family_\n_Allowance pilot program and preparation and validation of an action plan with recommendations for_\n_strengthening the family allowance sub-program,_ _<mark>including through the development of accompanying</mark>_\n_<mark>measures aimed at fostering behavioral changes in parenting practices;</mark>_\n\nMention: \"administrative data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Registry-held administrative fields used to compute the proxy means test score without a new survey.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002329:27:1", "occurrence_id": "f343beae5cca0df10376cb38", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  2). As a result, the PCT\ncoverage will increase from 8 to 10 percent of the population, and the targeting efficiency of the program\nwill increase from 17 percent to more than 30 percent.\n\n44. **MOSA will initially apply a simplified specification Proxy Means Test (PMT) scoring model that**\n**does not require the finalization of the social survey** . The performance of this model specification is very\nsimilar to the full specification, but the calculation of the score is only based on administrative data\navailable in the AMEN Social registry. It will allow MOSA to have a preliminary list of households that may\nbe eligible for the PCT. This approach will allow the prioritization of the households to be visited by social\nworkers, and overcome the challenges relating to the finalization of the field survey of all registered\nhouseholds, particularly in the context of the COVID-19 crisis. The social survey will provide needed\ninformation to confirm their eligibility using the complete targeting model.\n\n**Component 2. Cash Transfers for Human Capital Development (US$42 million)**\n\n45. **Component 2 will support the design and implementation of the Family Allowance, with**\n**accompanying measures for children aged 0 to 5 years from poor and vulnerable households** . _This_\n_component will support the strengthening of the family allowance sub-program under the AMEN Social_\n_program through: (i) the provision of Family Allowance for children 0 to 5 years old of poor and vulnerable_\n_households under the AMEN Social program; (ii) the carrying out of an assessment of the existing Family_\n_Allowance pilot program and preparation and validation of an action plan with recommendations for_\n_strengthening the family allowance sub-program,_ _<mark>including through the development of accompanying</mark>_\n_<mark>measures aimed at fostering behavioral changes in parenting practices;</mark>_\n\nMention: \"AMEN Social registry\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Registry supplying the administrative fields and holding the preliminary eligibility list.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002329:36:1", "occurrence_id": "a04bed95e4f3969aa90c8669", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  from existing safety nets.\n\n69. **Cash transfers are the fastest and most effective way to protect households against shocks,**\n**including climate-related shocks** <sup>30</sup> [^30: Harman, L., F. Bastagli, J. Hagen-Zanker, G. Sturge, and V. Barca. 2016. Cash Transfers: What Does the Evidence Say? London:\nOverseas Development Institute.] **.** Experience from other crises has shown that the use of cash transfers\nis preferable to other forms of (in-kind) support, except when markets are not functioning. Support through\ncash transfers is operationally easier to channel, more cost-effective, and provides beneficiaries the\nfreedom to spend the money to meet their needs in any way they see fit. When markets are functioning,\ncash assistance allows for more dignified access to a larger variety of food options and other basic needs,\nas well as the ability to make productive and human capital investments. Moreover, cash transfers help\nbuild household resilience to climate-related shocks and worsening livelihood conditions by facilitating\ndiversification of livelihoods, building savings, and avoiding negative coping strategies. Through its\nmoderate generosity, the TCT has provided a minimum income to these households to finance their food,\nlodging, and health needs, amid compulsory confinement and loss of livelihoods.\n\n70. **Tunisia was able to quickly extend emergency social safety nets using the AMEN Social database.**\nThe government rapidly launched social measures to mitigate the impact of the COVID-19 crisis, including\nvertical and horizontal expansion of existing social safety net programs to support poor and vulnerable\nhouseholds. It used the AMEN Social database as a “first version” of a social registry to be able to roll out\nan emergency cash transfer program in a short period of time. The Bank supported the government in the\nimplementation of its COVID-19 social measures through the restructuring of the GovTech operation\n\n\n30 Harman, L., F. Bastagli, J. Hagen-Zanker, G. Sturge, and V.\n\nMention: \"AMEN Social database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Registry whose existing records allowed rapid emergency safety-net expansion during the crisis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002387:78:1", "occurrence_id": "f739c2077d9286d449585577", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  resources to support incremental costs for the seconded accountant.\n\n**(b)** **Planning and Budgeting**\n\nThe Government (EAFS unit working with the PIU) will prepare a detailed project budget either monthly or\nquarterly based on the specific activities to be executed over the life of the project for approval by the World Bank\nat least two months before the beginning of the Government budgeting process **.** This budget will be agreed with\nthe World Bank for it to be included in the Government appropriations and the relevant sector within the FGS\nbudget. Monitoring of budget execution will be done through regular submission of IFMIS generated quarterly\nreports to the World Bank. The Government will prepare the budget utilization reports as part of the quarterly\nIFRs with clear discussion on variances\n\n**(c) Accounting Systems, Policies, and Procedures**\n\nTo facilitate preparation of the relevant reports and annual financial statements, the project budgets and\nexpenditures will be recorded, classified and reported through the Government Financial Management\nInformation Systems according to the approved Standard Chart of Accounts.\n\n**(d) Internal Controls and Internal Audit**\n\n**The EAFS will ensure that requests for funds commitments/withdrawals, invoices and payment requests are**\n**consistent with signed contracts before processing and release of funds/payments** ensuring that contracts are\nregistered in IFMIS **.** They will also monitor and report on the utilization of project funds, including the fiduciary\nstandards and the reliability of the FM systems. A Project fixed assets register will be prepared, regularly updated,\nand physical verification of assets routinely carried out with the maintenance of fixed asset register with relevant\ninformation.\n\n**To further strengthen internal controls, the internal audit reports shall be prepared and shared with the**\n**EAFS/PIU and made available to the World Bank during Project supervision.** The internal auditors will include\nthe project in their annual plan and carry out risk-\n\nMention: \"IFMIS generated quarterly\nreports\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Financial management system reports submitted quarterly to monitor budget execution.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002387:78:1", "occurrence_id": "d3792222e078e59d174bf0d0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  resources to support incremental costs for the seconded accountant.\n\n**(b)** **Planning and Budgeting**\n\nThe Government (EAFS unit working with the PIU) will prepare a detailed project budget either monthly or\nquarterly based on the specific activities to be executed over the life of the project for approval by the World Bank\nat least two months before the beginning of the Government budgeting process **.** This budget will be agreed with\nthe World Bank for it to be included in the Government appropriations and the relevant sector within the FGS\nbudget. Monitoring of budget execution will be done through regular submission of IFMIS generated quarterly\nreports to the World Bank. The Government will prepare the budget utilization reports as part of the quarterly\nIFRs with clear discussion on variances\n\n**(c) Accounting Systems, Policies, and Procedures**\n\nTo facilitate preparation of the relevant reports and annual financial statements, the project budgets and\nexpenditures will be recorded, classified and reported through the Government Financial Management\nInformation Systems according to the approved Standard Chart of Accounts.\n\n**(d) Internal Controls and Internal Audit**\n\n**The EAFS will ensure that requests for funds commitments/withdrawals, invoices and payment requests are**\n**consistent with signed contracts before processing and release of funds/payments** ensuring that contracts are\nregistered in IFMIS **.** They will also monitor and report on the utilization of project funds, including the fiduciary\nstandards and the reliability of the FM systems. A Project fixed assets register will be prepared, regularly updated,\nand physical verification of assets routinely carried out with the maintenance of fixed asset register with relevant\ninformation.\n\n**To further strengthen internal controls, the internal audit reports shall be prepared and shared with the**\n**EAFS/PIU and made available to the World Bank during Project supervision.** The internal auditors will include\nthe project in their annual plan and carry out risk-\n\nMention: \"Project fixed assets register\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Asset register to be maintained and physically verified as an internal control.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002430:3:0", "occurrence_id": "49c57ec3f78b6ceab1ebf8b2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupport to the National Housing Program (P176581)\n\n\nin 2019 to 23.4 percent in 2020, which represents about 274,000 falling into poverty. The impact was\nhigher in urban areas and in the eastern region of the country that is highly dependent on tourism, which\nremains volatile. The impact of COVID-19 has been disproportionate on women, who were more likely\nin 2020 to lose their formal jobs (7.5 percent) than men (4.9 percent) and were more likely to stay out\nof the workforce because of an increase in nonremunerated care work during the pandemic. According\nto Government data, between 2019 and 2020, the percentage of women below the monetary poverty\nline increased from 22 to 24.6 percent.\n\n\n4. **The DR is endowed with abundant natural resources on which it relies for tourism and agricultural**\n**production, but its geography also makes the country highly vulnerable to natural hazards and climate-**\n**related events** . The DR ranks as the 8th most vulnerable country in the world to climate change because\nof its high exposure to weather-related disasters like tropical storms, hurricanes, cyclones, floods, and\nlandslides, as well as slow climate change processes including sea-level rise and desertification. The\nnortheastern region is exposed to floods and mudslides from severe storms, while arid regions of the\nnorthwest are experiencing increasing temperatures that pose risks of drought, which affect agricultural\nyields and reduce water supplies. The DR is at the center of a hurricane belt, and intense storms damage\nprivate and public infrastructure including housing and disrupt businesses and the provision of basic\nservices. The World Bank’s Country Disaster Risk Profile for the DR estimates the Annual Average Losses\nto the country’s building stock at US$642 million (0.89 percent of the 2016 GDP)—of which the majority\n(US$552 million) correspond to losses in urban\n\nMention: \"Country Disaster Risk Profile\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimates annual average building losses of US$642 million, mostly urban, for the Dominican Republic.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002352:36:3", "occurrence_id": "c9fe84dc9e13fb79a08962f9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: كة المجتمعية|صياغة وتنفيذ إستراتيجية التوعية بالمخاطر والتواصل<br>بشأنها|صياغة وتنفيذ إستراتيجية التوعية بالمخاطر والتواصل<br>بشأنها|\n|إدارة الصحة العامة<br>بوزارة الصحة<br>|التحقق من خلل الزيارات<br>الميدانية/البيانات الدارية<br>|البيانات الدارية لوزارة<br>الصحة<br>|6<br> شهور<br>|البسط: عدد المختبرات المعينة<br> المجهزة تجهيزا كامل بالمعدات<br> والجهزة والكواشف والمستلزمات<br>.اللزمة لختبارات فيروس كورونا<br> المقام: العدد الجمالي للمختبرات<br>المعينة|نسبة المختبرات المعينة والمزودة بأجهزة التشخيص<br>الخاصة بفيروس كورونا وأدواتلختبار والكواشف|نسبة المختبرات المعينة والمزودة بأجهزة التشخيص<br>الخاصة بفيروس كورونا وأدواتلختبار والكواشف|\n\nMention: \"البيانات الدارية\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Ministry of Health administrative data used to verify results from field visits.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002415:4:1", "occurrence_id": "057ca16de60766752040918a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  that would contribute to covering up to 60% of the population, in**\n**countries that requested it.** When firm contracts are in place between UNICEF, as the appointed\nprocurement agent, and manufacturers, UNICEF will conclude contracts with participating countries\nfor the supply of the vaccines. These contracts will be reviewed by the Bank to ensure that they comply\nwith all operational policies and provide value for money in terms of both price and delivery times\nbefore financing from this Grant and Credit can be disbursed toward the member country upon its\nrequest.\n\n\n6. **After a first surge of cases, Benin is now experiencing a second wave of COVID-19 like several other**\n**countries.** Despite the significant strides in its overall preparedness and response capacity to the\npandemic and the experience gained during the first wave, Benin is hit by a new surge of cases since\nthe second half of January 2021. As of May 31, 2021, the country has reported 8,082 cumulative cases\n(cumulative attack rate = 652 cases/million people), with 15 people under treatment, including 10\npatients in intensive care, and 102 deaths (case fatality rate= 1,2%) <sup>2</sup>, which makes Benin one of the\nleast affected countries in the West African region. Although the figures of the last five-weeks show a\ndeclining trend of the epidemic, the risk of infection is still high, given Benin’s open borders with\ncountries that are experiencing a second wave with much higher incidence rates, as well as the\nprospect of an increased risk of non-compliance with barrier measures. See Annex 3 for more details\non the status of COVID-19 in Benin.\n\n\n2 Republic of Benin. Ministry of Health. COVID-19 epidemiological status report. Mai 31, 2021\n\n\nMay 19, 2021 Page 5 of 12\n\nMention: \"COVID-19 epidemiological status report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ministry situation report footnoted for the epidemiological situation at the end of May 2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002394:15:2", "occurrence_id": "9f0c28d19dfec2252a3cf36a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  se esperan que aumenten en frecuencia e intensidad debido al\ncambio climático, que ponen en peligro sus vidas, así como su desarrollo físico y cognitivo. <sup>32</sup> [^32: SESAL, 2020. PAI, Honduras; y Banco de Datos del Banco Mundial, 2020.] Por otro lado,\nla encuesta sobre percepciones y preferencias que realizó la Organización Mundial de la Salud (OMS) en\nHonduras mostró que, entre diciembre del 2020, y enero/febrero del 2021, los servicios de atención\nprimaria evaluados registraron interrupciones de un 50% o más. <sup>33</sup> [^33: Los cinco servicios evaluados son: (i) servicios de promoción y prevención de la salud; (ii) visitas programadas de rutina; (iii)\nvisitas por síntomas indiferenciados; (iv) remisiones a atención especializada; (v) renovación de recetas de medicamentos\ncrónicos. Organización Mundial de la Salud, 2021. Seguimiento de la continuidad de los servicios sanitarios esenciales durante\nla pandemia de COVID-19.]\n\n10. **La vulnerabilidad de Honduras al cambio climático ha ejercido impactos significativos en la salud**\n**de la población.** Se espera que Honduras sufra precipitaciones más frecuentes y de mayor intensidad, olas\nde calor y sequías más frecuentes, y un aumento del nivel del mar, tal y como se prevé para el resto de\nCentroamérica y el Caribe, en consonancia con la mediana mundial proyectada. <sup>34</sup> [^34: Portal de Conocimientos sobre el Cambio Climático, Banco Mundial. 2021] Se espera que los\nimpactos observados -y previstos- del cambio climático provoquen un aumento en la incidencia de\nenfermedades transmisibles como la malaria, el cólera, la leishmaniasis, la tuberculosis y el dengue. Una\ngran proporción de la población vulnerable de Honduras es anciana y pobre. Al observar su baja capacidad\n\n\n28 Instituto Nacional de Estadísticas y la Secretaría de Salud de Honduras. (2021).\n\nMention: \"Banco de Datos del Banco Mundial\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited with the national health secretariat as source for the childhood exposure statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002394:15:2", "occurrence_id": "26b0b65bcc03d89a300aa806", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  se esperan que aumenten en frecuencia e intensidad debido al\ncambio climático, que ponen en peligro sus vidas, así como su desarrollo físico y cognitivo. <sup>32</sup> [^32: SESAL, 2020. PAI, Honduras; y Banco de Datos del Banco Mundial, 2020.] Por otro lado,\nla encuesta sobre percepciones y preferencias que realizó la Organización Mundial de la Salud (OMS) en\nHonduras mostró que, entre diciembre del 2020, y enero/febrero del 2021, los servicios de atención\nprimaria evaluados registraron interrupciones de un 50% o más. <sup>33</sup> [^33: Los cinco servicios evaluados son: (i) servicios de promoción y prevención de la salud; (ii) visitas programadas de rutina; (iii)\nvisitas por síntomas indiferenciados; (iv) remisiones a atención especializada; (v) renovación de recetas de medicamentos\ncrónicos. Organización Mundial de la Salud, 2021. Seguimiento de la continuidad de los servicios sanitarios esenciales durante\nla pandemia de COVID-19.]\n\n10. **La vulnerabilidad de Honduras al cambio climático ha ejercido impactos significativos en la salud**\n**de la población.** Se espera que Honduras sufra precipitaciones más frecuentes y de mayor intensidad, olas\nde calor y sequías más frecuentes, y un aumento del nivel del mar, tal y como se prevé para el resto de\nCentroamérica y el Caribe, en consonancia con la mediana mundial proyectada. <sup>34</sup> [^34: Portal de Conocimientos sobre el Cambio Climático, Banco Mundial. 2021] Se espera que los\nimpactos observados -y previstos- del cambio climático provoquen un aumento en la incidencia de\nenfermedades transmisibles como la malaria, el cólera, la leishmaniasis, la tuberculosis y el dengue. Una\ngran proporción de la población vulnerable de Honduras es anciana y pobre. Al observar su baja capacidad\n\n\n28 Instituto Nacional de Estadísticas y la Secretaría de Salud de Honduras. (2021).\n\nMention: \"encuesta sobre percepciones y preferencias\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"WHO survey showing primary care services interrupted by 50 percent or more.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002430:5:0", "occurrence_id": "73a9dcdafa9e0c234d50b1c3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupport to the National Housing Program (P176581)\n\n\n9. **Women face additional barriers to affordable housing in the Dominican Republic** . Poverty rates are\nhigher for women than men across all age groups, education levels, occupations, marital status, and\nareas of residence (urban/rural). Women in the Dominican Republic face lower formal labor force\nparticipation, higher unemployment, and lower wages compared to men, and these gaps in employment\nand earnings have been exacerbated by the COVID-19 pandemic as women have been more likely than\nmen to face job losses due to the economic downturn. Women also face barriers to financial inclusion:\nonly around 56 percent of adults in the Dominican Republic have a bank account, and men are 4\npercentage points more likely than women to have an account. As a result of these gaps, women have\nfewer resources available for purchasing a home and more limited access to housing finance through\ntraditional mortgage lending. In 2018, around 38 percent of households in the Dominican Republic were\nfemale-headed households (FHH), 84 percent of whom were not cohabitating with a partner. However,\nwomen make up only 9.2 percent of sole homeowners, indicating an important gap in homeownership\nfor FHH. <sup>7</sup> [^7: OECD. (2019) Gender, Institutions and Development Database (GID-DB) 2019. https://stats.oecd.org/Index.aspx?DataSetCode=GIDDB2019#]\n\n\n10. **Public investment in the housing sector is limited** . Between 2014 and 2020, investment in the housing\nsector averaged 0.065 percent of GDP, with significant annual fluctuations. This is well below the regional\naverage (0.66 percent) and the Organization for Economic Cooperation and Development (OECD)\naverage (0.68 percent). There also appears to be low capacity to execute public investment: During the\nlast decade, only half (49.8 percent) of the funds assigned\n\nMention: \"Gender, Institutions and Development Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the homeownership gap showing women are only 9.2 percent of sole homeowners.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002430:5:0", "occurrence_id": "2b976558c9ae84e142a2c325", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupport to the National Housing Program (P176581)\n\n\n9. **Women face additional barriers to affordable housing in the Dominican Republic** . Poverty rates are\nhigher for women than men across all age groups, education levels, occupations, marital status, and\nareas of residence (urban/rural). Women in the Dominican Republic face lower formal labor force\nparticipation, higher unemployment, and lower wages compared to men, and these gaps in employment\nand earnings have been exacerbated by the COVID-19 pandemic as women have been more likely than\nmen to face job losses due to the economic downturn. Women also face barriers to financial inclusion:\nonly around 56 percent of adults in the Dominican Republic have a bank account, and men are 4\npercentage points more likely than women to have an account. As a result of these gaps, women have\nfewer resources available for purchasing a home and more limited access to housing finance through\ntraditional mortgage lending. In 2018, around 38 percent of households in the Dominican Republic were\nfemale-headed households (FHH), 84 percent of whom were not cohabitating with a partner. However,\nwomen make up only 9.2 percent of sole homeowners, indicating an important gap in homeownership\nfor FHH. <sup>7</sup> [^7: OECD. (2019) Gender, Institutions and Development Database (GID-DB) 2019. https://stats.oecd.org/Index.aspx?DataSetCode=GIDDB2019#]\n\n\n10. **Public investment in the housing sector is limited** . Between 2014 and 2020, investment in the housing\nsector averaged 0.065 percent of GDP, with significant annual fluctuations. This is well below the regional\naverage (0.66 percent) and the Organization for Economic Cooperation and Development (OECD)\naverage (0.68 percent). There also appears to be low capacity to execute public investment: During the\nlast decade, only half (49.8 percent) of the funds assigned\n\nMention: \"GIDDB2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The dataset code behind the OECD link, identifying the exact 2019 release used.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002362:5:0", "occurrence_id": "e0a62ec7de553bd232401c86", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEnhancing Connectivity in the Northern and Central Agricultural Production Areas of Senegal (P176419)\n\n\n\n_Figure 3. Proportion of the population within 2 km of a_\n_paved road_\n\n\n\n_Figure 4. Proportion of rural population with access to within_\n_2 km of a road_\n\n\n\nSource : Ageroute road data, World Pop population data\n\n10. **The spatial inequalities affect also the access to social services, such as schools and hospitals.** Improved road\nconnectivity and road transport are paramount to supporting social development in the country. Rural communities are\nconfronted with great hardships in accessing basic human capital services of health and education, mainly due to their\nphysical isolation, particularly during rainy seasons. The enhancement of access in rural areas will allow to improve food\nsecurity, lower transport costs, and improved access to services such as health and education in regions with high poverty\nlevels.\n\n11. **The preservation of road assets is a challenge, especially for unpaved roads** . The classified road network has a\ntotal length of 16,495 km including 5,956 km of paved roads. It is estimated that 80% of paved roads are in good and fair\ncondition, but this percentage slumped to 53% for unpaved roads (AGEROUTE, 2017). This affect particularly rural areas\nin agriculture production regions, where unpaved roads are the only options to reach markets and services. Water\nmanagement issues are responsible for most of the damage to roads, and roads are often also a major cause of problems\nsuch as erosion and waterlogging.\n\n12. **Overloading of trucks is another aggravating factor in the deterioration of the road network** . The overloading of\nvehicles in traffic substantially accelerates the deterioration of pavements whose design does not correspond to the axle\nweights of the trucks. The immediate consequence is a reduction in the life of the road sections due to both the increased\ncosts of routine maintenance of the infrastructure and the need to reinvest more\n\nMention: \"Ageroute road data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Road network layer used to map the population within two kilometres of a paved road.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002362:5:0", "occurrence_id": "db5dccc7f115909344a65fb9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEnhancing Connectivity in the Northern and Central Agricultural Production Areas of Senegal (P176419)\n\n\n\n_Figure 3. Proportion of the population within 2 km of a_\n_paved road_\n\n\n\n_Figure 4. Proportion of rural population with access to within_\n_2 km of a road_\n\n\n\nSource : Ageroute road data, World Pop population data\n\n10. **The spatial inequalities affect also the access to social services, such as schools and hospitals.** Improved road\nconnectivity and road transport are paramount to supporting social development in the country. Rural communities are\nconfronted with great hardships in accessing basic human capital services of health and education, mainly due to their\nphysical isolation, particularly during rainy seasons. The enhancement of access in rural areas will allow to improve food\nsecurity, lower transport costs, and improved access to services such as health and education in regions with high poverty\nlevels.\n\n11. **The preservation of road assets is a challenge, especially for unpaved roads** . The classified road network has a\ntotal length of 16,495 km including 5,956 km of paved roads. It is estimated that 80% of paved roads are in good and fair\ncondition, but this percentage slumped to 53% for unpaved roads (AGEROUTE, 2017). This affect particularly rural areas\nin agriculture production regions, where unpaved roads are the only options to reach markets and services. Water\nmanagement issues are responsible for most of the damage to roads, and roads are often also a major cause of problems\nsuch as erosion and waterlogging.\n\n12. **Overloading of trucks is another aggravating factor in the deterioration of the road network** . The overloading of\nvehicles in traffic substantially accelerates the deterioration of pavements whose design does not correspond to the axle\nweights of the trucks. The immediate consequence is a reduction in the life of the road sections due to both the increased\ncosts of routine maintenance of the infrastructure and the need to reinvest more\n\nMention: \"World Pop population data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Gridded population surface providing the denominators for the road-accessibility shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002440:4:0", "occurrence_id": "b493c52f2cbd512c5d244000", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGEF SUSTAINABLE GROUNDWATER MANAGEMENT IN SADC MEMBER STATES PROJECT PHASE 2\n(P176607)\n\n\nComponent 1 (capacity building) is to support groundwater management institutions to be effective in planning and\nregulating groundwater uses at the local, national and regional level. Outputs will include development of a capacity\nbuilding strategy, establishment and training of National Focus Groups, strategic partnerships, groundwater assessments,\nbasin plans and GESI capacity developed.\n\nComponent 2 (knowledge development and dissemination) is expected to enable evidence-based decision making on\nsustainable groundwater management using an accessible and up-to-date knowledge base from SADC member states.\nOutputs under this component include expansion of SADC-GIP, SADC-GLA groundwater studies disseminated and\nknowledge sharing.\n\nComponent 3 (grants to member states) will promote sustainable and innovative groundwater solutions to improve public\nhealth and climate resilience consciousness in the communities for both women and men. Outputs include men and\nwomen on groundwater management, expansion of groundwater monitoring networks and awareness raising events.\n\n\n**D. Project Description**\n**Component 1**  - Capacity building for sustainable groundwater management, will focus on capacity building and strengthening\ninstitutions through a range of technical assistance, knowledge exchanges, workshops, and training activities. Capacity-building\nefforts will seek to be inclusive by considering the special needs and challenges of women and other vulnerable populations.\nThe component will strengthen SADC-GMI to fulfil its core functions as a center of excellence for groundwater in the region.\nThis component will also support project management activities\n\n\n**Component 2 –** Knowledge development, dissemination and advocacy will support the generation and dissemination of\nknowledge on groundwater resources in the SADC-region. The knowledge products will promote inputs from women who\nhave accumulated considerable knowledge about water resources, including location quality and storage methods. Results of\nthe activities under this component will be compiled at the national level in National Groundwater Assessments that assess\nthe status of groundwater resources, their\n\nMention: \"groundwater monitoring networks\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Monitoring networks to be expanded as an output for sustainable groundwater management.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002468:11:2", "occurrence_id": "6b6310ffd318981f732997ff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n21. **The proposed post crisis reengagement DPO will support GoM’s efforts to sustain the implementation of the**\n**power sector recovery plan adopted in 2019 and updated in 2020 as part of the national and regional DPFs, which**\n**sought to turn around the sector performance and gradually eliminate subsidies within 5 years.** The measures to be\ntaken to achieve this objective include: (i) a significant shift in the energy mix, from a high reliance on fossil fuel, to least\ncost imports and local renewable energy; (ii) reduction in debt service costs through debt restructuring;\n(iii) reduction in fuel costs through open and competitive bulk procurement (and strategic storage) and remote control of\nfuel consumption; (iv) improvements in EDM operational efficiency and governance; and (v) modest and gradual tariff\nincreases. The Mali Sustainable Energy and Improved Service Delivery for Increased Stability Development Policy Financing\n(P167547) supported the clearance of arrears of GoM to EDM for public electricity consumption, the elimination of\nsubsidies for connection fee for large consumers (MV clients), the increase of MT and public lighting tariffs (aligned them\nto the consumer price index), and the establishment of an advance payment mechanism for electricity consumption of\npublic institutions. While the West Africa Regional Energy Trade Development Policy Financing Program (P171225)\nsupported reforms to facilitate trade and ensure increased imports, the proposed reengagement DPL is expected to\nestablish a transparent regulatory mechanism for tariff adjustments and compensation, strengthen the Government’s\noversight on the sector performance improvement. It will also support reforms to cut down the costs of fuel and reduce\nthe financial losses due to poorly negotiated deals with IPPs.\n\n\nJun 17, 2021 Page 12 of 19\n\nMention: \"consumer price index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Indexation reference used to align electricity and public lighting tariffs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002535:2:0", "occurrence_id": "4140b296e13bdb589abae3c2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting Lebanon's COVID-19 Vaccination for Refugees and Host Communities\n\n\nhouseholds are facing challenges in accessing basic services such as food, healthcare, and education and the\nunemployment rate continues to rise. Inflationary effects are highly regressive factors, disproportionally\naffecting the poor and middle class. The explosion at the Port of Beirut (PoB) on August 4, 2020, led to the\nloss of lives for almost 200 people, wounded over 6,000, and damaged 292 health facilities, significantly\nreducing care access, especially for the vulnerable populations. The Rapid Damage and Needs Assessment\nestimates damages of approximately US$3.8–4.6 billion, economic losses of US$2.9–3.5 billion, and priority\nrecovery and reconstruction needs of US$1.8–2.0 billion. The COVID-19 pandemic and the subsequent\nlockdown measures pose a serious threat to Lebanon’s health system and economy, particularly affecting the\npoor and the vulnerable. The unmet health needs are immense, and the healthcare system lacks the needed\nhuman and financial resources to manage or respond to this pandemic. Lebanon is also facing a 10-year\nhumanitarian situation caused by an unprecedented influx of displaced Syrians. Among its total population of\n6.8 million, Lebanon hosts more than 1.5 million Syrian and 400,000 Palestinian refugees, the largest refugee\npopulation per capita in the world. The refugee population and an estimated 300,000 migrant workers sum\nup to 30 percent of the country's current total population. The influx of refugees has exacerbated the\nhealthcare system's fragility, which was already overstretched by economic and political instability.\n\n\nSectoral and Institutional Context\n**Lebanon’s health system is highly diverse with a mix of public, non-profit, and private providers and a**\n**multitude of insurance coverage schemes.** The private sector is a major provider of health services; 85\npercent\n\nMention: \"Rapid Damage and Needs Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Assessment estimating US$3.8–4.6 billion in damages and US$1.8–2.0 billion in priority recovery needs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002496:5:1", "occurrence_id": "f72a75cd6946b82f32fb5b66", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ’s\nefforts to fight the COVID-19 pandemic by investing in the supply chain, infrastructure, human\nresources, and communication campaigns to address vaccine hesitancies. Additional financing is also\nrequired to extend the testing, PPE, and communications, which are essential to sustain throughout\nthe vaccine roll-out.\n\n14. **The AF will support investments to bring immunization systems and service delivery capacity to the**\n**level required to successfully deliver COVID-19 vaccines at scale, through Component 1 (Emergency**\n**COVID-19 Response) and Component 2 (Project Implementation Management and Monitoring and**\n**Evaluation) of the parent project.** To this end, the AF is geared to assist the Government of Guinea,\nworking with the World Bank, WHO, UNICEF and other development partners, to overcome\nbottlenecks as identified in the COVID-19 vaccine readiness assessment in the country.\n\n\na. **Under Sub-Component 1.4: Communication Preparedness (US$2 million), this AF will support**\n\n**communication strategies for public support.** This will include the development of\n\n\nApr 17, 2021 Page 6 of 10\n\nMention: \"COVID-19 vaccine readiness assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Assessment whose identified bottlenecks the additional financing is designed to overcome.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002445:67:0", "occurrence_id": "5bf7948b9350ac2530ad887a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nJordan Water Sector Efficiency Project (P176619)\n\n\n\n\n\n\n\n|Col1|allocation plans to Minister Office for adoption. The PBC disburses against: (i) approval of annual water allocation plan<br>(scalable by year, quality standards to be specified in the verification protocol); and (ii) establishment of the technical<br>committee for the development of contingency plans and the mechanisms for stakeholder engagement established in<br>prioritized pilots; and (iii) number of pilot contingency plans prepared (scalable up to two pilot contingency plans).<br>Minimum criteria for contingency plans are: definition of drought impacts and triggering criteria for drought responses and<br>other preparation and recovery measures, reflect solicited feedback by concerned citizens on consulted aspects of the plans<br>and envisaged response measures including on types of water sources for use, alternative crop practices (or as the case may<br>be), including cross-stakeholder communication and coordination mechanisms, and other provisions for periodic updating<br>of plans, and use of drought monitoring information.. IVA to review the water budget records, water allocation plans,<br>drought contingency plans and progress reports prepared and submitted by MWI and check conformity with the verification<br>requirements.|\n|---|---|\n|<br> <br>**PBC 5**|<br>Safeguarding surface water storage: Dams Risk Indexing Tool Developed, Adopted and Operationalized|\n|**Description**|“Risk indexing tool” characterizes dam safety risks in a systematic, qualitative, and relatively manner to help evaluate and<br>prioritize safety issues for individual dams and the portfolio of dams. These potential risks are quantified as deficiencies in<br>the current physical state or condition of the dam and are weighted by their overall importance to the safety\n\nMention: \"water budget records\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Records reviewed by the implementing agency to verify allocation plans and drought contingency compliance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002510:14:1", "occurrence_id": "9b040506c53a144c2615fa89", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  access to credit, learns about new market opportunities,\nand acquires the skills needed to successfully operate their businesses. <sup>22</sup> Studies of women entrepreneurs in Uganda find\nthat women who work closely with a mentor—often male, and usually a family member—are more likely to transition\ninto higher-profit sectors. <sup>23</sup> <sup>24</sup>\n\n15. **Additional factors that block women from developing growth-oriented enterprises in profitable sectors are**\n**related to the failure of existing business development services to address the needs of women-owned firms** .\nAccording to an enterprise survey conducted in 2014, MSMEs lacked key skills needed for business growth. Only 28\npercent of firms surveyed said they do book-keeping to track revenues and expenses; a mere 10 percent had invested in\ntraining for employees; and just 36 percent had access to the internet. Female-owned firms appear to be particularly\nlacking when it comes to the use of standard business practices. A recent microenterprise survey showed a gender gap\nof 24 percentage points on an index of adoption of good business practices. Few training courses address the specific\nchallenges of formalizing a business, including meeting tax obligations, preparing proper records, fulfilling reporting\nrequirements, and obtaining licenses. Training tends to focus on limited topics, such as financial or computer literacy,\nbut leaves out training in life skills and support for network. Yet, global evidence demonstrates that developing socioemotional skills, through psychology-based trainings, are as important to enterprise success as strengthening business\nskills. <sup>25</sup> Finally, many business development services continue to train women for sectors where women-owned firms are\nover-represented, such as small trade or food service, rather than where they could diversify their business and earn\nhigher profits.\n\n\n19 Delecourt, S. and Fitzpatrick, A. 2021.\n\nMention: \"enterprise survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"2014 survey showing MSME skill gaps: 28 percent keep books, 10 percent train staff, 36 percent have internet.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002510:14:1", "occurrence_id": "9f06e5d9f21043820f6943d6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  access to credit, learns about new market opportunities,\nand acquires the skills needed to successfully operate their businesses. <sup>22</sup> Studies of women entrepreneurs in Uganda find\nthat women who work closely with a mentor—often male, and usually a family member—are more likely to transition\ninto higher-profit sectors. <sup>23</sup> <sup>24</sup>\n\n15. **Additional factors that block women from developing growth-oriented enterprises in profitable sectors are**\n**related to the failure of existing business development services to address the needs of women-owned firms** .\nAccording to an enterprise survey conducted in 2014, MSMEs lacked key skills needed for business growth. Only 28\npercent of firms surveyed said they do book-keeping to track revenues and expenses; a mere 10 percent had invested in\ntraining for employees; and just 36 percent had access to the internet. Female-owned firms appear to be particularly\nlacking when it comes to the use of standard business practices. A recent microenterprise survey showed a gender gap\nof 24 percentage points on an index of adoption of good business practices. Few training courses address the specific\nchallenges of formalizing a business, including meeting tax obligations, preparing proper records, fulfilling reporting\nrequirements, and obtaining licenses. Training tends to focus on limited topics, such as financial or computer literacy,\nbut leaves out training in life skills and support for network. Yet, global evidence demonstrates that developing socioemotional skills, through psychology-based trainings, are as important to enterprise success as strengthening business\nskills. <sup>25</sup> Finally, many business development services continue to train women for sectors where women-owned firms are\nover-represented, such as small trade or food service, rather than where they could diversify their business and earn\nhigher profits.\n\n\n19 Delecourt, S. and Fitzpatrick, A. 2021.\n\nMention: \"microenterprise survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows a 24 percentage point gender gap in adoption of good business practices.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002445:26:0", "occurrence_id": "4b9d906df899228cd0862a20", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nJordan Water Sector Efficiency Project (P176619)\n\n\nfarmers to improve their planning of seasonal employment opportunities, thus informing refugees of potential need to\nseek employment in other sectors.\n\n\n52. **This sub-component will support improvement of water allocation plans.** The intersectoral water allocation\nplans will be developed based on an annual water balance and on improved water resources information systems and\nwill inform allocation among major sectors (municipal supply, irrigated agriculture, industry) as well as refugee camps\n(where receipt of bulk water allocation is the primary water-supply challenge). Institutionalization of water allocation\nplanning requires goods, services, and an incremental role for MWI staff, to improve systems for gathering, sharing, and\nprocessing data on the annual distribution of water supply and demand among the water demand centers.\n\n\n53. **This sub-component will also use PBCs to incentivize institutional actions necessary to improve water allocation**\n**and drought contingency planning, including citizen engagement.** The PBCs will be used to increase the focus on\ninstitutional arrangements for improving water allocation planning and drought management, including citizen\nengagement and participatory planning during drought contingency planning. The water allocation plan will be prepared\nbased on an annual water balance utilizing information management systems for the integration, analysis, and reporting\nof estimates, and incentivize incorporation of stakeholder responses into drought contingency plans by soliciting and\nincorporating feedback on aspects of the plans and envisaged response measures. Support mobilized under this subcomponent will include goods and services related to strengthening institutional performance for water allocation and\ndrought contingency planning and will also support incremental operational expenditures to cover a portion of\nadditional operational expenditures necessary for meeting the performance objectives (detailed in Annex 7, Table 1).\n\n\n\n\n\n\n|PBC/Sub-PBC|Allocation|\n|---|---|\n|**PBC 4. Water allocation systems modernized, strengthening annual water allocation planning**<br>*\n\nMention: \"annual water balance\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Annual balance underpinning the intersectoral water allocation plans.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002445:26:0", "occurrence_id": "e805795affa95bee68221d7f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nJordan Water Sector Efficiency Project (P176619)\n\n\nfarmers to improve their planning of seasonal employment opportunities, thus informing refugees of potential need to\nseek employment in other sectors.\n\n\n52. **This sub-component will support improvement of water allocation plans.** The intersectoral water allocation\nplans will be developed based on an annual water balance and on improved water resources information systems and\nwill inform allocation among major sectors (municipal supply, irrigated agriculture, industry) as well as refugee camps\n(where receipt of bulk water allocation is the primary water-supply challenge). Institutionalization of water allocation\nplanning requires goods, services, and an incremental role for MWI staff, to improve systems for gathering, sharing, and\nprocessing data on the annual distribution of water supply and demand among the water demand centers.\n\n\n53. **This sub-component will also use PBCs to incentivize institutional actions necessary to improve water allocation**\n**and drought contingency planning, including citizen engagement.** The PBCs will be used to increase the focus on\ninstitutional arrangements for improving water allocation planning and drought management, including citizen\nengagement and participatory planning during drought contingency planning. The water allocation plan will be prepared\nbased on an annual water balance utilizing information management systems for the integration, analysis, and reporting\nof estimates, and incentivize incorporation of stakeholder responses into drought contingency plans by soliciting and\nincorporating feedback on aspects of the plans and envisaged response measures. Support mobilized under this subcomponent will include goods and services related to strengthening institutional performance for water allocation and\ndrought contingency planning and will also support incremental operational expenditures to cover a portion of\nadditional operational expenditures necessary for meeting the performance objectives (detailed in Annex 7, Table 1).\n\n\n\n\n\n\n|PBC/Sub-PBC|Allocation|\n|---|---|\n|**PBC 4. Water allocation systems modernized, strengthening annual water allocation planning**<br>*\n\nMention: \"water resources information systems\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Systems to be improved so allocation plans rest on better water resources information.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002478:10:1", "occurrence_id": "690a7b4401f2e09cebf9153d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  as providing technical assistance for enabling LATRA to perform its regulatory function under\nopen-access arrangements.\n\n34. **The development of an asset management system for railway tracks is key for the sustainability of**\n**operations.** The project will support the operationalization of the track recording car for effective network data\ncollection, provide capacity strengthening for data analysis, and prepare maintenance strategies and programs.\nThe support will enable TRC to switch to condition-based maintenance (from currently force account maintenance\nmethods) as part of their enterprise-wide asset management transformation.\n\n35. **The project will contribute to addressing the identified barriers to women’s participation in the railways**\n**sub-sector with the aim of achieving safe, decent, and equal employment opportunities in both technical and**\n**nontechnical positions.** There are several barriers that restrict women’s participation in the railway industry and\nthese manifest at multiple levels. A gender survey of TRC that was conducted in 2022 confirmed that unequal\naccess to education, and in particular, STEM between girls/women and boys/men is a key entry-level barrier in\nformal employment and is reported by 72.4% of the respondents. The project will enhance women’s participation\nin the sector by (a) building a pipeline of young experts through providing three-year financial support to graduate\nengineers, at least half of whom will be women, to participate in the structured engineers apprenticeship program\n(SEAP) to enable them to register as professional engineers and thus expand their employment opportunities in\nthe sector and in the market ( including TRC, <mark>TAZARA, and private sector consultants and contractors);</mark> (b)\nsupporting the training and certification <sup>24</sup> of women as locomotive drivers; (c) supporting the development and\nimplementation of a resource- and time-bound institutional gender equality policy with an action plan\n\nMention: \"gender survey of TRC\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey confirming unequal education access as an entry barrier, reported by 72.4 percent of respondents.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002496:4:2", "occurrence_id": "b8c06604bb3edf753aa4b885", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  center\nalready ransacked and burned on March 5, 2021. Also, only 40 EBV vaccines that are being offered\nfree of charge to the population in N’Zérékoré by WHO were administered as of May 2, 2021. This\nraises concern about vaccine hesitancy towards the COVID-19 vaccines.\n\n\n[4 World Bank (April 2021) – “ Macro-Poverty Outlook for Guinea” (database): https://worldbank.org/en/publicaiton/macro-](https://worldbank.org/en/publicaiton/macro-poverty-outlook)\n<u>[poverty-outlook. R. April 2021. République de Guinée, Ministère de l’économie des finances (2021), « Tableau de bord mensuel](https://worldbank.org/en/publicaiton/macro-poverty-outlook)</u>\nde l’économie guinéenne de décembre 2020, » 198, Février; World Bank, “World Development Indicators Database,”\nhttps://databank.worldbank.org/source/World-Development-Indicators.\n5 World Bank (2021), “COVID-19 Impact Monitoring on Household Well-Being. From July 2020 to November 2020.,” Bulletin No\n1, February.\n6 Repulic of Guinea, National Agency for Health Security, « Situation Report – EVD Epidemic », 93 – Mai 2021.\n\n\nApr 17, 2021 Page 5 of 10\n\nMention: \"Macro-Poverty Outlook for Guinea\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Database cited for the welfare and macroeconomic context of the vaccine project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002496:4:2", "occurrence_id": "b8c73a568a66f323a3487139", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  center\nalready ransacked and burned on March 5, 2021. Also, only 40 EBV vaccines that are being offered\nfree of charge to the population in N’Zérékoré by WHO were administered as of May 2, 2021. This\nraises concern about vaccine hesitancy towards the COVID-19 vaccines.\n\n\n[4 World Bank (April 2021) – “ Macro-Poverty Outlook for Guinea” (database): https://worldbank.org/en/publicaiton/macro-](https://worldbank.org/en/publicaiton/macro-poverty-outlook)\n<u>[poverty-outlook. R. April 2021. République de Guinée, Ministère de l’économie des finances (2021), « Tableau de bord mensuel](https://worldbank.org/en/publicaiton/macro-poverty-outlook)</u>\nde l’économie guinéenne de décembre 2020, » 198, Février; World Bank, “World Development Indicators Database,”\nhttps://databank.worldbank.org/source/World-Development-Indicators.\n5 World Bank (2021), “COVID-19 Impact Monitoring on Household Well-Being. From July 2020 to November 2020.,” Bulletin No\n1, February.\n6 Repulic of Guinea, National Agency for Health Security, « Situation Report – EVD Epidemic », 93 – Mai 2021.\n\n\nApr 17, 2021 Page 5 of 10\n\nMention: \"World Development Indicators Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Comparative indicator series cited alongside national monthly economic bulletins.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002498:59:0", "occurrence_id": "875e9d52c7eca9933dea0bc8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGUINEA-BISSAU COVID-19 VACCINE PROJECT (P176721)\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Monitoring & Evaluation Plan: Intermediate Results Indicators|Col2|Col3|Col4|Col5|Col6|\n|---|---|---|---|---|---|\n|**Indicator Name **|**Definition/Description **|**Frequency **|**Datasource **|**Methodology for Data**<br>**Collection **|**Responsibility for Data**<br>**Collection **|\n|Essential and frontline health workers<br>benefitting from the first phase of vaccine<br>deployment who are women (as<br>percentage of the total women among<br>essential and frontline)|Numerator: Number of<br>female essential and<br>frontline health workers<br>vaccinated in the first<br>phase; Denominator: Total<br>number of female essential<br>and frontline health<br>workers vaccinated in the<br>first phase|Quaterly<br>|National<br>Immunization<br>Program/MIN<br>SAP<br>|Routine monitoring<br>|PIU/National<br>Immunization<br>Program/MINSAP<br>|\n|COVID-19 vaccinators trained|Number of healthcare<br>workers and volunteers<br>trained on proper COVID-<br>19 vaccination|Monthly<br>|Report<br>|Routine Monitoring Data<br>|PIU/MINSAP<br>|\n|Risk Communication and Community<br>Engagement Strategy for COVID-19<br\n\nMention: \"Routine Monitoring Data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Programme routine data named as the source for vaccination training and strategy indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002510:15:1", "occurrence_id": "1ea38c89d8e25767783f3275", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in partnership with the Private Sector Foundation Uganda (PFSU), works\nwith a limited pool of motivated local financial intermediaries that that see women entrepreneurs as core to their future\nclient base.\n\n17. **Lack of access to infrastructure—particularly infrastructure that accommodates women’s needs—is one of the**\n**biggest obstacles preventing women-owned MSMEs from growing their businesses.** The Uganda Enterprise Survey for\n2014 found that infrastructure was the most important constraint, with 33.4 percent of firms ranking it as the biggest\nobstacle. <sup>26</sup> [^26: Uganda Enterprise Survey. 2014.] This includes poor road and transport infrastructure, poorly maintained markets and trading centers, and\nunreliable electricity and internet services, among others. A rapid assessment of common-user facilities for\nentrepreneurs recently supported by the State House and the Ministry of Local Government (MLG) found that that there\nwas significant opportunity to improve the gender inclusiveness of these existing facilities and establish multi-purposes\nservice and production facilities. Access to childcare infrastructure is a particularly critical constraint for women\nentrepreneurs. Studies indicate that only about 17 percent of women make use childcare services. <sup>27</sup> [^27: Oxfam (2016), Factors and Norms Influencing Unpaid Care Work: Household Survey Evidence from Five Rural Communities in Colombia, Ethiopia,\nthe Philippines, Uganda, and Zimbabwe.] The National Child\nPolicy of the Ministry of Gender, Labor, and Social Development (MGLSD) estimates that the national average is less than\n10 percent, and that refugee women do not benefit from what limited facilities exist. <sup>28</sup> [^28: Government of Uganda (2020), National Child Policy, p 19.] The challenges are quite distinct.\nIn rural areas childcare infrastructure is limited. Whereas in urban areas services exist, but demand outstrips supply and\nprices are too high for women entrepreneurs with micro or small enterprises.\n\n18. **Doubly excluded, refugee women\n\nMention: \"Uganda Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Found infrastructure the biggest obstacle for 33.4 percent of firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002545:4:1", "occurrence_id": "8fcabade3df8d2a926766ecf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  profit and provides\nonly short-term seasonal loans oftentimes associated with pre-harvest purchase of the farmer’s production at an undermarket price.\n\n6. **Women farmers have assumed a growing share of responsibility for agriculture in Punjab and their position in**\n**agriculture production could be strengthened.** In Punjab, approximately 74 percent of women depend on agriculture as\na source of livelihood. However, the low participation of women in the farming-related decision-making process deprives\nwomen farmers (especially smallholder women farmers) from accessing innovations, extension services,\nentrepreneurship training, and technologies, which ultimately limits their potential to grow and increase their incomes\nin agriculture and livestock. Their participation in marketing activities faces cultural barriers that expose them to the risk\nof exploitation, which further reduces their profitability. Social factors have also led to a lack of voice and agency among\nwomen farmers regarding access to natural as well as financial resources. For example, a majority of the loans provided\nto women are used by male heads of households, making it difficult for women to enter agribusiness activities and to\nconnect with formal value chains. Finally, the lack of sex disaggregated data within the agriculture sector contributes to\nthe lack of practical recommendations and policies promoting gender equality in agriculture. This results in higher\npoverty prevalence, along with an increasing ratio of stunting in rural children in Punjab.\n\n7. **Punjab has recently improved the policy environment for the processing and marketing of agricultural products.**\nWith the support of the Punjab Agriculture and Rural Transformation P4R program (SMART, P162446), the Punjab\nAgricultural Marketing Regulatory Authority (PAMRA) Act 2020 lifted some of the regulatory constraints that had been\nencumbering the agricultural marketing system for the past 80 years, notably by (a) mitigating the role of middlemen and\nchanging the power structure of the market by reducing government intervention that had benefited vested interests at\nthe expense of small and medium producers; (b) confining the role\n\nMention: \"sex disaggregated data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Absence of disaggregated agriculture statistics blocks practical gender-equality policy recommendations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002567:5:1", "occurrence_id": "f5f9918e83a4e2e565f0eee8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n**Safeguard Policies** **Triggered** **Explanation (Optional)**\nProjects on International Waterways OP\nNo no\n7.50\n\nProjects in Disputed Areas OP 7.60 No no\n\n\nSummary of Screening of Environmental and Social Risks and Impacts\nThe RETF component of this technical assistance activity is not expected to have adverse environmental and\nsocial impacts. Direct project workers will work under terms and conditions of work set by the national labor\nlaw that address issues of fair treatment, non-discrimination and equal opportunity as well as occupational\nhealth and safety. The project will organize online workshop and knowledge exchanges sessions with key\nstakeholders across the region to promote the use of system and the tool-kit. Conaci keeps channels of\ncontact with stakeholders and citizens through its website, e-mail address and phone line. The supported\nGovernance Risk Assessment System will use only data that is public or public in nature.\n\n\nJan 08, 2022 Page 6 of 8\n\nMention: \"data that is public or public in nature\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Constraint that the governance risk assessment system will use only public data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002597:33:0", "occurrence_id": "ea6746824c0c5cc29df9a57d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSaint Vincent and the Grenadines Volcanic Eruption Emergency Project (P176943)\n\n\n**Figure 2. Implementation Arrangements**\n\n\n_Note:_ PS = Permanent Secretary.\n\n\n**C.** **Sustainability**\n\n67. **Resilient infrastructure.** The proposed Project will adopt a “Building Back Better” approach to the\nrehabilitation and reconstruction of damaged infrastructure, ensuring that investments also allow St.\nVincent and the Grenadines to be better prepared for the impacts of climate change. The sustainability of\ninfrastructure investments will be ensured by using hazard and climate assessment maps and data to\ninform construction locations and standards, improved engineering standards—following the national\nbuilding code, engineering norms and construction regulations, operation and management, and\ninternational best practices—and expert engineering TA, technical audits, and on-site construction\nmonitoring support to improve the long-term climate resilience of public infrastructure. In addition, in\ncoordination with a World Bank ongoing TA (Resilient Transport in Small Island Developing States (RTSIDS)\nfunded by GFDRR Japan Program), the proposed Project will work on improving the asset management\nsystem to ensure that Project interventions are properly maintained systematically to sustain investments\nin the long term.\n\n\n68. **Temporary Grants, support services, and LITE.** The Early Recovery Income Support (ERIS) under\nComponent 1 of this Project provides temporary grants, access to support services to help smooth\nconsumption, enhance households’ self-agency to support a resilient recovery, and protect households\nfrom negative coping strategies on a sustained basis to ensure that resilience to future events is improved\n(for example, food insecurity). Moreover, the ERIS will respond to the Government’s request to support\ncleaning activities associated with ex-ante disaster mitigation, ex-post emergency response, or\ninfrastructure recovery.\n\n\nPage 29 of 73\n\nMention: \"hazard and climate assessment maps and data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Hazard and climate mapping used to set construction locations and standards for rebuilt infrastructure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002614:8:1", "occurrence_id": "64ecae6d36ab65e429eb50ba", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  expand and consolidate\nprior results achieved in these areas and move the needle on reducing the state’s water security risks and\nprepare and respond to extreme hydrological events.\n\n\n**C. Proposed Development Objective(s)**\n\nDevelopment Objective(s) (From PAD)\n(i) To strengthen the Borrower’s capacity to manage water security risks <sup>24</sup> in a changing climate and (ii) to reduce those\nrisks in selected areas of the Borrower’s territory, and (iii) in case of an Eligible Crisis or Emergency, respond promptly\nand effectively to it.\n\n\nKey Results\n\n\n       - Improved implementation of water resources management instruments <sup>25</sup> ;\n\n       - Command and control emergency response tool operational;\n\n       - Land area under restoration and/or sustainable landscape management practices;\n\n       - Itapemirim river basin forecast and early warning system operational and issuing bulletins; and\n\n       - Number of people benefitting from reduced water security risks, disaggregated by gender.\n\n\n**D. Project Description**\n\n\n17. **The proposed Project is a US$114.14 million Investment Project Financing (IPF) operation,**\n\n\n22 Espírito Santo Integrated Sustainable Water Management Project (P130682) approved in 2014.\n23 Bank operations have contributed to improved sewerage treatment and collection indicators in Espírito Santo. Between 2010\nand 2019, access increased from 39.9 percent to 55.9 percent, with the highest improvement among the urban population,\nwhose access rose from 46.7 percent to 62.8 percent.\n24 Water security risks refer to the probability of damages on people and assets from water deficits (when water demand\nexceeds availability) or from hydrological extreme events, namely floods, landslides or droughts.\n25 Special focus on the update of the State Water Resources Plan, the water rights including decision support system, and the\nState water resources information system.\n\n\nOct 06, 2022 Page 9 of 16\n\nMention: \"Itapemirim river basin forecast and early warning system\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Basin forecast system whose operation and bulletins are a results indicator for water security.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002597:44:0", "occurrence_id": "688c2fd50f004b14e56178ce", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSaint Vincent and the Grenadines Volcanic Eruption Emergency Project (P176943)\n\n\n107. **Gender.** The World Bank Gender Strategy for 2016–2023 <sup>42</sup> and the GFDRR Gender Action Plan for\n2016–2021 <sup>43</sup> identify climate change and DRM as emerging areas that require a gender lens. They also\nhighlight the importance of analyzing gender equality and women and girls’ empowerment as the key to\nstrengthening resilience. Both the strategy and the plan are aligned with the UN Sendai Framework for\nDisaster Risk Reduction 2015–2030, <sup>44</sup> which states among its principles that DRR requires gender, age,\ndisability, and cultural perspectives in all policies. In the case of St. Vincent and the Grenadines, early\nindications are that the La Soufrière volcanic eruptions have disproportionately affected women and girls.\n\n\n108. **Gender gap.** The National Evacuation Report (June 5, 2021) <sup>45</sup> estimates that 60 percent of\ndisplaced individuals are female, of which 62 percent are older than 18 years. The report further shows\nthat the women of working age (older than 18 years) have been affected and displaced by a ratio of 2:1\ncompared to men of the same age group. In St. Vincent and the Grenadines, there are approximately\n13,327 farmers (64.6 percent males and 35.4 percent females), of which 28.2 percent are in the red and\norange zones. <sup>46</sup> In terms of the fishing sector, there are 1,748 registered fishers throughout St. Vincent\nand the Grenadines, with 469 in the affected area; 75.9 percent of fishers in the red and orange zones are\nmales, while females represent 24.1 percent. Meanwhile, 76.\n\nMention: \"National Evacuation Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Evacuation report showing 60 percent of displaced people female, 62 percent of them over 18.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002628:7:1", "occurrence_id": "b8eae06496de91df67ef1bfd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  strengthening human capital and empowering\nwomen; and (iii) boosting climate resilience. It would also contribute to all of the forthcoming IFC Country Strategy’s\nthree strategic priorities for FY22-26 of: (i) growing and formalizing the MSME segment; (ii) diversifying the agribusiness\nsector beyond cotton; and (iii) alleviating physical infrastructure barriers. Finally, the design of the proposed activities\nwould integrate the findings and recommendations of key World Bank Group studies, including: (i) the Burkina Faso\nCountry Private Sector Diagnostic (CPSD, 2020), (ii) the Private Sector Recovery and Jobs Creation Post Covid-19 in Burkina\n(2021), (iii) the Youth Employment in Value Chains in Burkina Faso: Opportunities for Youth in High-potential Value Chains\nin the Cities of Dori and Fada N’Gourma (2021), (iv) the Burkina Faso Jobs Diagnostic (2018), and (v) the World Bank’s\nforthcoming Sahel regional report on Education.\n\n\n**C. Proposed Development Objective(s)**\n\n\n19. The project development objective (PDO) is to increase MSME access to finance, markets, technologies, and a better\ntrained workforce.\n\n20. The proposed interventions would contribute to an accelerated pace of economic transformation and help produce\nmore and better jobs. The interventions would support both growth-oriented small businesses that mostly operate in\nthe informal sector and dynamic, small and medium-sized enterprises (SMEs) that mostly operate in the formal sector.\nThe integrated set of support activities would positively affect the survival rate of new enterprises and help strengthen\nthe competitiveness of select value chains as requested by the GoBF. Figure 4, below the outline of the Components,\npresents a Results Chain of the constraints, the interventions and the expected high- and low-level outcomes.\n\n**Key Results (From PCN)**\n\n\nThe PDO will be measured by the following key outcome indicators:\n\n1. Number\n\nMention: \"Burkina Faso\nCountry Private Sector Diagnostic\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"One of the Bank Group studies whose findings shape the project's MSME activities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002628:7:1", "occurrence_id": "68e751371a024d73746d060c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  strengthening human capital and empowering\nwomen; and (iii) boosting climate resilience. It would also contribute to all of the forthcoming IFC Country Strategy’s\nthree strategic priorities for FY22-26 of: (i) growing and formalizing the MSME segment; (ii) diversifying the agribusiness\nsector beyond cotton; and (iii) alleviating physical infrastructure barriers. Finally, the design of the proposed activities\nwould integrate the findings and recommendations of key World Bank Group studies, including: (i) the Burkina Faso\nCountry Private Sector Diagnostic (CPSD, 2020), (ii) the Private Sector Recovery and Jobs Creation Post Covid-19 in Burkina\n(2021), (iii) the Youth Employment in Value Chains in Burkina Faso: Opportunities for Youth in High-potential Value Chains\nin the Cities of Dori and Fada N’Gourma (2021), (iv) the Burkina Faso Jobs Diagnostic (2018), and (v) the World Bank’s\nforthcoming Sahel regional report on Education.\n\n\n**C. Proposed Development Objective(s)**\n\n\n19. The project development objective (PDO) is to increase MSME access to finance, markets, technologies, and a better\ntrained workforce.\n\n20. The proposed interventions would contribute to an accelerated pace of economic transformation and help produce\nmore and better jobs. The interventions would support both growth-oriented small businesses that mostly operate in\nthe informal sector and dynamic, small and medium-sized enterprises (SMEs) that mostly operate in the formal sector.\nThe integrated set of support activities would positively affect the survival rate of new enterprises and help strengthen\nthe competitiveness of select value chains as requested by the GoBF. Figure 4, below the outline of the Components,\npresents a Results Chain of the constraints, the interventions and the expected high- and low-level outcomes.\n\n**Key Results (From PCN)**\n\n\nThe PDO will be measured by the following key outcome indicators:\n\n1. Number\n\nMention: \"Burkina Faso Jobs Diagnostic\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Jobs diagnostic informing the project's employment-oriented design.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002604:60:1", "occurrence_id": "f908c5d9a89728ee573d8ece", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *\n\n77. **Despite considerable progress, gender inequality continues to be a societal problem in Somalia, primarily due to**\n**cultural norms and traditions.** Somalia has one of the highest gender inequality indices (GII) in the world at close to 0.8\n(2012), ranking fourth worldwide in terms of gender disparities. Women are often impeded from fully accessing health\nand education services, and benefitting from employment opportunities, leaving many with limited autonomy and heavy\ndependence on spouses. This is further exacerbated by conflict, insecurity, and widespread poverty, which leave women\ndisproportionately vulnerable to gender-based violence. The health and economic impacts of COVID-19, in tandem with\ngovernment mandated lockdowns, have only amplified these challenges. Furthermore, with the initial focus on target\ngroups which are comprised of women has lagged during the initial stage with women representing only 25 percent of\nthose vaccinated to date.\n\n78. **To address gender related vaccination concerns several strategies have been identified and built into the project**\n**design** . Under Component 1 Vaccine Deployment and Acquisition: Sub-Component 1.2 Social Mobilization Efforts\n(US$5.0 million IDA financing), the Project will support social mobilization efforts such as tailoring communication\nmaterials to target women and adapting outreach services to reach women, including use of women-led community\nplatforms.  A special emphasis will be placed on leveraging the voices of Somali women to promote COVID-19 vaccine\nacceptance, drawing on findings from the Africa Voices Foundation survey. The Project will also train health workers at\ncommunity and hospital levels and sensitize them to understand and address the needs of female clients. Finally, to\naddress geographic disparities in uptake of vaccine by sex, the Project will support tracking and monitoring of acceptance\nof COVID-19 vaccines by women with a view to identifying gaps early and identifying remedial actions.\n\n**Climate**\n\n79. **The** **project has been screened\n\nMention: \"Africa Voices Foundation survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Survey findings on Somali women's voices used to shape vaccine-acceptance outreach.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002614:4:2", "occurrence_id": "f109d869388da8e225e1a728", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in many areas,\nincluding climate adaptation through increased water security, which the proposed Project will support.\nIn December 2020, the state government launched an economic recovery plan ( _Plano Espírito Santo –_\n_Convivência Consciente)_ to mitigate the effects from the COVID-19 pandemic, focused on boosting public\nand private investments, promoting productive inclusion, and creating jobs. Achieving these goals will\nrequire particular attention to gender disparities: even before the pandemic, women’s participation in the\nlabor market in SES was significantly lower than men’s (57.3 percent compared to 77.1 percent). <sup>16</sup>\n\n\nSectoral and Institutional Context\n\n\n**Sectoral Context**\n\n\n13 According to UNDP’s Human Development Atlas of 2017: http://www.atlasbrasil.org.br/ranking.\n14 The _Cadastro Único (CadUnico)_ is the country’s social registry used to identify individuals and households that are eligible to\nreceive government support. The half a minimum wage per capita income threshold (R$550 monthly) used by the CadUnico has\nbeen found to be a close representation of the costs of basic needs in Brazil (Lara Ibarra et al. 2021) and helps thus accounting\nfor a broader group of low income-households.\n15 The document was published in 2013. Access: https://planejamento.es.gov.br/Media/sep/Plano%20ES%202030/ES2030.pdf\n16 According to 2019 data from the Instituto Jones dos Santos Neves. Access:\nhttp://www.ijsn.es.gov.br/component/attachments/download/7507\n\n\nOct 06, 2022 Page 5 of 16\n\nMention: \"2019 data from the Instituto Jones dos Santos Neves\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"State statistics institute data cited with a direct link for the low-income household figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002609:72:0", "occurrence_id": "6003ff3892b4736743393c11", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nResilient Tourism and Blue Economy Development in Cabo Verde Project (P176981)\n\n\n  - **Additional growth rate.** A steady state revenue growth rate of 3 percent for entrepreneurs\nwithout the project investments is estimated, with additional revenue growth of 10 percent for\nbeneficiaries receiving project support.\n\n\n13. The above assumptions are supported by a wide range of studies in different regions on the\nimpact of different types of support services for SMEs:\n\n   - A series of studies finds significant impacts from training programs on profits or sales in\ndeveloping countries based on evidence from rural Mexico, <sup>34</sup> Colombia, <sup>35</sup> and other economies. <sup>36</sup>\nThis impact applies across various types of beneficiaries, including microenterprises. <sup>37</sup>\n\n   - Supporting climate-related upgrades in fisheries SMEs, such as fisheries and aquaculture, can\nincrease revenues and boost adaptive capacity and resilience of communities and the\necosystems on which they depend. <sup>38</sup>\n\n   - The Sarder et al. (1997) <sup>39</sup> study, “The Importance of Support Services to Small Enterprises in\nBangladesh,” finds 5–16 percent increase in employment, sales, and productivity with\ntechnology adoption support provided to SMEs.\n\n   - Tan and Lopez-Acevedo (2005) <sup>40</sup> look at the impact of SME programs in Mexico using panel firm\ndata and find that 9–14 percent improvement in training and 9 percent improvement in\ntechnology absorption have been achieved. Various SME programs in Chile presented similar\nresults.\n\n   - Lopez-Acevedo and Tan (2010), “Impact Evaluation of SME Programs in Latin America and\nCaribbean,” finds an 8 percent increase in wages and 9 percent increase in productivity as a result\nof these programs\n\nMention: \"panel firm\ndata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Firm panel behind the Mexican SME programme evaluation finding 9–14 percent improvements.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002631:10:1", "occurrence_id": "0729edbc9b95c8ffb1dfbced", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  domestic\ndemand and a modest uptick in global growth.\n\n\n2. **The Philippines is highly vulnerable to natural disasters, which are projected to intensify with climate change.** The\nPhilippines is ranked first globally by the 2023 World Risk Report on disaster risk <sup>1</sup> [^1: World Risk Report, https://weltrisikobericht.de, November 2023], and fifth by the Global Climate Risk\nIndex Report on weather-related losses. Located in the middle of the Pacific Typhoon Belt, an average of 20 tropical\ncyclones are entering or developing within the Philippines every year, of which eight make landfall. Sixty percent of\nthe Philippines land area and 74 percent of the population is exposed to multiple hazards (including non-climateinduced hazards such as volcanos, earthquakes, and tsunamis). Climate change is expected to make severe weather\nevents more frequent and damaging in the future. The World Bank’s 2022 Philippines Country Climate and\nDevelopment Report <sup>2</sup> [^2: World Bank, Philippines Country Climate and Development Report, 2022] (CCDR) estimates that economic damage resulting from such weather events could reach up to\n7.6 percent of GDP by 2030 and 13.6 percent of GDP by 2040.\n\n\n3. **Continued economic and labor market recovery post-COVID has supported poverty and inequality reduction.**\nPoverty fell from 23.3 percent in 2015 to 16.7 percent in 2018, and the Gini coefficient declined from 44.9 to 42.7 over\nthe same period. The COVID pandemic partly reversed gains in poverty reduction and inequality, increasing poverty\nto 18.1 percent in 2021, with negative consequences on health and education in the most vulnerable areas. However,\nby 2023, poverty had recovered to lower than pre-pandemic levels, reaching 15.5 percent, and inequality fell, reaching\na Gini index of 39.1, the lowest since this indicator began to be tracked. Of those living in poverty in 2023,\napproximately 4\n\nMention: \"2023 World Risk Report on disaster risk\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks the Philippines first globally in disaster risk.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002631:10:1", "occurrence_id": "473531bfb5f7d229a810414f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  domestic\ndemand and a modest uptick in global growth.\n\n\n2. **The Philippines is highly vulnerable to natural disasters, which are projected to intensify with climate change.** The\nPhilippines is ranked first globally by the 2023 World Risk Report on disaster risk <sup>1</sup> [^1: World Risk Report, https://weltrisikobericht.de, November 2023], and fifth by the Global Climate Risk\nIndex Report on weather-related losses. Located in the middle of the Pacific Typhoon Belt, an average of 20 tropical\ncyclones are entering or developing within the Philippines every year, of which eight make landfall. Sixty percent of\nthe Philippines land area and 74 percent of the population is exposed to multiple hazards (including non-climateinduced hazards such as volcanos, earthquakes, and tsunamis). Climate change is expected to make severe weather\nevents more frequent and damaging in the future. The World Bank’s 2022 Philippines Country Climate and\nDevelopment Report <sup>2</sup> [^2: World Bank, Philippines Country Climate and Development Report, 2022] (CCDR) estimates that economic damage resulting from such weather events could reach up to\n7.6 percent of GDP by 2030 and 13.6 percent of GDP by 2040.\n\n\n3. **Continued economic and labor market recovery post-COVID has supported poverty and inequality reduction.**\nPoverty fell from 23.3 percent in 2015 to 16.7 percent in 2018, and the Gini coefficient declined from 44.9 to 42.7 over\nthe same period. The COVID pandemic partly reversed gains in poverty reduction and inequality, increasing poverty\nto 18.1 percent in 2021, with negative consequences on health and education in the most vulnerable areas. However,\nby 2023, poverty had recovered to lower than pre-pandemic levels, reaching 15.5 percent, and inequality fell, reaching\na Gini index of 39.1, the lowest since this indicator began to be tracked. Of those living in poverty in 2023,\napproximately 4\n\nMention: \"2022 Philippines Country Climate and\nDevelopment Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimates weather-related economic damage reaching 7.6 percent of GDP by 2030.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002631:39:1", "occurrence_id": "19027f1e2f053a6df461a138", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Corridor maintained under Output/ Long-Term and Performance-Based Road Contract(s) (Kilometers)|Main Corridor maintained under Output/ Long-Term and Performance-Based Road Contract(s) (Kilometers)|\n|Description|The indicator will measure length of CDO – Davao – General Santos Corridor (Main Corridor) maintained<br>under Output/ Long-Term and Performance-Based Road Contract(s).|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Progress Reports of construction supervision consultants|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of the Main Corridor achieving 3 or better star rating for safety as per iRAP survey (Percentage)|Share of the Main Corridor achieving 3 or better star rating for safety as per iRAP survey (Percentage)|\n|Description|The indicator will measure length of the CDO – Davao – General Santos Corridor (Main Corridor) achieving 3<br>or better star rating for safety as per iRAP survey.|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|As per M&E surveys, before / after project implementation.|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|**Component 3: Capacity building and Institutional Development**|**Component 3: Capacity building and Institutional Development**|\n|Staff of local contractors trained in the areas of Output/ Long-Term and Performance-based Road Contracts, climate resilience, road safety, and<br>environmental and social risk management (Number).|Staff of local contractors trained in the areas of Output/ Long-Term and Performance-based Road Contracts, climate resilience, road safety, and<br>environmental and social risk management (Number).|\n|Description|\n\nMention: \"iRAP survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Road safety star-rating survey used to verify corridor safety performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002631:40:1", "occurrence_id": "b27fcfd146e6e1dcc2b0679c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: DA) (Number)|Local women trained on road construction and O&M under the project certified by an authorized authority (TESDA) (Number)|\n|Description|The indicator will measure the number of local women trained by TESDA on road construction and O&M|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Training attendance records of TESDA|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|\n|Description|The indicator will measure the percentage of women out of the total local labor requirement that were hired<br>under the project.|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Civil Works Contractor reports|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|\n|Description|Pilot women’s labor association established composed of local women trained on skills on road construction<br>and O&M and accredited by an LGU|\n|Frequency|Annual|\n|Data Source|M&E Reports|\n|Methodology for Data Collection|Record of accredication from an LGU|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women members of the Association who secured jobs in construction (percentage)|Share of women members of the Association who secured jobs in construction (percentage)|\n\nMention: \"M&E Reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Project monitoring reports named as the data source for the training indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002631:40:1", "occurrence_id": "315dd985ca8613c0a6624bd6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: DA) (Number)|Local women trained on road construction and O&M under the project certified by an authorized authority (TESDA) (Number)|\n|Description|The indicator will measure the number of local women trained by TESDA on road construction and O&M|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Training attendance records of TESDA|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|\n|Description|The indicator will measure the percentage of women out of the total local labor requirement that were hired<br>under the project.|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Civil Works Contractor reports|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|\n|Description|Pilot women’s labor association established composed of local women trained on skills on road construction<br>and O&M and accredited by an LGU|\n|Frequency|Annual|\n|Data Source|M&E Reports|\n|Methodology for Data Collection|Record of accredication from an LGU|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women members of the Association who secured jobs in construction (percentage)|Share of women members of the Association who secured jobs in construction (percentage)|\n\nMention: \"Training attendance records of TESDA\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Attendance records underlying the count of women trained and certified.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002631:40:1", "occurrence_id": "05943c1e5f188929b462b368", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: DA) (Number)|Local women trained on road construction and O&M under the project certified by an authorized authority (TESDA) (Number)|\n|Description|The indicator will measure the number of local women trained by TESDA on road construction and O&M|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Training attendance records of TESDA|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|\n|Description|The indicator will measure the percentage of women out of the total local labor requirement that were hired<br>under the project.|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Civil Works Contractor reports|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|\n|Description|Pilot women’s labor association established composed of local women trained on skills on road construction<br>and O&M and accredited by an LGU|\n|Frequency|Annual|\n|Data Source|M&E Reports|\n|Methodology for Data Collection|Record of accredication from an LGU|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women members of the Association who secured jobs in construction (percentage)|Share of women members of the Association who secured jobs in construction (percentage)|\n\nMention: \"Civil Works Contractor reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Contractor reporting used to measure the share of women hired from local labour.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002631:40:1", "occurrence_id": "68afebefb78ebb85ea37223f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: DA) (Number)|Local women trained on road construction and O&M under the project certified by an authorized authority (TESDA) (Number)|\n|Description|The indicator will measure the number of local women trained by TESDA on road construction and O&M|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Training attendance records of TESDA|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|Share of women out of the total local labor requirement trained, certified, and hired in road construction (Percentage)|\n|Description|The indicator will measure the percentage of women out of the total local labor requirement that were hired<br>under the project.|\n|Frequency|Annual|\n|Data source|M&E Reports|\n|Methodology for Data Collection|Civil Works Contractor reports|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|Women’s Association in road infrastructure sector accredited by an LGU in one selected region in Mindanao (Number)|\n|Description|Pilot women’s labor association established composed of local women trained on skills on road construction<br>and O&M and accredited by an LGU|\n|Frequency|Annual|\n|Data Source|M&E Reports|\n|Methodology for Data Collection|Record of accredication from an LGU|\n|Responsibility for Data Collection|DPWH, M&E Consultants|\n|Share of women members of the Association who secured jobs in construction (percentage)|Share of women members of the Association who secured jobs in construction (percentage)|\n\nMention: \"Record of accredication from an LGU\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Local government accreditation record evidencing establishment of a women's labour association.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002604:20:1", "occurrence_id": "5d2598f2da1abc55354c5214", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  human resources (0.92 health\nworkers/1000 people) is below the WHO’s minimum standard (2.3 health workers/1000 people). The national supply\nchain faces ongoing challenges, but there have been some modest improvements in vaccine management, including\nstorage capacity, equipment and transport, and management information (Effective Vaccine Management Assessment,\n2016). The Government’s role in the provision of health services is limited with most services delivered by NonGovernmental Organizations (NGOs). As a result of both supply and demand side impediments health service\nutilization is low, particularly in the public sector, where it is estimated at 0.23 outpatient visits per person per year\nand 0.81 hospital discharges per one hundred people per year Service Availability Readiness Assessment (SARA) in\n2016. By contrast, the private sector plays a key role in the delivery of health services in Somalia (providing roughly 60\npercent of services and delivering 70 percent of medicines), primarily in urban areas, with patients preferring these\nfacilities due to the perceived higher quality and availability of drugs. Pharmacies are one of the most accessible health\ncare delivery platforms for many Somalis. Clan structures play a major role in determining where people access care,\nhighlighting the importance of involving community leaders in the COVID-19 immunization program. Likewise, religious\n\n14\n\nMention: \"Service Availability Readiness Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Assessment behind the health workforce density and service utilisation estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002633:2:0", "occurrence_id": "1a2c3ae2a646933d15c764b6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nYemen Social Protection Enhancement and COVID-19 Response AF (P177020)\n\n\n|World Bank Group Financing|Col2|\n|---|---|\n|International Development Association (IDA)|300.00|\n|IDA Grant|300.00<br>|\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n**The living standards of the Yemeni population have deteriorated even further since the beginning of 2020,**\n**with food insecurity and malnutrition reaching alarming levels** . Years of conflict had already devastated the\neconomy and impoverished the population by the end of 2019. Gross Domestic Product (GDP) had shrunk in half\nin real terms since 2015, and food poverty had increased dramatically, as household incomes plummeted, local\nfood production and agricultural assets were destroyed, and food prices increased—the cost of the minimum\nsurvival food basket increased by 123 percent between March 2015 and December 2019. The percentage of the\npopulation at risk of famine <sup>1</sup> [^1: Phases 3, 4 and 5 of the Integrated Food Security Phase Classification (IPC).] increased by 21 percent in 2015 relative to 2014 and continued to increase until it\npeaked in December 2018, where 53 percent of the population (15.9 million) were at risk of famine. The situation\nimproved in 2019, only to deteriorate again in 2020: according to the latest projections (December 2020), 16.2\nmillion people were projected to be at risk of famine by June 2021. High frequency phone survey data suggest\nthe situation is likely to be even worse, particularly in the South: the incidence of inadequate food consumption\nin the South increased from 41 percent (already above the 2018 crisis level of 40 percent) in January 2021, to 53\npercent in November 2021 (from 37 percent to 46 percent in the North). <sup>2</sup>\n\n**Women and children\n\nMention: \"High frequency phone survey data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Phone survey showing inadequate food consumption rising above the 2018 crisis level.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002633:2:1", "occurrence_id": "1f40e1d5e1638bf57be6b9db", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ) in January 2021, to 53\npercent in November 2021 (from 37 percent to 46 percent in the North). <sup>2</sup>\n\n**Women and children are most at risk, further eroding Yemen’s human capital** . About 1.1 million pregnant and\nlactating women were projected to suffer from acute malnutrition during 2021. The levels of child stunting (46\npercent) and wasting (16 percent) are among the highest in the world, more than 80 percent of young children\nare sub-optimally fed (and thus at a risk for becoming undernourished), and two million children require\ntreatment for acute malnutrition. The lack of access to maternal and child health and nutrition (MCH&N) services\nas well as safe drinking water and proper sanitation—key to preventing and treating malnutrition—have\nexacerbated the food security crisis. Access to health care has also deteriorated during the current food security\ncrisis. <sup>3</sup> Severe child malnutrition, particularly during the first 1,000 days, causes irreparable damage to their\nfuture health and brain development and is a large contributor to the eroding human capital of Yemen: the future\n\n\n1 Phases 3, 4 and 5 of the Integrated Food Security Phase Classification (IPC).\n2 Data collected by the World Food Program (WFP) through monthly mobile phone surveys. The incidence of inadequate food consumption\n(IFC) is the share of the sample with poor or borderline food consumption as measured by a Food Consumption Score (FCS) of 42 or below.\n3 The Food Security Crisis in Yemen, World Bank, September 2021.\n\n\nJan 20, 2022 Page 3 of 10\n\nMention: \"monthly mobile phone surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"WFP phone surveys measuring inadequate food consumption via the Food Consumption Score.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002669:23:1", "occurrence_id": "198c3f16cf63ea5ee62c160d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  tools (e.g., SPADE-PLUS), preparation of tolling\npolicy, road maintenance policy, support to scale up performance-based contracts through coordination\nwith the Asian Development Bank (ADB) on existing financed projects, and public–private participation in\nroads (project preparation and contract management).\n\n\n(b) Use the WB developed GEMS for remote monitoring of road upgrading and infrastructure works funded\n\nby the project.\n\n\n(c) Develop tools and boost the capacity of the E&SED and CWD to leverage geospatial analyses to select sites\n\nfor the construction of schools. With such tools and accompanying changes to decision-making processes,\nthe GoKP will be able to optimize infrastructure investments to boost access to schools. It will build on\nefforts to strengthen data on schools (including private schools) funded under the KP HCI project. <sup>54</sup> [^54: See for instance, the work done by <mark>Geo-referenced Infrastructure and Demographic Data for Development in Sierra Leone: GRID3.</mark>\n<mark>2021. “Sierra Leone Government uses GRID3 Insights for New School Infrastructure and Catchment Area Planning Policy.”</mark>\n<mark>[https://grid3.org/news/report-provides-insight-for-improving-access-to-education-in-sierra-leone; a](https://grid3.org/news/report-provides-insight-for-improving-access-to-education-in-sierra-leone)</mark> n <mark>d in Nigeria: GRID3. 2020. “How</mark>\n<mark>[Geospatial Data Can Help Solve Nigeria’s Educational Challenges.” https://grid3.org/news/how-geospatial-data-can-help-solve-nigerias-](https://grid3.org/news/how-geospatial-data-can-help-solve-nigerias-educational-challenges)</mark>\n<mark>[educational-challenges.](https://grid3.org/news/how-geospatial-data-can-help-solve-nigerias-educational-challenges)</mark>] The\napproach can also be extended to other social amenities such as healthcare facilities and markets, subject\nto the availability of data and with support from concerned departments.\n\n\n(d) Fund the impact evaluation of interventions in\n\nMention: \"Geo-referenced Infrastructure and Demographic Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"GRID3 work cited as precedent for georeferenced school data guiding infrastructure planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002669:21:1", "occurrence_id": "7aecd80597c647424df2d321", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  following criteria: (i) a home-to-school threshold of 1.5 km, <sup>49</sup> which may be adjusted based on the\ndetailed survey; (ii) needs, defined based on qualification for other cash transfer programs (such as the\nBenazir Income Support Program), while ensuring that children are not already receiving other subsidies\nfor transportation; and (iii) lack of access to other private means of transport. Children will be required to\nmaintain an attendance of at least 80 percent <sup>50</sup> (decided in consultation with the GoKP and to be\nmonitored on a semi-annual basis) to remain eligible for the subsidy. Smaller scale pilots may be\nconsidered in parallel with the detailed study, subject to data availability and readiness of the Project\nImplementation Unit (PIU).\n\n\n(d) **Level of subsidy.** The project will subsidize up to 70 percent of transport costs (a survey of transport costs\n\nundertaken by I-SAPS in rural KP found them to be typically in the range of PKR 1,000 to PKR 2,500 per\nmonth), with parents being expected to cover the remainder. Based on this level of subsidy, the budget\nand reasonable ramp up in numbers, over 65,000 girls <sup>51</sup> may be supported during the course of the\nproject.\n\n\n46 Note that this may not be 5,000 unique individuals, as some girls that are supported to re-enroll may remain enrolled for several years\nthereafter and will continue to receive the subsidized transport provided, they meet the attendance bar.\n47 NMDs have been avoided for this intervention to avoid any overlap with the KP Rural Investment and Institutional Support Project,\nwhich will develop local service delivery models leveraging village councils and may include accessibility related interventions. OOS rates\nfor rural girls in the five districts are: 90 percent (Kohistan),\n\nMention: \"detailed survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Survey expected to refine the home-to-school distance threshold used in beneficiary targeting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002674:7:1", "occurrence_id": "4c533fba3ab1bf25e2a10268", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 64).\n\n\n16. **Gender.** There is limited information of gender gaps in Alagoas from State information systems. SEPLAG\nrecognizes that lack of gender-relevant data is a significant shortcoming that will need to be addressed as core\nmanagement information systems are put in place. Progestão Alagoas will address gender issues directly in three areas:\nleadership positions; sexual harassment; and public procurement. The State has committed to strengthen women’s\nrepresentation in leadership positions. Women represent almost half of the State workforce, occupying 47 percent of\ntenured positions and 41 percent of leadership positions overall, but women occupation just 25 percent of the most\nsenior level 1 and 11 percent in level 2 positions.  The State government has also committed to ensuring a safe and fair\nworking environment for all employees with adequate protections for female staff. Employee misconduct is regulated\nby Law 5,247 of July 1991 ( _Estatuto do Servidor_ ). This legislation does not consider sexual harassment, referring only to\nthe prohibition of “physical offense, in service, to a civil servant or to a citizen, unless in legitimate self-defense”. The\nState’s administrative procedure do not adequately address harassment complaints. The State intends to strengthen\nprotections by establishing a sexual harassment reporting mechanism. Comparison of State procurement data with the\nfederal enterprise data base, reveals that women-owned businesses were awarded 21 percent of contracts, compared\nwith 45 percent going to businesses owned by men and the balance to businesses owned by both men and women. The\nnew Brazilian Public Procurement Law (n. 14.133/2021) does not define women-owned business definition or have a\ngender-oriented procurement policy. The State intends to gather information on the ownership of businesses\nparticipating in public procurement and implement policies that will promote women’s participation.\n\n\n**C. Proposed Development Objective(s)**\nDevelopment Objective(s) (From PAD)\n\n\n17. Improve efficiency in public\n\nMention: \"State procurement data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Procurement records compared with federal data showing women-owned firms won 21 percent of contracts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002674:7:1", "occurrence_id": "8a6ebc7248a01faabd6ea9e8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 64).\n\n\n16. **Gender.** There is limited information of gender gaps in Alagoas from State information systems. SEPLAG\nrecognizes that lack of gender-relevant data is a significant shortcoming that will need to be addressed as core\nmanagement information systems are put in place. Progestão Alagoas will address gender issues directly in three areas:\nleadership positions; sexual harassment; and public procurement. The State has committed to strengthen women’s\nrepresentation in leadership positions. Women represent almost half of the State workforce, occupying 47 percent of\ntenured positions and 41 percent of leadership positions overall, but women occupation just 25 percent of the most\nsenior level 1 and 11 percent in level 2 positions.  The State government has also committed to ensuring a safe and fair\nworking environment for all employees with adequate protections for female staff. Employee misconduct is regulated\nby Law 5,247 of July 1991 ( _Estatuto do Servidor_ ). This legislation does not consider sexual harassment, referring only to\nthe prohibition of “physical offense, in service, to a civil servant or to a citizen, unless in legitimate self-defense”. The\nState’s administrative procedure do not adequately address harassment complaints. The State intends to strengthen\nprotections by establishing a sexual harassment reporting mechanism. Comparison of State procurement data with the\nfederal enterprise data base, reveals that women-owned businesses were awarded 21 percent of contracts, compared\nwith 45 percent going to businesses owned by men and the balance to businesses owned by both men and women. The\nnew Brazilian Public Procurement Law (n. 14.133/2021) does not define women-owned business definition or have a\ngender-oriented procurement policy. The State intends to gather information on the ownership of businesses\nparticipating in public procurement and implement policies that will promote women’s participation.\n\n\n**C. Proposed Development Objective(s)**\nDevelopment Objective(s) (From PAD)\n\n\n17. Improve efficiency in public\n\nMention: \"federal enterprise data base\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Federal business registry supplying the ownership comparison benchmark.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002674:4:1", "occurrence_id": "073c0ee38d4ab3689d941293", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  agency integrates the calculation of benefits and payment for the executive, legislative, and\njudiciary employees under one system. Alagoas will need to establish a pension management information system,\nstrengthen tools and training if it is to successfully implement these reforms.\n\n\n8. **Procurement.** State government spending on procurement has increased at an average rate of 14 percent over\nthe last four years and amounted to approximately R$1.5 billion, 14.3 percent of total expenditure, in 2020. Alagoas’\npublic procurement system is partially centralized: a Central Procurement Agency ( _Agência de Modernização e Gestão de_\n_Processo_, AMGESP) is responsible for the common items while line agencies are responsible for procurement that\nrequires specific technical knowledge. Even though AMGESP manages a substantial part of public procurement it has\nlimited information on procurement activities across the State government. The information that is available is\nconsolidated in a basic spreadsheet. Price data is only available at the time of budgetary execution, there is no systematic\nreporting on acquisition processes or compliance with procurement policy commitments, such as the requirement that\nat least 30 percent of government purchases are supplied by SMEs. A 2018 survey revealed that just 513 procurement\nprocesses, 25 percent of the total, followed fully competitive procedures. Most of procurement processes had a small\nnumber of bidders, short deadlines for proposal submissions, and purchase modalities that were not conducive to\ncompetitive pricing. Procurement information on the State government’s transparency portal is limited to the total\nnumber of processes by procurement modality. Further work is needed on the regulatory framework and systems to\nsupport sustainable, climate friendly and green procurement and to address gender equality considerations (see para\n22). AMGSEP could generate substantial savings by promoting competitive processes, consolidating demand across State\nagencies, strengthening procurement planning and monitoring using a modern procurement information system.\n\n\n9. **Public Investment Management.** Between 2016 and 2020, Alagoas maintained public investment close\n\nMention: \"Price data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Prices available only at budget execution, part of the fragmented procurement information diagnosis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002674:4:1", "occurrence_id": "d004aba7a4fef8a1f4bb6b67", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  agency integrates the calculation of benefits and payment for the executive, legislative, and\njudiciary employees under one system. Alagoas will need to establish a pension management information system,\nstrengthen tools and training if it is to successfully implement these reforms.\n\n\n8. **Procurement.** State government spending on procurement has increased at an average rate of 14 percent over\nthe last four years and amounted to approximately R$1.5 billion, 14.3 percent of total expenditure, in 2020. Alagoas’\npublic procurement system is partially centralized: a Central Procurement Agency ( _Agência de Modernização e Gestão de_\n_Processo_, AMGESP) is responsible for the common items while line agencies are responsible for procurement that\nrequires specific technical knowledge. Even though AMGESP manages a substantial part of public procurement it has\nlimited information on procurement activities across the State government. The information that is available is\nconsolidated in a basic spreadsheet. Price data is only available at the time of budgetary execution, there is no systematic\nreporting on acquisition processes or compliance with procurement policy commitments, such as the requirement that\nat least 30 percent of government purchases are supplied by SMEs. A 2018 survey revealed that just 513 procurement\nprocesses, 25 percent of the total, followed fully competitive procedures. Most of procurement processes had a small\nnumber of bidders, short deadlines for proposal submissions, and purchase modalities that were not conducive to\ncompetitive pricing. Procurement information on the State government’s transparency portal is limited to the total\nnumber of processes by procurement modality. Further work is needed on the regulatory framework and systems to\nsupport sustainable, climate friendly and green procurement and to address gender equality considerations (see para\n22). AMGSEP could generate substantial savings by promoting competitive processes, consolidating demand across State\nagencies, strengthening procurement planning and monitoring using a modern procurement information system.\n\n\n9. **Public Investment Management.** Between 2016 and 2020, Alagoas maintained public investment close\n\nMention: \"2018 survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey finding only 513 of procurement processes, 25 percent, fully competitive.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002679:9:0", "occurrence_id": "f99a7457f35e24ce565aa314", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNigeria COVID-19 Preparedness and Response Project Additional Financing (P177076)\n\n\n**17.** **The GoN’s response to the COVID-19 pandemic is hinged principally on prevention with vaccination**\n**as the cornerstone.** However, due to the global shortage in the availability of vaccines, the country\nhas only been able to vaccinate about 0.95 percent of its population. With the recent increase in\nCOVID-19 cases, the GoN on August 2, 2021 declared that the country is currently experiencing a third\nwave of transmission. Though the country has fared well since the confirmation of the first case of\nCOVID-19 in Ogun State on February 27, 2020, the outcome of the third wave cannot be predicted\nparticularly given the existence of the more virulent Delta variant of the SARS-CoV-2 which was first\ndetected in Nigeria on July 8, 2021. As of the 15 <sup>th</sup> of August 2021, a total of 182,503 cases have been\nconfirmed out of about 2.65 million tests conducted, with 167,132 cases discharged and 2,219 deaths\nacross all the 36 States and the Federal Capital Territory (FCT). Active cases stand at 2,531 with case\nfatality rate at 1.2%. Notwithstanding, a seroprevalence study of households in four states of Nigeria\nconducted between September and October 2020 by the Nigeria Centre for Disease Control (NCDC)\nand Nigeria Institute for Medical Research reveal that far more people may have been exposed to the\nvirus than was confirmed through testing. Survey findings revealed that the prevalence of SARS-CoV2 antibodies was 23% in Lagos and Enugu States, 19% in Nasarawa State, and 9% in Gombe State.\n\n**18.** **The parent project, Nigeria COVID-19 Emergency Preparedness and Response Project\n\nMention: \"seroprevalence study of households\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Four-state study indicating far more infections than confirmed cases.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002679:7:0", "occurrence_id": "cfe1ae6f7e756f966d1f90b3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nNigeria COVID-19 Preparedness and Response Project Additional Financing (P177076)\n\n\nforbearance is withdrawn. Nigeria is experiencing a rise in insecurity. A weak or uneven recovery could\nexacerbate social tensions, which would further dampen investor sentiment and could lead to political\ninstability and more conflict.\n\n\n**10.** **With population growth (estimated at 2.6 percent) outpacing economic growth in the context of**\n**weak job creation, per capita incomes are falling.** Today, an estimated 100 million Nigerians (50\npercent of the population) live on less than US$1.90 per day. <sup>2</sup> [^2: _Source:_ World Bank (PovCalNet).] With Nigeria having a high rate of\npoverty and being the most populous country in Africa, its poor comprise a significant share—16\npercent—of the global poor (World Bank, 2019). Unemployment is high (23 percent), with a further\n20 percent of the labor force being underemployed. Following the COVID-19 economic shock,\nunemployment and poverty are expected to increase. Limited employment opportunities pose\nserious economic and security challenges. As in other developing countries with high informality,\nNigeria’s official unemployment rate is a weak indicator of labor-market outcomes, as unemployed\nworkers receive little public support and face compelling incentives to remain employed, even in\nmarginal activities that generate low returns.\n\n\n**11.** **Before the COVID-19 shock, low revenues, rising debt service, and large public subsidies limited the**\n**fiscal space for productive investments in infrastructure and human capital.** At 8 percent of GDP in\n2018−2019, Nigeria’s general government revenues were very low by the standards of comparable\ncountries. Consequently, general government expenditures were very small relative to the size of the\neconomy (12 percent of GDP, about half the level expected for its level of development), and unable\nto meet the\n\nMention: \"PovCalNet\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Poverty calibration database behind the 100 million people on less than US$1.90 a day.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002680:14:1", "occurrence_id": "97a3e8361e5853fe1279120a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , but also prevents the development and seamless hosting of\ngovernment services and applications at scale. Digitalization of government services is nascent, with room\nfor improvement in the enabling policy and regulatory environment such as digital service standards and\ndata governance. Furthermore, addressing the need of cybersecurity and cyber resilience is urgent to\nprotect against increasing cyber threats. Sierra Leone was ranked 121 out of 130 countries in the\nInternational Telecommunication Union (ITU)’s Global Cybersecurity Index in 2020. <sup>10</sup> Enhancing cyber\nresilience is critical for both telecommunication infrastructure and networks as well as critical sectors such\nas energy and financial services.\n\n\n7. **Lack of affordability, availability, and quality of broadband connectivity, coupled with limited**\n**human and institutional capacity, constrains use of digital technologies and access to services in Sierra**\n**Leone** . Sierra Leoneans are paying 9.86 percent of their monthly income to purchase 1GB equivalent of\nmobile broadband data, significantly higher than the 2 percent global benchmark. <sup>11</sup> In a joint study by the\nWorld Bank and Groupe Spécial Mobile Association (GSMA), limited affordability of mobile broadband\nservices and handsets was one of the key barriers preventing the use of mobile broadband along with lack\nof digital skills, literacy, and locally relevant content. <sup>12</sup> The usage gaps are especially pronounced among\n\n\n7 Source: https://statehouse.gov.sl/sierra-leones-president-julius-maada-bio-launches-socio-economic-empowerment-forpersons-with-disabilities-calls-for-barrier-free-environment/\n8 ITU World Telecommunication/ICT Indicators Database. Available at: _https://www.itu.int/en/ITU-_\n_[D/Statistics/Dashboards/Pages/Digital\n\nMention: \"ITU World Telecommunication/ICT Indicators Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Indicator dashboard cited for the connectivity and usage-gap statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002678:3:0", "occurrence_id": "b0ee1c7525010e9bb8818053", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFederated States of Micronesia Strategic Climate-Oriented Road Enhancements (P177073)\n\n\nPohnpei, which hosts the Country’s capital Palikir, as individuals are particularly drawn to employment\nwith the National Government. Access to basic services is also generally higher in Pohnpei. Each State is\ndiverse in terms of language, cultural norms, environmental and land tenure laws.\n\n4. FSM is reported to have the highest estimated rates of poverty among the nine small remote islands\n(PIC9) covered in the Regional Partnership Framework (RPF) for FY17 to FY21 (extended by the Board of\nExecutive Directors on February 6, 2020 to FY23). <sup>5</sup> [^5: Household income and expenditure survey, 2013/14; World Bank Group, _Regional Partnership Framework for Nine Pacific Island_\n_Countries_, FY17-21, Report No. 120479, World Bank, 2016.] These findings are based on a household income and\nexpenditure survey conducted in 2013/14, which found about 41 percent of FSM’s population is\nstruggling to meet basic needs and 10 percent are living below the food poverty line. The survey also\ndocumented stark variation across FSM, with the basic needs poverty rate most severe in Chuuk (46\npercent), followed by Pohnpei and Yap (39 percent), and Kosrae (21 percent). Using the international\npoverty line of US$1.90 (2011 PPP [Purchasing Power Parity] US$ per person per day), the headcount\npoverty rate was estimated at 15.4 percent. According to the Multidimensional Poverty Measure, the\nrate of poverty was 20.4 percent. Contributing factors are that 28 percent of households have at least\none school aged child not enrolled in school and 23.6 percent of the population have no access to\nelectricity. According to the US$3.20 Lower Middle-Income Class Poverty Line, which reflects living\nstandards across all lower middle-income countries, the incidence of poverty is 38.7 percent. Inequality,\nas measured by the\n\nMention: \"household income and\nexpenditure survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2013/14 survey finding 41 percent struggling to meet basic needs and 10 percent below the food poverty line.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002680:14:0", "occurrence_id": "3a42a42f260e7873d8b74176", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSierra Leone Digital Transformation Project (P177077)\n\n\npoverty is highly concentrated. The Ministry of Social Welfare has been leading inclusive agenda in Sierra\nLeone. A few commitments and programs to support economic empowerment for PWDs have been\nlaunched by the Government as well as the support from development partners <sup>7</sup> [^7: Source: https://statehouse.gov.sl/sierra-leones-president-julius-maada-bio-launches-socio-economic-empowerment-forpersons-with-disabilities-calls-for-barrier-free-environment/] .\n\n\n**B. Sectoral and Institutional Context**\n\n\n6. **Sierra Leone lags behind in the development of its market for telecommunications and broadband**\n**and other digital services, which is preventing it from achieving wider digital dividends.** Only 18 percent\nof the population was using internet in 2020, compared with the Sub-Saharan Africa average rate of 30\npercent. <sup>8</sup> [^8: ITU World Telecommunication/ICT Indicators Database. Available at: _https://www.itu.int/en/ITU-_\n_[D/Statistics/Dashboards/Pages/Digital-Development.aspx](https://www.itu.int/en/ITU-D/Statistics/Dashboards/Pages/Digital-Development.aspx)_] Mobile broadband penetration remains low with the unique subscriptions estimated at 35 percent\nof the population in 2021 <sup>9</sup> [^9: World Bank analysis on the unique mobile-broadband subscriptions per 100 in 2021 based on the GSMA Mobile broadband\ncapable connections divided by SIMs per Unique Subscriber (GSMA) divided by UN Population data.] though slightly higher than the Sub-Saharan Africa average of 33 percent in the\nsame year. Access to digital public services is also extremely low. Sierra Leone was ranked 174 out of 193\ncountries in the United Nations (UN) E-Government Development Index 2020. The Government lacks core\ninfrastructure and shared systems—the key basis of the Government digital stack—necessary for enabling\nand scaling the delivery of secure and cost-effective digital public services. For example\n\nMention: \"UN Population data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Population denominators used to convert GSMA subscriptions into per-100 penetration.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002674:7:0", "occurrence_id": "edd9d03e3e50de749000ca60", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nProgestão Alagoas: Public Sector Efficiency and Modernization (P177070)\n\n\ntime-consuming paper-based analyses and can help reduce exposure to extreme weather events through improved land\nuse and urban planning.\n\n\n15. **Climate Change.** The State is a relatively small contributor to Brazil’s emissions, ranking in 25th position in 2019\nwith 3.7 percent of Brazil’s emissions mainly from agriculture and energy production. The State is highly vulnerable to\nextreme weather events – droughts, floods, and storms – which are expected to increase in intensity and frequency with\nclimate change. Extreme climate related weather events such as flooding and landslides have become more frequent,\nand financial damage to buildings and structures from such events reached R$8.4 billion between 1995 and 2019, with\none of the highest costs per event in Brazil. The coastal and humid zones are most vulnerable to floods leading to erosion\nand increased delivery of fluvial sediments, particularly on the northern coast where urban areas and tourist activities\nare concentrated. Alagoas has a significant semiarid zone, with poor soils susceptible to salinization. Projections suggest\nchanges in temperature and precipitation patterns will accelerate desertification and increase droughts in the region,\nimpacting the livelihoods of the poorest. The State reported a public financial loss of R$26.1million in 2019 due to disaster\nevents, caused by climatological and hydrometeorological events. Seventy-seven municipalities have reported losses due\nto drought, and fifteen are at very high risk due to flooding. Climate change is also expected to increase vulnerability to\ninfectious diseases Alagoas ranks highest among Brazilian states on the epidemiological vulnerability index (IVE of 0.64).\n\n\n16. **Gender.** There is limited information of gender gaps in Alagoas from State information systems. SEPLAG\nrecognizes that lack of gender-relevant data is a significant shortcoming that will need to be addressed as core\n\nMention: \"epidemiological vulnerability index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Index placing Alagoas highest among Brazilian states at 0.64 for epidemiological vulnerability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002708:20:0", "occurrence_id": "0eb4bb53fc1de82e79cd8193", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nChad Territorial Development and Resilience Project (P177163)\n\n\nPolicies, Institutions and Investments for Rebuilding Better) pillars <sup>36</sup> . Consistent with the WBG Fragility, Conflict,\nand Violence (FCV) Strategy, the project uses a flexible approach to enable it to respond to rapidly changing\ncircumstances and is adapted to address drivers of fragility and conflict in Chad, with a view to addressing conflict\nrisks. Further, it will engage in partnerships with a diverse range of stakeholders for effective delivery in the\ncountry’s fragile context. Its approach rests on robust analysis from the 2020 _Sahel Regional Risk and Resilience_\n_Assessment (RRA),_ <sup>37</sup> the 2021 _Chad RRA,_ <sup>_38_</sup> and the _Eligibility Note for Access to the PRA._ <sup>_39_</sup>\n\n19. **The project’s objectives are fully aligned with the Western and Central Africa Region Priorities (2021-2025),** <sup>**40**</sup>\n**the Chad Systematic Country Diagnostic (SCD, 2022)** <sup>**41**</sup> **and Chad Country Engagement Note (CEN, 2023-2024),** <sup>**42**</sup>\n**with a strong focus on resilient livelihoods, institutions building, and improving service delivery.** RESITCHAD\ndirectly contributes to (i) enhancing citizen-state relationships and strengthening the social contract; (ii) improving\ngovernance and transparency; (iii) increasing inclusive access to basic services and infrastructure, with effective\ninclusion of border, peripheral, and conflict-affected areas; and (iv) boosting climate resilience through\ninvestments in\n\nMention: \"2021 _Chad RRA\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Country risk and resilience assessment underpinning the project's approach in a fragile context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002708:20:0", "occurrence_id": "2cfc90e44be3f768512ace8f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nChad Territorial Development and Resilience Project (P177163)\n\n\nPolicies, Institutions and Investments for Rebuilding Better) pillars <sup>36</sup> . Consistent with the WBG Fragility, Conflict,\nand Violence (FCV) Strategy, the project uses a flexible approach to enable it to respond to rapidly changing\ncircumstances and is adapted to address drivers of fragility and conflict in Chad, with a view to addressing conflict\nrisks. Further, it will engage in partnerships with a diverse range of stakeholders for effective delivery in the\ncountry’s fragile context. Its approach rests on robust analysis from the 2020 _Sahel Regional Risk and Resilience_\n_Assessment (RRA),_ <sup>37</sup> the 2021 _Chad RRA,_ <sup>_38_</sup> and the _Eligibility Note for Access to the PRA._ <sup>_39_</sup>\n\n19. **The project’s objectives are fully aligned with the Western and Central Africa Region Priorities (2021-2025),** <sup>**40**</sup>\n**the Chad Systematic Country Diagnostic (SCD, 2022)** <sup>**41**</sup> **and Chad Country Engagement Note (CEN, 2023-2024),** <sup>**42**</sup>\n**with a strong focus on resilient livelihoods, institutions building, and improving service delivery.** RESITCHAD\ndirectly contributes to (i) enhancing citizen-state relationships and strengthening the social contract; (ii) improving\ngovernance and transparency; (iii) increasing inclusive access to basic services and infrastructure, with effective\ninclusion of border, peripheral, and conflict-affected areas; and (iv) boosting climate resilience through\ninvestments in\n\nMention: \"Chad Systematic Country Diagnostic\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Country diagnostic to which the project's objectives are declared aligned.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002735:12:0", "occurrence_id": "0d05d1b6134f8dfe5b754135", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSustainable and Integrated Labor Services (SAILS) (P177240)\n\n\n**B. Sectoral and Institutional Context**\n\n9. **Despite its track record of strong economic growth, Maldives has a persistently high rate of youth**\n**unemployment.** According to the Household Income and Expenditure Survey, the unemployment rate was 5.3 percent\nin 2019 (about 10,000 Maldivians), but half of this was made up by the young unemployed, with around 10 percent of\nthose aged 15-24 reporting being unemployed. Unemployment rates are higher among poorer Maldivians, and higher in\nthe atolls. It was estimated that in addition to the unemployed, a further 4,647 workers were ‘discouraged,’ defined as\nnot in employment, available and willing to work, but not actively looking for work. The COVID-19 pandemic is expected\nto have increased the number of Maldivians out of work and, notwithstanding the support provided through the ISA\nprogram, many will need assistance to re-enter the workforce.\n\n\n10. **Prior to the pandemic, employers in growth sectors, such as construction and tourism, struggled to fill jobs with**\n**local workers.** Access to higher-level and market-relevant skills remains limited in Maldives, especially for youth in the\natolls. In addition, survey evidence indicates that youth have unrealistically high wage expectations compared to older\ncohorts, making them more likely to turn down suitable job offers. <sup>3</sup> [^3: Wieser, C. (2017). _Bringing the Spotlight on Youth: Labor Market Snapshot in the Maldives._ Washington, DC: The World Bank.] As a result, employers have routinely hired migrant\nworkers for high-skill jobs in tourism (particularly in resorts), education and healthcare, and for low-skill jobs in\nconstruction. <sup>4</sup> The demand for skilled labor in the broader services sector has also been met by migrant workers, who\naccounted for one-third of\n\nMention: \"Household Income and Expenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 5.3 percent unemployment rate and its youth concentration.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002735:12:0", "occurrence_id": "35368cb6b31d0b182cbe87be", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSustainable and Integrated Labor Services (SAILS) (P177240)\n\n\n**B. Sectoral and Institutional Context**\n\n9. **Despite its track record of strong economic growth, Maldives has a persistently high rate of youth**\n**unemployment.** According to the Household Income and Expenditure Survey, the unemployment rate was 5.3 percent\nin 2019 (about 10,000 Maldivians), but half of this was made up by the young unemployed, with around 10 percent of\nthose aged 15-24 reporting being unemployed. Unemployment rates are higher among poorer Maldivians, and higher in\nthe atolls. It was estimated that in addition to the unemployed, a further 4,647 workers were ‘discouraged,’ defined as\nnot in employment, available and willing to work, but not actively looking for work. The COVID-19 pandemic is expected\nto have increased the number of Maldivians out of work and, notwithstanding the support provided through the ISA\nprogram, many will need assistance to re-enter the workforce.\n\n\n10. **Prior to the pandemic, employers in growth sectors, such as construction and tourism, struggled to fill jobs with**\n**local workers.** Access to higher-level and market-relevant skills remains limited in Maldives, especially for youth in the\natolls. In addition, survey evidence indicates that youth have unrealistically high wage expectations compared to older\ncohorts, making them more likely to turn down suitable job offers. <sup>3</sup> [^3: Wieser, C. (2017). _Bringing the Spotlight on Youth: Labor Market Snapshot in the Maldives._ Washington, DC: The World Bank.] As a result, employers have routinely hired migrant\nworkers for high-skill jobs in tourism (particularly in resorts), education and healthcare, and for low-skill jobs in\nconstruction. <sup>4</sup> The demand for skilled labor in the broader services sector has also been met by migrant workers, who\naccounted for one-third of\n\nMention: \"survey evidence\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Evidence that youth hold wage expectations above market levels, leading them to refuse offers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002767:39:2", "occurrence_id": "0ea5cdfe3ba4591d21b5ba4b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  for flood reduction<br>implemented each year, allowing to define areas excluding flooding with people protected in relation to their<br>initial situation.|\n|Responsibility for<br>Data Collection|MTP/CNTIPPE, PIU|\n|**People with reduced flood risk though investment under the project - Female (Number)**|**People with reduced flood risk though investment under the project - Female (Number)**|\n|Description|Measures the total number of people that are protected from or have reduced flood risk through project<br>investments|\n|Frequency|Annual|\n|Data source|MIS, annual progress report|\n|Methodology for Data<br>Collection|See above (aim 50 percent of indicator ‘People with reduced flood risk though investment under the project<br>(Number of people)’|\n|Responsibility for<br>Data Collection|MTP/CNTIPPE, PIU|\n\n\n\nPage 29\n\nMention: \"MIS, annual progress report\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Monitoring information system and progress reports named as the source for flood-protection counts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002761:2:0", "occurrence_id": "0b84195d084cf687bbd0b57f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRMI Multisectoral ECD - II (P177329)\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n1. **The Republic of the Marshall Islands (RMI) is one of the world’s smallest, most isolated, and vulnerable nations.**\nThe country consists of 29 atolls and five isolated islands (24 of which are inhabited) and has a total land mass of just 181\nkm² set in an area of over 1.9 million km² in the Pacific Ocean. The population of the RMI was estimated at 53,066 <sup>1</sup> [^1: RMI Government Statistics Office projections based on the 2011 RMI Census] in\n2016, of which the two largest urban centers, Majuro (the nation’s capital) and Ebeye, have populations of 28,000 and\n9,614, respectively, with the remainder of the population inhabiting rural neighboring islands.\n\n\n2. **The RMI faces many of the development challenges common to small, remote economies with dispersed**\n**populations.** Small size and remoteness make it impossible to achieve economies of scale, increasing the costs of trade\nand constraining competitiveness of exports of goods and services in world markets. These factors similarly raise the cost\nand complexity of providing public services. The RMI’s unique geographical characteristics—including populations\ncentered on small, low-lying atolls—make the country extremely vulnerable to the climate change impacts of natural\ndisasters and rising sea levels.\n\n\n3. **Average economic growth has been low by global standards and subject to high volatility and poverty remains**\n**a challenge.** Over the past 15 years, real Gross Domestic Product (GDP) has grown by a modest 1.5 percent on average.\nAs a small, remote economy with dispersed population, RMI faces significant challenges to sustainable economic growth. <sup>2</sup>\nThe poverty\n\nMention: \"2011 RMI Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census base for the 2016 population projection and the urban-rural distribution.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002761:4:1", "occurrence_id": "229f87ef4fe004c9a1cc5e42", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the country with the support of the World**\n**Bank, UNICEF, and other partners.** The President established a Cabinet Committee on Early Childhood Development\n(ECD), consisting of the President and the Ministers of Health and Human Services (MOHHS), Education, Sports and\nTraining (MOEST), and Minister of Culture and Internal Affairs (MOCIA) to guide the direction of the ECD policy and\nprogramming in the RMI. The Chief Secretary is facilitating the development of a multisectoral ECD Policy Framework to:\n(a) outline key interventions and indicators anchored within these three sectors; and (b) improve the policy, regulatory,\nand enabling environment for early childhood. Together, these actions form the foundation of the RMI’s approach to\noperationalize an evidence-based, multisectoral, integrated approach to tackling early childhood health and nutrition\nissues (Figure 2).\n\n\n6 UNICEF. 2017. Republic of the Marshall Islands Integrated Child Health and Nutrition Survey: 2017. The ICHNS defines developmentally on track\nfor the following four domains as follows: (1) _Literacy-numeracy_ : Developmentally on track if at least two of the following are true: Can\nidentify/name at least ten letters of the alphabet, Can read at least four simple, popular words, Knows the name and recognizes the symbol of all\nnumbers from 1 to 10. (2) _Physical_ : Developmentally on track if one or both of the following is true: Can pick up a small object with two fingers, like a\nstick or a rock from the ground, Is not sometimes too sick to play. (3) _Social-emotional_ : Developmentally on track if at least two of the following are\ntrue: Gets along well with other children, Does not kick, bite, or hit other children, Does not get distracted easily. (4) _Learning_ : Developmentally on\ntrack if one\n\nMention: \"Integrated Child Health and Nutrition Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey defining the developmentally-on-track domains used in the ECD analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002814:11:2", "occurrence_id": "71c496b0e26ca26eecc65d8a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (around 41 percent of total\nmerchandise imports). Remittances, which are significant for the country’s economy (18 percent in 2020), are\ncritical to reduce the impact of exogeneous shocks. The Comoros have a high unemployment rate of 8.4 percent\n(2020), up from 6.6 percent in the early 2010s. Youth unemployment is particularly high at 18.3 percent. <sup>3</sup> Onefourth of the Comoros’ population lives just below the national poverty line, and 10 percent of the population\nrisks falling below the national poverty line in the event of unexpected economic shocks. <sup>4</sup> Regional and income\n\n\n1 Government of Comoros (2017). Recensement General de la Population et de l'Habitat. (Décret N° DÉCRET N° 14 -144/PR).\n2 World Bank (2020). Data. GDP per capita (current US$) – Comoros.\nhttps://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=KM.\n3 International Labour Organization Statistics (ILO, 2020). https://ilostat.ilo.org/\n4 World Bank (2021). Country Overview Comoros. https://www.worldbank.org/en/country/comoros/overview#1\n\n\nPage 7 of 57\n\nMention: \"Recensement General de la Population et de l'Habitat\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National population and housing census behind the poverty and demographic figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002814:11:2", "occurrence_id": "6a8d24c380edf021f0d8ccae", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (around 41 percent of total\nmerchandise imports). Remittances, which are significant for the country’s economy (18 percent in 2020), are\ncritical to reduce the impact of exogeneous shocks. The Comoros have a high unemployment rate of 8.4 percent\n(2020), up from 6.6 percent in the early 2010s. Youth unemployment is particularly high at 18.3 percent. <sup>3</sup> Onefourth of the Comoros’ population lives just below the national poverty line, and 10 percent of the population\nrisks falling below the national poverty line in the event of unexpected economic shocks. <sup>4</sup> Regional and income\n\n\n1 Government of Comoros (2017). Recensement General de la Population et de l'Habitat. (Décret N° DÉCRET N° 14 -144/PR).\n2 World Bank (2020). Data. GDP per capita (current US$) – Comoros.\nhttps://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=KM.\n3 International Labour Organization Statistics (ILO, 2020). https://ilostat.ilo.org/\n4 World Bank (2021). Country Overview Comoros. https://www.worldbank.org/en/country/comoros/overview#1\n\n\nPage 7 of 57\n\nMention: \"International Labour Organization Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Labour statistics cited for the employment indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002744:22:0", "occurrence_id": "47426d2aa946d97d83871bb5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSomalia Enhancing Public Resource Management Project (P177298)\n\n\nacross FGS and FMS.\n\n**(c)** **Pay and Grading.** The subcomponent will also support the implementation of P&G systems\n\nalready being established in the FGS and PSS through the Somalia CIP, while ensuring that P&G\nreforms are fiscally sustainable across all jurisdictions. The new P&G system in the FGS and PSS\nis expected to correct cases of misclassified staff, i.e., staff assigned grades that are inconsistent\nwith the responsibilities of their job. Support will also include the design of similar P&G\nmethodology for the FGS and FMS. The project will support the governments in conducting P&Grelated awareness-raising and communication activities, completing a comparative salary survey\nfor each FMS with the public/private sector, and developing a P&G policy to guide future reviews.\nThis will help ensure that each civil service grows in a fiscally sustainable way while giving civil\nservants a clear career path with the promise of career and income growth.\n\n**(d)** **Pension.** This subcomponent will support the development and operationalization of government\n\npension systems.\n\n\n**(i)** **The development of a policy and legal framework for pensions in GSS, HSS, JSS, and**\n**SWSS.** This will include: (a) an initial actuarial analysis to inform the Pension Policy, and (b) TA\nto develop the Pension Policy and associated legislation. The subcomponent will also support\nthe development of governance and administrative framework options, including the design\nand budget requirements for pensions in these FMS.\n\n**(ii)** **The FGS and PSS will be supported in the operationalization of the FGS and PSS pension**\n**systems.** Their operationalization is\n\nMention: \"comparative salary survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Public-private salary comparison to be conducted per member state to inform pay and grading.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002761:3:0", "occurrence_id": "19cb159a14f437e9fa7cfb30", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRMI Multisectoral ECD - II (P177329)\n\n\nthe adult population. <sup>5</sup> [^5: The RMI is currently awaiting the US Food and Drug Administration emergency use authorization for Moderna administration for children over\nage 12 and will begin targeting this population once issued.] Vaccination completeness ranges from 78 percent of adults on Majuro to 88 percent in Kwajalein\natoll; the country is now grappling with the logistical challenges of vaccine deployment to the OI, where only 18 percent\nof adults are fully vaccinated. The US is also providing technical and financial assistance for COVID-19 response and\nvaccine rollout through several federal agencies, while the World Bank, Asian Development Bank (ADB), United Nations\nChildren’s Fund (UNICEF), and the World Health Organization (WHO) are also providing technical and in-kind support to\noverall COVID-19 response efforts.\n\n\nSectoral and Institutional Context\n6. **The RMI has prioritized investments in human capital to enhance the quality of the labor market, reduce**\n**poverty and improve competitiveness, contributing to more adaptive, resilient population** . According to the Human\nCapital Index (HCI), a child born in RMI today will be 42 percent as productive when she grows up as she could be if she\nenjoyed complete education and full health (Figure 1). Overall HCI performance is lower than the average for East Asia &\nPacific region and upper middle-income countries. RMI is in the lowest quartile of countries on its HCI score, as well as\nall constituent measures (with the exception of survival to age five). Child stunting rates are high at 35 percent. Increasing\nthe efficiency and quality of education and health service delivery will be essential, as education and health services are\ncrucial public-sector enablers to build human capital and increase the quality of the domestic labor pool.\n\n\n_Figure 1. Republic of the Marshal Islands Human Capital Index and Components_\n\n\n_World Bank. 2020. Marshall Islands Human Capital Index 2020. World Bank: Washington, DC_\n\nMention: \"Marshall Islands Human Capital Index 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Index and components plotted for the RMI in the human capital figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002800:10:0", "occurrence_id": "7ab86674f746a6756ed3d3af", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nChile Green Hydrogen Facility to Support a Green, Resilient, and Inclusive Economic Development (P177533)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Country Context**\n\n1. **Fueled by a strong fiscal response to the economic impacts of COVID-19 and emergency response measures**\n**taken in 2020, Chile’s economy rebounded in 2021; but a sharp deceleration in 2022 is expected to continue into 2023.**\nChile’s economic growth in 2021—among the fastest in the world—was propelled by consumption, large fiscal transfers,\nand pension fund withdrawals. A remarkably rapid vaccine rollout, which reached over 90 percent of adults, firms’\nimplementation of sanitary operational measures, and an expansionary monetary policy also contributed to the recovery.\nHowever, after registering 11.7 percent year-on-year (y/y) growth in 2021, the economy grew only 6.4 percent y/y in the\nfirst half of 2022—and only 0.3 percent y/y when compared with just the second half of 2021. Gross domestic product\n(GDP) grew by 2.1 percent in 2022 <sup>1</sup> [^1: Preliminary estimate from World Bank Global Economic Prospects, January 2023.] and is expected to contract by 0.9 percent in 2023, while a gradual acceleration is\nexpected from 2025 onward. At the same time, the country faces significant challenges to increasing total factor\nproductivity and economic diversification, which are needed for long-term, sustainable growth.\n\n2. **Chile is facing significant challenges to its social contract and economic model.** Social unrest in 2019–20 exposed\nthe vulnerability of the socioeconomic system, with protesters demanding several changes to the country’s direction,\nprompting a constitutional reform process. The first proposal on a draft constitution was rejected by voters in a\nreferendum on September 4, 2022. Subsequently, Congress approved the “ _Acuer\n\nMention: \"World Bank Global Economic Prospects\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Preliminary 2022 GDP estimate and the projection for 2023 from this January 2023 edition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002767:42:0", "occurrence_id": "7fad539000276c89fd46b0e8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGabon Urban Development Project (P177372)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Methodology for Data<br>Collection|MIS, annual progress report,|Col3|\n|---|---|---|\n|Responsibility for Data<br>Collection|MTP/CNTIPPE, PIU|MTP/CNTIPPE, PIU|\n|**Community satisfactory survey - Respondents reporting satisfaction with project delivered infrastructure and services (Percentage)**|**Community satisfactory survey - Respondents reporting satisfaction with project delivered infrastructure and services (Percentage)**|**Community satisfactory survey - Respondents reporting satisfaction with project delivered infrastructure and services (Percentage)**|\n|Description|Measures the total number of people that report satisfaction with infrastructures or services delivered by the<br>project|Measures the total number of people that report satisfaction with infrastructures or services delivered by the<br>project|\n|Frequency|After Mid-Term Revie - Annual|After Mid-Term Revie - Annual|\n|Data source|MIS, annual progress report|MIS, annual progress report|\n|Methodology for Data<br>Collection|MIS, annual progress report,|MIS, annual progress report,|\n|Responsibility for Data<br>Collection|MTP/CNTIPPE, PIU|MTP/CNTIPPE, PIU|\n|**Women in leadership roles in community development and urban management (percentage)**|**Women in leadership roles in community development and urban management (percentage)**|**Women in leadership roles in community development and urban management (percentage)**|\n|Description|Measures the percentage of women that actively participate in decision-making on infrastructure selection and<br>prioritization for community infrastructure development through leading roles in community development<br>commitees and\n\nMention: \"Community satisfactory survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Community survey measuring reported satisfaction with project-delivered infrastructure and services.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002744:5:2", "occurrence_id": "8614a790dc3924a8617f7215", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /www.worldbank.org/en/news/press-release/2020/03/25/somalia-to-receive-debt-relef-under-the-enhanced-hipc-](https://www.worldbank.org/en/news/press-release/2020/03/25/somalia-to-receive-debt-relef-under-the-enhanced-hipc-initiative)</u>\n<u>[initiative](https://www.worldbank.org/en/news/press-release/2020/03/25/somalia-to-receive-debt-relef-under-the-enhanced-hipc-initiative)</u>\n\n\n6 Net Official Development Assistance (ODA) stood at 3.04 billion in 2020 according to OECD data.\n\n\nFeb 09, 2022 Page 6 of 31\n\nMention: \"OECD data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the US$3.04 billion net official development assistance figure for 2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002817:3:2", "occurrence_id": "864e304632d30484bd4af889", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (current USD) in 2023 of about US$1,300, the Comoros\nis among the world’s poorest and least developed nations. <sup>1</sup> The agriculture sector employs about 60 percent of the\ntotal population, generating about 30 percent of GDP, and earning about 80 percent of the country’s foreign\nexchange (vanilla, ylang ylang, and cloves). <sup>2</sup> Gender-based inequalities are also evident in women’s employment\nopportunities, including within the energy sector. The country suffers from chronic budget and trade deficit, and a\nlack of infrastructure investments that further hinders development.\n\n\n4. **The Comoros is highly vulnerable to climate change impacts and natural hazards such as cyclones, coastal**\n**flooding, heavy rainfall, landslides, extreme heat, volcanic eruptions, and earthquakes.** <sup>3</sup> Climate projections\n\n\n1 <u>[https://data.worldbank.org/indicator/NY.GDP.PCAP.CD](https://data.worldbank.org/indicator/NY.GDP.PCAP.CD)</u>\n2 Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.\n3 Think Hazard. Consulted on March 22, 2023.\n\n\nPage 3\n\nMention: \"Food and Agricultural Organization Corporate Statistical Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Agricultural statistics cited with WDI for the sector profile.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002817:3:2", "occurrence_id": "a019151b6de2bebf6dfdd0aa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (current USD) in 2023 of about US$1,300, the Comoros\nis among the world’s poorest and least developed nations. <sup>1</sup> The agriculture sector employs about 60 percent of the\ntotal population, generating about 30 percent of GDP, and earning about 80 percent of the country’s foreign\nexchange (vanilla, ylang ylang, and cloves). <sup>2</sup> Gender-based inequalities are also evident in women’s employment\nopportunities, including within the energy sector. The country suffers from chronic budget and trade deficit, and a\nlack of infrastructure investments that further hinders development.\n\n\n4. **The Comoros is highly vulnerable to climate change impacts and natural hazards such as cyclones, coastal**\n**flooding, heavy rainfall, landslides, extreme heat, volcanic eruptions, and earthquakes.** <sup>3</sup> Climate projections\n\n\n1 <u>[https://data.worldbank.org/indicator/NY.GDP.PCAP.CD](https://data.worldbank.org/indicator/NY.GDP.PCAP.CD)</u>\n2 Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.\n3 Think Hazard. Consulted on March 22, 2023.\n\n\nPage 3\n\nMention: \"World Development Indicators data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Comparative development indicators cited alongside FAOSTAT for 2019.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:67:0", "occurrence_id": "757bd8ed8f777ae14f8f8a1e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Financial and Private Sector Development Project (P177722)\n\n\n_Source_ : Tajikistan Agency on statistics, Asian Development Bank, World Bank Enterprise Survey (2019), staff estimation.\n_Notes_ : * The number of small and medium firms is based on the statistical yearbook. This does not include the state firms. Small firms are defined\nas less than 30 employees, while medium are defined as 31-200 employees. Micro firms are sourced from the ADB report **. The number of startups is calculated based on the number of new enterprises per 1000 population. It is multiplied by 5 to account for the project timeline ***. The\nshare of firms with access to finance is determined by the Enterprise survey. ****Estimate. *****Based on several sources of data. The total\noutstanding balance is sourced from the banking statistics bulletin, the share of loans for individuals and firms is from ADB. Given that this data\nonly includes data for individual enterprises and MSMEs are a whole can’t differentiate between small and medium enterprises\n\n\nPage 63 of 64\n\nMention: \"World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Named in the figure source for firm-level structure and financing access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:67:0", "occurrence_id": "fa11f0c871f125a93f42b29e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Financial and Private Sector Development Project (P177722)\n\n\n_Source_ : Tajikistan Agency on statistics, Asian Development Bank, World Bank Enterprise Survey (2019), staff estimation.\n_Notes_ : * The number of small and medium firms is based on the statistical yearbook. This does not include the state firms. Small firms are defined\nas less than 30 employees, while medium are defined as 31-200 employees. Micro firms are sourced from the ADB report **. The number of startups is calculated based on the number of new enterprises per 1000 population. It is multiplied by 5 to account for the project timeline ***. The\nshare of firms with access to finance is determined by the Enterprise survey. ****Estimate. *****Based on several sources of data. The total\noutstanding balance is sourced from the banking statistics bulletin, the share of loans for individuals and firms is from ADB. Given that this data\nonly includes data for individual enterprises and MSMEs are a whole can’t differentiate between small and medium enterprises\n\n\nPage 63 of 64\n\nMention: \"statistical yearbook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Yearbook supplying the counts of small and medium firms, excluding state firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:67:0", "occurrence_id": "612137e3bf24f63cd4fad890", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Financial and Private Sector Development Project (P177722)\n\n\n_Source_ : Tajikistan Agency on statistics, Asian Development Bank, World Bank Enterprise Survey (2019), staff estimation.\n_Notes_ : * The number of small and medium firms is based on the statistical yearbook. This does not include the state firms. Small firms are defined\nas less than 30 employees, while medium are defined as 31-200 employees. Micro firms are sourced from the ADB report **. The number of startups is calculated based on the number of new enterprises per 1000 population. It is multiplied by 5 to account for the project timeline ***. The\nshare of firms with access to finance is determined by the Enterprise survey. ****Estimate. *****Based on several sources of data. The total\noutstanding balance is sourced from the banking statistics bulletin, the share of loans for individuals and firms is from ADB. Given that this data\nonly includes data for individual enterprises and MSMEs are a whole can’t differentiate between small and medium enterprises\n\n\nPage 63 of 64\n\nMention: \"ADB report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the micro-enterprise counts in the firm-size breakdown.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:67:0", "occurrence_id": "7a7a198d9f0e4a0ca86af427", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Financial and Private Sector Development Project (P177722)\n\n\n_Source_ : Tajikistan Agency on statistics, Asian Development Bank, World Bank Enterprise Survey (2019), staff estimation.\n_Notes_ : * The number of small and medium firms is based on the statistical yearbook. This does not include the state firms. Small firms are defined\nas less than 30 employees, while medium are defined as 31-200 employees. Micro firms are sourced from the ADB report **. The number of startups is calculated based on the number of new enterprises per 1000 population. It is multiplied by 5 to account for the project timeline ***. The\nshare of firms with access to finance is determined by the Enterprise survey. ****Estimate. *****Based on several sources of data. The total\noutstanding balance is sourced from the banking statistics bulletin, the share of loans for individuals and firms is from ADB. Given that this data\nonly includes data for individual enterprises and MSMEs are a whole can’t differentiate between small and medium enterprises\n\n\nPage 63 of 64\n\nMention: \"Enterprise survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Determines the share of firms with access to finance in the figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:67:0", "occurrence_id": "298ef282fd1b2a28b7b8b6f7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Financial and Private Sector Development Project (P177722)\n\n\n_Source_ : Tajikistan Agency on statistics, Asian Development Bank, World Bank Enterprise Survey (2019), staff estimation.\n_Notes_ : * The number of small and medium firms is based on the statistical yearbook. This does not include the state firms. Small firms are defined\nas less than 30 employees, while medium are defined as 31-200 employees. Micro firms are sourced from the ADB report **. The number of startups is calculated based on the number of new enterprises per 1000 population. It is multiplied by 5 to account for the project timeline ***. The\nshare of firms with access to finance is determined by the Enterprise survey. ****Estimate. *****Based on several sources of data. The total\noutstanding balance is sourced from the banking statistics bulletin, the share of loans for individuals and firms is from ADB. Given that this data\nonly includes data for individual enterprises and MSMEs are a whole can’t differentiate between small and medium enterprises\n\n\nPage 63 of 64\n\nMention: \"banking statistics bulletin\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Bulletin supplying total outstanding credit balances in the estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002875:3:1", "occurrence_id": "deef50b62377e7e25fd41620", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  per capita food\nproduction.\n\n6. In this context, high returns are expected on investments in climate adaptation. Across SSA, spending of US$15 billion\non agricultural and food system adaptation could save an estimated US$201 billion annually. <sup>1</sup> [^1: https://gca.org/wp-content/uploads/2021/10/GCA_STA21_Sect2_AGRICULTURE-AND-FOOD.pdf] Meanwhile, the latest\nprojections indicate that the world is not on track to meet the Paris Climate Agreement target of limiting warming to 1.5\ndegrees over preindustrial temperatures. A 3-degree trajectory could catastrophically disrupt African food systems within\nthe next 30 years, greatly narrowing the potential for adaptation.\n\n7. Violent conflict has surged since 2010, food and water insecurity being both a consequence and a cause of conflict.\nAFE harbors some of Africa’s most protracted conflicts and these have left several countries in a fragile state. Increased\ninternal competition for land and water, particularly between pastoralists and crop producers, is a significant source of\nconflict. In turn, physical insecurity dissuades investment and disrupts the distribution systems that move food from\nsurplus to deficit areas, while open conflict destroys infrastructure and other capital stocks essential for income growth.\nAs violence intensifies, accompanying uncertainties cause food production shifts from commercial orientation toward\nmore of a subsistence one, due to restrictions in accessing farmland and markets, while hindering regional integration and\ntrade.\n\n8. Across the region, women and girls have generally grown more vulnerable and food insecure over the past years.\nGlobally, food insecurity affects more women than men, and this gender difference has been exacerbated by recent\nshocks. Across the region, female farmers lacked access to productive assets, input and output markets, and information\neven before the pandemic began. And in a rapid gender assessment carried out after the pandemic started in 2020 <sup>2</sup>, more\nthan two-thirds of women in Malawi indicated facing a decrease in food availability, an increase in food prices, and a\ndecrease\n\nMention: \"rapid gender assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Post-pandemic assessment showing most women faced reduced food availability and higher prices.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002905:3:0", "occurrence_id": "1fdcd613135faac9cd12f5bb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEthiopia Education and Skill for Employability Project (P177881)\n\n\npeople were in need of food assistance as a result of droughts from five consecutive failed rainy seasons. <sup>4</sup> [^4: World Food Programme. Ethiopia Annual Country Report 2022.] In the\nsame year, floods displaced more than half a million Ethiopians and destroyed over 110 schools. <sup>5</sup> [^5: Ethiopia Country Climate Development Report, 2023, draft World Bank] The climate\ncrisis is expected to reduce Ethiopia’s GDP by 10 percent by 2045. <sup>6</sup> [^6: https://climateknowledgeportal.worldbank.org/sites/default/files/2020-06/15463-WB_Ethiopia%20Country%20Profile-WEB_v2.pdf] It is important to build resilience to frequent\nclimate shocks through diversifying job sources and skills for adaptation and climate change mitigation.\n\n4. **The COVID-19 crisis has highlighted the extent of the country’s vulnerability, particularly among poor**\n**and urban populations** . Employment rates plunged in the early days of the pandemic, particularly in urban areas\nwhere the rate dropped from 80 percent pre-COVID-19 to 65 percent, with changes noted more prominently in\nfemale-headed households. Estimates suggest that the rate of poverty has increased by 33.2 percent in urban\nareas since 2018/19, compared to an increase of 9.4 percent in rural areas over the same period. <sup>7</sup> [^7: Wieser et al. 2021 and Ambel et al. 2021 and World Bank estimates based on the High-Frequency Phone survey (HFPS) of households\n8Phone Survey Data: Monitoring COVID-19 Impact on Firms and Households in Ethiopia. World Bank, 2020.] Phone survey\ndata suggest that firm revenues were significantly depressed, and at the household level, nearly a quarter of\nsurveyed households reported their income either declined or completely disappeared. <sup>8</sup>\n\nMention: \"High-Frequency Phone survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Household phone survey behind the Bank's urban and rural price-impact estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002905:3:0", "occurrence_id": "403dd161ac5aacabbb63d06d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEthiopia Education and Skill for Employability Project (P177881)\n\n\npeople were in need of food assistance as a result of droughts from five consecutive failed rainy seasons. <sup>4</sup> [^4: World Food Programme. Ethiopia Annual Country Report 2022.] In the\nsame year, floods displaced more than half a million Ethiopians and destroyed over 110 schools. <sup>5</sup> [^5: Ethiopia Country Climate Development Report, 2023, draft World Bank] The climate\ncrisis is expected to reduce Ethiopia’s GDP by 10 percent by 2045. <sup>6</sup> [^6: https://climateknowledgeportal.worldbank.org/sites/default/files/2020-06/15463-WB_Ethiopia%20Country%20Profile-WEB_v2.pdf] It is important to build resilience to frequent\nclimate shocks through diversifying job sources and skills for adaptation and climate change mitigation.\n\n4. **The COVID-19 crisis has highlighted the extent of the country’s vulnerability, particularly among poor**\n**and urban populations** . Employment rates plunged in the early days of the pandemic, particularly in urban areas\nwhere the rate dropped from 80 percent pre-COVID-19 to 65 percent, with changes noted more prominently in\nfemale-headed households. Estimates suggest that the rate of poverty has increased by 33.2 percent in urban\nareas since 2018/19, compared to an increase of 9.4 percent in rural areas over the same period. <sup>7</sup> [^7: Wieser et al. 2021 and Ambel et al. 2021 and World Bank estimates based on the High-Frequency Phone survey (HFPS) of households\n8Phone Survey Data: Monitoring COVID-19 Impact on Firms and Households in Ethiopia. World Bank, 2020.] Phone survey\ndata suggest that firm revenues were significantly depressed, and at the household level, nearly a quarter of\nsurveyed households reported their income either declined or completely disappeared. <sup>8</sup>\n\nMention: \"Phone survey\ndata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows depressed firm revenues and that nearly a quarter of households lost or saw income fall.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:12:0", "occurrence_id": "83de93e6674209924ca04547", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Financial and Private Sector Development Project (P177722)\n\n\n5. **Private sector-led diversification in the export market (focusing on regional integration, high-value addition,**\n**and knowledge spillovers) can increase growth and economic resilience.** Out of Tajikistan’s entire US$1,174 million\nexport portfolio in 2019, 65 percent were commodities, including minerals (24 percent), stone (17 percent), metals (14\npercent), and cotton (11 percent). Raw extractive sectors typically do not create well-paid jobs and are at the lower end\nof global value chains. While 70 percent of the workforce is in agriculture, the sector accounts for only 22 percent of GDP\n(due to low productivity). It pays three times lower wages than the non-agriculture sector. SOEs dominate the economic\nspace and drain resources from the state budget. The preferential market position of SOEs prevents the efficient allocation\nof resources and inhibits further private-sector development. In 2018, Tajikistan’s new business registration stood at 0.2\nper 1000 people aged 14 to 65 compared with 2 for Kazakhstan and 1.9 for Moldova. Annex 2 provides more detail on\nTajikistan’s private sector.\n\n\n6. **Weak financial intermediation remains a key obstacle to efficient capital reallocation, private sector-led**\n**growth, and productive SME development.** Deposits as a share of GDP were at 9.37 percent in 2020, <sup>1</sup> [^1: Global Financial Development Database, 2020.] much lower than\nin comparator countries such as the Kyrgyz Republic (26.9 percent) and Moldova (37.7 percent). Such a low deposit\nmobilization constrains financial intermediation. Credit to the private sector stood at 13 percent of GDP in Tajikistan by\nthe end of 2020, significantly lower than the average of 42 percent for lower-middle-income countries and 57 percent\n\nMention: \"Global Financial Development Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 9.37 percent deposits-to-GDP ratio compared with comparator countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002905:3:1", "occurrence_id": "5b6fac58741ebebac3a4e110", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  particularly pernicious effect on\nself-employed and low-skilled workers, and has negatively affected the sectoral reallocation of labor during the\nrecovery phase.\n\n5. **Ethiopia’s Ten-Year Development Plan (2021- 2030), based on its 2019 Home-Grown Economic Reform**\n**Agenda, aims to accelerate growth by enhancing productivity and competitiveness and diversifying the**\n**economy.** The Plan articulates priority sectors to drive growth of the economy including agriculture,\nmanufacturing, mining, tourism, and information and communication technology (ICT). <sup>9</sup> [^9: Federal Democratic Republic of Ethiopia, 2021] Ensuring that the labor\nmarket possesses the skills required to meet the needs of these priority sectors is foundational to achieving the\ngrowth aspirations of the country and will require significant investments. The government is also soon expected\nto launch a revised Homegrown Economic Reform Program (“2.0”), which is expected to set out an agenda to\nreduce macroeconomic imbalances, remove exchange rate and other market distortions, and advance muchneeded structural reforms to increase Ethiopia’s long term economic growth potential. A strong focus on\nprotecting the poorest from potential adjustment costs is critical to ensure that reforms are effective and\nsustainable. <sup>10</sup> [^10: World Bank. Macro Poverty Outlook for Ethiopia: April 2023 (English). Macro Poverty Outlook (MPO) Washington, D.C.: World Bank Group.] These economic prospects will, in turn, offset some of the existing vulnerabilities, building stronger\nfoundations for peace, stability and security.\n\n6. **Despite the recent headwinds impeding progress, Ethiopia, the second most populous country in Sub-**\n**Saharan Africa, is well placed to reap a high demographic dividend and build resilience with investments in its**\n**human capital.** More than 30 percent of the population is between <mark>the ages of 7 and 19;</mark> and <mark\n\nMention: \"Macro Poverty Outlook for Ethiopia\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"April 2023 outlook underpinning the growth and reform-impact projections.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002905:3:1", "occurrence_id": "03096fa6d0684fe7fc77c36c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  particularly pernicious effect on\nself-employed and low-skilled workers, and has negatively affected the sectoral reallocation of labor during the\nrecovery phase.\n\n5. **Ethiopia’s Ten-Year Development Plan (2021- 2030), based on its 2019 Home-Grown Economic Reform**\n**Agenda, aims to accelerate growth by enhancing productivity and competitiveness and diversifying the**\n**economy.** The Plan articulates priority sectors to drive growth of the economy including agriculture,\nmanufacturing, mining, tourism, and information and communication technology (ICT). <sup>9</sup> [^9: Federal Democratic Republic of Ethiopia, 2021] Ensuring that the labor\nmarket possesses the skills required to meet the needs of these priority sectors is foundational to achieving the\ngrowth aspirations of the country and will require significant investments. The government is also soon expected\nto launch a revised Homegrown Economic Reform Program (“2.0”), which is expected to set out an agenda to\nreduce macroeconomic imbalances, remove exchange rate and other market distortions, and advance muchneeded structural reforms to increase Ethiopia’s long term economic growth potential. A strong focus on\nprotecting the poorest from potential adjustment costs is critical to ensure that reforms are effective and\nsustainable. <sup>10</sup> [^10: World Bank. Macro Poverty Outlook for Ethiopia: April 2023 (English). Macro Poverty Outlook (MPO) Washington, D.C.: World Bank Group.] These economic prospects will, in turn, offset some of the existing vulnerabilities, building stronger\nfoundations for peace, stability and security.\n\n6. **Despite the recent headwinds impeding progress, Ethiopia, the second most populous country in Sub-**\n**Saharan Africa, is well placed to reap a high demographic dividend and build resilience with investments in its**\n**human capital.** More than 30 percent of the population is between <mark>the ages of 7 and 19;</mark> and <mark\n\nMention: \"Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The MPO series cited for the macro-poverty projections in this section.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:24:0", "occurrence_id": "4e5f4174d5829c42955c8bf2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Financial and Private Sector Development Project (P177722)\n\n\nand the local context. A PRSF development center will be established at the project’s onset as the basis for\ndeveloping a new national guarantee fund. Once operational, all other GFs will report to this guarantee fund.\nFurther details can be found in Annex 3.\n\n    - **SEDP.** The Export Agency was identified based on a mapping of agencies supporting MSME development and\nwill take responsibility for SEDP implementation. A consulting company with recognized international\nexperience in managing and implementing SEDP will be engaged to support the Agency.\n\n**Figure 4: Implementation arrangements**\n\n\n**B. Results Monitoring and Evaluation Arrangements**\n\n\n37. **The MOF PIU will oversee data collection and report on M&E indicators.** The PIU has M&E capacity, as\ndemonstrated by its World Bank-financed projects portfolio. The MOF will collect data for Component 1 in collaboration\nwith the IDIF/NBT. For Component 2, the GFs will provide the PIU with data related to the PRSF. Likewise, the SEDO will\ncollect and share this data with the PIU for Component 3. The PIU will perform data quality checks to confirm data\naccuracy. In addition, the PIU will analyze and summarize the data into M&E reports. The PIU shall share a Project Report\ncovering the calendar semester with the World Bank no later than one month after the end of each calendar semester. A\ndedicated M&E specialist within the PIU will be responsible for data collection and reporting.\n\n\n**C. Sustainability**\n\n\n38. **The Project will promote sustainability by working through and building the capacity of existing institutions.**\n\n\nPage 20 of 64\n\nMention: \"mapping of agencies supporting MSME development\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"inform\", \"summary\": \"Institutional mapping that identified the Export Agency as SEDP implementer.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002875:3:2", "occurrence_id": "fef5b1d001addbcc656d3138", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  <sup>2</sup>, more\nthan two-thirds of women in Malawi indicated facing a decrease in food availability, an increase in food prices, and a\ndecrease in the supply of agriculture inputs. In AFE, the effects of food insecurity on women are dire and frequently come\non top of inequalities in access to health care, markets, and income. In addition, the impacts of climate change on food\n\n\n1 https://gca.org/wp-content/uploads/2021/10/GCA_STA21_Sect2_AGRICULTURE-AND-FOOD.pdf\n2 UN Women, United Nations Population Fund (UNFPA), and partners (2020) CATI COVID-19 rapid gender assessments (unpublished data) in\nImpact of COVID-19 on Gender Equality and Women’s Empowerment in East and Southern Africa. Nairobi: UN Women and UNFPA, East and\nSouthern Africa Regional Offices.\n\n\nFeb 15, 2023 Page 4 of 11\n\nMention: \"CATI COVID-19 rapid gender assessments\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Unpublished telephone assessments cited as the source for the region's gendered COVID-19 impact claims.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002905:2:2", "occurrence_id": "704c2ea2b862d13cf3defdc5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Ethiopia: April 2023 (English). Macro Poverty Outlook (MPO) Washington, D.C.: World Bank Group.\n2 International Organization for Migration. Ethiopia – National Displacement Report 16 (November 2022 – June 2023). August 21, 2023.\n3 The World Bank. Climate Change Knowledge Portal\n\n\nAug 16, 2023 Page 3 of 13\n\nMention: \"Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited as the first numbered source for the macro-poverty projections.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002937:5:0", "occurrence_id": "626c0e776d10a780bcc388ed", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUmbrella Organization to Support NFWP\n\n\nissues have, in turn, incentivized the emergence of informal and often unregulated savings and lending\ngroups in rural areas of Nigeria.\n\n\n**Gender-based violence (GBV) like in other jurisdictions, remains a challenge in Nigeria significantly**\n**constraining women’s autonomy and life chances.** The 2018 Demographic Health Survey indicates that\nnationally 31 percent of women between the ages of 15 and 49 have experienced some form of physical or\nsexual violence and 14 percent experienced physical violence within the 12 months before the survey, up\nfrom 28 percent and 11 percent, respectively, in the 2013 DHS. Fifty-five (55) percent of women who\nexperienced violence never sought help or told anyone about the violence. Besides interpersonal and sexual\nviolence, child marriage and female genital mutilation are the other harmful cultural practices prevalent\nacross Nigeria.Conflict in the northeast has further contributed to a steep rise in targeted violence against\nwomen and children by Boko Haram increasingly for abduction and violence. Women are increasingly being\nused as instruments of war, including suicide bombing and forced marriages, making them vulnerable to\nstigmatization and rejection from their families and communities.\n\n\n**The Bill and Melinda Gates Foundation is partnering with the World Bank to support the implementation**\n**of the NFWP through** the Trust Fund “Support for Women's Social and Economic Empowerment through the\nNFWP” which is funding this small IPF operation. This Project is critical to the successful institutionalization\nof the WAG model being set up under NFWP. It will support NFWP to test different approaches to delivering\nbehavior change communications and trainings around health, GBV, and social norms, which can be scaled\nacross the current NFWP locations and will inform implementation in future phases of NFWP. This Project\nwill support NFWP in institutionalizing the WAGs beyond their first NFWP-supported savings cycle by\ncontinuing to bring WAGs together\n\nMention: \"2018 Demographic Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows 31 percent of women aged 15–49 experienced physical or sexual violence nationally.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002937:5:0", "occurrence_id": "47c7ae227cae826106212970", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUmbrella Organization to Support NFWP\n\n\nissues have, in turn, incentivized the emergence of informal and often unregulated savings and lending\ngroups in rural areas of Nigeria.\n\n\n**Gender-based violence (GBV) like in other jurisdictions, remains a challenge in Nigeria significantly**\n**constraining women’s autonomy and life chances.** The 2018 Demographic Health Survey indicates that\nnationally 31 percent of women between the ages of 15 and 49 have experienced some form of physical or\nsexual violence and 14 percent experienced physical violence within the 12 months before the survey, up\nfrom 28 percent and 11 percent, respectively, in the 2013 DHS. Fifty-five (55) percent of women who\nexperienced violence never sought help or told anyone about the violence. Besides interpersonal and sexual\nviolence, child marriage and female genital mutilation are the other harmful cultural practices prevalent\nacross Nigeria.Conflict in the northeast has further contributed to a steep rise in targeted violence against\nwomen and children by Boko Haram increasingly for abduction and violence. Women are increasingly being\nused as instruments of war, including suicide bombing and forced marriages, making them vulnerable to\nstigmatization and rejection from their families and communities.\n\n\n**The Bill and Melinda Gates Foundation is partnering with the World Bank to support the implementation**\n**of the NFWP through** the Trust Fund “Support for Women's Social and Economic Empowerment through the\nNFWP” which is funding this small IPF operation. This Project is critical to the successful institutionalization\nof the WAG model being set up under NFWP. It will support NFWP to test different approaches to delivering\nbehavior change communications and trainings around health, GBV, and social norms, which can be scaled\nacross the current NFWP locations and will inform implementation in future phases of NFWP. This Project\nwill support NFWP in institutionalizing the WAGs beyond their first NFWP-supported savings cycle by\ncontinuing to bring WAGs together\n\nMention: \"2013 DHS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Earlier round supplying the 28 and 11 percent comparison showing rising violence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002937:2:0", "occurrence_id": "8f439afbe735b7ac20726da0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUmbrella Organization to Support NFWP\n\n\ndecades. Fragility, conflict, and insecurity afflict many parts of the country, in particular the northeast.\nInsufficient capacity constrains the public sector, and on many human development indicators, Nigeria ranks\namongst the lowest in the world. To realize its considerable potential, and to fulfill the government’s\nambition to lift 100 million Nigerians out of poverty by 2030, Nigeria must make tangible progress on\nmultiple fronts, at both the federal and sub-national levels.\n\n\n**Nigeria’s poor human capital outcomes reflect the low levels of public expenditure and weaknesses in**\n**service delivery.** In terms of the Human Capital Index (HCI), Nigeria, in 2020, was the seventh lowest in the\nworld—168th out of 174 countries. A baby born in Nigeria today will, if the levels, quality and coverage of\nhuman capital investments and service delivery remain unchanged, enter the labor force 18 years from now\nonly 36 percent as productive as she would be if she were to enjoy the benefits of a complete quality\neducation and full health. Human development outcomes are particularly low among girls and young women\nin Nigeria. Girls have fewer educational opportunities, more limited access to credit and productive\nresources, and poorer labor market outcomes even when gaps in human capital are considered.\n\n\n**Nigeria is 139th out of 156 countries on the World Economic Forum’s 2020 Global Gender**\n**Gap Index1.** Women’s disadvantaged position and lack of decision-making power in the social, economic,\nand political spheres is reflected in policies, laws, and resource allocation that thwart progress towards\ngender equality in the country. More than 70 percent of women live below the poverty line, and maternal\nmortality ratio is among the highest in the world at 576 per 100,000. Female enrollment in school lags\nbehind boys and represents one third to one quarter of classroom participants depending on the\n\nMention: \"human development indicators\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"analyze\", \"summary\": \"Comparative indicators placing Nigeria among the world's lowest performers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002838:63:1", "occurrence_id": "fb020abff98be27f4b020bd5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >**manufacturing and service sectors …**<br> <br>Source: Staff calculation based on WB Enterprise Survey<br>(2019) <br>0<br>2000<br>4000<br>6000<br>8000<br>10000<br>12000<br>All Sectors<br>Manufacturing<br>Retail<br>Other Services<br>Annual Median Wage in the formal private sector (TJS)<br>Sughd<br>Dushanbe<br>Region of Republican Subordination & Khatlon|**D. ...and account for most net job creation in non-**<br>**agriculture formal private sector**<br> <br>Source: Staff calculation based on WB Enterprise Survey<br>(2019), Population data from Tajik Statistical Agency<br>(2019)<br>27.8%<br>~~51.4%~~<br>~~20.9%~~<br>0%<br>10%<br>20%<br>30%<br>40%<br>50%<br>60%<br>70%<br>Sughd<br>Dushanbe<br>Region of Republican<br>Subordination &<br>Khatlon<br>Share of Net Job Creation in Non-agriculture Private Sector<br>Jobs versus Share of Population (2019)<br>Share of newly-created non-agriculture private sector jobs (2019)<br>Share of national population|\n|**E. These two regions, especially Dushanbe, also the need**<br>**more skilled workers.**|**F. Sector wise, services account for the largest chunk of**<br>*\n\nMention: \"Population data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Agency population figures combined with enterprise survey results to compute job-creation shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002943:4:1", "occurrence_id": "fcd2b445299b2bead67d5999", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Johnson & Johnson vaccine. The First AF to The Togo COVID-19 Emergency Response and System\nPreparedness Strengthening Project (P173880) will be used to purchase 1,950,000 of these doses through\nAVAT. This second AF will finance the procurement of 2,050,000 doses of Johnson & Johnson vaccine.\n\n**5.** **Togo is experiencing a third wave of the COVID-19 pandemic, with around 900 new cases per**\n**week, since the end of June 2021 (Annex 2).** As of November 1, 2021, the country has confirmed 26,086\ncases of COVID-19; 25,632 (98 percent) have recovered, with 242 deaths (0.9 percent). Although Togo is\nconsidered as one of the leading countries in the region in terms of response to the pandemic, the\nperception about the vaccine’s safety is negative. The communication on COVID-19 vaccination and the\nmeasures taken by the government are addressing this negative perception as evidenced by the high\nproportion of priority targeted population vaccinated during Phase 1 of the campaign. As of October 17,\n2021, 5 percent (425,501 people) of the population were reported to be fully vaccinated and 881,567\npeople vaccinated with the first dose are waiting for the second one. Of the Knowledge, Attitudes, and\nPerceptions (KAP) survey <sup>2</sup> [^2: Report on Knowledge, Attitudes and Perceptions of the population in the context the introduction of the vaccine against COVID-19\nIn Togo; WHO; GAVI; September 2021] respondents, only 6.4 percent mentioned vaccination as a means of preventing\nCOVID-19. The survey showed, however, that perceptions of the vaccine's effectiveness were positive,\nwith 63 percent of respondents indicating that the vaccine protects against COVID-19. Challenges\nidentified under the first AF remain the same, such as managing persistent rumors related to vaccination\nagainst COVID-19, as well as strengthening coordination, management of database, and protection of\npersonal data\n\nMention: \"Knowledge, Attitudes, and\nPerceptions (KAP) survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey in which only 6.4 percent of respondents mentioned vaccination concerns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002953:3:1", "occurrence_id": "116888577cbfd2748a932a0e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , a severe drought and tropical storm Eta’s\nimpacts on agricultural production, the Belize economy shrunk by 14 percent in 2020. The resulting drop in per\ncapita GDP from US$5,079 to US$4,250 relegated the country into the lower middle-income group for the first\ntime in ten years. Meanwhile, paired with a drop in tax revenue, increased public spending needs further\nworsened Belize’s already dire fiscal situation, as public deficit and debt rose to 10.4 percent and 123 percent\nof GDP, respectively. The sharp economic decline and rise in unemployment, particularly in sectors employing\nlow-skilled workers, is expected to have led to a significant increase in poverty <sup>7</sup> [^7: Poverty impact data from COVID-19 is not yet available.] .\n\n\nSectoral and Institutional Context\n\n\n6. **Life expectancy in Belize has increased over the past decade with the upward trend mainly driven by**\n**reductions in childhood mortality, but a rapidly rising burden of non-communicable disease threatens the**\n**financial viability of the healthcare system and puts large parts of the population at risk of severe COVID-19**\n**illness and death** . Life expectancy has steadily trended upwards in Belize over the past decade, from 71.5 years\nin 2009 to 74.6 years as of 2019. <sup>8</sup> [^8: World Development Indicator (WDI) database.] This increase is in part driven by rapid declines in infant mortality (11 per\n1,000 births) and under five mortality (12 per 1,000 births) rates, which both dropped by over one third since\n2009 and now are the second lowest in Central America after Costa Rica. The improvements in childhood\nmortality contrast with a rapidly rising burden of non-communicable diseases in a relatively young population. <sup>9</sup>\nDriven by unhealthy lifestyles – high body mass index, blood sugar, blood pressure and alcohol consumption <sup\n\nMention: \"Poverty impact data from COVID-19\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"inform\", \"summary\": \"Footnote states poverty impact data is not yet available, so the increase is only expected.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002953:3:1", "occurrence_id": "0361845db2e505bb50894159", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , a severe drought and tropical storm Eta’s\nimpacts on agricultural production, the Belize economy shrunk by 14 percent in 2020. The resulting drop in per\ncapita GDP from US$5,079 to US$4,250 relegated the country into the lower middle-income group for the first\ntime in ten years. Meanwhile, paired with a drop in tax revenue, increased public spending needs further\nworsened Belize’s already dire fiscal situation, as public deficit and debt rose to 10.4 percent and 123 percent\nof GDP, respectively. The sharp economic decline and rise in unemployment, particularly in sectors employing\nlow-skilled workers, is expected to have led to a significant increase in poverty <sup>7</sup> [^7: Poverty impact data from COVID-19 is not yet available.] .\n\n\nSectoral and Institutional Context\n\n\n6. **Life expectancy in Belize has increased over the past decade with the upward trend mainly driven by**\n**reductions in childhood mortality, but a rapidly rising burden of non-communicable disease threatens the**\n**financial viability of the healthcare system and puts large parts of the population at risk of severe COVID-19**\n**illness and death** . Life expectancy has steadily trended upwards in Belize over the past decade, from 71.5 years\nin 2009 to 74.6 years as of 2019. <sup>8</sup> [^8: World Development Indicator (WDI) database.] This increase is in part driven by rapid declines in infant mortality (11 per\n1,000 births) and under five mortality (12 per 1,000 births) rates, which both dropped by over one third since\n2009 and now are the second lowest in Central America after Costa Rica. The improvements in childhood\nmortality contrast with a rapidly rising burden of non-communicable diseases in a relatively young population. <sup>9</sup>\nDriven by unhealthy lifestyles – high body mass index, blood sugar, blood pressure and alcohol consumption <sup\n\nMention: \"World Development Indicator (WDI) database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the life expectancy and mortality series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002969:2:1", "occurrence_id": "f84f88f5c5de96cf02b9ae2e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and continued\npandemic-related tax reliefs. Despite the declared truce on March 24, 2022, further disruptions due to\nthe prolonged crisis in Ethiopia and the lower confidence level generated by the state of emergency are\nexpected to have a substantial and negative spillover onto Djibouti’s economy. GDP growth in Djibouti\ncould hover between 2.7 and 4.3 percent in 2022. Furthermore, humanitarian and security costs resulting\nfrom potential migratory movements from Ethiopia would exacerbate fiscal fragility created by the\nCOVID-19 pandemic. As a net importer of food and energy, the economic consequences of the Russian\ninvasion of Ukraine, war and associated sanctions would likely affect Djibouti’s external account through\nhigher import bills.\n\n3. **Although classified as a lower-middle-income country, high rates of inequality persist, as**\n**reflected in a Gini coefficient of 0.42** . Despite recent economic growth and trend of decreasing inequality,\nan estimated 17 percent of Djiboutians live in extreme poverty (less than US$ 1.90/day) based on the\n2017-18 household survey. This extreme poverty rate is estimated to have increased to 23-30 percent due\nto the impoverishing effects of the COVID-19 pandemic. Poverty is pervasive in Djibouti with 74 percent\n\n\nApr 05, 2022 Page 3 of 16\n\nMention: \"2017-18 household survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 17 percent extreme poverty rate behind the pandemic deterioration estimate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002800:79:2", "occurrence_id": "19dfda1084c6bc15f5017249", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: : Evolution of interest rates on loans in Chile**\n\n\n\n\n\n\n\n\n\n\n|Types of loans|Average interest<br>rate: Q4/2021|Average interest<br>rate: Q4/2022|\n|---|---|---|\n|Loans in Chilean pesos, maturity over 3 years<br>|<br>15.13%<br>|<br>20.91%<br>|\n|<br>Loans in US dollars for foreign trade, maturity over 1 year<br>|<br>3.18%<br>|<br>4.85%<br>|\n|<br>Loans in Chilean Units of Account for housing, maturity over 3 years|<br>3.82%|<br>4.51%|\n\n\n\n_Source:_ Original calculation based on statistics published in the Central Bank of Chile, “Boletín Estadístico,” _[https://www.bcentral.cl/web/banco-](https://www.bcentral.cl/web/banco-central/boletin-detalle)_\n\n_central/boletin-detalle_ .\n\n\n\n136 IMF (International Monetary Fund), _Chile:_ _Financial_ _System_ _Stability_ _Assessment_ (Washington, DC : IMF, 2021),\n_[https://www.imf.org/en/Publications/CR/Issues/2021/12/09/Chile-Financial-Systems-Stability-Assessment-510866.](https://www.imf.org/en/Publications/CR/Issues/2021/12/09/Chile-Financial-Systems-Stability-Assessment-510866)_\n\n\nPage 75\n\nMention: \"statistics published in the Central Bank of Chile\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Bank statistics used to compute the loan interest-rate comparisons in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002800:79:2", "occurrence_id": "555bb0fa08536732bdb36648", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: : Evolution of interest rates on loans in Chile**\n\n\n\n\n\n\n\n\n\n\n|Types of loans|Average interest<br>rate: Q4/2021|Average interest<br>rate: Q4/2022|\n|---|---|---|\n|Loans in Chilean pesos, maturity over 3 years<br>|<br>15.13%<br>|<br>20.91%<br>|\n|<br>Loans in US dollars for foreign trade, maturity over 1 year<br>|<br>3.18%<br>|<br>4.85%<br>|\n|<br>Loans in Chilean Units of Account for housing, maturity over 3 years|<br>3.82%|<br>4.51%|\n\n\n\n_Source:_ Original calculation based on statistics published in the Central Bank of Chile, “Boletín Estadístico,” _[https://www.bcentral.cl/web/banco-](https://www.bcentral.cl/web/banco-central/boletin-detalle)_\n\n_central/boletin-detalle_ .\n\n\n\n136 IMF (International Monetary Fund), _Chile:_ _Financial_ _System_ _Stability_ _Assessment_ (Washington, DC : IMF, 2021),\n_[https://www.imf.org/en/Publications/CR/Issues/2021/12/09/Chile-Financial-Systems-Stability-Assessment-510866.](https://www.imf.org/en/Publications/CR/Issues/2021/12/09/Chile-Financial-Systems-Stability-Assessment-510866)_\n\n\nPage 75\n\nMention: \"Boletín Estadístico\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The specific statistical bulletin, cited with its URL, behind the interest-rate figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002975:6:1", "occurrence_id": "b37bb9a729d4bf2b3e5aba93", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  capacity to execute, monitor, and account for the transfers). Thus, this project will\nallow the Government to test the concept of municipal transfers in practice, allowing for potential needed\nenhancements in advance of rolling out FEAL and FEM across the country.\n\n\n11. **PFM capacity is weak in many municipalities, given the centralized nature of the PFM system in Angola.** Most\nmunicipalities do not have control over much of their budget. Most revenues come from the central government; rates\nof fees and charges are set centrally, as are the levels and areas of expenditure. However, this will change drastically\nonce the decentralization process is implemented, and municipalities are given greater financial autonomy. Capacity\ndevelopment to prepare for decentralization is thus essential to ensure that municipalities are able to manage their\nfinances effectively and with due accountability.\n\n\n12. **The widespread lack of legal identity cards (** **_Bilhete de Identidade_** **– BI), significantly constrains municipal**\n**revenue mobilization and citizens’ access to public services.** <sup>9</sup> According to administrative data from MINJUSDH, only\n40 percent of the population over the age of five possessed civil identification. The low coverage of civil identity restricts\nmunicipal tax collection because citizens cannot register for a tax identification number (NIF) without a BI. The NIF is\nrequired to enroll in the Citizens’ Portal and access online services, including paying taxes and municipal fees. Legal\nidentification is also needed to register properties and vehicles, which are subject to taxation. These are often bought\nand sold without proper registration due to lack of legal identity, with consequent negative impacts on tax collection.\nMoreover, the lack of identification is a barrier to developing the formal economy, which further exacerbates revenue\nmobilization by municipalities. Legal identification is also needed for accessing public services including studying past\nthe sixth grade, specialized health services, municipal administrative\n\nMention: \"administrative data from MINJUSDH\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ministry records showing only 40 percent of over-fives hold civil identification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002975:4:1", "occurrence_id": "c27c327b984300a2ac53ce16", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ,000 inhabitants or above 500,000, according to data from Angola’s latest census (2014), <sup>5</sup> which\npose some important service delivery challenges. A range of population between 25,000 and 250,000 tends to be\nconsidered as the most efficient in terms of the provision of public services. There are diseconomies of scale beyond\n250,000 people, while administrative entities under 25,000 are generally considered less efficient when it comes to the\ndelivery of specialized and capital-intensive services.\n\n\n7. **Municipalities are not yet receiving all the revenues conferred to them by law.** The legal framework <sup>6</sup>\nestablishes that municipalities have access to six revenue sources; however, in practice they have only ever received\nthe following four: <sup>7</sup> (a) central government transfers; (b) municipal fees, charges, and licenses ( _taxas comunitárias)_ ; (c)\ntaxes collected by central government and shared with municipalities (“shared taxes”, see Table 1); and (d) natural\nresources taxes. There are two kinds of central government transfers: “ordinary” transfers and specifically attributed\ntransfers. The allocation of ordinary transfers to municipalities varies each year in accordance with the expected\nrevenue collection of the central government, as set forth in the annual budget. In addition, there are two sources of\nspecifically attributed transfers: <sup>8</sup> (a) Integrated program for local development and fight against poverty; and (b)\nParticipatory budget funds. Both are fixed amounts that do not vary by size of the municipality, and neither are not a\nsignificant source of revenues, except for the smaller municipalities.\n\n\n8. **Most municipal revenues come from central government transfers, and municipalities execute a small**\n**fraction of government expenditures.\n\nMention: \"data from Angola’s latest census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census population sizes used to classify municipalities and identify service-delivery diseconomies.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002987:68:0", "occurrence_id": "d3b9fce4d5cdea4601b2ef8d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCosta Rica Climate Resilient Recovery and Territorial Development Project (P178049)\n\n\n\n\n\n1. **The losses due to Hurricane Eta (November 2020) on the Pacific coast, the extreme rainfall event (July**\n**2021),** **and Tropical Storm Bonnie (July 2022) follow historical trends of vulnerability at a territorial level.** Brunca\nand Huetar Atlántica regions have accumulated over US$700 million in damages, which is over 40 percent of the\nnational total. There is a strong correlation with socioeconomic vulnerability and disaster impacts. The percentages of\nthe poor in the regions of Brunca and Huetar Atlántica are around 30 percent compared to 11 percent in the central\nregion. <sup>55</sup> According to the National Institute of Statistics and Census (INEC), these regions have some of the lowest\nlevels recorded in the 2010-2018 HDI and the highest percentages of Indigenous populations (averaging 10.8 percent\nof the total population in the Huetar Atlántica and 9.3 percent in Brunca, with cantons like Buenos Aires with nearly\n30 percent of indigenous peoples) and Afro-descendants. <sup>56</sup> Furthermore, the United Nations High Commissioner for\nRefugees (UNHCR) estimates that 46 percent of Nicaraguans in need of international protection and living in poverty\nor extreme poverty are in the Huetar Norte and Brunca regions.\n\n\n2. **Figure A3.1.** Distribution of Cantons with Emergency Decrees\n\n\n55 National Household Survey 2021\n56 _[https://www.inec.cr/social/grupos-etnicos-raciales](https://www.inec.cr/social/grupos-etnicos-raciales)_\n\n\nPage 63 of 67\n\nMention: \"2010-2018 HDI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Subnational HDI series showing the lowest levels in regions with high Indigenous populations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002987:68:0", "occurrence_id": "c40199542eb2c6dde3ecf596", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCosta Rica Climate Resilient Recovery and Territorial Development Project (P178049)\n\n\n\n\n\n1. **The losses due to Hurricane Eta (November 2020) on the Pacific coast, the extreme rainfall event (July**\n**2021),** **and Tropical Storm Bonnie (July 2022) follow historical trends of vulnerability at a territorial level.** Brunca\nand Huetar Atlántica regions have accumulated over US$700 million in damages, which is over 40 percent of the\nnational total. There is a strong correlation with socioeconomic vulnerability and disaster impacts. The percentages of\nthe poor in the regions of Brunca and Huetar Atlántica are around 30 percent compared to 11 percent in the central\nregion. <sup>55</sup> According to the National Institute of Statistics and Census (INEC), these regions have some of the lowest\nlevels recorded in the 2010-2018 HDI and the highest percentages of Indigenous populations (averaging 10.8 percent\nof the total population in the Huetar Atlántica and 9.3 percent in Brunca, with cantons like Buenos Aires with nearly\n30 percent of indigenous peoples) and Afro-descendants. <sup>56</sup> Furthermore, the United Nations High Commissioner for\nRefugees (UNHCR) estimates that 46 percent of Nicaraguans in need of international protection and living in poverty\nor extreme poverty are in the Huetar Norte and Brunca regions.\n\n\n2. **Figure A3.1.** Distribution of Cantons with Emergency Decrees\n\n\n55 National Household Survey 2021\n56 _[https://www.inec.cr/social/grupos-etnicos-raciales](https://www.inec.cr/social/grupos-etnicos-raciales)_\n\n\nPage 63 of 67\n\nMention: \"National Household Survey 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey behind the poverty levels recorded in the Huetar Norte and Brunca regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002953:4:2", "occurrence_id": "1c4d392f429f2e2f7404f637", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Figures from PAHO/WHO Country Cooperation Strategy Belize, 2017-2021. The same report has injuries and external\ncauses, in particular interpersonal violence, accounting for 28% and communicable diseases for about 20% of deaths.\nSimilar estimates come from the Institute of Health Metrics and Evaluation ( <mark>Vos, Theo, et al. \"Global burden of 369</mark>\n<mark>diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease</mark>\n<mark>Study 2019.\"</mark> _<mark>The Lancet</mark>_ <mark>396.10258 (2020): 1204-1222.)</mark>\n12 International Diabetes Federation. 2015. “IDF Diabetes Atlas 7th Edition. www.diabetesatlas.org\n13 The health spending data in this paragraph come from the World Health Organization’s Global Health Expenditure\nDatabase (GHED).\n14 Arcia, Gustavo. 2016. Efficiency of Public Expenditures in Education and Health in Belize, 2003-2013. IDB Technical Note\n972. Inter-American Development Bank.\n15 Ian Mac Arthur, Jennifer Nelson, Martha Woodye. 2014. Quality improvement of health care in Belize: focusing on\nresults. IDB Technical Note 661. Inter-American Development Bank.\n16 According to the Belize Multiple Indicator Cluster Survey 2015-16, 93 percent of pregnant women complete 4 or more\nantenatal care visits and 99 percent give birth in a health facility and poor-rich gaps in the uptake of essential services like\nantenatal care and childhood vaccinations are of negligible magnitude. Comparing ethnic groups,\n\n\nJan 11, 2022 Page 5 of 10\n\nMention: \"health spending data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Footnote identifies the source of all health expenditure figures in the paragraph.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002953:4:2", "occurrence_id": "aed6d159426a77648e8adea6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Figures from PAHO/WHO Country Cooperation Strategy Belize, 2017-2021. The same report has injuries and external\ncauses, in particular interpersonal violence, accounting for 28% and communicable diseases for about 20% of deaths.\nSimilar estimates come from the Institute of Health Metrics and Evaluation ( <mark>Vos, Theo, et al. \"Global burden of 369</mark>\n<mark>diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease</mark>\n<mark>Study 2019.\"</mark> _<mark>The Lancet</mark>_ <mark>396.10258 (2020): 1204-1222.)</mark>\n12 International Diabetes Federation. 2015. “IDF Diabetes Atlas 7th Edition. www.diabetesatlas.org\n13 The health spending data in this paragraph come from the World Health Organization’s Global Health Expenditure\nDatabase (GHED).\n14 Arcia, Gustavo. 2016. Efficiency of Public Expenditures in Education and Health in Belize, 2003-2013. IDB Technical Note\n972. Inter-American Development Bank.\n15 Ian Mac Arthur, Jennifer Nelson, Martha Woodye. 2014. Quality improvement of health care in Belize: focusing on\nresults. IDB Technical Note 661. Inter-American Development Bank.\n16 According to the Belize Multiple Indicator Cluster Survey 2015-16, 93 percent of pregnant women complete 4 or more\nantenatal care visits and 99 percent give birth in a health facility and poor-rich gaps in the uptake of essential services like\nantenatal care and childhood vaccinations are of negligible magnitude. Comparing ethnic groups,\n\n\nJan 11, 2022 Page 5 of 10\n\nMention: \"Global Health Expenditure\nDatabase\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The specific WHO database supplying the health expenditure comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002987:71:1", "occurrence_id": "799423cf83e22e74bf71d751", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  as migrants and refugees are stranded in transit and in very vulnerable conditions.\n\n\n**Table A4.1. Geographic concentration of asylum seekers and refugees by canton (2017-2022)**\n\n\n_Source: UNHCR based on proGres v.4 registration database, as of Nov 2, 2022_\n\n\n59 Protocolo general para la atención de la migración laboral para la época de cosechas en el marco de la alerta por (covid-19), 2020 -2021.\n_[https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf](https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf)_\n60 Spatially disaggregated data at the level of cantons and districts are available on the overall distribution of the migrant population (including\nrefugees and asylum seekers) (2011 Census). While the data on the number of asylum seekers and refugees are not available nationwide, UNHCR\ndata show that these populations are disproportionally located in the northern region. UNHCR data on the number of refugees and asylum\nseekers is only available at the regional level by the time of preparation. UNHCR will collaborate with monitoring and evaluation throughout\nproject implementation, allowing for more accurate reporting on the number of refugees and asylum seekers benefiting from the project.\n\n\nPage 66 of 67\n\nMention: \"proGres v.4 registration database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNHCR registration database behind the canton-level asylum seeker and refugee counts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002987:71:1", "occurrence_id": "8dfece05b20c3c7f716e8d5e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  as migrants and refugees are stranded in transit and in very vulnerable conditions.\n\n\n**Table A4.1. Geographic concentration of asylum seekers and refugees by canton (2017-2022)**\n\n\n_Source: UNHCR based on proGres v.4 registration database, as of Nov 2, 2022_\n\n\n59 Protocolo general para la atención de la migración laboral para la época de cosechas en el marco de la alerta por (covid-19), 2020 -2021.\n_[https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf](https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf)_\n60 Spatially disaggregated data at the level of cantons and districts are available on the overall distribution of the migrant population (including\nrefugees and asylum seekers) (2011 Census). While the data on the number of asylum seekers and refugees are not available nationwide, UNHCR\ndata show that these populations are disproportionally located in the northern region. UNHCR data on the number of refugees and asylum\nseekers is only available at the regional level by the time of preparation. UNHCR will collaborate with monitoring and evaluation throughout\nproject implementation, allowing for more accurate reporting on the number of refugees and asylum seekers benefiting from the project.\n\n\nPage 66 of 67\n\nMention: \"Spatially disaggregated data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Canton and district level data on migrant population distribution, available only from the census.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002987:71:1", "occurrence_id": "ad9b3a543d818c1a6fd71606", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  as migrants and refugees are stranded in transit and in very vulnerable conditions.\n\n\n**Table A4.1. Geographic concentration of asylum seekers and refugees by canton (2017-2022)**\n\n\n_Source: UNHCR based on proGres v.4 registration database, as of Nov 2, 2022_\n\n\n59 Protocolo general para la atención de la migración laboral para la época de cosechas en el marco de la alerta por (covid-19), 2020 -2021.\n_[https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf](https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf)_\n60 Spatially disaggregated data at the level of cantons and districts are available on the overall distribution of the migrant population (including\nrefugees and asylum seekers) (2011 Census). While the data on the number of asylum seekers and refugees are not available nationwide, UNHCR\ndata show that these populations are disproportionally located in the northern region. UNHCR data on the number of refugees and asylum\nseekers is only available at the regional level by the time of preparation. UNHCR will collaborate with monitoring and evaluation throughout\nproject implementation, allowing for more accurate reporting on the number of refugees and asylum seekers benefiting from the project.\n\n\nPage 66 of 67\n\nMention: \"2011 Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The only source with subnational migrant distribution, since refugee data is not published geographically.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002987:71:1", "occurrence_id": "5286953b085d813de9111f2e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  as migrants and refugees are stranded in transit and in very vulnerable conditions.\n\n\n**Table A4.1. Geographic concentration of asylum seekers and refugees by canton (2017-2022)**\n\n\n_Source: UNHCR based on proGres v.4 registration database, as of Nov 2, 2022_\n\n\n59 Protocolo general para la atención de la migración laboral para la época de cosechas en el marco de la alerta por (covid-19), 2020 -2021.\n_[https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf](https://www.mag.go.cr/normativa-covid-19/protocolos/Protocolo-Decreto-42766-Trabajadores-Temporales-Agricolas.pdf)_\n60 Spatially disaggregated data at the level of cantons and districts are available on the overall distribution of the migrant population (including\nrefugees and asylum seekers) (2011 Census). While the data on the number of asylum seekers and refugees are not available nationwide, UNHCR\ndata show that these populations are disproportionally located in the northern region. UNHCR data on the number of refugees and asylum\nseekers is only available at the regional level by the time of preparation. UNHCR will collaborate with monitoring and evaluation throughout\nproject implementation, allowing for more accurate reporting on the number of refugees and asylum seekers benefiting from the project.\n\n\nPage 66 of 67\n\nMention: \"UNHCR\ndata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows refugee and asylum seeker populations disproportionately located in the northern region.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002997:4:1", "occurrence_id": "83f0aa3b104239110453c247", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: RL38.96 billion in 2000 to BRL112.08 billion in 2010 while the Social Vulnerability Index (IVS)\ndecreased from 0.355 to 0.270 during the same period. The IVS sub-index on income and employment\ndecreased from 0.331 in 2000 to 0.190 in 2010.\n\n8. **Porto Alegre’s urban core has been in decline in recent decades, contributing to the vulnerability of**\n**certain groups of residents.** Underinvestment and undervaluation of its physical and strategic assets and land\nvalue has created a rent gap and a vicious cycle of decline, while development has expanded to the south of the\ncity. This growth pattern has led to lack of investment in the Forth District and the Historic City Center, which\nhas in turn allowed uncontrolled occupation of public and private land. In 2019, about 11.7 percent of\nhouseholds were residing in informal settlements in Porto Alegre, <sup>8</sup> and 9 percent live in overcrowded spaces\n(more than 2.5 people per bedroom).\n\n\n9. **The Covid-19 pandemic has exacerbated and accelerated this decline** . More recently, the COVID-19\nGlobal Pandemic has accelerated the exit of commercial activities from the area. At the end of 2020, 45 percent\ncommercial properties were empty, which was up from 25 percent in 2019. <sup>9</sup> The pandemic has reduced the\nfiscal space in cities, even relatively wealthy cities, which in turn jeopardizes longer term recovery and resilience\nto future shocks. Despite significant fiscal support from the federal level, Brazilian states and municipalities have\n\n\n6 Social vulnerability index, or _Indice de Vulnerabilidade Social_ (IVS), is a standardized composite index 16 indicators grouped into three\ncategories (urban infrastructure, human capital, and income and employment) for 5,565 municipalities in Brazil using census data.\n\nMention: \"census data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Census inputs underlying the 16-indicator municipal social vulnerability index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003027:3:1", "occurrence_id": "f14e6137da8963e7f45c0ed6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  sustainable and inclusive human development led growth.** The RGoZ aims to accelerate the structural\ntransformation of Zanzibar’s productive capabilities through economic modernization and diversification with a\nparticular focus on export-oriented and technology-driven development. To achieve this objective and ensure\ninclusive growth and poverty reduction goals are also met, the RGoZ is seeking to strengthen its human capital base,\ncorresponding to Pillar II of the Development Vision 2050, to provide the youth with the education and skills needed\nto harness those economic opportunities and fully participate in the economic transformation. This is particularly\nimportant as a large share of youth in Zanzibar tend to not complete 12 years of education and many are not engaged\nin any economic activity. For example, according to the most recent household survey <sup>4</sup> [^4: Source: Based on OCGS Household Budget Survey 2019/20], 35 percent of 17-year-olds\nhad already left school, and over half were not engaged in any economic activity.\n\n5. **Strengthening human capital to achieve these ambitious development goals will require significant investment in**\n**education to improve foundational learning outcomes and provide the cognitive and socio-emotional skills**\n**necessary for the successful acquisition of technical skills in post-basic education** . The 2022 Human Capital Index\nreveals that a child born in Tanzania today will only be 39 percent as productive as they could be if they enjoyed\ncomplete education and full health. In Zanzibar, an 18-year-old averages about 7.8 years of schooling. However,\nwhen adjusting for quality of education received, the learning-adjusted years of schooling (LAYS) is only 5.1 years,\nindicating that, on average, students lose the equivalent of 2.7 years of schooling due to poor quality of education\nservice delivery. The Development Vision 2050 plan specifically calls for quality inclusive education and training\nprograms to improve learning outcomes. The plan emphasizes the need for acquisition of basic literacy and numeracy\nskills in primary and higher-order skills\n\nMention: \"household survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Budget survey showing 35 percent of 17-year-olds had left school, over half idle.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002969:6:6", "occurrence_id": "8c9dd750dc9c4e4635c70eb0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6|2.9|5.9|2.9|9.2|\n|**Horn of Africad **|452|28|58|36|8|4.3|3.2|0.9|3.8|\n\n\n\n_Source: Merchandise export diversification is the latest available year from UNCTAD Stat, United Nations Conference on Trade_\n_and Development. All other indicators are the latest available year from World Development Indicators, World Bank_\n\n10. **Poor nutrition outcomes for children are pervasive across the country and are often linked to**\n**incidence of diarrheal diseases in childhood and increased risk of non-communicable diseases (NCD) in**\n**adulthood.** Undernutrition accounts for 57 percent of deaths among children under five; it is widespread,\nwith 17 percent underweight and 25 percent stunted with no gender differentials. The stunting rate is\nhigher among rural (34 percent) than urban children (19 percent). Some lagging regions experience higher\n\n\n6 _Notes:_\n\n\na) Based on a “dissimilarity index,” constructed as follows: Total population, GNI per capita, official\n\ndevelopment assistance as a share of GNI, and merchandise export diversification where each is\nstandardized by taking the z-score across countries. Each country of the 138 with sufficient data was\ncompared to Djibouti, and the resulting sum of squared differences across the four standardized variables\nis the index.\nb) Middle East and North Africa, World Bank classification\nc) High-income countries (HICs), according to the World Bank FY22 classification\nd) Djibouti, Eritrea, Ethiopia, and Somalia\ne) For consistency across countries, this table employs nutrition estimates from the UNICEF-WHO-WB Joint\nChild Malnutrition Estimates, which indicate a substantially higher rate of stunting than found by the\nDjibouti 2019 SMART survey.\n\n\nApr 05, 2022 Page 7 of 16\n\nMention: \"UNCTAD Stat\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the merchandise export diversification figures in the comparison table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002969:6:6", "occurrence_id": "4534a8ad0e5091e0177f3ff1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6|2.9|5.9|2.9|9.2|\n|**Horn of Africad **|452|28|58|36|8|4.3|3.2|0.9|3.8|\n\n\n\n_Source: Merchandise export diversification is the latest available year from UNCTAD Stat, United Nations Conference on Trade_\n_and Development. All other indicators are the latest available year from World Development Indicators, World Bank_\n\n10. **Poor nutrition outcomes for children are pervasive across the country and are often linked to**\n**incidence of diarrheal diseases in childhood and increased risk of non-communicable diseases (NCD) in**\n**adulthood.** Undernutrition accounts for 57 percent of deaths among children under five; it is widespread,\nwith 17 percent underweight and 25 percent stunted with no gender differentials. The stunting rate is\nhigher among rural (34 percent) than urban children (19 percent). Some lagging regions experience higher\n\n\n6 _Notes:_\n\n\na) Based on a “dissimilarity index,” constructed as follows: Total population, GNI per capita, official\n\ndevelopment assistance as a share of GNI, and merchandise export diversification where each is\nstandardized by taking the z-score across countries. Each country of the 138 with sufficient data was\ncompared to Djibouti, and the resulting sum of squared differences across the four standardized variables\nis the index.\nb) Middle East and North Africa, World Bank classification\nc) High-income countries (HICs), according to the World Bank FY22 classification\nd) Djibouti, Eritrea, Ethiopia, and Somalia\ne) For consistency across countries, this table employs nutrition estimates from the UNICEF-WHO-WB Joint\nChild Malnutrition Estimates, which indicate a substantially higher rate of stunting than found by the\nDjibouti 2019 SMART survey.\n\n\nApr 05, 2022 Page 7 of 16\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies all remaining indicators in the comparative table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002969:6:6", "occurrence_id": "0840b3b34819bb3d64ad76fa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6|2.9|5.9|2.9|9.2|\n|**Horn of Africad **|452|28|58|36|8|4.3|3.2|0.9|3.8|\n\n\n\n_Source: Merchandise export diversification is the latest available year from UNCTAD Stat, United Nations Conference on Trade_\n_and Development. All other indicators are the latest available year from World Development Indicators, World Bank_\n\n10. **Poor nutrition outcomes for children are pervasive across the country and are often linked to**\n**incidence of diarrheal diseases in childhood and increased risk of non-communicable diseases (NCD) in**\n**adulthood.** Undernutrition accounts for 57 percent of deaths among children under five; it is widespread,\nwith 17 percent underweight and 25 percent stunted with no gender differentials. The stunting rate is\nhigher among rural (34 percent) than urban children (19 percent). Some lagging regions experience higher\n\n\n6 _Notes:_\n\n\na) Based on a “dissimilarity index,” constructed as follows: Total population, GNI per capita, official\n\ndevelopment assistance as a share of GNI, and merchandise export diversification where each is\nstandardized by taking the z-score across countries. Each country of the 138 with sufficient data was\ncompared to Djibouti, and the resulting sum of squared differences across the four standardized variables\nis the index.\nb) Middle East and North Africa, World Bank classification\nc) High-income countries (HICs), according to the World Bank FY22 classification\nd) Djibouti, Eritrea, Ethiopia, and Somalia\ne) For consistency across countries, this table employs nutrition estimates from the UNICEF-WHO-WB Joint\nChild Malnutrition Estimates, which indicate a substantially higher rate of stunting than found by the\nDjibouti 2019 SMART survey.\n\n\nApr 05, 2022 Page 7 of 16\n\nMention: \"UNICEF-WHO-WB Joint\nChild Malnutrition Estimates\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Harmonised estimates used for cross-country comparability, despite higher stunting than national survey.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002969:6:6", "occurrence_id": "512b4de1c6424c36c7a8cbdb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 6|2.9|5.9|2.9|9.2|\n|**Horn of Africad **|452|28|58|36|8|4.3|3.2|0.9|3.8|\n\n\n\n_Source: Merchandise export diversification is the latest available year from UNCTAD Stat, United Nations Conference on Trade_\n_and Development. All other indicators are the latest available year from World Development Indicators, World Bank_\n\n10. **Poor nutrition outcomes for children are pervasive across the country and are often linked to**\n**incidence of diarrheal diseases in childhood and increased risk of non-communicable diseases (NCD) in**\n**adulthood.** Undernutrition accounts for 57 percent of deaths among children under five; it is widespread,\nwith 17 percent underweight and 25 percent stunted with no gender differentials. The stunting rate is\nhigher among rural (34 percent) than urban children (19 percent). Some lagging regions experience higher\n\n\n6 _Notes:_\n\n\na) Based on a “dissimilarity index,” constructed as follows: Total population, GNI per capita, official\n\ndevelopment assistance as a share of GNI, and merchandise export diversification where each is\nstandardized by taking the z-score across countries. Each country of the 138 with sufficient data was\ncompared to Djibouti, and the resulting sum of squared differences across the four standardized variables\nis the index.\nb) Middle East and North Africa, World Bank classification\nc) High-income countries (HICs), according to the World Bank FY22 classification\nd) Djibouti, Eritrea, Ethiopia, and Somalia\ne) For consistency across countries, this table employs nutrition estimates from the UNICEF-WHO-WB Joint\nChild Malnutrition Estimates, which indicate a substantially higher rate of stunting than found by the\nDjibouti 2019 SMART survey.\n\n\nApr 05, 2022 Page 7 of 16\n\nMention: \"Djibouti 2019 SMART survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"National survey finding lower stunting than the joint estimates, a discrepancy the note discloses.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002997:2:0", "occurrence_id": "5196d320013b663cd781b738", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGreen, Resilient and Inclusive Regeneration of the Central Area of Porto Alegre (P178072)\n\n\n|Other Sources|61.17|\n|---|---|\n|FRANCE: French Agency for Development|61.17|\n\n\n\n\n\nOther Decision (as needed)\n\nNA\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n1. **The Covid-19 Pandemic hit Brazilian society and economy hard.** The country is ranked second only to\nPeru globally in number of deaths as a proportion of its population <sup>1</sup> [^1: 295.73 deaths per 100,000 population, retrieved from https://coronavirus.jhu.edu/data/mortality January 26, 2021.] . However, the relatively fast roll-out of the\nvaccination campaign contributed to a quicker than expected recovery. By January 2022, 69.7 percent of the\npopulation had been fully immunized. After a deep contraction in 2020, the economy rebounded substantially\nin 2021, although latest GDP results point to a deceleration. Growth contracted by 0.4 and 0.1 percent in the\nsecond and third quarters of 2021, respectively, placing Brazil in technical recession as it closed the year. This\nresulted partly from drought impacts on agricultural production and exports, and partly from input shortage\nimpacts on manufacturing.\n\n\n2. **Variations in economic growth have been accompanied by a deterioration of the labor market and**\n**reduced quality of jobs** . The pandemic has further exacerbated long-standing challenges of low growth and\nelevated levels of poverty and inequality. The labor market deteriorated significantly in 2020 and is yet to\nrecover to pre-pandemic levels. Unemployment jumped from 12.1 percent in 2019 to 13.5 percent in 2020 on\naverage, reaching a historic high of 14.7 percent in April 2021. Labor force participation declined from 63.6\npercent in 2019 to 59.6 percent in 2020. The unemployment rate remains high, despite initial signs\n\nMention: \"GDP results\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Quarterly GDP results showing the 2021 deceleration into technical recession.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003047:3:0", "occurrence_id": "000278f8c9bd07243a006c93", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMongolia Third Energy Sector Project (P178190)\n\n\n_Source: IEA World Energy Balance Mongolia (https://www.iea.org/countries/mongolia)_\n\n\n3. **As the economy is on its path to recover from the recent economic slowdown, the supply of reliable and green**\n**power is indispensable.** The COVID-19 pandemic caused economic slowdown, but the impact has been gradually eased\ntoday. In 2022 the economy is expected to expand at 1 percent and domestic activity is expected to gradually normalize,\nwhile in the medium term (2023-2025) it is expected that growth will be accelerated to above 6 percent <sup>**3**</sup> [^3: According to the IMF, this forecast is conditional on resolution of border disruptions and geopolitical shocks by the end of 2022. Source:\nhttps://www.imf.org/en/News/Articles/2022/05/12/mongolia-concluding-statement-2022-imf-staff-visit] . To sustain the\ngrowth of the economy and the inclusive socio-economic development of the country, reliable and efficient electricity\nsupply to consumers is one of the important groundworks. The energy sector’s support for economic recovery was\nhighlighted in the recently adopted New Recovery Policy (NRP). NRP is a 10-year strategy adopted by the Parliament of\nMongolia in December 2021 for the effective implementation of the long-term Vision 2050 policy and aims to strengthen\nMongolia's economic independence and promptly address development barriers. As NRP highlights in two of its six pillars\nthe importance of energy sector recovery and green development, it is necessary to take action and support the GoM in\nstrengthening the green energy infrastructure for the economic recovery of the country.\n\n\nSectoral and Institutional Context\n\n\n4. **The power sector is of crucial importance to Mongolia’s economy and social development.** However, the power\nsystem has been running out of sufficient generation capacity reserve, and many transmission and distribution facilities\nare obsoleted. On the generation side,\n\nMention: \"IEA World Energy Balance Mongolia\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Energy balance data cited with a URL as the figure's source.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003078:4:1", "occurrence_id": "604457133baad4d51573e51c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  diversify the country’s power mix. Solar\npower is less seasonal than small hydro, not subject to yearly variations in outputs and takes shorter time\nperiod to prepare and construct. However, outputs from solar are extremely volatile on a daily basis and\nhave to be operated with hydro with at least daily storage capability.\n\n\n**In recognition of the benefits, the Government of the Kyrgyz Republic has developed a sector**\n**development and reform road map with renewable development as one cornerstone.**\n\n\n8. **To achieve the targets toward secure, affordable, and green energy future, the Kyrgyz Republic**\n**has set ambitious targets for renewable energy deployment, buttressed by broader sector reform and**\n**development efforts.** Under the third pillar of the white paper, the Government seeks to procure 700\nMW of solar capacity and as much as 200 MW of SHPP capacity by the end of 2030 to support the\nambitious transformation of the Kyrgyz energy sector. In October 2021, the Government adopted a\nrevised Medium-Term Tariff Policy (MTTP) for 2021–2025 that require inflation adjustment from 2022 to\n2025 for all categories. Such energy tariff and broader reforms are critical for the sector’s sustainable\ndevelopment and scaling up of renewable energy through public and private financing.\n\n\n9. **Expanding generation capacity has long been on top of government’s development agenda and**\n**there has been recent momentum supported by development partners.** The government identified a\nnumber of projects to further increase the generating capacity. Recently investments are being planned\nfor several large HPPs to uplift the installed capacity with support from ADB, SECO, Eurasian Development\nBank, and the Russian-Kyrgyz Development Fund. EBRD signed MoU on financing the rehabilitation of four\nsmall hydropower plant of Chakan. On the solar side, a couple of small installations were supported by\n\n\n1 Estimates of SHPP potential provided in the United Nations (UN)\n\nMention: \"Estimates of SHPP potential\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"UN-provided estimates of small hydropower potential underpinning the generation-mix discussion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003047:5:0", "occurrence_id": "b68a032d49acf8ad3e6801f0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMongolia Third Energy Sector Project (P178190)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n_Source: ERC Statistics booklet 2022_\n\n\n7. **Although Mongolia has abundant solar and wind resource potential, only a few projects have been developed.**\nPrevious study estimated the exploitable potential to be at least 400 GW wind and 700 GW solar. <sup>19</sup> Most of the solar and\nwind energy resources are located far south and east of Ulaanbaatar as shown in Figure 6. Future development of\nabundant solar and wind generations could contribute to bridging the supply-demand gap for the whole grid, and\nadditionally, offers an important potential for the future export of renewable energy to neighboring countries. Despite of\nsuch rich resources, only few projects have been developed as of 2022, mainly due to a lack of access to high voltage\npower transmission links for power evacuation to the load center in Ulaanbaatar in the CES.\n\n\n**_<u>Figure 7: Mongolia’s solar and wind resource potential</u>_**\n\n\n_Source: Everoze Mongolia Site ID report, 2020_\n\n\n8. **The current generation fleet is dominated by inefficient CHP plants, which makes the system inflexible.** CHPs\nhave been developed as an important source in meeting the demand for heating service, especially in winter seasons.\nMost of the CHP units are quite old and inefficient, producing local pollution and greenhouse gas emission. The CHP plants\nare also inflexible with limited ramping capability, making the power system less flexible and dispatchable than what are\nneeded to enable the integration of variable renewal energy, such as solar and wind energy. The aging of the CHP plants\nalso poses a major risk to the whole power system in terms of the reliability of the power supply. Increasing the flexibility\nof the system has been taken care of by the government through other projects, including installation of 125MW scale\n\n\nSep 07, 2022 Page 6 of 12\n\nMention: \"ERC Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Regulator's statistics booklet cited as the figure's source for sector structure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003044:4:1", "occurrence_id": "02e3c191702ec7035be79d30", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  improved access to safely managed drinking water services <sup>13</sup> under the Project\ndisaggregated by gender (number) under the Project, disaggregated by gender (number)\n\n  - People provided with improved access to safely managed sanitation services <sup>14</sup> under the Project disaggregated\nby gender (number) under the Project, disaggregated by gender (number)\n\n\n**D. Concept Description**\n\n\n**10.** The proposed Sustainable and Resilient Rural Water and Sanitation Sector Support Project aims at increasing\nsector institutions' capacity for, and access to safely managed drinking water and sanitation services for the rural and\nsmall-town populations living in project areas. This will be achieved by: (i) improving the sustainability of the drinking\nwater supply systems and sanitation facilities through the strengthening of the demand-driven approach,\nprofessionalization of the service providers, and development of appropriate monitoring and regulation mechanisms,\n(ii) increasing the resilience of the sector to climate change and other natural disaster risks by integrating adaptation\nand mitigation measures into sub-projects’ cycle and the beneficiary community development projects (iii)\n\n\n11 Effective implementation of the Results based Program Budget, Demand driven approach for infrastructure development, tariffication\nallowing O&M cost recovery, Post construction support in place through the TEPACs and regular update of the national WSS database for\ninvestment decision making.\n12 Quality of service refers to the continuity of water supply, pressure, and quality of water provided.\n13 Safely managed drinking water service is defined as one located on premises, available when needed, and free from contamination (SDG\ndefinition).\n14 Safely managed sanitation facility is one where excreta is safely disposed of in situ or treated off-site (SDG definition).\n\n\nMay 26, 2022 Page 5 of 8\n\nMention: \"national WSS database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Water supply and sanitation database updated regularly to inform investment decisions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003080:2:1", "occurrence_id": "429e06dcc11e71bb12085efc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  distancing measures, the Ministry of\nHealth (MINSAL) activated a plan to respond to the epidemic. MINSAL started by strengthening epidemiological\nsurveillance at all the country’s entry points (land, air, and sea). The GoES took measures to protect the\npopulation and abide by internationally established security protocols in situations of risk. Controls at the airport\nwere established and permanent surveillance was intensified at entry points into the country, including rapid\nresponse teams with trained personnel to conduct screenings, and establish prevention and control measures.\nBecause of these stringent measures to contain the pandemic early, combined with the high rates of vaccination,\nEl Salvador has weathered the pandemic better than other countries in the region. As of March 12, 2022, there\nwere 0.024 cumulative cases per person in El Salvador, compared to the world average of 0.058 and South\nAmerican average of 0.127. In terms of deaths, which is arguably a more reliable estimate, there were 0.63\ndeaths per thousand people in El Salvador compared to 0.77 globally and 2.92 in South America. <sup>2</sup>\n\n3. **El Salvador has made significant progress in vaccinating its population against COVID-19, as of March**\n**14, 2022, the Government had fully vaccinated 65.7 percent of the population free of charge.** The GoES had\nset an initial target of vaccinating 4.5 million people (69 percent of the population), starting with frontline health\nworkers, and successively incorporating other priority groups. The targets were revised on September 22, 2021,\nto include children above 6 years of age and other eligible populations <sup>3</sup> for a total of almost 5.9 million people\n(approximately 91 percent of the population). Following new medical guidelines, the third dose or the booster\n\n\n1 World Bank estimates based on GDP data from the Central Bank of El Salvador.\n\nMention: \"GDP data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Central bank national accounts underlying the World Bank's GDP estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003027:5:0", "occurrence_id": "558e76767121b756e44bba01", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nZanzibar Improving Quality of Basic Education Project (P178157)\n\n\n8. **The academic challenges faced by students in lower secondary, stems in part from their lack of readiness upon**\n**completion of primary cycle and may contribute to the reasons why some choose not to pursue their education** .\nAccording to the Household Budget Survey 2019/20, over 59 percent of lower secondary school age students who\ndropped out of school, reported doing so because “school is useless/uninteresting”. This likely reflects more nuanced\nand varied reasons, among which is the lack of readiness to study and sit for examinations in English which is the\nlanguage of instruction in lower secondary. This is a significant challenge for students and teachers alike. For\nexample, close to 40 percent of teachers participating in the training under the Zanzibar Improving Students\nProspects (ZISP) failed the English proficiency baseline test and although proficiency levels did increase by the end\nof the training, there is still room for further improvement. Other reasons that may contribute to student drop out\nare captured in the Education Management Information Systems (EMIS) database and include poverty and parental\ndivorce as leading reasons at the lower secondary level. About 21 percent of students are already considered overage\nat the primary level, combined with higher repetition rates at the lower secondary level, this may be an additional\npush factor, leading to higher dropouts as they choose to join the labor market early.\n\n\n9. **Learning outcomes are not consistently measured, limiting the ability to diagnose the state of learning in the**\n**system, and provide feedback for improvement.** Although examinations are held at various stages of the basic\neducation cycle, standardized learning outcomes are not systematically measured with low-stakes assessments, and\nparticipation in large scale regional or international assessments is sporadic, largely based on availability of external\nfunding. There are currently four main examinations within the basic education cycle: (i) the Standard 4\n\nMention: \"Household Budget Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows 59 percent of dropouts cited school as useless or uninteresting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003080:2:0", "occurrence_id": "20d4b95682a319d3a6bd3bf5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSecond AF El Salvador COVID-19 Emergency Response Project (P178315)\n\n\n\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n\n1. **The Coronavirus Disease 2019 (COVID-19) pandemic has further impacted the slow economic recovery**\n**and growth in El Salvador.** El Salvador entered the COVID-19 crisis with a fragile fiscal situation due to structural\nfiscal problems that predated the pandemic. On March 11, 2020, El Salvador declared a national emergency and\nenacted a country-wide quarantine after the World Health Organization (WHO’s) declaration of the COVID-19\npandemic. On March 18, 2020, after confirmation of the first case in the country, the Government of El Salvador\n(GoES) announced steps to limit the economic impact for both households and businesses that would be\naffected by the outbreak. The COVID-19 pandemic together with the GoES’s response to contain the pandemic\nseverely impacted fiscal sustainability, with fiscal deficit and public debt estimated to have reached near 10 and\n90 percent of GDP by the end of 2020. GDP is estimated to have receded by 7.9 percent in 2020 and is expected\nto return to pre-pandemic levels in late 2022. <sup>1</sup> [^1: World Bank estimates based on GDP data from the Central Bank of El Salvador.] The fiscal response to the COVID-19 crisis was the most generous\nin the region – spending near 15 percent of GDP, mostly financed by debt.\n\nSectoral and Institutional Context\n\n\n2. **Among the countries in Central America, El Salvador was the quickest in adopting containment**\n**measures against COVID-19** . After the implementation of national social distancing measures, the Ministry of\nHealth (MINSAL) activated a plan to respond to the epidemic. MINSAL started by strengthening epidemiological\nsurveillance at all the country’s entry points (land, air, and sea). The GoES took measures to\n\nMention: \"GDP data from the Central Bank of El Salvador\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National accounts behind the 7.9 percent contraction estimate for 2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003039:5:2", "occurrence_id": "b7b737025798439e60b68959", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the SME sector conducted as part of the discussions with the Ministry of Small and Medium\nEnterprises and Entrepreneurship (Ministry of SMEs) and reflects various legislations and charters signed with business\nassociations in DRC. Based on this definition and available statistics, MSMEs constitute the bulk of economic activity, but\ntheir formalization, growth, and competitiveness face severe constraints. <sup>1</sup> Over 90 percent of firms are micro (1–10\nemployees), and nearly half of them have been on the market for less than five years. However, firms six years and older\ncontribute to 60 percent of employment in DRC. Young firms created in the last two years account for over 35 percent of\ntotal employment. The share of young firms in DRC is large even in the context of fragility. SMEs demonstrate the strongest\ndynamic in creating new jobs compared to large firms. However, the growth rate of existing SMEs is sluggish. The improved\nperformance of SMEs would enable them to better serve as an important engine of growth and job opportunities.\n\n\n1 World Bank Enterprise Survey 2013; SME Ecosystem Survey 2019.\n\n\nPage 4\n\nMention: \"World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Enterprise survey cited with the ecosystem survey as the SME evidence base.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003039:5:2", "occurrence_id": "d3f866e412ba21a6305c0563", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the SME sector conducted as part of the discussions with the Ministry of Small and Medium\nEnterprises and Entrepreneurship (Ministry of SMEs) and reflects various legislations and charters signed with business\nassociations in DRC. Based on this definition and available statistics, MSMEs constitute the bulk of economic activity, but\ntheir formalization, growth, and competitiveness face severe constraints. <sup>1</sup> Over 90 percent of firms are micro (1–10\nemployees), and nearly half of them have been on the market for less than five years. However, firms six years and older\ncontribute to 60 percent of employment in DRC. Young firms created in the last two years account for over 35 percent of\ntotal employment. The share of young firms in DRC is large even in the context of fragility. SMEs demonstrate the strongest\ndynamic in creating new jobs compared to large firms. However, the growth rate of existing SMEs is sluggish. The improved\nperformance of SMEs would enable them to better serve as an important engine of growth and job opportunities.\n\n\n1 World Bank Enterprise Survey 2013; SME Ecosystem Survey 2019.\n\n\nPage 4\n\nMention: \"SME Ecosystem Survey 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"More recent ecosystem survey underpinning the SME diagnosis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003092:3:2", "occurrence_id": "9031d125102a19a5baee0658", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  with one notable\n\n\n2 World Bank (2022), “Yemen Economic Monitors: Clearing Skies over Yemen?”, Spring 2022, June 13, 2022. p. xi\nand p. 14.\n3 ACAPS (2020), “Yemen Food supply chain”, Thematic report, 16 December 2020, ACAPS and Mercy Corps\n(https://www.acaps.org/sites/acaps/files/products/files/20201216_acaps_yemen_analysis_hub_food_supply_chai\nn_0.pdf)\n4 FEWA 2022 “Yemen Food Security Outlook, March to September 2022”, Famine Early Warning Systems Network,\n20 April 2022, (https://fews.net/east-africa/yemen/food-security-outlook/march-2022)\n5 https://gain.nd.edu/our-work/country-index/rankings/\n6 Yemen Rural Population 1960–2021 Macro Trends. Yemen’s rural population for 2020 was 18,519,540, a 1.24 percent increase\nfrom 2019. https://www.macrotrends.net.\n\n\n7 As of January 19, 2022, based on Worldometer elaboration of the latest UN data.\n\n\n8 World Bank data\n\n\nJun 23, 2022 Page 4 of 9\n\nMention: \"Yemen Rural Population\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Macro Trends series giving 18.5 million rural residents in 2020, up 1.24 percent on 2019.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003080:2:2", "occurrence_id": "5b37e19e7295b61187f73c02", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> for a total of almost 5.9 million people\n(approximately 91 percent of the population). Following new medical guidelines, the third dose or the booster\n\n\n1 World Bank estimates based on GDP data from the Central Bank of El Salvador.\n2 Data from Our World in Data. No information available for the aggregate of Latin or Central America. Available at:\nhttps://ourworldindata.org/coronavirus.\n3 For example, pregnant women with more than 16 weeks of gestation were included following revised international medical\nguidelines.\n\n\nApr 6, 2022 Page 3 of 7\n\nMention: \"Data from Our World in Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Vaccination coverage data, noting no aggregate exists for Latin or Central America.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003092:3:1", "occurrence_id": "1bb2fdbd41675536433e2fa2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  country to adapt, with its\nreadiness score significantly affected by the ongoing conflict. <sup>5</sup> [^5: https://gain.nd.edu/our-work/country-index/rankings/]\n\n\n**Yemen’s Rural Context**\n\n\n6. **Nearly 70 percent** <sup>**6**</sup> [^6: Yemen Rural Population 1960–2021 Macro Trends. Yemen’s rural population for 2020 was 18,519,540, a 1.24 percent increase\nfrom 2019. https://www.macrotrends.net.] **of Yemen’s 31 million population** <sup>**7**</sup> [^7: As of January 19, 2022, based on Worldometer elaboration of the latest UN data.] **lives in rural and peri-urban areas where**\n**the level of poverty is higher than in urban areas** **and is increasing.** More than 12 million of the population\nin rural and peri-urban areas are poor and food insecure, while more than 5 million are on the verge of\nstarvation. GDP per capita has more than halved since 2014 <sup>8</sup> [^8: World Bank data], reflecting the deteriorating situation. During\nthe 1980s, expatriate Yemenis transferred substantial remittances from Saudi Arabia, UAE, and other\ncountries, investing them in vehicles, new houses, and water wells with diesel-operated pumps, and\nturned their rain-fed farm fields into irrigated fields of qat and citrus. By the 1990s, rural living conditions\nbegan to deteriorate because of the civil war and external shocks. In the early 2000s, as farming incomes\ndiminished, the main source of income for most rural households was men’s urban labor, resulting in less\nearnings. Poverty worsened. By 2020, meager household incomes in rural Yemen had mostly disappeared,\nfalling victim to Yemen’s ongoing conflict, devastating\n\nMention: \"UN data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UN population figures behind the 31 million total and its rural share.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003092:3:1", "occurrence_id": "661a4b01ba0813e28f5f6b90", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  country to adapt, with its\nreadiness score significantly affected by the ongoing conflict. <sup>5</sup> [^5: https://gain.nd.edu/our-work/country-index/rankings/]\n\n\n**Yemen’s Rural Context**\n\n\n6. **Nearly 70 percent** <sup>**6**</sup> [^6: Yemen Rural Population 1960–2021 Macro Trends. Yemen’s rural population for 2020 was 18,519,540, a 1.24 percent increase\nfrom 2019. https://www.macrotrends.net.] **of Yemen’s 31 million population** <sup>**7**</sup> [^7: As of January 19, 2022, based on Worldometer elaboration of the latest UN data.] **lives in rural and peri-urban areas where**\n**the level of poverty is higher than in urban areas** **and is increasing.** More than 12 million of the population\nin rural and peri-urban areas are poor and food insecure, while more than 5 million are on the verge of\nstarvation. GDP per capita has more than halved since 2014 <sup>8</sup> [^8: World Bank data], reflecting the deteriorating situation. During\nthe 1980s, expatriate Yemenis transferred substantial remittances from Saudi Arabia, UAE, and other\ncountries, investing them in vehicles, new houses, and water wells with diesel-operated pumps, and\nturned their rain-fed farm fields into irrigated fields of qat and citrus. By the 1990s, rural living conditions\nbegan to deteriorate because of the civil war and external shocks. In the early 2000s, as farming incomes\ndiminished, the main source of income for most rural households was men’s urban labor, resulting in less\nearnings. Poverty worsened. By 2020, meager household incomes in rural Yemen had mostly disappeared,\nfalling victim to Yemen’s ongoing conflict, devastating\n\nMention: \"World Bank data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the halving of GDP per capita since 2014.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003134:15:2", "occurrence_id": "3d255ee63340b9b13d84f741", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Reduced**\n**exposure and vulnerability of urban areas to floods can greatly benefit assets and well-being, bringing**\n**macroeconomic stability, which is pivotal for economic growth** . In Argentina, 60 percent of disasters resulting from\nnatural hazards are floods, and floods resulted in 95 percent of economic losses caused by extreme natural events.\nThis reached up to US$22.5 billion of economic losses since 1980 for the populations living in the areas affected.\nAccording to the Water Security Diagnostic for Argentina, about 28 percent of Argentina’s population is exposed to\n\n\n4 According to the World Meteorological Organization the la Niña phase initiated in September 2020, resulting in reduced precipitation and\nhydric stress in large parts of the country.\n\n\nPage 10 of 61\n\nMention: \"Water Security Diagnostic for Argentina\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Diagnostic finding about 28 percent of the population exposed to floods.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003151:8:0", "occurrence_id": "ccb3041eafe879906f097d6f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening the National Statistical System in Ecuador (P178564)\n\n\n**composite score created specifically for this program that will be measured and monitored in real time by the**\n**project team.** Composite indicators like the SPI are useful for international benchmarking and monitoring, but\ntheir complexity presents a significant risk to effective project monitoring. The proposed indicator is the sum of\nten sub-indicators included in the SPI, covering four out of the five pillars (Table 1). Its baseline score, obtained\nfrom the 2020 SPI, is 4.40 out of 10. The project is expected to improve directly or maintain the score of each\nof these indicators, achieving an end-of-project target of 8.0.\n\n\n**Table 1. List of SPI indicators included in the PDO indicator**\n\n\n**Indicator** **Baseline** **Target**\n\n**2020**\n\n\n<mark>Dimension 2.2: Online access</mark> <mark>0.63</mark> <mark>1.00</mark>\n<mark>SPI.D2.2.Metadata.available</mark> <mark>0.65</mark> <mark>1.00</mark>\n<mark>Dimension 3.1: Social Statistics</mark> <mark>0.78</mark> <mark>1.00</mark>\n<mark>GOAL 5: Gender Equality (5 year moving average)</mark> <mark>0.38</mark> <mark>0.80</mark>\n<mark>Dimension 4.2: Administrative Data</mark> <mark>0.50</mark> <mark>1.00</mark>\n<mark>Agriculture survey (Availability score over 10 years)</mark> <\n\nMention: \"Agriculture survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Availability score over ten years used as one component of the statistical capacity composite.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003152:6:0", "occurrence_id": "6efdd96596e759e9d3d83e40", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening the National Statistical System in Ecuador (P178564)\n\n\n**12.** **Ecuador's statistical capacity has been slowly decreasing over the last decade** . According to the\nWorld Bank Statistical Capacity Indicator (SCI), the country's performance score during these years is\nlower than the average for Latin America and the Caribbean over the same period. The same is true when\ncomparing Ecuador to the average for International Bank for Reconstruction and Development (IBRD)\ncountries. From 2004 to 2011, the SCI index score was significantly higher than the regional average or\nthe IBRD average (Figure 1). The SCI index score for Ecuador in 2020 was 65.6 out of 100. This compares\nto 70.1 for Latin American and Caribbean countries and 71.8 for IBRD countries (Figure 1). The main\nweaknesses of Ecuador's statistical capacity comprise: the outdated base year of the national account\nsystem and the Consumer Price Index (CPI); the out-of-date methodologies for the import and export\nprices indexes and government finances accounting; the outmoded nature of the Agricultural Census and\nHealth Survey; and the weak vital statistics system. This proposed project will cover most of the\nweaknesses highlighted through the SCI.\n\n\n**Figure 1 Statistical Capacity Indicator – Ecuador**\n\n\n\n\n\n\n\n_Source: Own estimations based on data from the World Bank's statistical capacity indicator, site_\n\n<u>[https://datatopics.worldbank.org/statisticalcapacity/scidashboard.aspx](https://datatopics.worldbank.org/statisticalcapacity/scidashboard.aspx)</u>\n\n\n**13.** **Gender data gaps hinder Ecuador’s effort to track progress towards gender equality over time and**\n**design policies to address it** . Gender data provide insights into differences in wellbeing across women\nand\n\nMention: \"World Bank Statistical Capacity Indicator\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows Ecuador's capacity score below LAC and IBRD averages over the decade.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003108:27:1", "occurrence_id": "5456da96f0b71eea0d1ab732", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  will be piloted in project areas with the existing ICT-based MIS and\nexpanded based on practical learnings from the pilot.\n\n- _<u>School surveys</u>_ will be funded to assess the impact of input augmentation on outcomes - enrolment,\n\n\n\nteacher and student attendance, drop-outs, school governance (teachers’ attendance, lesson plans,\nschool maintenance etc.) and learning (to determine if TaRL and teaching training make a difference).\nIn the absence of individual learning level assessments, the project will leverage the State Assessment\nSurvey or NAS and provide support to monitoring assessment and test administration in project areas\n(along with some control areas to compare outcomes) to ensure quality.\n\n- _<u>Project evaluation</u>_ <u>: The project will support a consolidated, cross-sectoral, mixed methods impact</u>\n\n\n\nevaluation with a counterfactual to assess the project’s impacts. Sampling strategy for the evaluation\nwill be in sync with the interdependency and convergence of multi-sectoral components under the\nproject. Key agriculture and livelihoods interventions will be evaluated using household surveys and\nsurveys with CLFs, PGs and POs.\n\n- _<u>Process monitoring</u>_ <u>: The analytical work on administrative data and project evaluation will be</u>\n\n\n\ncomplemented by periodic process monitoring rounds which collect quantitative data on\nimplementation processes as well as demand-driven qualitative data to unpack the quantitative\nevidence on implementation.\n\n- _<u>Capacity building for MLE</u>_ <u>: Implementing these MLE activities will require building in-house capacity in</u>\n\nthe PMU and PIUs. A technical support agency will be hired by the government to help strengthen the\nPMU’s capacity to commission and use evaluations. The agency will be the technical lead for all MLE\nrelated activities and will reinforce the culture of result-based management and evaluation in\n\nMention: \"State Assessment\nSurvey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Existing state assessment leveraged for learning outcomes where individual assessments are absent.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003108:27:1", "occurrence_id": "acef1111e9a0924f3c454189", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  will be piloted in project areas with the existing ICT-based MIS and\nexpanded based on practical learnings from the pilot.\n\n- _<u>School surveys</u>_ will be funded to assess the impact of input augmentation on outcomes - enrolment,\n\n\n\nteacher and student attendance, drop-outs, school governance (teachers’ attendance, lesson plans,\nschool maintenance etc.) and learning (to determine if TaRL and teaching training make a difference).\nIn the absence of individual learning level assessments, the project will leverage the State Assessment\nSurvey or NAS and provide support to monitoring assessment and test administration in project areas\n(along with some control areas to compare outcomes) to ensure quality.\n\n- _<u>Project evaluation</u>_ <u>: The project will support a consolidated, cross-sectoral, mixed methods impact</u>\n\n\n\nevaluation with a counterfactual to assess the project’s impacts. Sampling strategy for the evaluation\nwill be in sync with the interdependency and convergence of multi-sectoral components under the\nproject. Key agriculture and livelihoods interventions will be evaluated using household surveys and\nsurveys with CLFs, PGs and POs.\n\n- _<u>Process monitoring</u>_ <u>: The analytical work on administrative data and project evaluation will be</u>\n\n\n\ncomplemented by periodic process monitoring rounds which collect quantitative data on\nimplementation processes as well as demand-driven qualitative data to unpack the quantitative\nevidence on implementation.\n\n- _<u>Capacity building for MLE</u>_ <u>: Implementing these MLE activities will require building in-house capacity in</u>\n\nthe PMU and PIUs. A technical support agency will be hired by the government to help strengthen the\nPMU’s capacity to commission and use evaluations. The agency will be the technical lead for all MLE\nrelated activities and will reinforce the culture of result-based management and evaluation in\n\nMention: \"NAS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Same assessment supporting test administration and outcome comparison with control areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003108:27:1", "occurrence_id": "f2c484e83544e2cbe0839088", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  will be piloted in project areas with the existing ICT-based MIS and\nexpanded based on practical learnings from the pilot.\n\n- _<u>School surveys</u>_ will be funded to assess the impact of input augmentation on outcomes - enrolment,\n\n\n\nteacher and student attendance, drop-outs, school governance (teachers’ attendance, lesson plans,\nschool maintenance etc.) and learning (to determine if TaRL and teaching training make a difference).\nIn the absence of individual learning level assessments, the project will leverage the State Assessment\nSurvey or NAS and provide support to monitoring assessment and test administration in project areas\n(along with some control areas to compare outcomes) to ensure quality.\n\n- _<u>Project evaluation</u>_ <u>: The project will support a consolidated, cross-sectoral, mixed methods impact</u>\n\n\n\nevaluation with a counterfactual to assess the project’s impacts. Sampling strategy for the evaluation\nwill be in sync with the interdependency and convergence of multi-sectoral components under the\nproject. Key agriculture and livelihoods interventions will be evaluated using household surveys and\nsurveys with CLFs, PGs and POs.\n\n- _<u>Process monitoring</u>_ <u>: The analytical work on administrative data and project evaluation will be</u>\n\n\n\ncomplemented by periodic process monitoring rounds which collect quantitative data on\nimplementation processes as well as demand-driven qualitative data to unpack the quantitative\nevidence on implementation.\n\n- _<u>Capacity building for MLE</u>_ <u>: Implementing these MLE activities will require building in-house capacity in</u>\n\nthe PMU and PIUs. A technical support agency will be hired by the government to help strengthen the\nPMU’s capacity to commission and use evaluations. The agency will be the technical lead for all MLE\nrelated activities and will reinforce the culture of result-based management and evaluation in\n\nMention: \"administrative data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Analytical work on administrative data complements process monitoring of implementation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003151:5:1", "occurrence_id": "b9247bb9433edd11c83c503a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  index score for\nEcuador in 2020 was 65.6 out of 100. This compares to 70.1 for Latin American and Caribbean countries, and 71.8\nfor IBRD countries (Figure 1). The main weaknesses of Ecuador's statistical capacity comprise: the outdated base\nyear of the national account system and the consumer price index; out-of-date methodologies for the import and\nexport prices indexes and for government finances accounting; the outmoded nature of the agricultural census\nand health survey; and the weak vital statistics system. The proposed project will cover most of the weaknesses\nhighlighted through the SCI.\n\n\n**Figure 1 Statistical Capacity Indicator – Ecuador**\n\n\nSource: Own estimations based on data from the World Bank's statistical capacity indicator, site\n\nhttps://datatopics.worldbank.org/statisticalcapacity/scidashboard.aspx\n\n\n**12.** **Despite the SCI score, the INEC has improved the quality of its data production and its role as NSS**\n**coordinator through the improvement of administrative data.** The INEC is one of the leaders in the Latin America\nand Caribbean region on statistical production through administrative data, having adopted the Nordic model as\na long-term strategy. Recently, the 50x2030 initiative has been adopted to improve agricultural surveys through\ninnovative modular surveys. The project will complement the implementation of the modular approach. This\ninitiative contributes toward the construction of relevant environmental indicators, some of which are part of the\n\n\nFeb 03, 2022 Page 6 of 13\n\nMention: \"Statistical Capacity Indicator\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Figure plotting Ecuador's score against regional and income-group averages.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003151:5:1", "occurrence_id": "ec4513ef8541c2564fd30541", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  index score for\nEcuador in 2020 was 65.6 out of 100. This compares to 70.1 for Latin American and Caribbean countries, and 71.8\nfor IBRD countries (Figure 1). The main weaknesses of Ecuador's statistical capacity comprise: the outdated base\nyear of the national account system and the consumer price index; out-of-date methodologies for the import and\nexport prices indexes and for government finances accounting; the outmoded nature of the agricultural census\nand health survey; and the weak vital statistics system. The proposed project will cover most of the weaknesses\nhighlighted through the SCI.\n\n\n**Figure 1 Statistical Capacity Indicator – Ecuador**\n\n\nSource: Own estimations based on data from the World Bank's statistical capacity indicator, site\n\nhttps://datatopics.worldbank.org/statisticalcapacity/scidashboard.aspx\n\n\n**12.** **Despite the SCI score, the INEC has improved the quality of its data production and its role as NSS**\n**coordinator through the improvement of administrative data.** The INEC is one of the leaders in the Latin America\nand Caribbean region on statistical production through administrative data, having adopted the Nordic model as\na long-term strategy. Recently, the 50x2030 initiative has been adopted to improve agricultural surveys through\ninnovative modular surveys. The project will complement the implementation of the modular approach. This\ninitiative contributes toward the construction of relevant environmental indicators, some of which are part of the\n\n\nFeb 03, 2022 Page 6 of 13\n\nMention: \"statistical capacity indicator\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Dashboard data used for the figure's own estimations, cited with its URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003152:11:1", "occurrence_id": "02546697acdbbef4a9499f31", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: tablets, telephone, web, and paper). It will gather personal\nidentification information to link the census information with other data sources, such as administrative\nrecords, among other innovations; _(ii) Strengthening the statistical production from surveys_ . This\ncomponent aims to improve data production and dissemination covering the Income and Expenditure\nSurvey, the Labor Force Survey, and the Agricultural Integrated Survey, plus updating statistical products\nbased on their results. This component will cover main data gaps for proper design of social programs\nand policies; _(iii) Strengthening statistical production from Administrative Records and the INEC’s_\n_managerial capacity_ . This component will enhance the statistical production, accessibility, and\ndissemination of administrative records; and _(iv) Project management, monitoring, and evaluation_ . The\nproject components and subcomponents (Table 2) were identified through discussions with the INEC and\nconsultation with key stakeholders of the NSS, civil society, non-governmental organizations (NGOs), and\ndevelopment partners. This approach will strengthen citizen ownership to support the sustainable\nimplementation of the project.\n\n\n**Table 2: Components and subcomponents of the project**\n\n|Component|Description|\n|---|---|\n|**Component 1:**|**Enhancing demographic information with the new Housing and Population Census**|\n|Activity 1.1|Completion of preparatory activities and cartography|\n|Activity 1.2|Data collection and data curation|\n|Activity 1.3|Innovations in the population census|\n|Activity 1.4|Quality in the population census|\n\n\n\nMar 28, 2022 Page 12 of 17\n\nMention: \"administrative\nrecords\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"curate\", \"summary\": \"Records to be linked to census information via personal identification data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003134:25:1", "occurrence_id": "703f21e809012404c750ec18", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and benefiting from improved<br>integrated flood risk management in Argentina|Col5|Col6|Col7|Col8|Col9|\n|---|---|---|---|---|---|---|---|---|\n|**Phase**|**Project**<br>** ID**|**Sequential**<br>**or**<br>**Simultaneous**|**Phase’s**<br>**Proposed PDO**|**IPF or**<br>**PforR**|**Estimated**<br>**Amount** <br>**($ million)**|**IBRD, IDA,**<br>**Other**|**Estimated Approval**<br>**Date**|**Estimated**<br>**E&S Risk**<br>**Rating**|\n|I|P178534|--|(i) To reduce<br>flood risk in<br>selected cities<br>and improve<br>integrated<br>urban flood risk<br>management in<br>Argentina, and<br>act effectively<br>in case of an<br>Eligible Crisis or|IPF|200.00|IBRD|April 2023|Moderate|\n\n\n\n31 INDEC (2010). National Census: Percentage of households and population with Unsatisfied Basic Needs (UBN) by province.\n32 INDEC (2022). Incidence of poverty and indigence in 31 urban agglomerations. Permanent Household Survey (Technical Report Vol. 6-\n\nMention: \"National Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census supplying unsatisfied basic needs shares by province.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003134:25:1", "occurrence_id": "6ef62be6eed9ddd4ce19104d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and benefiting from improved<br>integrated flood risk management in Argentina|Col5|Col6|Col7|Col8|Col9|\n|---|---|---|---|---|---|---|---|---|\n|**Phase**|**Project**<br>** ID**|**Sequential**<br>**or**<br>**Simultaneous**|**Phase’s**<br>**Proposed PDO**|**IPF or**<br>**PforR**|**Estimated**<br>**Amount** <br>**($ million)**|**IBRD, IDA,**<br>**Other**|**Estimated Approval**<br>**Date**|**Estimated**<br>**E&S Risk**<br>**Rating**|\n|I|P178534|--|(i) To reduce<br>flood risk in<br>selected cities<br>and improve<br>integrated<br>urban flood risk<br>management in<br>Argentina, and<br>act effectively<br>in case of an<br>Eligible Crisis or|IPF|200.00|IBRD|April 2023|Moderate|\n\n\n\n31 INDEC (2010). National Census: Percentage of households and population with Unsatisfied Basic Needs (UBN) by province.\n32 INDEC (2022). Incidence of poverty and indigence in 31 urban agglomerations. Permanent Household Survey (Technical Report Vol. 6-\n\nMention: \"Permanent Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies poverty and indigence incidence across 31 urban agglomerations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003108:10:3", "occurrence_id": "7274af79124697dd581ec57b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Assam|299,569|12.7|32.67|\n\n\nSource: NSDP and growth: Directorate of Economics & Statistics of the respective state governments and for all-India,\nNational Statistical Office; Multidimensional poverty rate: NITI Aayog Multidimensional Poverty Index Baseline report\n2021 (based on 2015–16 National Family Health Survey)\n\n\n4. **Situated in India’s NER, Tripura is a hilly and largely landlocked state surrounded in the north, west,**\n**and south by an international border with Bangladesh** . The state is connected to the rest of India by a\nsingle 22 km national highway which sees frequent disruptions caused by rains and landslides. Its terrain\n\n\n10 World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.\n\n11 As per Census 2011\n12 North-Eastern Region District SDG Index and Dashboard: Baseline Report 2021-22. Tripura ranks 19th out of 29 states in the\ncomposite score for SDGs and is an average ‘performer’ state. The positive SDG scores can be attributed to high literacy rates and\ngovernment’s long standing efforts to promote social sector schemes.\n13 The Act East Policy, a proactive turn to Look East Policy was initiated by the Indian government in 2014 and seeks to strengthen\neconomic, political, security and cultural ties between the NER and Southeast Asia and East Asia.\n\n\nPage 2 of 53\n\nMention: \"2015–16 National Family Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Microdata underlying the NITI Aayog multidimensional poverty baseline.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003108:10:3", "occurrence_id": "a87d78e2d1bb616ef3eeef96", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Assam|299,569|12.7|32.67|\n\n\nSource: NSDP and growth: Directorate of Economics & Statistics of the respective state governments and for all-India,\nNational Statistical Office; Multidimensional poverty rate: NITI Aayog Multidimensional Poverty Index Baseline report\n2021 (based on 2015–16 National Family Health Survey)\n\n\n4. **Situated in India’s NER, Tripura is a hilly and largely landlocked state surrounded in the north, west,**\n**and south by an international border with Bangladesh** . The state is connected to the rest of India by a\nsingle 22 km national highway which sees frequent disruptions caused by rains and landslides. Its terrain\n\n\n10 World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.\n\n11 As per Census 2011\n12 North-Eastern Region District SDG Index and Dashboard: Baseline Report 2021-22. Tripura ranks 19th out of 29 states in the\ncomposite score for SDGs and is an average ‘performer’ state. The positive SDG scores can be attributed to high literacy rates and\ngovernment’s long standing efforts to promote social sector schemes.\n13 The Act East Policy, a proactive turn to Look East Policy was initiated by the Indian government in 2014 and seeks to strengthen\neconomic, political, security and cultural ties between the NER and Southeast Asia and East Asia.\n\n\nPage 2 of 53\n\nMention: \"PLFS data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Periodic labour force survey supplying the state's employment estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003108:10:3", "occurrence_id": "34361386f97ebb0f636399dd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Assam|299,569|12.7|32.67|\n\n\nSource: NSDP and growth: Directorate of Economics & Statistics of the respective state governments and for all-India,\nNational Statistical Office; Multidimensional poverty rate: NITI Aayog Multidimensional Poverty Index Baseline report\n2021 (based on 2015–16 National Family Health Survey)\n\n\n4. **Situated in India’s NER, Tripura is a hilly and largely landlocked state surrounded in the north, west,**\n**and south by an international border with Bangladesh** . The state is connected to the rest of India by a\nsingle 22 km national highway which sees frequent disruptions caused by rains and landslides. Its terrain\n\n\n10 World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.\n\n11 As per Census 2011\n12 North-Eastern Region District SDG Index and Dashboard: Baseline Report 2021-22. Tripura ranks 19th out of 29 states in the\ncomposite score for SDGs and is an average ‘performer’ state. The positive SDG scores can be attributed to high literacy rates and\ngovernment’s long standing efforts to promote social sector schemes.\n13 The Act East Policy, a proactive turn to Look East Policy was initiated by the Indian government in 2014 and seeks to strengthen\neconomic, political, security and cultural ties between the NER and Southeast Asia and East Asia.\n\n\nPage 2 of 53\n\nMention: \"Census 2011\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census figures cited for the state's demographic baseline.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003152:7:0", "occurrence_id": "8f594a8e953c021f706ae0ba", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening the National Statistical System in Ecuador (P178564)\n\n\nothers, as data sources. In the context of Ecuador, although gender indicators are reported based on\nhousehold surveys, they do not cover all the requirements to monitor SGD 5. In addition, there is an\nincreasing focus on enhancing the quality of gender data, an area where there is room for improvement\nin Ecuador. For instance, measuring women’s productive work across paid and unpaid activities through\nimplementing the new definitions of work and employment put forward by the 19th International\nConference of Labor Statisticians (ICLS) in the Labor Force Survey.\n\n**14.** **Despite the SCI score, the INEC has improved the quality of its data production and its role as NSS**\n**coordinator by improving administrative data** . The INEC is one of the Latin America and Caribbean\nregion’s leaders on statistical production through administrative data, having adopted the Nordic model\nas a long-term strategy. Recently, the 50x2030 initiative has been adopted to improve agricultural surveys\nthrough innovative modular surveys. This project will complement the implementation of the modular\napproach. This initiative contributes to constructing relevant environmental indicators, some of which are\npart of the SDG environmental indicators. Additionally, some other organizational best practices and\ninnovative technologies for data management have been adopted. The new World Bank Statistical\nPerformance Indicator (SPI) captures new dimensions not included under the scope of the SCI, where\nEcuador scores higher than IBRD countries and its regional peers for the years 2016 and 2020 (Figure 2).\nThis is the case with dimensions such as data use, data services, geospatial data availability, data access,\nand legislation. The SPI considers more dimensions related to the performance of the INEC thanthe\nprevious SCI. Under the SPI, one of the weaknesses detected relates to data infrastructure. This captures\naspects such as: statistical legal framework; standards and methods addressing compliance with\nrecognized\n\nMention: \"household surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Surveys on which gender indicators are reported, though insufficient for SDG 5 monitoring.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003152:8:0", "occurrence_id": "9f7efb1aa2ba4759aaa44da2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening the National Statistical System in Ecuador (P178564)\n\n\n**15.** **Strengthening and improving Ecuador's national statistical capacity in producing and disseminating**\n**timely and high-quality statistics represents an essential input to evidence-based policymaking** . This\nproject will support the implementation of a new Housing and Population Census, the design of an\nupdated Labor Force Survey, and the collection of some modules of the Integrated Agricultural Survey,\namong other tasks. These activities will create the necessary data for updating the poverty line, the CPI,\nand the CFB. This new information will assess the effect of government policies such as taxes or minimum\nwage, assign resources from the central government to municipalities accordingly, and better inform\ngender policies, among other actions. The project will also enhance the use and dissemination of\ninformation generated with administrative data. In summary, the project aims to reduce current gaps in\nknowledge and information.\n\n**16.** **The project includes documenting lessons learned, updating quality control and data dissemination**\n**protocols, and redesigning some managerial and organizational processes under the United Nations**\n**Economic Commission for Europe (UNECE) models** . The project will promote the systematization of the\nlearning processes derived from its implementation and incorporate these processes into the INEC’s\norganizational and managerial model. The proposed project includes the documentation of lessons\nlearned from: innovations and improvements in data production; the elaboration of case studies; the\nimplementation of learning-by-doing processes; and the development of statistical quality protocols and\nprocedures. As a result of these lessons, some managerial and organizational processes will be redesigned\nin line with the UNECE models. The INEC’s methodological, technical, and research units will benefit from\nthis approach and will lead the adoption process of best practices. The project will align with the existing\nactivities led by the INEC under the work\n\nMention: \"administrative data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Project will enhance use and dissemination of information generated from administrative data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003157:7:1", "occurrence_id": "d14153a8844dd442bd44d438", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Regional\nAgricultural Information Systems”. This sub-component is currently implementing DACAS investments under FSRP.\n\nThe additional activities to be financed exclusively by the AF under sub-component 1.1 include:\n\n\na. **Deploying sustainable, cost-effective technologies to enhance the region’s ability to collect, harmonize, and**\n\n**analyze key datasets for early warning.** The AF will support the deployment of advanced ICT and data systems\nto strengthen DACAS. This includes hardware (servers, workstations, storage, monitors, UPS), satellite imagery\nvalidated by field sensors, specialized software (ENVI, ArcGIS, SimClim), and cloud-based platforms (AWS) for\nsecure, real-time data sharing. Consultancies will focus on harmonizing Earth observation data, monitoring\nagricultural conditions, modeling climate scenarios, and conducting socio-economic assessments.\n\nb. **Building institutional and human capacity to manage systems and use data effectively following the**\n\n**deployment of these technologies.** The AF will support tailored, hands-on training for technical staff and\ndecision-makers to improve their ability to use satellite and field data for early warning on crops, rangelands, and\npests. Training will align with institutional mandates and promote standardized tools across member states, using\nregion-specific materials that reflect local conditions.\n\nc. **Strengthening coordination, interoperability, and governance of early warning systems in recognition of the**\n\n**cross-border nature of climate and food security shocks.** The project will promote collaborative frameworks for\ndata sharing, joint planning, and decision-making among IGAD member states and relevant regional bodies. It\nwill also support the integration of advanced analytics into policy processes to ensure early warning outputs\ninform crisis response, strategic resource allocation, and long-term development planning.\n\n18. **Components 2, 3 and 4.** Components 2, 3, and 4 will each retain\n\nMention: \"satellite and field data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Data whose use for crop, rangeland and pest early warning staff will be trained on.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003196:12:2", "occurrence_id": "4c47bbe302a13ba1e33920f2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  low, respectively.\nSimilarly, the risk of cyclones is considered low with one category I hurricane since 1892. <sup>9</sup> Factors such as rapid ruralurban and inter-island migration, continuous land degradation, persistent poverty (especially among the rural\npopulation), and high indebtedness further exacerbate the country’s vulnerability to such climate and natural threats.\nFor instance, the country’s low-lying coastlines, vital for the local tourism industry and home to approximately 80\npercent of the population, are highly prone to coastal flooding and erosion from storm surge and rising sea levels. <sup>10</sup> [^10: Government of Cabo Verde. 2021. _2020 Update to the first Nationally Determined Contribution (NDC)._ Praia, Cabo Verde. Available at:\n_<u>https://www.greengrowthknowledge.org/sites/default/files/downloads/policy-database//Cabo%20Verde_NDC%20Update%202021.pdf</u>_]\n\n\n1 INE Census 2021.\n2 World Bank. 2019. _Cabo Verde Public Expenditure Review: Revisiting the Efficiency of Public Spending to Reduce Debt and_\n_Improve Education and Health Outcomes._ Washington, DC: World Bank.\n3 <u>World Bank Data, as of October 30, 2023</u>\n4 National Institute of Statistics ( _Instituto Nacional de Estatisticas_ <u>INE) 2015-2022 data.</u>\n5 World Bank, May 2023. Cabo Verde: Country Economic Update.\n6 World Bank, May 2023. Cabo Verde: Country Economic Update.\n7 Poverty rate fell from 20.1 percent in 2021 to 19.3 percent in 2022 (using US$3.65 per-day-2017 PPP), reaching the poverty levels of 2015.\n8 World Bank, May 2023. Cabo Verde: Country Economic Update.\n9 Disaster Risk Profile: Cabo Verde; GFDRR, World Bank Group; 2019. URL: https://documents1.worldbank.org/curated/en/523961573390033686/\n\nMention: \"INE Census 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census cited as the first source for the population and settlement figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003196:12:2", "occurrence_id": "18a7ec4399302c51c58e2808", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  low, respectively.\nSimilarly, the risk of cyclones is considered low with one category I hurricane since 1892. <sup>9</sup> Factors such as rapid ruralurban and inter-island migration, continuous land degradation, persistent poverty (especially among the rural\npopulation), and high indebtedness further exacerbate the country’s vulnerability to such climate and natural threats.\nFor instance, the country’s low-lying coastlines, vital for the local tourism industry and home to approximately 80\npercent of the population, are highly prone to coastal flooding and erosion from storm surge and rising sea levels. <sup>10</sup> [^10: Government of Cabo Verde. 2021. _2020 Update to the first Nationally Determined Contribution (NDC)._ Praia, Cabo Verde. Available at:\n_<u>https://www.greengrowthknowledge.org/sites/default/files/downloads/policy-database//Cabo%20Verde_NDC%20Update%202021.pdf</u>_]\n\n\n1 INE Census 2021.\n2 World Bank. 2019. _Cabo Verde Public Expenditure Review: Revisiting the Efficiency of Public Spending to Reduce Debt and_\n_Improve Education and Health Outcomes._ Washington, DC: World Bank.\n3 <u>World Bank Data, as of October 30, 2023</u>\n4 National Institute of Statistics ( _Instituto Nacional de Estatisticas_ <u>INE) 2015-2022 data.</u>\n5 World Bank, May 2023. Cabo Verde: Country Economic Update.\n6 World Bank, May 2023. Cabo Verde: Country Economic Update.\n7 Poverty rate fell from 20.1 percent in 2021 to 19.3 percent in 2022 (using US$3.65 per-day-2017 PPP), reaching the poverty levels of 2015.\n8 World Bank, May 2023. Cabo Verde: Country Economic Update.\n9 Disaster Risk Profile: Cabo Verde; GFDRR, World Bank Group; 2019. URL: https://documents1.worldbank.org/curated/en/523961573390033686/\n\nMention: \"World Bank Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"World Bank series cited as of 30 October 2023 for the comparative indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003196:12:2", "occurrence_id": "f1aba1ffe94ec812c31965a3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  low, respectively.\nSimilarly, the risk of cyclones is considered low with one category I hurricane since 1892. <sup>9</sup> Factors such as rapid ruralurban and inter-island migration, continuous land degradation, persistent poverty (especially among the rural\npopulation), and high indebtedness further exacerbate the country’s vulnerability to such climate and natural threats.\nFor instance, the country’s low-lying coastlines, vital for the local tourism industry and home to approximately 80\npercent of the population, are highly prone to coastal flooding and erosion from storm surge and rising sea levels. <sup>10</sup> [^10: Government of Cabo Verde. 2021. _2020 Update to the first Nationally Determined Contribution (NDC)._ Praia, Cabo Verde. Available at:\n_<u>https://www.greengrowthknowledge.org/sites/default/files/downloads/policy-database//Cabo%20Verde_NDC%20Update%202021.pdf</u>_]\n\n\n1 INE Census 2021.\n2 World Bank. 2019. _Cabo Verde Public Expenditure Review: Revisiting the Efficiency of Public Spending to Reduce Debt and_\n_Improve Education and Health Outcomes._ Washington, DC: World Bank.\n3 <u>World Bank Data, as of October 30, 2023</u>\n4 National Institute of Statistics ( _Instituto Nacional de Estatisticas_ <u>INE) 2015-2022 data.</u>\n5 World Bank, May 2023. Cabo Verde: Country Economic Update.\n6 World Bank, May 2023. Cabo Verde: Country Economic Update.\n7 Poverty rate fell from 20.1 percent in 2021 to 19.3 percent in 2022 (using US$3.65 per-day-2017 PPP), reaching the poverty levels of 2015.\n8 World Bank, May 2023. Cabo Verde: Country Economic Update.\n9 Disaster Risk Profile: Cabo Verde; GFDRR, World Bank Group; 2019. URL: https://documents1.worldbank.org/curated/en/523961573390033686/\n\nMention: \"2015-2022 data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National statistics series 2015–2022 behind the poverty and welfare trends.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003200:4:2", "occurrence_id": "3deb408ec14c49f0aebfcf96", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  high spatial and temporal variability\nof water resources aggravated by the occurrence of more frequent and severe droughts and floods. Despite high\npotential for storage, Mozambique has one of the lowest storage capacities of renewable water in the world, at only 0.3\n\n\n16 World Bank. 2022. Data Portal. Urban population growth (annual percent) – Mozambique. _link:_\n_https://data.worldbank.org/indicator/SP.URB.GROW?locations=MZ_\n17 Two state agencies are responsible for investments in water supply in the urban space, the Water Supply Asset Holding and Investment Fund\n( _Fundo de Investimento e Património do Abastecimento de Água_, FIPAG) in main cities; and the Water and Sanitation Infrastructure Administration\n( _Administração das Infra-estruturas de Água e Saneamento_, AIAS) in secondary cities.\n18 A Survey conducted by the National Directorate of Water Supply and Sanitation in 2018, identified 1,830 PWP supplying water to 1.8 million\npeople through piped connections mainly in urban areas from the Southern Region, with more than 75 percent of total share of this business,\nnearly 1.4 million in the Greater Maputo Region.\n19 INE 2020. Results from the Census 2017.\n20 AURA 2022. Service Regulation Report for year 2019.\n21Only 20 percent of the private water supply systems were licensed by the end 2019.\n22 The tariff updates from November 2021 fixed the PWP tariff in 70 MT per cubic meter for system connected to the power grid and 80 MT per\ncubic meter for systems powered by diesel generators (Resolution 3/2021 from AURA). The average tariff for the Greater Maputo Region for the\npublic utility was fixed at 46.28 MT per cubic meter (Resolution 2/2021 from AURA).\n23 A performance compounded index below 50 percent is considered low and attributed the lowest rating\n\nMention: \"Census 2017\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census results behind the water-service population denominators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003200:3:4", "occurrence_id": "4d98c197bacfa87a8107ab51", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: YWdlZENyaXRlcmlhIjpbXSwibGFkZGVyVHlwZSI6InNlcnZpY2VMZXZlbCIsImJhc2ljU2VydmljZXNPbmx5IjpmYWxzZSwicmVzaWRlbmNlIjpbInJ1cmFsIiwidXJiYW4iXSwieWVhciI6WzIwMjBdLCJnZW9ncmFwaHkyIjpbXSwibGF0ZXN0WWVhciI6ZmFsc2UsImdlb2dyYXBoeTEiOlsiTU9aIl0sInRhcmdldENvdmVyYWdlIjowfSwiaWQiOiJuZXctMCJ9XX0)\n12 According to the Service Regulation Report for 2019 (AURA 2022) the highest level of use of standpipes of 26 percent of the urban population\nwas registered in Nampula and Angoche cities.\n13 INE 2021. Results from the Households Budget Survey 2019/20.\n14 A single water system can provide water services to contiguous cities. This is the case of the Greater Maputo system which provides access to\nMaputo and Matola, the most populated urban centers of the country.\n15 AURA 2022. Service Regulation Report for year 2019.\n\n\nMay 19, 2022 Page 4 of 14\n\nMention: \"Service Regulation Report for 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Regulator report showing 26 percent urban standpipe use in Nampula and Angoche.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003200:3:4", "occurrence_id": "3aabc7076a1c99225a42d2b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: YWdlZENyaXRlcmlhIjpbXSwibGFkZGVyVHlwZSI6InNlcnZpY2VMZXZlbCIsImJhc2ljU2VydmljZXNPbmx5IjpmYWxzZSwicmVzaWRlbmNlIjpbInJ1cmFsIiwidXJiYW4iXSwieWVhciI6WzIwMjBdLCJnZW9ncmFwaHkyIjpbXSwibGF0ZXN0WWVhciI6ZmFsc2UsImdlb2dyYXBoeTEiOlsiTU9aIl0sInRhcmdldENvdmVyYWdlIjowfSwiaWQiOiJuZXctMCJ9XX0)\n12 According to the Service Regulation Report for 2019 (AURA 2022) the highest level of use of standpipes of 26 percent of the urban population\nwas registered in Nampula and Angoche cities.\n13 INE 2021. Results from the Households Budget Survey 2019/20.\n14 A single water system can provide water services to contiguous cities. This is the case of the Greater Maputo system which provides access to\nMaputo and Matola, the most populated urban centers of the country.\n15 AURA 2022. Service Regulation Report for year 2019.\n\n\nMay 19, 2022 Page 4 of 14\n\nMention: \"Households Budget Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2019/20 household survey supplying expenditure and access data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003200:9:1", "occurrence_id": "612494cb16286425a005fec5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  achieve the PDO, the project will finance five components:\n\n\n**Component 1 – Priority investments to secure water at the source (US$40 million equivalent)**\n\n\n25. **This component will focus on improving integrated water resource development and management to secure**\n**water availability in both quantity and quality to meet the increasing urban demand in the Southern region.** It will also\nfocus on increasing the resilience of existing key water storage infrastructure and groundwater management. Key\nactivities to be supported under this component includes: (i) strategic support to ARA-SUL <sup>38</sup> [^38: ARA-SUL is the Government authority in charge of water resources management in the South of Mozambique. They have one central\noffice in Maputo and four field offices for each of the main basin: (i) Umbeluzi and Maputo (in charge of Pequenos Libombos dam); (ii)\nIncomati (in charge of Corrumana dam); (iii) Limpopo (in charge of Massingir dam); and (iv) Sabie. They have approximately 400 staff,\nhave been managing water resources since the 1980s and is considered a “Category A” agency. They have an operation water resources\ninformation systems and a database of main users with a recovery system operational.] in order to fulfill its mandate\nand to continue securing water for the main cities of the south ( _including training of staff, technical assistance, exchange_\n_experiences with other countries and improvement of their facilities to become a reference center in the Southern Africa_\n_region_ ), (ii) water resources monitoring and maintenance plans for the four dams (Corumana, Pequenos Libombos,\nMassingir, and Macarretane) operated by ARA-Sul; (iii) strengthening watershed and sediment management to reduce\ngroundwater depletion and mitigate the deterioration of water quality and reduction of flows observed in the selected\nsites; (iv) extension and modernization of the surface and groundwater monitoring network in aquifers serving the main\nurban centers from the Southern Region that rely on groundwater to meet the\n\nMention: \"surface and groundwater monitoring network\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Monitoring network to be extended and modernised for aquifers serving southern urban centres.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003199:2:0", "occurrence_id": "5aa9e0e4de3c6763eb0792df", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBurkina Faso Emergency Local Development Project-Additional Financing (P178650)\n\n\n\n\n\n\n|World Bank Group Financing|Col2|\n|---|---|\n|International Development Association (IDA)|123.00|\n|IDA Credit|123.00<br>|\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n\n1. **Burkina Faso has one of the fastest growing, poorest, and most vulnerable populations in the world** . With\nan annual growth rate of 3.1 percent, the population is expected to reach 42 million by 2050. But limited\nopportunities for youth and gender‐related inequalities prevent Burkina Faso from reaping the demographic\ndividend. The Covid-19 shock and associated economic downturn have reversed recent progress made in\npoverty reduction. Economic growth was resilient over 2016-2019, averaging 6.1 percent. In the wake of the\nCovid-19 shock, real Gross Domestic Product (GDP) only rose by 1.9 percent (-1 percent in per capita terms)\nin 2020. The extreme poverty rate measured by the US$1.9 a day (2011 PPP) poverty line was 38 percent in\n2019 with an upward trend. This increase in the poverty rate combined with the fast population growth\npushed an additional 330,000 people into extreme poverty. Findings from eight waves of high frequency\nsurveys conducted between 2020 and 2021 suggest that the pandemic negatively impacted economic\nactivities and led to an increase in unemployment and a sharp reduction in household incomes. With fewer\nor no sources of income, many households were not able to make ends meet, and about 50 percent of the\ninterviewees reported that they could no longer meet their dietary needs.\n\n2. **Burkina Faso is experiencing a multi-dimensional crisis driven by climate change, rising food prices, political**\n**instability, and conflict, leading to a deterioration in food and nutrition\n\nMention: \"high frequency\nsurveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Eight survey waves showing pandemic effects on activity, unemployment and household income.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003233:3:0", "occurrence_id": "d6e67c9bfdfef95ab93cbf9e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nClimate Resilience and Agriculture Development Project (P178715)\n\n\nitems have in the consumption basket of the poor. The exchange rate against the euro appreciated by 3.7 percent\nin July, which restrained the transmission of imported inflation into the domestic economy. In addition, regulated\nprices of energy for business and consumers as well as temporary controlled prices for transport fuels and key\nfood items have redistributed the burden of global price increases and prevented a full transmission to domestic\ninflation. Yet, these also had a negative fiscal impact <sup>2</sup> [^2: World Bank. 2022. Western Balkans Regular Economic Report, No.22, Fall 2022: Beyond the Crises. Washington, DC.] . Although Albania’s direct trade, remittance, and migration\nlinkages with Russia and Ukraine are limited, Russia and Ukraine are key producers and exporters of several\ncommodities which are of vital importance for Albanians including grains and fertilizers. Supply shortages and\nhigher prices of energy are affecting the agri-food production and value addition activities due to increases in\ncosts of agricultural inputs, irrigation and drainage, processing, transportation, storage, thereby affecting what\nis and can be produced, reducing the profit margins of farmers and agribusiness. All of these could dim Albania’s\ngrowth prospects. In turn, a sluggish job market combined with diminished purchasing power could dampen\npoverty reduction. In this context, the proposed project will design specific activities such as supporting short\nfood value chains development, installation of Solar Photovoltaics, development of Climate Smart Agriculture IT\nPlatform, among many other activities, aiming to contribute to the mitigation of food and energy crisis.\n\n\nSectoral and Institutional Context\n\n\n4. **Agriculture is a key sector in the Albanian economy, contributing 19 percent to GDP and 36 percent to**\n**total employment in 2020** <sup>**3**</sup> [^3: Institute of Statistics (INSTAT). Albania in Figures, 2020.] *\n\nMention: \"Albania in Figures\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies agriculture's 19 percent GDP and 36 percent employment shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003205:27:2", "occurrence_id": "6a911e81503fc833929c43d3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  will be tailored to specific sectors (for example, agribusiness, tourism, and\ntransport).\n69 These include the joint World Bank-IFC CPSD, which provides analysis on key sectors with demonstrated catalyst potential for\ngrowth; World Bank Group Enterprise Surveys, including on the informal sector and two rounds of follow-up surveys during COVID-19\nto understand the main constraints to productivity; Subnational Doing Business; Investment Policy and Promotion Assessment and\nplanned Investment Promotion Strategy; the Recovery and Peace Building Assessment to identify sources of fragility and possible\n\n\nPage 23 of 71\n\nMention: \"joint World Bank-IFC CPSD\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Diagnostic analysing sectors with catalyst potential for growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003205:27:2", "occurrence_id": "8d5e7e3e4afa95b1a99702e2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  will be tailored to specific sectors (for example, agribusiness, tourism, and\ntransport).\n69 These include the joint World Bank-IFC CPSD, which provides analysis on key sectors with demonstrated catalyst potential for\ngrowth; World Bank Group Enterprise Surveys, including on the informal sector and two rounds of follow-up surveys during COVID-19\nto understand the main constraints to productivity; Subnational Doing Business; Investment Policy and Promotion Assessment and\nplanned Investment Promotion Strategy; the Recovery and Peace Building Assessment to identify sources of fragility and possible\n\n\nPage 23 of 71\n\nMention: \"World Bank Group Enterprise Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Enterprise surveys including informal sector and COVID follow-ups on productivity constraints.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003196:49:3", "occurrence_id": "baba1d9476224f7b818a35c1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >from INE 2021. Census. <br>**Average dwelling size:** Considering the national average dwelling size (45 m2) for all interventions. Data from the Center<br>for Affordable Housing Africa (2021).<br>**Average property value:** Using the price per square meter to buy an apartment outside of the center in Mindelo for all<br>interventions (US$645 per m2). Data from Numbeo (2023).<br>**Property value growth:** A 5.5 percent rate was considered based on the application of the hedonic pricing model in a<br>project that aimed to recover the Coastal Front of the Paraná River in Rosario, Argentina.|\n|B2. Increase on<br>economic activity|**Annual production value (US$)** = Annual total businesses sales (US$) per municipality x 20 percent<br>**Benefit (US$)** = Annual production value (US$) x Growth production value (%)<br>**Assumptions:**|\n\n\n\n59 The discount rate was calculated based on the risk-adjusted opportunity cost of capital.\n\n\n\nPage 38\n\nMention: \"INE 2021. Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Census supplying household data in the housing project's financial assumptions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003196:49:3", "occurrence_id": "8f43553e61bf3b68671a44de", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >from INE 2021. Census. <br>**Average dwelling size:** Considering the national average dwelling size (45 m2) for all interventions. Data from the Center<br>for Affordable Housing Africa (2021).<br>**Average property value:** Using the price per square meter to buy an apartment outside of the center in Mindelo for all<br>interventions (US$645 per m2). Data from Numbeo (2023).<br>**Property value growth:** A 5.5 percent rate was considered based on the application of the hedonic pricing model in a<br>project that aimed to recover the Coastal Front of the Paraná River in Rosario, Argentina.|\n|B2. Increase on<br>economic activity|**Annual production value (US$)** = Annual total businesses sales (US$) per municipality x 20 percent<br>**Benefit (US$)** = Annual production value (US$) x Growth production value (%)<br>**Assumptions:**|\n\n\n\n59 The discount rate was calculated based on the risk-adjusted opportunity cost of capital.\n\n\n\nPage 38\n\nMention: \"Data from Numbeo\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Crowd-sourced price data giving the per-square-metre apartment price used for property values.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003233:7:0", "occurrence_id": "2b158bedfab061dd345ce544", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nClimate Resilience and Agriculture Development Project (P178715)\n\n\nrequirements, which could help Albania to confront the challenge of pandemic preparedness and building\nresilience to the threats associated with increased regional movement and trade; (iv) the development of IT\nPlatforms on Climate Smart Agriculture and Business Intelligence to collect all the relevant information such as\nsoil type, hydrometeorological data, agriculture practices (e.g., use of fertilizers, pesticides, irrigation, etc.), and\nto guide evidence-based decision making for more resilient and sustainable agri-food systems respectively.\n\n\n**C. Proposed Development Objective(s)**\n\nDevelopment Objective(s) (From PAD)\nThe Project Development Objective is to increase competitiveness and climate resilience of priority agri-food value\nchains.\n\n\nKey Results\n16. **Key indicators to measure the achievement of the PDO will include:**\n(i) Sales of agricultural produce from farmers through the Micro Food Hubs and clusters. (Metric Tons)\n(ii) Percentage of farmers connected to the pressurized and on-demand public irrigation service\n\n(Percentage)\n(iii) Percentage of total energy consumption of irrigation and drainage schemes covered by renewable energy\n\ngenerated by the project (Percentage)\n(iv) Number of methods allowing for reliable analyses of food, feed and plants in the areas of food safety,\n\nveterinary and plant health as specified by relevant international standards and EU legislation, accredited\nat the National Reference Laboratory. (Number)\n\n\n**D. Project Description**\n\n\n17. The proposed project includes the following four components:\n\n18. **Component 1: Promoting Climate Smart Agriculture and Access to Markets (US$44 million).** This\ncomponent aims at supporting resilient and climate smart agriculture, productivity and quality improvements\nand improving market access through investments to shorten value chains, strengthen resilience of food supply,\nintroduce digital technology and develop a modern and reliable irrigation delivery services and drainage network\nfor high-value agricultural\n\nMention: \"hydrometeorological data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Data to be collected on a climate-smart agriculture platform for evidence-based decisions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003252:14:0", "occurrence_id": "d3107c279bdf7d2c48b7bed7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAfghanistan Community Resilience and Livelihoods Project (P178760)\n\n\nthe elderly, and IDPs. <sup>10</sup> [^10: According to ARTF’s independent Monitoring Agent (MA) for the COVID-19 response in 2020-2021 and based upon door-to-door surveys,\nthe program reached 99 percent of female-headed households (sample size of 8,450), 96 percent of households headed by a person with\ndisabilities (sample size of 5,000), 92 percent of IDP households (sample size of 17,205) and 91 percent of elderly households (sample size of\n14,397). See Monitoring Agent. 2022. _COVID-19 Response: CCAP/REACH Monitoring, Q3 2021 Final Project Report._ February.] Working with well-established and known CDCs offers the Bank and other humanitarian\nactors a channel to reach the most vulnerable directly without interacting with the ITA.\n\n\n16. **CDCs have also proven especially effective as an entry point for supporting women.** The framework of CDCs\nhas contributed to improving women’s livelihoods and helping them gain access to basic services such as clean water,\nhealth and education. CDCs and their subcommittees for health, education and youth provide a safe space for women\nto meet which is especially important given increased mobility constraints. CDCs have provided a forum for women\nto engage, receive information, and access services.\n\n\n17. **CDCs are currently operating in the majority of provinces although there is variation across and within**\n**provinces, according to reports from humanitarian actors on the ground.** Two WB-sponsored rapid surveys in\nFebruary 2022 indicate that CDCs are still active and, in many cases, helping to coordinate assistance in their\ncommunities. The first survey is a key informant survey of 356 Afghanistan humanitarian and development actors at\nthe central, provincial and district levels. The second survey is an anonymous online survey of 19 international and\nnational NGO partners engaged previously under WB/ARTF-supported Citizens’ Charter Afghanistan Project (CCAP).\n\nMention: \"WB-sponsored rapid surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Two rapid surveys indicating community development councils remain active and coordinating assistance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003252:14:0", "occurrence_id": "b296d5870fdee4b5f00863a7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAfghanistan Community Resilience and Livelihoods Project (P178760)\n\n\nthe elderly, and IDPs. <sup>10</sup> [^10: According to ARTF’s independent Monitoring Agent (MA) for the COVID-19 response in 2020-2021 and based upon door-to-door surveys,\nthe program reached 99 percent of female-headed households (sample size of 8,450), 96 percent of households headed by a person with\ndisabilities (sample size of 5,000), 92 percent of IDP households (sample size of 17,205) and 91 percent of elderly households (sample size of\n14,397). See Monitoring Agent. 2022. _COVID-19 Response: CCAP/REACH Monitoring, Q3 2021 Final Project Report._ February.] Working with well-established and known CDCs offers the Bank and other humanitarian\nactors a channel to reach the most vulnerable directly without interacting with the ITA.\n\n\n16. **CDCs have also proven especially effective as an entry point for supporting women.** The framework of CDCs\nhas contributed to improving women’s livelihoods and helping them gain access to basic services such as clean water,\nhealth and education. CDCs and their subcommittees for health, education and youth provide a safe space for women\nto meet which is especially important given increased mobility constraints. CDCs have provided a forum for women\nto engage, receive information, and access services.\n\n\n17. **CDCs are currently operating in the majority of provinces although there is variation across and within**\n**provinces, according to reports from humanitarian actors on the ground.** Two WB-sponsored rapid surveys in\nFebruary 2022 indicate that CDCs are still active and, in many cases, helping to coordinate assistance in their\ncommunities. The first survey is a key informant survey of 356 Afghanistan humanitarian and development actors at\nthe central, provincial and district levels. The second survey is an anonymous online survey of 19 international and\nnational NGO partners engaged previously under WB/ARTF-supported Citizens’ Charter Afghanistan Project (CCAP).\n\nMention: \"key informant survey of 356 Afghanistan humanitarian and development actors\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"First rapid survey covering central, provincial and district actors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003252:14:0", "occurrence_id": "f09ddc49c0957ac52f978a18", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAfghanistan Community Resilience and Livelihoods Project (P178760)\n\n\nthe elderly, and IDPs. <sup>10</sup> [^10: According to ARTF’s independent Monitoring Agent (MA) for the COVID-19 response in 2020-2021 and based upon door-to-door surveys,\nthe program reached 99 percent of female-headed households (sample size of 8,450), 96 percent of households headed by a person with\ndisabilities (sample size of 5,000), 92 percent of IDP households (sample size of 17,205) and 91 percent of elderly households (sample size of\n14,397). See Monitoring Agent. 2022. _COVID-19 Response: CCAP/REACH Monitoring, Q3 2021 Final Project Report._ February.] Working with well-established and known CDCs offers the Bank and other humanitarian\nactors a channel to reach the most vulnerable directly without interacting with the ITA.\n\n\n16. **CDCs have also proven especially effective as an entry point for supporting women.** The framework of CDCs\nhas contributed to improving women’s livelihoods and helping them gain access to basic services such as clean water,\nhealth and education. CDCs and their subcommittees for health, education and youth provide a safe space for women\nto meet which is especially important given increased mobility constraints. CDCs have provided a forum for women\nto engage, receive information, and access services.\n\n\n17. **CDCs are currently operating in the majority of provinces although there is variation across and within**\n**provinces, according to reports from humanitarian actors on the ground.** Two WB-sponsored rapid surveys in\nFebruary 2022 indicate that CDCs are still active and, in many cases, helping to coordinate assistance in their\ncommunities. The first survey is a key informant survey of 356 Afghanistan humanitarian and development actors at\nthe central, provincial and district levels. The second survey is an anonymous online survey of 19 international and\nnational NGO partners engaged previously under WB/ARTF-supported Citizens’ Charter Afghanistan Project (CCAP).\n\nMention: \"anonymous online survey of 19 international and\nnational NGO partners\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Second rapid survey of NGO partners previously engaged under the citizens' charter project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003268:2:0", "occurrence_id": "ed921f53775ae38e0cf21dc5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWater Saving and Low Carbon Paddy Rice Program (P178796)\n\n\n<mark>The review did authorize the preparation to continue</mark>\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n\n1. **Over the past four decades, China has seen remarkable economic development.** Rapid economic ascendence of\nChina over the past four decades has led to a nearly 30-fold increase in per capita income, which elevates the country to\nthe world second largest economy. The Government declared in early 2021 that it had achieved the goal of eliminating\nextreme poverty, well ahead of the target year (2030) for the Sustainable Development Goals. In addition to\nindustrialization and urbanization, rapid agricultural productivity growth has contributed significantly to these\nunprecedented achievements. The country’s average annual growth rates of agricultural output value and agricultural\nGDP were 5.3 percent and 4.5 percent respectively over the past forty years. China has produced enough food and fiber\nto feed one fifth of the world population with 9 percent of the world’s farmland and 6 percent of world’s freshwater\nresources, which is a remarkable achievement.\n\n\n2. **However, China’s fast agricultural growth has been accompanied with mounting environmental costs.** This\ngrowth was driven mainly by increases in total factor productivity, technological changes, and large producer subsidies\nprovided mainly for rice, wheat and maize production. However, this has come at high environmental costs. These include\nhigh greenhouse gas (GHG) emissions, excessive water use and environmental pollution among others. Agriculture ranks\nNo. 5 among GHG emission contributing sectors and accounts for 6 percent of the total GHG emission in China, amounting\nto 792 Mt CO2e per year (China CCDR, World Bank 2022). Agricultural production relies heavily on irrigation and accounts\nfor some 60 percent of the total water uses, which puts increasing pressure on the rivers, lakes and groundwater systems.\nThe agricultural water productivity of\n\nMention: \"China CCDR\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of agriculture's 6 percent GHG share and 792 Mt CO2e annual emissions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003252:12:1", "occurrence_id": "1d087750076b70044aa6d4c5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in earnings. This is consistent\nwith reported lags in the payment of salaries. <sup>5</sup> [^5: World Bank Group. 2022. _Afghanistan Welfare Monitoring Survey, Round 1_ . January. Washington, DC.] Over 500,000 Afghan security force members have lost their jobs\nwhile many civil servants, who comprise a significant proportion of the urban population, have been unpaid since\nAugust 2021. Surveys show a 50 percent reduction in households receiving remittances, a critical coping mechanism\nfor many Afghans. The local private sector contracting capacity that has been built over the past two decades also\nfaces an existential threat due to the lack of opportunities that exist because of the sudden halt of development work.\nUp to 80 percent of economic activity in Afghanistan is estimated to be in the informal sector which is also impacted\nheavily by the liquidity crisis, drought conditions, COVID-19 crisis, and lack of access to basic services. WFP’s market\nand price monitoring showed a drastic decline in the number of days that work is available for casual labor in urban\nareas. These were two days per week in July 2021, dropping to 1.8 days in August, and to only one day of work in\nSeptember, a level which is 50 percent lower compared to both July 2021 and September 2020. According to the\n2021 Seasonal Food Security Assessment, 95 percent of the population reported reduced incomes, out of which 76\npercent reported a significant decrease (83 percent for urban and 72 percent for rural households) compared to the\nprevious year. The main reasons for decreased income were reduced employment (42 percent) and conflict (41\npercent). <sup>6</sup> [^6: Integrated Food Security Phase Classification. 2021. _IPC Acute Food Insecurity Analysis, September 2021 - March 2022._]\n\n\n11. **Basic service delivery also remains vitally needed during this time of crisis,** with approximately 30-40\npercent of rural populations still in need of clean water sources.\n\nMention: \"market\nand price monitoring\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"WFP monitoring showing casual work days fell from two per week to one by September 2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003252:12:1", "occurrence_id": "5f7a38b1f748faa8fc76e9d8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in earnings. This is consistent\nwith reported lags in the payment of salaries. <sup>5</sup> [^5: World Bank Group. 2022. _Afghanistan Welfare Monitoring Survey, Round 1_ . January. Washington, DC.] Over 500,000 Afghan security force members have lost their jobs\nwhile many civil servants, who comprise a significant proportion of the urban population, have been unpaid since\nAugust 2021. Surveys show a 50 percent reduction in households receiving remittances, a critical coping mechanism\nfor many Afghans. The local private sector contracting capacity that has been built over the past two decades also\nfaces an existential threat due to the lack of opportunities that exist because of the sudden halt of development work.\nUp to 80 percent of economic activity in Afghanistan is estimated to be in the informal sector which is also impacted\nheavily by the liquidity crisis, drought conditions, COVID-19 crisis, and lack of access to basic services. WFP’s market\nand price monitoring showed a drastic decline in the number of days that work is available for casual labor in urban\nareas. These were two days per week in July 2021, dropping to 1.8 days in August, and to only one day of work in\nSeptember, a level which is 50 percent lower compared to both July 2021 and September 2020. According to the\n2021 Seasonal Food Security Assessment, 95 percent of the population reported reduced incomes, out of which 76\npercent reported a significant decrease (83 percent for urban and 72 percent for rural households) compared to the\nprevious year. The main reasons for decreased income were reduced employment (42 percent) and conflict (41\npercent). <sup>6</sup> [^6: Integrated Food Security Phase Classification. 2021. _IPC Acute Food Insecurity Analysis, September 2021 - March 2022._]\n\n\n11. **Basic service delivery also remains vitally needed during this time of crisis,** with approximately 30-40\npercent of rural populations still in need of clean water sources.\n\nMention: \"2021 Seasonal Food Security Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Assessment in which 95 percent reported reduced incomes, 76 percent significantly.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003288:2:1", "occurrence_id": "69cb2f09d92031e181729c3a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , at 52 percent. <sup>4</sup> Inequality, as measured by the\nGini index, decreased slightly between 2011 and 2019, but remains one of the highest rates in the sub- region. <sup>5</sup> The fallout\nfrom the war in Ukraine has led to the acceleration of inflation with dire consequences for the living standards of the\npopulation, especially the poor.\n\n\n**4.** **Togolese households face overlapping crises rendering large portions of the population vulnerable to falling**\n**into poverty.** Overall, 64.9 percent of the Togolese population is either poor or vulnerable to poverty <sup>6</sup> . The corresponding\nfigure in rural areas is substantially higher. Togo’s high vulnerability to poverty is due to its population’s exposure to\nshocks. Low educational attainment also hampers resilience to shocks, as it reduces opportunities to access new income\ngenerating activities. Households resort to informal safety nets or negative coping strategies, which lead to asset depletion\nand deterioration of human capital. An overwhelming proportion of individuals from households with a single adult female\nare vulnerable to poverty relative to their counterparts with one adult male.\n\n\n**5.** **Climate change is an important driver of household vulnerability.** Mean temperatures in Togo have risen steadily,\nin particular over the past 20 years, and are projected to rise further over the coming decades. Rising temperatures are\nexpected to contribute to reinforcing climate risks, such as drought events, wildfires, and floods and continue the trend\nof increasing and intensifying natural hazards. <sup>7</sup> Rural and dry areas with households working in agriculture, who are already\nlikely to be poorer than households in other areas, tend to be the most exposed to climate change impacts, presenting a\n\n\n1 WBG (2020) Macro Poverty Outlook and WBG (2022) October 2022 Macro Poverty\n\nMention: \"WBG (2020) Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited with the 2022 edition as the source for the poverty and inequality figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003285:11:2", "occurrence_id": "c5758e7a3e2207d99d163b48", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 10|10|7|>99|84|>99|90|\n|Kyrgyz Rep.|6|72|3.3|18|60|11|>99|80|>99|93|\n|Turkmenistan|6|68|2.7|42|7|8|>99|72|>99|94|\n|Uzbekistan|33|72|2.8|14|29|10|97|-|>99|74|\n|_ECA (non-HIC)_|_386_|_74_|_1.9_|_11_|_18_|_8 _|_- _|_- _|_- _|_- _|\n|_LMIC_|_3,279_|_69_|_3.2_|_37_|_210_|_22_|_- _|_- _|_- _|_- _|\n\n\n_Source_ : World Development Indicators, 2022; World Health Organization (WHO) Global Health Expenditure Database, 2021; and Health Equity and\nFinancial Protection Indicators (HEFPI) database, 2022 edition.\n\n\n6. **Inadequate access to certain services and quality of health services are the root causes of Tajikistan’s lagging**\n**health outcomes.** Formally, all Tajiks are entitled to subsidized health services from public providers, with user fee\nexemptions for several demographic and socioeconomic groups, including the poor. <sup>11</sup> However, while Tajikistan has\n\n\n8 Unweighted average across ECA countries except Turkmenistan for which no data is available.\n9 For instance, the 2017 Demographic and Health Survey estimated that infant mortality stood at 9 per 1,000 live births in Dushanbe compared\nwith 33 in Khatlon region and was over twice as high in the\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"One of three databases behind the cross-country health comparison table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003285:11:2", "occurrence_id": "0ec35c9ce4625bd0730fc731", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 10|10|7|>99|84|>99|90|\n|Kyrgyz Rep.|6|72|3.3|18|60|11|>99|80|>99|93|\n|Turkmenistan|6|68|2.7|42|7|8|>99|72|>99|94|\n|Uzbekistan|33|72|2.8|14|29|10|97|-|>99|74|\n|_ECA (non-HIC)_|_386_|_74_|_1.9_|_11_|_18_|_8 _|_- _|_- _|_- _|_- _|\n|_LMIC_|_3,279_|_69_|_3.2_|_37_|_210_|_22_|_- _|_- _|_- _|_- _|\n\n\n_Source_ : World Development Indicators, 2022; World Health Organization (WHO) Global Health Expenditure Database, 2021; and Health Equity and\nFinancial Protection Indicators (HEFPI) database, 2022 edition.\n\n\n6. **Inadequate access to certain services and quality of health services are the root causes of Tajikistan’s lagging**\n**health outcomes.** Formally, all Tajiks are entitled to subsidized health services from public providers, with user fee\nexemptions for several demographic and socioeconomic groups, including the poor. <sup>11</sup> However, while Tajikistan has\n\n\n8 Unweighted average across ECA countries except Turkmenistan for which no data is available.\n9 For instance, the 2017 Demographic and Health Survey estimated that infant mortality stood at 9 per 1,000 live births in Dushanbe compared\nwith 33 in Khatlon region and was over twice as high in the\n\nMention: \"Global Health Expenditure Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the health expenditure columns in the comparison table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003285:11:2", "occurrence_id": "4dff2bfeac0706a76e3036b2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 10|10|7|>99|84|>99|90|\n|Kyrgyz Rep.|6|72|3.3|18|60|11|>99|80|>99|93|\n|Turkmenistan|6|68|2.7|42|7|8|>99|72|>99|94|\n|Uzbekistan|33|72|2.8|14|29|10|97|-|>99|74|\n|_ECA (non-HIC)_|_386_|_74_|_1.9_|_11_|_18_|_8 _|_- _|_- _|_- _|_- _|\n|_LMIC_|_3,279_|_69_|_3.2_|_37_|_210_|_22_|_- _|_- _|_- _|_- _|\n\n\n_Source_ : World Development Indicators, 2022; World Health Organization (WHO) Global Health Expenditure Database, 2021; and Health Equity and\nFinancial Protection Indicators (HEFPI) database, 2022 edition.\n\n\n6. **Inadequate access to certain services and quality of health services are the root causes of Tajikistan’s lagging**\n**health outcomes.** Formally, all Tajiks are entitled to subsidized health services from public providers, with user fee\nexemptions for several demographic and socioeconomic groups, including the poor. <sup>11</sup> However, while Tajikistan has\n\n\n8 Unweighted average across ECA countries except Turkmenistan for which no data is available.\n9 For instance, the 2017 Demographic and Health Survey estimated that infant mortality stood at 9 per 1,000 live births in Dushanbe compared\nwith 33 in Khatlon region and was over twice as high in the\n\nMention: \"Health Equity and\nFinancial Protection Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Third database supplying equity and financial protection indicators in the table.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003285:11:2", "occurrence_id": "d2f43c8921933c8a1b11fb43", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 10|10|7|>99|84|>99|90|\n|Kyrgyz Rep.|6|72|3.3|18|60|11|>99|80|>99|93|\n|Turkmenistan|6|68|2.7|42|7|8|>99|72|>99|94|\n|Uzbekistan|33|72|2.8|14|29|10|97|-|>99|74|\n|_ECA (non-HIC)_|_386_|_74_|_1.9_|_11_|_18_|_8 _|_- _|_- _|_- _|_- _|\n|_LMIC_|_3,279_|_69_|_3.2_|_37_|_210_|_22_|_- _|_- _|_- _|_- _|\n\n\n_Source_ : World Development Indicators, 2022; World Health Organization (WHO) Global Health Expenditure Database, 2021; and Health Equity and\nFinancial Protection Indicators (HEFPI) database, 2022 edition.\n\n\n6. **Inadequate access to certain services and quality of health services are the root causes of Tajikistan’s lagging**\n**health outcomes.** Formally, all Tajiks are entitled to subsidized health services from public providers, with user fee\nexemptions for several demographic and socioeconomic groups, including the poor. <sup>11</sup> However, while Tajikistan has\n\n\n8 Unweighted average across ECA countries except Turkmenistan for which no data is available.\n9 For instance, the 2017 Demographic and Health Survey estimated that infant mortality stood at 9 per 1,000 live births in Dushanbe compared\nwith 33 in Khatlon region and was over twice as high in the\n\nMention: \"2017 Demographic and Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimated infant mortality of 9 per 1,000 in Dushanbe against 33 in Khatlon.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003285:25:2", "occurrence_id": "50ae11c3acb6aa154bb60e7c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  financed\nby the Project under Component 4 and led by MoHSPP with support from the World Bank technical team. Both SDI surveys\nand the first two FASTR surveys will be executed by private survey firms. MoHSPP will support survey implementation by\nendorsing and facilitating field work; the Bank technical teams will carry out data analysis and ensure timely provision of\nsurvey findings to the Government. The private survey firm that will implement the endline SDI will be chosen by a joint\nMoHSPP–World Bank selection panel, and safeguards will be established for its independence in data collection and\nanalysis. The TSG will also validate and provide administrative and qualitative data for M&E to the World Bank and other\nstakeholders in a timely manner. The administrative data include statistics from Tajikistan’s DHIS on key inputs. The TSG\nwill also provide up-to-date information from Tajikistan’s National Health Accounts, and from the MoF on government\n\n\n45 Members will participate from the Ministry of Justice, Ministry of Finance, Ministry of Economic Development and Trade, Tax Committee, AntiMonopoly Agency, Agency for State Financial Control and Combatting Corruption, Committee on Local Government, Ministry of Industry and New\nTechnologies (Digital), State Committee on Investments and Management of State Property, and senior management level participants from Sughd\nOblast Local Government and Dushanbe City Local Government.\n\n24\n\nMention: \"statistics from Tajikistan’s DHIS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Health information system supplying administrative data on key inputs for M&E.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003285:25:2", "occurrence_id": "3132ad1e1bf379584d8474cd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  financed\nby the Project under Component 4 and led by MoHSPP with support from the World Bank technical team. Both SDI surveys\nand the first two FASTR surveys will be executed by private survey firms. MoHSPP will support survey implementation by\nendorsing and facilitating field work; the Bank technical teams will carry out data analysis and ensure timely provision of\nsurvey findings to the Government. The private survey firm that will implement the endline SDI will be chosen by a joint\nMoHSPP–World Bank selection panel, and safeguards will be established for its independence in data collection and\nanalysis. The TSG will also validate and provide administrative and qualitative data for M&E to the World Bank and other\nstakeholders in a timely manner. The administrative data include statistics from Tajikistan’s DHIS on key inputs. The TSG\nwill also provide up-to-date information from Tajikistan’s National Health Accounts, and from the MoF on government\n\n\n45 Members will participate from the Ministry of Justice, Ministry of Finance, Ministry of Economic Development and Trade, Tax Committee, AntiMonopoly Agency, Agency for State Financial Control and Combatting Corruption, Committee on Local Government, Ministry of Industry and New\nTechnologies (Digital), State Committee on Investments and Management of State Property, and senior management level participants from Sughd\nOblast Local Government and Dushanbe City Local Government.\n\n24\n\nMention: \"National Health Accounts\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Up-to-date health financing information the steering group will provide to the Bank.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003268:3:0", "occurrence_id": "61f3c255b526f614555b6446", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWater Saving and Low Carbon Paddy Rice Program (P178796)\n\n\n(covering Heilongjiang, Jilin and Liaoning provinces), Southeast and South Region (Shanghai, Zhejiang, Fujian, Guangdong,\nGuangxi and Hainan provinces). These three regions account for more than 95 percent of the country's total rice planting\narea and production over the past 20 years. The country has achieved high rice yield through crop intensification,\ninvestment in infrastructure and technologies as well as intensive use of natural resources and chemical fertilizers. Rice\nproduction at 214 million tons per year (2020) is about 40 percent of the total grain production in the country, and rice is\nthe staple food for over half of the 1.4 billion people of China, which is an enormous contribution to the country’s and\nglobal food security.\n\n\n\n<u>Table 1. Major Rice Producing Countries and GHG Reduction Potentials (Source: FAOSTAT, USDA/EPA)</u>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n5. **Rice production in China is a major source of GHG emissions** . A range of studies <sup>1</sup> [^1: Chinese Academy of Sciences, International Rice Research Institute, and Chinese Academy of Agricultural Sciences, etc] since the 1980s have shown\nthat rice production is a major source of GHG emissions. The main GHGs from rice production are found to be methane\n(CH4) and nitrous oxide (N2O) whose global warming potential (GWP) are 25 and 298 times that of carbon dioxide (CO2),\nrespectively. <sup>2</sup> [^2: Global Warming Potentials (IPCC Fourth Assessment Report). (link)] Rice cultivation and nitrogen fertilizer application are the main sources of methane and nitrous oxide in the\nagricultural sector, accounting for 40 percent and 47 percent respectively. <sup>3</sup> [^3: Cheng and Pan, 2021.] It is estimated that about 8.0 million tons (Tg)\n\nMention: \"FAOSTAT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited with USDA/EPA as the source for the rice-producing countries comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:15:2", "occurrence_id": "9c331f5cf05020311ae1c77c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: the MML in changing the traffic planning/management culture from a vehicle-centric to a people-centric approach to**\n**support sustainable transport options.** Improving traffic management and road safety, while reducing the barriers for\nsustainable mobility options and reducing the environmental impact of urban transport requires a comprehensive and\nsustained effort with sizable public resources over a long period of time. This also requires a phased framework that allows\nfor an adaptive learning agenda across and within phases, adjusting the design and targeting of interventions to introduce\ninnovations and maximize the economic and social benefits of the MPA and allowing for progressive cultural change in\nplanning practices and behavioral changes in the population.\n\n\n30 In 2021, the ONSV and the National Police for the first time published georeferenced and standardized data of traffic fatalities for the whole\ncountry.\n31 Supreme Decree 009-2023-MTC.\n32 The World Bank is providing technical assistance to support the definition of functions, roles, interventions, and expected impacts for the new\nRoad Safety Agency.\n33 _Municipalidad Metropolitana de Lima, Plan de Seguridad Vial de la Provincia de Lima_ 2022–2024.\n34 World Bank. 2020. _Propuesta y recomendaciones para la actualización del Plan de Infraestructura Cicloviaria para Lima y Callao._ Washington, DC:\nWorld Bank. World Bank. 2020. _Propuesta y recomendaciones para la formulación de una estrategia para la Bicicleta en Lima Metropolitana_ .\nWashington, DC: World Bank.\n[35 Ministerial Resolution No. 096-2021-MINAM of June 9, 2021: https://www.gob.pe/institucion/minam/normas-legales/1955977-096-2021-](https://www.gob.pe/institucion/minam/normas-legales/1955977-096\n\nMention: \"georeferenced and standardized data of traffic fatalities\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"First nationwide geocoded fatality dataset, published jointly in 2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:31:1", "occurrence_id": "dec52d84d3f44c3e8d4dd152", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  six-cycle lane infrastructure projects, as well as support for the definition of\nthe metropolitan PBS system transaction model and PPP requirements.\n\n\n61. **The project design has benefited from collection and/or leveraging of various sources of specialized data.** The\nWorld Bank helped collect baseline data on traffic counts disaggregated by mode and gender in the project area of\ninfluence and data on traffic lights cycles on 24 intersections. It also leveraged data through the Development Data\nPartnership to inform the optimization and modeling of the traffic lights system on several corridors under Component 1\nand interventions under Component 3. In addition, the World Bank conducted a comprehensive cycle network inventory\nduring 2023 that produced a detailed assessment of over 320 km of existing bicycle lane infrastructure. This is in addition\nto volume counts for cyclists and motorized vehicles at key locations of Component 4 intervention areas and a\nnonrepresentative, indicative origin-destination survey of cyclists. This activity provided an updated view of cycling\ninfrastructure and supported the identification of areas for prioritization.\n\n\n62. **The project is aligned with the goals of the Paris Agreement on both mitigation and adaptation.** <sup>47</sup> [^47: This is assessed using the three-step World Bank IPF Investment Method for Assessing Paris Alignment. Step 1, which assesses the project’s\n<u>consistency with the country’s climate strategies, is discussed in the Higher-Level Objectives section.</u>]\n\n\n63. **Assessment and reduction of mitigation risks: the project is aligned with the goals of the Paris Agreement on**\n**mitigation, with the proposed activities either universally aligned or considered low risk.**\n\n\n(a) **Universally aligned.** Activities focused on promoting cycling through improved cycling infrastructure and\n\nroad safety (Components 3 and 4) and activities aimed at developing low-traffic neighborhoods and safe\nintersections thus promote both cycling and walking (Component 3), contribute to the decarbonization of\nLima’s transport system and are considered universally aligned. These activities do not\n\nMention: \"traffic counts\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Baseline mode- and gender-disaggregated counts collected in the project area.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:31:1", "occurrence_id": "608e2ee26fccfcf59477d2a1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  six-cycle lane infrastructure projects, as well as support for the definition of\nthe metropolitan PBS system transaction model and PPP requirements.\n\n\n61. **The project design has benefited from collection and/or leveraging of various sources of specialized data.** The\nWorld Bank helped collect baseline data on traffic counts disaggregated by mode and gender in the project area of\ninfluence and data on traffic lights cycles on 24 intersections. It also leveraged data through the Development Data\nPartnership to inform the optimization and modeling of the traffic lights system on several corridors under Component 1\nand interventions under Component 3. In addition, the World Bank conducted a comprehensive cycle network inventory\nduring 2023 that produced a detailed assessment of over 320 km of existing bicycle lane infrastructure. This is in addition\nto volume counts for cyclists and motorized vehicles at key locations of Component 4 intervention areas and a\nnonrepresentative, indicative origin-destination survey of cyclists. This activity provided an updated view of cycling\ninfrastructure and supported the identification of areas for prioritization.\n\n\n62. **The project is aligned with the goals of the Paris Agreement on both mitigation and adaptation.** <sup>47</sup> [^47: This is assessed using the three-step World Bank IPF Investment Method for Assessing Paris Alignment. Step 1, which assesses the project’s\n<u>consistency with the country’s climate strategies, is discussed in the Higher-Level Objectives section.</u>]\n\n\n63. **Assessment and reduction of mitigation risks: the project is aligned with the goals of the Paris Agreement on**\n**mitigation, with the proposed activities either universally aligned or considered low risk.**\n\n\n(a) **Universally aligned.** Activities focused on promoting cycling through improved cycling infrastructure and\n\nroad safety (Components 3 and 4) and activities aimed at developing low-traffic neighborhoods and safe\nintersections thus promote both cycling and walking (Component 3), contribute to the decarbonization of\nLima’s transport system and are considered universally aligned. These activities do not\n\nMention: \"Development Data\nPartnership\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Partnership supplying data for traffic light optimisation and modelling.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:31:1", "occurrence_id": "f62b31e480a79ed2ccdbdf73", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  six-cycle lane infrastructure projects, as well as support for the definition of\nthe metropolitan PBS system transaction model and PPP requirements.\n\n\n61. **The project design has benefited from collection and/or leveraging of various sources of specialized data.** The\nWorld Bank helped collect baseline data on traffic counts disaggregated by mode and gender in the project area of\ninfluence and data on traffic lights cycles on 24 intersections. It also leveraged data through the Development Data\nPartnership to inform the optimization and modeling of the traffic lights system on several corridors under Component 1\nand interventions under Component 3. In addition, the World Bank conducted a comprehensive cycle network inventory\nduring 2023 that produced a detailed assessment of over 320 km of existing bicycle lane infrastructure. This is in addition\nto volume counts for cyclists and motorized vehicles at key locations of Component 4 intervention areas and a\nnonrepresentative, indicative origin-destination survey of cyclists. This activity provided an updated view of cycling\ninfrastructure and supported the identification of areas for prioritization.\n\n\n62. **The project is aligned with the goals of the Paris Agreement on both mitigation and adaptation.** <sup>47</sup> [^47: This is assessed using the three-step World Bank IPF Investment Method for Assessing Paris Alignment. Step 1, which assesses the project’s\n<u>consistency with the country’s climate strategies, is discussed in the Higher-Level Objectives section.</u>]\n\n\n63. **Assessment and reduction of mitigation risks: the project is aligned with the goals of the Paris Agreement on**\n**mitigation, with the proposed activities either universally aligned or considered low risk.**\n\n\n(a) **Universally aligned.** Activities focused on promoting cycling through improved cycling infrastructure and\n\nroad safety (Components 3 and 4) and activities aimed at developing low-traffic neighborhoods and safe\nintersections thus promote both cycling and walking (Component 3), contribute to the decarbonization of\nLima’s transport system and are considered universally aligned. These activities do not\n\nMention: \"comprehensive cycle network inventory\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"2023 inventory assessing over 320 km of existing bicycle lane infrastructure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:31:1", "occurrence_id": "e1d4a28f7c9df1f5b297ef3a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  six-cycle lane infrastructure projects, as well as support for the definition of\nthe metropolitan PBS system transaction model and PPP requirements.\n\n\n61. **The project design has benefited from collection and/or leveraging of various sources of specialized data.** The\nWorld Bank helped collect baseline data on traffic counts disaggregated by mode and gender in the project area of\ninfluence and data on traffic lights cycles on 24 intersections. It also leveraged data through the Development Data\nPartnership to inform the optimization and modeling of the traffic lights system on several corridors under Component 1\nand interventions under Component 3. In addition, the World Bank conducted a comprehensive cycle network inventory\nduring 2023 that produced a detailed assessment of over 320 km of existing bicycle lane infrastructure. This is in addition\nto volume counts for cyclists and motorized vehicles at key locations of Component 4 intervention areas and a\nnonrepresentative, indicative origin-destination survey of cyclists. This activity provided an updated view of cycling\ninfrastructure and supported the identification of areas for prioritization.\n\n\n62. **The project is aligned with the goals of the Paris Agreement on both mitigation and adaptation.** <sup>47</sup> [^47: This is assessed using the three-step World Bank IPF Investment Method for Assessing Paris Alignment. Step 1, which assesses the project’s\n<u>consistency with the country’s climate strategies, is discussed in the Higher-Level Objectives section.</u>]\n\n\n63. **Assessment and reduction of mitigation risks: the project is aligned with the goals of the Paris Agreement on**\n**mitigation, with the proposed activities either universally aligned or considered low risk.**\n\n\n(a) **Universally aligned.** Activities focused on promoting cycling through improved cycling infrastructure and\n\nroad safety (Components 3 and 4) and activities aimed at developing low-traffic neighborhoods and safe\nintersections thus promote both cycling and walking (Component 3), contribute to the decarbonization of\nLima’s transport system and are considered universally aligned. These activities do not\n\nMention: \"volume counts for cyclists and motorized vehicles\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Counts at key Component 4 locations supporting prioritisation of interventions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:31:1", "occurrence_id": "23b95ce92b2ae0d4f40e0a5e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  six-cycle lane infrastructure projects, as well as support for the definition of\nthe metropolitan PBS system transaction model and PPP requirements.\n\n\n61. **The project design has benefited from collection and/or leveraging of various sources of specialized data.** The\nWorld Bank helped collect baseline data on traffic counts disaggregated by mode and gender in the project area of\ninfluence and data on traffic lights cycles on 24 intersections. It also leveraged data through the Development Data\nPartnership to inform the optimization and modeling of the traffic lights system on several corridors under Component 1\nand interventions under Component 3. In addition, the World Bank conducted a comprehensive cycle network inventory\nduring 2023 that produced a detailed assessment of over 320 km of existing bicycle lane infrastructure. This is in addition\nto volume counts for cyclists and motorized vehicles at key locations of Component 4 intervention areas and a\nnonrepresentative, indicative origin-destination survey of cyclists. This activity provided an updated view of cycling\ninfrastructure and supported the identification of areas for prioritization.\n\n\n62. **The project is aligned with the goals of the Paris Agreement on both mitigation and adaptation.** <sup>47</sup> [^47: This is assessed using the three-step World Bank IPF Investment Method for Assessing Paris Alignment. Step 1, which assesses the project’s\n<u>consistency with the country’s climate strategies, is discussed in the Higher-Level Objectives section.</u>]\n\n\n63. **Assessment and reduction of mitigation risks: the project is aligned with the goals of the Paris Agreement on**\n**mitigation, with the proposed activities either universally aligned or considered low risk.**\n\n\n(a) **Universally aligned.** Activities focused on promoting cycling through improved cycling infrastructure and\n\nroad safety (Components 3 and 4) and activities aimed at developing low-traffic neighborhoods and safe\nintersections thus promote both cycling and walking (Component 3), contribute to the decarbonization of\nLima’s transport system and are considered universally aligned. These activities do not\n\nMention: \"origin-destination survey of cyclists\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Explicitly non-representative indicative survey informing cycling infrastructure priorities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:43:1", "occurrence_id": "61d5951edb470a566b8ed89c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  can be reached by a combination of walking, cycling, and any<br>public transport mode within 45 minutes in Lima|\n|Frequency|At project start and completion|\n|Data source|Travel speeds on the Phase 1 intervention corridors, poor population (INEI, 2017), jobs (modeled using a World Bank<br>methodology)|\n|Methodology for Data<br>Collection|The indicator will be calculated using accessibility modeling tools, using as an input the travel speeds measured on the<br>nine project intervention corridors (C1).|\n|Responsibility for Data<br>Collection|PROTRANSITO|\n|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes (Percentage) **|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes (Percentage) **|\n|Description|Population weighted average number of jobs that can be reached by a combination of walking, cycling, and any public<br>transport mode within 45 minutes in Lima|\n|Frequency|At project start and completion|\n|Data source|Travel speeds on the MPA intervention corridors, population (World Pop), jobs (modeled using a World Bank<br>methodology)|\n|Methodology for Data<br>Collection|The indicator will be calculated using accessibility modeling tools, using as an input the travel speeds measured on the<br>intervention corridors.|\n|Responsibility for Data<br>Collection|PROTRANSITO|\n|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes by low-income population (Percentage) **|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes by low-income population (\n\nMention: \"Travel speeds on the Phase 1 intervention corridors\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Measured corridor speeds, with INEI poverty data and modelled jobs, feeding the accessibility indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:43:1", "occurrence_id": "49996a9af13999ada9c9958a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  can be reached by a combination of walking, cycling, and any<br>public transport mode within 45 minutes in Lima|\n|Frequency|At project start and completion|\n|Data source|Travel speeds on the Phase 1 intervention corridors, poor population (INEI, 2017), jobs (modeled using a World Bank<br>methodology)|\n|Methodology for Data<br>Collection|The indicator will be calculated using accessibility modeling tools, using as an input the travel speeds measured on the<br>nine project intervention corridors (C1).|\n|Responsibility for Data<br>Collection|PROTRANSITO|\n|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes (Percentage) **|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes (Percentage) **|\n|Description|Population weighted average number of jobs that can be reached by a combination of walking, cycling, and any public<br>transport mode within 45 minutes in Lima|\n|Frequency|At project start and completion|\n|Data source|Travel speeds on the MPA intervention corridors, population (World Pop), jobs (modeled using a World Bank<br>methodology)|\n|Methodology for Data<br>Collection|The indicator will be calculated using accessibility modeling tools, using as an input the travel speeds measured on the<br>intervention corridors.|\n|Responsibility for Data<br>Collection|PROTRANSITO|\n|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes by low-income population (Percentage) **|**PrDO: Share of jobs in Lima that can be reached by public transport and NMT within 45 minutes by low-income population (\n\nMention: \"Travel speeds on the MPA intervention corridors\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Speed inputs combined with World Pop and modelled jobs in the accessibility model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:44:4", "occurrence_id": "6725bb9d5fc427e5aa991569", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ly|\n||Data source|MTC/ONSV and PNP database|MTC/ONSV and PNP database|\n||Methodology for Data<br>Collection|Digitized records of road crashes|Digitized records of road crashes|\n||Responsibility for Data<br>Collection|MTC/ONSV and PNP|MTC/ONSV and PNP|\n||**Annual traffic fatalities in the intervention areas specific to pedestrians and cyclists (Number) **|**Annual traffic fatalities in the intervention areas specific to pedestrians and cyclists (Number) **|**Annual traffic fatalities in the intervention areas specific to pedestrians and cyclists (Number) **|\n||Description|Annual pedestrian and cyclist fatalities in areas intervened under Components 1-4: within a 100m buffer from traffic<br>lights and intersections (due to the precision of fatality data), and a 250m buffer for cameras|Annual pedestrian and cyclist fatalities in areas intervened under Components 1-4: within a 100m buffer from traffic<br>lights and intersections (due to the precision of fatality data), and a 250m buffer for cameras|\n||Frequency|Annually|Annually|\n||Data source|MTC/ONSV and PNP database|MTC/ONSV and PNP database|\n\n\n\nPage 40\n\nMention: \"Digitized records of road crashes\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Digitised crash records used as the collection method for the fatality indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:44:4", "occurrence_id": "a617c8fb4fd8311e90bd0213", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ly|\n||Data source|MTC/ONSV and PNP database|MTC/ONSV and PNP database|\n||Methodology for Data<br>Collection|Digitized records of road crashes|Digitized records of road crashes|\n||Responsibility for Data<br>Collection|MTC/ONSV and PNP|MTC/ONSV and PNP|\n||**Annual traffic fatalities in the intervention areas specific to pedestrians and cyclists (Number) **|**Annual traffic fatalities in the intervention areas specific to pedestrians and cyclists (Number) **|**Annual traffic fatalities in the intervention areas specific to pedestrians and cyclists (Number) **|\n||Description|Annual pedestrian and cyclist fatalities in areas intervened under Components 1-4: within a 100m buffer from traffic<br>lights and intersections (due to the precision of fatality data), and a 250m buffer for cameras|Annual pedestrian and cyclist fatalities in areas intervened under Components 1-4: within a 100m buffer from traffic<br>lights and intersections (due to the precision of fatality data), and a 250m buffer for cameras|\n||Frequency|Annually|Annually|\n||Data source|MTC/ONSV and PNP database|MTC/ONSV and PNP database|\n\n\n\nPage 40\n\nMention: \"fatality data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Its precision limits define the 100m buffer used around intersections.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:44:2", "occurrence_id": "45cd51de19542dc213e3b00b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ibility for Data<br>Collection|PROTRANSITO|PROTRANSITO|\n||**Improve road safety in Lima**|**Improve road safety in Lima**|**Improve road safety in Lima**|\n||**PrDO: Annual traffic fatalities in the intervention areas (Number) **|**PrDO: Annual traffic fatalities in the intervention areas (Number) **|**PrDO: Annual traffic fatalities in the intervention areas (Number) **|\n||Description|Annual fatalities in areas intervened under Components 1-4: within a 100 m buffer from traffic lights and intersections<br>(due to the precision of fatality data), and a 250 m buffer for cameras|Annual fatalities in areas intervened under Components 1-4: within a 100 m buffer from traffic lights and intersections<br>(due to the precision of fatality data), and a 250 m buffer for cameras|\n||Frequency|Annually|Annually|\n||Data source|MTC/ONSV and Policia Nacional del Peru (PNP) database|MTC/ONSV and Policia Nacional del Peru (PNP) database|\n||Methodology for Data<br>Collection|Digitized records of road crashes|Digitized records of road crashes|\n||Responsibility for Data<br>Collection|MTC/ONSV and PNP|MTC/ONSV and PNP|\n||**PrDO: Annual traffic fatalities in the intervention areas among pedestrians and cyclists (Number) **|**PrDO: Annual traffic fatalities in the intervention areas among pedestrians and cyclists (Number) **|**PrDO: Annual traffic fatalities in the intervention areas among pedestrians and cyclists (Number) **|\n||Description|Annual pedestrian and cyclist fatalities in areas intervened under Components 1-4: within a\n\nMention: \"fatality data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Its precision determines the 100 m buffer used for the fatality indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:44:2", "occurrence_id": "6aae03b589e28180f6c5e20d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ibility for Data<br>Collection|PROTRANSITO|PROTRANSITO|\n||**Improve road safety in Lima**|**Improve road safety in Lima**|**Improve road safety in Lima**|\n||**PrDO: Annual traffic fatalities in the intervention areas (Number) **|**PrDO: Annual traffic fatalities in the intervention areas (Number) **|**PrDO: Annual traffic fatalities in the intervention areas (Number) **|\n||Description|Annual fatalities in areas intervened under Components 1-4: within a 100 m buffer from traffic lights and intersections<br>(due to the precision of fatality data), and a 250 m buffer for cameras|Annual fatalities in areas intervened under Components 1-4: within a 100 m buffer from traffic lights and intersections<br>(due to the precision of fatality data), and a 250 m buffer for cameras|\n||Frequency|Annually|Annually|\n||Data source|MTC/ONSV and Policia Nacional del Peru (PNP) database|MTC/ONSV and Policia Nacional del Peru (PNP) database|\n||Methodology for Data<br>Collection|Digitized records of road crashes|Digitized records of road crashes|\n||Responsibility for Data<br>Collection|MTC/ONSV and PNP|MTC/ONSV and PNP|\n||**PrDO: Annual traffic fatalities in the intervention areas among pedestrians and cyclists (Number) **|**PrDO: Annual traffic fatalities in the intervention areas among pedestrians and cyclists (Number) **|**PrDO: Annual traffic fatalities in the intervention areas among pedestrians and cyclists (Number) **|\n||Description|Annual pedestrian and cyclist fatalities in areas intervened under Components 1-4: within a\n\nMention: \"Digitized records of road crashes\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Collection methodology for the PrDO traffic fatality indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003309:3:1", "occurrence_id": "de53b1d3faf3ea2aa1e6b0b6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >6</sup> : the most recent estimates place these\ncosts at US$1.4 trillion between 2016 and 2030, equivalent to US$100 billion (or about 7 percent of GDP) per\nyear. <sup>7</sup> [^7: Source: IFC, 2016. By 2030, the financing gap for achieving net-zero emissions is estimated at US$ 1.3 trillion for energy, transportation, building,\nwaste management, and industrial energy efficiency sectors. An additional US$163 billion for agriculture, of which $78 billion in livestock-related\nactivities is obtained from Climate Bonds Initiative, 2020.] These figures underline the need for a sharp acceleration in market-based financing and more robust\nclimate finance markets to meet these costs, especially given Brazil’s more constrained fiscal setting postCOVID-19.\n\n\nSectoral and Institutional Context\n\n\n**<mark>The project seeks to overcome three main market failures in an integrated manner:</mark>**\n\n\ni. **<mark>Sustainability-linked finance is a nascent market in Brazil that i</mark>** **s largely serving large corporates**\n**in a few industries** **and best practices have not been evenly applied, potentially undermining**\n\n\n4 The top eight global GHG emitters are (by share of global GHG emissions): China (23.9%), USA (11.8%), India (6.7%), EU-27 (6.7%), Russia (4.1%),\nIndonesia (3.5%), Brazil (2.9%), Japan (2.4%). Source: Climate Watch https://www.climatewatchdata.org/\n5 <mark>Source: Brazil’s National Institute of Space Research, data from August 2020 to July 2021.</mark>\n6 Brazil country climate and development report, 2022. Forthcoming.\n7 Source: IFC, 2016. By 2030\n\nMention: \"data from August 2020 to July 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Satellite observation period behind the deforestation figures cited.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:59:0", "occurrence_id": "8f039f57ecd557bba5ef5101", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nImproving Lima Traffic Management and Supporting Sustainable Transport Project (P178842)\n\n\nInitially, 68 km of potential cycle lanes were identified, from which 50 km were selected based on their feasibility and\nconcept design. However, a final stage was also carried out to identify parallel routes to those initially proposed, because\nthey were all primarily located along arterial routes. The proposed network is also complementary to the nearly 90 km of\ncycle lanes financed and under implementation by KfW.\n\n\n27. **In addition, the project will support the preparation of engineering designs for 150 km of cycle infrastructure**\n**throughout Lima, for the interventions to be investment-ready during Phase 2 of the MPA** . Innovative planning\nmethodologies, including the use of level of traffic stress characterization of infrastructure quality from the perspective of\nthe user, as well as data from global positioning systems (GPS) and cellphones, will be used to automate future planning.\n\n\n28. **A total of 124 intersections of Component 1 and Subcomponent 3.1 intersections will be on the existing and**\n**future cycle network** . The selection of PAIT intersections coincides strongly with the existing and projected cycle\ninfrastructure network. Component 1 intersections are aligned with the KfW-funded cycle lanes being implemented to\nincrease their functionality and safety, with nearly 35 intersections being aligned.\n\n\n29. **PLANMET 2040 stipulates the implementation of a metropolitan PBS system with a preliminary estimate of**\n**2,100 bicycles.** The World Bank conducted a prefeasibility assessment for a potential PBS system and is ready to engage\nwith the city through a PPP process (also specified in PLANMET 2040). Systems recently implemented in Bogota and\nMexico City have strong private sector participation and business model schemes funded through a combination of fare,\nadvertising, and sponsorship revenues, and potentially with public sector investment. In addition, recent schemes such as\nthe one\n\nMention: \"global positioning systems\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"GPS and cellphone data used with traffic stress characterization to automate future planning.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:68:1", "occurrence_id": "ccf90020e01b76fb22e58a68", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and a 45 percent decrease on the internal streets, and an increase in pedestrian\nand cyclist trips of 10 percent and 50 percent, respectively. The interventions in the five ZTCs involve 28,303 automobiles\nand 6,320 motorcycles ceasing to circulate due to the modal shift, translating into a reduction of 9,576 tCO2eq during the\nproject analysis period (684 tons per year, on average).\n\n\n12. **The 50 km of cycle lanes to be implemented under Component 4 will promote a shift to cycling from private**\n**motorized modes and public transport.** First, an area that would potentially generate or attract trips that could have a\nmodal shift to cycling (1 km around the future cycling lanes) was defined. With information from the 2017 Census, the\nresident population between 15 and 59 years were determined as was the share of households in each district that own\na private vehicle. This information was key for identifying the target population (668,000) that could switch to cycling. An\norigin-destination matrix of the trips made in the study area was obtained from Veraset GPS data, weighted by real\npopulation data. February 2022 was defined as the modeling period. A previous modal choice model developed for Lima\nwas used; the model was calculated with information from preference surveys (2021) implemented across the Lima\nMetropolitan Area. For the application of this model, the attributes of the trips in each available transport mode were\ndetermined based on various data sources, such as Google API queries of times and distances by car and public transport\nfor each origin-destination pair in the study area and the average cost of public transport obtained from the expanded\nGTFS dataset recently collected across Lima. Using this information and the distribution of trips in the Lima Centro area\nfrom the _Lima Cómo Vamos_ 2021 survey, a pseudo-calibration of the modal constants of the modal choice model was\nperformed. The availability of cycle infrastructure is estimated\n\nMention: \"2017 Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Supplies resident population aged 15–59 and vehicle ownership by district.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:68:1", "occurrence_id": "786b0fb266f452142765df5f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and a 45 percent decrease on the internal streets, and an increase in pedestrian\nand cyclist trips of 10 percent and 50 percent, respectively. The interventions in the five ZTCs involve 28,303 automobiles\nand 6,320 motorcycles ceasing to circulate due to the modal shift, translating into a reduction of 9,576 tCO2eq during the\nproject analysis period (684 tons per year, on average).\n\n\n12. **The 50 km of cycle lanes to be implemented under Component 4 will promote a shift to cycling from private**\n**motorized modes and public transport.** First, an area that would potentially generate or attract trips that could have a\nmodal shift to cycling (1 km around the future cycling lanes) was defined. With information from the 2017 Census, the\nresident population between 15 and 59 years were determined as was the share of households in each district that own\na private vehicle. This information was key for identifying the target population (668,000) that could switch to cycling. An\norigin-destination matrix of the trips made in the study area was obtained from Veraset GPS data, weighted by real\npopulation data. February 2022 was defined as the modeling period. A previous modal choice model developed for Lima\nwas used; the model was calculated with information from preference surveys (2021) implemented across the Lima\nMetropolitan Area. For the application of this model, the attributes of the trips in each available transport mode were\ndetermined based on various data sources, such as Google API queries of times and distances by car and public transport\nfor each origin-destination pair in the study area and the average cost of public transport obtained from the expanded\nGTFS dataset recently collected across Lima. Using this information and the distribution of trips in the Lima Centro area\nfrom the _Lima Cómo Vamos_ 2021 survey, a pseudo-calibration of the modal constants of the modal choice model was\nperformed. The availability of cycle infrastructure is estimated\n\nMention: \"Veraset GPS data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Source of the origin-destination trip matrix for the study area.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:68:1", "occurrence_id": "609079f451c0dcbb71f908c6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and a 45 percent decrease on the internal streets, and an increase in pedestrian\nand cyclist trips of 10 percent and 50 percent, respectively. The interventions in the five ZTCs involve 28,303 automobiles\nand 6,320 motorcycles ceasing to circulate due to the modal shift, translating into a reduction of 9,576 tCO2eq during the\nproject analysis period (684 tons per year, on average).\n\n\n12. **The 50 km of cycle lanes to be implemented under Component 4 will promote a shift to cycling from private**\n**motorized modes and public transport.** First, an area that would potentially generate or attract trips that could have a\nmodal shift to cycling (1 km around the future cycling lanes) was defined. With information from the 2017 Census, the\nresident population between 15 and 59 years were determined as was the share of households in each district that own\na private vehicle. This information was key for identifying the target population (668,000) that could switch to cycling. An\norigin-destination matrix of the trips made in the study area was obtained from Veraset GPS data, weighted by real\npopulation data. February 2022 was defined as the modeling period. A previous modal choice model developed for Lima\nwas used; the model was calculated with information from preference surveys (2021) implemented across the Lima\nMetropolitan Area. For the application of this model, the attributes of the trips in each available transport mode were\ndetermined based on various data sources, such as Google API queries of times and distances by car and public transport\nfor each origin-destination pair in the study area and the average cost of public transport obtained from the expanded\nGTFS dataset recently collected across Lima. Using this information and the distribution of trips in the Lima Centro area\nfrom the _Lima Cómo Vamos_ 2021 survey, a pseudo-calibration of the modal constants of the modal choice model was\nperformed. The availability of cycle infrastructure is estimated\n\nMention: \"real\npopulation data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Weights the GPS-derived trip matrix to correct for sample bias.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:68:1", "occurrence_id": "eef8deff021539ed82e04df3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and a 45 percent decrease on the internal streets, and an increase in pedestrian\nand cyclist trips of 10 percent and 50 percent, respectively. The interventions in the five ZTCs involve 28,303 automobiles\nand 6,320 motorcycles ceasing to circulate due to the modal shift, translating into a reduction of 9,576 tCO2eq during the\nproject analysis period (684 tons per year, on average).\n\n\n12. **The 50 km of cycle lanes to be implemented under Component 4 will promote a shift to cycling from private**\n**motorized modes and public transport.** First, an area that would potentially generate or attract trips that could have a\nmodal shift to cycling (1 km around the future cycling lanes) was defined. With information from the 2017 Census, the\nresident population between 15 and 59 years were determined as was the share of households in each district that own\na private vehicle. This information was key for identifying the target population (668,000) that could switch to cycling. An\norigin-destination matrix of the trips made in the study area was obtained from Veraset GPS data, weighted by real\npopulation data. February 2022 was defined as the modeling period. A previous modal choice model developed for Lima\nwas used; the model was calculated with information from preference surveys (2021) implemented across the Lima\nMetropolitan Area. For the application of this model, the attributes of the trips in each available transport mode were\ndetermined based on various data sources, such as Google API queries of times and distances by car and public transport\nfor each origin-destination pair in the study area and the average cost of public transport obtained from the expanded\nGTFS dataset recently collected across Lima. Using this information and the distribution of trips in the Lima Centro area\nfrom the _Lima Cómo Vamos_ 2021 survey, a pseudo-calibration of the modal constants of the modal choice model was\nperformed. The availability of cycle infrastructure is estimated\n\nMention: \"preference surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"2021 surveys across the metropolitan area used to calculate the modal choice model.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:68:1", "occurrence_id": "376c756e814f0d2b916bbb36", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and a 45 percent decrease on the internal streets, and an increase in pedestrian\nand cyclist trips of 10 percent and 50 percent, respectively. The interventions in the five ZTCs involve 28,303 automobiles\nand 6,320 motorcycles ceasing to circulate due to the modal shift, translating into a reduction of 9,576 tCO2eq during the\nproject analysis period (684 tons per year, on average).\n\n\n12. **The 50 km of cycle lanes to be implemented under Component 4 will promote a shift to cycling from private**\n**motorized modes and public transport.** First, an area that would potentially generate or attract trips that could have a\nmodal shift to cycling (1 km around the future cycling lanes) was defined. With information from the 2017 Census, the\nresident population between 15 and 59 years were determined as was the share of households in each district that own\na private vehicle. This information was key for identifying the target population (668,000) that could switch to cycling. An\norigin-destination matrix of the trips made in the study area was obtained from Veraset GPS data, weighted by real\npopulation data. February 2022 was defined as the modeling period. A previous modal choice model developed for Lima\nwas used; the model was calculated with information from preference surveys (2021) implemented across the Lima\nMetropolitan Area. For the application of this model, the attributes of the trips in each available transport mode were\ndetermined based on various data sources, such as Google API queries of times and distances by car and public transport\nfor each origin-destination pair in the study area and the average cost of public transport obtained from the expanded\nGTFS dataset recently collected across Lima. Using this information and the distribution of trips in the Lima Centro area\nfrom the _Lima Cómo Vamos_ 2021 survey, a pseudo-calibration of the modal constants of the modal choice model was\nperformed. The availability of cycle infrastructure is estimated\n\nMention: \"expanded\nGTFS dataset\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Supplies average public transport cost for the model's trip attributes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003290:68:1", "occurrence_id": "33b0a59af036750f5340f9b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and a 45 percent decrease on the internal streets, and an increase in pedestrian\nand cyclist trips of 10 percent and 50 percent, respectively. The interventions in the five ZTCs involve 28,303 automobiles\nand 6,320 motorcycles ceasing to circulate due to the modal shift, translating into a reduction of 9,576 tCO2eq during the\nproject analysis period (684 tons per year, on average).\n\n\n12. **The 50 km of cycle lanes to be implemented under Component 4 will promote a shift to cycling from private**\n**motorized modes and public transport.** First, an area that would potentially generate or attract trips that could have a\nmodal shift to cycling (1 km around the future cycling lanes) was defined. With information from the 2017 Census, the\nresident population between 15 and 59 years were determined as was the share of households in each district that own\na private vehicle. This information was key for identifying the target population (668,000) that could switch to cycling. An\norigin-destination matrix of the trips made in the study area was obtained from Veraset GPS data, weighted by real\npopulation data. February 2022 was defined as the modeling period. A previous modal choice model developed for Lima\nwas used; the model was calculated with information from preference surveys (2021) implemented across the Lima\nMetropolitan Area. For the application of this model, the attributes of the trips in each available transport mode were\ndetermined based on various data sources, such as Google API queries of times and distances by car and public transport\nfor each origin-destination pair in the study area and the average cost of public transport obtained from the expanded\nGTFS dataset recently collected across Lima. Using this information and the distribution of trips in the Lima Centro area\nfrom the _Lima Cómo Vamos_ 2021 survey, a pseudo-calibration of the modal constants of the modal choice model was\nperformed. The availability of cycle infrastructure is estimated\n\nMention: \"_Lima Cómo Vamos_ 2021 survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Provides the trip distribution used to pseudo-calibrate the model's modal constants.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003336:53:0", "occurrence_id": "8df01c04282c90f4ef017405", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n|Data source/ Agency|BWB database and records|\n|---|---|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review of HR records and operational database<br>|\n|<br> <br>**PBC 4**|<br>Customer satisfaction index|\n|**Description**|Increase in the Customer Satisfaction Index|\n|**Data source/ Agency**|Customer satisfaction survey|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Customer survey<br>|\n|<br> <br>**PBC 5**|<br>Percentage of BWB staff in decision-making roles who are female|\n|**Description**|Increase the Percentage of the Project Implementing Entity Staff in decision-making roles who are female|\n|**Data source/ Agency**|HR database and records|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review and verification of HR records<br>|\n\n\n\nPage 48 of 64\n\nMention: \"BWB database and records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Utility database and records verifying the first performance-based condition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003336:53:0", "occurrence_id": "6760cb07d731a09dd7281f35", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n|Data source/ Agency|BWB database and records|\n|---|---|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review of HR records and operational database<br>|\n|<br> <br>**PBC 4**|<br>Customer satisfaction index|\n|**Description**|Increase in the Customer Satisfaction Index|\n|**Data source/ Agency**|Customer satisfaction survey|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Customer survey<br>|\n|<br> <br>**PBC 5**|<br>Percentage of BWB staff in decision-making roles who are female|\n|**Description**|Increase the Percentage of the Project Implementing Entity Staff in decision-making roles who are female|\n|**Data source/ Agency**|HR database and records|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review and verification of HR records<br>|\n\n\n\nPage 48 of 64\n\nMention: \"Customer satisfaction survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Survey producing the customer satisfaction index tied to PBC 4.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003336:53:0", "occurrence_id": "456c39ab0d240488ff493896", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n|Data source/ Agency|BWB database and records|\n|---|---|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review of HR records and operational database<br>|\n|<br> <br>**PBC 4**|<br>Customer satisfaction index|\n|**Description**|Increase in the Customer Satisfaction Index|\n|**Data source/ Agency**|Customer satisfaction survey|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Customer survey<br>|\n|<br> <br>**PBC 5**|<br>Percentage of BWB staff in decision-making roles who are female|\n|**Description**|Increase the Percentage of the Project Implementing Entity Staff in decision-making roles who are female|\n|**Data source/ Agency**|HR database and records|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review and verification of HR records<br>|\n\n\n\nPage 48 of 64\n\nMention: \"HR database and records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Personnel records verifying the share of female staff in decision-making roles.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003320:4:0", "occurrence_id": "40431c7a12dfe2415bb7699b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWAPP Ghana-Cote d'Ivoire Interconnection Project - Phase 1 WA-REMP MPA (P178923)\n\n\nExpanding electricity access will also boost productivity, support the digital economy, and enhance job creation and\nresilience.\n\n\nSectoral and Institutional Context\n\n5. **Only half of West Africa’s population has access to electricity, and the pace of electrification must triple** <sup>**6**</sup> [^6: Based on estimates from World Bank.] **for the**\n**region to achieve universal access by 2030.** Access to electricity in the region remains low at 52.6 percent (less than 50\npercent without Nigeria and less than 30 percent in the poorest ECOWAS countries). Despite the noticeable progress\nobserved over the last decades in terms of increasing electricity access rate which stood around 35 percent for the region\nin 2000, rapid electricity demand growth (~8-10% in many countries) and demographic pressure (average of ~2.5% at\ncountry level) are making it difficult to keep up with the target of universal access by 2030. With the current trends,\nelectrification pace will have to triple for this to materialize. Through ongoing projects – in line with the M300 Initiative and the identified pipeline, the World Bank has made a commitment to help bring electricity service to an additional 250\nmillion of people across SSA, of which above 100 million are to be found in West Africa.\n\n\n6. **Inadequate power supply and high energy costs due to reliance on imported fuels are key barriers to**\n**electrification and affect macro-fiscal stability and growth across countries.** Total installed generation capacity in the\nECOWAS region is 23.7 GW (2021), with a generation output like Czechia’s, whose population is only 2.5% of the ECOWAS\npopulation. Despite abundant energy resources, the high upfront costs make development unfeasible for most countries.\nMany rely\n\nMention: \"estimates from World Bank\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for the 52.6 percent regional electricity access rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003336:12:0", "occurrence_id": "1edcad39a7ef1430e4bf57ad", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWater and Sanitation Project - I (P178954)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Country Context**\n\n\n1. **Poverty remains stubbornly high in Malawi.** With over half of its population living below the national poverty\nline, which has remained virtually unchanged in the last decade, Malawi remains one of the poorest countries in the\nWorld. Between 2010 and 2019, the real gross domestic product (GDP) growth per capita remained largely flat and has\nhad a very limited impact on poverty reduction. <sup>1</sup> [^1: World Bank (2022) Malawi Poverty Assessment] Malawi ranked 142 out of 173 on the World Bank's Human Capital Index <sup>2</sup> [^2: World Bank. 2020. The Human Capital Index 2020 Update : Human Capital in the Time of COVID-19. World Bank, Washington, DC. ©\nWorld Bank. https://openknowledge.worldbank.org/handle/10986/34432 License: CC BY 3.0 IGO]\nin 2020 and 169 out of 189 countries on the United Nations Human Development Index <sup>3</sup> [^3: United Nations Development Program (2021) Human Development Index tables] in 2021. Although Malawian\nhouseholds have diversified to other sources, such as short-term labor ( _ganyu_ ), <sup>4</sup> [^4: A type of labor hired on a short-term basis, in a form of piecework weeding or ridging on other people’s farms or in non-farm sectors.] agriculture has remained the main\nincome source over the last ten years, albeit with persistently low returns. The transition from agriculture to higherreturn activities has been slowed, partly due to a lack of access to financing, market constraints, skill gaps, and high\nvulnerability to shocks.\n\n\n2. **Malawi is highly vulnerable to exogenous shocks.** According\n\nMention: \"Human Development Index tables\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks Malawi 169 of 189 countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003316:2:1", "occurrence_id": "3b418c6a0defea80258e7e12", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  services, and inadequate provision of opportunities for youth and the female labor force. Based on the\nHuman Capital Index (HCI), a child born in Morocco today will only be 50 percent as productive when she grows up as\nshe could be if she enjoyed complete education and full health, lower than the average for the Middle East and North\nAfrica (MENA) region, but higher than other lower middle-income countries. Between 2010 and 2020, Morocco’s HCI\nincreased from 0.47 to 0.50, but learning poverty is high. Though Morocco is benefitting from a demographic dividend\n(42 percent of the population was below age 25 in 2022), <sup>4</sup> the quality of the labor force is relatively low. To offer more\nquality jobs for youth and increase female labor force participation, Morocco will need to accelerate economic growth\nand job creation and build the human capital required to grow and compete in the 21st century.\n\n\n_1 WB, 2022, Morocco Economic Update April 2022._\n_2_ [WB, Country Economic Memorandum Morocco 2040: Emerging by Investing in Intangible Capital](https://openknowledge.worldbank.org/bitstream/handle/10986/28442/9781464810664.pdf?sequence=2&isAllowed=y) _. Poverty measurement is based on the national poverty line._\n_3_ [WB, 2023, Morocco Economic Update: Responding to Supply Shocks, Winter 2022/2023, February 2023](https://documents1.worldbank.org/curated/en/099332002132325417/pdf/IDU0e3742c55010a3044730a80a0ad6062acd9db.pdf) _._\n_4 HCP,_ [Annuaire statistique du Maroc 2022](https://www.hcp.\n\nMention: \"Annuaire statistique du Maroc 2022\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official statistical yearbook cited with a URL for the demographic and labour figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003336:52:0", "occurrence_id": "2bc37d94d5f6052e54d8bea8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n\n\n\n\n\n|Verification Protocol Table: Performance-Based Conditions|Col2|\n|---|---|\n|<br>**PBC 1**|<br>Non-Revenue Water for Blantyre Water System|\n|**Description**|Reduction of Non-Revenue Water.|\n|**Data source/ Agency**|Meter data from DMAs|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br> <br>|Claculations based on water production and billing records.<br> <br>|\n|<br> <br>**PBC 2**|<br>Working ratio for BWB|\n|**Description**|Reduction in Working Ratio|\n|**Data source/ Agency**|External and internal accounts for BWB|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review and verification of BWB financial data.<br>|\n|<br> <br>**PBC 3**|<br>Staff per 1000 connections|\n|**Description**|Reduction in number of staff per 1000 connections|\n\n\n\nPage 47 of 64\n\nMention: \"Meter data from DMAs\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"District-metered-area readings verifying the non-revenue water reduction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003336:52:0", "occurrence_id": "adbce061b878784016826441", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n\n\n\n\n\n|Verification Protocol Table: Performance-Based Conditions|Col2|\n|---|---|\n|<br>**PBC 1**|<br>Non-Revenue Water for Blantyre Water System|\n|**Description**|Reduction of Non-Revenue Water.|\n|**Data source/ Agency**|Meter data from DMAs|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br> <br>|Claculations based on water production and billing records.<br> <br>|\n|<br> <br>**PBC 2**|<br>Working ratio for BWB|\n|**Description**|Reduction in Working Ratio|\n|**Data source/ Agency**|External and internal accounts for BWB|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review and verification of BWB financial data.<br>|\n|<br> <br>**PBC 3**|<br>Staff per 1000 connections|\n|**Description**|Reduction in number of staff per 1000 connections|\n\n\n\nPage 47 of 64\n\nMention: \"water production and billing records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Records combined to calculate non-revenue water for verification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003336:52:0", "occurrence_id": "a1ed2bddc0087f6dba5cfe6d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n\n\n\n\n\n|Verification Protocol Table: Performance-Based Conditions|Col2|\n|---|---|\n|<br>**PBC 1**|<br>Non-Revenue Water for Blantyre Water System|\n|**Description**|Reduction of Non-Revenue Water.|\n|**Data source/ Agency**|Meter data from DMAs|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br> <br>|Claculations based on water production and billing records.<br> <br>|\n|<br> <br>**PBC 2**|<br>Working ratio for BWB|\n|**Description**|Reduction in Working Ratio|\n|**Data source/ Agency**|External and internal accounts for BWB|\n|**Verification Entity**|Independent verification agent|\n|**Procedure **<br>|Review and verification of BWB financial data.<br>|\n|<br> <br>**PBC 3**|<br>Staff per 1000 connections|\n|**Description**|Reduction in number of staff per 1000 connections|\n\n\n\nPage 47 of 64\n\nMention: \"BWB financial data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Accounts reviewed and verified to confirm the working ratio improvement.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003338:2:0", "occurrence_id": "eb7f413457c7c7e4c94b679e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n\nIDA Grant 130.00\n\n\n|Non-World Bank Group Financing|Col2|\n|---|---|\n|Counterpart Funding|4.00|\n|Borrower/Recipient|4.00<br>|\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\n\nCountry Context\n\n\n1. **Poverty remains stubbornly high in Malawi.** With over half of its population living below the national poverty\nline, which has remained virtually unchanged in the last decade, Malawi remains one of the poorest countries in the\nWorld. Between 2010 and 2019, Real Gross Domestic Product (GDP) growth per capita remained largely flat and has had\na very limited impact on poverty reduction. <sup>1</sup> [^1: World Bank (2022) Malawi Poverty Assessment] Malawi ranked 169 out of 189 countries on the United Nations Human\nDevelopment Index <sup>2</sup> [^2: UN Human Development Index tables] and 142 out of 173 on the World Bank's Human Capital Index <sup>3</sup> [^3: https://datacatalog.worldbank.org/int/] in 2021. Although Malawian\nhouseholds have diversified to other sources, such as short-term labor ( _ganyu_ ), <sup>4</sup> [^4: A type of labor hired on a daily basis or other short-term period, in a form of piecework weeding or ridging on other people’s\nfarms or in non-farm sectors, such as construction or gardening.] agriculture has remained the main\nincome source over the last ten years, albeit with persistently low returns. The transition from agriculture to higherreturn activities has been slowed, partly due to a lack of access to financing, market constraints, skill gaps, and high\nvulnerability to shocks.\n\n\n2. **Malawi is highly vulnerable to exogenous shocks.** According\n\nMention: \"United Nations Human\nDevelopment Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks Malawi 169 of 189 countries in 2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003361:3:2", "occurrence_id": "70b7663918fb5db85fa94834", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  challenges across the VC that limit their growth potential (e.g., most milk is marketed raw and cold chain\nis limited for milk and meat distribution), and include inadequate food safety regulations and enforcement, and a lack\nof quality standards, traceability, and certification schemes. <sup>11</sup> [^11: World Bank (2020): _Islamic Republic of Pakistan: Leveling the Playing Field (Systematic Country Diagnostic)._ World Bank, Washington DC.]\n\n\n**6.** **On-farm and off-farm constraints are exacerbated by challenges in access to finance.** Many farmers—especially\nsmall and medium farmers—lack the means to procure the working capital, productive assets, and technical assistance\n(TA) they would need to increase, diversify, add value to, and commercialize their production in a climate-smart way.\nCommercial banks are the primary formal lender to the agriculture sector with a 66 percent market share of\nagriculture lending. <sup>12</sup> [^12: State Bank of Pakistan (2022): https://www.sbp.org.pk/acd/Events/targets/2022/Analysis-June-2022.pdf; [accessed September 2022]] Agriculture lending is heavily skewed towards processing, with lending for food processing\n\n\n6 FAO, WFP, WHO, UNICEF (2020): Pakistan Overview of Food Security and Nutrition.\n7 For instance, total growth in demand over the period 2010-2019 increased notably in Pakistan: Milk: +34 percent; Eggs: +31 percent; Red Meat: +6 percent; Poultry\nmeat: +10 percent. Source: FAOSTAT (2022): Supply Utilization Accounts, 2019.\n[8 ITC export potential Map, https://exportpotential.intracen.org/en/. Accessed in October 2022](https://exportpotential.intracen.org/en/)\n9 Source: Bellinguez, A., and Memon, J. (2022): _Sindh’\n\nMention: \"Supply Utilization Accounts\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Accounts behind the 2010–2019 demand growth for milk, eggs and meats.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003361:3:2", "occurrence_id": "96723cfb2dcc34e9dfc9c8e6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  challenges across the VC that limit their growth potential (e.g., most milk is marketed raw and cold chain\nis limited for milk and meat distribution), and include inadequate food safety regulations and enforcement, and a lack\nof quality standards, traceability, and certification schemes. <sup>11</sup> [^11: World Bank (2020): _Islamic Republic of Pakistan: Leveling the Playing Field (Systematic Country Diagnostic)._ World Bank, Washington DC.]\n\n\n**6.** **On-farm and off-farm constraints are exacerbated by challenges in access to finance.** Many farmers—especially\nsmall and medium farmers—lack the means to procure the working capital, productive assets, and technical assistance\n(TA) they would need to increase, diversify, add value to, and commercialize their production in a climate-smart way.\nCommercial banks are the primary formal lender to the agriculture sector with a 66 percent market share of\nagriculture lending. <sup>12</sup> [^12: State Bank of Pakistan (2022): https://www.sbp.org.pk/acd/Events/targets/2022/Analysis-June-2022.pdf; [accessed September 2022]] Agriculture lending is heavily skewed towards processing, with lending for food processing\n\n\n6 FAO, WFP, WHO, UNICEF (2020): Pakistan Overview of Food Security and Nutrition.\n7 For instance, total growth in demand over the period 2010-2019 increased notably in Pakistan: Milk: +34 percent; Eggs: +31 percent; Red Meat: +6 percent; Poultry\nmeat: +10 percent. Source: FAOSTAT (2022): Supply Utilization Accounts, 2019.\n[8 ITC export potential Map, https://exportpotential.intracen.org/en/. Accessed in October 2022](https://exportpotential.intracen.org/en/)\n9 Source: Bellinguez, A., and Memon, J. (2022): _Sindh’\n\nMention: \"ITC export potential Map\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Tool used to assess export potential, cited with URL and access date.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003379:54:1", "occurrence_id": "0221f71acfe522efc3c0bfbd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the _Costa_ is\nirrigated, allowing Peru to produce high-value crops that are exported to international markets. Most of the agricultural\nland in Peru’s _Costa_ (along the Pacific Coast) is irrigated to sustain commercial agriculture.\n4. **Approximately two-thirds of the agricultural GDP is produced on** **_Costa_** **farmland.** <sup>**93**</sup> [^93: IV Censo Nacional Agropecuario 2012. INEI https://proyectos.inei.gob.pe/web/DocumentosPublicos/ResultadosFinalesIVCENAGRO.pdf] However, it is completely\ndependent on irrigation due to low levels of annual rainfall as agriculture would be much less productive without irrigation.\nOverall, the availability of irrigation technology and cultivation high-value crops have had a major impact on Costa’s rural\ndevelopment, as the region has registered the strongest growth in agricultural productivity. However, the inhabitants of\nthe _Costa_ suffer the full effects of ENSO; they are also affected by recurring droughts, periods without rain, and, to a lesser\nextent, high and extreme temperatures, forest fires, and strong winds.\n5. **Crops tend to achieve substantially higher yields in the** **_Costa_** **(than in the** **_Sierra_** **or** **_Selva)_** due to improved access\nto irrigation, more widespread mechanization, greater crop diversification (including towards more high-value crops),\nlarger farm sizes, and proximity to consumers and export markets. In contrast, the Sierra and Selva regions are difficult to\ntraverse, with isolated, remote communities (away from the Costa), thereby resulting in large development gaps.\nMoreover, lower population densities and inadequate infrastructure in many regions of the Sierra and Selva, hamper the\ndistribution of food and access to markets. Higher transportation costs also raise prices of agricultural products. <sup>94</sup>\n6. **The** **_Sierra_**\n\nMention: \"Censo Nacional Agropecuario 2012\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Agricultural census behind the claim that two-thirds of agricultural GDP comes from the Costa.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003338:3:2", "occurrence_id": "d23fb1141c127212e238bc63", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  informal sector, as many are\nin developing countries, sales decline by 35 percent, ruining livelihoods and stagnating economic growth. As part of the\n2014 World Bank Enterprise Survey (WBES) <sup>15</sup> in Malawi, firms reported experiencing an average of 6.7 electricity outages\nlasting about 3.5 hours. Firms also reported 5.3 days of insufficient water in a typical month, which is the highest\namongst comparable countries in the region and more than double the regional average for countries in Sub-Saharan\nAfrica (1.8 days in a typical month). Water outages were reported more prominently by enterprises in Blantyre compared\nto the other parts of the country. Except for the capital city, Lilongwe, much of the existing water supply infrastructure\n\n\n7 <u>[https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi](https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi)</u>\n8 World Bank (2022) Malawi Economic Monitor June 2022.\n9 World Bank (2022) Malawi Poverty Assessment\n10 National Statistics Office of Malawi (2021) Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report\n11 https://databank.worldbank.org/source/world-development-indicators\n12 National Statistics Office of Malawi (2020) The Fifth Integrated Household Survey 2020 Report\n13 Government of Malawi (2019) National Urban Policy\n14 Damania, R. et al (2017). Uncharted Waters: The New Economics of Water Scarcity and Variability. Washington DC, The\nWorld Bank\n15 https://microdata.worldbank.org/index.php/catalog/2358\n\n\nJan 08, 2023 Page 4 of 14\n\nMention: \"2014 World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Firms reported 6.7 electricity outages of about 3.5 hours and 5.3 days of water shortage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003338:3:2", "occurrence_id": "efdd18879f95bf879e191da2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  informal sector, as many are\nin developing countries, sales decline by 35 percent, ruining livelihoods and stagnating economic growth. As part of the\n2014 World Bank Enterprise Survey (WBES) <sup>15</sup> in Malawi, firms reported experiencing an average of 6.7 electricity outages\nlasting about 3.5 hours. Firms also reported 5.3 days of insufficient water in a typical month, which is the highest\namongst comparable countries in the region and more than double the regional average for countries in Sub-Saharan\nAfrica (1.8 days in a typical month). Water outages were reported more prominently by enterprises in Blantyre compared\nto the other parts of the country. Except for the capital city, Lilongwe, much of the existing water supply infrastructure\n\n\n7 <u>[https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi](https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi)</u>\n8 World Bank (2022) Malawi Economic Monitor June 2022.\n9 World Bank (2022) Malawi Poverty Assessment\n10 National Statistics Office of Malawi (2021) Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report\n11 https://databank.worldbank.org/source/world-development-indicators\n12 National Statistics Office of Malawi (2020) The Fifth Integrated Household Survey 2020 Report\n13 Government of Malawi (2019) National Urban Policy\n14 Damania, R. et al (2017). Uncharted Waters: The New Economics of Water Scarcity and Variability. Washington DC, The\nWorld Bank\n15 https://microdata.worldbank.org/index.php/catalog/2358\n\n\nJan 08, 2023 Page 4 of 14\n\nMention: \"Malawi Economic Monitor\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"June 2022 monitor cited among the sources for the macro and poverty context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003338:3:2", "occurrence_id": "bc30a205b5d2c153d08ab6e1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  informal sector, as many are\nin developing countries, sales decline by 35 percent, ruining livelihoods and stagnating economic growth. As part of the\n2014 World Bank Enterprise Survey (WBES) <sup>15</sup> in Malawi, firms reported experiencing an average of 6.7 electricity outages\nlasting about 3.5 hours. Firms also reported 5.3 days of insufficient water in a typical month, which is the highest\namongst comparable countries in the region and more than double the regional average for countries in Sub-Saharan\nAfrica (1.8 days in a typical month). Water outages were reported more prominently by enterprises in Blantyre compared\nto the other parts of the country. Except for the capital city, Lilongwe, much of the existing water supply infrastructure\n\n\n7 <u>[https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi](https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi)</u>\n8 World Bank (2022) Malawi Economic Monitor June 2022.\n9 World Bank (2022) Malawi Poverty Assessment\n10 National Statistics Office of Malawi (2021) Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report\n11 https://databank.worldbank.org/source/world-development-indicators\n12 National Statistics Office of Malawi (2020) The Fifth Integrated Household Survey 2020 Report\n13 Government of Malawi (2019) National Urban Policy\n14 Damania, R. et al (2017). Uncharted Waters: The New Economics of Water Scarcity and Variability. Washington DC, The\nWorld Bank\n15 https://microdata.worldbank.org/index.php/catalog/2358\n\n\nJan 08, 2023 Page 4 of 14\n\nMention: \"Malawi Multiple Indicator Cluster Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2019-20 MICS findings behind the water and sanitation access indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003338:3:2", "occurrence_id": "105cc8b2e90e32aed39a5cc3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  informal sector, as many are\nin developing countries, sales decline by 35 percent, ruining livelihoods and stagnating economic growth. As part of the\n2014 World Bank Enterprise Survey (WBES) <sup>15</sup> in Malawi, firms reported experiencing an average of 6.7 electricity outages\nlasting about 3.5 hours. Firms also reported 5.3 days of insufficient water in a typical month, which is the highest\namongst comparable countries in the region and more than double the regional average for countries in Sub-Saharan\nAfrica (1.8 days in a typical month). Water outages were reported more prominently by enterprises in Blantyre compared\nto the other parts of the country. Except for the capital city, Lilongwe, much of the existing water supply infrastructure\n\n\n7 <u>[https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi](https://www.gfdrr.org/en/feature-story/reducing-impact-natural-disasters-malawi)</u>\n8 World Bank (2022) Malawi Economic Monitor June 2022.\n9 World Bank (2022) Malawi Poverty Assessment\n10 National Statistics Office of Malawi (2021) Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report\n11 https://databank.worldbank.org/source/world-development-indicators\n12 National Statistics Office of Malawi (2020) The Fifth Integrated Household Survey 2020 Report\n13 Government of Malawi (2019) National Urban Policy\n14 Damania, R. et al (2017). Uncharted Waters: The New Economics of Water Scarcity and Variability. Washington DC, The\nWorld Bank\n15 https://microdata.worldbank.org/index.php/catalog/2358\n\n\nJan 08, 2023 Page 4 of 14\n\nMention: \"Integrated Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Fifth IHS report supplying household welfare and service access data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003361:5:1", "occurrence_id": "6f9c5800d1535cc501db431b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ), 7 million heads\nof poultry (4 percent of total), and over 80 percent of aquaculture ponds were lost in Sindh, resulting in total losses of\nUS$659 million.\n\n\n**9.** **Pakistan’s agriculture sector is also the single largest contributor to GHG emissions and livestock contributes 52**\n**percent thereof.** Pakistan contributes less than one percent to global emissions, but it is growing fast at over three\ntimes the global rate, according to data from 1990–2018. <sup>28</sup> [^28: World Bank (2022): _Pakistan – Country Climate and Development Report_ . Washington, DC.] Agriculture contributed over 38 percent of national\nemissions in 2015, in the form of methane from unsustainable livestock and manure management practices (52\npercent of agricultural emissions), nitrous oxide from agricultural soils and use of chemical fertilizers (46 percent), and\nrice cultivation and crop residue burning (seven percent). <sup>29</sup> [^29: Ministry of Climate Change. Government of Pakistan (2018): Pakistan’s second national communication on climate change. To the United Nations Framework\nConvention on Climate Change.] In addition, livestock waste can pose local environmental\nthreats such as water eutrophication, and overgrazing exacerbates land degradation and deforestation. Considering\nthe increased population growth and demand for livestock products, the livestock herd is projected to increase at an\nestimated three percent per annum, which will increase absolute GHG emissions and aggravate environmental\nimpacts. Aquaculture systems are currently mostly extensive with few production inputs and GHG emissions. Moving\nto intensive systems is expected to increase absolute emissions. In addition, a study conducted on water sources by\nSindh’s Environment Protection Agency showed that only 22 percent of fish farms complied with World Health\nOrganization standards, which raises concerns that the growth of the sector could lead to an increase in pollution and\nunsustainable practices. Introducing sustainable and climate-smart practices in livestock and aquaculture production\nhas the\n\nMention: \"data from 1990–2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Emissions series showing Pakistan growing at over three times the global rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003338:7:0", "occurrence_id": "5d8083ef7cfeccb1bff2b6ab", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMalawi: Water and Sanitation Project - 1 (P178954)\n\n\n14. **Poor sanitation is among the key public health issues and significantly affects the quality of life of Blantyre**\n**residents.** The provision of sanitation services is currently under the responsibility of the Blantyre City Council (BCC),\nwhich lacks the financial and technical muscle to adequately maintain the services. The sewerage infrastructure covers\nabout 16 percent of the population, while the majority rely on onsite sanitation systems. Most of the sewage generated\nin the city ends up in the environment without any treatment, either through leaks in the sewer lines or discharges from\nthe five wastewater treatment sites to several streams across the city. Recorded BOD effluent values for Soche, Blantyre,\nand Limbe indicate discharge values of 130mg/l, 382mg/l, and 86mg/l, respectively, against Malawi's Standard discharge\nvalue of 20mg/l. This situation is exacerbated by poor solid waste management. Less than 50 percent of the city's 472\ntons of solid waste generated daily <sup>27</sup> [^27: https://africancleancities.org/assets/data/Organization/Blantyre_EN.pdf] is collected and partially disposed of in an open dumping space, while the remaining\nwaste ends up in the open spaces in peri-urban areas, streams, roadsides, and drains. The heavy pollution of rivers and\nstreams has led to breeding disease vectors, loss of aquatic life and recreation activities, and a poor general outlook of\nthe city. The updated National Determined Contribution highlights the rehabilitation and reconstruction of wastewater\ntreatment plants (WTPs) in Blantyre as a mitigation priority with adaptation benefits. <sup>28</sup> [^28: Malawi: Updated National Determined Contribution, Government of Malawi, July 2021]\n\n\n15. **BWB and BCC** <sup>**29**</sup> **are embarking on an investment program to\n\nMention: \"Recorded BOD effluent values\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Measured discharge at Soche, Blantyre and Limbe far exceed the 20mg/l national standard.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003384:39:1", "occurrence_id": "4d2a34a3fa81107e53f06d4f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |Fayda registration data|\n|Methodology for Data Collection|Fayda data analytics platform|\n|Responsibility for Data Collection|NIDP|\n|**Number of whom are refugees (Number)**|**Number of whom are refugees (Number)**|\n|Description|Number of individuals registered in Fayda ID recognized as refugees by UNHCR/RRS|\n|Frequency|Biannual|\n|Data source|Fayda registration data and data from UNHCR|\n|Methodology for Data Collection|API shared between Fayda data analytics platform and reporting from UNHCR/RRS|\n|Responsibility for Data Collection|NIDP|\n|**Number of whom registered in remote and hard to reach areas (Number)**|**Number of whom registered in remote and hard to reach areas (Number)**|\n|Description|Number of people registered in areas classified by NIDP as \"remote and difficult to reach\" in their registration<br>strategy. These areas are characterized by a combination of limited infrastructure, geographical location,<br>population density, weather conditions, and restrictions due to conflicts or social conditions.|\n|Frequency|Bi-annual|\n|Data source|Fayda registration data and reporting from registration partners|\n|Methodology for Data Collection|Fayda data analytics platform|\n|Responsibility for Data Collection|NIDP|\n|**Service delivery for registered persons in Ethiopia is improved.**|**Service delivery for registered persons in Ethiopia is improved.**|\n|**Number of successful digital ID authentications by Fayda ID holders to access public and private sector services (Number)**|**Number of successful digital ID authentications by Fayda ID holders to access public and private sector services (Number)**|\n|Description|Number of successful authentications by individuals using their Fayda ID to access either public\n\nMention: \"Fayda registration data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"National ID registrations feeding the coverage indicator, drawn from the Fayda analytics platform.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003384:39:1", "occurrence_id": "8df06bd898325da55c8fbd42", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |Fayda registration data|\n|Methodology for Data Collection|Fayda data analytics platform|\n|Responsibility for Data Collection|NIDP|\n|**Number of whom are refugees (Number)**|**Number of whom are refugees (Number)**|\n|Description|Number of individuals registered in Fayda ID recognized as refugees by UNHCR/RRS|\n|Frequency|Biannual|\n|Data source|Fayda registration data and data from UNHCR|\n|Methodology for Data Collection|API shared between Fayda data analytics platform and reporting from UNHCR/RRS|\n|Responsibility for Data Collection|NIDP|\n|**Number of whom registered in remote and hard to reach areas (Number)**|**Number of whom registered in remote and hard to reach areas (Number)**|\n|Description|Number of people registered in areas classified by NIDP as \"remote and difficult to reach\" in their registration<br>strategy. These areas are characterized by a combination of limited infrastructure, geographical location,<br>population density, weather conditions, and restrictions due to conflicts or social conditions.|\n|Frequency|Bi-annual|\n|Data source|Fayda registration data and reporting from registration partners|\n|Methodology for Data Collection|Fayda data analytics platform|\n|Responsibility for Data Collection|NIDP|\n|**Service delivery for registered persons in Ethiopia is improved.**|**Service delivery for registered persons in Ethiopia is improved.**|\n|**Number of successful digital ID authentications by Fayda ID holders to access public and private sector services (Number)**|**Number of successful digital ID authentications by Fayda ID holders to access public and private sector services (Number)**|\n|Description|Number of successful authentications by individuals using their Fayda ID to access either public\n\nMention: \"Fayda registration data and data from UNHCR\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Combined registration and agency records to count refugees recognised under Fayda ID.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003435:3:3", "occurrence_id": "5c7f061d8bbdfa8d5469f66a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  International Trade Administration, 2022. Kazakhstan – Country Commercial Guide. Available at: https://www.trade.gov/country-commercialguides/kazakhstan-information-and-communication-technologies\n[10 Telegeography, 2022. Global Comms Database. Available at: https://www.telegeography.com/products/globalcomms/data/country-](https://www.telegeography.com/products/globalcomms/data/country-profiles/as/kazakhstan/kazakhstan.pdf)\n<u>[profiles/as/kazakhstan/kazakhstan.pdf.](https://www.telegeography.com/products/globalcomms/data/country-profiles/as/kazakhstan/kazakhstan.pdf)</u>\n11 Global System for Mobile Communications Association (GSMA) for 2022.\n\n\nOct 31, 2023 Page 4 of 8\n\nMention: \"Global Comms Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Commercial telecommunications database cited with URL for connectivity indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003410:2:0", "occurrence_id": "a776ec8770b5f9f5f957a3ef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros Interisland Connectivity Project SOP2 (P179109)\n\n\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n1. **Over the last decade, before the Coronavirus Disease 2019 (COVID-19) crisis began, the Union of Comoros**\n**(Comoros) has been growing steadily at an average growth rate of about 3 percent, reaching US$1,421 per capita in**\n**2020.** <sup>1</sup> Comoros is an archipelago composed of three main islands: Grand Comore, Anjouan and Moheli, with a total\npopulation of about 870,000. While Grand Comore accounts for half of the total population and is highly urbanized around\nthe capital, Moroni, other two islands, i.e., Anjouan and Moheli, are more rural-based economies with high agricultural,\nfishery and touristic potential (figure 1). The Comorian economy has historically depended on agriculture, which employs\nabout 60 percent of the total population and generates about 30 percent of GDP. Agricultural growth has been fluctuating\nbut remains important not only for growth but also to ensure food security and as a source of foreign exchange (figure 2).\nMoroni largely depends on Anjouan and Moheli for food supply (e.g., bananas, cassava, rice, maize, tomatoes). Export\ncrops, such as vanilla, ylang ylang, and cloves, are also important, accounting for about 80 percent of the country’s total\ngoods exports. <sup>2</sup>\n\n\n1 According to World Development Indicators.\n2 Based on FAOSTAT and World Development Indicators data for 2019.\n\n\nJun 21, 2022 Page 3 of 23\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited as the source for the poverty and population context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003410:2:0", "occurrence_id": "b5f03c20d9af823b15f4ff72", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros Interisland Connectivity Project SOP2 (P179109)\n\n\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n1. **Over the last decade, before the Coronavirus Disease 2019 (COVID-19) crisis began, the Union of Comoros**\n**(Comoros) has been growing steadily at an average growth rate of about 3 percent, reaching US$1,421 per capita in**\n**2020.** <sup>1</sup> Comoros is an archipelago composed of three main islands: Grand Comore, Anjouan and Moheli, with a total\npopulation of about 870,000. While Grand Comore accounts for half of the total population and is highly urbanized around\nthe capital, Moroni, other two islands, i.e., Anjouan and Moheli, are more rural-based economies with high agricultural,\nfishery and touristic potential (figure 1). The Comorian economy has historically depended on agriculture, which employs\nabout 60 percent of the total population and generates about 30 percent of GDP. Agricultural growth has been fluctuating\nbut remains important not only for growth but also to ensure food security and as a source of foreign exchange (figure 2).\nMoroni largely depends on Anjouan and Moheli for food supply (e.g., bananas, cassava, rice, maize, tomatoes). Export\ncrops, such as vanilla, ylang ylang, and cloves, are also important, accounting for about 80 percent of the country’s total\ngoods exports. <sup>2</sup>\n\n\n1 According to World Development Indicators.\n2 Based on FAOSTAT and World Development Indicators data for 2019.\n\n\nJun 21, 2022 Page 3 of 23\n\nMention: \"FAOSTAT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Agricultural output data used with WDI for the sector's export share.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003410:2:0", "occurrence_id": "ef11e08af37585e887844b14", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros Interisland Connectivity Project SOP2 (P179109)\n\n\n\n\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n1. **Over the last decade, before the Coronavirus Disease 2019 (COVID-19) crisis began, the Union of Comoros**\n**(Comoros) has been growing steadily at an average growth rate of about 3 percent, reaching US$1,421 per capita in**\n**2020.** <sup>1</sup> Comoros is an archipelago composed of three main islands: Grand Comore, Anjouan and Moheli, with a total\npopulation of about 870,000. While Grand Comore accounts for half of the total population and is highly urbanized around\nthe capital, Moroni, other two islands, i.e., Anjouan and Moheli, are more rural-based economies with high agricultural,\nfishery and touristic potential (figure 1). The Comorian economy has historically depended on agriculture, which employs\nabout 60 percent of the total population and generates about 30 percent of GDP. Agricultural growth has been fluctuating\nbut remains important not only for growth but also to ensure food security and as a source of foreign exchange (figure 2).\nMoroni largely depends on Anjouan and Moheli for food supply (e.g., bananas, cassava, rice, maize, tomatoes). Export\ncrops, such as vanilla, ylang ylang, and cloves, are also important, accounting for about 80 percent of the country’s total\ngoods exports. <sup>2</sup>\n\n\n1 According to World Development Indicators.\n2 Based on FAOSTAT and World Development Indicators data for 2019.\n\n\nJun 21, 2022 Page 3 of 23\n\nMention: \"World Development Indicators data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National accounts and trade figures behind the 80 percent export share.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003409:10:0", "occurrence_id": "1169cad4ac1321bfef5450a9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros Interisland Connectivity Project SOP2 (P179109)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Country Context**\n\n\n1. **The Union of the Comoros (the Comoros) is an archipelago in the Indian Ocean with a total population of about**\n**837,000.** The Comorian economy is historically dependent on agriculture but has been driven more by the service sector\nin recent years (Figure 1). Significant economic diversity exists among the islands. While Grand Comore, with half of the\ntotal population, is highly urbanized around the capital, Moroni, the other two islands, Anjouan and Moheli, are more\nrural-based economies with high agricultural and touristic potential (Figure 2). The agriculture sector employs about 60\npercent of the total population, generating about 30 percent of gross domestic product (GDP), and earning about 80\npercent of the country’s foreign exchange (vanilla, ylang ylang, and cloves). <sup>1</sup> [^1: Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.] The latest development vision by the\nGovernment, Plan Comores Emergent 2020–30, envisages potential growth in not only agribusiness but also coastal\ntourism and fishery as the blue economy. The service sector is growing around Moroni. However, the national markets\nremain fragmented because of poor connectivity among and within the islands.\n\n|Figure 1. Growth Contribution by Key Sector, 2010-2022|Figure 2. Agricultural Production and Transport Network|\n|---|---|\n|||\n|_Source:_ World Development Indicators, 2010-2022.|_Source:_ Based on Enquête 1-2-3 by Comorian National Institute<br>of Statistics and Economic and Demographic Studies.|\n\n\n\n2. **The recent global crises revealed the country’s high vulnerability to external shocks, reconfirming the**\n**importance\n\nMention: \"Food and Agricultural Organization Corporate Statistical Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies agriculture's employment, GDP and foreign-exchange shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003409:10:0", "occurrence_id": "bad5fd2720fad9a62e2cf3a7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros Interisland Connectivity Project SOP2 (P179109)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Country Context**\n\n\n1. **The Union of the Comoros (the Comoros) is an archipelago in the Indian Ocean with a total population of about**\n**837,000.** The Comorian economy is historically dependent on agriculture but has been driven more by the service sector\nin recent years (Figure 1). Significant economic diversity exists among the islands. While Grand Comore, with half of the\ntotal population, is highly urbanized around the capital, Moroni, the other two islands, Anjouan and Moheli, are more\nrural-based economies with high agricultural and touristic potential (Figure 2). The agriculture sector employs about 60\npercent of the total population, generating about 30 percent of gross domestic product (GDP), and earning about 80\npercent of the country’s foreign exchange (vanilla, ylang ylang, and cloves). <sup>1</sup> [^1: Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.] The latest development vision by the\nGovernment, Plan Comores Emergent 2020–30, envisages potential growth in not only agribusiness but also coastal\ntourism and fishery as the blue economy. The service sector is growing around Moroni. However, the national markets\nremain fragmented because of poor connectivity among and within the islands.\n\n|Figure 1. Growth Contribution by Key Sector, 2010-2022|Figure 2. Agricultural Production and Transport Network|\n|---|---|\n|||\n|_Source:_ World Development Indicators, 2010-2022.|_Source:_ Based on Enquête 1-2-3 by Comorian National Institute<br>of Statistics and Economic and Demographic Studies.|\n\n\n\n2. **The recent global crises revealed the country’s high vulnerability to external shocks, reconfirming the**\n**importance\n\nMention: \"World Development Indicators data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited jointly with FAOSTAT for the sectoral structure figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003409:10:0", "occurrence_id": "b6aafcf0e945e6c379a499f3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros Interisland Connectivity Project SOP2 (P179109)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Country Context**\n\n\n1. **The Union of the Comoros (the Comoros) is an archipelago in the Indian Ocean with a total population of about**\n**837,000.** The Comorian economy is historically dependent on agriculture but has been driven more by the service sector\nin recent years (Figure 1). Significant economic diversity exists among the islands. While Grand Comore, with half of the\ntotal population, is highly urbanized around the capital, Moroni, the other two islands, Anjouan and Moheli, are more\nrural-based economies with high agricultural and touristic potential (Figure 2). The agriculture sector employs about 60\npercent of the total population, generating about 30 percent of gross domestic product (GDP), and earning about 80\npercent of the country’s foreign exchange (vanilla, ylang ylang, and cloves). <sup>1</sup> [^1: Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.] The latest development vision by the\nGovernment, Plan Comores Emergent 2020–30, envisages potential growth in not only agribusiness but also coastal\ntourism and fishery as the blue economy. The service sector is growing around Moroni. However, the national markets\nremain fragmented because of poor connectivity among and within the islands.\n\n|Figure 1. Growth Contribution by Key Sector, 2010-2022|Figure 2. Agricultural Production and Transport Network|\n|---|---|\n|||\n|_Source:_ World Development Indicators, 2010-2022.|_Source:_ Based on Enquête 1-2-3 by Comorian National Institute<br>of Statistics and Economic and Demographic Studies.|\n\n\n\n2. **The recent global crises revealed the country’s high vulnerability to external shocks, reconfirming the**\n**importance\n\nMention: \"Enquête 1-2-3\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household survey behind the agricultural production and transport network figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003435:2:2", "occurrence_id": "8e8673998d3a03cd5143f0ae", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /en/country/kazakhstan/publication/cpf-2020-2025)</u>\n2 GDP per capita (current US$), as reported by the World Development Indicators based on World Bank national accounts data. Available at:\nhttps://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=KZ\n3 Based on the middle-income countries (MIC) poverty line of US$5.5 / day (2011 PPP).\n4 World Bank, 2018. Kazakhstan - Systematic Country Diagnostic: A New Growth Model for Building a Secure Middle Class (Report No. 125611).\nAvailable at : <u>[https://documents.worldbank.org/en/publication/documents-reports/documentdetail/664531525455037169/kazakhstan-systematic-](https://documents.worldbank.org/en/publication/documents-reports/documentdetail/664531525455037169/kazakhstan-systematic-country-diagnostic-a-new-growth-model-for-building-a-secure-middle-class)</u>\n<u>[country-diagnostic-a-new-growth-model-for-building-a-secure-middle-class](https://documents.worldbank.org/en/publication/documents-reports/documentdetail/664531525455037169/kazakhstan-systematic-country-diagnostic-a-new-growth-model-for-building-a-secure-middle-class)</u> _<u>.</u>_\n5 World Bank, 2019. Kazakhstan: Reversing Productivity Stagnation – Country Economic Memorandum (Report No. 134720). Available at:\n<u>[https://documents.world\n\nMention: \"World Bank national accounts data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National accounts underlying the GDP per capita series, cited with its indicator URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003409:10:1", "occurrence_id": "918593409590ccfa291b4679", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ête 1-2-3 by Comorian National Institute<br>of Statistics and Economic and Demographic Studies.|\n\n\n\n2. **The recent global crises revealed the country’s high vulnerability to external shocks, reconfirming the**\n**importance of efficient international trade and connectivity as well as inclusive growth for sustainable growth.** Over\nthe last decade, despite various recent external shocks, the Comoros was growing steadily at an average growth rate of\nabout 2.5 percent, reaching US$1,405 per capita in 2022. <sup>2</sup> The Comoros imports many commodities, including food and\noil products, construction materials and consumer goods. Because of high international commodity prices, inflation picked\nup to 12.4 percent in 2022, though it is expected to stabilize in 2024. <sup>3</sup> Despite the country’s agricultural potential, domestic\nfood prices have particularly increased, with consumer prices of vegetables, for instance, doubling over 2021-23. <sup>4</sup> The\nprice differentials remain significant among the islands, indicating untapped efficiency gains from the domestic market\nintegration. Food products are about 40 percent more expensive in Grande Comore than in Moheli and Anjouan (Figure\n\n\n1 Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.\n2 According to World Development Indicators (as of October 2023), and World Bank Macroeconomic Poverty Outlook (October 2023).\n3 International Monetary Fund. 2023. _Union of The Comoros: Request for a Four-Year Arrangement under the Extended Credit Facility – Press_\n_Release; Staff Report; Staff Supplement; and Statement by the Executive Director for the Union of the Comoros._ IMF Country Report No. 23/215.\n4 According to the Consumer Price Index (July 2023) published by the National Institute of Statistics and Economic and Demographic.\n\n1\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited as of October 2023 for the macro and price comparisons.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003409:10:1", "occurrence_id": "1dd0cd221360b8cf4cedeca2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ête 1-2-3 by Comorian National Institute<br>of Statistics and Economic and Demographic Studies.|\n\n\n\n2. **The recent global crises revealed the country’s high vulnerability to external shocks, reconfirming the**\n**importance of efficient international trade and connectivity as well as inclusive growth for sustainable growth.** Over\nthe last decade, despite various recent external shocks, the Comoros was growing steadily at an average growth rate of\nabout 2.5 percent, reaching US$1,405 per capita in 2022. <sup>2</sup> The Comoros imports many commodities, including food and\noil products, construction materials and consumer goods. Because of high international commodity prices, inflation picked\nup to 12.4 percent in 2022, though it is expected to stabilize in 2024. <sup>3</sup> Despite the country’s agricultural potential, domestic\nfood prices have particularly increased, with consumer prices of vegetables, for instance, doubling over 2021-23. <sup>4</sup> The\nprice differentials remain significant among the islands, indicating untapped efficiency gains from the domestic market\nintegration. Food products are about 40 percent more expensive in Grande Comore than in Moheli and Anjouan (Figure\n\n\n1 Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.\n2 According to World Development Indicators (as of October 2023), and World Bank Macroeconomic Poverty Outlook (October 2023).\n3 International Monetary Fund. 2023. _Union of The Comoros: Request for a Four-Year Arrangement under the Extended Credit Facility – Press_\n_Release; Staff Report; Staff Supplement; and Statement by the Executive Director for the Union of the Comoros._ IMF Country Report No. 23/215.\n4 According to the Consumer Price Index (July 2023) published by the National Institute of Statistics and Economic and Demographic.\n\n1\n\nMention: \"World Bank Macroeconomic Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"October 2023 outlook supplying the macroeconomic projections.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003409:10:1", "occurrence_id": "d0c438f9e2c43c421dd5765d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ête 1-2-3 by Comorian National Institute<br>of Statistics and Economic and Demographic Studies.|\n\n\n\n2. **The recent global crises revealed the country’s high vulnerability to external shocks, reconfirming the**\n**importance of efficient international trade and connectivity as well as inclusive growth for sustainable growth.** Over\nthe last decade, despite various recent external shocks, the Comoros was growing steadily at an average growth rate of\nabout 2.5 percent, reaching US$1,405 per capita in 2022. <sup>2</sup> The Comoros imports many commodities, including food and\noil products, construction materials and consumer goods. Because of high international commodity prices, inflation picked\nup to 12.4 percent in 2022, though it is expected to stabilize in 2024. <sup>3</sup> Despite the country’s agricultural potential, domestic\nfood prices have particularly increased, with consumer prices of vegetables, for instance, doubling over 2021-23. <sup>4</sup> The\nprice differentials remain significant among the islands, indicating untapped efficiency gains from the domestic market\nintegration. Food products are about 40 percent more expensive in Grande Comore than in Moheli and Anjouan (Figure\n\n\n1 Food and Agricultural Organization Corporate Statistical Database (FAOSTAT) and World Development Indicators data for 2019.\n2 According to World Development Indicators (as of October 2023), and World Bank Macroeconomic Poverty Outlook (October 2023).\n3 International Monetary Fund. 2023. _Union of The Comoros: Request for a Four-Year Arrangement under the Extended Credit Facility – Press_\n_Release; Staff Report; Staff Supplement; and Statement by the Executive Director for the Union of the Comoros._ IMF Country Report No. 23/215.\n4 According to the Consumer Price Index (July 2023) published by the National Institute of Statistics and Economic and Demographic.\n\n1\n\nMention: \"Consumer Price Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"July 2023 CPI behind the inter-island price differential.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003448:4:2", "occurrence_id": "9295e76bf97c25ac145b5fff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: </sup> Moreover, access to\nTVET for the poor and disadvantaged is assumed to be constrained by factors including cost, opportunity cost, and\nlack of educational prerequisites. The Gambia recently established a mechanism for recognition of prior learning\n(RPL), which could particularly benefit those without formal qualifications who seek more education and training, but\nmore is needed to enhance the emerging RPL program. To increase access outside the capital region, the GoTG has\nplans to situate new or enhanced TVET institutions, focused on priority sectors, in the inland regions.\n\n\n15. **The gender distribution of students among TVET institutions is surprisingly skewed towards females.** TVET surveys\nconducted in 2017 and 2019 showed that girls and women comprised almost 60 percent of enrolled learners and\n\n\n[14 The Gambia’s Youth Employment Program, accessed on November 14, 2022.](https://yep.gm/)\n15 ITC. 2019. The Gambia Technical and Vocational Education and Training (TVET) Roadmap 2020-2024\n\n\nDec 04, 2022 Page 5 of 11\n\nMention: \"TVET surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"2017 and 2019 surveys showing women were almost 60 percent of enrolled learners.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003470:2:1", "occurrence_id": "669cb05b5c391d28f0170de3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\nThese effects of the war on the poor stem from increasing energy, fertilizer, and food prices. Despite the high degree of\nuncertainty, growth could reach 10 percent by 2024 thanks to the country’s boom in oil production.\n\n\n3. Food and nutrition insecurity is a major concern for Niger. Rapid population growth, combined with persistent\nlow agricultural productivity, climatic change and environmental degradation is exerting unsustainable pressure on food\nsupplies. Food insecurity peaks in the lean season (June to August), when farmers wait for the annual season crop harvests.\nThe food security data from the regional Harmonized Framework (March 2022) showed more than 4.4 million people at\nhigh risk of food insecurity during the 2022 lean season. Data from November 2022, following a very good agriculture\nseason, shows more than 2.8 million people are estimated to be at high risk of food insecurity during the 2023 lean season.\nMalnutrition is also widespread, especially among children. Niger’s global acute malnutrition is estimated at 12.7 percent,\nand 42 percent of children under 5 years are stunted. Several factors contribute to Niger’s food and nutrition insecurity,\nincluding high fertility rates, low agriculture and livestock productivity, land degradation and desertification, climate\nchange and extreme weather events, and more recently, conflicts affecting farm activities.\n\n\n4. Niger is exposed to multiple risks of fragility, conflict, and violence. Transnational security threats have increased\nconsiderably in recent years, with spillover effects and attacks by non-state armed groups on the borders with Mali and\nBurkina Faso in the south-west (Tillabéri and Tahoua regions), in the Lake Chad area bordering Nigeria, and Chad in the\neast (Diffa region). In the eastern region bordering Lake Chad and Nigeria, the Boko Haram insurgency has created a\nsecurity threat and humanitarian crisis for the country. Niger has also faced endogenous crises and conflicts, including\narmed group and intra- and inter-community clashes which have forcibly displaced\n\nMention: \"food security data from the regional Harmonized Framework\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"March 2022 round showing 4.4 million at high risk in the lean season.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003470:2:1", "occurrence_id": "dd361a7602cf7f7225a12812", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\nThese effects of the war on the poor stem from increasing energy, fertilizer, and food prices. Despite the high degree of\nuncertainty, growth could reach 10 percent by 2024 thanks to the country’s boom in oil production.\n\n\n3. Food and nutrition insecurity is a major concern for Niger. Rapid population growth, combined with persistent\nlow agricultural productivity, climatic change and environmental degradation is exerting unsustainable pressure on food\nsupplies. Food insecurity peaks in the lean season (June to August), when farmers wait for the annual season crop harvests.\nThe food security data from the regional Harmonized Framework (March 2022) showed more than 4.4 million people at\nhigh risk of food insecurity during the 2022 lean season. Data from November 2022, following a very good agriculture\nseason, shows more than 2.8 million people are estimated to be at high risk of food insecurity during the 2023 lean season.\nMalnutrition is also widespread, especially among children. Niger’s global acute malnutrition is estimated at 12.7 percent,\nand 42 percent of children under 5 years are stunted. Several factors contribute to Niger’s food and nutrition insecurity,\nincluding high fertility rates, low agriculture and livestock productivity, land degradation and desertification, climate\nchange and extreme weather events, and more recently, conflicts affecting farm activities.\n\n\n4. Niger is exposed to multiple risks of fragility, conflict, and violence. Transnational security threats have increased\nconsiderably in recent years, with spillover effects and attacks by non-state armed groups on the borders with Mali and\nBurkina Faso in the south-west (Tillabéri and Tahoua regions), in the Lake Chad area bordering Nigeria, and Chad in the\neast (Diffa region). In the eastern region bordering Lake Chad and Nigeria, the Boko Haram insurgency has created a\nsecurity threat and humanitarian crisis for the country. Niger has also faced endogenous crises and conflicts, including\narmed group and intra- and inter-community clashes which have forcibly displaced\n\nMention: \"Data from November 2022\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Later round showing 2.8 million at risk for 2023 after a good season.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003483:4:1", "occurrence_id": "a9c819cc2b10504f8444ce7b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (> 5m wide, >5m deep) in several cities (e.g., Kinshasa,\nKananga, Bukavu, Uvira (Sud-Kivu), Gemena (Sud-Ubangi), Boende (Tshuapa), Lisala, and Bumba\n(Mongala)) has been linked to human activities and to increasing urbanization. Erosion phenomena will\nbe amplified by climate change, as more intense rainfall accelerates the pace of erosion. <sup>8</sup>\n\n\n8. **DRC’s FCV context exacerbates gender gaps, contributing to continually high rates of Gender-Based**\n**Violence (GBV) and leading to a poor ranking on global indicators of gender equality.** In 2019, DRC\nranked 150 <sup>th</sup> out of 162 countries in the United Nations Gender Inequality Index, while it ranked in the\nbottom group on the Gender Development Index. <sup>9</sup> GBV is a pervasive and societal issue. According to the\n2013–14 Data Household Survey (DHS), 52 percent of Congolese women and girls have experienced\nphysical violence, and 27 percent of women reported they had been victim to physical violence over the\npast 12 months. Women’s economic disadvantage is illustrated by earning differences between sexes as\nmale workers tend to earn 42-57 percent more than female workers with similar employment\ncharacteristics. A 2021 DRC Gender Diagnostic Report <sup>10</sup> identified three key constraints to persistent and\nsignificant gender gaps in DRC: control over land; voice and agency; and risk and uncertainty.\n\n\n9. **Enduring political instability and cycles of conflict have led to weak governance and institutions,**\n**hampering reform implementation, service delivery, and private sector growth.** This instability also\nbreeds and reinforces corruption. The judicial system\n\nMention: \"2013–14 Data Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey in which 52 percent of women and girls experienced physical violence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003448:6:2", "occurrence_id": "ee261fbb3c82d4a1f74583ee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: a program.\n\n\n26. **The Gambia Social Registry (GamSR) has been launched and has completed data collection for most districts.** Data\ncollection has been completed for 36 out of 43 districts (with 63,439 households recorded) and good progress has\nbeen made to operationalize the Social Registry Information System (SRIS) to manage, maintain, and share the\nGamSR data.\n\n\n27. **The government has recently expressed its interest in adding an economic inclusion module to its social safety net**\n**program.** Early data from the cash transfers initiative indicate that beneficiaries have used some of their cash to\ninvest in existing small enterprises. Economic inclusion activities provide a comprehensive set of support to\nindividuals and groups to enable them initiate and/or expand micro enterprises, in a sustainable manner. Such\ninterventions, therefore, are useful to supporting beneficiaries out of poverty. The Department of Community\nDevelopment, and some NGOs have implemented similar programming at small scales.\n\n\nDec 04, 2022 Page 7 of 11\n\nMention: \"GamSR data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Social registry data for 63,439 households to be managed and shared through the SRIS.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003448:5:0", "occurrence_id": "ae136273feb9b64d40d792f0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nThe Gambia Human Capital Development Project (P179233)\n\n\ngraduates. More recent data from the TVET Monitoring and Information System (TVET MIS) show an even larger\nshare of female learners, 62 percent, compared to 34 percent of male learners. Since this makes The Gambia a\npositive outlier in the region, more detailed analysis is required. More gender analysis for TVET in The Gambia is\nneeded to address the lack of information on the fields or qualification levels where females are enrolled and on their\nrelative performance. Limited to no information is available on TVET students with disabilities.\n\n\n_16._ **At the system level, TVET performance and decision-making is hindered by a lack of data, limited stakeholder**\n**coordination, and a lack of funding.** On data, the TVET MIS is still rudimentary, concentrating on basic data providers\nand learner data for formal TVET, and lacking information on performance and labor market information. On\nstakeholder coordination, its importance is recognized in the TVET policy, and the GoTG recently established the\nNational TVET Committee and several Sector Skills Councils. On financing, it is widely recognized that funding for\nTVET, while improving, is insufficient. The current public TVET funding model lacks transparency and accountability.\n\n\n_Foundational Skills and Learning_\n\n\n17. **Foundational learning remains a binding constraint for the education system and skills development** . Though\nofficial Learning Poverty data are not available, proxy estimates utilizing the 2020 Education Service Delivery\nIndicators suggest that approximately 90% of 10-year-olds in The Gambia are likely unable to read and understand a\nshort text. To understand how students’ progress on key reading sub-skills, The Gambia has a long history of applying\nEarly Grade Reading Assessments (EGRA) to monitor the acquisition of foundational literacy in the early grades. In\nthe 2016 EGRA, grade 1-3 students,\n\nMention: \"TVET Monitoring and Information System\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows 62 percent female learners against 34 percent male, making The Gambia an outlier.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003448:5:0", "occurrence_id": "9fdb985a1f834199e27609ae", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nThe Gambia Human Capital Development Project (P179233)\n\n\ngraduates. More recent data from the TVET Monitoring and Information System (TVET MIS) show an even larger\nshare of female learners, 62 percent, compared to 34 percent of male learners. Since this makes The Gambia a\npositive outlier in the region, more detailed analysis is required. More gender analysis for TVET in The Gambia is\nneeded to address the lack of information on the fields or qualification levels where females are enrolled and on their\nrelative performance. Limited to no information is available on TVET students with disabilities.\n\n\n_16._ **At the system level, TVET performance and decision-making is hindered by a lack of data, limited stakeholder**\n**coordination, and a lack of funding.** On data, the TVET MIS is still rudimentary, concentrating on basic data providers\nand learner data for formal TVET, and lacking information on performance and labor market information. On\nstakeholder coordination, its importance is recognized in the TVET policy, and the GoTG recently established the\nNational TVET Committee and several Sector Skills Councils. On financing, it is widely recognized that funding for\nTVET, while improving, is insufficient. The current public TVET funding model lacks transparency and accountability.\n\n\n_Foundational Skills and Learning_\n\n\n17. **Foundational learning remains a binding constraint for the education system and skills development** . Though\nofficial Learning Poverty data are not available, proxy estimates utilizing the 2020 Education Service Delivery\nIndicators suggest that approximately 90% of 10-year-olds in The Gambia are likely unable to read and understand a\nshort text. To understand how students’ progress on key reading sub-skills, The Gambia has a long history of applying\nEarly Grade Reading Assessments (EGRA) to monitor the acquisition of foundational literacy in the early grades. In\nthe 2016 EGRA, grade 1-3 students,\n\nMention: \"2020 Education Service Delivery\nIndicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Proxy source for learning poverty, suggesting 90 percent of 10-year-olds cannot read.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003435:4:2", "occurrence_id": "9a0e34303081e0d18cea9f07", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the proposed Project underpins Objective 1 (Strengthening Environment\nfor Private Sector Development) and Objective 3 (Strengthening Connectivity Infrastructure and Regional Services Delivery\nfor Better Local and Regional Integration) by supporting legal and regulatory reforms leveling the playing field in telecom,\nwhile improving digital connectivity and broadband service delivery.\n\n\n**C. Proposed Development Objective(s)**\n\n\n9. Support equitable access to high-quality and resilient broadband infrastructure in selected unserved and\nunderserved areas of Kazakhstan.\n\n\nKey Results (From PCN)\n\n\n12 Law of the Republic of Kazakhstan of July 5, 2004 No. 567-II \"About communication\" (as amended on 02.07.2020) (“Communications Law”) (unofficial translation).\nAvailable at: _https://cis-legislation.com/document.fwx?rgn=6622_\n13 For instance, the latest change introduced cross-sector infrastructure sharing provisions with the electricity sector.\n14 Kazakhstan National Bureau of Statistics. Statistics of Information and Communication Technologies. Available at: _https://stat.gov.kz/official/industry/29/statistic/7_\n15 Wiley, 2021. The Digital Skills Gap Index (GSGI). Available at: _https://dsgi.wiley.com/global-rankings/_\n16 World Bank, 2020. Kazakhstan Country Partnership Framework for 2020-2025 (Report No. 143372). Available at:\n<u>[https://www.worldbank.org/en/country/kazakhstan/publication/cpf-2020-2025.](https://www.worldbank.org/en/country/kazakhstan/publication/cpf-2020-2025)</u>\n\n\nOct 31, 2023 Page 5 of 8\n\nMention: \"Statistics of Information and Communication Technologies\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official telecom statistics cited with URL for the sector's regulatory context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003435:4:2", "occurrence_id": "f3a54c7d6e57fb7bb4da2a9f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the proposed Project underpins Objective 1 (Strengthening Environment\nfor Private Sector Development) and Objective 3 (Strengthening Connectivity Infrastructure and Regional Services Delivery\nfor Better Local and Regional Integration) by supporting legal and regulatory reforms leveling the playing field in telecom,\nwhile improving digital connectivity and broadband service delivery.\n\n\n**C. Proposed Development Objective(s)**\n\n\n9. Support equitable access to high-quality and resilient broadband infrastructure in selected unserved and\nunderserved areas of Kazakhstan.\n\n\nKey Results (From PCN)\n\n\n12 Law of the Republic of Kazakhstan of July 5, 2004 No. 567-II \"About communication\" (as amended on 02.07.2020) (“Communications Law”) (unofficial translation).\nAvailable at: _https://cis-legislation.com/document.fwx?rgn=6622_\n13 For instance, the latest change introduced cross-sector infrastructure sharing provisions with the electricity sector.\n14 Kazakhstan National Bureau of Statistics. Statistics of Information and Communication Technologies. Available at: _https://stat.gov.kz/official/industry/29/statistic/7_\n15 Wiley, 2021. The Digital Skills Gap Index (GSGI). Available at: _https://dsgi.wiley.com/global-rankings/_\n16 World Bank, 2020. Kazakhstan Country Partnership Framework for 2020-2025 (Report No. 143372). Available at:\n<u>[https://www.worldbank.org/en/country/kazakhstan/publication/cpf-2020-2025.](https://www.worldbank.org/en/country/kazakhstan/publication/cpf-2020-2025)</u>\n\n\nOct 31, 2023 Page 5 of 8\n\nMention: \"Digital Skills Gap Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"International ranking used to position the country's digital skills shortfall.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003491:13:2", "occurrence_id": "d2b021df592d8e1c4d3e9be6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\n\n\n6. **In addition to the unfinished RMNCH agenda, the state needs to address the emerging double**\n**burden of disease.** Like in most Indian states, the burden of noncommunicable diseases (NCDs) is growing\nin Assam—56 percent of poor health is due to NCDs. <sup>11</sup> [^11: NHSRC (National Health Systems Resource Centre). _Health Dossier 2021: Reflections on Key Health Indicators, Assam_ .] The NCD burden in the state is slightly lower than\n\n\n2 Directorate of Economics and Statistics, Government of Assam.\n3 Reserve Bank of India. 2020. _Handbook of Statistics on Indian Economy, Table 154_ .\n4 India’s multidimensional poverty metric includes indicators in health (child and adolescent mortality, antenatal care, nutrition), education\n(years of schooling, school attendance), and standard of living (cooking fuel, sanitation, drinking water, electricity, housing, assets, bank\naccount).\n[5 https://www.niti.gov.in/sites/default/files/2021-11/National_MPI_India-11242021.pdf.](https://www.niti.gov.in/sites/default/files/2021-11/National_MPI_India-11242021.pdf)\n6 State Estimates for 2021 from Population Projection for Indian States (2011–2036). Registrar General and Census Commission of India.\n7 Periodic Labor Force Survey (PLFS); 2020–21.\n[8 National Family Health Survey (NFHS) 2015–2016 and 2005–2006. http://rchiips.org/nfhs/.](http://rchiips.org/nfhs/)\n9 Special Bulletins on MMR by Registrar General of India 2007–2009, 2018–2020.\n[10 NFHS 2019–2021 and 2005–2006. http://rchiips.org/nfhs/\n\nMention: \"Population Projection for Indian States\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Provides 2021 state population estimates from the 2011–2036 projection series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003491:13:2", "occurrence_id": "d78d59594876f81d0a1b7cc1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\n\n\n6. **In addition to the unfinished RMNCH agenda, the state needs to address the emerging double**\n**burden of disease.** Like in most Indian states, the burden of noncommunicable diseases (NCDs) is growing\nin Assam—56 percent of poor health is due to NCDs. <sup>11</sup> [^11: NHSRC (National Health Systems Resource Centre). _Health Dossier 2021: Reflections on Key Health Indicators, Assam_ .] The NCD burden in the state is slightly lower than\n\n\n2 Directorate of Economics and Statistics, Government of Assam.\n3 Reserve Bank of India. 2020. _Handbook of Statistics on Indian Economy, Table 154_ .\n4 India’s multidimensional poverty metric includes indicators in health (child and adolescent mortality, antenatal care, nutrition), education\n(years of schooling, school attendance), and standard of living (cooking fuel, sanitation, drinking water, electricity, housing, assets, bank\naccount).\n[5 https://www.niti.gov.in/sites/default/files/2021-11/National_MPI_India-11242021.pdf.](https://www.niti.gov.in/sites/default/files/2021-11/National_MPI_India-11242021.pdf)\n6 State Estimates for 2021 from Population Projection for Indian States (2011–2036). Registrar General and Census Commission of India.\n7 Periodic Labor Force Survey (PLFS); 2020–21.\n[8 National Family Health Survey (NFHS) 2015–2016 and 2005–2006. http://rchiips.org/nfhs/.](http://rchiips.org/nfhs/)\n9 Special Bulletins on MMR by Registrar General of India 2007–2009, 2018–2020.\n[10 NFHS 2019–2021 and 2005–2006. http://rchiips.org/nfhs/\n\nMention: \"Periodic Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2020–21 round supplying the state's employment indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003491:13:2", "occurrence_id": "366606b3723715d105262240", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: .\n\n\n6. **In addition to the unfinished RMNCH agenda, the state needs to address the emerging double**\n**burden of disease.** Like in most Indian states, the burden of noncommunicable diseases (NCDs) is growing\nin Assam—56 percent of poor health is due to NCDs. <sup>11</sup> [^11: NHSRC (National Health Systems Resource Centre). _Health Dossier 2021: Reflections on Key Health Indicators, Assam_ .] The NCD burden in the state is slightly lower than\n\n\n2 Directorate of Economics and Statistics, Government of Assam.\n3 Reserve Bank of India. 2020. _Handbook of Statistics on Indian Economy, Table 154_ .\n4 India’s multidimensional poverty metric includes indicators in health (child and adolescent mortality, antenatal care, nutrition), education\n(years of schooling, school attendance), and standard of living (cooking fuel, sanitation, drinking water, electricity, housing, assets, bank\naccount).\n[5 https://www.niti.gov.in/sites/default/files/2021-11/National_MPI_India-11242021.pdf.](https://www.niti.gov.in/sites/default/files/2021-11/National_MPI_India-11242021.pdf)\n6 State Estimates for 2021 from Population Projection for Indian States (2011–2036). Registrar General and Census Commission of India.\n7 Periodic Labor Force Survey (PLFS); 2020–21.\n[8 National Family Health Survey (NFHS) 2015–2016 and 2005–2006. http://rchiips.org/nfhs/.](http://rchiips.org/nfhs/)\n9 Special Bulletins on MMR by Registrar General of India 2007–2009, 2018–2020.\n[10 NFHS 2019–2021 and 2005–2006. http://rchiips.org/nfhs/\n\nMention: \"National Family Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2015–16 and 2005–06 rounds cited with URL for outcome trends.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003492:3:1", "occurrence_id": "4dc3d5b40271b82821be00c5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  is the fourteenth most\npopulous state and is highly rural.\n\n\nSectoral and Institutional Context\n\n<u>Health Outcomes and Utilization of health services</u>\n4. **Despite substantive improvements in some reproductive, maternal, neonatal and child health (RMNCH)**\n**outcomes and utilization of health services in the last decade, Assam still lags most Indian states in health outcomes**\n**and faces geographic inequities.** Assam has reduced its infant mortality and under-five mortality by a third, <sup>12</sup> [^12: National family health survey (NFHS) 2015-2016, and 2005-2006, <u>[http://rchiips.org/nfhs/](http://rchiips.org/nfhs/)</u>] and its\nmaternal mortality ratio (MMR) by half from 390 to 205 in the last decade. <sup>13</sup> [^13: Special Bulletins on MMR by Registrar General of India 2007-2009, 2017-2019] However, the state’s health outcomes are\nstill worse compared to national averages. MMR in particular stands out—the state’s MMR is twice as high as the national\nestimate. Utilization of health services has improved and is mostly at par with the national levels: 87 percent of women\ngive birth in a facility now compared to 24 percent in 2005, and antenatal care has improved from 66 to 85 percent. <sup>14</sup> [^14: NFHS 2019-2021, and 2005-2006, <u>[http://rchiips.org/nfhs/](http://rchiips.org/nfhs/)</u>]\nHowever, there is variation across the state with 97 percent of women in Jorhat district gave birth in a facility compared\nto 64 percent in Dhubri district. Additionally, immunization rate is lower than the national average, and also varies\ngeographically.\n\n5. **In addition to the unfinished RMNCH agenda,\n\nMention: \"National family health survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Rounds showing infant and under-five mortality fell by a third.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003492:3:1", "occurrence_id": "20f88a5cd704571587bff0ef", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  is the fourteenth most\npopulous state and is highly rural.\n\n\nSectoral and Institutional Context\n\n<u>Health Outcomes and Utilization of health services</u>\n4. **Despite substantive improvements in some reproductive, maternal, neonatal and child health (RMNCH)**\n**outcomes and utilization of health services in the last decade, Assam still lags most Indian states in health outcomes**\n**and faces geographic inequities.** Assam has reduced its infant mortality and under-five mortality by a third, <sup>12</sup> [^12: National family health survey (NFHS) 2015-2016, and 2005-2006, <u>[http://rchiips.org/nfhs/](http://rchiips.org/nfhs/)</u>] and its\nmaternal mortality ratio (MMR) by half from 390 to 205 in the last decade. <sup>13</sup> [^13: Special Bulletins on MMR by Registrar General of India 2007-2009, 2017-2019] However, the state’s health outcomes are\nstill worse compared to national averages. MMR in particular stands out—the state’s MMR is twice as high as the national\nestimate. Utilization of health services has improved and is mostly at par with the national levels: 87 percent of women\ngive birth in a facility now compared to 24 percent in 2005, and antenatal care has improved from 66 to 85 percent. <sup>14</sup> [^14: NFHS 2019-2021, and 2005-2006, <u>[http://rchiips.org/nfhs/](http://rchiips.org/nfhs/)</u>]\nHowever, there is variation across the state with 97 percent of women in Jorhat district gave birth in a facility compared\nto 64 percent in Dhubri district. Additionally, immunization rate is lower than the national average, and also varies\ngeographically.\n\n5. **In addition to the unfinished RMNCH agenda,\n\nMention: \"NFHS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"2019-21 and 2005-06 rounds behind facility birth and antenatal coverage, including district variation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003491:12:2", "occurrence_id": "fd7af86753e56d3e00a73633", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the age of 5 years\nbeing stunted and 67 percent of children aged 6-59 months being anemic during 2019-21. <sup>1</sup> Headline\nemployment indicators have improved since 2020 but concerns about job quality and real wage growth.\n\n\n**B. Sectoral and Institutional Context**\n\n\n_Overall State Context_\n\n\n3. **Assam is the largest economy in northeast India, a commercial hub for the region, and India’s**\n**gateway to Southeast Asia.** However, the state lags most large Indian states in the size of its economy\n\n\n1 Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019–21 report.\n\n\nPage 1\n\nMention: \"National Family Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"NFHS-5 report behind the stunting and anaemia prevalence figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003491:12:2", "occurrence_id": "0b23710179d53905e1481ea5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the age of 5 years\nbeing stunted and 67 percent of children aged 6-59 months being anemic during 2019-21. <sup>1</sup> Headline\nemployment indicators have improved since 2020 but concerns about job quality and real wage growth.\n\n\n**B. Sectoral and Institutional Context**\n\n\n_Overall State Context_\n\n\n3. **Assam is the largest economy in northeast India, a commercial hub for the region, and India’s**\n**gateway to Southeast Asia.** However, the state lags most large Indian states in the size of its economy\n\n\n1 Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019–21 report.\n\n\nPage 1\n\nMention: \"NFHS - 5\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The fifth round cited with its full official title and publisher.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003483:5:0", "occurrence_id": "9de55a2d3afe85f788732bbe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKananga Emergency Urban Resilience Project (P179292)\n\n\nDRC ranks 169 out of 180 countries and scores a low 18 (out of 100) when gauging the perceived level of\npublic sector corruption. <sup>11</sup> [^11: https://www.transparency.org/en/countries/democratic-republic-of-the-congo#] In a 2017 poll, only seven percent of people surveyed in Eastern Congo said the\nstate represented the interests of the people. <sup>12</sup> [^12: Voices from Congo”, Report 13, March 2018]\n\n\nSectoral and Institutional Context\n\n\n10. **Kananga, the capital city of the Kasai Central Province, is the fourth most populous urban area in the**\n**country, with an estimated population of about 1.5 million.** Kananga is an important commercial center\nand a potential engine of growth for DRC, but its business environment is negatively impacted by the\nunplanned nature of its growth, limited urban services, and the vulnerability of settlements and critical\ninfrastructure to hydrometeorological and erosion-related hazards. Urban services have not kept pace\nwith Kananga’s population growth, leading to declining rates of access to water, sanitation, drainage,\nroads, and solid waste management services, and lowering the city’s resilience to disasters.\n\n\n11. **Kananga is acutely affected by mega-gullies and other intense erosional processes.** More than 60 heads\nof erosion currently exist that could severely impact human lives, entire neighborhoods, and critical\ninfrastructure. With changing rainfall patterns in the Congo River basin due to Climate Change, this trend\nis expected to worsen, unless countered by adaptation measures. Infrastructure investments in 2021\nunder the closed Urban Development Project (UDP, P129713) stopped the advancement of two large gully\nerosions that were rapidly reaching the airport and the train station. Much more work remains to be done\nin Kananga to stop the advancement of existing erosion heads, as well as the onset of new gullies\n\nMention: \"2017 poll\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Poll in which only seven percent in Eastern Congo said the state represented people's interests.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003492:2:2", "occurrence_id": "805263dd62dea51a359365c8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Poverty Outlook, October 2022\n2World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND. In 2004, India’s extreme poverty rate was 39.9 percent using the same\ninternational poverty line.\n3UNDP (United Nations Development Programme), OPHI (Oxford Poverty and Human Development Initiative). 2022. 2022 Global Multidimensional Poverty Index\n(MPI): Unpacking deprivation bundles to reduce multidimensional poverty. New York.\n[4World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n5US$3.65 per capita per day (2017 PPP). World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.\n6Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019–21 report.\n\n\nOct 19, 2022 Page 3 of 11\n\nMention: \"National Family Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Full citation of the NFHS-5 2019–21 report as a footnote source.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003492:2:2", "occurrence_id": "28a2f8ddee4d5c450c0d5018", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Poverty Outlook, October 2022\n2World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND. In 2004, India’s extreme poverty rate was 39.9 percent using the same\ninternational poverty line.\n3UNDP (United Nations Development Programme), OPHI (Oxford Poverty and Human Development Initiative). 2022. 2022 Global Multidimensional Poverty Index\n(MPI): Unpacking deprivation bundles to reduce multidimensional poverty. New York.\n[4World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n5US$3.65 per capita per day (2017 PPP). World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.\n6Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019–21 report.\n\n\nOct 19, 2022 Page 3 of 11\n\nMention: \"NFHS - 5\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The fifth survey round, cited with its reporting period.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003500:2:1", "occurrence_id": "51a66c46e2a833a46c89992c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the potential to\nsignificantly increase productivity of the main staple crops (i.e., rice and cassava), as well as a wide variety\nof other crops. At 1.48 Mt/ha, rice yields are well below those in other countries in the region (e.g., 2.9\nMt/ha in Cote d’Ivoire and Ghana). Cassava yields stand at 8.1 Mt/ha, also below yields in neighboring\ncountries (e.g., 23.0 Mt/ha in Ghana and 14.5 Mt/ha in Sierra Leone). <sup>1</sup> Productivity in the sector is\nundermined by low quality of agricultural inputs (seeds, fertilizers, and equipment) and limited access to\nmarkets and advisory services.\n\n\n3. **Multiple global crises** <sup>**2**</sup> **have exacerbated the already fragile food security situation in Liberia.** The\nrecent World Food Program (WFP) hunger map indicates that 1.7 million Liberians (about 37 percent of\nthe population) have insufficient food consumption. <sup>3</sup> [^3: <mark>WFP HungerMap</mark> LIVE <mark>[Liberia May 2022. https://hungermap.wfp.org.](https://hungermap.wfp.org/)</mark>] Additionally, 4.3 percent of children under-five face\nacute malnutrition while 30.1 percent of these under-five children face chronic malnutrition. Admissions\nfor moderate acute malnutrition in children and nursing women increased by over 10 percent between\n\n\n1 FAO Statistics. Liberia’s average rice yield is roughly half the regional average of 2.5 Mt/ha and far below the global average of\n4.25 Mt/ha.\n2 <mark>Navigating Multiple Crises, Staying the Course on Long-term Development: The World Bank Group’s Response to the Crises</mark>\n\nMention: \"FAO Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Yield comparison showing Liberian rice at half the regional average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003503:10:0", "occurrence_id": "1dbf1c95572f542a61d24878", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nEducation Quality Improvement Project (P179363)\n\n\nevidence-based decision-making <sup>21</sup> . EMIS now covers preschool, primary, general secondary and\nvocational education data, which are regularly collected by the system. Reports on the performance of\neach school are produced and disclosed annually. However, significant differences exist between data\nreported in the EMIS open data portal and data published by the National Bureau of Statistics of Moldova.\nA single integrated EMIS capable of linking information on students with population register data and\nfinancing data of the Ministry of Finance is currently lacking. The existence of the current EMIS and\nestablished data reporting practices makes for a solid foundation for the development of an integrated\nEMIS in line with international best practices. The need for data-informed, evidence-based decisionmaking is crucial for enhancing the effectiveness of resource use and improving the quality of education.\nThe assessment and EMIS data should help identify constraints to learning, to iteratively adapt school\nconditions through smarter investments in the education sector.\n\n\n**C. Proposed Development Objectives**\n\n\n20. Project Development Objectives are to: (i) improve teaching practices of participating teachers\nand physical learning environments of selected educational institutions; (ii) strengthen the capacity of\nthe Ministry of Education and Research for sector management and refugee response; and (iii) in case of\nan Eligible Crisis or Emergency, respond promptly and effectively to it.\n\n\nKey Results\n\n     - Improved teaching practices of participating teachers (percentage)\n\n     - Students benefiting from improved learning environment under the project (girls/boys, urban/rural,\nrefugee students, vulnerability status, education level) (number)\n\n     - Annual statistics reports produced using data generated by the integrated EMIS (text)\n\n\n21 Under support of the completed World Bank-financed Moldova Education Reform Project.\n\n\nMar 20, 2023 Page 11 of 15\n\nMention: \"EMIS data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Combined with the assessment to identify constraints to learning and guide investments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003500:2:2", "occurrence_id": "656f2c2986ff9644ce4c997a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -term Development: The World Bank Group’s Response to the Crises</mark>\n<mark>Affecting Developing Countries (English). Washington, D.C.: World Bank Group.</mark>\n3 <mark>WFP HungerMap</mark> LIVE <mark>[Liberia May 2022. https://hungermap.wfp.org.](https://hungermap.wfp.org/)</mark>\n\n\nNov 01, 2022 Page 3 of 9\n\nMention: \"WFP HungerMap\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Live food-security tracker cited for the May 2022 situation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003500:3:0", "occurrence_id": "e42873537ce3e880e07da01f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nLiberia Rural Economic Transformation Project Additional Financing (P179359)\n\n\nDecember 2021 and January 2022 and admissions for severe acute malnutrition in children and nursing\nwomen increased by over 3 percent between December 2021 and January 2022 and were 13 percent\nhigher than the January 2021 level. <sup>4</sup>\n\n\n4. **Global commodity price inflation (especially for fuel, food, and fertilizer), the overall global**\n**negative supply shock created by the war in Ukraine, and depreciation of the local currency** <sup>5</sup> **have**\n**deteriorated the food security situation in Liberia** . In February 2022, Liberia’s Consumer Price Index (CPI)\nstood 9 percent higher than its January 2021 level. In May 2022, the price of rice in the capital Monrovia\nwas almost 20 percent higher than in January 2021, and that of cassava was over 46 percent higher than\nits January 2021 level. Between May 2021 and May 2022, across 25 percent of Liberia’s districts, cassava\nand rice prices rose by 24 percent and 9.5 percent, respectively. <sup>6</sup> Additionally, because of an increase in\nfertilizer prices, Liberia is expected to use less fertilizers and as a result, the country’s rice production is\nprojected to fall by 3 percent in 2023 compared to the 2017 - 2020 average. <sup>7</sup>\n\n\n5. **Climate change is exacerbating the challenges facing Liberia’s agriculture sector.** Data from the\nClimate Change Vulnerability Index shows that Liberia is among the top 20 most vulnerable countries in\nAfrica. Major climate-related changes predicted in the coming decades include an increase in average\ntemperature of 1–2 degrees Celsius, changing rainfall patterns, and more frequent extreme weather\nevents such as floods and droughts. In recent years, unpredictable rainfall patterns have\n\nMention: \"Consumer Price Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Index 9 percent higher in February 2022 than January 2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003503:3:1", "occurrence_id": "cfe07ff32ce6ca6bba2aef00", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the largest part of inequity\nin access to water and sanitation services, quality preschool, upper secondary and tertiary education. Poor\nservice delivery, mainly in disadvantaged areas, results in lagging human development outcomes and a\nlower chance for disadvantaged children to acquire the skills necessary for productive employment and\nupward mobility (World Bank, 2021). Furthermore, Moldova is currently housing around 80,000 Ukrainian\nrefugees. An estimated 90 percent of them are women and children, concentrated predominantly in\nurban areas. Forced displacement significantly increases the likelihood of being multidimensionally poor.\nA large number of refugees also puts additional pressure on the country’s already weak and unequal\npublic service delivery system.\n\n\n4. Limited institutional capacity remains one of the most serious constraints to a well-functioning\npublic sector and to inclusive and sustainable development <sup>6</sup> [^6: World Bank. 2021. Moldova - Systematic Country Diagnostic Update: Building Resilience and Enhancing\nCompetitiveness. Washington, D.C.: World Bank Group.] . The Moldova Systematic Country Diagnostic\nUpdate (2021) and Digital Education Readiness Assessment (2021–22) identified that Moldova’s\ndevelopment continues to be hampered by poor governance, political pressure from vested interests, and\nthe politicization of regulatory mandates. Governance is a challenge not only at the national level as to\nthe main state institutions and functions, but also at sector levels, where the delivery of essential public\nservices is hampered by sub-optimal performance of key institutions. Strengthening systems and\ninstitutions, including through capacity-building and digitalization, is a key priority for the government\n\n\n[3 2020 HCI Brief for Moldova: https://databankfiles.worldbank.org/data/download/hci/HCI_2pager_MDA.pdf.](https://databankfiles.worldbank.org/data/download/hci/HCI_2pager_MDA.pdf)\n4 Hanushek, E.A., Woessmann. L. 2010. The High Cost of Low Educational Performance: The Long-Run Economic\nImpact of Improving PISA Outcomes. Paris: OECD.\n\nMention: \"Moldova Systematic Country Diagnostic\nUpdate\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Diagnostic identifying governance and politicization as development constraints.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003503:3:1", "occurrence_id": "b6fa03a011048139491ea6a8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the largest part of inequity\nin access to water and sanitation services, quality preschool, upper secondary and tertiary education. Poor\nservice delivery, mainly in disadvantaged areas, results in lagging human development outcomes and a\nlower chance for disadvantaged children to acquire the skills necessary for productive employment and\nupward mobility (World Bank, 2021). Furthermore, Moldova is currently housing around 80,000 Ukrainian\nrefugees. An estimated 90 percent of them are women and children, concentrated predominantly in\nurban areas. Forced displacement significantly increases the likelihood of being multidimensionally poor.\nA large number of refugees also puts additional pressure on the country’s already weak and unequal\npublic service delivery system.\n\n\n4. Limited institutional capacity remains one of the most serious constraints to a well-functioning\npublic sector and to inclusive and sustainable development <sup>6</sup> [^6: World Bank. 2021. Moldova - Systematic Country Diagnostic Update: Building Resilience and Enhancing\nCompetitiveness. Washington, D.C.: World Bank Group.] . The Moldova Systematic Country Diagnostic\nUpdate (2021) and Digital Education Readiness Assessment (2021–22) identified that Moldova’s\ndevelopment continues to be hampered by poor governance, political pressure from vested interests, and\nthe politicization of regulatory mandates. Governance is a challenge not only at the national level as to\nthe main state institutions and functions, but also at sector levels, where the delivery of essential public\nservices is hampered by sub-optimal performance of key institutions. Strengthening systems and\ninstitutions, including through capacity-building and digitalization, is a key priority for the government\n\n\n[3 2020 HCI Brief for Moldova: https://databankfiles.worldbank.org/data/download/hci/HCI_2pager_MDA.pdf.](https://databankfiles.worldbank.org/data/download/hci/HCI_2pager_MDA.pdf)\n4 Hanushek, E.A., Woessmann. L. 2010. The High Cost of Low Educational Performance: The Long-Run Economic\nImpact of Improving PISA Outcomes. Paris: OECD.\n\nMention: \"Digital Education Readiness Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Assessment cited with the SCD as the analytical basis for the education project.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003503:9:1", "occurrence_id": "cfc681e58fdce4f87de4e12b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  needs strengthening to ensure transformational changes and improved sector performance.\nThe assessment proposed a list of priority actions for Moldova’s education sector, many of which on the\ndigital readiness agenda are supported by development partners.\n\n18. A system wide reform embracing a competency-based teaching and learning requires significant\nchanges in pedagogical practices. Despite the efforts of the education authorities and school leaders to\npromote student-centered ‘active learning’ and improve teacher effectiveness in classrooms, currently a\ndirect instruction and lecture-based teaching still dominates in the classroom. Digital competence is also\na key competence that teachers should possess. Teacher professional standards need to be revised to\nincorporate digital pedagogy. The standards establish a foundation upon which all aspects of teacher\ndevelopment from teacher education to induction and ongoing professional development is aligned. The\nstandards also aim to help teachers in reflecting on their teaching practice and its impact on student\nlearning, guiding the development of teachers throughout their careers as they work to improve teaching\npractices. It is also important to ensure the system of yearly continuous professional development,\nincluding in digitalization of teacher practices.\n\n19. Strengthening better planning, managing, and evaluating education reforms should help ensure\nsmarter investments in the education sector. The global spread of COVID-19 has led to unprecedented\ndisruptions in schooling requiring understanding of how students’ learning has changed. Moldova’s\nparticipation in PISA 2025 and the analysis of PISA 2022 results are important for managing learning\nrecovery from the pandemic. The MoER consolidated and strengthened the student-level EMIS to support\n\n\n20 Resilient teaching is the ability to continue instruction and facilitate learning of students in the face of external\ndisruptions.\n\n\nMar 20, 2023 Page 10 of 15\n\nMention: \"PISA 2025\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Future participation planned to track learning recovery from the pandemic.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003503:9:1", "occurrence_id": "bce28b22c9f503ba92b54c20", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  needs strengthening to ensure transformational changes and improved sector performance.\nThe assessment proposed a list of priority actions for Moldova’s education sector, many of which on the\ndigital readiness agenda are supported by development partners.\n\n18. A system wide reform embracing a competency-based teaching and learning requires significant\nchanges in pedagogical practices. Despite the efforts of the education authorities and school leaders to\npromote student-centered ‘active learning’ and improve teacher effectiveness in classrooms, currently a\ndirect instruction and lecture-based teaching still dominates in the classroom. Digital competence is also\na key competence that teachers should possess. Teacher professional standards need to be revised to\nincorporate digital pedagogy. The standards establish a foundation upon which all aspects of teacher\ndevelopment from teacher education to induction and ongoing professional development is aligned. The\nstandards also aim to help teachers in reflecting on their teaching practice and its impact on student\nlearning, guiding the development of teachers throughout their careers as they work to improve teaching\npractices. It is also important to ensure the system of yearly continuous professional development,\nincluding in digitalization of teacher practices.\n\n19. Strengthening better planning, managing, and evaluating education reforms should help ensure\nsmarter investments in the education sector. The global spread of COVID-19 has led to unprecedented\ndisruptions in schooling requiring understanding of how students’ learning has changed. Moldova’s\nparticipation in PISA 2025 and the analysis of PISA 2022 results are important for managing learning\nrecovery from the pandemic. The MoER consolidated and strengthened the student-level EMIS to support\n\n\n20 Resilient teaching is the ability to continue instruction and facilitate learning of students in the face of external\ndisruptions.\n\n\nMar 20, 2023 Page 10 of 15\n\nMention: \"PISA 2022\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Results to be analysed to measure how student learning changed.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003558:4:0", "occurrence_id": "e63d71a1cc989e302a2ded14", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCôte d'Ivoire Health, Nutrition, and Early Childhood Development Program (P179550) – Additional Financing\nRequest 1\n\n\ncomplete education and full health. This HCI score of 38 per cent is lower than the average for the Sub-Saharan Africa region\n(40 per cent), Lower Middle-Income countries (48 per cent) and economic peers such as Kenya (0.55), Ghana (0.45), and\nSenegal (0.42) <sup>2</sup> [^2: World Bank Group. Cote d’Ivoire Human Capital Brief. https://thedocs.worldbank.org/en/doc/64e578cbeaa522631f08f0cafba8960e-\n<u>[0140062023/related/HCI-AM23-CIV.pdf](https://thedocs.worldbank.org/en/doc/64e578cbeaa522631f08f0cafba8960e-0140062023/related/HCI-AM23-CIV.pdf)</u>] WB-HCI diagnostic, 2021).\n\n4. **Although Cote d’Ivoire is well engaged in its epidemiological transition, preventable and infectious diseases**\n**(including HIV-and malaria) remain the leading causes of death in Côte d’Ivoire.** HIV-prevalence in Côte d’Ivoire is high\ncompared to other lower-middle income countries in the region (1.8 per cent in 2022). As for malaria, despite a decrease\nfrom 463 cases per 1,000 people in 2011 to 260 in 2022, it remains a leading cause of death among under-5 children, and\npregnant women. Utilization of health services among pregnant women remains low with only 57 per cent of women having\nat least four antenatal care visits (DHS2021).\n\n5. **CIV’s high total fertility rate of 4.3, coupled with a low contraceptive prevalence (23.3 percent), along with a slow**\n**decline in the adult mortality rate, will lead to an age structure that is still heavily skewed towards young dependents.** This\nposes challenges for the provision of health, education and\n\nMention: \"DHS2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows only 57 percent of women had at least four antenatal visits.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003492:3:3", "occurrence_id": "835a0079aac13d96c4b172b9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 2006, <u>[http://rchiips.org/nfhs/](http://rchiips.org/nfhs/)</u>\n13 Special Bulletins on MMR by Registrar General of India 2007-2009, 2017-2019\n14 NFHS 2019-2021, and 2005-2006, <u>[http://rchiips.org/nfhs/](http://rchiips.org/nfhs/)</u>\n15 Health Dossier 2021, Assam. https://nhsrcindia.org/sites/default/files/practice_image/HealthDossier2021/Assam.pdf\n16 National family health survey 2019-21, <u>[http://rchiips.org/nfhs/](http://rchiips.org/nfhs/)</u>\n17 <u>[https://www.ceew.in/publications/mapping-climate-change-vulnerability-index-of-india-a-district-level-assessment](https://www.ceew.in/publications/mapping-climate-change-vulnerability-index-of-india-a-district-level-assessment)</u>\n\n\nOct 19, 2022 Page 4 of 11\n\nMention: \"Health Dossier 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"State health dossier cited with URL for service and outcome indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003524:3:3", "occurrence_id": "2c6dc0d20ed458eaf2da61b5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the share of children under-five in the household. These\nvariables are combined to produce a score that classifies households into four categories: extreme poor (ICV-1); poor (ICV-2);\nnon-poor but vulnerable (ICV-3); and non-poor (ICV-4).\n2 World Bank DR Poverty Assessment 2023.\n3 World Bank DR Poverty Assessment 2023.\n4 The quality-of-life index (ICV in Spanish) measures the non-monetary wellbeing of the population based on 17 indicators\ngrouped into four categories: ownership of durable goods; access to utilities and basic services; dwelling materials and quality of\nhousing condition; and selected education and socio-demographic characteristics of household members. These indicators get\ncombined to produce a score which groups households into four categories: ICV-1: Extreme Poor; ICV-2: Moderate Poor; ICV-3:\nNon-poor but Vulnerable; and ICV-4: Non-poor.\n5 Own calculations based on ENCFT (National Labor Force Survey – Encuesta Nacional Continua de Fuerza de Trabajo). Q4 2021.\n6 World Bank DR Poverty Assessment 2023.\n7 World Bank DR Gender Assessment 2023.\n\n\nFeb 07, 2023 Page 4 of 11\n\nMention: \"ENCFT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Household survey microdata used for own calculations of poverty and vulnerability.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003524:3:3", "occurrence_id": "7e95873867cec2e805b6fdc0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the share of children under-five in the household. These\nvariables are combined to produce a score that classifies households into four categories: extreme poor (ICV-1); poor (ICV-2);\nnon-poor but vulnerable (ICV-3); and non-poor (ICV-4).\n2 World Bank DR Poverty Assessment 2023.\n3 World Bank DR Poverty Assessment 2023.\n4 The quality-of-life index (ICV in Spanish) measures the non-monetary wellbeing of the population based on 17 indicators\ngrouped into four categories: ownership of durable goods; access to utilities and basic services; dwelling materials and quality of\nhousing condition; and selected education and socio-demographic characteristics of household members. These indicators get\ncombined to produce a score which groups households into four categories: ICV-1: Extreme Poor; ICV-2: Moderate Poor; ICV-3:\nNon-poor but Vulnerable; and ICV-4: Non-poor.\n5 Own calculations based on ENCFT (National Labor Force Survey – Encuesta Nacional Continua de Fuerza de Trabajo). Q4 2021.\n6 World Bank DR Poverty Assessment 2023.\n7 World Bank DR Gender Assessment 2023.\n\n\nFeb 07, 2023 Page 4 of 11\n\nMention: \"National Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"English name of the continuous labour force survey behind the estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003524:3:3", "occurrence_id": "fc2cdee17d5d6a0d27e774b9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the share of children under-five in the household. These\nvariables are combined to produce a score that classifies households into four categories: extreme poor (ICV-1); poor (ICV-2);\nnon-poor but vulnerable (ICV-3); and non-poor (ICV-4).\n2 World Bank DR Poverty Assessment 2023.\n3 World Bank DR Poverty Assessment 2023.\n4 The quality-of-life index (ICV in Spanish) measures the non-monetary wellbeing of the population based on 17 indicators\ngrouped into four categories: ownership of durable goods; access to utilities and basic services; dwelling materials and quality of\nhousing condition; and selected education and socio-demographic characteristics of household members. These indicators get\ncombined to produce a score which groups households into four categories: ICV-1: Extreme Poor; ICV-2: Moderate Poor; ICV-3:\nNon-poor but Vulnerable; and ICV-4: Non-poor.\n5 Own calculations based on ENCFT (National Labor Force Survey – Encuesta Nacional Continua de Fuerza de Trabajo). Q4 2021.\n6 World Bank DR Poverty Assessment 2023.\n7 World Bank DR Gender Assessment 2023.\n\n\nFeb 07, 2023 Page 4 of 11\n\nMention: \"Encuesta Nacional Continua de Fuerza de Trabajo\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official Spanish title of the survey, with the Q4 2021 round specified.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003524:4:2", "occurrence_id": "a85c1f7c2ed52877d94c2962", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: headed\nhouseholds (53 percent) reflecting the over-representation of women-headed households among poor\nhouseholds. The verification of co-responsibilities was halted with the country lock down during the\n\n\n8 According to EM-DAT (Emergency Events Database), The Dominican Republic has been the second most affected country in the\nCaribbean during the last two decades (with 54 recorded disasters) preceded only by its neighbor Haiti (83 recorded disasters).\n9 World Bank, DR Poverty Assessment, 2023.\n10 This stems from (a) location factors as poor households typically get pushed to marginal hazard prone areas (i.e., steep land or\nsquatter settlements), where land ownership is easier and rents cheaper, but also more susceptible to get damaged by floods or\nlandslides; and (b) housing materials of poorer quality, infrastructure, and production activities which are typically unsafe or less\nresilient to hazard impacts.\n11 Status of poverty is defined as individuals that belong to the bottom 40 percent of the wealth distribution index.\n12 Evaluación de Impacto al Programa Progresando con Solidaridad (PROSOLI): Evidencia para la Innovación en la Protección Social\n(2019), Gertler, P. and Garz, S.\n13 _Aliméntate_ relates to the CCT to support utilization of health services for young children and pregnant women, _Aprende_ relates\nto the CCT to support primary education attendance, and _Avanza_ relates to the CCT to support secondary education attendance.\n14 2021 National Continuous Labor Force Survey (Encuesta Nacional Continua de Fuerza de Trabajo, ENCFT).\n\n\nFeb 07, 2023 Page 5 of 11\n\nMention: \"Emergency Events Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Records 54 disasters over two decades, second only to Haiti in the Caribbean.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003524:4:2", "occurrence_id": "484ed51e35a75cf68157e6bf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: headed\nhouseholds (53 percent) reflecting the over-representation of women-headed households among poor\nhouseholds. The verification of co-responsibilities was halted with the country lock down during the\n\n\n8 According to EM-DAT (Emergency Events Database), The Dominican Republic has been the second most affected country in the\nCaribbean during the last two decades (with 54 recorded disasters) preceded only by its neighbor Haiti (83 recorded disasters).\n9 World Bank, DR Poverty Assessment, 2023.\n10 This stems from (a) location factors as poor households typically get pushed to marginal hazard prone areas (i.e., steep land or\nsquatter settlements), where land ownership is easier and rents cheaper, but also more susceptible to get damaged by floods or\nlandslides; and (b) housing materials of poorer quality, infrastructure, and production activities which are typically unsafe or less\nresilient to hazard impacts.\n11 Status of poverty is defined as individuals that belong to the bottom 40 percent of the wealth distribution index.\n12 Evaluación de Impacto al Programa Progresando con Solidaridad (PROSOLI): Evidencia para la Innovación en la Protección Social\n(2019), Gertler, P. and Garz, S.\n13 _Aliméntate_ relates to the CCT to support utilization of health services for young children and pregnant women, _Aprende_ relates\nto the CCT to support primary education attendance, and _Avanza_ relates to the CCT to support secondary education attendance.\n14 2021 National Continuous Labor Force Survey (Encuesta Nacional Continua de Fuerza de Trabajo, ENCFT).\n\n\nFeb 07, 2023 Page 5 of 11\n\nMention: \"2021 National Continuous Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey behind the household composition and beneficiary statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003524:4:2", "occurrence_id": "4efdf6985451fd3a163dcce4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: headed\nhouseholds (53 percent) reflecting the over-representation of women-headed households among poor\nhouseholds. The verification of co-responsibilities was halted with the country lock down during the\n\n\n8 According to EM-DAT (Emergency Events Database), The Dominican Republic has been the second most affected country in the\nCaribbean during the last two decades (with 54 recorded disasters) preceded only by its neighbor Haiti (83 recorded disasters).\n9 World Bank, DR Poverty Assessment, 2023.\n10 This stems from (a) location factors as poor households typically get pushed to marginal hazard prone areas (i.e., steep land or\nsquatter settlements), where land ownership is easier and rents cheaper, but also more susceptible to get damaged by floods or\nlandslides; and (b) housing materials of poorer quality, infrastructure, and production activities which are typically unsafe or less\nresilient to hazard impacts.\n11 Status of poverty is defined as individuals that belong to the bottom 40 percent of the wealth distribution index.\n12 Evaluación de Impacto al Programa Progresando con Solidaridad (PROSOLI): Evidencia para la Innovación en la Protección Social\n(2019), Gertler, P. and Garz, S.\n13 _Aliméntate_ relates to the CCT to support utilization of health services for young children and pregnant women, _Aprende_ relates\nto the CCT to support primary education attendance, and _Avanza_ relates to the CCT to support secondary education attendance.\n14 2021 National Continuous Labor Force Survey (Encuesta Nacional Continua de Fuerza de Trabajo, ENCFT).\n\n\nFeb 07, 2023 Page 5 of 11\n\nMention: \"Encuesta Nacional Continua de Fuerza de Trabajo\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official title given alongside the English name and acronym.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003522:16:1", "occurrence_id": "1a918a80abedc04f0330e531", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: a media alta. Esta situación se explica sobre todo por las deficiencias en la focalización\ny la insuficiencia de los montos transferidos. Los programas de protección social PROSOLI benefician\nalrededor del veinte por ciento de personas no pobres, <sup>11</sup> [^11: Cálculos del Banco Mundial, con base en la Encuesta Nacional Continua de Fuerza de Trabajo (ENCFT).] lo que apunta a la necesidad de mejorar la\nfocalización. Asimismo, es necesario actualizar el mapa de la pobreza utilizado para la selección\ngeográfica, así como la prueba indirecta de medios. A pesar del aumento del monto de las transferencias\nen el 2021, los niveles de las prestaciones siguen siendo insuficientes. <sup>12</sup> [^12: En mayo del 2021, con el advenimiento de la pandemia, el gobierno aumentó la transferencia mensual de RD$1,771 (US$32.2)\npor estudiante, pero el aumento de los precios actuales ha reducido su valor real en un 10 por ciento.] La cobertura de los sectores\ndesfavorecidos es, en general, buena en comparación con sus pares regionales (el 57 por ciento del 20\npor ciento inferior de la distribución de ingresos recibe prestaciones de asistencia social), <sup>13</sup> [^13: ENCFT.] y la proporción\nde hogares beneficiarios es mayor entre las familias encabezadas por mujeres (62 por ciento) que entre\naquellas encabezadas por hombres (53 por ciento), lo que refleja la sobrerrepresentación de las familias\ncon cabeza de familia femenina entre los sectores desfavorecidos. Sin embargo, 118,342 hogares pobres\ny extremadamente pobres aún están en proceso de afiliación a SUPÉRATE, aunque están registrados en\nel SIUBEN desde el 2018. Por otro lado, existen 94,790 hogares\n\nMention: \"Encuesta Nacional Continua de Fuerza de Trabajo\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"World Bank calculations on this survey show about twenty percent of PROSOLI beneficiaries are non-poor.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003522:16:1", "occurrence_id": "442ef1fcec8b60c9aec22764", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: a media alta. Esta situación se explica sobre todo por las deficiencias en la focalización\ny la insuficiencia de los montos transferidos. Los programas de protección social PROSOLI benefician\nalrededor del veinte por ciento de personas no pobres, <sup>11</sup> [^11: Cálculos del Banco Mundial, con base en la Encuesta Nacional Continua de Fuerza de Trabajo (ENCFT).] lo que apunta a la necesidad de mejorar la\nfocalización. Asimismo, es necesario actualizar el mapa de la pobreza utilizado para la selección\ngeográfica, así como la prueba indirecta de medios. A pesar del aumento del monto de las transferencias\nen el 2021, los niveles de las prestaciones siguen siendo insuficientes. <sup>12</sup> [^12: En mayo del 2021, con el advenimiento de la pandemia, el gobierno aumentó la transferencia mensual de RD$1,771 (US$32.2)\npor estudiante, pero el aumento de los precios actuales ha reducido su valor real en un 10 por ciento.] La cobertura de los sectores\ndesfavorecidos es, en general, buena en comparación con sus pares regionales (el 57 por ciento del 20\npor ciento inferior de la distribución de ingresos recibe prestaciones de asistencia social), <sup>13</sup> [^13: ENCFT.] y la proporción\nde hogares beneficiarios es mayor entre las familias encabezadas por mujeres (62 por ciento) que entre\naquellas encabezadas por hombres (53 por ciento), lo que refleja la sobrerrepresentación de las familias\ncon cabeza de familia femenina entre los sectores desfavorecidos. Sin embargo, 118,342 hogares pobres\ny extremadamente pobres aún están en proceso de afiliación a SUPÉRATE, aunque están registrados en\nel SIUBEN desde el 2018. Por otro lado, existen 94,790 hogares\n\nMention: \"ENCFT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited by acronym for the regional comparison of social assistance coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003534:3:0", "occurrence_id": "4059cc7ed278535b412899de", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nZambia Jobs & Economic Transformation Project (P179507)\n\n\n7. **Constraints related to the supply of financing prevents even viable and creditworthy agribusinesses from accessing**\n**funding to expand and improve productivity.** As per the 2019 Economic Survey, over 30 percent of Zambian firms\nreported access to finance as their top business environment constraint, more than for any other potential constraint.\nThis obstacle is attributable to the lack of formal financing instruments, insufficient sector-specific financial products,\nthe high cost of borrowing, excessive collateral requirements by banks, and challenging assessment frameworks by\nbanks.\n\n\n8. **Zambia’s business enabling environment needs to be improved to allow private producers and agribusinesses to**\n**enter, operate, scale up, diversify and thrive.** For example, starting a business in Zambia remains expensive and\nburdensome, costing 34 percent of per capita income on average, versus 22 percent and 0 percent in Kenya and\nRwanda, respectively.\n\n\n9. **<mark>The African Continental Free Trade Agreement (AfCFTA) will create significant opportunities for exports of Zambian</mark>**\n**<mark>agricultural goods.</mark>** <mark>The AfCFTA will link 54 countries with 1.3 billion people and a combined potential GDP of USD 3.4</mark>\n<mark>trillion into one market. Zambia can leverage the AfCFTA to grow industry, bring higher-paid, and better-quality jobs</mark>\n<mark>by implementing its commitments and taking advantage of the opportunities offered by the continental</mark>\n<mark>agreement. However, realizing Zambia’s full potential for agricultural exports and benefitting from AfCFTA integration</mark>\n<mark>will require investments in trade facilitation to improve access to markets.</mark>\n\n\nRelationship to CPF\n\n\n10.\n\nMention: \"2019 Economic Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Over 30 percent of firms named access to finance as their top constraint.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003560:45:1", "occurrence_id": "5058fabc456896d9da2bb11d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Health facilities with no stock-out of essential medicines during the last three months (Percentage) **|**Health facilities with no stock-out of essential medicines during the last three months (Percentage) **|\n|Description|Numerator: Health facilities under PBF contracts in target regions with no stock-out of essential medicines in the<br>preceding three months<br>Denominator: Total number of health facilities under PBF contracts in target regions|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Average health facility quality-of-care score for the minimum package activity (Percentage) **|**Average health facility quality-of-care score for the minimum package activity (Percentage) **|\n|Description|Average structural score of health facilities for the minimum package activity quality of care in target regions|\n|Frequency|Annually|\n|Data source|PBF quality score, annual progress reports|\n|Methodology for Data<br>Collection|Review of PBF quality score and annual progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Average community satisfaction score (Percentage) **|**Average community satisfaction score (Percentage) **|\n|Description|Average quality-of-care satisfaction score from the community survey in target regions|\n|Frequency|Every six months|\n|Data source|Community satisfaction surveys,\n\nMention: \"PBF data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Performance-based financing data reviewed with HMIS to verify the stock-out indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003560:45:0", "occurrence_id": "5b8e5f0cb875db9375d49b63", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMauritania Health System Support Project (P179558)\n\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|---|---|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Refugee mothers with newborns who attended at least two postnatal care visits with a qualified health worker (Number) **|**Refugee mothers with newborns who attended at least two postnatal care visits with a qualified health worker (Number) **|\n|Description|Number of refugee mothers with newborns who attended at least two postnatal care visits with a qualified health service<br>providera|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Mothers younger than 19 with newborns who attended at least two postnatal care visits with a qualified health worker (Number) **|**Mothers younger than 19 with newborns who attended at least two postnatal care visits with a qualified health worker (Number) **|\n|Description|Number of mothers younger than 19 with newborns who attended at least two postnatal care visits with a qualified<br>health service providera|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Health facilities with no stock-out of essential\n\nMention: \"PBF data portal\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Online portal named as a data source alongside HMIS for the RMNCAH indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003560:43:1", "occurrence_id": "3fdb0b1f3784e36fcd7438ac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  de Vie en Mauritanie_, program-specific survey|\n|Methodology for Data<br>Collection|Review of DHS, Enquête Permanente sur les Conditions de Vie en Mauritanie, or program-specific survey data|\n|Responsibility for Data<br>Collection|MoH|\n\n\n\n**Monitoring & Evaluation Plan: Intermediate Results Indicators by Components**\n\n|Improve quality and increase use of RMNCAH-N services|Col2|\n|---|---|\n|**People who have received essential health, nutrition, and population (HNP) services (Number)CRI**|**People who have received essential health, nutrition, and population (HNP) services (Number)CRI**|\n|Description|Number of people who have received outpatient services at a PHC facility (Health center and Health Post) in target<br>regions|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Number of women and children who have received basic nutrition services (Number)CRI**|**Number of women and children who have received basic nutrition services (Number)CRI**|\n|Description|Number of pregnant women who have received folic acid and micronutrient supplements during prenatal visits and<br>children ages 6 to 59 months who have received vitamin A in target regions|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH\n\nMention: \"Enquête Permanente sur les Conditions de Vie en Mauritanie\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Permanent living-conditions survey used as one acceptable source for verification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003560:43:1", "occurrence_id": "4c89b261cb031e2d1f6760db", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  de Vie en Mauritanie_, program-specific survey|\n|Methodology for Data<br>Collection|Review of DHS, Enquête Permanente sur les Conditions de Vie en Mauritanie, or program-specific survey data|\n|Responsibility for Data<br>Collection|MoH|\n\n\n\n**Monitoring & Evaluation Plan: Intermediate Results Indicators by Components**\n\n|Improve quality and increase use of RMNCAH-N services|Col2|\n|---|---|\n|**People who have received essential health, nutrition, and population (HNP) services (Number)CRI**|**People who have received essential health, nutrition, and population (HNP) services (Number)CRI**|\n|Description|Number of people who have received outpatient services at a PHC facility (Health center and Health Post) in target<br>regions|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Number of women and children who have received basic nutrition services (Number)CRI**|**Number of women and children who have received basic nutrition services (Number)CRI**|\n|Description|Number of pregnant women who have received folic acid and micronutrient supplements during prenatal visits and<br>children ages 6 to 59 months who have received vitamin A in target regions|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH\n\nMention: \"program-specific survey data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Alternative programme survey accepted where DHS or EPCV data are unavailable.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003558:4:1", "occurrence_id": "5b5db47ae8b94b1dcbb40330", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  skills development services now and in the future.\n\n6. **Children in Cote d’Ivoire lack access to essential health, nutrition, and early childhood development (ECD) services**\n**throughout their ‘first 2,000 days’** . National aggregates mask serious geographic and socio-economic disparities, and new\nhealth challenges are emerging. For example, compared to children in wealthy households, children in poor households’\nexperience double the risk of under-five deaths (61 vs. 120 deaths per 1000 live births) and three times the risk of being\nstunted (9 vs 30 per cent). In Côte d'Ivoire, the trend in stunting in children under 5 years of age over the last decade shows\nthat there has been an improvement with prevalence decreasing from 29.8 per cent in 2012 to 23.4 per cent in 2021 (EDS-CI\n2021). However, stunting in children under five is higher in low-income households, particularly the poor (30.4 per cent,\ncompared to 11 per cent among the richest).\n\n7. **Côte d'Ivoire’s Government expenditures for health have significantly increased since 2019 but remain lower than**\n**peers.** Since 2019, the country has significantly increased its government health expenditure, rising from less than 1 percent\nof GDP before 2019 to about 2 percent since 2020. This is a clear signal of the priority given to the health sector. However,\ngovernment health spending still lags behind that of peers and neighboring countries. Moreover, despite a notable decline\nover the past decade, household out-of-pocket (OOP) payments still account for 29 percent of current health expenditure\n(CHE)—a level that exceeds the World health organization benchmark of 15–20 percent, and remains higher than peer\ncountries such as Kenya (24 percent) and Ghana (25 percent). The sector continues to face high levels of inefficiency.\n\nMention: \"EDS-CI\n2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows stunting fell from 29.8 percent in 2012 to 23.4 percent in 2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003560:15:2", "occurrence_id": "7e57939834deb23863ff4a5d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the pandemic, the Government is implementing measures to prevent and enhance\npreparedness for future public health emergencies. However, the 2022 floods revealed a need for continuous coordination\nand collaboration among various ministries and development agencies for emergency prevention, preparedness, and\nresponse (PPR). In addition to the proposed Multiphase Programmatic Approach (MPA), the World Bank-supported\nMauritania Fiscal Management and Resilience Stand-alone Development Policy Financing (P179263) aims to strengthen\nthe country’s resilience to climate change and disaster risks. Moreover, the Decentralization and Productive Intermediate\nCities Support Project - Moudoun (P169332) finances waste management and sanitation interventions in urban areas.\n\n\n12 MoH (Ministry of Health) Mauritania. Health Facilities Coverage 2022.\n13 MoH Mauritania. 2021. Human Resources for Health Development Plan 2022–2026.\n14 Service Availability and Readiness Assessment (SARA) 2018.\n15 UNICEF Mauritania. 2015. Etude de faisabilité pour la mise en place d’un mécanisme d’incitation à l’utilisation des services de santé par les\npopulations pauvres et vulnérables (Financement basée sur les résultats) - Volet demande de services (Feasibility study for the implementation of an\nincentive mechanism for the use of health services by poor and vulnerable populations (results-based financing) - Demand for services component).\n16 SARA 2018.\n17 MoH Mauritania, Agence Nationale de la Statistique, de l’Analyse et de la Démographie, and UNICEF. 2022. Rapport de l’enquête nutritionnelle\nSMART (Nutrition SMART Survey Report).\n18 World Food Programme. Mauritania. https://www.wfp.org/countries/mauritania.\n19 WHO. 2018. NCD Country Profiles: Mauritania _._ <u>[https://cdn.who.int/media\n\nMention: \"Service Availability and Readiness Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Facility assessment supplying service availability and readiness evidence.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003560:15:2", "occurrence_id": "910fca0d10f389135340e0b8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the pandemic, the Government is implementing measures to prevent and enhance\npreparedness for future public health emergencies. However, the 2022 floods revealed a need for continuous coordination\nand collaboration among various ministries and development agencies for emergency prevention, preparedness, and\nresponse (PPR). In addition to the proposed Multiphase Programmatic Approach (MPA), the World Bank-supported\nMauritania Fiscal Management and Resilience Stand-alone Development Policy Financing (P179263) aims to strengthen\nthe country’s resilience to climate change and disaster risks. Moreover, the Decentralization and Productive Intermediate\nCities Support Project - Moudoun (P169332) finances waste management and sanitation interventions in urban areas.\n\n\n12 MoH (Ministry of Health) Mauritania. Health Facilities Coverage 2022.\n13 MoH Mauritania. 2021. Human Resources for Health Development Plan 2022–2026.\n14 Service Availability and Readiness Assessment (SARA) 2018.\n15 UNICEF Mauritania. 2015. Etude de faisabilité pour la mise en place d’un mécanisme d’incitation à l’utilisation des services de santé par les\npopulations pauvres et vulnérables (Financement basée sur les résultats) - Volet demande de services (Feasibility study for the implementation of an\nincentive mechanism for the use of health services by poor and vulnerable populations (results-based financing) - Demand for services component).\n16 SARA 2018.\n17 MoH Mauritania, Agence Nationale de la Statistique, de l’Analyse et de la Démographie, and UNICEF. 2022. Rapport de l’enquête nutritionnelle\nSMART (Nutrition SMART Survey Report).\n18 World Food Programme. Mauritania. https://www.wfp.org/countries/mauritania.\n19 WHO. 2018. NCD Country Profiles: Mauritania _._ <u>[https://cdn.who.int/media\n\nMention: \"Nutrition SMART Survey Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Joint ministry, statistics agency and UNICEF nutrition survey behind malnutrition estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003560:44:2", "occurrence_id": "438c01fa76ad72229c218ad9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |**Pregnant women younger than 19 who attended at least four prenatal care visits with a qualified health worker (Number) **|\n|Description|Number of pregnant women younger than 19 who attended at least four prenatal care visits with a qualified health<br>service providera in target regions|\n|Frequency|Every six months|\n|Data source|HMIS, PBF data portal, quarterly progress reports|\n|Methodology for Data<br>Collection|Review of HMIS and PBF data and quarterly progress reports|\n|Responsibility for Data<br>Collection|MoH|\n|**Mothers with newborns who attended at least two postnatal care visits with a qualified health worker (Number) **|**Mothers with newborns who attended at least two postnatal care visits with a qualified health worker (Number) **|\n|Description|Number of mothers with newborns who attended at least two postnatal care visits with a qualified health service<br>providera|\n|Frequency|Every six months|\n\n\n\nPage 32 of 51\n\nMention: \"HMIS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Health information system supplying counts of prenatal visits for the indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003597:5:0", "occurrence_id": "27fe46a7fcc5ae7546e44146", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUttarakhand Disaster Preparedness and Resilience Project(P179749)\n\n\n**The vast forest area of Uttarakhand is particularly susceptible to climatic change that increases the risk of forest and**\n**non-forest fires.** The forest cover of the State is vast, covering around 45 percent of the State’s area, with the rural\npopulation being dependent on natural forest resources. <sup>16</sup> [^16: India State of Forest Report 2021, Forest Survey of India.] However, around 65 percent of the forest area is sensitive to\nforest fires, with 2,800 registered forest fires in 2021, affecting an area of almost 4,000 hectares. Despite recent efforts to\nmanage and prevent fires gaps remain to effectively manage forest fire risk. This includes a lack of equipment (e.g.,\nprotective gear, fire equipment), capacity within the Forest Department and community institutions, and awareness on\nthe local level. Similar gaps are present within UFES, with large areas underserved by fire and emergency rescue efforts\ndue to insufficient fire stations and equipment.\n\n\nRelationship to CPF\n**The proposed Project is consistent with the World Bank Group’s India Country Partnership Framework (CPF) FY18–22**\n**(report No. 126667-IN, discussed at the Board on September 20, 2018), the Climate Change Action Plan 2021-2025**\n**(CCAP) and the South Asia Roadmap, as well as with the Green, Resilient and Inclusive Development (GRID) approach,**\n**and the Global Crisis Response Framework (GCRF).** This Project will also contribute to several of the objectives outlined\nin the CPF. For instance, it will improve the welfare of rural populations (Objective 1.1); improve DRM through resilient\ninfrastructure, supporting state DRM institutions, and emergency preparedness (Objective 1.5); enhance connectivity and\nmake transport infrastructure climate-resilient (Objective 2.3)\n\nMention: \"India State of Forest Report 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports forest cover at about 45 percent of the state's area.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003597:3:0", "occurrence_id": "2d36f5f6751f74aaaed542d7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUttarakhand Disaster Preparedness and Resilience Project(P179749)\n\n\nremained high, with 35.5 percent of children under the age of 5 being stunted and 67 percent of children aged 6-59 months\nbeing anemic in 2019-21. <sup>7</sup> [^7: Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019–21 report.] Headline employment indicators have improved since 2020 but concerns about job quality and\nreal wage growth remain. <sup>8</sup> [^8: World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.]\n\n\n**India is highly vulnerable to natural disasters and projected climate change will further increase this vulnerability** . More\nthan 80 percent of India's population lives in areas highly susceptible to extreme hydrometeorological disasters, including\nfloods, droughts, and cyclones. Out of the almost 3.3 million km <sup>2</sup> of landmass, 59 percent is prone to earthquakes of\nmoderate to very high intensity, 15 percent is susceptible to landslides, 12 percent is prone to river floods, and 8 percent\n(or 75 percent of the coastline) is prone to cyclones. <sup>9</sup> [^9: National Disaster Management Authority. 2019. “Annual Report 2018-19”. National Disaster Management Authority, Government of India.] The country is estimated to have incurred a loss of around US$87\nbillion in 2020 due to extreme weather events such as tropical cyclones, floods, and droughts. India’s average annual mean\ntemperature from 1901 to 2020 showed an increasing trend of 0.62°C/100 years. By the 2090s, temperatures in India are\nprojected to increase by approximately 4.5°C under the RCP8.5 emissions pathway and around 1.2°C on the RCP2.6\nemissions pathway. Rising temperature, sea-level rise, and precipitation\n\nMention: \"National Family Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"NFHS-5 source for the 35.5 percent stunting and 67 percent anaemia figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003597:3:0", "occurrence_id": "c8da269521e23041d423d612", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUttarakhand Disaster Preparedness and Resilience Project(P179749)\n\n\nremained high, with 35.5 percent of children under the age of 5 being stunted and 67 percent of children aged 6-59 months\nbeing anemic in 2019-21. <sup>7</sup> [^7: Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019–21 report.] Headline employment indicators have improved since 2020 but concerns about job quality and\nreal wage growth remain. <sup>8</sup> [^8: World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.]\n\n\n**India is highly vulnerable to natural disasters and projected climate change will further increase this vulnerability** . More\nthan 80 percent of India's population lives in areas highly susceptible to extreme hydrometeorological disasters, including\nfloods, droughts, and cyclones. Out of the almost 3.3 million km <sup>2</sup> of landmass, 59 percent is prone to earthquakes of\nmoderate to very high intensity, 15 percent is susceptible to landslides, 12 percent is prone to river floods, and 8 percent\n(or 75 percent of the coastline) is prone to cyclones. <sup>9</sup> [^9: National Disaster Management Authority. 2019. “Annual Report 2018-19”. National Disaster Management Authority, Government of India.] The country is estimated to have incurred a loss of around US$87\nbillion in 2020 due to extreme weather events such as tropical cyclones, floods, and droughts. India’s average annual mean\ntemperature from 1901 to 2020 showed an increasing trend of 0.62°C/100 years. By the 2090s, temperatures in India are\nprojected to increase by approximately 4.5°C under the RCP8.5 emissions pathway and around 1.2°C on the RCP2.6\nemissions pathway. Rising temperature, sea-level rise, and precipitation\n\nMention: \"NFHS - 5\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Fifth round cited with its 2019–21 reporting period.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003597:3:0", "occurrence_id": "c2e51dcbc98d532d8fae6dd1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUttarakhand Disaster Preparedness and Resilience Project(P179749)\n\n\nremained high, with 35.5 percent of children under the age of 5 being stunted and 67 percent of children aged 6-59 months\nbeing anemic in 2019-21. <sup>7</sup> [^7: Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019–21 report.] Headline employment indicators have improved since 2020 but concerns about job quality and\nreal wage growth remain. <sup>8</sup> [^8: World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.]\n\n\n**India is highly vulnerable to natural disasters and projected climate change will further increase this vulnerability** . More\nthan 80 percent of India's population lives in areas highly susceptible to extreme hydrometeorological disasters, including\nfloods, droughts, and cyclones. Out of the almost 3.3 million km <sup>2</sup> of landmass, 59 percent is prone to earthquakes of\nmoderate to very high intensity, 15 percent is susceptible to landslides, 12 percent is prone to river floods, and 8 percent\n(or 75 percent of the coastline) is prone to cyclones. <sup>9</sup> [^9: National Disaster Management Authority. 2019. “Annual Report 2018-19”. National Disaster Management Authority, Government of India.] The country is estimated to have incurred a loss of around US$87\nbillion in 2020 due to extreme weather events such as tropical cyclones, floods, and droughts. India’s average annual mean\ntemperature from 1901 to 2020 showed an increasing trend of 0.62°C/100 years. By the 2090s, temperatures in India are\nprojected to increase by approximately 4.5°C under the RCP8.5 emissions pathway and around 1.2°C on the RCP2.6\nemissions pathway. Rising temperature, sea-level rise, and precipitation\n\nMention: \"PLFS data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Labour force survey behind the employment indicators in the macro outlook.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003604:4:0", "occurrence_id": "ac08ddd276428ca14df98798", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSomalia Urban Resilience Project Phase II Second Additional Financing (P179775)\n\n\naround 4.3 percent per year. <sup>10</sup> [^10: UN World Population Prospects 2019 and World Urbanization Prospects 2018 (United Nations Department of Economic and Social Affairs).] An estimated 54 percent of Somalis are currently living in cities—compared\nto neighboring Kenya’s 28 percent—and the urban population is expected to triple by 2050. <sup>11</sup> [^11: World Bank. 2021. Somalia Urbanization Review: Fostering Cities as Anchors of Development.] It is\nestimated that approximately 75 percent of the country’s 2.6 million IDPs live in Somali cities fleeing\nviolence and in search of better jobs and services. Consequently, about one-quarter of today’s urban\npopulation are thought to be IDPs. <sup>12</sup> [^12: World Bank 2021.] Somalia is highly susceptible to the effects of climate change and\nextreme weather events, which could exacerbate the rural-urban migration or affect the welfare of the\nurban residents. Depending on the Representative Concentration Pathways scenario, temperature in\nSomalia may rise between 1.4–1.9 °C by 2030. <sup>13</sup> [^13: <u>World Bank (2022, unpublished) ‘Somalia Country Climate Risk Profile.</u>] The annual number of very hot days (with daily maximum\ntemperature above 35 °C) is projected to increase with high certainty all over Somalia, with central\nSomalia being particularly affected. Higher exposure to heatwaves will very likely lead to an increase in\nheat-related mortality. Heatwaves will also impact the Somali economy, and projected sea-level rise\nthreatens the livelihoods of coastal communities, including those in the capital Mogadishu. <sup>14</sup> [^14: <u>World Bank (2022)</u>]\n\n\n5. **As urban\n\nMention: \"UN World Population Prospects 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Projection series behind the 4.3 percent population growth rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003604:4:0", "occurrence_id": "23efa53de0051038d66cc307", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSomalia Urban Resilience Project Phase II Second Additional Financing (P179775)\n\n\naround 4.3 percent per year. <sup>10</sup> [^10: UN World Population Prospects 2019 and World Urbanization Prospects 2018 (United Nations Department of Economic and Social Affairs).] An estimated 54 percent of Somalis are currently living in cities—compared\nto neighboring Kenya’s 28 percent—and the urban population is expected to triple by 2050. <sup>11</sup> [^11: World Bank. 2021. Somalia Urbanization Review: Fostering Cities as Anchors of Development.] It is\nestimated that approximately 75 percent of the country’s 2.6 million IDPs live in Somali cities fleeing\nviolence and in search of better jobs and services. Consequently, about one-quarter of today’s urban\npopulation are thought to be IDPs. <sup>12</sup> [^12: World Bank 2021.] Somalia is highly susceptible to the effects of climate change and\nextreme weather events, which could exacerbate the rural-urban migration or affect the welfare of the\nurban residents. Depending on the Representative Concentration Pathways scenario, temperature in\nSomalia may rise between 1.4–1.9 °C by 2030. <sup>13</sup> [^13: <u>World Bank (2022, unpublished) ‘Somalia Country Climate Risk Profile.</u>] The annual number of very hot days (with daily maximum\ntemperature above 35 °C) is projected to increase with high certainty all over Somalia, with central\nSomalia being particularly affected. Higher exposure to heatwaves will very likely lead to an increase in\nheat-related mortality. Heatwaves will also impact the Somali economy, and projected sea-level rise\nthreatens the livelihoods of coastal communities, including those in the capital Mogadishu. <sup>14</sup> [^14: <u>World Bank (2022)</u>]\n\n\n5. **As urban\n\nMention: \"World Urbanization Prospects 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 54 percent urban share and the tripling by 2050 projection.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003597:2:1", "occurrence_id": "f3cef177e9470b768ef0f52c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  investment, the government is likely to continue pursuing\nfiscal consolidation. The general government deficit is expected to be reduced to 8.5 percent of GDP in FY23/24 from 9.6\npercent in FY22/23, while public debt is going to stabilize around 84 percent.\n\n\n**India has made remarkable progress in reducing extreme poverty over the past two decades. The share of the**\n**population living below US$2.15 per person per day (2017 PPP) is estimated to have halved between 2011 and 2019** . <sup>3</sup>\nThis was accompanied by a sharp decline in the incidence of multidimensional poverty, from 27.7 percent in 2005/06 to\n16.4 percent in 2019/21. <sup>4</sup> However, the pace of poverty reduction has slowed in recent years, with key welfare indicators\nbeing slow to improve. <sup>5</sup> More recent estimates suggest that the pandemic-induced spike in extreme poverty ($2.15), of\nup to 4 percentage points, moderated in 2021-22. Facilitated by widespread access to vaccines, extreme poverty rates are\nestimated to have declined to 13.8 percent in 2021-22, although not as low as pre-pandemic levels. More than 40 percent\nof India’s population lived below the lower-middle income poverty line even before the pandemic. <sup>6</sup> Inequality in\nconsumption has remained stable, with a Gini index of around 35 over the past two decades. Child malnutrition has\n\n\n1 World Bank real GDP forecasts for FY22/23 published in India Development Update, December 2022.\n2 Ibid.\n3 Estimates are based on the methodology documented ina a World Bank Policy Research Working paper by Roy and van der Weide (2022), which relies on imputed\nconsumption from the Consumer Pyramid Household Surveys (CP\n\nMention: \"Consumer Pyramid Household Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Private-panel surveys providing imputed consumption for the poverty estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003604:11:0", "occurrence_id": "75bbb0035f6d7c402c784213", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSomalia Urban Resilience Project Phase II Second Additional Financing (P179775)\n\n\n15. City selection was determined through a criteria based approach, which include (a) drought\ndisplacement projected arrivals; (b) IDPs’ Integrated Phase Classification rating from FEWSNET, which\nmeasures the level of food insecurity; (c) eviction risk—as measured by IDP sites’ security of tenure and\nrecent issuance of eviction notices; (d) the city’s absorption capacity—as measured by the level of political\nwillingness to accommodate IDPs and availability of existing settlement sites for IDPs; and (e) overall\nbalance within the World Bank’s portfolio-wide drought response to different areas in Somalia and the\nongoing CERC. Given the dynamic and evolving drought situation, the actual budget allocation by city and\ntarget area/zone will be determined at the time of project implementation using the allocation formula\nbelow using the up-to-date information at the time of actual funding to determine the final allocations. <sup>27</sup> [^27: Based on the Somalia Humanitarian Needs Overview, the funding requirement by relevant cluster includes (i) food security US$610 m to reach\n5.68 m people, (ii) health US$73.5 m to reach 4.9 m people, (iii) WASH US$74 m to reach 3.89 m people, and (iv) nutrition US$60 m to reach 733k\npeople. However, the humanitarian plans don’t provide activity level costing. While borrowing from the cluster costing methodology, the city\nwise and activity costing will be determined in consultation with government and implementing partners using a criteria-based calculation\nmethodology, similar to the city selection criteria, which will also consider evolving donor commitments in each target city and absorption\ncapacity.]\nThe allocation formula has been agreed by the government.\n\n**Budget Allocation Formula**\n\n\n16. Given the relatively smaller number of drought-induced IDPs arriving in Garowe, the allocation to\nGarowe will be limited to\n\nMention: \"Somalia Humanitarian Needs Overview\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Cluster funding requirements and people-targeted figures used to shape allocation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003604:11:1", "occurrence_id": "14433a9b752b0e801d55005a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  money and\ncomplementing existing programming. FEWS NET estimates that 7,740 people will be in IPC level 5\nbetween Oct-Dec 2022 – largely the Garowe IDP population which will be the primary target of this\nemergency response allocation.\n\n17. The remaining financing of US$42.3 million will be allocated to Baidoa and Mogadishu based on\nthe criteria below. As per the agreement with the government and given the dynamic situation on the\nground, the actual allocation will be determined at the time of activity implementation.\n\n\n        - Equal allocation (50%)\n\n\n        - Drought Needs based allocation (50%)\n\n\nThe Drought Needs allocation is calculated from:\n\n\n      - Projected arrivals of drought-induced IDPs based on the CCCM Cluster New Arrival Tracker (30%\nweight)\n\n      - Levels of food insecurity based on IPC projections from FEWS NET (30% weight)\n\n      - District prioritization in the UN Famine Prevention Strategy (40% weight)\n\n\n27 Based on the Somalia Humanitarian Needs Overview, the funding requirement by relevant cluster includes (i) food security US$610 m to reach\n5.68 m people, (ii) health US$73.5 m to reach 4.9 m people, (iii) WASH US$74 m to reach 3.89 m people, and (iv) nutrition US$60 m to reach 733k\npeople. However, the humanitarian plans don’t provide activity level costing. While borrowing from the cluster costing methodology, the city\nwise and activity costing will be determined in consultation with government and implementing partners using a criteria-based calculation\nmethodology, similar to the city selection criteria, which will also consider evolving donor commitments in each target city and absorption\ncapacity.\n\n\nNov. 11, 2022 Page 12 of 17\n\nMention: \"CCCM Cluster New Arrival Tracker\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Projected drought-induced IDP arrivals weighted 30 percent in the allocation formula.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003604:11:1", "occurrence_id": "80413c821c47e10c9176d36b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  money and\ncomplementing existing programming. FEWS NET estimates that 7,740 people will be in IPC level 5\nbetween Oct-Dec 2022 – largely the Garowe IDP population which will be the primary target of this\nemergency response allocation.\n\n17. The remaining financing of US$42.3 million will be allocated to Baidoa and Mogadishu based on\nthe criteria below. As per the agreement with the government and given the dynamic situation on the\nground, the actual allocation will be determined at the time of activity implementation.\n\n\n        - Equal allocation (50%)\n\n\n        - Drought Needs based allocation (50%)\n\n\nThe Drought Needs allocation is calculated from:\n\n\n      - Projected arrivals of drought-induced IDPs based on the CCCM Cluster New Arrival Tracker (30%\nweight)\n\n      - Levels of food insecurity based on IPC projections from FEWS NET (30% weight)\n\n      - District prioritization in the UN Famine Prevention Strategy (40% weight)\n\n\n27 Based on the Somalia Humanitarian Needs Overview, the funding requirement by relevant cluster includes (i) food security US$610 m to reach\n5.68 m people, (ii) health US$73.5 m to reach 4.9 m people, (iii) WASH US$74 m to reach 3.89 m people, and (iv) nutrition US$60 m to reach 733k\npeople. However, the humanitarian plans don’t provide activity level costing. While borrowing from the cluster costing methodology, the city\nwise and activity costing will be determined in consultation with government and implementing partners using a criteria-based calculation\nmethodology, similar to the city selection criteria, which will also consider evolving donor commitments in each target city and absorption\ncapacity.\n\n\nNov. 11, 2022 Page 12 of 17\n\nMention: \"IPC projections from FEWS NET\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Food insecurity levels weighted 30 percent in the drought-needs allocation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003614:3:1", "occurrence_id": "31fc896f3ae03d17599c591d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  market demand, particularly among youth. Young women (ages 15-24 years) are among the most affected,\nwith 69 percent unemployment, compared to young men at 21 percent (WDI 2021). Furthermore, there is a shortage\nof quality employment opportunities, and a strong skills mismatch between labor supply and demand further reduces\nthe possibility of employment, especially for youth.\n\n6. **The private investment and private sector activity that would be needed to fuel job growth have remained at**\n**suboptimal levels and are concentrated mainly in low productivity subsectors with weak employment growth.**\nPrivate investment has averaged only 15 to 16 percent of GDP <sup>3</sup> [^3: CEIC data.] in recent years, while foreign direct investment (FDI)\naveraged only 2.1 percent of GDP as of March 2022. Most formal enterprises are at the micro or small end of the\nfirm-size spectrum. (Only 1 percent of establishments had 20 or more workers in 2021.) <sup>4</sup> [^4: https://www.state.gov/reports/2022-investment-climate-statements/west-bank-and-gaza/]\n\n7. **Firms face significant barriers to investment.** According to the 2019 Enterprise Survey, <sup>5</sup> [^5: https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/country-profiles/West-Bank-and-Gaza2019.pdf] 47.4 percent of all private\nsector firms pointed to instability as the most significant obstacle to their activity and to making investments, versus\na regional percentage of 28.7 for the Middle East and North Africa (MENA). The second biggest obstacle is access to\nfinance. Only 14 percent of Palestinian firms are able to access finance and have a bank loan/line of credit, compared\nto a regional percentage of 29.4 percent. Only 5.4 percent of investments by firms are financed by bank financial\nservices, while 89.6 percent\n\nMention: \"2019 Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"47.4 percent of private firms named instability as their most significant obstacle.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003614:4:0", "occurrence_id": "f3c3229bfe5fe2a3bf6019cd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinance for Jobs III (P179801)\n\n\nfor and fill the available jobs. A study of the Palestinian Economic Policy Research Institute (MAS) on skills shortage\nand gaps in the industrial sector in the Palestinian territories <sup>6</sup> [^6: https://mas.ps/cached_uploads/download/migrated_files/20192207125413-1-1640017452.pdf] points out the existing lack of skills available in the labor\nmarket. Also, a World Bank report on Job Opportunities for Palestinians <sup>7</sup> [^7: https://documents1.worldbank.org/curated/en/523241562095688030/pdf/West-Bank-and-Gaza-Jobs-in-West-Bank-andGaza-Project-Enhancing-Job-Opportunities-for-Palestinians.pdf] indicated that Palestinian youth are welleducated, creative, and tech-savvy, but the lack of job opportunities is making them increasingly frustrated and\nrisking the possibility of turning this great asset into a liability. To avoid that, more and better job opportunities need\nto be generated in the private sector; but dedicated efforts are also needed to help connect youth to existing job\nopportunities and reduce barriers to female employment.\n\n9. **In this context, gender barriers are significant.** The majority of Palestinian women are highly educated, yet labor\nmarket outcomes for women continue to be a significant challenge, with notable regional disparity. Despite the\nhigher share of women in tertiary education, only 17 percent of women participate in the labor force compared to\n70 percent of men (PCBS 2021) Labor Force Survey Annual Report). This rate is low even by MENA standards, where\nthe average is only 22 percent. Women who do participate in the labor market face high levels of unemployment.\nForty percent are unemployed, compared to 23 percent of men, with a large disparity between the West Bank and\nGaza (PCBS 2021). Palestinian women are also largely absent from decision-making roles, with less than one in five\nfemale workers holding positions in management or leadership. <sup>8</sup>\n\n10. **Gender\n\nMention: \"Labor Force Survey Annual Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Only 17 percent of women participate in the labour force against 70 percent of men.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003627:40:2", "occurrence_id": "a40c71fabd3cff451fb4bfaa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  impact, beyond Project\nimplementation, in the advancement of female engineers and other technical professionals in the RE sector\nthrough these combined measures.\n\n\n91. The Project will measure the impact of these actions on reducing gender gaps in the renewable energy sector\nthrough the following intermediate outcome indicators, which will be separately tracked for MOEUCC and ILBANK:\n(a) percentage increase of female employees who are key staff (i.e., managerial and technical positions) in Projectparticipating consulting firms (MOEUCC, Components 1 and 3a) (b) number of participants in gender-bias training\nfrom potential Project implementing companies in the RE sector (MOEUCC); (c) percentage increase in female\nemployees who are key staff in Project-participating consulting firms (ILBANK, Components 2 and 3b); and (d)\n\n\n44 World Bank Gender Statistics (2020)\n45 ILOSTAT (2020) https://ilostat.ilo.org/how-many-women-work-in-stem/\n46 Qualitative and Quantitative Gender Gap Assessment in the Geothermal Sector in Türkiye, publication forthcoming.\n47 Design of Financial Support and Capacity Building Program for Rooftop Solar Photovoltaic in Türkiye, Final Report, 13 January 2020.\n\n\nPage 37 of 88\n\nMention: \"World Bank Gender Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Gender statistics underpinning the female-employment baseline indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003627:40:2", "occurrence_id": "081d402676d302a6376b77f9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  impact, beyond Project\nimplementation, in the advancement of female engineers and other technical professionals in the RE sector\nthrough these combined measures.\n\n\n91. The Project will measure the impact of these actions on reducing gender gaps in the renewable energy sector\nthrough the following intermediate outcome indicators, which will be separately tracked for MOEUCC and ILBANK:\n(a) percentage increase of female employees who are key staff (i.e., managerial and technical positions) in Projectparticipating consulting firms (MOEUCC, Components 1 and 3a) (b) number of participants in gender-bias training\nfrom potential Project implementing companies in the RE sector (MOEUCC); (c) percentage increase in female\nemployees who are key staff in Project-participating consulting firms (ILBANK, Components 2 and 3b); and (d)\n\n\n44 World Bank Gender Statistics (2020)\n45 ILOSTAT (2020) https://ilostat.ilo.org/how-many-women-work-in-stem/\n46 Qualitative and Quantitative Gender Gap Assessment in the Geothermal Sector in Türkiye, publication forthcoming.\n47 Design of Financial Support and Capacity Building Program for Rooftop Solar Photovoltaic in Türkiye, Final Report, 13 January 2020.\n\n\nPage 37 of 88\n\nMention: \"ILOSTAT\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Labour statistics on women in STEM cited with URL for the sector gap.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003641:2:1", "occurrence_id": "f48f45c96dda6d479fa0cccf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  fiscal consolidation. The government’s sustained\ninvestment push, healthy corporate profits, and a reduction in bank NPLs will likely buoy investment despite reduced risk\nappetite and elevated input costs. Slowing imports growth and ongoing strength in services exports is expected to\ncontribute to a narrowing of the current account deficit to 2.1 percent of GDP in FY23/24. Despite the increased public\ninvestment, the government is likely to continue pursuing fiscal consolidation. The general government deficit will decline\nto 8.7 percent in FY23/24 (9.4 percent: FY22/23), due to lower current spending and modest revenue growth, reflecting\nthe withdrawal of pandemic-related support programs. The current level of the fiscal deficit stabilizes the debt-to-GDP\nratio around 83 percent.\n\n**India has made remarkable progress in reducing extreme poverty over the past two decades. The share of the**\n**population living below US$2.15 per person per day (2017 PPP) is estimated to have halved between 2011 and 2019** . <sup>2</sup> [^2: Estimates are based on the methodology documented in a World Bank Policy Research Working paper by Roy and van der Weide (2022), which relies on imputed\nconsumption from the Consumer Pyramid Household Surveys (CPHS) implemented by the Centre for Monitoring the Indian Economy, a private data company. The\nCPHS sample is re-weighted to make it more nationally representative. The series has been revised to incorporate recent survey years (Macro Poverty Outlook, Spring\n2023). In 2004, India `’` s extreme poverty rate was 39.9 percent using the same international poverty line. In 2011, this rate was 22.5 percent.]\nHowever, the pace of poverty reduction has slowed in recent years, with key welfare indicators being slow to improve. <sup>3</sup> [^3: World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.]\nThesemiddle\n\nMention: \"Consumer Pyramid Household Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Private panel re-weighted for national representativeness to impute consumption.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003641:2:1", "occurrence_id": "6b861e47fbb460f4d36ba925", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  fiscal consolidation. The government’s sustained\ninvestment push, healthy corporate profits, and a reduction in bank NPLs will likely buoy investment despite reduced risk\nappetite and elevated input costs. Slowing imports growth and ongoing strength in services exports is expected to\ncontribute to a narrowing of the current account deficit to 2.1 percent of GDP in FY23/24. Despite the increased public\ninvestment, the government is likely to continue pursuing fiscal consolidation. The general government deficit will decline\nto 8.7 percent in FY23/24 (9.4 percent: FY22/23), due to lower current spending and modest revenue growth, reflecting\nthe withdrawal of pandemic-related support programs. The current level of the fiscal deficit stabilizes the debt-to-GDP\nratio around 83 percent.\n\n**India has made remarkable progress in reducing extreme poverty over the past two decades. The share of the**\n**population living below US$2.15 per person per day (2017 PPP) is estimated to have halved between 2011 and 2019** . <sup>2</sup> [^2: Estimates are based on the methodology documented in a World Bank Policy Research Working paper by Roy and van der Weide (2022), which relies on imputed\nconsumption from the Consumer Pyramid Household Surveys (CPHS) implemented by the Centre for Monitoring the Indian Economy, a private data company. The\nCPHS sample is re-weighted to make it more nationally representative. The series has been revised to incorporate recent survey years (Macro Poverty Outlook, Spring\n2023). In 2004, India `’` s extreme poverty rate was 39.9 percent using the same international poverty line. In 2011, this rate was 22.5 percent.]\nHowever, the pace of poverty reduction has slowed in recent years, with key welfare indicators being slow to improve. <sup>3</sup> [^3: World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.]\nThesemiddle\n\nMention: \"Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Spring 2023 revision incorporating recent survey years into the poverty series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003614:4:1", "occurrence_id": "c30d18e1a35b9211c0cf3d4a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  leadership. <sup>8</sup> [^8: PCBS (2021) shows that the share of women in management positions in government (A4 and above) is 14 percent **.**]\n\n10. **Gender gaps in entrepreneurship are also concerning, with only one percent of firms having majority female**\n**ownership and/or women as top managers.** Furthermore, women-owned businesses, globally, faced a large setback\nin 2020-21. The impact of COVID-19 and the Gaza conflict in May 2021 have further exacerbated inequities, even\nthough World Bank engagement on gender in the West Bank and Gaza has been steadfast, or even intensified over\nthe years. However female-owned businesses have become more vulnerable, with fewer assets to start with. Studies\nshow that 95 percent of Palestinian women reported that their businesses were affected by COVID-19, and 27 percent\nof women-owned businesses shut down. <sup>9</sup> [^9: CGAPIII draft (forthcoming).]\n\n11. **The removal of these barriers, reduction of unemployment, and private sector-led growth are central to the**\n**socioeconomic future of the West Bank and Gaza.** To address some of these barriers and to narrow the current\nseparation between the public and private sectors in the West Bank and Gaza, the World Bank has been investing in\noperations that have helped the private sector to lead and co-finance a more collaborative, output-based approach.\nTo this extent, the World Bank introduced the Finance for Jobs (F4J) Series of Projects (SOP), of which the proposed\nproject is the third operation (F4J III). In a SOP programmatic approach, a series of projects are designed for\nimplementation over time, building on lessons learned and achievements from previous projects in the series. The\nF4J SOP commenced with a first project (F4J I; P151089), which closed satisfactorily on January 31, 2022. <sup>10</sup> It was\nfollowed by a second\n\nMention: \"PCBS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows 14 percent of women hold senior government management positions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003641:3:1", "occurrence_id": "4a26720f42e50e2e7ccbccd5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: mark>1</mark></sup> and contribute significantly to rural economy. In addition, timber and non-timber forest\nproducts provide direct employment of 350 million-work days. <mark>Some of these NTFPs</mark> <sup><mark>2</mark></sup> are part of increasing national/global\nwellness markets and could be segmented as High Value Forest Products (HVFP). With systematic research and\ndevelopment, value chains and market linkage support these HVFPs could unlock India’s forest wealth.\n\n**But declining forest quality and degradation have impacted the outflow of ecosystem services and forest productivity.**\nIndia has 21.71 percent of its land under forest cover <sup>3</sup> [^3: India State of Forest Report, 2021], making it one of the top ten countries with forests in the world.\nThe carbon stock for the Indian forests was estimated to be 7.204 Gt in 2021, placing India among the top six countries\nfor carbon sequestration potential. <sup>4</sup> [^4: World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.] Although forest fires, shifting cultivation, and forest degradation have been sources\nof GHG emissions, the Land Use, Land Use Changes, and Forestry (LULUCF) sector is a net sink in India. <sup>5</sup> [^5: Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019 `–` 21 report.] In 2016, LULUCF\nsequestered 330.76 million tons of CO2, which is about 15 percent of India’s total CO2 emissions from all sectors. <sup>6</sup> [^6: World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.] At the\nsame time, land degradation costs 2.5\n\nMention: \"India State of Forest Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports 21.71 percent of land under forest cover.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003627:65:1", "occurrence_id": "f6268cebeb14f8e3aee7ad29", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: economic assumptions|Macroeconomic assumptions|Macroeconomic assumptions|\n|US$1 in TRY||18.81|WSJ 60-day average as of Jan 30, 2023|\n|EUR 1 in US$||1.05|WSJ 60-day average as of Jan 30, 2023|\n|US$ inflation average consumer prices|Percent|Forecast until 2027 and<br>2% thereafter|IMF WEO database Oct 2022, accessed Feb 2,<br>2023|\n|TRY inflation average consumer prices|Percent|Forecast until 2027 and<br>15% thereafter|IMF WEO database Oct 2022, accessed Feb 2,<br>2023|\n|TRY inflation of energy tariffs|Percent|15%|MENR|\n|Social discount rate|Percent|6.97%|Calculated as per World Bank guidance document|\n|Marginal cost of electricity generation|Marginal cost of electricity generation|Marginal cost of electricity generation|Marginal cost of electricity generation|\n|Natural gas price|EUR/MWh|TTF futures until 2031<br>and 39.5 EUR/MWh<br>thereafter|TTF futures as of Jan 2023|\n|Delivery cost to Turkey|US$/MMBTu|4.38|Castalia (2022) EFA for Distributed Solar in Turkey|\n|Variable O&M cost for CCGT|US$/MWh|4.00|Castalia (2022) EFA for Distributed Solar in Turkey|\n|Efficiency CCGT plant|Percent|55%|Bursa Combined Cycle Gas Turbine Project,<br>Turkey|\n|Transmission and distribution losses|Percent|10%|Enerdata (2021)|\n|GHG emissions|GHG emissions|GHG emissions|GHG emissions|\n|Emission factor|g/kWh|648.80|MENR 2020 emission factor\n\nMention: \"IMF WEO database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Inflation forecasts to 2027 used in the economic assumptions, accessed Feb 2023.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003627:65:1", "occurrence_id": "f0ba3cfe18e82d3c01b10b32", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: economic assumptions|Macroeconomic assumptions|Macroeconomic assumptions|\n|US$1 in TRY||18.81|WSJ 60-day average as of Jan 30, 2023|\n|EUR 1 in US$||1.05|WSJ 60-day average as of Jan 30, 2023|\n|US$ inflation average consumer prices|Percent|Forecast until 2027 and<br>2% thereafter|IMF WEO database Oct 2022, accessed Feb 2,<br>2023|\n|TRY inflation average consumer prices|Percent|Forecast until 2027 and<br>15% thereafter|IMF WEO database Oct 2022, accessed Feb 2,<br>2023|\n|TRY inflation of energy tariffs|Percent|15%|MENR|\n|Social discount rate|Percent|6.97%|Calculated as per World Bank guidance document|\n|Marginal cost of electricity generation|Marginal cost of electricity generation|Marginal cost of electricity generation|Marginal cost of electricity generation|\n|Natural gas price|EUR/MWh|TTF futures until 2031<br>and 39.5 EUR/MWh<br>thereafter|TTF futures as of Jan 2023|\n|Delivery cost to Turkey|US$/MMBTu|4.38|Castalia (2022) EFA for Distributed Solar in Turkey|\n|Variable O&M cost for CCGT|US$/MWh|4.00|Castalia (2022) EFA for Distributed Solar in Turkey|\n|Efficiency CCGT plant|Percent|55%|Bursa Combined Cycle Gas Turbine Project,<br>Turkey|\n|Transmission and distribution losses|Percent|10%|Enerdata (2021)|\n|GHG emissions|GHG emissions|GHG emissions|GHG emissions|\n|Emission factor|g/kWh|648.80|MENR 2020 emission factor\n\nMention: \"Enerdata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies the 10 percent transmission and distribution losses assumption.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003661:9:2", "occurrence_id": "28aa37f769aec0b39e0191a5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Urban unemployment also declined from a peak of 11.6 percent in July 2020 to pre-pandemic levels\nof 4.5 percent in December 2022, but there has been a rise in informality amidst slower employment growth and lower\nlabor force participation. Higher food inflation after the end of pandemic-related emergency cash transfers has impacted\nhouseholds’ purchasing power; it is estimated that monetary poverty could have increased to 16.9 percent in 2022. <sup>5</sup> [^5: World Bank’s staff estimates.]\n\n4. **Vulnerability continues to loom over most households in Bolivia, exacerbated by climate change impacts which**\n**disproportionately impacts the poor** . Over the long term, rising global temperatures are anticipated to reduce Bolivia’s\nGDP due to losses in agricultural productivity, <sup>6</sup> [^6: Rosón and Sartori. 2016. _<u>[Estimation of Climate Change Damage Functions for 140 Regions in the GTAP9 Database](https://elibrary.worldbank.org/doi/abs/10.1596/1813-9450-7728)</u>_ <u>, p. 20.</u>] affecting rural populations the most. The _Global Climate Risk Index 2021_\n\n\n1 Growth, unemployment, and inflation rates come from the <u>[National Statistics Institute.](https://www.ine.gob.bo/index.php/estadisticas-economicas/pib-y-cuentas-nacionales/producto-interno-bruto-anual/producto-interno-bruto-anual-intro/)</u>\n2 Official poverty rates and Gini coefficients are from the <u>[National Statistics Institute; population figures come from the World Development Indicators.](https://www.ine.gob.bo/index.php/estadisticas-economicas/encuestas-de-hogares/)</u>\n3 World Bank. 2021. _<u>[Rebalancing Inclusive and Sustainable Growth to Continue Reducing Poverty in Bolivia: Systematic Country Diagnostic Update](https://elibrary.worldbank.\n\nMention: \"GTAP9 Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Climate damage functions for 140 regions used to project GDP losses.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003661:9:2", "occurrence_id": "5f028b0edf19dfe6392d524d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Urban unemployment also declined from a peak of 11.6 percent in July 2020 to pre-pandemic levels\nof 4.5 percent in December 2022, but there has been a rise in informality amidst slower employment growth and lower\nlabor force participation. Higher food inflation after the end of pandemic-related emergency cash transfers has impacted\nhouseholds’ purchasing power; it is estimated that monetary poverty could have increased to 16.9 percent in 2022. <sup>5</sup> [^5: World Bank’s staff estimates.]\n\n4. **Vulnerability continues to loom over most households in Bolivia, exacerbated by climate change impacts which**\n**disproportionately impacts the poor** . Over the long term, rising global temperatures are anticipated to reduce Bolivia’s\nGDP due to losses in agricultural productivity, <sup>6</sup> [^6: Rosón and Sartori. 2016. _<u>[Estimation of Climate Change Damage Functions for 140 Regions in the GTAP9 Database](https://elibrary.worldbank.org/doi/abs/10.1596/1813-9450-7728)</u>_ <u>, p. 20.</u>] affecting rural populations the most. The _Global Climate Risk Index 2021_\n\n\n1 Growth, unemployment, and inflation rates come from the <u>[National Statistics Institute.](https://www.ine.gob.bo/index.php/estadisticas-economicas/pib-y-cuentas-nacionales/producto-interno-bruto-anual/producto-interno-bruto-anual-intro/)</u>\n2 Official poverty rates and Gini coefficients are from the <u>[National Statistics Institute; population figures come from the World Development Indicators.](https://www.ine.gob.bo/index.php/estadisticas-economicas/encuestas-de-hogares/)</u>\n3 World Bank. 2021. _<u>[Rebalancing Inclusive and Sustainable Growth to Continue Reducing Poverty in Bolivia: Systematic Country Diagnostic Update](https://elibrary.worldbank.\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Supplies population figures while poverty and Gini come from national statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003674:21:1", "occurrence_id": "d8c3725ff8526457a53763e9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  forage seed production and multiplication centers (in collaboration with research\ncenters) and the provision of matching grants in coordination with Subcomponent 3.2, (iii) the\ndevelopment of productive alliances between fodder producers (such as MSEs) and traders, (iv) the\nfacilitation of local and cross-border market links for the offtake of excess forage, and (v) support to pilot\nof joint management of feed stores through public-private partnerships. The subcomponent will target\nproduction of high yielding, nutritive and highly digestible forage species with a potential to lower carbon\nintensity per unit of livestock product, meat, or milk, produced. The project will not encourage\ngovernment-led mass production and free distribution of fodder, as this would impede the sector’s\ncommercialization. However, in the event of a drought emergency (forecast with the support of\nSubcomponents 1.1 and 2.1), the project may facilitate and support fodder production and marketing in\ndrought hotspot areas in collaboration with MSEs through the provision of inputs and advisory services.\nThe subcomponent will be closely coordinated with Subcomponent 1.2, which may finance the\nconstruction of feed stores and processing plants, as well as Subcomponent 4.2, under which the project\nwill support the development or updating of policies and strategies on the privatization and\ncommercialization of fodder and feed production in PAP areas.\n\n\n_Subcomponent 2.3: Resource-Related Conflict Management and Mitigation (US$7.63 million, including US$6.18_\n_million IDA equivalent and US$1.45 million IFAD)_\n\n\n29. This subcomponent will equip PAP stakeholders with tools and capacities to address root causes of\nresource-related community-level conflict in PAP areas. Strong conflict management governance systems are\ncritical to ensure peace and cohesion in face of climate change related events, amongst others. The project will\napproach this by updating conflict assessments conducted during LLRP I and assessing new project areas, with\n\nMention: \"conflict assessments conducted during LLRP I\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Phase-one conflict assessments to be updated and extended to new project areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003679:5:0", "occurrence_id": "d52027e1c5b34601ceb82c13", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHarmonizing and Improving Statistics in West and Central Africa (HISWACA) - SOP 2 (P180085)\n\n\nrecommendations and are making more frequent revisions to their National Accounts. The geographic\ncoverage, timeliness, and base year of the Consumer Price Index (CPI) have also improved. External trade\nstatistics are harmonized in many countries, and most of the countries use the same software,\nEUROTRACE. <sup>10</sup> [^10: EUROTRACE is a data management and processing application for the collection, compilation, and dissemination of external trade data at the\nnational and regional levels.] With the World Bank’s support, the number of countries conducting regular surveys that\ncollect data to estimate poverty has increased. The quality (including timeliness) of social indicators has\nalso improved with the support of donor-funded programs such as the Demographic and Health Survey\n(DHS) and the Multiple Indicator Cluster Survey (MICS). Innovative approaches based on satellite data and\nHigh Frequency Phone Surveys (HFPS) are now incorporated in the statistics offices’ tools.\n\n\nSectoral and Institutional Context\n\n\n7. **For decades, many African countries have experienced a vicious cycle of under-funding, under-**\n**provision, low capacity, and under-utilization of data for monitoring and policy purposes, to provide**\n**better living conditions for African peoples.** In this regard, building capacity for the production and use\nof statistics has been one of the recurrent development themes in Africa over the years. Since the 2000s,\nmany development initiatives were undertaken to improve the African statistical landscape, at the\ncontinental, regional and country levels, taking advantage of the many opportunities that have been\npresented by the changing policy environment, including the focus by national governments and the\ninternational community on management for development results. These initiatives include the following:\n\n\n     - Development of National Strategies for the Development of Statistics (NSDS) in many countries\nsince 2005.\n\n     - Improved legislation on statistics with more countries making the National Statistics\n\nMention: \"satellite data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Innovative satellite and phone-survey approaches now incorporated into statistics offices' tools.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003669:2:2", "occurrence_id": "6d6c1f2736d78b07a181bc14", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  erosion of the fiscal space.\n\n\n**3.** **Climate change poses a serious risk for Cote d’Ivoire’s economy.** During 1995-2018, growth almost entirely came\nthrough capital accumulation and the extensive use of natural capital, rather than through sustained productivity\ngrowth. <sup>5</sup> The country heavily relies on agriculture, which engages roughly two-thirds of the population of over 26 million,\nand accounts for 21.4% of GDP <sup>6</sup> . Côte d’Ivoire is the world's largest producer and exporter of cocoa beans and a significant\nproducer and exporter of coffee and palm oil. Consequently, the economy is highly sensitive to fluctuations in\n\n\n1 World Bank. Côte d'Ivoire Macro Poverty Outlook Report, 2021.\n2 IMF Data Mapper, October 2022.\n3 IMF Data Mapper, October 2022.\n4 World Bank. Côte d’Ivoire Economic Update. The Digital Sector: Central Enabler in Emerging Economies, April 2022.\n5 World Bank, 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future.\n6 World Bank national accounts data, and OECD National Accounts data files.\n\n\nPage 3 of 19\n\nMention: \"World Bank national accounts data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National accounts series behind the growth and GDP figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003669:2:2", "occurrence_id": "ee86ba2e535b169bc0b075c0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  erosion of the fiscal space.\n\n\n**3.** **Climate change poses a serious risk for Cote d’Ivoire’s economy.** During 1995-2018, growth almost entirely came\nthrough capital accumulation and the extensive use of natural capital, rather than through sustained productivity\ngrowth. <sup>5</sup> The country heavily relies on agriculture, which engages roughly two-thirds of the population of over 26 million,\nand accounts for 21.4% of GDP <sup>6</sup> . Côte d’Ivoire is the world's largest producer and exporter of cocoa beans and a significant\nproducer and exporter of coffee and palm oil. Consequently, the economy is highly sensitive to fluctuations in\n\n\n1 World Bank. Côte d'Ivoire Macro Poverty Outlook Report, 2021.\n2 IMF Data Mapper, October 2022.\n3 IMF Data Mapper, October 2022.\n4 World Bank. Côte d’Ivoire Economic Update. The Digital Sector: Central Enabler in Emerging Economies, April 2022.\n5 World Bank, 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future.\n6 World Bank national accounts data, and OECD National Accounts data files.\n\n\nPage 3 of 19\n\nMention: \"OECD National Accounts data files\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Combined with World Bank accounts to fill and validate the series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003661:12:1", "occurrence_id": "9c130e0281f76ffd35773a45", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  more: Bolivian women devote an average of 6.8 hours to unpaid\nnon-domestic work and 6 hours to unpaid domestic work, while men only dedicate 3.6 hours to the former and 4.3 to the\nlatter. <sup>28</sup> In areas where there is a lack of fuel or energy resources in general, particularly in rural areas, women face\nextended work hours due to their household tasks and are responsible for obtaining fuel (firewood), especially for food\npreparation activities, which is estimated to require an average of between 2 and 20 hours per week. This use of their\ntime minimizes women’s opportunities for paid work and development of skills. A study by Oxfam Bolivia revealed that\n58% of Bolivian women would prefer to engage in paid work if not for the obligation to do unpaid household chores and\ncaregiving. <sup>29</sup> Moreover, the prevalent use of batteries, kerosene burners, and wood for energy has disproportionately\nhigh costs for women and children. Women are also underrepresented in the energy sector. In the secondary sector,\nwhere energy is included, men constitute almost 74 percent of the employed population. Moreover, according to\nestimates made by the Energy Hub, women represent only 21.39 percent of those employed in electricity, gas, and water\ncompanies. <sup>30</sup> Nonetheless, to date, there is no large-scale study of women's participation in the sector. The main barriers\nto their participation identified by an exploratory study by Branisa, Cabero, and Guzmán (2020) are that social norms and\n\n\n26 Idem.\n27 Ministerio de Hidrocarburos y Energías. 2022. _<u>[Balance Energético Nacional a Nivel Departamental 2021](https://www.mhe.gob.bo/balance-energetico-nacional-a-ni\n\nMention: \"Balance Energético Nacional a Nivel Departamental 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Departmental energy balance cited for sector employment and participation data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003669:9:0", "occurrence_id": "509bda771f4d12bd7b44d376", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCote d'Ivoire Digital Acceleration Project (P180059)\n\n\nintermediate and highly specialized digital skills trainings that will be required by 2030 <sup>33</sup> . In addition, the country faces\nskills shortages in critical areas like cybersecurity. It is calculated that 2018 there were only 7,000 certified security\nprofessionals in the continent, one for every 177,000 people <sup>34</sup> .\n\n\n**18.** **Occupational segregation in the ICT sector is particularly prevalent.** According to the International Labor\nOrganization (ILO), in Cote d’Ivoire, 24% females are employed in the ICT sector, against 76% males <sup>35</sup> . This gender gap in\nthe ICT employment sector may partly stem from discriminatory social norms and biases women hold about their own\npotential. The Social Institutions and Gender Index (SIGI) Cote d’Ivoire report <sup>36</sup> shows that stereotypes about boys’ and\ngirls’ innate academic and professional abilities are still widespread. These stereotypes focus on the supposedly natural\nabilities of boys to excel in scientific fields or to work in higher-paying professions such as engineering and computer\nscience. On the other side, women who hold gender-based stereotypes regarding their science abilities, for example,\ndemonstrate lower interest in careers in the field Science, Technology, Engineering, and Math (STEM) <sup>37</sup> .\n\n\n**19.** **Enhancing women’s digital skills could help the country achieve greater socio-economic inclusion and**\n**diversification.** Since 2010, Côte d 'Ivoire has made significant progress, both in terms of access to primary and secondary\neducation as well as in terms of promoting girls' education. However, the educational outcomes for girls and women\ncontinue\n\nMention: \"Social Institutions and Gender Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Country report showing widespread stereotypes about boys' and girls' abilities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003641:3:3", "occurrence_id": "96aa813825e283d1208b5036", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in 2020 (an increase of about 1.35\nGtCO2 against the target of 2.5 to 3 GtCO2).\n\n**India’s North Eastern Region (NER) stretches from the foothills of the Himalayas in the eastern range and is surrounded**\n**by Bangladesh, Bhutan, China, Nepal and Myanmar.** The NER states are classified by the GoI as “special category states”\n\n\n[4 World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n5 Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019 `–` 21 report.\n6 World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.\n7 FSI, 2022; Global Forest Resources Assessment 2020, FAO\n8 Land-use map of India, National Institute of Hydrology\n9 Tribal Co-Operative Marketing Development Federation of India Limited Ministry of Tribal Affairs, Govt. of India\n<u>[https://trifed.tribal.gov.in/non/timber/msp-mfp](https://trifed.tribal.gov.in/non/timber/msp-mfp)</u>\n<u>10 World Economic Forum, Nature loss is eating away at our food supply and diversity (2020)</u>\n1 <u>[https://www.statista.com/statistics/1083252/india-economic-contribution-of-non-timber-forest-products/](https://www.statista.com/statistics/1083252/india-economic-contribution-of-non-timber-forest-products/)</u>\n2\n\nMention: \"World Bank Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Spring 2023 outlook with PLFS estimates for the employment indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003641:3:3", "occurrence_id": "c733bf9e80c598769d93177a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  in 2020 (an increase of about 1.35\nGtCO2 against the target of 2.5 to 3 GtCO2).\n\n**India’s North Eastern Region (NER) stretches from the foothills of the Himalayas in the eastern range and is surrounded**\n**by Bangladesh, Bhutan, China, Nepal and Myanmar.** The NER states are classified by the GoI as “special category states”\n\n\n[4 World Bank Poverty and Inequality Platform. https://pip.worldbank.org/country-profiles/IND.](https://pip.worldbank.org/country-profiles/IND)\n5 Government of India, Ministry of Health and Family Welfare, 2022. National Family Health Survey (NFHS - 5), 2019 `–` 21 report.\n6 World Bank Macro Poverty Outlook. Spring 2023. Estimates from PLFS data.\n7 FSI, 2022; Global Forest Resources Assessment 2020, FAO\n8 Land-use map of India, National Institute of Hydrology\n9 Tribal Co-Operative Marketing Development Federation of India Limited Ministry of Tribal Affairs, Govt. of India\n<u>[https://trifed.tribal.gov.in/non/timber/msp-mfp](https://trifed.tribal.gov.in/non/timber/msp-mfp)</u>\n<u>10 World Economic Forum, Nature loss is eating away at our food supply and diversity (2020)</u>\n1 <u>[https://www.statista.com/statistics/1083252/india-economic-contribution-of-non-timber-forest-products/](https://www.statista.com/statistics/1083252/india-economic-contribution-of-non-timber-forest-products/)</u>\n2\n\nMention: \"Global Forest Resources Assessment 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"FAO assessment cited with FSI data for forest resources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003679:4:2", "occurrence_id": "fa381a58c1e9234eca6ca105", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to foster sustainable and**\n**equitable economic growth.** Accurate, timely, and reliable data and statistics are instrumental for\ndesigning, implementing, and monitoring effective development policies and programs to accelerate\npoverty reduction, promote equitable growth, and address climate change. The National Statistical\nSystems (NSSs) in countries along with Regional Economic Communities (RECs) are the primary producers\nof these core data and official statistics, which in a well-functioning Integrated National Data System are\ncomplemented with information produced by many stakeholders in the private sector—including satellite\nand remote sensing data or by-products such as Call Detailed Record (CDR) in the telecommunications\nsector—and by academia, civil society organizations, and citizens.\n\n\n6. **The COVID-19 pandemic slowed progress in many statistical operations such as population and**\n**housing censuses (PHCs), economic censuses, and household surveys, but some progress has been made**\n**in the production of statistics.** Several countries are conducting PHCs in line with international\n\n\n8 Serdeczny, Olivia, et al. 2017. “Climate Change Impacts in Sub-Saharan Africa: From Physical Changes to Their Social Repercussions.”\n_Regional Environmental Change_ 17: 1585–1600.\n9 UNHCR Standing Committee, Update - West and Central Africa (February 24, 2020, and October 31, 2022).\n\n\nPage 5 of 15\n\nMention: \"Call Detailed Record\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Telecom by-product cited as private-sector data complementing official statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003696:17:1", "occurrence_id": "b92eda2e27d3a7befe00b970", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nclimate change accelerates the deterioration of these roads, leading to more frequent road closures, isolating\nresidents for longer periods at a time, and affecting their livelihoods and access to vital services at a time when\nsuch services are undergoing consolidation, resulting in fewer and more distant schools and health facilities.\n\n\n8. **In 2015, the GoM made a strategic decision to prioritize the rehabilitation and maintenance of a core**\n**network of local and regional roads** . The decision was followed by the identification of 1,135 km of priority\ncorridors (26 total) connecting villages to the national road network. As part of the Bank-financed Local Roads\nImprovement Project (LRIP), 150 km of priority roads were rehabilitated, making them more climate resilient, and\nestablishing a model for future interventions in rural roads. Despite some improvements in road conditions,\nprogress has been limited due to insufficient allocation of resources to the rural road network compared to needs.\n\n\n9. **The costs to the transport sector from disasters can substantially affect recurrent maintenance budgets.**\nAfter a large event, reconstruction in the transport sector often represents one of the greatest fiscal liabilities for\nnational and subnational governments. A comprehensive road asset management system (RAMS) that includes\ndetailed flood hazard and landslide susceptibility data can support evidence-based decision making on flood\nimpacts on the road network. Once this information is collected, criticality assessments of transport systems can\nbe combined with data on vulnerability to support prioritization of resilience investments in the transport sector.\n\n\n10. **The country’s transport sector remains heavily male-dominated and gender disparities in infrastructure**\n**design is a challenge.** Women in Moldova are more reliant on public transport than men due to limited access to\nprivate cars; they also walk longer distances. <sup>2</sup> Adequate and safe rural transport infrastructure is therefore critical\nfor women to help overcome spatial constraints, accumulate a higher level of human\n\nMention: \"flood hazard and landslide susceptibility data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Hazard layers to be embedded in the road asset management system for prioritisation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003696:17:1", "occurrence_id": "6e3a6ac58d557ff740444e3a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nclimate change accelerates the deterioration of these roads, leading to more frequent road closures, isolating\nresidents for longer periods at a time, and affecting their livelihoods and access to vital services at a time when\nsuch services are undergoing consolidation, resulting in fewer and more distant schools and health facilities.\n\n\n8. **In 2015, the GoM made a strategic decision to prioritize the rehabilitation and maintenance of a core**\n**network of local and regional roads** . The decision was followed by the identification of 1,135 km of priority\ncorridors (26 total) connecting villages to the national road network. As part of the Bank-financed Local Roads\nImprovement Project (LRIP), 150 km of priority roads were rehabilitated, making them more climate resilient, and\nestablishing a model for future interventions in rural roads. Despite some improvements in road conditions,\nprogress has been limited due to insufficient allocation of resources to the rural road network compared to needs.\n\n\n9. **The costs to the transport sector from disasters can substantially affect recurrent maintenance budgets.**\nAfter a large event, reconstruction in the transport sector often represents one of the greatest fiscal liabilities for\nnational and subnational governments. A comprehensive road asset management system (RAMS) that includes\ndetailed flood hazard and landslide susceptibility data can support evidence-based decision making on flood\nimpacts on the road network. Once this information is collected, criticality assessments of transport systems can\nbe combined with data on vulnerability to support prioritization of resilience investments in the transport sector.\n\n\n10. **The country’s transport sector remains heavily male-dominated and gender disparities in infrastructure**\n**design is a challenge.** Women in Moldova are more reliant on public transport than men due to limited access to\nprivate cars; they also walk longer distances. <sup>2</sup> Adequate and safe rural transport infrastructure is therefore critical\nfor women to help overcome spatial constraints, accumulate a higher level of human\n\nMention: \"data on vulnerability\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Combined with criticality assessments to prioritise resilience investments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003705:14:0", "occurrence_id": "6e23abd6dbbfd324ec70321a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye Socially Inclusive Green Transition Project (P180173)\n\n\n8. **There are numerous factors affecting women and Youth’s access to economic opportunities in Türkiye.**\nDespite an improvement in the education level of women and Youth, labor force participation among highly\neducated women is lower compared to men: about 68 percent of university-educated women were in\nemployment in 2022 compared to about 85 percent for the university-educated men in 2022. <sup>8</sup> [^8: Turkish Statistical Institute: https://data.tuik.gov.tr/Bulten/Index?p=Istatistiklerle-Kadin-2021-45635&dil=2.] Entrepreneurial\nskills of women and Youth are lower than the population average. In addition, their business networks are smaller\nand less developed than the average population. Women’s care burden and limited access to care services are\nidentified as a central barrier to women’s labor force participation in Türkiye. <sup>9</sup> [^9: ILO, SIDA (Swedish International Development Agency), and ISKUR (Turkish Employment Agency). 2015. Gender Equality in the World of Work; TSKB. 2023.\nPurple Leverage: Climate Financing for the Empowerment of Women, p. 7; Gökmen, C. E. 2022. “A New Perspective on Women’s Care Burden and\nEmployment in Turkey.” New Perspectives on Turkey 66: 11–34.]\n\n9. **There is room for improvement for women entrepreneurs’ access to finance.** Only 63 percent of women\nin Türkiye have a bank account, compared with 85 percent of men. <sup>10</sup> [^10: World Development Indicators (2021).] This gender gap is significantly higher than\nthe average gender gap in upper middle-income countries. According to the World Bank Enterprise Survey, access\nto finance is a key constraint to firms conducting and expanding business in Türkiye, particularly small and medium\nenterprises (SMEs)\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows 63 percent of women hold a bank account against 85 percent of men.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003705:14:0", "occurrence_id": "d7c04ef8ec213c936b57892d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye Socially Inclusive Green Transition Project (P180173)\n\n\n8. **There are numerous factors affecting women and Youth’s access to economic opportunities in Türkiye.**\nDespite an improvement in the education level of women and Youth, labor force participation among highly\neducated women is lower compared to men: about 68 percent of university-educated women were in\nemployment in 2022 compared to about 85 percent for the university-educated men in 2022. <sup>8</sup> [^8: Turkish Statistical Institute: https://data.tuik.gov.tr/Bulten/Index?p=Istatistiklerle-Kadin-2021-45635&dil=2.] Entrepreneurial\nskills of women and Youth are lower than the population average. In addition, their business networks are smaller\nand less developed than the average population. Women’s care burden and limited access to care services are\nidentified as a central barrier to women’s labor force participation in Türkiye. <sup>9</sup> [^9: ILO, SIDA (Swedish International Development Agency), and ISKUR (Turkish Employment Agency). 2015. Gender Equality in the World of Work; TSKB. 2023.\nPurple Leverage: Climate Financing for the Empowerment of Women, p. 7; Gökmen, C. E. 2022. “A New Perspective on Women’s Care Burden and\nEmployment in Turkey.” New Perspectives on Turkey 66: 11–34.]\n\n9. **There is room for improvement for women entrepreneurs’ access to finance.** Only 63 percent of women\nin Türkiye have a bank account, compared with 85 percent of men. <sup>10</sup> [^10: World Development Indicators (2021).] This gender gap is significantly higher than\nthe average gender gap in upper middle-income countries. According to the World Bank Enterprise Survey, access\nto finance is a key constraint to firms conducting and expanding business in Türkiye, particularly small and medium\nenterprises (SMEs)\n\nMention: \"World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Identifies access to finance as a key constraint especially for SMEs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003705:14:1", "occurrence_id": "db162739011392495d6cb384", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  percent of all firms in Türkiye. <sup>11</sup> [^11: Enterprise Surveys www.enterprisesurveys.org The World Bank Group.] Some of these difficulties are a result of\nthe relatively smaller size of the female-led establishments.\n\n10. **Micro, small, and medium enterprises (MSMEs) in less developed regions have limited access to finance**\n**and thus a limited capacity to support growth and employment.** World Bank data show that improved access to\nfinance has a positive effect on labor market outcomes, resulting in higher employment growth. In less developed\nregions, access to finance is limited. Data from TurkStat indicates that loans per capita in leading regions is more\nthan four times higher than in the least developed regions. Intra-regional disparities in access to finance exist\nwithin both developed and less developed regions.\n\n11. **The Socially Inclusive Green Transition Project (SoGreen) will complement the Government’s climate**\n**action and green transition ambitions by addressing key challenges in women and Youth access to economic**\n**opportunities.** The project will focus on supporting women, Youth, and MSMEs to access new economic\nopportunities that emerge through Türkiye’s green transition. The project will also complement ongoing and\npipeline operations in Türkiye. It will complement the Green Industry (P179255) and the Green Finance (P178274)\nprojects that focus on green transformation of industrial firms. The project will also complement the Industrial\nEmissions Reduction Project (P180762) that aims at financing air pollutant and greenhouse gas (GHG) emission\nreductions in Türkiye’s industrial sector and economy. Finally, the project will complement the Green Export\nProject (P181436) that aims at supporting Turkish exporters in their green transition and to expand green exports\nthrough longer-term financing. While these operations focus most only industrial firms and export-oriented\nenterprises, SoGreen will focus on vulnerable areas and beneficiaries, prioritizing women and Youth-owned/led\nMSME\n\nMention: \"Enterprise Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited with URL as the source for firm-size and ownership shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003705:14:1", "occurrence_id": "3f2ad7953cb97ae63805ee10", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  percent of all firms in Türkiye. <sup>11</sup> [^11: Enterprise Surveys www.enterprisesurveys.org The World Bank Group.] Some of these difficulties are a result of\nthe relatively smaller size of the female-led establishments.\n\n10. **Micro, small, and medium enterprises (MSMEs) in less developed regions have limited access to finance**\n**and thus a limited capacity to support growth and employment.** World Bank data show that improved access to\nfinance has a positive effect on labor market outcomes, resulting in higher employment growth. In less developed\nregions, access to finance is limited. Data from TurkStat indicates that loans per capita in leading regions is more\nthan four times higher than in the least developed regions. Intra-regional disparities in access to finance exist\nwithin both developed and less developed regions.\n\n11. **The Socially Inclusive Green Transition Project (SoGreen) will complement the Government’s climate**\n**action and green transition ambitions by addressing key challenges in women and Youth access to economic**\n**opportunities.** The project will focus on supporting women, Youth, and MSMEs to access new economic\nopportunities that emerge through Türkiye’s green transition. The project will also complement ongoing and\npipeline operations in Türkiye. It will complement the Green Industry (P179255) and the Green Finance (P178274)\nprojects that focus on green transformation of industrial firms. The project will also complement the Industrial\nEmissions Reduction Project (P180762) that aims at financing air pollutant and greenhouse gas (GHG) emission\nreductions in Türkiye’s industrial sector and economy. Finally, the project will complement the Green Export\nProject (P181436) that aims at supporting Turkish exporters in their green transition and to expand green exports\nthrough longer-term financing. While these operations focus most only industrial firms and export-oriented\nenterprises, SoGreen will focus on vulnerable areas and beneficiaries, prioritizing women and Youth-owned/led\nMSME\n\nMention: \"Data from TurkStat\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows loans per capita in leading regions over four times the least developed.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003679:6:0", "occurrence_id": "fad6cf07a3f1fec4b78f02e0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHarmonizing and Improving Statistics in West and Central Africa (HISWACA) - SOP 2 (P180085)\n\n\nhas also improved with the support of donor-funded programs such as the Demographic and Health\nSurvey (DHS) and the Multiple Indicator Cluster Survey (MICS).\n\n\n9. **The increase in the World Bank Statistical Capacity Indicator (SCI)** <sup>11</sup> [^11: The World Bank’s SCI is a composite score assessing a country’s statistical system based on a diagnostic framework assessing methodology,\ndata sources, periodicity, and timeliness. Countries are scored on 25 criteria in these areas using publicly available information and country\ninput. The overall SCI score is calculated as the average of all three area scores on a scale of 0 to 100.] **illustrates this progress in**\n**statistical capacity building in Africa over the past sixteen years, though the progress made is still**\n**modest.** The SCI provides a grade for every country in the world on the methodology, data sources,\nperiodicity, and timeliness of core economic and social statistics. The SCI for SSA countries (excluding high\nincome <sup>12</sup> [^12: Mauritius and Seychelles] ) increased from 55.2 in 2004 to 57.0 in 2020 (an increase of 1.8 score points), with progress in\ntwo of the three dimensions of the SCI: methodology and periodicity. SSA’s score for periodicity is close\nto those of the rest of the world, but it does poorly in source data (worse than all except the Middle\nEast/North Africa and not improving between 2004 and 2020).\n\n\n**10.** **However, despite these gains in the frequency and quality of censuses and household surveys,**\n**African Statistical Systems are far from meeting the user needs.** The SCI for Africa is still the lowest\namong developing regions and\n\nMention: \"Demographic and Health\nSurvey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Donor-funded survey programme credited with improving social indicator timeliness.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003679:6:0", "occurrence_id": "a9ed41b9236210b285e954c4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHarmonizing and Improving Statistics in West and Central Africa (HISWACA) - SOP 2 (P180085)\n\n\nhas also improved with the support of donor-funded programs such as the Demographic and Health\nSurvey (DHS) and the Multiple Indicator Cluster Survey (MICS).\n\n\n9. **The increase in the World Bank Statistical Capacity Indicator (SCI)** <sup>11</sup> [^11: The World Bank’s SCI is a composite score assessing a country’s statistical system based on a diagnostic framework assessing methodology,\ndata sources, periodicity, and timeliness. Countries are scored on 25 criteria in these areas using publicly available information and country\ninput. The overall SCI score is calculated as the average of all three area scores on a scale of 0 to 100.] **illustrates this progress in**\n**statistical capacity building in Africa over the past sixteen years, though the progress made is still**\n**modest.** The SCI provides a grade for every country in the world on the methodology, data sources,\nperiodicity, and timeliness of core economic and social statistics. The SCI for SSA countries (excluding high\nincome <sup>12</sup> [^12: Mauritius and Seychelles] ) increased from 55.2 in 2004 to 57.0 in 2020 (an increase of 1.8 score points), with progress in\ntwo of the three dimensions of the SCI: methodology and periodicity. SSA’s score for periodicity is close\nto those of the rest of the world, but it does poorly in source data (worse than all except the Middle\nEast/North Africa and not improving between 2004 and 2020).\n\n\n**10.** **However, despite these gains in the frequency and quality of censuses and household surveys,**\n**African Statistical Systems are far from meeting the user needs.** The SCI for Africa is still the lowest\namong developing regions and\n\nMention: \"Multiple Indicator Cluster Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Second donor-funded programme supporting improvements in social statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003705:24:1", "occurrence_id": "61b5ccb0c5a37910359120d9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  about the uncertainty of future prices and\noperational and technical risks.\n\n48. The above-described demand side constraints are compounded by supply-side challenges, with limited\nfinance for green investments. Among the particular challenges in Türkiye noted in the 2022 World Bank Green\nFinance report are (a) Mismatch in funding tenor: the banking-dominated financial sector has a limited ability to\nprovide affordable longer-term green finance for green investments due to its short-term funding structure and\n(b) Knowledge gaps: it is challenging for banks to access data on green financing needs, particularly for SMEs, and\nusually do not factor in environmental performance when assessing SME lending risks.\n\n49. **Barriers in access to finance for SMEs, with gender gaps** . In addition to the demand- and supply-side\nconstraints for green investments, barriers to access to finance for SMEs and specific barriers (as detailed in the\ncontext section) in access to finance for women-led or managed firms (a priority for SoGreen) justify public\nsupport.\n\n50. **Barriers in access to finance in less developed regions.** As detailed in the context section, data from\nTurkStat (2019) indicates that loans per capita in leading regions is significantly higher than in the least developed\nregions. Even controlling for GDP per capita differences, the finance gap across regions is more than 60 percent,\nindicating there are likely supply as well as demand-side factors at play. Large intra-regional disparities in financing\nexist within both developed and less developed regions. Data from the World Bank Enterprise Survey confirm\nlarge variations in firms’ access to finance across regions. For example, 63 percent of firms in the Mediterranean\nregion reported having a bank loan or line of credit versus just six percent in Central Anatolia region.\n\n51. In the context of the market failures and constraints discussed above, project interventions are not\nexpected to distort the existing market for finance and are intended to support the Government in\n\nMention: \"TurkStat\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Regional loan data showing a finance gap above 60 percent controlling for GDP per capita.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003705:24:1", "occurrence_id": "2fab7c0963801013552a6512", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  about the uncertainty of future prices and\noperational and technical risks.\n\n48. The above-described demand side constraints are compounded by supply-side challenges, with limited\nfinance for green investments. Among the particular challenges in Türkiye noted in the 2022 World Bank Green\nFinance report are (a) Mismatch in funding tenor: the banking-dominated financial sector has a limited ability to\nprovide affordable longer-term green finance for green investments due to its short-term funding structure and\n(b) Knowledge gaps: it is challenging for banks to access data on green financing needs, particularly for SMEs, and\nusually do not factor in environmental performance when assessing SME lending risks.\n\n49. **Barriers in access to finance for SMEs, with gender gaps** . In addition to the demand- and supply-side\nconstraints for green investments, barriers to access to finance for SMEs and specific barriers (as detailed in the\ncontext section) in access to finance for women-led or managed firms (a priority for SoGreen) justify public\nsupport.\n\n50. **Barriers in access to finance in less developed regions.** As detailed in the context section, data from\nTurkStat (2019) indicates that loans per capita in leading regions is significantly higher than in the least developed\nregions. Even controlling for GDP per capita differences, the finance gap across regions is more than 60 percent,\nindicating there are likely supply as well as demand-side factors at play. Large intra-regional disparities in financing\nexist within both developed and less developed regions. Data from the World Bank Enterprise Survey confirm\nlarge variations in firms’ access to finance across regions. For example, 63 percent of firms in the Mediterranean\nregion reported having a bank loan or line of credit versus just six percent in Central Anatolia region.\n\n51. In the context of the market failures and constraints discussed above, project interventions are not\nexpected to distort the existing market for finance and are intended to support the Government in\n\nMention: \"World Bank Enterprise Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Confirms regional variation: 63 percent of Mediterranean firms have credit versus six percent in Central Anatolia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003777:2:1", "occurrence_id": "85cd2174b53cbcb8377224af", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to their pre-pandemic status due to\nhigher inflation. More importantly, households have been affected by high levels of food insecurity and low access to\neducation and health services since the onset of the pandemic, foreshadowing long-term impacts on human capital. <sup>3</sup> After\ndecades of negligible productivity gains, Ecuador needs to enhance its productivity not only to improve competitiveness\nin a dollarized economy but also to generate new engines of growth and employment as a decarbonizing world induces\nthe country to move away from the oil sector. High informality and limited diversification result from an underdeveloped\nprivate sector linked to structural issues, such as the prevalence of protectionism, rigid labor markets, and distortive\nmarket regulation.\n\n2. **While extreme poverty is mostly concentrated in rural areas, it is increasingly becoming an urban problem.**\nApproximately two thirds of the country’s population (64 percent) currently live in urban areas <sup>4</sup> [^4: According to the information processed from the 2019 National Survey of Employment, Unemployment and Underemployment, 70.1% of households\nin Ecuador live in urban areas, while 29.9% do so in rural areas. Most rural households report being homeowners, whereas 21% report renting the\nplace they inhabit.] . As in most Latin American\ncountries, Ecuadorian cities are the result of a mass migration process from rural to urban areas that began 1960 <sup>5</sup> [^5: Villacis & Carrillo, 2012] . Unable\nto find housing opportunities in the cities, newcomers resorted to informal occupation of land and self-construction of\ntheir homes, in areas increasingly distant from urban centers and often vulnerable to disasters. This dynamic resulted in\nunplanned and uncontrolled urban growth, the horizontal expansion of urban areas, the proliferation of slums and poorly\nserviced neighborhoods, and substandard housing.\n\n\n[1 World Bank Data, https://data.worldbank.org/country/EC, retrieved January 2023.](https://\n\nMention: \"2019 National Survey of Employment, Unemployment and Underemployment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows 70.1 percent of households urban, with rural homeownership patterns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003777:2:1", "occurrence_id": "3b14259cb565a0db272bfd5a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to their pre-pandemic status due to\nhigher inflation. More importantly, households have been affected by high levels of food insecurity and low access to\neducation and health services since the onset of the pandemic, foreshadowing long-term impacts on human capital. <sup>3</sup> After\ndecades of negligible productivity gains, Ecuador needs to enhance its productivity not only to improve competitiveness\nin a dollarized economy but also to generate new engines of growth and employment as a decarbonizing world induces\nthe country to move away from the oil sector. High informality and limited diversification result from an underdeveloped\nprivate sector linked to structural issues, such as the prevalence of protectionism, rigid labor markets, and distortive\nmarket regulation.\n\n2. **While extreme poverty is mostly concentrated in rural areas, it is increasingly becoming an urban problem.**\nApproximately two thirds of the country’s population (64 percent) currently live in urban areas <sup>4</sup> [^4: According to the information processed from the 2019 National Survey of Employment, Unemployment and Underemployment, 70.1% of households\nin Ecuador live in urban areas, while 29.9% do so in rural areas. Most rural households report being homeowners, whereas 21% report renting the\nplace they inhabit.] . As in most Latin American\ncountries, Ecuadorian cities are the result of a mass migration process from rural to urban areas that began 1960 <sup>5</sup> [^5: Villacis & Carrillo, 2012] . Unable\nto find housing opportunities in the cities, newcomers resorted to informal occupation of land and self-construction of\ntheir homes, in areas increasingly distant from urban centers and often vulnerable to disasters. This dynamic resulted in\nunplanned and uncontrolled urban growth, the horizontal expansion of urban areas, the proliferation of slums and poorly\nserviced neighborhoods, and substandard housing.\n\n\n[1 World Bank Data, https://data.worldbank.org/country/EC, retrieved January 2023.](https://\n\nMention: \"World Bank Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Country data portal figures retrieved January 2023 for the urbanisation context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003728:20:1", "occurrence_id": "4273d5573cb7c0e28deb7684", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  units through the building of needed\ninfrastructure and the procurement of the required equipment and supplies _,_ (ii) capacity building of staff to\noperate respective units, introducing and upholding standards of quality for effective and patient-centered\nradiotherapy services, and (iii) strengthened governance of oncology services including operations and logistical\nsupport. Introduction of radiotherapy in Gaza would not only result in improved access in Gaza, but also contribute\nto reducing the burden in Augusta Victoria Hospital, which is the main private hospital in East Jerusalem providing\nspecialized cancer treatment services for the Palestinian population in both the West Bank and Gaza.\n\n26. **There is a population-based cancer registry in West Bank and one in Gaza, but the two registries need**\n**to be integrated.** The CanReg5 <sup>33</sup> [^33: http://www.iacr.com.fr/index.php?option=com_content&view=article&id=9:canreg5&catid=68&Itemid=445] —an open-source tool developed by the International Agency for Research on\nCancer to input, store, check, and analyze population-based cancer registry data—is used in West Bank for cancer\ndata registration. In addition to the Palestinian Health Information Center, the tool was installed in three hospitals\n(Al-Watani, AN-Najah, and Beit Jala pediatric cancer department). The PMOH intends to continue modifying the\ntool, as needed, and to expand use of the CanReg5 to three more hospitals in West Bank. Cancer data registration\nin Gaza has been based on an Excel data sheet. The electronic patient medical file has recently been established\nin Gaza, with the cancer patient file as a pilot currently available only for outpatients at one hospital for cancer\npatients in Gaza. Having the population cancer registry based on a single tool in both the West Bank and Gaza\ncould facilitate cancer patient data integration and analysis.\n\n27. **Cardiovascular diseases (18 percent of OMR expenditures) and maternal, neonatal and child health\n\nMention: \"cancer patient data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Integration and analysis enabled by a single registry tool across West Bank and Gaza.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003728:13:0", "occurrence_id": "b7fa0c9e29dfb5f279791472", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nWest Bank and Gaza Health System Efficiency and Resiliency Project (P180263)\n\n\nin Gaza, highlighting the burden in the conflict-impacted area. As of March 5, 2023, 51 percent of the population\nhas been fully vaccinated, <sup>9</sup> [^9: https://corona.ps/] . In 2021, 26 percent of the mortality in West Bank and Gaza was due to COVID-19 <sup>10</sup> [^10: All West Bank and Gaza-specific health data is from Ministry of Health (2022) Health Annual Report Palestine 2021, available on\n_[www.moh.gov.ps](http://www.moh.gov.ps/)_] .\n\n10. **Climate change is going to cause an additional burden on the Palestinian health system.** West Bank and\nGaza will be significantly affected by climate change risks related to increasing temperatures and heatwaves,\nvariability of rainfall, floods, increased aridity, and drought. <sup>11</sup> [^11: The State of Palestine’s First Nationally Determined Contributions (NDCs) “Updated Submission” October 2021.] Climate variability is likely to compound existing\nchallenges such as water scarcity, extreme heat, wildfires, and landslides. The risk of increased intensity and\nfrequency of heat waves is particularly troubling for vulnerable groups and patients with NCDs, the burden of\nwhich has been increasing in West Bank and Gaza. The climate extremes could overwhelm the healthcare system\nin West Bank and Gaza, especially if it coincides with an eruption of conflict. High temperatures can cause severe\nadverse health impacts, especially on vulnerable groups such as outdoor laborers and agricultural workers, the\nelderly, children, and those with cardiovascular diseases. Women are also adversely affected as primary\ncaretakers in this context, since they will need to work harder to secure household livelihoods, leaving them with\nfewer opportunities to develop skills and work in the formal economy.\n\nMention: \"Health Annual Report Palestine 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Attributed source for all West Bank and Gaza health data, including the 26 percent COVID mortality share.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003717:4:1", "occurrence_id": "aa1715bdab7c4404dd00d862", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  studies show that many small farmers (up to 500 ha) are underbanked and do not even have access\nto basic banking instruments. Banks mostly work with clients perceived as less risky (agricultural companies\nwhose farms are larger than 500 ha). Pre-war constraints relate to lack of collateral, credit history, and reliable\nfinancial accounts that would mitigate asymmetric information risks and enable financial institutions to better\nassess their creditworthiness. In the context of the land reform, the lack of long-term loans for small farmers\nrisks having several adverse effects. First, it risks precluding smaller farmers from investing in productivityenhancing technologies, foregoing their potentially large income and welfare gains. Second, it risks resulting in\nexcessive land concentration among wealthy individuals, especially in the second phase of the land reform. As a\nresult of the war in Ukraine, commercial banks have been cautious in intensifying their lending activity to\nenterprises while small farmers’ demand for additional financing has increased. <sup>1</sup> [^1: Preliminary results of a WB survey among 2000 farmers conducted in 2022 found that over 90 percent of farmers with a farm\nsize between 50-500 ha want to borrow while close to 40 percent in that group have never received a loan. Almost all demand\nrelates to working capital loans.] High interest rates as well as\ncollateral requirements remain the main factors deterring businesses from taking new loans. <sup>2</sup> [^2: A recent NBU survey (NBU Business Outlook Survey, Q3) found that more than half of agricultural companies stated that their\nborrowing needs will increase in the near future. High interest rates on loans remain the main factor deterring businesses from\ntaking new loans, as indicated by about half of the survey respondents, and 40 percent of agricultural companies participating\nin the survey. Collateral requirements are another constraint for about a quarter of respondents and one-fifth of agricultural\ncompanies that consider applying for a loan.]\n\n8. **Since the start of the war in Ukraine, state programs have become the main\n\nMention: \"WB survey among 2000 farmers\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Over 90 percent of 50–500 ha farmers want to borrow; nearly 40 percent never received a loan.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003717:4:1", "occurrence_id": "7180367d1dc8396eb0bb5b08", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  studies show that many small farmers (up to 500 ha) are underbanked and do not even have access\nto basic banking instruments. Banks mostly work with clients perceived as less risky (agricultural companies\nwhose farms are larger than 500 ha). Pre-war constraints relate to lack of collateral, credit history, and reliable\nfinancial accounts that would mitigate asymmetric information risks and enable financial institutions to better\nassess their creditworthiness. In the context of the land reform, the lack of long-term loans for small farmers\nrisks having several adverse effects. First, it risks precluding smaller farmers from investing in productivityenhancing technologies, foregoing their potentially large income and welfare gains. Second, it risks resulting in\nexcessive land concentration among wealthy individuals, especially in the second phase of the land reform. As a\nresult of the war in Ukraine, commercial banks have been cautious in intensifying their lending activity to\nenterprises while small farmers’ demand for additional financing has increased. <sup>1</sup> [^1: Preliminary results of a WB survey among 2000 farmers conducted in 2022 found that over 90 percent of farmers with a farm\nsize between 50-500 ha want to borrow while close to 40 percent in that group have never received a loan. Almost all demand\nrelates to working capital loans.] High interest rates as well as\ncollateral requirements remain the main factors deterring businesses from taking new loans. <sup>2</sup> [^2: A recent NBU survey (NBU Business Outlook Survey, Q3) found that more than half of agricultural companies stated that their\nborrowing needs will increase in the near future. High interest rates on loans remain the main factor deterring businesses from\ntaking new loans, as indicated by about half of the survey respondents, and 40 percent of agricultural companies participating\nin the survey. Collateral requirements are another constraint for about a quarter of respondents and one-fifth of agricultural\ncompanies that consider applying for a loan.]\n\n8. **Since the start of the war in Ukraine, state programs have become the main\n\nMention: \"NBU survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"More than half of agricultural companies expect borrowing needs to rise.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003717:4:1", "occurrence_id": "f4b458628265ed4bac89f35f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  studies show that many small farmers (up to 500 ha) are underbanked and do not even have access\nto basic banking instruments. Banks mostly work with clients perceived as less risky (agricultural companies\nwhose farms are larger than 500 ha). Pre-war constraints relate to lack of collateral, credit history, and reliable\nfinancial accounts that would mitigate asymmetric information risks and enable financial institutions to better\nassess their creditworthiness. In the context of the land reform, the lack of long-term loans for small farmers\nrisks having several adverse effects. First, it risks precluding smaller farmers from investing in productivityenhancing technologies, foregoing their potentially large income and welfare gains. Second, it risks resulting in\nexcessive land concentration among wealthy individuals, especially in the second phase of the land reform. As a\nresult of the war in Ukraine, commercial banks have been cautious in intensifying their lending activity to\nenterprises while small farmers’ demand for additional financing has increased. <sup>1</sup> [^1: Preliminary results of a WB survey among 2000 farmers conducted in 2022 found that over 90 percent of farmers with a farm\nsize between 50-500 ha want to borrow while close to 40 percent in that group have never received a loan. Almost all demand\nrelates to working capital loans.] High interest rates as well as\ncollateral requirements remain the main factors deterring businesses from taking new loans. <sup>2</sup> [^2: A recent NBU survey (NBU Business Outlook Survey, Q3) found that more than half of agricultural companies stated that their\nborrowing needs will increase in the near future. High interest rates on loans remain the main factor deterring businesses from\ntaking new loans, as indicated by about half of the survey respondents, and 40 percent of agricultural companies participating\nin the survey. Collateral requirements are another constraint for about a quarter of respondents and one-fifth of agricultural\ncompanies that consider applying for a loan.]\n\n8. **Since the start of the war in Ukraine, state programs have become the main\n\nMention: \"NBU Business Outlook Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The central bank's quarterly business survey named in full with its quarter.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003777:3:2", "occurrence_id": "31300c0ff945f8614265bc16", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: –related\ndisasters and economic shocks. The lack of access to improved drinking water and sanitation, especially in rural,\nindigenous, and low-income urban areas, exacerbates health-related environmental pollution problems and the spread\nof waterborne diseases, which cost an estimated 1 percent of GDP\n\n\n6 Ecuador has 221 autonomous decentralized governments (municipalities) within the 24 regional governments\n7 Projection from the urban prosperity index, applied to 27 Ecuadorian cities - <u>[https://www.planv.com.ec/historias/urbano/desafios-ciudades-](https://www.planv.com.ec/historias/urbano/desafios-ciudades-ecuatorianas-la-ruta-la-prosperidad)</u>\n<u>[ecuatorianas-la-ruta-la-prosperidad](https://www.planv.com.ec/historias/urbano/desafios-ciudades-ecuatorianas-la-ruta-la-prosperidad)</u>\n\n8 From 2000 to 2013, the population of Quito increased annually by 3.8 percent. It is the country’s second most populous city, behind the coastal city\nof Guayaquil.\n9 From 2010 to 2019, the number of households has grown on average 2.1% each year, which is 1.3 times more than Ecuador’s population growth rate\nin the last decade. Taking as a reference the average size of households according to the 2010 Population and Housing Census and the 2019 National\nSurvey of Employment, Unemployment and Underemployment (ENEMDU), it is estimated that in the period between 2010 and 2019, 87,811\nhouseholds were formed each year.\n10 About 88.2% of Ecuadorian households have acceptable access to drinking water, through a public network\n\nMention: \"2010 Population and Housing Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Provides average household size used to estimate annual household formation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003777:3:2", "occurrence_id": "fb966d31a11072aa6b64f08c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: –related\ndisasters and economic shocks. The lack of access to improved drinking water and sanitation, especially in rural,\nindigenous, and low-income urban areas, exacerbates health-related environmental pollution problems and the spread\nof waterborne diseases, which cost an estimated 1 percent of GDP\n\n\n6 Ecuador has 221 autonomous decentralized governments (municipalities) within the 24 regional governments\n7 Projection from the urban prosperity index, applied to 27 Ecuadorian cities - <u>[https://www.planv.com.ec/historias/urbano/desafios-ciudades-](https://www.planv.com.ec/historias/urbano/desafios-ciudades-ecuatorianas-la-ruta-la-prosperidad)</u>\n<u>[ecuatorianas-la-ruta-la-prosperidad](https://www.planv.com.ec/historias/urbano/desafios-ciudades-ecuatorianas-la-ruta-la-prosperidad)</u>\n\n8 From 2000 to 2013, the population of Quito increased annually by 3.8 percent. It is the country’s second most populous city, behind the coastal city\nof Guayaquil.\n9 From 2010 to 2019, the number of households has grown on average 2.1% each year, which is 1.3 times more than Ecuador’s population growth rate\nin the last decade. Taking as a reference the average size of households according to the 2010 Population and Housing Census and the 2019 National\nSurvey of Employment, Unemployment and Underemployment (ENEMDU), it is estimated that in the period between 2010 and 2019, 87,811\nhouseholds were formed each year.\n10 About 88.2% of Ecuadorian households have acceptable access to drinking water, through a public network\n\nMention: \"2019 National\nSurvey of Employment, Unemployment and Underemployment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Combined with census size to estimate 87,811 households formed yearly.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003797:2:1", "occurrence_id": "5cb8dd8a5ead5fe69e44f160", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  states. While poverty in the State is lower than at\nnational levels, inequality remains high. In 2021, approximately 25 percent of residents lived under the US$5.5 poverty\nline, and approximately 7.5 percent of the state population lived under the US$1.9 extreme poverty line.\n\n\n**3.** **Brazil faces significant climate change impacts compounded by deforestation and land degradation.** Climate change is\naltering temperature and rainfall patterns in the country, resulting in reduced water availability and extended droughts,\nand could push another 800,000 to 3 million Brazilians into extreme poverty as soon as 2030. Continued deforestation in\nthe Amazon and Cerrado biomes remains a matter of urgency, as it has increased land-use emissions - the main source of\ngreenhouse (GHG) emissions in Brazil. Strengthening resilience to climate change and protection of natural assets,\nespecially the fragile ecosystems of the Amazon and Cerrado, is essential for environmentally sustainable economic\ngrowth.\n\n\n**4.** **More green, inclusive growth will be critical for Brazil’s post-pandemic recovery, a paradigm shift that many subnational**\n**governments are aiming for.** A few State Governments have pledged to the _Race to Zero Global Campaign_ by committing\nto decarbonize and achieve net zero CO2 emissions by 2050. Among them, the State Government of Espirito Santo issued\na decree <sup>1</sup> in August 2021 announcing its plans to approve a State Climate Change Plan and a Strategic Plan for Emergency\nActions to respond to extreme climatic events, as well as to update its greenhouse gas (GHG) inventory <sup>2</sup> [^2: The breakdown of emissions in Espirito Santo’s latest GHG inventory (published in 2014 for base year 2006) was: Industrial\nProcesses and Product Uses (40%), Energy (30%), Agriculture, Forestry and Other Land Use (23%) and Waste (7%).] within a 12-month\nperiod.\n\nMention: \"greenhouse gas (GHG) inventory\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"State inventory to be updated within twelve months under the new decree.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003797:2:1", "occurrence_id": "209112453d2274754ebbac14", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  states. While poverty in the State is lower than at\nnational levels, inequality remains high. In 2021, approximately 25 percent of residents lived under the US$5.5 poverty\nline, and approximately 7.5 percent of the state population lived under the US$1.9 extreme poverty line.\n\n\n**3.** **Brazil faces significant climate change impacts compounded by deforestation and land degradation.** Climate change is\naltering temperature and rainfall patterns in the country, resulting in reduced water availability and extended droughts,\nand could push another 800,000 to 3 million Brazilians into extreme poverty as soon as 2030. Continued deforestation in\nthe Amazon and Cerrado biomes remains a matter of urgency, as it has increased land-use emissions - the main source of\ngreenhouse (GHG) emissions in Brazil. Strengthening resilience to climate change and protection of natural assets,\nespecially the fragile ecosystems of the Amazon and Cerrado, is essential for environmentally sustainable economic\ngrowth.\n\n\n**4.** **More green, inclusive growth will be critical for Brazil’s post-pandemic recovery, a paradigm shift that many subnational**\n**governments are aiming for.** A few State Governments have pledged to the _Race to Zero Global Campaign_ by committing\nto decarbonize and achieve net zero CO2 emissions by 2050. Among them, the State Government of Espirito Santo issued\na decree <sup>1</sup> in August 2021 announcing its plans to approve a State Climate Change Plan and a Strategic Plan for Emergency\nActions to respond to extreme climatic events, as well as to update its greenhouse gas (GHG) inventory <sup>2</sup> [^2: The breakdown of emissions in Espirito Santo’s latest GHG inventory (published in 2014 for base year 2006) was: Industrial\nProcesses and Product Uses (40%), Energy (30%), Agriculture, Forestry and Other Land Use (23%) and Waste (7%).] within a 12-month\nperiod.\n\nMention: \"GHG inventory\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Latest inventory gives 40 percent industrial processes, 30 percent energy, 23 percent land use, 7 percent waste.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003812:39:4", "occurrence_id": "8ee60a45177f54916f80d832", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: لت التي تم إنشاؤها وفقا لمعايير التصميم المحدثة والقادرة على الصمود في وجه تغير المناخ من أجل سلمة الن )ساء (العدد**|\n|وصف|يوضح المؤشر عدد محطات الحافلت التي سيتم تصميمها وإنشاؤها وفقا لمعايير التصميم المحدثة والقادرة على الصمود في وجه تغير المناخ التي تم<br> وضعها من خلل البرنامج|\n|التواتر | تكرار | معدل<br> التواتر <br>|مرتين|\n|مصدر البيانات|تقارير<br>هيئة<br> تنظيم النقل البري|\n|منهجية جمع البيانات|وستقوم لجنة استعراض المحركات وتكنولوجيا المعلومات بالبلغ عن البيانات الولية عن عدد محطات<br>الحافلت المصممة وفقا للمعايير المحدثة والقادرة<br> على الصمود في وجه تغير المناخ. وستقدم<br>هيئة تنظيم النقل البري<br> تقرير مراجعة بناء محطات الحافلت  .وفقا لمعايير التصميم وسيستخدم هذا التقرير<br> لتقي\n\nMention: \"البيانات الولية\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Primary data reported on bus stations built to updated climate-resilient design standards.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003805:3:2", "occurrence_id": "ea5fa71cabb118354030c52a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Demographic and Health Survey (DHS), 2013-14.\n8 The ND-GAIN Country Index summarizes a country's vulnerability to climate change and readiness to improve resilience.\n9 World Bank (2016). Managing a valuable resource: Policy notes on increasing the sustainability of the DRC’s Forests. Review of the Forest Sector\nof the DRC (P152956).\n10 Floods in December 2022 killed 169 persons in Kinshasa and washed away a section of the road between Kinshasa and the port of Matadi,\ntemporarily in interrupting traffic along the key supply road for Kinshasa (https://reliefweb.int/report/democratic-republic-congo/democraticrepublic-congo-flash-update-3-floods-caused-heavy-rains-kinshasa-31-december-2022).\n11 https://climateknowledgeportal.worldbank.org/country/congo-democratic-republic/vulnerability\n12 Van Bronkhorst, Bernice and Franck Bousquet. Tackling the intersecting challenges of climate change, fragility and conflict. January 27, 2021.\nWorld Bank. Available at _: https://blogs.worldbank.org/dev4peace/tackling-intersecting-challenges-climate-change-fragility-and-conflict._\n13 Preliminary finding of the ongoing CCDR suggest that digital does not feature heavily in DRC climate strategy, nor does climate change feature in\nDRC’s digital strategy. However, the DRC’s NDC specifically mentions “implementation of early warning systems”, “improved access to ICT\ncommunication”, and “climate modeling to better predict future impacts”.\n14 Begazo, Tania, Moussa P. Blimpo, and Mark A. Dutz. 2023. Digital Africa: Technological Transformation for Jobs. Washington, DC: World Bank.\n15 https://presidence.cd/services/1\n\nMention: \"Demographic and Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"2013-14 round cited as a source for the population and health indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003862:40:3", "occurrence_id": "a0353e3e697f3850f69bfc6c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  birth certificates, citizen judiciary records, residency<br>certificates, and so on).|\n|Frequency|Annual|\n|Data Source|ANSIE/Ministry in charge of Digital Economy and Innovation (MENI)/Line Ministries<br>|\n|Methodology for<br>Data Collection|<br> Activity report prepared by the ANSIE. The ANSIE will share the report with the PF RMU, including the evidence of e-<br>services automated and accessible to citizens.<br>|\n\n\n\nPage 29\n\nMention: \"birth certificates\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Civil registration documents whose digitisation is counted in the indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003862:40:3", "occurrence_id": "c1dd45371bb09a1dd162e966", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  birth certificates, citizen judiciary records, residency<br>certificates, and so on).|\n|Frequency|Annual|\n|Data Source|ANSIE/Ministry in charge of Digital Economy and Innovation (MENI)/Line Ministries<br>|\n|Methodology for<br>Data Collection|<br> Activity report prepared by the ANSIE. The ANSIE will share the report with the PF RMU, including the evidence of e-<br>services automated and accessible to citizens.<br>|\n\n\n\nPage 29\n\nMention: \"citizen judiciary records\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Judicial records listed among the administrative documents being made available online.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003728:11:1", "occurrence_id": "9d40095e7cd3d92e6265bd37", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n100,000 live births is below most comparator countries; however, it has increased substantially since 2017, likely\ndue to COVID-19, when it was at 6/100,000 live births. Seventy-five percent of the disease burden is attributable\nto NCDs, mainly cancer and cardiovascular conditions. Cancer incidence is high, at 108 per 100,000 population in\n2021, with 52.6 percent of cases registered among women and 47.4 percent among men. The most common\ncancers in 2021 were breast cancer, colorectal cancer, and lung cancer. In 2021, 32 percent of all deaths excluding\nCOVID-19 were due to cardiovascular diseases, 16 percent were due to cancers, and 15 percent were due to\ndiabetes <sup>4</sup> [^4: All West Bank and Gaza-specific health data is from Ministry of Health (2022) Health Annual Report Palestine 2021, available on\n_[www.moh.gov.ps](http://www.moh.gov.ps/)_] . About a third of population aged 18 to 69 years is exposed to three or more behavioral or biological\nrisk factors contributing to NCD development. <sup>5</sup> [^5: Palestine STEPS Survey 2022. Fact Sheet] The 2022 World Health Organization (WHO) STEPwise approach\nto NCD risk factor surveillance (STEPS) survey results indicates that prevalence of diabetes mellitus increases with\nage, and is higher in females, reaching 18.6 percent in age 45-59 (21.1 percent of females and 16 percent of males)\nand 29.6 percent in age 60-69 (32.5 percent of females and 26.7 percent of males). Cardiovascular disease (CVD)\nrisk factors such as physical inactivity and overweight/obesity are also higher among females.\n\n8. **Access to reliable chronic disease care, particularly for cancers, is one of the most substantial drivers of**\n**the disease burden in Gaza.** Given the restrictions on access\n\nMention: \"Health Annual Report Palestine 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source for cause-of-death shares including 16 percent from cancers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003728:11:1", "occurrence_id": "f8e28103336c28917adac4dc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n100,000 live births is below most comparator countries; however, it has increased substantially since 2017, likely\ndue to COVID-19, when it was at 6/100,000 live births. Seventy-five percent of the disease burden is attributable\nto NCDs, mainly cancer and cardiovascular conditions. Cancer incidence is high, at 108 per 100,000 population in\n2021, with 52.6 percent of cases registered among women and 47.4 percent among men. The most common\ncancers in 2021 were breast cancer, colorectal cancer, and lung cancer. In 2021, 32 percent of all deaths excluding\nCOVID-19 were due to cardiovascular diseases, 16 percent were due to cancers, and 15 percent were due to\ndiabetes <sup>4</sup> [^4: All West Bank and Gaza-specific health data is from Ministry of Health (2022) Health Annual Report Palestine 2021, available on\n_[www.moh.gov.ps](http://www.moh.gov.ps/)_] . About a third of population aged 18 to 69 years is exposed to three or more behavioral or biological\nrisk factors contributing to NCD development. <sup>5</sup> [^5: Palestine STEPS Survey 2022. Fact Sheet] The 2022 World Health Organization (WHO) STEPwise approach\nto NCD risk factor surveillance (STEPS) survey results indicates that prevalence of diabetes mellitus increases with\nage, and is higher in females, reaching 18.6 percent in age 45-59 (21.1 percent of females and 16 percent of males)\nand 29.6 percent in age 60-69 (32.5 percent of females and 26.7 percent of males). Cardiovascular disease (CVD)\nrisk factors such as physical inactivity and overweight/obesity are also higher among females.\n\n8. **Access to reliable chronic disease care, particularly for cancers, is one of the most substantial drivers of**\n**the disease burden in Gaza.** Given the restrictions on access\n\nMention: \"Palestine STEPS Survey 2022\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows about a third of adults aged 18–69 have three or more NCD risk factors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003728:11:1", "occurrence_id": "07812b81bb9419e659ca8a2c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n100,000 live births is below most comparator countries; however, it has increased substantially since 2017, likely\ndue to COVID-19, when it was at 6/100,000 live births. Seventy-five percent of the disease burden is attributable\nto NCDs, mainly cancer and cardiovascular conditions. Cancer incidence is high, at 108 per 100,000 population in\n2021, with 52.6 percent of cases registered among women and 47.4 percent among men. The most common\ncancers in 2021 were breast cancer, colorectal cancer, and lung cancer. In 2021, 32 percent of all deaths excluding\nCOVID-19 were due to cardiovascular diseases, 16 percent were due to cancers, and 15 percent were due to\ndiabetes <sup>4</sup> [^4: All West Bank and Gaza-specific health data is from Ministry of Health (2022) Health Annual Report Palestine 2021, available on\n_[www.moh.gov.ps](http://www.moh.gov.ps/)_] . About a third of population aged 18 to 69 years is exposed to three or more behavioral or biological\nrisk factors contributing to NCD development. <sup>5</sup> [^5: Palestine STEPS Survey 2022. Fact Sheet] The 2022 World Health Organization (WHO) STEPwise approach\nto NCD risk factor surveillance (STEPS) survey results indicates that prevalence of diabetes mellitus increases with\nage, and is higher in females, reaching 18.6 percent in age 45-59 (21.1 percent of females and 16 percent of males)\nand 29.6 percent in age 60-69 (32.5 percent of females and 26.7 percent of males). Cardiovascular disease (CVD)\nrisk factors such as physical inactivity and overweight/obesity are also higher among females.\n\n8. **Access to reliable chronic disease care, particularly for cancers, is one of the most substantial drivers of**\n**the disease burden in Gaza.** Given the restrictions on access\n\nMention: \"STEPwise approach\nto NCD risk factor surveillance\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"WHO framework whose results show diabetes rising with age and higher in females.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003874:26:2", "occurrence_id": "b53f611ecbf01d915b477fc0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Monitoring and Evaluation Arrangements**\n\n\n63. **The two PIUs will be responsible for M&E system** . They will have M&E staff, monitor the Project indicators, and\nreport on Project results, which the Bank will review as part of its Project monitoring. Flexible tools for monitoring and\nevaluation will be deployed to account for the war situation and will be detailed in the POM.\n\n\n64. **Data will be collected using already existing and new channels** . Under the existing credit program 5-7-9 the PFIs\nreport to BDF on the number of beneficiaries, their size (i.e., micro, small, medium, and large), amount of loans, the\namount of interest rate compensation paid, and other information by subproject. The Project will carry out impact\nevaluation and beneficiary satisfaction surveys. Additional information for the Project will be added to the existing M&E\nsystem of BDF. The MAPF will collect data through the information about farmers in SAR as well as additional desk audits,\non-site visits, surveys, satellite data and shapefiles of the parcel boundaries.\n\n\n**C. Sustainability**\n\n\n65. **The Project will contribute to the needs for recovery of the agriculture sector** . GoU’s National Recovery Plan\n\n\n65 The Order of the CMU No. 1273-R from December 11, 2019, and the Order of MOF No. 5 from January 11, 2020.\n\n\nPage 22 of 51\n\nMention: \"satellite data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Remote sensing used with desk audits and surveys to verify farmer parcels.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003874:26:2", "occurrence_id": "621110654d33c80f80488475", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Monitoring and Evaluation Arrangements**\n\n\n63. **The two PIUs will be responsible for M&E system** . They will have M&E staff, monitor the Project indicators, and\nreport on Project results, which the Bank will review as part of its Project monitoring. Flexible tools for monitoring and\nevaluation will be deployed to account for the war situation and will be detailed in the POM.\n\n\n64. **Data will be collected using already existing and new channels** . Under the existing credit program 5-7-9 the PFIs\nreport to BDF on the number of beneficiaries, their size (i.e., micro, small, medium, and large), amount of loans, the\namount of interest rate compensation paid, and other information by subproject. The Project will carry out impact\nevaluation and beneficiary satisfaction surveys. Additional information for the Project will be added to the existing M&E\nsystem of BDF. The MAPF will collect data through the information about farmers in SAR as well as additional desk audits,\non-site visits, surveys, satellite data and shapefiles of the parcel boundaries.\n\n\n**C. Sustainability**\n\n\n65. **The Project will contribute to the needs for recovery of the agriculture sector** . GoU’s National Recovery Plan\n\n\n65 The Order of the CMU No. 1273-R from December 11, 2019, and the Order of MOF No. 5 from January 11, 2020.\n\n\nPage 22 of 51\n\nMention: \"shapefiles of the parcel boundaries\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Geospatial parcel boundaries recorded in the farm registry to evidence guarantee coverage.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003844:28:0", "occurrence_id": "de137139639f55838d19195b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRural Access and Agricultural Marketing Project - Scale Up (P180640)\n\n\n**IV.** **PROJECT APPRAISAL SUMMARY**\n\n\n**A. Technical, Economic and Financial Analysis**\n\n\n**69.** **An economic analysis was carried out for the project based on traffic data from sample roads from the previous**\n**RAAMP phases, and it fully justifies the Scale-up program.** The sample used includes 25 rural roads in 6 states totaling\n412.5 km, mostly consisting of unpaved roads in poor condition with average annual daily traffic of 57 vehicles per day in\n2022. The average speed on rehabilitated roads is expected to increase from a current average of 26 km/hr to around 50\nkm/hr after project completion. In addition, road works will improve resilience of these roads to climate-related events\nsuch as heavy rain. The economic analysis and CO2 emissions results of the sample roads were pro-rated to cover 6,500\nkm of roads, of which 3,000 km will be rehabilitated/upgraded under Subcomponent A.1 and 3,500 km will receive periodic\nmaintenance under Subcomponent B.1.\n\n**70.** **The Road Economic Decision (RED) Model was used to undertake economic analysis.** RED computes annual road\nagency and user costs for each project alternative over the evaluation period, comparing the proposed project investment\nprogram with the conditions without such investment. The quantities of resources consumed, and vehicle speeds are\ncalculated first and then multiplied by unit costs to obtain total vehicle operating costs, travel time costs and CO2\nemissions costs. Project road works will result in reduced travel time and vehicle operating costs, thus reducing travel\ncosts. Road safety benefits from the project will also generate additional economic returns. Nevertheless, considering the\ndifficulty of getting representative data from road samples before the actual road selection under\n\nMention: \"traffic data from sample roads\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Counts from 25 rural roads across 6 states underpin the economic justification for the scale-up.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003844:12:2", "occurrence_id": "f91b29dfe8ed8913efc0ccb9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **\n**agriculture output in Nigeria and exacerbated food insecurity, especially in more isolated rural areas.** According to the\nWorld Food Organization (WFO), over 26.5 million people across the country are projected to face acute hunger by August\n2024, relative to 18.6 million people at the end of 2023 <sup>9</sup>, most of them are vulnerable women and children.\n\n\n\n**Figure 1: Overlap between conflict and poverty in Nigeria**\n\n\n\n**Source:** World Bank, Nigeria Poverty assessment 2022\n\n\n\n5 ND GAIN Index, Consulted on 19th November 2024. URL: https://gain.nd.edu/our-work/country-index/rankings/\n[6 Nigeria’s Nationally Determined Contribution; July 2021. Available at the URL.](https://unfccc.int/sites/default/files/NDC/2022-06/NDC_File%20Amended%20_11222.pdf)\n\n7 Climate Risk Country Profile – Nigeria. World Bank Group. URL: https://climateknowledgeportal.worldbank.org/sites/default/files/2021-07/15918-WB_Nigeriaper\ncent20Countryper cent20Profile-WEB.pdf\n\n8 https://www.unhcr.org/ng/idps\n\n9 https://www.wfp.org/countries/nigeria\n\n\nPage 2\n\nMention: \"Nigeria Poverty assessment 2022\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the figure showing overlap between conflict and poverty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003728:11:2", "occurrence_id": "fcb3494222dbcbcacf5db2b0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the restrictions on access and movement and limited health system capacity,\nparticularly for cancers, Gaza residents need to seek treatment outside the territory, and face substantial delays\n\n\n1 Bouquet B, Muhareb R, Smith R. “It’s Not Whatever, Because This Is Where the Problem Starts’: Racialized Strategies of Elimination as\nDeterminants of Health in Palestine.” Health and Human Rights Journal, Volume 24/2. _[https://www.hhrjournal.org/2022/12/its-not-](https://www.hhrjournal.org/2022/12/its-not-whatever-because-this-is-where-the-problem-starts-racialized-strategies-of-elimination-as-determinants-of-health-in-palestine/)_\n_[whatever-because-this-is-where-the-problem-starts-racialized-strategies-of-elimination-as-determinants-of-health-in-palestine/](https://www.hhrjournal.org/2022/12/its-not-whatever-because-this-is-where-the-problem-starts-racialized-strategies-of-elimination-as-determinants-of-health-in-palestine/)_\n2 World Health Organization, Surveillance System for Attacks on Health Care (SSA). _[https://extranet.who.int/ssa/Index.aspx](https://extranet.who.int/ssa/Index.aspx)_ . Retrieved on\nJanuary 30, 2023.\n3 According to the Government of Israel, these restrictions are for the purpose of enhancing the security of Israel and Israeli citizens.\n4 All West Bank and Gaza-specific health data is from Ministry of Health (2022\n\nMention: \"West Bank and Gaza-specific health data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Blanket attribution of all territorial health data to the ministry's annual report.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003839:3:2", "occurrence_id": "70ea9cf55e628c1e37dc9785", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  years due to NCDs\n\n\n9 Macroeconomic Developments in Serbia. National Bank of Serbia, March 2023. https://www.nbs.rs/export/sites/NBS_site/documentseng/finansijska-stabilnost/presentation_invest.pdf\n10 Consumer price indices by COICOP. Statistical Office of the Republic of Serbia, February 2023. https://www.stat.gov.rs/enus/oblasti/cene/potrosacke-cene/\n11 2021 value. Source: World Bank, World Development Indicators.\n12 The 2022 Census of Population, Households and Dwellings. Statistical Office of the Republic of Serbia, 2022. https://popis2022.stat.gov.rs/en-US\n13 Peers and aspirational peers (comparators) for Serbia include: (i) other countries in the Western Balkans (WB5); (ii) countries in the European\nUnion with or without the United Kingdom (EU28 or EU27), especially the 13 New Member States (NMS13) – Bulgaria, Croatia, Cyprus, Czech Republic,\nEstonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovak Republic and Slovenia; and (iii) Seven Small Transition Economies of Europe\n(STEE7): Bulgaria, Croatia, Estonia, Latvia, Lithuania, Slovak Republic and Slovenia. Data may not be available for all comparators for certain indicators.\n14 The World Bank (2023) Serbia – Toward a More Effective, Efficient, Equitable and Resilient Health System.\n<u><mark>[https://documents1.worldbank.org/en/publication/documents-reports/documentdetail/099171502282316990](https://documents1.worldbank.org/en/publication/documents-reports/documentdetail/099171502282316990)</mark><\n\nMention: \"Consumer price indices by COICOP\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Official expenditure-classification price index cited with URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003839:3:2", "occurrence_id": "5a4329ab7f378d18bbf243c9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  years due to NCDs\n\n\n9 Macroeconomic Developments in Serbia. National Bank of Serbia, March 2023. https://www.nbs.rs/export/sites/NBS_site/documentseng/finansijska-stabilnost/presentation_invest.pdf\n10 Consumer price indices by COICOP. Statistical Office of the Republic of Serbia, February 2023. https://www.stat.gov.rs/enus/oblasti/cene/potrosacke-cene/\n11 2021 value. Source: World Bank, World Development Indicators.\n12 The 2022 Census of Population, Households and Dwellings. Statistical Office of the Republic of Serbia, 2022. https://popis2022.stat.gov.rs/en-US\n13 Peers and aspirational peers (comparators) for Serbia include: (i) other countries in the Western Balkans (WB5); (ii) countries in the European\nUnion with or without the United Kingdom (EU28 or EU27), especially the 13 New Member States (NMS13) – Bulgaria, Croatia, Cyprus, Czech Republic,\nEstonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovak Republic and Slovenia; and (iii) Seven Small Transition Economies of Europe\n(STEE7): Bulgaria, Croatia, Estonia, Latvia, Lithuania, Slovak Republic and Slovenia. Data may not be available for all comparators for certain indicators.\n14 The World Bank (2023) Serbia – Toward a More Effective, Efficient, Equitable and Resilient Health System.\n<u><mark>[https://documents1.worldbank.org/en/publication/documents-reports/documentdetail/099171502282316990](https://documents1.worldbank.org/en/publication/documents-reports/documentdetail/099171502282316990)</mark><\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the 2021 comparative value.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003839:3:2", "occurrence_id": "d400161372eaf08287ac7390", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  years due to NCDs\n\n\n9 Macroeconomic Developments in Serbia. National Bank of Serbia, March 2023. https://www.nbs.rs/export/sites/NBS_site/documentseng/finansijska-stabilnost/presentation_invest.pdf\n10 Consumer price indices by COICOP. Statistical Office of the Republic of Serbia, February 2023. https://www.stat.gov.rs/enus/oblasti/cene/potrosacke-cene/\n11 2021 value. Source: World Bank, World Development Indicators.\n12 The 2022 Census of Population, Households and Dwellings. Statistical Office of the Republic of Serbia, 2022. https://popis2022.stat.gov.rs/en-US\n13 Peers and aspirational peers (comparators) for Serbia include: (i) other countries in the Western Balkans (WB5); (ii) countries in the European\nUnion with or without the United Kingdom (EU28 or EU27), especially the 13 New Member States (NMS13) – Bulgaria, Croatia, Cyprus, Czech Republic,\nEstonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovak Republic and Slovenia; and (iii) Seven Small Transition Economies of Europe\n(STEE7): Bulgaria, Croatia, Estonia, Latvia, Lithuania, Slovak Republic and Slovenia. Data may not be available for all comparators for certain indicators.\n14 The World Bank (2023) Serbia – Toward a More Effective, Efficient, Equitable and Resilient Health System.\n<u><mark>[https://documents1.worldbank.org/en/publication/documents-reports/documentdetail/099171502282316990](https://documents1.worldbank.org/en/publication/documents-reports/documentdetail/099171502282316990)</mark><\n\nMention: \"2022 Census of Population, Households and Dwellings\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census cited with its dedicated portal for demographic data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003874:21:1", "occurrence_id": "528323e4bcd437a28f2d247f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  results will be done\nby MAPF by assessing crop production on the parcels of selected beneficiaries using the satellite crop data. The Project\nwill not finance any procurement under this Component. The implementation arrangements for this grant such as flow\nof funds, eligible expenditures, <sup>57</sup> [^57: Activities that use or risk of polluting waters of international waterways will not be eligible for financing.] selection criteria, amount of funds per beneficiary, and other procedures will be\ndetailed in the POM, the approval of which will be a disbursement condition.\n\n\n45. **The SAR will host a repository of information and knowledge materials on climate-smart agriculture (CSA)** . This\nCSA knowledge database is an integral part of the SAR support package to small-sized farms. It will include manuals with\ninformation suitable for and accessible by farmers developed by Ukrainian research and academic institutions as well as\ndonor projects. Famers that receive project support will be informed about the database and encouraged to use it to\nintroduce CSA technologies and practices. The database will be updated with new information as it becomes available.\nThe Project will partner with FAO, USAID, EU, German-Ukrainian Cooperation on Organic Agriculture project, other\ndonors, and input and technology suppliers to provide as much relevant CSA information as possible through SAR.\n\n\n46. **Component 3: Project management (US$0.8 million grant funded; estimated funding need of US$0.8 million**\n**fully funded)** . This component will support project management, coordination, M&E, and implementation of\nenvironmental and social measures under the WB Environmental and Social Framework (ESF). Two project\nimplementation units (PIU) will be established to manage implementation, including fiduciary aspects; knowledge\nmanagement/communication; grievance redress mechanism (GRM); citizen engagement; and monitoring the\nimplementation of ESF related issues. One PIU will be hosted by BDF, covering the activities under Components 1 and 3.\nAnother PIU will be established by MAPF\n\nMention: \"satellite crop data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Used to assess crop production on beneficiaries' parcels for results verification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003839:4:1", "occurrence_id": "87525349c7d7c78c96d8cd0a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  better prognosis, cancer screening is low in Serbia. In 2019,**\n**r** oughly 30 percent of women aged 50-69 were screened for breast cancer, less than half the national target of 75\npercent. More importantly, the progress has not been equally distributed as people from the lowest income and least\neducated access screening twice less frequently than the most educated. Only 10.9 percent of adults aged 50 to 74\nwere screened for colorectal cancer in the same year. <sup>17</sup> [^17: Serbia Health Survey 2019 (2021). Belgrade: Statistical Office of the Republic of Serbia, Ministry of Health Republic of Serbia, and Institute of\n[public health of Serbia “Dr Milan Jovanovic Batut.” Available at: https://www.batut.org.rs/download/publikacije/ZdravljeStanovnistva2019.pdf.](https://www.batut.org.rs/download/publikacije/ZdravljeStanovnistva2019.pdf)]\n\n\n13. **Utilization of preventive services in the public sector for NCDs in Serbia is scarce**, especially at the primary health\ncare (PHC) level. Similar to cancer, screening for diabetes and hypertension is fundamental to reduce morbidity and\npremature mortality. However, results from a phone survey conducted by the World Bank in 2021 demonstrated\nthat only two out of ten Serbians reported using screening services for cancer, diabetes, blood pressure, and heart\nand liver disease in the public health care sector.\n\n\n14. **Serbia lacks a well-functioning system of planning, organizing and coordinating care for patients with chronic**\n**conditions and ensuring a smooth transition between different treatments and stages of care** . In particular, case\nmanagement by PHC is highly ineffective. In 2021, among all patients of type 2 diabetes, only eight percent\nunderwent testing for glycolyzing hemoglobin (HbA1C) and 15 percent for low-density lipoprotein (LDL) cholesterol\nin the preceding year by their chosen PHC doctor. For foot exam,\n\nMention: \"Serbia Health Survey 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows only 10.9 percent of adults 50–74 screened for colorectal cancer.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003839:4:1", "occurrence_id": "6a2f3ef60d056b6cea4a711b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  better prognosis, cancer screening is low in Serbia. In 2019,**\n**r** oughly 30 percent of women aged 50-69 were screened for breast cancer, less than half the national target of 75\npercent. More importantly, the progress has not been equally distributed as people from the lowest income and least\neducated access screening twice less frequently than the most educated. Only 10.9 percent of adults aged 50 to 74\nwere screened for colorectal cancer in the same year. <sup>17</sup> [^17: Serbia Health Survey 2019 (2021). Belgrade: Statistical Office of the Republic of Serbia, Ministry of Health Republic of Serbia, and Institute of\n[public health of Serbia “Dr Milan Jovanovic Batut.” Available at: https://www.batut.org.rs/download/publikacije/ZdravljeStanovnistva2019.pdf.](https://www.batut.org.rs/download/publikacije/ZdravljeStanovnistva2019.pdf)]\n\n\n13. **Utilization of preventive services in the public sector for NCDs in Serbia is scarce**, especially at the primary health\ncare (PHC) level. Similar to cancer, screening for diabetes and hypertension is fundamental to reduce morbidity and\npremature mortality. However, results from a phone survey conducted by the World Bank in 2021 demonstrated\nthat only two out of ten Serbians reported using screening services for cancer, diabetes, blood pressure, and heart\nand liver disease in the public health care sector.\n\n\n14. **Serbia lacks a well-functioning system of planning, organizing and coordinating care for patients with chronic**\n**conditions and ensuring a smooth transition between different treatments and stages of care** . In particular, case\nmanagement by PHC is highly ineffective. In 2021, among all patients of type 2 diabetes, only eight percent\nunderwent testing for glycolyzing hemoglobin (HbA1C) and 15 percent for low-density lipoprotein (LDL) cholesterol\nin the preceding year by their chosen PHC doctor. For foot exam,\n\nMention: \"phone survey conducted by the World Bank\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Only two in ten reported using public screening services.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003839:2:1", "occurrence_id": "bea5e398dadf0529624773cf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  <sup>5</sup> [^5: Basic Macroeconomic Indicators. Ministry of Finance of the Republic of Serbia, March 2023. https://www.mfin.gov.rs/en/documents22/macroeconomic-and-fiscal-data2]\n\n\n3. **Although Serbia managed to sustain previous progress in reducing poverty through the pandemic, poverty and**\n**inequality remain significantly higher than in comparator countries.** Almost one-third (30.7 percent) of Serbia’s\npopulation lives on an income between US$6.85 to US$13.7 per day (in 2017 PPP) and is vulnerable to falling into\npoverty in the event of a shock. <sup>6</sup> [^6: World Bank staff calculations.] Moreover, inequality in Serbia, though declining, remains high. The country’s Gini\ncoefficient of income dropped from 39.5 in 2013 to 34.5 in 2019, <sup>7</sup> [^7: 2021 value. Source: World Bank, World Development Indicators.] which still places Serbia among the three countries\nwith the highest Gini coefficient when compared to Central and Eastern Europe and the Baltics.\n\n\n4. **Vulnerability to the impacts of climate change pose significant challenges to Serbia’s population and economy.**\nAccording to official statistics, extreme weather events in recent years have cost the country more than €5 billion,\nwith droughts and extreme temperatures accounting for 70 percent of the losses. The number of people affected by\nflooding is estimated at about 200,000 on average per year, at an estimated cost of US$1 billion in GDP. <sup>8</sup> [^8: <mark>Serbia - Systematic Country Diagnostic Update. World Bank Group,</mark>\n<mark>2020. https://documents1.worldbank.org/curated/en/941541588367005122/pdf/Serbia-Systematic-Country-Diagnostic-Update.pdf</mark>] Significant\nadditional\n\nMention: \"Basic Macroeconomic Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ministry macro series cited with URL for the fiscal and growth context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003839:2:1", "occurrence_id": "33eb042270af753c43ee7c12", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  <sup>5</sup> [^5: Basic Macroeconomic Indicators. Ministry of Finance of the Republic of Serbia, March 2023. https://www.mfin.gov.rs/en/documents22/macroeconomic-and-fiscal-data2]\n\n\n3. **Although Serbia managed to sustain previous progress in reducing poverty through the pandemic, poverty and**\n**inequality remain significantly higher than in comparator countries.** Almost one-third (30.7 percent) of Serbia’s\npopulation lives on an income between US$6.85 to US$13.7 per day (in 2017 PPP) and is vulnerable to falling into\npoverty in the event of a shock. <sup>6</sup> [^6: World Bank staff calculations.] Moreover, inequality in Serbia, though declining, remains high. The country’s Gini\ncoefficient of income dropped from 39.5 in 2013 to 34.5 in 2019, <sup>7</sup> [^7: 2021 value. Source: World Bank, World Development Indicators.] which still places Serbia among the three countries\nwith the highest Gini coefficient when compared to Central and Eastern Europe and the Baltics.\n\n\n4. **Vulnerability to the impacts of climate change pose significant challenges to Serbia’s population and economy.**\nAccording to official statistics, extreme weather events in recent years have cost the country more than €5 billion,\nwith droughts and extreme temperatures accounting for 70 percent of the losses. The number of people affected by\nflooding is estimated at about 200,000 on average per year, at an estimated cost of US$1 billion in GDP. <sup>8</sup> [^8: <mark>Serbia - Systematic Country Diagnostic Update. World Bank Group,</mark>\n<mark>2020. https://documents1.worldbank.org/curated/en/941541588367005122/pdf/Serbia-Systematic-Country-Diagnostic-Update.pdf</mark>] Significant\nadditional\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Source of the Gini coefficient used for the regional comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003880:3:0", "occurrence_id": "010630b451a3835c60b7ade0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTurkiye Emissions Reduction Project(P180762)\n\n\n\n\n\n\n\n\n\n\n\n\n\nSource: World Development Indicators\n\n3. **However, Türkiye’s economic growth has been accompanied by environmental degradation, including increasing**\n**emissions of air pollutants and greenhouse gases.** Emissions of both air pollutants and greenhouse gases (GHGs) have\nadverse impacts on environment, climate, productivity, health, and resilience. GHG emissions, excluding the land use,\nland-use change, and forestry (LULUCF) sector, increased by 157% from 1990 to 2021 reaching 564 Mt CO2-equivalent <sup>4</sup> [^4: Turkish Statistical Institute, 2023] .\nEmissions of key air pollutants have also significantly increased in the last decades, including sulfur dioxide (SO2) by 60%,\nnitrogen oxides (NOx) by 286%, ammonia (NH3) by 51%, non-methane volatile organic compounds (NMVOC) by 30%,\nparticulate matter (PM10) by 10%, and fine particulate matter (PM2.5) by 472% (all trends 1990 to 2021) <sup>5</sup> [^5: Annual Türkiye’s Informative Inventory Report [IIR] to UNECE 2023 Annex 1] . Air pollution is\nthe largest environmental risk factor for human health and causes 41,524 premature deaths per year in Türkiye (51 deaths\nper 100,000 population) from PM2.5, with associated welfare costs of 5.8 percent of the Turkish GDP <sup>6</sup> [^6: World Bank. 2022. The Global Health Cost of PM2.5 Air Pollution: A Case for Action Beyond 2021. International Development in Focus. ©\nWashington, DC: World Bank. http://hdl.handle.net/10986/36501 License: CC BY 3.0 IGO.] .\n\n4. **Türkiye is highly vulnerable to climate change impacts caused by anthropogenic GHG emissions and committed to**\n**addressing the\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited as the figure's source for the emissions and growth trend.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003874:28:0", "occurrence_id": "5690f48686ea1a4ac876dbfa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUkraine Agriculture Recovery Emergency Project (P180732)\n\n\ninformation on CSA technologies and practices through the SAR platform under Component 2, which is integral part of\nsupporting production recovery.\n\n\n72. **Paris alignment:** The operation is part of the emergency food security response in a situation with urgent needs,\nfinancing temporary and timebound activities. The assessment and reduction of mitigation and adaptation risks\nconcluded that all project activities are universally aligned and with low risks. The residual risk is mitigated by a\nwidespread use of soil nutrient management maps by Ukraine’s farmers, who update them with professional help each\nyear even during the war. <sup>66</sup> [^66: According to the environmental and social audit of agricultural production practices in 2022 prepared by the World Bank for monitoring\nof the restructured Program for Results in Ukraine dated June 15, 2023, about 71 percent of farmers used the soil maps on a regular basis.] These maps help optimize the use of fertilizers and chemicals and avoid any excessive use.\nThe residual risk is also mitigated by the fact that overall application of fertilizers and chemicals has significantly\n(threefold) decreased in Ukraine as a result of higher fertilizer prices and lower output prices due to the war.\n\n\n73. **Nutrition** . The Project will support the recovery of agricultural production. While most planting area in Ukraine is\nunder grains and oilseeds, during Russia’s invasion of Ukraine many farmers are switching to produce other foods, which\nare often more nutritious and diverse. These include buckwheat, beans, and vegetables, especially by small farms. The\nsupport provided under the Project will be available for all kinds of agricultural production, including more nutritiousrich and diverse foods that are part of a high-quality diet. Small farms will also produce more of nutritious milk and meat\nwith the support of the Project. Higher local production of more diverse food will reduce prices for food in Ukraine and\nalso globally, partially compensating the declining purchasing power of especially\n\nMention: \"soil nutrient management maps\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"About 71 percent of farmers use these maps regularly, reducing residual environmental risk.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003874:28:0", "occurrence_id": "763ff37d065517bd5be376a6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nUkraine Agriculture Recovery Emergency Project (P180732)\n\n\ninformation on CSA technologies and practices through the SAR platform under Component 2, which is integral part of\nsupporting production recovery.\n\n\n72. **Paris alignment:** The operation is part of the emergency food security response in a situation with urgent needs,\nfinancing temporary and timebound activities. The assessment and reduction of mitigation and adaptation risks\nconcluded that all project activities are universally aligned and with low risks. The residual risk is mitigated by a\nwidespread use of soil nutrient management maps by Ukraine’s farmers, who update them with professional help each\nyear even during the war. <sup>66</sup> [^66: According to the environmental and social audit of agricultural production practices in 2022 prepared by the World Bank for monitoring\nof the restructured Program for Results in Ukraine dated June 15, 2023, about 71 percent of farmers used the soil maps on a regular basis.] These maps help optimize the use of fertilizers and chemicals and avoid any excessive use.\nThe residual risk is also mitigated by the fact that overall application of fertilizers and chemicals has significantly\n(threefold) decreased in Ukraine as a result of higher fertilizer prices and lower output prices due to the war.\n\n\n73. **Nutrition** . The Project will support the recovery of agricultural production. While most planting area in Ukraine is\nunder grains and oilseeds, during Russia’s invasion of Ukraine many farmers are switching to produce other foods, which\nare often more nutritious and diverse. These include buckwheat, beans, and vegetables, especially by small farms. The\nsupport provided under the Project will be available for all kinds of agricultural production, including more nutritiousrich and diverse foods that are part of a high-quality diet. Small farms will also produce more of nutritious milk and meat\nwith the support of the Project. Higher local production of more diverse food will reduce prices for food in Ukraine and\nalso globally, partially compensating the declining purchasing power of especially\n\nMention: \"environmental and social audit of agricultural production practices in 2022\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Audit providing the 71 percent map-usage figure behind the risk rating.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:49:1", "occurrence_id": "0eb385ac31c875322ec18100", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  are higher for women\ncompared to men at ten percent and seven percent, respectively; but the gender gap is larger among unemployed\nyouth aged 15-24. Among those who are employed, there are some indications of gender gaps in hourly earnings,\nwhich persist within occupations and educational levels. Data from the 2017 Labor Force Survey show that nominal\nhourly wages for men are higher in seven of the nine main occupational categories. According to primary survey\ndata collected for the purpose of a study <sup>47</sup> [^47: Pacific Digital Gender Scorecards- Regional Synthesis Report], approximately 50-74 percent of 400 females interviewed reported\nusing the internet to look for jobs, seek information, and voice their opinion on the internet <sup>48</sup> [^48: Summary of Raw data collected for this project. Sample collection used the geographical sub regions from the Samoa Bureau of Statistics (SBS).] . Access to the\ninternet outside of Apia has limitations, due to a combination of factors such as ready access to personal devices,\nsubstandard coverage, and the lack of digital skills training.\n\n\n3. **Women in rural parts of Samoa, have lower levels of access to digital technology** . A recent survey by UNCDF\nindicated that 53 percent of Samoan male respondents and 46 percent of female respondents reporting cost\nsavings on financial transactions as the result of using a digital channel. But without digital skills training, women\nare at risk of being left behind. Appropriate measures and improvements in technological skills for women in\nSamoa, will likely bring significant benefits to women. The Pacific Digital Gender Scorecards- Regional Synthesis\nReport recommends that Empowerment of Women and Girls Through Digital Skills and ICT Education to address\ndigital gender gap through creating training programs specifically targeting women and girls with the aim to\npromote digital skills and to educate them on how they can use the internet to fully benefit from opportunities\noffered by digital technologies. Women constitute 30-40 percent of ICT related industry employees including in\n\n\n43 ITU (2021)\n\nMention: \"2017 Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Men's nominal hourly wages higher in seven of nine occupational categories.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:49:1", "occurrence_id": "83cf335a07edf139cd8e74a9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  are higher for women\ncompared to men at ten percent and seven percent, respectively; but the gender gap is larger among unemployed\nyouth aged 15-24. Among those who are employed, there are some indications of gender gaps in hourly earnings,\nwhich persist within occupations and educational levels. Data from the 2017 Labor Force Survey show that nominal\nhourly wages for men are higher in seven of the nine main occupational categories. According to primary survey\ndata collected for the purpose of a study <sup>47</sup> [^47: Pacific Digital Gender Scorecards- Regional Synthesis Report], approximately 50-74 percent of 400 females interviewed reported\nusing the internet to look for jobs, seek information, and voice their opinion on the internet <sup>48</sup> [^48: Summary of Raw data collected for this project. Sample collection used the geographical sub regions from the Samoa Bureau of Statistics (SBS).] . Access to the\ninternet outside of Apia has limitations, due to a combination of factors such as ready access to personal devices,\nsubstandard coverage, and the lack of digital skills training.\n\n\n3. **Women in rural parts of Samoa, have lower levels of access to digital technology** . A recent survey by UNCDF\nindicated that 53 percent of Samoan male respondents and 46 percent of female respondents reporting cost\nsavings on financial transactions as the result of using a digital channel. But without digital skills training, women\nare at risk of being left behind. Appropriate measures and improvements in technological skills for women in\nSamoa, will likely bring significant benefits to women. The Pacific Digital Gender Scorecards- Regional Synthesis\nReport recommends that Empowerment of Women and Girls Through Digital Skills and ICT Education to address\ndigital gender gap through creating training programs specifically targeting women and girls with the aim to\npromote digital skills and to educate them on how they can use the internet to fully benefit from opportunities\noffered by digital technologies. Women constitute 30-40 percent of ICT related industry employees including in\n\n\n43 ITU (2021)\n\nMention: \"primary survey\ndata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"400 women interviewed on digital use for job search, with sample size stated.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:49:1", "occurrence_id": "73a74f19c63833ebfe89b1cf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  are higher for women\ncompared to men at ten percent and seven percent, respectively; but the gender gap is larger among unemployed\nyouth aged 15-24. Among those who are employed, there are some indications of gender gaps in hourly earnings,\nwhich persist within occupations and educational levels. Data from the 2017 Labor Force Survey show that nominal\nhourly wages for men are higher in seven of the nine main occupational categories. According to primary survey\ndata collected for the purpose of a study <sup>47</sup> [^47: Pacific Digital Gender Scorecards- Regional Synthesis Report], approximately 50-74 percent of 400 females interviewed reported\nusing the internet to look for jobs, seek information, and voice their opinion on the internet <sup>48</sup> [^48: Summary of Raw data collected for this project. Sample collection used the geographical sub regions from the Samoa Bureau of Statistics (SBS).] . Access to the\ninternet outside of Apia has limitations, due to a combination of factors such as ready access to personal devices,\nsubstandard coverage, and the lack of digital skills training.\n\n\n3. **Women in rural parts of Samoa, have lower levels of access to digital technology** . A recent survey by UNCDF\nindicated that 53 percent of Samoan male respondents and 46 percent of female respondents reporting cost\nsavings on financial transactions as the result of using a digital channel. But without digital skills training, women\nare at risk of being left behind. Appropriate measures and improvements in technological skills for women in\nSamoa, will likely bring significant benefits to women. The Pacific Digital Gender Scorecards- Regional Synthesis\nReport recommends that Empowerment of Women and Girls Through Digital Skills and ICT Education to address\ndigital gender gap through creating training programs specifically targeting women and girls with the aim to\npromote digital skills and to educate them on how they can use the internet to fully benefit from opportunities\noffered by digital technologies. Women constitute 30-40 percent of ICT related industry employees including in\n\n\n43 ITU (2021)\n\nMention: \"survey by UNCDF\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"53 percent of men and 46 percent of women reported cost savings from digital channels.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003880:4:0", "occurrence_id": "f4e348f70fbbce1e6ab095bf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTurkiye Emissions Reduction Project(P180762)\n\n\n5. **The industry sector is a major contributor to air pollution and GHGs with emissions having steadily increased over**\n**the past two decades along with the growth in heavy industry and manufacturing** . GHG emissions from industry alone\nnow represent 28% of the total (excluding LULUCF). Similarly, emissions of most air pollutants from industry have\nincreased significantly between 1990 and 2021 (in Figure 2), and industry contributes to 35% of PM2.5 emissions (Türkiye\nIIR 2023). Metals (iron and steel), and non-metallic minerals (mainly cement) are the largest GHG emitting sectors through\nstationary combustion and process emissions (Figure 3). Despite some improvements in energy efficiency, there has been\nlimited progress in reducing emissions to date amongst large industries.\n\n\n_Figure 2. Key industrial emissions in Türkiye_ _Figure 3. Industrial GHG emissions in main sectors, 2020 (kt CO2 )_\n\n\nSource: Türkiye’s Informative Inventory Report (IIR) 2023 Source: UNFCCC CRF Tables\n6. **The industry sector is a key part of Türkiye’s climate mitigation policy and is operating in an environment of growing**\n**focus on reducing emissions.** The EU is Türkiye’s most important trading partner, and there is a strong commitment to\nalign with EU policies, such as the Industrial Emissions Directive (IED) <sup>8</sup> and the Directive on the reduction of national\nemissions of certain atmospheric pollutants, commonly known as National Emissions Ceiling Directive (NECD) <sup>9</sup>, as well as\nrespond to requirements placed on exports to the EU, such as the carbon border adjustment mechanism (CBAM) <sup>10</sup> . These\npolicies will directly impact Türkiye\n\nMention: \"Türkiye\nIIR 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Inventory showing industry at 35 percent of PM2.5 emissions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003880:4:0", "occurrence_id": "0f2ef379bee40735042d925a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTurkiye Emissions Reduction Project(P180762)\n\n\n5. **The industry sector is a major contributor to air pollution and GHGs with emissions having steadily increased over**\n**the past two decades along with the growth in heavy industry and manufacturing** . GHG emissions from industry alone\nnow represent 28% of the total (excluding LULUCF). Similarly, emissions of most air pollutants from industry have\nincreased significantly between 1990 and 2021 (in Figure 2), and industry contributes to 35% of PM2.5 emissions (Türkiye\nIIR 2023). Metals (iron and steel), and non-metallic minerals (mainly cement) are the largest GHG emitting sectors through\nstationary combustion and process emissions (Figure 3). Despite some improvements in energy efficiency, there has been\nlimited progress in reducing emissions to date amongst large industries.\n\n\n_Figure 2. Key industrial emissions in Türkiye_ _Figure 3. Industrial GHG emissions in main sectors, 2020 (kt CO2 )_\n\n\nSource: Türkiye’s Informative Inventory Report (IIR) 2023 Source: UNFCCC CRF Tables\n6. **The industry sector is a key part of Türkiye’s climate mitigation policy and is operating in an environment of growing**\n**focus on reducing emissions.** The EU is Türkiye’s most important trading partner, and there is a strong commitment to\nalign with EU policies, such as the Industrial Emissions Directive (IED) <sup>8</sup> and the Directive on the reduction of national\nemissions of certain atmospheric pollutants, commonly known as National Emissions Ceiling Directive (NECD) <sup>9</sup>, as well as\nrespond to requirements placed on exports to the EU, such as the carbon border adjustment mechanism (CBAM) <sup>10</sup> . These\npolicies will directly impact Türkiye\n\nMention: \"Türkiye’s Informative Inventory Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Named in full as the source of the industrial emissions figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003880:4:0", "occurrence_id": "8ffcd98282ee25d79431186b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTurkiye Emissions Reduction Project(P180762)\n\n\n5. **The industry sector is a major contributor to air pollution and GHGs with emissions having steadily increased over**\n**the past two decades along with the growth in heavy industry and manufacturing** . GHG emissions from industry alone\nnow represent 28% of the total (excluding LULUCF). Similarly, emissions of most air pollutants from industry have\nincreased significantly between 1990 and 2021 (in Figure 2), and industry contributes to 35% of PM2.5 emissions (Türkiye\nIIR 2023). Metals (iron and steel), and non-metallic minerals (mainly cement) are the largest GHG emitting sectors through\nstationary combustion and process emissions (Figure 3). Despite some improvements in energy efficiency, there has been\nlimited progress in reducing emissions to date amongst large industries.\n\n\n_Figure 2. Key industrial emissions in Türkiye_ _Figure 3. Industrial GHG emissions in main sectors, 2020 (kt CO2 )_\n\n\nSource: Türkiye’s Informative Inventory Report (IIR) 2023 Source: UNFCCC CRF Tables\n6. **The industry sector is a key part of Türkiye’s climate mitigation policy and is operating in an environment of growing**\n**focus on reducing emissions.** The EU is Türkiye’s most important trading partner, and there is a strong commitment to\nalign with EU policies, such as the Industrial Emissions Directive (IED) <sup>8</sup> and the Directive on the reduction of national\nemissions of certain atmospheric pollutants, commonly known as National Emissions Ceiling Directive (NECD) <sup>9</sup>, as well as\nrespond to requirements placed on exports to the EU, such as the carbon border adjustment mechanism (CBAM) <sup>10</sup> . These\npolicies will directly impact Türkiye\n\nMention: \"UNFCCC CRF Tables\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UNFCCC submission tables behind the sectoral GHG figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:38:1", "occurrence_id": "f9f60e0482b9d5d642c64d5f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >|Number of people having improved access to the internet <br>|\n|Frequency<br>|Bi-annual <br>|\n|Data source<br>|OoTR Sector Report <br>|\n|Methodology for Data Collection<br>|FTTP Build Progress Report <br>|\n|Responsibility for Data Collection<br>|OoTR in coordination with MCIT <br>|\n|**People using broadband internet (new use) (enhanced) (disaggregated by sex) (youth)** <br> <br>|**People using broadband internet (new use) (enhanced) (disaggregated by sex) (youth)** <br> <br>|\n|Description<br>|Number of new users of internet <br>|\n|Frequency<br>|Bi-annual <br>|\n|Data source<br>|OoTR Sector Report <br>|\n|Methodology for Data Collection<br>|OoTR survey <br>|\n|Responsibility for Data Collection<br>|OoTR in coordination with MCIT <br>|\n|**Enhance the capacity of the Government of Samoa to deliver digitally enabled public services** <br>|**Enhance the capacity of the Government of Samoa to deliver digitally enabled public services** <br>|\n|**People using digitally enabled Government services (number) (disaggregated by sex) (youth)** <br>|**People using digitally enabled Government services (number) (disaggregated by sex) (youth)** <br>|\n|Description<br>|The number of users who would be accessing online services offered by Government through<br>the Government portal.<br>|\n|Frequency<br>|Bi-annual <\n\nMention: \"OoTR Sector Report\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Regulator's sector report named as the data source for broadband user indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:38:1", "occurrence_id": "d1e99bc95af1d47a3e4cca69", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >|Number of people having improved access to the internet <br>|\n|Frequency<br>|Bi-annual <br>|\n|Data source<br>|OoTR Sector Report <br>|\n|Methodology for Data Collection<br>|FTTP Build Progress Report <br>|\n|Responsibility for Data Collection<br>|OoTR in coordination with MCIT <br>|\n|**People using broadband internet (new use) (enhanced) (disaggregated by sex) (youth)** <br> <br>|**People using broadband internet (new use) (enhanced) (disaggregated by sex) (youth)** <br> <br>|\n|Description<br>|Number of new users of internet <br>|\n|Frequency<br>|Bi-annual <br>|\n|Data source<br>|OoTR Sector Report <br>|\n|Methodology for Data Collection<br>|OoTR survey <br>|\n|Responsibility for Data Collection<br>|OoTR in coordination with MCIT <br>|\n|**Enhance the capacity of the Government of Samoa to deliver digitally enabled public services** <br>|**Enhance the capacity of the Government of Samoa to deliver digitally enabled public services** <br>|\n|**People using digitally enabled Government services (number) (disaggregated by sex) (youth)** <br>|**People using digitally enabled Government services (number) (disaggregated by sex) (youth)** <br>|\n|Description<br>|The number of users who would be accessing online services offered by Government through<br>the Government portal.<br>|\n|Frequency<br>|Bi-annual <\n\nMention: \"OoTR survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Collection methodology for the new internet user indicators, collected bi-annually.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003921:3:2", "occurrence_id": "01a411ef8e621de43745a642", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and job potential** . Annual production is\nestimated at 2,000 tons <sup>7</sup> [^7: Numbers vary between sources: ANAG reported an annual production of 1,285 in 2022 and PISCOFAM project an annual production of 2000 tons in 2023.] or less than 1 percent of the total fisheries production. All aquaculture production is derived from\ninland sources. <sup>8</sup> [^8: Tilapia, catfishes and bony tongues being the main species. Tilapia making up nearly half of the production, followed by catfishes (31 percent) and bony tongues (19\npercent). _Source_ : FAO 2023. Guinea. WAPI factsheet on aquaculture growth potential.] Despite low total production, inland aquaculture generated over 7,500 jobs in 2022, <sup>9</sup> [^9: ANAG 2023. Plan Stratégique de Développement Durable de l’Aquaculture] from around 2,500\nactive fish farms, providing fresh fish at affordable prices to rural populations in areas of Guinea with poor access to fish\nproducts. Aquaculture has relied on extensive fish farming for the past 25 years (barrage ponds representing 90 percent\n\n\n[1 World Food Programme. 2023. WFP Guinea Country Brief. https://www.wfp.org/countries/guinea](https://www.wfp.org/countries/guinea)\n\n[2 Convention on Biological Diversity. 2025. https://www.cbd.int/countries/profile?country=gn](https://www.cbd.int/countries/profile?country=gn)\n3 Data refer to 2020. The total marine fisheries catch was nearly 310,000 tons for a first-sale value of US$ 472 million.\n4 Government of Guinea 2022. Guinea's fisheries strategic plan 2023-2027 ( _Plan stratégique halieutique à moyen terme de la Guinée 2023-2027_ )\n5 In 2021, Guinea was the 9th largest fish exporting country in Western Africa. The country\n\nMention: \"Data refer to 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Notes the vintage of the marine catch and first-sale value figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:1", "occurrence_id": "e0b7bc8865798ba7ab6e0bb7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> which focused on public PHC facilities, as well as a sample of private clinics\nand hospitals. In between these two censuses, the World Bank conducted a national-representative sample health\nfacility survey: the Quantitative Service Delivery Survey in 2016. The MoH and World Bank have collaborated to\nproduce analyses from these data sources using the WHO Service Ability and Readiness Assessment (SARA) tool.\nThe results have informed the planning and budgeting processes as well as program and policy development within\nthe MoH and other ministries such as Bappenas and MoF. The _Rifaskes_ health facility census is scheduled every 10\nyears. The latest 2019 _Rifaskes_ data are indicative of the equipment gaps at the facility level during Project\npreparation only, complemented by the comprehensive data collection to assess precise equipment gaps at each\nfacility across Indonesia to build the accurate list of equipment needs, numbers, and loci for their installation.\n\n\n3. **As facility and service readiness are key to the Project, an analysis of key findings from analytics using**\n**_Rifaskes_** **2019, multiyear health profiles, and special data collection has been performed, demonstrating the**\n**following:**\n\n\n(a) There has been notable improvement in general service readiness at the PHC level across the years.\nCompared to _Rifaskes_ 2011 _,_ most of the health services show an improvement in _Rifaskes_ 2019.\nHowever, _Rifaskes_ 2019 found gaps in multiple areas for general service readiness such as some basic\nequipment, healthcare waste management, and patient safety systems, as well as for specific services\nsuch as availability of guidelines and training, medicines and commodities, and diagnostics. There\nwere also areas that saw regressions from _Rifaskes_ 2011 such as availability of blood pressure\napparatus and Hemoglobin test that are a cause of concern (figure 4.1). <\n\nMention: \"Quantitative Service Delivery Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"National-representative facility survey conducted between the two censuses.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:1", "occurrence_id": "3048ba330a8e3caa3502c4a0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> which focused on public PHC facilities, as well as a sample of private clinics\nand hospitals. In between these two censuses, the World Bank conducted a national-representative sample health\nfacility survey: the Quantitative Service Delivery Survey in 2016. The MoH and World Bank have collaborated to\nproduce analyses from these data sources using the WHO Service Ability and Readiness Assessment (SARA) tool.\nThe results have informed the planning and budgeting processes as well as program and policy development within\nthe MoH and other ministries such as Bappenas and MoF. The _Rifaskes_ health facility census is scheduled every 10\nyears. The latest 2019 _Rifaskes_ data are indicative of the equipment gaps at the facility level during Project\npreparation only, complemented by the comprehensive data collection to assess precise equipment gaps at each\nfacility across Indonesia to build the accurate list of equipment needs, numbers, and loci for their installation.\n\n\n3. **As facility and service readiness are key to the Project, an analysis of key findings from analytics using**\n**_Rifaskes_** **2019, multiyear health profiles, and special data collection has been performed, demonstrating the**\n**following:**\n\n\n(a) There has been notable improvement in general service readiness at the PHC level across the years.\nCompared to _Rifaskes_ 2011 _,_ most of the health services show an improvement in _Rifaskes_ 2019.\nHowever, _Rifaskes_ 2019 found gaps in multiple areas for general service readiness such as some basic\nequipment, healthcare waste management, and patient safety systems, as well as for specific services\nsuch as availability of guidelines and training, medicines and commodities, and diagnostics. There\nwere also areas that saw regressions from _Rifaskes_ 2011 such as availability of blood pressure\napparatus and Hemoglobin test that are a cause of concern (figure 4.1). <\n\nMention: \"2019 _Rifaskes_ data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Facility census indicative of equipment gaps only at national level during preparation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:1", "occurrence_id": "55ef64e6ec8d7a933454597b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> which focused on public PHC facilities, as well as a sample of private clinics\nand hospitals. In between these two censuses, the World Bank conducted a national-representative sample health\nfacility survey: the Quantitative Service Delivery Survey in 2016. The MoH and World Bank have collaborated to\nproduce analyses from these data sources using the WHO Service Ability and Readiness Assessment (SARA) tool.\nThe results have informed the planning and budgeting processes as well as program and policy development within\nthe MoH and other ministries such as Bappenas and MoF. The _Rifaskes_ health facility census is scheduled every 10\nyears. The latest 2019 _Rifaskes_ data are indicative of the equipment gaps at the facility level during Project\npreparation only, complemented by the comprehensive data collection to assess precise equipment gaps at each\nfacility across Indonesia to build the accurate list of equipment needs, numbers, and loci for their installation.\n\n\n3. **As facility and service readiness are key to the Project, an analysis of key findings from analytics using**\n**_Rifaskes_** **2019, multiyear health profiles, and special data collection has been performed, demonstrating the**\n**following:**\n\n\n(a) There has been notable improvement in general service readiness at the PHC level across the years.\nCompared to _Rifaskes_ 2011 _,_ most of the health services show an improvement in _Rifaskes_ 2019.\nHowever, _Rifaskes_ 2019 found gaps in multiple areas for general service readiness such as some basic\nequipment, healthcare waste management, and patient safety systems, as well as for specific services\nsuch as availability of guidelines and training, medicines and commodities, and diagnostics. There\nwere also areas that saw regressions from _Rifaskes_ 2011 such as availability of blood pressure\napparatus and Hemoglobin test that are a cause of concern (figure 4.1). <\n\nMention: \"multiyear health profiles\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Combined with the census and special collection to show readiness improvement since 2011.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:1", "occurrence_id": "36dceb1fa67978937ec80447", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /sup> which focused on public PHC facilities, as well as a sample of private clinics\nand hospitals. In between these two censuses, the World Bank conducted a national-representative sample health\nfacility survey: the Quantitative Service Delivery Survey in 2016. The MoH and World Bank have collaborated to\nproduce analyses from these data sources using the WHO Service Ability and Readiness Assessment (SARA) tool.\nThe results have informed the planning and budgeting processes as well as program and policy development within\nthe MoH and other ministries such as Bappenas and MoF. The _Rifaskes_ health facility census is scheduled every 10\nyears. The latest 2019 _Rifaskes_ data are indicative of the equipment gaps at the facility level during Project\npreparation only, complemented by the comprehensive data collection to assess precise equipment gaps at each\nfacility across Indonesia to build the accurate list of equipment needs, numbers, and loci for their installation.\n\n\n3. **As facility and service readiness are key to the Project, an analysis of key findings from analytics using**\n**_Rifaskes_** **2019, multiyear health profiles, and special data collection has been performed, demonstrating the**\n**following:**\n\n\n(a) There has been notable improvement in general service readiness at the PHC level across the years.\nCompared to _Rifaskes_ 2011 _,_ most of the health services show an improvement in _Rifaskes_ 2019.\nHowever, _Rifaskes_ 2019 found gaps in multiple areas for general service readiness such as some basic\nequipment, healthcare waste management, and patient safety systems, as well as for specific services\nsuch as availability of guidelines and training, medicines and commodities, and diagnostics. There\nwere also areas that saw regressions from _Rifaskes_ 2011 such as availability of blood pressure\napparatus and Hemoglobin test that are a cause of concern (figure 4.1). <\n\nMention: \"special data collection\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Purpose-built collection filling gaps the decennial census cannot cover.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:56:0", "occurrence_id": "b7780b4b5ec96f7684df3d94", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDigitally Connected and Resilient Samoa (P180807)\n\n\n**Table A3.2. Subscriptions, Fixed Broadband and Wireless Broadband, Samoa**\n\n\nSource: World Bank calculations using (a) Subscriptions data from TeleGeography, except for 2020 (ITU); population data from WDI; household data\nfrom Samoa Bureau of Statistics. (b) Subscriptions data from GSMA.\n\n\n12. **Project Economic Costs, Assumptions**\n\n    - They include all assumptions related to financial costs considered in the financial analysis (see above);\n\n    - The Project is not expected to lead to negative externalities for Samoa’s society, hence there are no additional\neconomic costs.\n\n\n13. **Project Economic Benefits, Assumptions**\n\n    - They include all assumptions related to project revenues considered in the financial analysis (see above);\n\n    - The Project is expected to lead to positive externalities for Samoa’s society, henceforth described;\n\n    - For all components, this economic analysis has modeled the following channels of economic impact:\n\n`o` _Savings for government budget from operational efficiencies._ 5 percent reduction of government’s\n\ntransaction costs. In the _base_ and _alternative scenarios_, subcomponents 1.1 and 1.2 are expected to\nimprove the delivery of public services, leveraging digital government tools to achieve greater efficiency\nand effectiveness. The savings in the analysis are calculated at 1.5 percent reduction in the overall\ntransaction costs and processing time for public services, which is estimated at 5 percent based on two\nUnited Nations studies, which calculate transaction costs in Small Island Developing States as 1.5-3\npercent of GDP (these studies include costs for processing public services and administrative costs, but\nexclude costs related to personnel and infrastructure maintenance). <sup>53</sup> Two other industry studies show\nthat specific ICT-related investments can lead to 20-30 percent cost reductions over time due\n\nMention: \"Subscriptions data from TeleGeography\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Commercial subscription data used except for 2020, where ITU data substitutes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:56:0", "occurrence_id": "63e5865ed4bb77d1cd7ddc98", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDigitally Connected and Resilient Samoa (P180807)\n\n\n**Table A3.2. Subscriptions, Fixed Broadband and Wireless Broadband, Samoa**\n\n\nSource: World Bank calculations using (a) Subscriptions data from TeleGeography, except for 2020 (ITU); population data from WDI; household data\nfrom Samoa Bureau of Statistics. (b) Subscriptions data from GSMA.\n\n\n12. **Project Economic Costs, Assumptions**\n\n    - They include all assumptions related to financial costs considered in the financial analysis (see above);\n\n    - The Project is not expected to lead to negative externalities for Samoa’s society, hence there are no additional\neconomic costs.\n\n\n13. **Project Economic Benefits, Assumptions**\n\n    - They include all assumptions related to project revenues considered in the financial analysis (see above);\n\n    - The Project is expected to lead to positive externalities for Samoa’s society, henceforth described;\n\n    - For all components, this economic analysis has modeled the following channels of economic impact:\n\n`o` _Savings for government budget from operational efficiencies._ 5 percent reduction of government’s\n\ntransaction costs. In the _base_ and _alternative scenarios_, subcomponents 1.1 and 1.2 are expected to\nimprove the delivery of public services, leveraging digital government tools to achieve greater efficiency\nand effectiveness. The savings in the analysis are calculated at 1.5 percent reduction in the overall\ntransaction costs and processing time for public services, which is estimated at 5 percent based on two\nUnited Nations studies, which calculate transaction costs in Small Island Developing States as 1.5-3\npercent of GDP (these studies include costs for processing public services and administrative costs, but\nexclude costs related to personnel and infrastructure maintenance). <sup>53</sup> Two other industry studies show\nthat specific ICT-related investments can lead to 20-30 percent cost reductions over time due\n\nMention: \"population data from WDI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Provides the population denominators for the penetration calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:56:0", "occurrence_id": "107b261a37435956348f8b08", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDigitally Connected and Resilient Samoa (P180807)\n\n\n**Table A3.2. Subscriptions, Fixed Broadband and Wireless Broadband, Samoa**\n\n\nSource: World Bank calculations using (a) Subscriptions data from TeleGeography, except for 2020 (ITU); population data from WDI; household data\nfrom Samoa Bureau of Statistics. (b) Subscriptions data from GSMA.\n\n\n12. **Project Economic Costs, Assumptions**\n\n    - They include all assumptions related to financial costs considered in the financial analysis (see above);\n\n    - The Project is not expected to lead to negative externalities for Samoa’s society, hence there are no additional\neconomic costs.\n\n\n13. **Project Economic Benefits, Assumptions**\n\n    - They include all assumptions related to project revenues considered in the financial analysis (see above);\n\n    - The Project is expected to lead to positive externalities for Samoa’s society, henceforth described;\n\n    - For all components, this economic analysis has modeled the following channels of economic impact:\n\n`o` _Savings for government budget from operational efficiencies._ 5 percent reduction of government’s\n\ntransaction costs. In the _base_ and _alternative scenarios_, subcomponents 1.1 and 1.2 are expected to\nimprove the delivery of public services, leveraging digital government tools to achieve greater efficiency\nand effectiveness. The savings in the analysis are calculated at 1.5 percent reduction in the overall\ntransaction costs and processing time for public services, which is estimated at 5 percent based on two\nUnited Nations studies, which calculate transaction costs in Small Island Developing States as 1.5-3\npercent of GDP (these studies include costs for processing public services and administrative costs, but\nexclude costs related to personnel and infrastructure maintenance). <sup>53</sup> Two other industry studies show\nthat specific ICT-related investments can lead to 20-30 percent cost reductions over time due\n\nMention: \"household data\nfrom Samoa Bureau of Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Official household counts used for the fixed broadband penetration rates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003891:56:0", "occurrence_id": "96cf92af4727de1776843b34", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDigitally Connected and Resilient Samoa (P180807)\n\n\n**Table A3.2. Subscriptions, Fixed Broadband and Wireless Broadband, Samoa**\n\n\nSource: World Bank calculations using (a) Subscriptions data from TeleGeography, except for 2020 (ITU); population data from WDI; household data\nfrom Samoa Bureau of Statistics. (b) Subscriptions data from GSMA.\n\n\n12. **Project Economic Costs, Assumptions**\n\n    - They include all assumptions related to financial costs considered in the financial analysis (see above);\n\n    - The Project is not expected to lead to negative externalities for Samoa’s society, hence there are no additional\neconomic costs.\n\n\n13. **Project Economic Benefits, Assumptions**\n\n    - They include all assumptions related to project revenues considered in the financial analysis (see above);\n\n    - The Project is expected to lead to positive externalities for Samoa’s society, henceforth described;\n\n    - For all components, this economic analysis has modeled the following channels of economic impact:\n\n`o` _Savings for government budget from operational efficiencies._ 5 percent reduction of government’s\n\ntransaction costs. In the _base_ and _alternative scenarios_, subcomponents 1.1 and 1.2 are expected to\nimprove the delivery of public services, leveraging digital government tools to achieve greater efficiency\nand effectiveness. The savings in the analysis are calculated at 1.5 percent reduction in the overall\ntransaction costs and processing time for public services, which is estimated at 5 percent based on two\nUnited Nations studies, which calculate transaction costs in Small Island Developing States as 1.5-3\npercent of GDP (these studies include costs for processing public services and administrative costs, but\nexclude costs related to personnel and infrastructure maintenance). <sup>53</sup> Two other industry studies show\nthat specific ICT-related investments can lead to 20-30 percent cost reductions over time due\n\nMention: \"Subscriptions data from GSMA\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Industry association subscription figures used for the wireless broadband series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:41:0", "occurrence_id": "6a9b83d98b00fb0b854013b4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIndonesia Health Systems Strengthening Project (P180811)\n\n\n**ANNEX 2: Country and Sectoral Context**\n\n\n**<u>Country Context</u>**\n\n\n1. **Indonesia has undertaken government decentralization** **since the 1990s.** Although granting wide-ranging\nautonomy to Indonesia’s SNGs, decentralization has also led to a diffusion of governance and significant variations\nin the administrative and fiscal capacities of SNGs. <sup>58</sup> Geographic challenges further contribute to considerable\ninequalities in wealth, service availability and accessibility, and infrastructure across the country. Spanning 5,100\nkm from west to east <sup>59</sup> and with a population of over 273 million, Indonesia is the largest and most populous\narchipelagic nation in the world. Against this backdrop, it has been difficult for the GoI to achieve economic growth\nequitably across the nation. Although wealth inequality predictably exists between urban and rural areas, it is also\nheavily centralized in the west of Indonesia, especially on the islands of Java, Sumatra, Southern Borneo, and Bali. <sup>60</sup>\nThere is a nearly 14-fold difference in the 2022 GDP per capita of the wealthiest province (the Special Capital Region\nof Jakarta, with a GDP per capita of approximately US$20,000) and the poorest province (East Nusa Tenggara,\napproximately US$1,400 per capita). <sup>61</sup>\n\n\n2. **Indonesia’s strong national economic recovery from the COVID-19 pandemic masks disparities in**\n**recovery rates, as lower-income families are recovering slower.** COVID-19 significantly affected livelihoods, with a\nnational household study <sup>62</sup> of nearly 11,000 households finding that 34.\n\nMention: \"national household study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Study of nearly 11,000 households showing slower recovery among lower-income families.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003893:4:0", "occurrence_id": "04e6a2c9c8f452d1515b5690", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDigital Samoa Project(P180807)\n\n\nsupport the transition to a digitally enabled and vibrant economy. In stark contrast to the significant improvement\nof mobile broadband services <sup>13</sup> [^13: According to GoS, around 98 percent of the population have 4G mobile broadband coverage; Telegeography figures show that the population penetration for\nmobile subscriptions stands at 49.7%, which is less than the regional average of 74.15%.] in Samoa, the fixed broadband infrastructure and uptake lags considerably behind.\nFixed broadband household subscriptions currently stands at 6.1% which is significantly lower than the regional\naverage <sup>14</sup> [^14: Same as above. Regional average is the average of PIC-9 excluding Nauru, Marshall Islands and the Federated States of Micronesia.] (27.72%) and the average in GDP per capita decile (47.8%). <sup>15</sup> [^15: Telegeography data for total fixed broadband subscriptions as of June 2023.] A survey of the market also reveals that\nthe lowest entry level fixed broadband costs approximately US$55 <sup>16</sup> [^16: Speed at 100mbps and capped at 45GB, which throttles to 1mbps once data cap is exceeded.], compared to approximately US$24 for a\nsimilar package in Fiji. The limited fixed fiber infrastructure outside of Apia in Upolu and in Savai’i also present\nconsiderable challenges to the network operators in limiting their potential to improve broadband services and\nexpand coverage. The limited fixed fiber network has, likewise impeded GoS’s plan to increase accessibility of ICT\nservices to rural areas of Samoa.\n\n8. **This Project seeks to address the remaining challenges to overcome for Samoa to fully reap the benefits of the**\n**digital economy.**\n\n\n(a) **The cost of connecting remote villages is commercially unviable** given the significant fixed\n\nMention: \"Telegeography figures\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows 49.7 percent mobile penetration against a 74.15 percent regional average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003893:4:0", "occurrence_id": "ef12552cce5501b7afdc3590", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDigital Samoa Project(P180807)\n\n\nsupport the transition to a digitally enabled and vibrant economy. In stark contrast to the significant improvement\nof mobile broadband services <sup>13</sup> [^13: According to GoS, around 98 percent of the population have 4G mobile broadband coverage; Telegeography figures show that the population penetration for\nmobile subscriptions stands at 49.7%, which is less than the regional average of 74.15%.] in Samoa, the fixed broadband infrastructure and uptake lags considerably behind.\nFixed broadband household subscriptions currently stands at 6.1% which is significantly lower than the regional\naverage <sup>14</sup> [^14: Same as above. Regional average is the average of PIC-9 excluding Nauru, Marshall Islands and the Federated States of Micronesia.] (27.72%) and the average in GDP per capita decile (47.8%). <sup>15</sup> [^15: Telegeography data for total fixed broadband subscriptions as of June 2023.] A survey of the market also reveals that\nthe lowest entry level fixed broadband costs approximately US$55 <sup>16</sup> [^16: Speed at 100mbps and capped at 45GB, which throttles to 1mbps once data cap is exceeded.], compared to approximately US$24 for a\nsimilar package in Fiji. The limited fixed fiber infrastructure outside of Apia in Upolu and in Savai’i also present\nconsiderable challenges to the network operators in limiting their potential to improve broadband services and\nexpand coverage. The limited fixed fiber network has, likewise impeded GoS’s plan to increase accessibility of ICT\nservices to rural areas of Samoa.\n\n8. **This Project seeks to address the remaining challenges to overcome for Samoa to fully reap the benefits of the**\n**digital economy.**\n\n\n(a) **The cost of connecting remote villages is commercially unviable** given the significant fixed\n\nMention: \"survey of the market\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Market scan showing entry-level fixed broadband at about US$55.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003923:2:1", "occurrence_id": "28489554698fc0e6116bae75", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sup>4</sup> Projections estimate that by\n2050, at least 20 percent of regional economic activity will be impacted by climate change, with a minimum of 14 percent\nunder the most optimistic scenario. <sup>5</sup> Additionally, Chad ranked 144th out of 146 countries on the 2024 Global Gender Gap\n\n\n1 WBG data, Chad, 2022. Available at: https://data.worldbank.org/country/chad\n[2 The WBG in Chad, WBG. Available at: https://www.worldbank.org/en/country/chad. The national gross domestic product (GDP) is US$13.15 billion and per capita GDP is US$719.4 in 2023.2](https://www.worldbank.org/en/country/chad)\n3 <u>[Macro Poverty Outlook (MPO), Chad, WBG (2022). Oil represented approximately 85 percent of exports in 2021](https://thedocs.worldbank.org/en/doc/bae48ff2fefc5a869546775b3f010735-0500062021/related/mpo-tcd.pdf)</u>\n[4 According to UNFPA. https://reliefweb.int/report/chad/chad-situation-report-august-2024. Posted in September 12, 2024](https://reliefweb.int/report/chad/chad-situation-report-august-2024)\n5 <u>Regional Decarbonization & Resilience Assessment of Rural Logistics & Accessibility in the Sahel. Component 4 – Deep Dive 1: Chad. GRID Engineers. April 2024.</u>\n\n\nPage 2\n\nMention: \"Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports oil at approximately 85 percent of exports in 2021.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:0", "occurrence_id": "29c3cca7e15431082579dbc9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIndonesia Health Systems Strengthening Project (P180811)\n\n\n**ANNEX 4: Facility Readiness, Gap Assessment, and Data and Field Verification**\n\n\n**Overview**\n\n\n1. **To identify healthcare facility readiness in providing health services during the preparation of the Project,**\n**a series of analyses was undertaken for PHC facilities, referral health facilities, and public health laboratories**\n**using health facility-based data managed by the MoH.** The main source of data is the MoH’s facility-based\ninformation system building, infrastructure, and equipment or ASPAK, triangulated with other health facility data\nfrom other reports and surveys such as _Rifaskes_ 2019 and rapid primary data collection. The MoH’s HRH data base\n(SisDMK) was used to fill gaps in the main facility data sources. At the referral health services, the gap assessment\nfor key KJSU and KIA NCDs also included direct data validation using the Fostering Hospital System. <sup>86</sup> [^86: The fostering hospital network ( _Jejaring Rumah Sakit Pengampu_ ) was created to improve the quality for specialist services by teleconsultation, mentoring,\nand other capacity-building activities from the more advanced hospitals (the foster hospital) to a network of other, usually lower-level, hospitals. Similar\nmodality has been developed for public health laboratories.] The assessment\nfor public health laboratories follows a similar modality: the lowest level (Tier 1) relies fully on ASPAK, while Level 2\nand above mainly relies on special primary data collection.\n\n\n**Primary Healthcare Readiness and Capacity Gap Assessment**\n\n\n2. **Indonesia’s health system focus on PHC is reflected in multiple data sources that capture the availability**\n**of, and capacity to deliver, essential basic health services at the primary care level.** The MoH has conducted two\nrounds of _Rifaskes_ in 2011 and 2019, <sup>87</sup> [^87: MoH 2019a.] which focused on public PHC\n\nMention: \"health facility-based data managed by the MoH\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Facility data used to assess readiness during project preparation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:0", "occurrence_id": "9b5df5198061af9d4266166c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIndonesia Health Systems Strengthening Project (P180811)\n\n\n**ANNEX 4: Facility Readiness, Gap Assessment, and Data and Field Verification**\n\n\n**Overview**\n\n\n1. **To identify healthcare facility readiness in providing health services during the preparation of the Project,**\n**a series of analyses was undertaken for PHC facilities, referral health facilities, and public health laboratories**\n**using health facility-based data managed by the MoH.** The main source of data is the MoH’s facility-based\ninformation system building, infrastructure, and equipment or ASPAK, triangulated with other health facility data\nfrom other reports and surveys such as _Rifaskes_ 2019 and rapid primary data collection. The MoH’s HRH data base\n(SisDMK) was used to fill gaps in the main facility data sources. At the referral health services, the gap assessment\nfor key KJSU and KIA NCDs also included direct data validation using the Fostering Hospital System. <sup>86</sup> [^86: The fostering hospital network ( _Jejaring Rumah Sakit Pengampu_ ) was created to improve the quality for specialist services by teleconsultation, mentoring,\nand other capacity-building activities from the more advanced hospitals (the foster hospital) to a network of other, usually lower-level, hospitals. Similar\nmodality has been developed for public health laboratories.] The assessment\nfor public health laboratories follows a similar modality: the lowest level (Tier 1) relies fully on ASPAK, while Level 2\nand above mainly relies on special primary data collection.\n\n\n**Primary Healthcare Readiness and Capacity Gap Assessment**\n\n\n2. **Indonesia’s health system focus on PHC is reflected in multiple data sources that capture the availability**\n**of, and capacity to deliver, essential basic health services at the primary care level.** The MoH has conducted two\nrounds of _Rifaskes_ in 2011 and 2019, <sup>87</sup> [^87: MoH 2019a.] which focused on public PHC\n\nMention: \"_Rifaskes_ 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Facility census triangulated against the main ASPAK information system.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:0", "occurrence_id": "97046e5abb37bef1f8b3ca1d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIndonesia Health Systems Strengthening Project (P180811)\n\n\n**ANNEX 4: Facility Readiness, Gap Assessment, and Data and Field Verification**\n\n\n**Overview**\n\n\n1. **To identify healthcare facility readiness in providing health services during the preparation of the Project,**\n**a series of analyses was undertaken for PHC facilities, referral health facilities, and public health laboratories**\n**using health facility-based data managed by the MoH.** The main source of data is the MoH’s facility-based\ninformation system building, infrastructure, and equipment or ASPAK, triangulated with other health facility data\nfrom other reports and surveys such as _Rifaskes_ 2019 and rapid primary data collection. The MoH’s HRH data base\n(SisDMK) was used to fill gaps in the main facility data sources. At the referral health services, the gap assessment\nfor key KJSU and KIA NCDs also included direct data validation using the Fostering Hospital System. <sup>86</sup> [^86: The fostering hospital network ( _Jejaring Rumah Sakit Pengampu_ ) was created to improve the quality for specialist services by teleconsultation, mentoring,\nand other capacity-building activities from the more advanced hospitals (the foster hospital) to a network of other, usually lower-level, hospitals. Similar\nmodality has been developed for public health laboratories.] The assessment\nfor public health laboratories follows a similar modality: the lowest level (Tier 1) relies fully on ASPAK, while Level 2\nand above mainly relies on special primary data collection.\n\n\n**Primary Healthcare Readiness and Capacity Gap Assessment**\n\n\n2. **Indonesia’s health system focus on PHC is reflected in multiple data sources that capture the availability**\n**of, and capacity to deliver, essential basic health services at the primary care level.** The MoH has conducted two\nrounds of _Rifaskes_ in 2011 and 2019, <sup>87</sup> [^87: MoH 2019a.] which focused on public PHC\n\nMention: \"rapid primary data collection\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Field collection used where administrative and census sources leave gaps.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:0", "occurrence_id": "b001fbcf8fee3ff6cf1fe248", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIndonesia Health Systems Strengthening Project (P180811)\n\n\n**ANNEX 4: Facility Readiness, Gap Assessment, and Data and Field Verification**\n\n\n**Overview**\n\n\n1. **To identify healthcare facility readiness in providing health services during the preparation of the Project,**\n**a series of analyses was undertaken for PHC facilities, referral health facilities, and public health laboratories**\n**using health facility-based data managed by the MoH.** The main source of data is the MoH’s facility-based\ninformation system building, infrastructure, and equipment or ASPAK, triangulated with other health facility data\nfrom other reports and surveys such as _Rifaskes_ 2019 and rapid primary data collection. The MoH’s HRH data base\n(SisDMK) was used to fill gaps in the main facility data sources. At the referral health services, the gap assessment\nfor key KJSU and KIA NCDs also included direct data validation using the Fostering Hospital System. <sup>86</sup> [^86: The fostering hospital network ( _Jejaring Rumah Sakit Pengampu_ ) was created to improve the quality for specialist services by teleconsultation, mentoring,\nand other capacity-building activities from the more advanced hospitals (the foster hospital) to a network of other, usually lower-level, hospitals. Similar\nmodality has been developed for public health laboratories.] The assessment\nfor public health laboratories follows a similar modality: the lowest level (Tier 1) relies fully on ASPAK, while Level 2\nand above mainly relies on special primary data collection.\n\n\n**Primary Healthcare Readiness and Capacity Gap Assessment**\n\n\n2. **Indonesia’s health system focus on PHC is reflected in multiple data sources that capture the availability**\n**of, and capacity to deliver, essential basic health services at the primary care level.** The MoH has conducted two\nrounds of _Rifaskes_ in 2011 and 2019, <sup>87</sup> [^87: MoH 2019a.] which focused on public PHC\n\nMention: \"HRH data base\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Human resources for health database used to fill gaps in facility data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003894:47:0", "occurrence_id": "1159f73b968c8c37dba4a470", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nIndonesia Health Systems Strengthening Project (P180811)\n\n\n**ANNEX 4: Facility Readiness, Gap Assessment, and Data and Field Verification**\n\n\n**Overview**\n\n\n1. **To identify healthcare facility readiness in providing health services during the preparation of the Project,**\n**a series of analyses was undertaken for PHC facilities, referral health facilities, and public health laboratories**\n**using health facility-based data managed by the MoH.** The main source of data is the MoH’s facility-based\ninformation system building, infrastructure, and equipment or ASPAK, triangulated with other health facility data\nfrom other reports and surveys such as _Rifaskes_ 2019 and rapid primary data collection. The MoH’s HRH data base\n(SisDMK) was used to fill gaps in the main facility data sources. At the referral health services, the gap assessment\nfor key KJSU and KIA NCDs also included direct data validation using the Fostering Hospital System. <sup>86</sup> [^86: The fostering hospital network ( _Jejaring Rumah Sakit Pengampu_ ) was created to improve the quality for specialist services by teleconsultation, mentoring,\nand other capacity-building activities from the more advanced hospitals (the foster hospital) to a network of other, usually lower-level, hospitals. Similar\nmodality has been developed for public health laboratories.] The assessment\nfor public health laboratories follows a similar modality: the lowest level (Tier 1) relies fully on ASPAK, while Level 2\nand above mainly relies on special primary data collection.\n\n\n**Primary Healthcare Readiness and Capacity Gap Assessment**\n\n\n2. **Indonesia’s health system focus on PHC is reflected in multiple data sources that capture the availability**\n**of, and capacity to deliver, essential basic health services at the primary care level.** The MoH has conducted two\nrounds of _Rifaskes_ in 2011 and 2019, <sup>87</sup> [^87: MoH 2019a.] which focused on public PHC\n\nMention: \"SisDMK\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"The named ministry system supplying health workforce counts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003921:7:1", "occurrence_id": "2df603383ab280617d3e9ea5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  for aquaculture development.\n\n\n25. **Component 1. Sustainable, climate resilient and community-led fisheries management (US$31 million**\n**equivalent, of which US$24 million IDA, US$4.5 million AFD, US$2.5 million PROBLUE)** . This component seeks to enhance\ncommunity-led management initiatives and provide tools for sustainable and climate-resilient fisheries management in\nGuinea.\n\n\n26. **_Sub-component 1.1 Fisheries governance (US$20 million equivalent, of which US$18 million IDA, US$1 million_**\n**_AFD, US$1 million PROBLUE)_** **.** This sub-component aims to strengthen fisheries governance and management. The\ninterventions will support the development and enforcement of science-based regulations to ensure the sustainable\nexploitation of endangered fish stocks, including through co-management arrangements between the government and\nsmall-scale fisheries organizations or communities. In addition, the project will develop or strengthen the legal framework\nand mechanism to secure sustainable financing to support the government’s fisheries management services.\n\n\n27. **Fisheries management plans** . The project will support the development and monitoring of _fisheries management_\n_plans_ through support to the CNSHB for provision of scientific advice based on fisheries-dependent data (e.g., geolocated\ncatch and effort statistics, size distribution of catch of main species) and fisheries-independent data (e.g., stock abundance\nindexes through regular scientific campaigns, biological data on main marine and freshwater species). Additionally, the\nproject will support the MPEM in consulting stakeholders and implementing an ongoing monitoring and evaluation\nframework for fisheries management plans. At the local level, the project will expand _community-led fisheries_\n_management initiatives_ piloted under the WARFP by providing technical assistance packages to establish community-led\nfisheries management associations, and\n\nMention: \"fisheries-dependent data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Catch and effort statistics underpinning scientific advice for management plans.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003921:7:1", "occurrence_id": "6a73b0986a16e5ab2109f160", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  for aquaculture development.\n\n\n25. **Component 1. Sustainable, climate resilient and community-led fisheries management (US$31 million**\n**equivalent, of which US$24 million IDA, US$4.5 million AFD, US$2.5 million PROBLUE)** . This component seeks to enhance\ncommunity-led management initiatives and provide tools for sustainable and climate-resilient fisheries management in\nGuinea.\n\n\n26. **_Sub-component 1.1 Fisheries governance (US$20 million equivalent, of which US$18 million IDA, US$1 million_**\n**_AFD, US$1 million PROBLUE)_** **.** This sub-component aims to strengthen fisheries governance and management. The\ninterventions will support the development and enforcement of science-based regulations to ensure the sustainable\nexploitation of endangered fish stocks, including through co-management arrangements between the government and\nsmall-scale fisheries organizations or communities. In addition, the project will develop or strengthen the legal framework\nand mechanism to secure sustainable financing to support the government’s fisheries management services.\n\n\n27. **Fisheries management plans** . The project will support the development and monitoring of _fisheries management_\n_plans_ through support to the CNSHB for provision of scientific advice based on fisheries-dependent data (e.g., geolocated\ncatch and effort statistics, size distribution of catch of main species) and fisheries-independent data (e.g., stock abundance\nindexes through regular scientific campaigns, biological data on main marine and freshwater species). Additionally, the\nproject will support the MPEM in consulting stakeholders and implementing an ongoing monitoring and evaluation\nframework for fisheries management plans. At the local level, the project will expand _community-led fisheries_\n_management initiatives_ piloted under the WARFP by providing technical assistance packages to establish community-led\nfisheries management associations, and\n\nMention: \"geolocated\ncatch and effort statistics\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Spatially referenced landings data as an example of dependent data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003921:7:1", "occurrence_id": "f8b9758bbb90f8d9bc23df83", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  for aquaculture development.\n\n\n25. **Component 1. Sustainable, climate resilient and community-led fisheries management (US$31 million**\n**equivalent, of which US$24 million IDA, US$4.5 million AFD, US$2.5 million PROBLUE)** . This component seeks to enhance\ncommunity-led management initiatives and provide tools for sustainable and climate-resilient fisheries management in\nGuinea.\n\n\n26. **_Sub-component 1.1 Fisheries governance (US$20 million equivalent, of which US$18 million IDA, US$1 million_**\n**_AFD, US$1 million PROBLUE)_** **.** This sub-component aims to strengthen fisheries governance and management. The\ninterventions will support the development and enforcement of science-based regulations to ensure the sustainable\nexploitation of endangered fish stocks, including through co-management arrangements between the government and\nsmall-scale fisheries organizations or communities. In addition, the project will develop or strengthen the legal framework\nand mechanism to secure sustainable financing to support the government’s fisheries management services.\n\n\n27. **Fisheries management plans** . The project will support the development and monitoring of _fisheries management_\n_plans_ through support to the CNSHB for provision of scientific advice based on fisheries-dependent data (e.g., geolocated\ncatch and effort statistics, size distribution of catch of main species) and fisheries-independent data (e.g., stock abundance\nindexes through regular scientific campaigns, biological data on main marine and freshwater species). Additionally, the\nproject will support the MPEM in consulting stakeholders and implementing an ongoing monitoring and evaluation\nframework for fisheries management plans. At the local level, the project will expand _community-led fisheries_\n_management initiatives_ piloted under the WARFP by providing technical assistance packages to establish community-led\nfisheries management associations, and\n\nMention: \"fisheries-independent data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Scientific campaign data providing stock abundance indices independent of landings.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003921:7:1", "occurrence_id": "a3cdec8af0e1c68dcc49927f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  for aquaculture development.\n\n\n25. **Component 1. Sustainable, climate resilient and community-led fisheries management (US$31 million**\n**equivalent, of which US$24 million IDA, US$4.5 million AFD, US$2.5 million PROBLUE)** . This component seeks to enhance\ncommunity-led management initiatives and provide tools for sustainable and climate-resilient fisheries management in\nGuinea.\n\n\n26. **_Sub-component 1.1 Fisheries governance (US$20 million equivalent, of which US$18 million IDA, US$1 million_**\n**_AFD, US$1 million PROBLUE)_** **.** This sub-component aims to strengthen fisheries governance and management. The\ninterventions will support the development and enforcement of science-based regulations to ensure the sustainable\nexploitation of endangered fish stocks, including through co-management arrangements between the government and\nsmall-scale fisheries organizations or communities. In addition, the project will develop or strengthen the legal framework\nand mechanism to secure sustainable financing to support the government’s fisheries management services.\n\n\n27. **Fisheries management plans** . The project will support the development and monitoring of _fisheries management_\n_plans_ through support to the CNSHB for provision of scientific advice based on fisheries-dependent data (e.g., geolocated\ncatch and effort statistics, size distribution of catch of main species) and fisheries-independent data (e.g., stock abundance\nindexes through regular scientific campaigns, biological data on main marine and freshwater species). Additionally, the\nproject will support the MPEM in consulting stakeholders and implementing an ongoing monitoring and evaluation\nframework for fisheries management plans. At the local level, the project will expand _community-led fisheries_\n_management initiatives_ piloted under the WARFP by providing technical assistance packages to establish community-led\nfisheries management associations, and\n\nMention: \"biological data on main marine and freshwater species\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Species biology recorded during scientific campaigns for stock assessment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003923:3:1", "occurrence_id": "aafffe8cff508b379884d799", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: </sup>\n\n\nSectoral and Institutional Context\n\n3. **Chad depends on access to Douala port in Cameroon for its international trade and is seeking to diversify its strategic**\n**corridors.** Completing the missing links of the Trans-Saharan Road (TSR) <sup>10</sup> [^10: The Trans-Saharan Road (TSR) corridor is one of the oldest transnational road corridors in Africa, 4500 kms long, crossing the Sahara Desert and linking Algeria,\nChad, Mali, Niger, Nigeria, and Tunisia. The sections of the NNC within the TSR corridor are the Niamey – Malian border sections and the Zinder – Ndjamena sections.] corridor and increasing the navigability of Lake\nChad will provide connections to other major regional corridors via Niamey and Ouagadougou with new accesses to\nmaritime gateways in Cotonou, Lagos and Lomé in addition to Douala. The Chadian section of the TSR, of about 580 km,\nconsists of the Ndjamena-Massaguet-Massakory-Ngouri-Bol-Liwa-Rigrig-Daboua-Niger border sections, most of which are\npaved or under construction with financing from various donors. The only remaining unpaved section is the Liwa -Rig Rig\nsection (55km). The vulnerability of the network and the degradation of the road infrastructure are obstacles to\nagricultural productivity and access to markets.\n\n\n**_Figure 1 -_** **_Regional corridors_**\n\n\n6 World Bank, Gender data portal, https://liveprod.worldbank.org/en/economies/chad#:~:text=In%20Chad%2C%20the%20share%20of,as%20the%20world%20average%2C%2027%25\n7 Cameroon, Chad, Niger and Nigeria\n8 https://data.unhcr.org/en/country/tcd\n9 <u>[Global Hunger Index 2022: Chad. The](https://www.globalhungerindex.org/pdf/en/2022/Chad.pdf)</u> <u>[Global Index Methodology is as follow: “\n\nMention: \"Gender data portal\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Portal figures cited with URL for gender and economic participation shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003923:5:2", "occurrence_id": "0d76e3adb4205bd65108f8d9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Ministère des infrastructures, du désenclavement et de l’entretien routier), and the**\n**Ministry of Transport, Civil Aviation and National Meteorology (MTACM – Ministère des Transports, de l’aviation civile**\n**et de la météorologie nationale).** MIDER is in charge of the development of transport infrastructure (roads, waterways,\ndry ports) while MTACM is responsible for transport services, road safety, and regulation. MIDER fulfills its mandate under\nthe _Direction Générale des Infrastructures de Transport_ (DGIT) which is responsible for road asset management alongside\nspecialized agencies. However, lack of funds, poor planning and contract management have contributed to maintenance\ndifficulties. Road safety is an increasing issue in Chad: The rapid increase in motorization, improvement of the road\nnetwork, aging fleets, a lack of inspection, excess speed, and overloading of trucks have led to around 7,878 road accidents\nin 2022 according to national police data. According to the Yearbook of Health Statistics of Chad 2019, road accidents\nwere the sixth (6th) main cause of consultation in hospitals in Chad in 2019 with an estimated 4533 road traffic fatalities\nper year.\n\n\n15 Estimations in 2022. CHAD Country Economic Memorandum (CEM)\n16 Ikusemoran, M., M. Alhaji, and B. Abdussalam. 2018. Geospatial Assessments of the Shrinking Lake Chad. Adamawa State University Journal of Scientific Research.\n\n[17 GRID Arendal Website. Consulted on 23 April 2024. Available at URL.](https://www.grida.no/resources/5593) https://www.grida.no/resources/5593\n\n18 Rogelio Granguillhome, Marco Hernandez, Samantha Lach, Takaaki Masaki, and Carlos Rodriguez-Castelan (2021)\n\nMention: \"national police data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Police records showing around 7,878 road accidents in 2022.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003923:5:2", "occurrence_id": "e1e72304f6d2f2e0c9f7beab", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Ministère des infrastructures, du désenclavement et de l’entretien routier), and the**\n**Ministry of Transport, Civil Aviation and National Meteorology (MTACM – Ministère des Transports, de l’aviation civile**\n**et de la météorologie nationale).** MIDER is in charge of the development of transport infrastructure (roads, waterways,\ndry ports) while MTACM is responsible for transport services, road safety, and regulation. MIDER fulfills its mandate under\nthe _Direction Générale des Infrastructures de Transport_ (DGIT) which is responsible for road asset management alongside\nspecialized agencies. However, lack of funds, poor planning and contract management have contributed to maintenance\ndifficulties. Road safety is an increasing issue in Chad: The rapid increase in motorization, improvement of the road\nnetwork, aging fleets, a lack of inspection, excess speed, and overloading of trucks have led to around 7,878 road accidents\nin 2022 according to national police data. According to the Yearbook of Health Statistics of Chad 2019, road accidents\nwere the sixth (6th) main cause of consultation in hospitals in Chad in 2019 with an estimated 4533 road traffic fatalities\nper year.\n\n\n15 Estimations in 2022. CHAD Country Economic Memorandum (CEM)\n16 Ikusemoran, M., M. Alhaji, and B. Abdussalam. 2018. Geospatial Assessments of the Shrinking Lake Chad. Adamawa State University Journal of Scientific Research.\n\n[17 GRID Arendal Website. Consulted on 23 April 2024. Available at URL.](https://www.grida.no/resources/5593) https://www.grida.no/resources/5593\n\n18 Rogelio Granguillhome, Marco Hernandez, Samantha Lach, Takaaki Masaki, and Carlos Rodriguez-Castelan (2021)\n\nMention: \"Yearbook of Health Statistics of Chad 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Ranks road accidents sixth in hospital consultations, with 4,533 estimated annual fatalities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003893:4:1", "occurrence_id": "81125c3180d83f43a8ab7998", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  are still 47 districts\nidentified by OoTR as unserved and underserved areas in which more than 60 percent of the population live <sup>17</sup> [^17: Based on 2021 census data on population by location from the Samoa Bureau of Statistics and MCIT’s list provided to the WB task team on underserved and/or\nunserved areas.] .\nConnecting remote villages and improving the performance of existing networks will allow Samoan citizens to\naccess not only essential government services and information but also telehealth and online educational\nresources. Broadband access can further enhance market access, enabling residents of remote villages to sell\nfresh produce through e-commerce and seek other economic opportunities.\n\n\n(b) **The Samoa National Broadband Highway (SNBH), GoS’s intranet used by around 27 government ministries**\n\n**and agencies, schools and hospitals, and the government datacenter have reached their capacity and need**\n**to be replaced.** <sup>18</sup> [^18: https://china.aiddata.org/projects/37695/] Since launching in 2014 <sup>19</sup> [^19: Financed by US$20m loan from the Export-Import Bank of China. SNBH is a 6km fiber ring, and a wireless transmission network.], SNBH has been serving as a critical infrastructure enabling the\nvarious agencies of government to connect to a central, “closed” <sup>20</sup> [^20: SNBH does not provide internet to its users.] network. The SNBH equipment is already\nat its end of life and needs to be replaced. To the extent that the SNBH implementation stimulated private\nsector investment in the sector, the SNBH intervention can be seen to have performed a valuable role and\ndelivered material gains. Furthermore, the GoS’s datacenter, which is expected to host the digital ID system\nhas also exceeded its capacity and has frequent electricity outages, resulting in services being impacted.\n\n\n(c)\n\nMention: \"2021 census data on population by location\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Locates population to identify the 47 unserved and underserved districts.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003924:45:3", "occurrence_id": "e312eb05eca83b6270944ab4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |\n|**Data source**<br>Annual Statistical Yearbook|**Data source**<br>Annual Statistical Yearbook|\n|**Methodology for Data Collection**<br>School census|**Methodology for Data Collection**<br>School census|\n|**Responsibility for Data Collection**<br>Department of Planning within MNESR|**Responsibility for Data Collection**<br>Department of Planning within MNESR|\n|**Students supported with better education**|**Students supported with better education**|\n|**Description**<br>Corporate Scorecard|**Description**<br>Corporate Scorecard|\n|**Frequency**<br>Annually|**Frequency**<br>Annually|\n|**Data source**<br>Project records|**Data source**<br>Project records|\n|**Methodology for Data Collection**<br>Consultation of project records|**Methodology for Data Collection**<br>Consultation of project records|\n|**Responsibility for Data Collection**|M&E Specialist of the PCT|\n\n\n**<u>Monitoring & Evaluation Plan: Intermediate Results Indicators by Components</u>**\n\n\n\n\n\n\n\nPage 46 of 66\n\nMention: \"project records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Project records named as the source for the corporate scorecard indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003924:32:0", "occurrence_id": "a450d64b78fb351facbaeb1f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBDI Human Capital Development Project (P180925)\n\n\nof the RF indicators. The reports and RF targets’ achievement status will be consolidated by the health PCT. Data for project\nmonitoring will be drawn primarily from three main sources: (i) progress reports and information systems of\nMNESR/MSPLS directorates and services; (ii) PCTs progress reports and information system; (iii) evaluations; and (iv)\nsample-based surveys/assessments. The main directorates/services with implementation responsibilities will report on\nactivities executed under the project.\n\n53. **Progress review** . The project will conduct bi-annual performance and progress reviews as part of the joint formal\nImplementation Support Missions. A performance and progress review will also form part of the annual exercise to\ndevelop the Annual Project Plan and budget, incorporating course corrections as needed. All reviews will draw on the\nmonitoring and evaluation information generated by the project.\n\n\n**C.** **Sustainability**\n\n\n54. **The GoB has made significant investments in the social sectors, allocating more than half of the budget to**\n**these areas.** Furthermore, the government has been increasing its financial contribution to the Free Healthcare (FHC)\nPBF program. Throughout the Health Sector Development Strategy Plan period (2021-2027), the government has met its\nfinancial commitments. This has enabled the program to continue operating even after some donors have withdrawn.\nThe share of the government spending was equivalent to a minimum of 1.4 percent of the general state budget. In 2017\nthe government confirmed its commitment to support this important program by increasing the general budget support\nby 0.1 percentage point annually. Since 2017 general budget support has been: 1.5 percent in 2017, 1.6 percent in 2018,\n1.7 percent in 2019, 1.8 percent in 2020, and 1.9\n\nMention: \"monitoring and evaluation information\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"M&E information generated by the project feeds reviews and the annual plan and budget.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003926:14:2", "occurrence_id": "f5e39e3fa9a417a349ce293b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  internally displaced persons (IDPs). <sup>10</sup> Djibouti, which is seen as a transit country to the Middle East, hosts over\n\n\n1 Eastern Africa represents countries included in both ‘East Africa’ (Burundi, Kenya, Rwanda, South Sudan, Tanzania, and Uganda) and those in the ‘Horn\nof Africa’ (Djibouti, Eritrea, Ethiopia, Kenya, Somalia, South Sudan, Sudan, and Uganda).\n2 Population, young, and rural disaggregation estimates are based on 2019 World Bank (WB) staff calculations, WB Indicators. Djibouti is a noticeable\nexception with only 22 percent.\n3 Poverty estimates are based on World Bank staff calculations and the latest available survey data. World Economic Indicators, Horn of Africa Regional\nEconomic Memorandum (REM) 2021.\n4 GDP per capita (constant 2015 US dollars) estimates are based on 2020 World Bank staff calculations.\n5 HDI ranking data are based on United Nations Development Programme 2019 estimates (HDI) _._\n6 Ministry of Finance (MoF), Ministry of Planning and Development, National Bank of Ethiopia (NBE)\n7 Simmering tensions between the federal government and the regional government of Tigray (controlled by the Tigray People’s Liberation Front [TPLF]\nculminated in a military confrontation escalating to the outbreak of a violent conflict (2020–2022). In November 2022, a Peace Agreement was signed,\nwhich has started to pave the way for recovery.\n8 An armed conflict between rival factions of the military government of Sudan began on April 15, 2023, when clashes broke out in cities, with the\nfighting concentrated around the capital city of Khartoum and the Darfur region.\n9 International Organization for Migration Response overview, Sudan Crisis and Neighboring Countries, May 2023.\n10 <u>United Nations High Commissioner for Refugees (UNHCR), Country Operational Update, 2023.</u>\n\n\nPage 1\n\nMention: \"WB Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Population, youth and rural disaggregation from Bank indicators with staff calculations.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003926:14:2", "occurrence_id": "fd19c4564f9d26cee3e171ac", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  internally displaced persons (IDPs). <sup>10</sup> Djibouti, which is seen as a transit country to the Middle East, hosts over\n\n\n1 Eastern Africa represents countries included in both ‘East Africa’ (Burundi, Kenya, Rwanda, South Sudan, Tanzania, and Uganda) and those in the ‘Horn\nof Africa’ (Djibouti, Eritrea, Ethiopia, Kenya, Somalia, South Sudan, Sudan, and Uganda).\n2 Population, young, and rural disaggregation estimates are based on 2019 World Bank (WB) staff calculations, WB Indicators. Djibouti is a noticeable\nexception with only 22 percent.\n3 Poverty estimates are based on World Bank staff calculations and the latest available survey data. World Economic Indicators, Horn of Africa Regional\nEconomic Memorandum (REM) 2021.\n4 GDP per capita (constant 2015 US dollars) estimates are based on 2020 World Bank staff calculations.\n5 HDI ranking data are based on United Nations Development Programme 2019 estimates (HDI) _._\n6 Ministry of Finance (MoF), Ministry of Planning and Development, National Bank of Ethiopia (NBE)\n7 Simmering tensions between the federal government and the regional government of Tigray (controlled by the Tigray People’s Liberation Front [TPLF]\nculminated in a military confrontation escalating to the outbreak of a violent conflict (2020–2022). In November 2022, a Peace Agreement was signed,\nwhich has started to pave the way for recovery.\n8 An armed conflict between rival factions of the military government of Sudan began on April 15, 2023, when clashes broke out in cities, with the\nfighting concentrated around the capital city of Khartoum and the Darfur region.\n9 International Organization for Migration Response overview, Sudan Crisis and Neighboring Countries, May 2023.\n10 <u>United Nations High Commissioner for Refugees (UNHCR), Country Operational Update, 2023.</u>\n\n\nPage 1\n\nMention: \"World Economic Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Combined with survey data in the regional economic memorandum for poverty estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003924:47:1", "occurrence_id": "5e325cc03036749d2a9f60d4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  reception documents.<br>Denominator: Statistical Yearbook for the year in which textbooks distribution is complete.|**Data source**<br>Numerator: project records, specifically school-level official reception documents.<br>Denominator: Statistical Yearbook for the year in which textbooks distribution is complete.|\n|**Methodology for Data Collection**<br>Compilation of the number of textbooks received by each beneficiary school, and then<br>expressed as a percentage with the denominator being total students enrolled per statistical<br>yearbook figures|**Methodology for Data Collection**<br>Compilation of the number of textbooks received by each beneficiary school, and then<br>expressed as a percentage with the denominator being total students enrolled per statistical<br>yearbook figures|\n|**Responsibility for Data Collection**<br>M&E Specialist within the PCT|**Responsibility for Data Collection**<br>M&E Specialist within the PCT|\n|**Teachers recruited or trained**|**Teachers recruited or trained**|\n|**Description**<br> Number of teachers of Grades 5-9 benefiting from trainings throughout project<br>implementation|**Description**<br> Number of teachers of Grades 5-9 benefiting from trainings throughout project<br>implementation|\n|**Frequency**<br>Annually|**Frequency**<br>Annually|\n|**Data source**<br>Project's execution report - Education section|**Data source**<br>Project's execution report - Education section|\n|**Methodology for Data Collection**<br>Teachers' training data compilation that are financed by the project in the elapsed year|**Methodology for Data\n\nMention: \"yearbook figures\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Enrolment denominators from the statistical yearbook for the textbook distribution ratio.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003940:42:1", "occurrence_id": "1f3b463e0bd6912ac2a209ae", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  planned<br>relocation. Less exposure to flooding means decreased likelihood and intensity of flooding, due to project-related <br>investments for houses and other immovable assets. <br>Target: Malanza, Io Grande, Ribeira Afonso, Praia Lochinga, Praia Cruz, Micoló, Santa Catarina, Praia Abade, and Praia <br>Burra|\n|Frequency|Annual|\n|Data Source|Field Survey|\n|Methodology for Data<br>Collection|Field survey carried out during the impact studies of the works to be carried out and the impact studies of protective<br>infrastructures carried out by the project. The studies must determine the extent of the areas protected against coastal<br>erosion owing to the infrastructures and investments made and the number of households located in these areas.|\n|Responsibility for Data<br>Collection|PIU|\n\n\n\n\n\n\n|Tourism infrastructure with improved climate resilience|Col2|\n|---|---|\n|**(number)**|**(number)**|\n|Description|The indicator captures completion of tourism infrastructure rehabilitation. It measures critical assets and infrastructure<br>protected from climate risks due to climate risk mitigation interventions supported by the project. Target can include<br>improved access to beaches and other sites, such as roads, museums/visitor centers, and hiking and trekking paths.|\n|Frequency|Annual|\n|Data Source|Data from relevant beneficiaries|\n|Methodology for Data<br>Collection|Confirmation of completion of infrastructure incorporating climate resilience practices confirmed by relevant project<br>beneficiaries (for example, Capitania de Portos, Ministry of Agriculture, and MEcon)|\n|Responsibility for Data<br>Collection|PIU|\n\n\n\n\n\n\n\n\n|Increase in visitor average spending per trip|Col2|\n|---|\n\nMention: \"Field survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Surveys during impact studies determine the extent of areas protected against coastal erosion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003940:15:0", "occurrence_id": "0e25f588462a22f2452f391e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nCoastal Resilience and Sustainable Tourism Project (P180982)\n\n\n**B. Sectoral and Institutional Context**\n\n\n7. **STP is well positioned to take advantage of an economic development model based on blue economy**\n**development.** The country developed its Blue Economy Transition Strategy in 2021. The blue economy has been estimated\nto account for 51 percent of STP’s economy in terms of gross added value between 2016 and 2020, as well as for 17\npercent of total employment in 2017. <sup>25</sup> By sustainably managing oceanic and coastal assets, STP can strengthen economic\ngrowth, create employment opportunities for men and women, and increase food security for its citizens.\n\n\n8. **Sustainable nature-based tourism is a key entry point for blue economy development in STP.** Tourism arrivals\nmore than tripled in the decade up to the COVID-19 pandemic, reaching almost 35,000 arrivals in 2019. Arrivals are\nestimated to have reached pre-pandemic levels in 2023. <sup>26</sup> Nevertheless, STP has a lower number of international tourist\narrivals in per capita terms compared to other island countries such as Cabo Verde and Mauritius. <sup>27</sup> Accurate statistics on\nthe economic impact of tourism are lacking, but one estimate puts the contribution of tourism and travel activities at 10.3\npercent of GDP in 2021 and 9.7 percent of total jobs. <sup>28</sup> In 2022, 82 percent of the international flight passengers arriving\nat Nuno Xavier Airport originated from Lisbon Airport. Moreover, over 50 percent of the total arrivals consisted of\nPortuguese travelers <sup>29</sup> . While this denotes a lack of diversification, they represent under 15,000 tourists, which is very\nlittle considering the overall size of the outbound Portuguese market, pointing to\n\nMention: \"Tourism arrivals\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Arrivals tripled to almost 35,000 in 2019 before the pandemic.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003938:47:0", "occurrence_id": "fa44a3831e3bd6662caf0890", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFiji Critical Bridges Resilience Project (P180979)\n\n\n**ANNEX 3: GENDER ANALYSIS**\n\n\n1. **Gender equality in Fiji remains a pressing challenge, with the 2023 World Economic Forum Gender Gap Report**\n**ranking the country 121 out of 146, highlighting gaps in women's economic participation and political**\n**empowerment.** Since ratifying CEDAW in 1995, Fiji has made legislative progress and supports initiatives such as\nthe Beijing Platform for Action and the 2030 Agenda for Sustainable Development, focusing on gender equality.\nHowever, effective policy implementation is hindered by the isolation of economic and social policies, resulting in\neconomic policies that lack gender considerations.\n\n2. **Female Labor force participation is lower than men despite women dominating enrollment in tertiary education** .\nFiji's labor force comprised 382,456 individuals, with women representing 38 percent of the population in 2022.\nHowever, female labor force participation was 30 percent lower than that of males in 2021, despite near gender\nparity in primary and secondary school enrollment. The 2023 Fiji Country Gender Assessment noted that primary\nnet enrollment is 100 percent and secondary enrollment is 85 percent, with more girls transitioning to secondary\nschool (97 percent) compared to boys (74 percent). Women dominate tertiary education enrollment (60-65\npercent) but are underrepresented in technical and vocational training.\n\n3. **Gender gaps in education and skills hinder productivity and limit women's employment opportunities, often**\n**relegating them to administrative roles.** A 2020 Market Development Facility report highlighted that more women\nare unemployed than men, and traditional gender roles restrict women's participation in entrepreneurship.\nWomen disproportionately handle unpaid domestic work, impacting their work-life balance and agency in decisionmaking.\n\n4. **Gender imbalance is also a significant issue in Fiji's transport sector, even though data on women as transport**\n**workers\n\nMention: \"2023 Fiji Country Gender Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Records near parity in enrolment yet 30 percent lower female labour participation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003938:47:0", "occurrence_id": "7ef39b9101b05922d033616a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFiji Critical Bridges Resilience Project (P180979)\n\n\n**ANNEX 3: GENDER ANALYSIS**\n\n\n1. **Gender equality in Fiji remains a pressing challenge, with the 2023 World Economic Forum Gender Gap Report**\n**ranking the country 121 out of 146, highlighting gaps in women's economic participation and political**\n**empowerment.** Since ratifying CEDAW in 1995, Fiji has made legislative progress and supports initiatives such as\nthe Beijing Platform for Action and the 2030 Agenda for Sustainable Development, focusing on gender equality.\nHowever, effective policy implementation is hindered by the isolation of economic and social policies, resulting in\neconomic policies that lack gender considerations.\n\n2. **Female Labor force participation is lower than men despite women dominating enrollment in tertiary education** .\nFiji's labor force comprised 382,456 individuals, with women representing 38 percent of the population in 2022.\nHowever, female labor force participation was 30 percent lower than that of males in 2021, despite near gender\nparity in primary and secondary school enrollment. The 2023 Fiji Country Gender Assessment noted that primary\nnet enrollment is 100 percent and secondary enrollment is 85 percent, with more girls transitioning to secondary\nschool (97 percent) compared to boys (74 percent). Women dominate tertiary education enrollment (60-65\npercent) but are underrepresented in technical and vocational training.\n\n3. **Gender gaps in education and skills hinder productivity and limit women's employment opportunities, often**\n**relegating them to administrative roles.** A 2020 Market Development Facility report highlighted that more women\nare unemployed than men, and traditional gender roles restrict women's participation in entrepreneurship.\nWomen disproportionately handle unpaid domestic work, impacting their work-life balance and agency in decisionmaking.\n\n4. **Gender imbalance is also a significant issue in Fiji's transport sector, even though data on women as transport**\n**workers\n\nMention: \"data on women as transport\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Data gap acknowledged: few data exist on women as transport workers or users.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003929:5:0", "occurrence_id": "c1d212afb83b029798b29612", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening Coastal Resilience and the Economy (P180932)\n\n\n**14.** **Component 1: Strengthening institutions for Integrated Coastal Zone Management:** The component will help\nTamil Nadu and Karnataka augment their capabilities in climate-resilient research, planning, and decision-making for\nmanagement of coastal and marine resources. The component will finance the preparation or improvement of integrated\ncoastal zone management plans to inform priority investments for the restoration and conservation of coastal ecosystems.\nThe component will also finance technical assistance that will identify the most climate-vulnerable stretches of the\ncoastline requiring coastal protection interventions and analytical studies for blue carbon finance. The management plans\nalready in place will be upgraded in close consultation with local communities. The component will also include technical\nassistance activities supporting cross-learning, knowledge sharing, and exposure of stakeholders to international good\npractices on coastal ecosystem monitoring and conservation. This component will finance consulting services, training,\ngoods and project management costs.\n\n\n**15.** **Component 2:** **Shoreline management, coastal protection, and conservation:** This component aims to enhance\nthe ecological sustainability and resilience of physical and natural coastal assets through: (a) reducing coastal erosion and\nits impacts; (b) maintaining the ecological functions of coastal ecosystems and landscapes that deliver protection services\nto coastal communities from environmental and climate hazards; and (c) strengthening environmental and ecosystem\nmonitoring systems to inform actions. This component will finance consulting services, goods, works, and training.\n\n\n**16.** **Component 3: Improving livelihoods for natural resource dependent communities.** This component will support\nclimate-resilient and adaptable development in the coastal communities. This includes location-based investments in\ntransformative solutions helping communities to respond and adapt to climate and disaster risks, skills development,\ntraining and enterprise capacity building, and community livelihood activities. Activities will boost community capacity for\nraising alternative incomes\n\nMention: \"environmental and ecosystem\nmonitoring systems\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Systems to be strengthened so monitoring informs coastal protection actions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003938:36:3", "occurrence_id": "116cd4bd934565b92da45e15", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **|\n|Description <br>Number of youths directly benefiting from improved access to sustainable transport infrastructure or services that have<br>been built or rehabilitated through financed interventions (e.g., climate-resilient bridges).|Description <br>Number of youths directly benefiting from improved access to sustainable transport infrastructure or services that have<br>been built or rehabilitated through financed interventions (e.g., climate-resilient bridges).|\n|Frequency<br>** Semesterly**|Frequency<br>** Semesterly**|\n|Data source<br>** Project Progress Reports**|Data source<br>** Project Progress Reports**|\n|Methodology for Data<br>Collection <br>** Review of latest traffic data and census report**|Methodology for Data<br>Collection <br>** Review of latest traffic data and census report**|\n|Responsibility for Data<br>Collection <br>** PMU (FRA)**|Responsibility for Data<br>Collection <br>** PMU (FRA)**|\n|**People benefiting from climate resilient infrastructure (Number of people)CRI**|**People benefiting from climate resilient infrastructure (Number of people)CRI**|\n|Description <br>The number of people benefitting directly and indirectly from improved climate risk management and increased climate<br>resilience due to investments and activities by the project.|Description <br>The number of people benefitting directly and indirectly from improved climate risk management and increased climate<br>resilience due to investments and activities by the project.|\n|Frequency<br>** Semesterly**|Frequency<br>** Semesterly**|\n|Data source<br>** Project Progress Reports\n\nMention: \"traffic data and census report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Latest traffic and census data reviewed to estimate youth beneficiaries of improved access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003970:4:2", "occurrence_id": "d54c794e7c18c4c73e25475c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  key for the future sustainability of existing irrigation\nsystems, including those invested in under the former GAFSP financed and World Bank administered Land Husbandry,\nWater Harvesting, and Hillside Irrigation Project (LWH) (P114931).\n\n6. **The decrease in food insecurity has stagnated, malnutrition remains high, and building human capital for future**\n**competition faces challenges.** After a period of declining food insecurity, the lower-than-normal harvests and food price\nincreases resulted in a 2 percent increase in food insecurity since 2018. In 2021, 20.6 percent of the Rwandan population\n\n\n15 Systematic Country Diagnostic, World Bank, 2019\n[16 Rwanda Climate Risk Profile, World Bank (https://climateknowledgeportal.worldbank.org/sites/default/files/2021-09/15970-](https://climateknowledgeportal.worldbank.org/sites/default/files/2021-09/15970-WB_Rwanda%20Country%20Profile-WEB.pdf)\n[WB_Rwanda%20Country%20Profile-WEB.pdf](https://climateknowledgeportal.worldbank.org/sites/default/files/2021-09/15970-WB_Rwanda%20Country%20Profile-WEB.pdf)\n17 Irrigation Master Plan, 2019\n[18 2023A Seasonal Agriculture Survey, National Institute of Statistics of Rwanda (https://www.statistics.gov.rw/publication/1930), 2023](https://www.statistics.gov.rw/publication/1930)\n19 Rwanda Agriculture Gender and Youth Mainstreaming Strategy, 2019, and Assessing the Implementation, Accountability of “Gender and Youth\nmainstreaming strategy in agriculture 2019-2026”, 2021\n20 World Bank Farmer Led Irrigation Development FLID Report, 2021\n21 Rwanda Agriculture Gender and Youth Mainstreaming Strategy, 2019, and Assessing the Implementation\n\nMention: \"Rwanda Climate Risk Profile\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Climate profile cited with URL for the hazard context behind harvest failures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003970:4:2", "occurrence_id": "2762de6465e22330dd89aa56", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  key for the future sustainability of existing irrigation\nsystems, including those invested in under the former GAFSP financed and World Bank administered Land Husbandry,\nWater Harvesting, and Hillside Irrigation Project (LWH) (P114931).\n\n6. **The decrease in food insecurity has stagnated, malnutrition remains high, and building human capital for future**\n**competition faces challenges.** After a period of declining food insecurity, the lower-than-normal harvests and food price\nincreases resulted in a 2 percent increase in food insecurity since 2018. In 2021, 20.6 percent of the Rwandan population\n\n\n15 Systematic Country Diagnostic, World Bank, 2019\n[16 Rwanda Climate Risk Profile, World Bank (https://climateknowledgeportal.worldbank.org/sites/default/files/2021-09/15970-](https://climateknowledgeportal.worldbank.org/sites/default/files/2021-09/15970-WB_Rwanda%20Country%20Profile-WEB.pdf)\n[WB_Rwanda%20Country%20Profile-WEB.pdf](https://climateknowledgeportal.worldbank.org/sites/default/files/2021-09/15970-WB_Rwanda%20Country%20Profile-WEB.pdf)\n17 Irrigation Master Plan, 2019\n[18 2023A Seasonal Agriculture Survey, National Institute of Statistics of Rwanda (https://www.statistics.gov.rw/publication/1930), 2023](https://www.statistics.gov.rw/publication/1930)\n19 Rwanda Agriculture Gender and Youth Mainstreaming Strategy, 2019, and Assessing the Implementation, Accountability of “Gender and Youth\nmainstreaming strategy in agriculture 2019-2026”, 2021\n20 World Bank Farmer Led Irrigation Development FLID Report, 2021\n21 Rwanda Agriculture Gender and Youth Mainstreaming Strategy, 2019, and Assessing the Implementation\n\nMention: \"2023A Seasonal Agriculture Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Seasonal survey supplying agricultural production and irrigation figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003944:3:1", "occurrence_id": "a10a0cdb5c174a47426fd5eb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a variety of governance constraints and drivers, including gaps in _policy-level_\ngovernance of the SOE sector (institutions, laws-regulations, policies, ownership function), _owner-level_\ninstitutional governance (sectoral performance monitoring and incentive systems), and _company level_\ngovernance, as well as gaps in public understanding and demand for reform. The support is designed around\na “menu” of activities whose implementation, timing, and sequencing is flexible and demand-driven. The RE\nactivities are more limited in scope and by design were meant to support targeted interventions to build the\ncapacity for central oversight of SOEs in BiH’s main jurisdictions. Taken together, the BE and RE activities are\ndesigned and expected to contribute to two key intermediate outcomes: provide BiH governments with\nevidence, options, and tools needed to select, design, and begin critical reforms; and help build public\nawareness and demand for reform.\n\n\n[1] IMF 2019 “State-owned enterprises in BiH;” World Bank staff calculations using latest labor force survey\ndata.\n\n\n[2] Unless otherwise noted, statistics drawn from IMF 2019.\n\n\n[3] In 2018, 97.4% of SOEs did not pay dividends (IMF 2019).\n\n\n[4] World Bank 2018 (“Modernization of Water Supply and Sanitation Services in BiH”); EU-28 data from WDI.\n\n\n[5] World Bank 2015 Systematic Country Diagnostic (SCD), World Bank 2019 SCD update, IMF 2019a. Beyond\nBiH, a large empirical literature demonstrates strong links between governance and SOE performance, see\nAnnex A.\n\n\n[6] World Bank 2014. “Bosnia and Herzegovina Floods, Recovery Needs Assessment.”\n\n\nJul 11, 2023 Page 4 of 13\n\nMention: \"labor force survey\ndata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Staff calculations on the latest survey behind the employment statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003944:3:1", "occurrence_id": "88fd3b5af93ada999f78f95f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a variety of governance constraints and drivers, including gaps in _policy-level_\ngovernance of the SOE sector (institutions, laws-regulations, policies, ownership function), _owner-level_\ninstitutional governance (sectoral performance monitoring and incentive systems), and _company level_\ngovernance, as well as gaps in public understanding and demand for reform. The support is designed around\na “menu” of activities whose implementation, timing, and sequencing is flexible and demand-driven. The RE\nactivities are more limited in scope and by design were meant to support targeted interventions to build the\ncapacity for central oversight of SOEs in BiH’s main jurisdictions. Taken together, the BE and RE activities are\ndesigned and expected to contribute to two key intermediate outcomes: provide BiH governments with\nevidence, options, and tools needed to select, design, and begin critical reforms; and help build public\nawareness and demand for reform.\n\n\n[1] IMF 2019 “State-owned enterprises in BiH;” World Bank staff calculations using latest labor force survey\ndata.\n\n\n[2] Unless otherwise noted, statistics drawn from IMF 2019.\n\n\n[3] In 2018, 97.4% of SOEs did not pay dividends (IMF 2019).\n\n\n[4] World Bank 2018 (“Modernization of Water Supply and Sanitation Services in BiH”); EU-28 data from WDI.\n\n\n[5] World Bank 2015 Systematic Country Diagnostic (SCD), World Bank 2019 SCD update, IMF 2019a. Beyond\nBiH, a large empirical literature demonstrates strong links between governance and SOE performance, see\nAnnex A.\n\n\n[6] World Bank 2014. “Bosnia and Herzegovina Floods, Recovery Needs Assessment.”\n\n\nJul 11, 2023 Page 4 of 13\n\nMention: \"EU-28 data from WDI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Benchmark values from WDI for comparing BiH service indicators with the EU.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003970:3:0", "occurrence_id": "bd267513836aeac48e6992ce", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSUSTAINABLE AGRICULTURAL INTENSIFICATION AND FOOD SECURITY PROJECT II (P181077)\n\n\n**2.** **However, the recent outbreak of Corona Virus-19 (COVID-19) pandemic pushed Rwanda’s economy into its first**\n**contraction since 1994 and the country is since on a slower growth trajectory, faced by multiple challenges.** The GDP in\nreal terms dropped to -3.4 percent in 2020, compared to an expansion of 8 percent anticipated before the COVID-19\noutbreak <sup>5</sup> [^5: GDP National Accounts, 2020, page 6] . In comparison with 2018, the food security situation in Rwanda deteriorated by 2 percent <sup>6</sup> [^6: Comprehensive Food Security & Vulnerability Analysis, CFSVA, 2021, page vi] . The current global\nfood, fuel, and fertilizer prices, driven in large part by the fallout from the ongoing war in Ukraine and the sanctions\nimposed on Russia <sup>7</sup> [^7: Rwanda: Impacts of the Ukraine and global crises on poverty and food security), page i] has negatively impacted Rwanda’s recovery and led to dramatic price increases. Driven by increasing\nfuel and fertilizer prices in combination with a poor growing season Rwanda is currently experiencing the 7th highest food\ninflation in the world <sup>8</sup> [^8: Consumer Price Index, NISR, May 2023, page 1] . Overall inflation increased, mostly driven by the drastic rise in food crop prices. The Consumer Price\nIndex (CPI) since April 2022 increased by 28.4 percent (35.9 percent in rural areas) on an annual basis <sup>9</sup> [^9: World Bank Food Security Updates of October 27, 2022, page 13] affecting the\npurchasing power of most Rwandans more, especially poor households.\n\n\nSectoral and Institutional Context\n\n3. **The agriculture sector is at\n\nMention: \"GDP National Accounts\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National accounts showing real GDP fell 3.4 percent in 2020.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003970:3:0", "occurrence_id": "cac55b613ca66fc056b90d0f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSUSTAINABLE AGRICULTURAL INTENSIFICATION AND FOOD SECURITY PROJECT II (P181077)\n\n\n**2.** **However, the recent outbreak of Corona Virus-19 (COVID-19) pandemic pushed Rwanda’s economy into its first**\n**contraction since 1994 and the country is since on a slower growth trajectory, faced by multiple challenges.** The GDP in\nreal terms dropped to -3.4 percent in 2020, compared to an expansion of 8 percent anticipated before the COVID-19\noutbreak <sup>5</sup> [^5: GDP National Accounts, 2020, page 6] . In comparison with 2018, the food security situation in Rwanda deteriorated by 2 percent <sup>6</sup> [^6: Comprehensive Food Security & Vulnerability Analysis, CFSVA, 2021, page vi] . The current global\nfood, fuel, and fertilizer prices, driven in large part by the fallout from the ongoing war in Ukraine and the sanctions\nimposed on Russia <sup>7</sup> [^7: Rwanda: Impacts of the Ukraine and global crises on poverty and food security), page i] has negatively impacted Rwanda’s recovery and led to dramatic price increases. Driven by increasing\nfuel and fertilizer prices in combination with a poor growing season Rwanda is currently experiencing the 7th highest food\ninflation in the world <sup>8</sup> [^8: Consumer Price Index, NISR, May 2023, page 1] . Overall inflation increased, mostly driven by the drastic rise in food crop prices. The Consumer Price\nIndex (CPI) since April 2022 increased by 28.4 percent (35.9 percent in rural areas) on an annual basis <sup>9</sup> [^9: World Bank Food Security Updates of October 27, 2022, page 13] affecting the\npurchasing power of most Rwandans more, especially poor households.\n\n\nSectoral and Institutional Context\n\n3. **The agriculture sector is at\n\nMention: \"Consumer Price Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"CPI up 28.4 percent annually since April 2022, 35.9 percent in rural areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004006:12:2", "occurrence_id": "e69dbfb3b8c7672fe4b6af48", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  IPF policy requirements if the Bank deems the Borrower to be in urgent need of assistance because of a\ndisaster or experiences capacity constraints because of fragility or specific vulnerabilities as is the case in Ukraine.\n\n\n**B. Sectoral and Institutional Context**\n\n\n**_Housing sector damage and needs_**\n\n7. **According to RDNA2 estimates, the housing sector was the most affected in terms of cost of damage,** with twothirds of residential buildings impacted by Russia’s invasion of Ukraine, considered partially damaged and repairable. As\nof February 2023, the total damage cost to the housing sector is estimated to be over US$50 billion, increasing by around\n70 percent from June 2022. Russia’s invasion of Ukraine is estimated to have impacted about 1.4 million residential units\n(7 percent of total residential unit’s stock), directly affecting approximately 3.5 million residents of the country. Nearly 87\npercent of housing units damaged were in multi-family buildings (MFB) and four out of five damaged units were in urban\nareas. <sup>15</sup> Two-thirds of the total damaged residential stock consisted of partially damaged units <sup>16</sup> with an estimated cost of\n\n\n12 The needs – estimated for the next decade – consider inflation, market conditions, surge pricing in areas of mass construction, higher insurance premiums, and a shift in the future towards\nlower energy intensity and more resilient, inclusive, and modern design.\n13 The first Ukraine Rapid Damage and Needs assessment (RDNA1) was published in September 2022 and covered the period between February 24, 2022, to June 1, 2022. RDNA1 was led by\nthe GoU, the World Bank Group (WBG), and the European Commission (EC). Subsequent RDNA update (henceforth referred to as RDNA2) was commissioned and published in March 2023,\ncovering\n\nMention: \"RDNA2 estimates\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimates two-thirds of residential buildings impacted, giving the housing damage total.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004006:12:2", "occurrence_id": "6d30969ebd203b67a912799e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  IPF policy requirements if the Bank deems the Borrower to be in urgent need of assistance because of a\ndisaster or experiences capacity constraints because of fragility or specific vulnerabilities as is the case in Ukraine.\n\n\n**B. Sectoral and Institutional Context**\n\n\n**_Housing sector damage and needs_**\n\n7. **According to RDNA2 estimates, the housing sector was the most affected in terms of cost of damage,** with twothirds of residential buildings impacted by Russia’s invasion of Ukraine, considered partially damaged and repairable. As\nof February 2023, the total damage cost to the housing sector is estimated to be over US$50 billion, increasing by around\n70 percent from June 2022. Russia’s invasion of Ukraine is estimated to have impacted about 1.4 million residential units\n(7 percent of total residential unit’s stock), directly affecting approximately 3.5 million residents of the country. Nearly 87\npercent of housing units damaged were in multi-family buildings (MFB) and four out of five damaged units were in urban\nareas. <sup>15</sup> Two-thirds of the total damaged residential stock consisted of partially damaged units <sup>16</sup> with an estimated cost of\n\n\n12 The needs – estimated for the next decade – consider inflation, market conditions, surge pricing in areas of mass construction, higher insurance premiums, and a shift in the future towards\nlower energy intensity and more resilient, inclusive, and modern design.\n13 The first Ukraine Rapid Damage and Needs assessment (RDNA1) was published in September 2022 and covered the period between February 24, 2022, to June 1, 2022. RDNA1 was led by\nthe GoU, the World Bank Group (WBG), and the European Commission (EC). Subsequent RDNA update (henceforth referred to as RDNA2) was commissioned and published in March 2023,\ncovering\n\nMention: \"Ukraine Rapid Damage and Needs assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"First assessment led jointly by government, Bank and Commission, defining the damage baseline.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003988:3:0", "occurrence_id": "1ecb8ca3d5556f630584b649", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAdditional Financing to West Africa Food Systems Resilience Program, Phase 1 (P181139)\n\n\nSectoral and Institutional Context\n\n**3.** **Togo’s food and nutrition security situation has significantly worsened over the past few years** . According\nto Cadre Harmonisé analyses, 487,319 individuals (7 percent of the population) face Integrated Food Security\nPhase Classification (IPC) 3+ crisis or emergency level food insecurity, and 1,344,729 people (19 percent of\nthe population) are at risk of falling into a food crisis (IPC 2) between June and September 2023. Over the\nsame period in 2022 and 2021, the incidence of food insecurity was much lower, with 390,000 people and\n200,000 people, respectively, experiencing crisis levels of food insecurity (IPC 3+). <sup>3</sup> [^3: https://www.food-security.net/datas/togo/] Trends related to the\npopulation’s nutrition are equally alarming. The food and nutrition security survey carried out in September\n2022 showed that the nutritional situation is particularly critical in the country's northern regions, notably in\nthe Kara and Savanes where 73.5 percent of women were found to consume less than three of the five\nrecommended food groups. According to the Cadre Harmonisé analyses from November 2022, there is an\nupward trend in the number of children admitted to Nutritional Recovery and Education Centers, rising from\n28 percent in 2021 to 35 percent in 2022.\n\n\n**4.** **The recent rise in food and nutrition insecurity stems from food supply gaps driven by a combination of**\n**longer-term trends and recent shocks.** First, productivity of the mainly rain-fed agricultural sector has\nremained stagnant over the past years amid continued food demand growth and growing climate change\nimpacts. More irregular rainy seasons, along with more frequent drought spells and rising temperatures\nincreasingly affect crop yields, especially in the\n\nMention: \"food and nutrition security survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"September 2022 survey showing 73.5 percent of women in Kara and Savanes consume fewer than three food groups.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004006:13:3", "occurrence_id": "40987af849702ce66aa510af", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to face the demands of housing**\n**reconstruction and recovery** . Current housing regulations are scattered among various laws and resolutions and require\nrevising and consolidating in an overarching housing policy oriented toward EU regulations. Building regulations in Ukraine\nhave been transitioning since the Soviet era, with methods of proscriptive construction and institutional centralization\nevolving, although gradually, to becoming more liberal, flexible, and decentralized. <sup>18</sup> [^18: The Law of Ukraine \"On Construction Regulations\" No. 1704-VI was adopted in 2009 to regulate construction and determine the legal framework for designing and approval of construction.] However, further modernization of\nthe housing policy, property rights, building regulatory framework, and urban development is needed.\n\n14. **Private ownership is the dominant tenure form in Ukraine.** Ukraine had a total of around 18 million housing units\nprior to Russia’s invasion of Ukraine. MFBs are predominant in urban areas and cater to almost 67 percent of the urban\npopulation. In larger cities, this share increases to 79 percent. MFBs, primarily built during the Soviet period, have often\nexceeded their design lifespan, are energy inefficient and suffer from deferred maintenance and repairs. Almost 94\npercent of the housing is privately owned, although ownership rights are not systematically included in the State Registry\nof Rights for Real Estate (eRegistry), which was established in 2015 and only after privatization had been largely completed.\nAs of 2013, only 3.4 percent of households were officially considered renters, although an additional 10-15 percent likely\n\n\n17 [International Organization for Migration (IOM), February 16, 2023. DTM Ukraine Returns Report - (16 - 23 January 2023). IOM, Ukraine. Available at https://dtm.iom.int/reports/ukraine-](https://dtm.iom.int/reports/ukraine-returns-report-16-23-january-2023)\n<u>[returns-report-16-23-january-2023](https://dt\n\nMention: \"DTM Ukraine Returns Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Returns tracking informing the displacement and housing-recovery picture.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004010:3:2", "occurrence_id": "2201c961ea21ecbbdc03ed43", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Reliable power is critical to Botswana’s sustainable development and GoB is stepping up efforts in rehabilitation of**\n**general transmission and distribution infrastructure.** The Botswana Power Corporation (BPC) network extends over\nlong distances which results in high transmission and distribution losses at a system average of 15.35percent <sup>8</sup> [^8: BPC Annual Report 2022. https://www.bpc.bw/about-bpc/annual-reports] as of\n2021. Furthermore, the current power deficit in the region has had a huge impact on villages along the borders which\nhave traditionally been serviced from cross-border supply. The major load shedding issues currently widespread in\nSouth Africa, is impacting the level of service in these bordering villages on the Botswana side. Since 2019, BPC has\ninitiated multiple programs to enhance the Transmission and Distribution (T&D) network performance in terms of\nreliability, security, quality of supply and ability to cope with the load growth. Despite the ongoing efforts, power\n\n\n3 Botswana Poverty and Equity Brief April 2024, https://www.worldbank.org/en/topic/poverty/publication/poverty-and-equity-briefs\n4 Ibid\n5 World Economic Forum (WEF). 2022. Global Gender Gap Index. Available at: <u>[https://www3.weforum.org/docs/WEF_GGGR_2022.pdf](https://www3.weforum.org/docs/WEF_GGGR_2022.pdf)</u>\n\n6 Think Hazard. Available here: <u><mark>ht</mark></u> t <u><mark>[ps://thinkhazard.org/en/report/35-botswana](https://thinkhazard.org/en/report/35-botswana)</mark></u>\n7 IMF Article IV, 2019.\n8 BPC Annual Report 2022. https:\n\nMention: \"Global Gender Gap Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Composite index cited with URL for the country's gender gap ranking.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004010:5:2", "occurrence_id": "88cea560f6260a045f943d62", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a suit of investments. Given the significant VRE\ncommitments made under the IRP and Botswana’s goal to move from net importer to net exporter, strengthening the\nnational grid and enabling the integration and management of VRE is a key priority for the country. The Project is\nexpected to enable BPC to integrate and manage the first pipeline of RE projects under development and construction\nthrough timely critical investments in order to manage their variability and dispatchability. Moreover, the country’s\nfirst 50MW utility-owned BESS to be financed under the project is expected to lay the foundation leading to a\nsignificant pipeline of BESS in the country to integrate VRE. In addition, the Project will support the GoB to expedite\nits electrification program by improving reliability of electricity supply and strengthening the grid in the villages of\n\n\n14 SDG7 progress report 2023, https://trackingsdg7.esmap.org/downloads\n15  World Bank Open Data, https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS?locations=BW\n16 https://www.bpc.bw/national-electricity-standard-connection\n17 2024 BUDGET SPEECH, Minister of Finance, Delivered to the National Assembly, 5th February 2024\n\n\nPage 5\n\nMention: \"SDG7 progress report 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Global tracking report supplying the energy access baselines.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004010:5:2", "occurrence_id": "cebfab5a576f92c99ee3ede6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  a suit of investments. Given the significant VRE\ncommitments made under the IRP and Botswana’s goal to move from net importer to net exporter, strengthening the\nnational grid and enabling the integration and management of VRE is a key priority for the country. The Project is\nexpected to enable BPC to integrate and manage the first pipeline of RE projects under development and construction\nthrough timely critical investments in order to manage their variability and dispatchability. Moreover, the country’s\nfirst 50MW utility-owned BESS to be financed under the project is expected to lay the foundation leading to a\nsignificant pipeline of BESS in the country to integrate VRE. In addition, the Project will support the GoB to expedite\nits electrification program by improving reliability of electricity supply and strengthening the grid in the villages of\n\n\n14 SDG7 progress report 2023, https://trackingsdg7.esmap.org/downloads\n15  World Bank Open Data, https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS?locations=BW\n16 https://www.bpc.bw/national-electricity-standard-connection\n17 2024 BUDGET SPEECH, Minister of Finance, Delivered to the National Assembly, 5th February 2024\n\n\nPage 5\n\nMention: \"World Bank Open Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Specific electricity access indicator cited by its data.worldbank.org URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004010:4:2", "occurrence_id": "d0f635a1e37a5149f012c7f0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  perspective especially with projected excess power** . There are already\nsignificant exchanges of electricity in place supported by existing interconnectors with neighboring countries.\nMoreover, Botswana is a key partner in the Mega Solar Initiative, a partnership between the Governments of\nBotswana and Namibia, the African Development Bank (AfdB), the World Bank, the International Finance Corporation\n(IFC) and the African Union Development Agency-New Partnership for Africa’s Development developed under USAID’s\nPower Africa initiative. The Mega Solar initiative is expected to support large scale additions of dispatchable solar\ncapacity in Botswana and Namibia to support domestic and regional demand for electricity.\n\n\n9 Majority of domestic generation and imports is coal based in 2021. Diesel source contributed 2.5 percent to emergency generation.\n10 BPC Annual Report, 2021\n11 _Generation and Distribution, STATS BRIEF, Statistics Botswana._\n12account for 38 percent of total supply, _Generation and Distribution, STATS BRIEF, Statistics Botswana_\n13 https://www.bera.co.bw/downloads/Nationalpercent20Energypercent20Policypercent20Finalpercent20Aprilpercent202021.pdf\n\n\nPage 4\n\nMention: \"Statistics Botswana\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National statistics agency brief on generation and distribution behind the supply shares.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004011:2:1", "occurrence_id": "2a7885c9d52409d6d4e5e692", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: MIC countries, Botswana's poverty rates remain high, and while declines were experienced in the early 2000s,\nthe poverty rates have increased in recent years, exacerbated by the COVID pandemic <sup>1</sup> . Mostly prevalent in rural\nareas among female-headed households and those with low levels of education. Botswana has faced structural\nchallenges and slow growth since 2015 and is vulnerable to external shocks, particularly because it is largely\ndependent on a single commodity. A sustained reduction in poverty and inequality will require progress on\ndiversification and a focus on private-sector job creation. Social interventions will need to continue to support the\nmost vulnerable members of society.\n\n4. **The COVID-19 pandemic has exacerbated the vulnerabilities of Botswana’s public investment and diamond-reliant**\n**growth model and has added pressure to replace lost jobs and build a more resilient economy.** Despite strong fiscal\nbuffer, Botswana’s economy saw a 8.5 percent contraction of GDP in 2020 during the COVID-19 pandemic <sup>2</sup> and\n\n\n1 Estimates suggest poverty increased during the COVID-19 pandemic to 64.7 percent under the UMIC line (US$6.85 per person per day).\n2 GDP numbers used are from the World Bank's World Development Indicators: https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=BW\n\n\nOct 12, 2023 Page 3 of 8\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"GDP growth series cited with its indicator URL for the macro context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003970:5:2", "occurrence_id": "053c195614e4ec77d874361f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  increasing productivity.\n\n8. **The US$32.29 million SAIP I has, since it was approved in 2018 successfully addressed many of the obstacles to**\n**the GoR’s priorities and generated substantial results which the GoR intends to scale-up in current sites and scale out**\n**to new project areas to impact more beneficiaries.** The objective of SAIP I is _to increase agricultural productivity, market_\n_access, and food security of the targeted beneficiaries in the project areas._ The project finances technical assistance (TA)\nto cooperatives, Producer-Based Organizations (PBOs), WUAs, and small and medium scale agro-enterprises (agro-SMEs),\nand direct investments in on-farm and post-harvest technology. It is being implemented in nine of Rwanda’s 30 districts\nand has already achieved significant outcomes. As of September 1, 2023, it has reached 44,104 households (96.5 percent\nof the end of project target), including 19,769 females, grouped into 18 cooperatives and 2,127 PBOs. The productivity of\n\n\n22 WFP Comprehensive Food security and Vulnerability Analysis (CFSVA, 2021)\n23 Food Prices for Nutrition Database\n24 <u>[Rwanda 2019-20 Demographic and Health Survey, Summary report](https://statistics.gov.rw/publication/1724)</u>\n[25 The Food Systems Dashboard Rwanda Country Profile (https://www.foodsystemsdashboard.org/countries/rwa, accessed July 11, 2023)](https://www.foodsystemsdashboard.org/countries/rwa)\n\n\nNov 01, 2023 Page 6 of 11\n\nMention: \"WFP Comprehensive Food security and Vulnerability Analysis\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Analysis behind the food security deterioration since 2018.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003970:5:2", "occurrence_id": "bd6fe91d965c970b5b5f24f7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  increasing productivity.\n\n8. **The US$32.29 million SAIP I has, since it was approved in 2018 successfully addressed many of the obstacles to**\n**the GoR’s priorities and generated substantial results which the GoR intends to scale-up in current sites and scale out**\n**to new project areas to impact more beneficiaries.** The objective of SAIP I is _to increase agricultural productivity, market_\n_access, and food security of the targeted beneficiaries in the project areas._ The project finances technical assistance (TA)\nto cooperatives, Producer-Based Organizations (PBOs), WUAs, and small and medium scale agro-enterprises (agro-SMEs),\nand direct investments in on-farm and post-harvest technology. It is being implemented in nine of Rwanda’s 30 districts\nand has already achieved significant outcomes. As of September 1, 2023, it has reached 44,104 households (96.5 percent\nof the end of project target), including 19,769 females, grouped into 18 cooperatives and 2,127 PBOs. The productivity of\n\n\n22 WFP Comprehensive Food security and Vulnerability Analysis (CFSVA, 2021)\n23 Food Prices for Nutrition Database\n24 <u>[Rwanda 2019-20 Demographic and Health Survey, Summary report](https://statistics.gov.rw/publication/1724)</u>\n[25 The Food Systems Dashboard Rwanda Country Profile (https://www.foodsystemsdashboard.org/countries/rwa, accessed July 11, 2023)](https://www.foodsystemsdashboard.org/countries/rwa)\n\n\nNov 01, 2023 Page 6 of 11\n\nMention: \"Food Prices for Nutrition Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Price database used to assess affordability of a nutritious diet.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:003970:5:2", "occurrence_id": "d150ba45f99c77e48d799fdd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  increasing productivity.\n\n8. **The US$32.29 million SAIP I has, since it was approved in 2018 successfully addressed many of the obstacles to**\n**the GoR’s priorities and generated substantial results which the GoR intends to scale-up in current sites and scale out**\n**to new project areas to impact more beneficiaries.** The objective of SAIP I is _to increase agricultural productivity, market_\n_access, and food security of the targeted beneficiaries in the project areas._ The project finances technical assistance (TA)\nto cooperatives, Producer-Based Organizations (PBOs), WUAs, and small and medium scale agro-enterprises (agro-SMEs),\nand direct investments in on-farm and post-harvest technology. It is being implemented in nine of Rwanda’s 30 districts\nand has already achieved significant outcomes. As of September 1, 2023, it has reached 44,104 households (96.5 percent\nof the end of project target), including 19,769 females, grouped into 18 cooperatives and 2,127 PBOs. The productivity of\n\n\n22 WFP Comprehensive Food security and Vulnerability Analysis (CFSVA, 2021)\n23 Food Prices for Nutrition Database\n24 <u>[Rwanda 2019-20 Demographic and Health Survey, Summary report](https://statistics.gov.rw/publication/1724)</u>\n[25 The Food Systems Dashboard Rwanda Country Profile (https://www.foodsystemsdashboard.org/countries/rwa, accessed July 11, 2023)](https://www.foodsystemsdashboard.org/countries/rwa)\n\n\nNov 01, 2023 Page 6 of 11\n\nMention: \"Rwanda 2019-20 Demographic and Health Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"DHS summary report cited with URL for human development indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004018:12:1", "occurrence_id": "7cd7602871ecab8cdc6193a7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ** This will include the following: (a) project management, including technical planning, financial\nmanagement (FM) and augmented auditing, procurement, environment and social (E&S) risk management,\nimplementation of a GBV, sexual exploitation and abuse and sexual harassment (SEA/SH) action plan, security analyses\nand response plans, and communication plans; (b) project monitoring which includes a Geo-Enabled Monitoring System\n(GEMS) and beneficiary feedback/grievance redress mechanism (GRM), including a specialized GRM for cases of SEA/SH;\n(c) impact evaluation; (d) continuous conflict analyses; (e) just-in-time studies as and when needs arise; (f) financing for\nthird-party monitoring as required by the security conditions; and (g) Federal Project Management Unit (FPMU)\noperating costs. The detailed steps and procedures entailed under project management will be elaborated in the PIM.\n\n**20.** **The component will also allocate $2 million to finance activities that support the FGN’s efforts to**\n**operationalize the National IDP Policy, including:** (a) TA to facilitate overall programmatic and policy coordination\nbetween federal, state, and local governments, (b) financial and technical support to address the data gaps concerning\nIDPs, including women, persons with disabilities and other vulnerable groups, and (c) financial and technical support to\ncarry out a registration and profiling process of IDPs including conducting the displacement surveys elaborated in the\nPIM and building a spatial database for IDPs in all northern states that identify IDPs as one of their key development\nchallenges. States will finance the state level work while the project will finance the coordination of the states’ efforts\nand the development of a national database. Addressing the data gap on displacement-related vulnerabilities in the\n\n\n39 Measures may include diversification from flood prone locations and agriculture areas, improving drainage\n\nMention: \"displacement surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Surveys to address IDP data gaps and build a spatial database across northern states.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004011:3:2", "occurrence_id": "541e048d1bdf7a1c693f25e4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  25 percent. 450 out of the 565 gazetted settlements were electrified as of May 2022. In urban areas, access\nis substantially higher (93.1 percent in 2021).\n\n8. **Off-grid solar** <sup>**9**</sup> **to support Botswana address challenges in delivering modern energy access and services to distant**\n**rural and sparsely populated areas with low demand and high grid connection costs.** Approximately 250,000\nhouseholds <sup>10</sup> are currently without grid connections, with grid access particularly low in the northwest region.\nGrowing evidence shows that decentralized RE solutions can create value locally for electricity access, employment,\n\n\n3 ILO Estimate. Accessed from World Development Indicators at https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS?locations=BW\n4 World Bank Open data. https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=BW\n5 World Economic Forum (WEF). 2020. Global Gender Gap Index\n6 <u><mark>[https://thinkhazard.org/en/report/35-botswana](https://thinkhazard.org/en/report/35-botswana)</mark></u>\n7 IMF Article IV, 2019.\n8 https://unfccc.int/sites/default/files/resource/BOTSWANA%20THIRD%20NATIONAL%20COMUNICATION%20FINAL%20.pdf\n9 Informed by WB report “Botswana Off-Grid Solar Action Plan” (2018)\n10 As of March 2023 246,689 households lacked access to electricity based on the most rescent census.\n\n\nOct 12, 2023 Page 4 of 8\n\nMention: \"ILO Estimate\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Unemployment estimate accessed through WDI for the country series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004011:3:2", "occurrence_id": "81c8737d5a8547bd92b4e582", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  25 percent. 450 out of the 565 gazetted settlements were electrified as of May 2022. In urban areas, access\nis substantially higher (93.1 percent in 2021).\n\n8. **Off-grid solar** <sup>**9**</sup> **to support Botswana address challenges in delivering modern energy access and services to distant**\n**rural and sparsely populated areas with low demand and high grid connection costs.** Approximately 250,000\nhouseholds <sup>10</sup> are currently without grid connections, with grid access particularly low in the northwest region.\nGrowing evidence shows that decentralized RE solutions can create value locally for electricity access, employment,\n\n\n3 ILO Estimate. Accessed from World Development Indicators at https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS?locations=BW\n4 World Bank Open data. https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=BW\n5 World Economic Forum (WEF). 2020. Global Gender Gap Index\n6 <u><mark>[https://thinkhazard.org/en/report/35-botswana](https://thinkhazard.org/en/report/35-botswana)</mark></u>\n7 IMF Article IV, 2019.\n8 https://unfccc.int/sites/default/files/resource/BOTSWANA%20THIRD%20NATIONAL%20COMUNICATION%20FINAL%20.pdf\n9 Informed by WB report “Botswana Off-Grid Solar Action Plan” (2018)\n10 As of March 2023 246,689 households lacked access to electricity based on the most rescent census.\n\n\nOct 12, 2023 Page 4 of 8\n\nMention: \"World Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The access route for the ILO estimate, cited by indicator code.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004011:3:2", "occurrence_id": "054c9f638a4d33991f111dd0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  25 percent. 450 out of the 565 gazetted settlements were electrified as of May 2022. In urban areas, access\nis substantially higher (93.1 percent in 2021).\n\n8. **Off-grid solar** <sup>**9**</sup> **to support Botswana address challenges in delivering modern energy access and services to distant**\n**rural and sparsely populated areas with low demand and high grid connection costs.** Approximately 250,000\nhouseholds <sup>10</sup> are currently without grid connections, with grid access particularly low in the northwest region.\nGrowing evidence shows that decentralized RE solutions can create value locally for electricity access, employment,\n\n\n3 ILO Estimate. Accessed from World Development Indicators at https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS?locations=BW\n4 World Bank Open data. https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=BW\n5 World Economic Forum (WEF). 2020. Global Gender Gap Index\n6 <u><mark>[https://thinkhazard.org/en/report/35-botswana](https://thinkhazard.org/en/report/35-botswana)</mark></u>\n7 IMF Article IV, 2019.\n8 https://unfccc.int/sites/default/files/resource/BOTSWANA%20THIRD%20NATIONAL%20COMUNICATION%20FINAL%20.pdf\n9 Informed by WB report “Botswana Off-Grid Solar Action Plan” (2018)\n10 As of March 2023 246,689 households lacked access to electricity based on the most rescent census.\n\n\nOct 12, 2023 Page 4 of 8\n\nMention: \"World Bank Open data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"GDP growth indicator cited by its data URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004018:7:0", "occurrence_id": "4278884f1a8f61fcf59ad44e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSolutions for the Internally Displaced and Host Communities Project (P181248)\n\n\nexample, climate-resilient infrastructure and adaptive livelihoods). Gender dimensions and citizen engagement are also\nintegrated, as discussed in the next sections.\n\n_Figure 2. Theory of Change_\n\n\n**C. Project Beneficiaries**\n\n**9.** The proposed project will target selected participating Northern states with the highest number of IDPs. Within\nthe states, investments will target selected displacement-affected communities at the LGA and ward levels. <sup>18</sup> Project\nbeneficiaries will be inclusive of IDPs and local residents, with special attention paid to women and youth. The IOMDisplacement Tracking Matrix (DTM) data will be considered to select the target LGAs, wards, and communities. <sup>19</sup> [^19: The IOM-DTM represents the largest source of primary data on internal displacement in the world. For Nigeria, the DTM provides\ndata on the number of IDPs at the state, LGA, ward and location level, their shelter type, the period of displacement, areas of origin\nfor IDPs and areas of last displacement for returnees. IOM-DTM data are estimates obtained through key informant interviews,\ndirect observation and direct interviews. To ensure the accuracy and reliability of the estimates, data collection is performed at the\nlowest administrative level: the site or the host community. Comprehensive displacement data collection is limited by several factors,\nincluding insecurity, which limits the field teams' access to some locations with returnees and IDPs, transportation of remote and\nhard-to-reach areas, restricted accessibility of some locations due to heavy rains and flooding, and reluctance from IDPs to cooperate\nwith the surveys as data is collected regularly and assistance is limited.] As\n\n\n18 It is not the intent of the proposed project to expand to additional areas within the selected states in a later phase.\n19 The IOM-DTM represents the largest source of primary data on internal displacement in the world. For Nigeria, the DTM provides\ndata on the number of IDPs\n\nMention: \"IOMDisplacement Tracking Matrix\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"DTM data used to select target LGAs, wards and communities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004018:7:0", "occurrence_id": "59423cbe2fba9b42c5b88948", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSolutions for the Internally Displaced and Host Communities Project (P181248)\n\n\nexample, climate-resilient infrastructure and adaptive livelihoods). Gender dimensions and citizen engagement are also\nintegrated, as discussed in the next sections.\n\n_Figure 2. Theory of Change_\n\n\n**C. Project Beneficiaries**\n\n**9.** The proposed project will target selected participating Northern states with the highest number of IDPs. Within\nthe states, investments will target selected displacement-affected communities at the LGA and ward levels. <sup>18</sup> Project\nbeneficiaries will be inclusive of IDPs and local residents, with special attention paid to women and youth. The IOMDisplacement Tracking Matrix (DTM) data will be considered to select the target LGAs, wards, and communities. <sup>19</sup> [^19: The IOM-DTM represents the largest source of primary data on internal displacement in the world. For Nigeria, the DTM provides\ndata on the number of IDPs at the state, LGA, ward and location level, their shelter type, the period of displacement, areas of origin\nfor IDPs and areas of last displacement for returnees. IOM-DTM data are estimates obtained through key informant interviews,\ndirect observation and direct interviews. To ensure the accuracy and reliability of the estimates, data collection is performed at the\nlowest administrative level: the site or the host community. Comprehensive displacement data collection is limited by several factors,\nincluding insecurity, which limits the field teams' access to some locations with returnees and IDPs, transportation of remote and\nhard-to-reach areas, restricted accessibility of some locations due to heavy rains and flooding, and reluctance from IDPs to cooperate\nwith the surveys as data is collected regularly and assistance is limited.] As\n\n\n18 It is not the intent of the proposed project to expand to additional areas within the selected states in a later phase.\n19 The IOM-DTM represents the largest source of primary data on internal displacement in the world. For Nigeria, the DTM provides\ndata on the number of IDPs\n\nMention: \"IOM-DTM\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Described as the largest primary source on internal displacement, down to ward level.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004028:2:1", "occurrence_id": "6cb178aaccc35ca793867a94", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (GoP) remains committed to transition to a decarbonized economy and strengthen CC**\n**adaptation.** This is particularly important since in the absence of Climate Change (CC) mitigation actions, Peru’s\ndevelopment will lead to a significant increase of its contribution to global greenhouse gas (GHG) emissions by 2050. <sup>2</sup> [^2: Net emissions from the energy, transport, land use, land-use change, and forestry (LULUCF) sectors expected to increase by 83 percent over the next 30 years. World\nBank staff calculations using the World Bank Macro-Fiscal Model (MFMoD) with climate change module.] In\naddition, close to half of the national territory is classified as having high to very high vulnerability to natural hazards, <sup>3</sup> [^3: MINAM (Ministerio del Ambiente). 2016. El Perú y el Cambio Climático: Tercera Comunicación Nacional del Perú a la Convención Marco de las Naciones Unidas\nsobre Cambio Climático (Peru and Climate Change: Third National Communication of Peru to the United Nations Framework Convention on Climate Change).]\nwhich are expected to increase in frequency, severity, and impact due to CC. In the last two decades, the economic losses\nlinked to natural events reached more than US$ 4 billion dollars with the damages caused by ENSO exceeding US$ 3.1\nbillion, equivalent to 1.6 percent of the country’s GDP in 2017. <sup>4,5</sup> [^4: RPP Noticias. 2017. “El Niño costero: Daños ya suman $3,124 millones según Macroconsult” (March 24).] [^5: World Bank. 2022. Peru Country Climate and Development Report.] Recognizing the challenge, in 2020, Peru reinforced its\nclimate commitments with the updated NDC, which was followed by the adoption of the Law on Climate Change (Law No.\n30754, 2021). The country’s Strategic Plan\n\nMention: \"Macroconsult\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Private consultancy estimate of El Niño damages reported in the press.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004088:58:2", "occurrence_id": "ccce074d2b60813007a3db4d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: variability-historical](https://climateknowledgeportal.worldbank.org/country/turkiye/trends-variability-historical)\n50 Under a high emissions scenario, a projected increase of 2.7°C in mean annual temperature and a 3 percent decrease in precipitation by 2050 could have\ndetrimental effects on agricultural activities. A temperature rises of 2°C would likely result in a 58 percent increase in agricultural drought frequency and a 2 percent\nextension in drought duration.\n[51 https://thinkhazard.org/en/report/249-turkey/](https://thinkhazard.org/en/report/249-turkey/)\n52 Farmer Registry System 2019\n\n\n46\n\nMention: \"Farmer Registry System 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"National farm registry cited as the source for agricultural structure statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004102:41:1", "occurrence_id": "930ac76e6d9cbd469d504742", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . These studies would help the World Bank and IAs further\nunderstand the effects of project activities and the local dynamics that may be helping or hindering efforts to\nstrengthen resilience among project beneficiaries. This knowledge would in turn be used for possible adaptations\nto the current project or for future programming. This work would also be financed under the JSDF Bank-executed\nTrust Fund.\n\n**_Lessons learned_**\n\n\n5. **The project will seek to generate operational learning in areas such as:** the mix and scope of interventions,\nlinkages between emergency and medium-term sustainable development support, good/best practices in\nreaching/operating in remote and conflict-affected areas, maintaining neutrality while engaging in deeply\ndivided/politically estranged contexts, successes and challenges at integrating gender aspects in design and\nimplementation, and World Bank – FAO / WFP/ ICRC relations. These lessons will inform any future scaling up of\noperations in Myanmar and will be useful for other FCV contexts working on humanitarian-development nexus\nissues with IAs.\n\n\n6. **A range of data sources will be used including routine (quarterly) project progress reports**, data made available\nfrom by IAs (including Grievance Redress System data), Enhanced Supervision Support reports, reports from the\nconsultants who will conduct the monitoring, evaluation, and lessons learned work, and conflict mapping data.\n\n\nPage 32\n\nMention: \"conflict mapping data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Conflict data combined with implementation reports to interpret project effects.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004088:62:2", "occurrence_id": "8ea67d3ef315567c3cc9512a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |-3,917,927|-195,896|Improved grasslands in 240,000 ha initial status<br>high intensity grazing lands and continuing like<br>this without project. With project increase<br>grassland carry capacity preventing degradation.<br>Drainage and other civil works to rehabilitate<br>severe degraded grasslands 60,000 ha to non-<br>degraded status. Enteric fermentation methane<br>emission factor adjusted according to values<br>proposed in the Türkiye resilient and net zero<br>development pathway assessment.|\n|**TOTAL**|**237**|**22,654,163**|**17,613,283**|**-4,950,880**|**-247,554**||\n\n\n_/ - = Sink_\n\n\n57 Refer to the technical report and Ex-Act files for more technical details.\n58 Based on data for fuel uses for farm operation source: Downs, H.W. and Hansen, R.W., Estimating Farm Fuel Requirements no. 5.006, 2006. Colorado State\nUniversity.\n59 Low Carbon Pathways Towards 2053 Modeling Exercise for the AFOLU sector commissioned by the World Bank in Türkiye, which assumes improvements in\nenteric fermentation and manure management.\n\n\n\n50\n\nMention: \"data for fuel uses for farm operation source\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Academic method for estimating farm fuel requirements behind the emissions calculation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004067:3:0", "occurrence_id": "f4633e24741e94fb9f5615f8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBangladesh Climate and Carbon Finance for Renewable Energy (P181384)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n1. **Bangladesh experienced rapid social and economic progress in recent decades, reaching lower middle-income**\n**status in 2015.** Stable macroeconomic conditions drove 6.4 percent average annual real GDP growth between 2010 and\n2022. Over the same period, poverty and extreme poverty declined by 19.6 and 6.8 percentage points to 30 percent and\n5 percent, respectively. <sup>1</sup> [^1: Based on the international poverty line of US$ 3.65 and US$ 2.15 per day (using 2017 purchasing power parity) for poverty and extreme poverty,\nrespectively.] However, the pace of poverty reduction has slowed, and urban inequality has widened.\nAccording to Bangladesh’s Household Income and Expenditure Survey, income poverty at the national level has\ndecreased by 5.6 percentage points during the period 2013-2022, as compared to 7.2 percentage points in the period\n2010-2016. Moreover, poverty has decreased at a lower rate in urban areas (4.2 percentage points), compared to rural\nareas (5.9 percentage points) <sup>2</sup> [^2: <u>[Ministry of Finance (2023) Bangladesh Economic Review 2023.](https://mof.portal.gov.bd/sites/default/files/files/mof.portal.gov.bd/page/f2d8fabb_29c1_423a_9d37_cdb500260002/Chapter-13%20%28English-2023%29.pdf)</u>] .\n\n2. **Bangladesh navigated the COVID-19 pandemic shock with prudent macroeconomic policies but now faces a**\n**significant balance of payments (BoP) deficit and rising inflationary pressure.** Elevated commodity prices and\nsynchronous global monetary policy tightening contributed to a widening BoP deficit and a sharp decline in foreign\nexchange (FX) reserves from the\n\nMention: \"Household Income and Expenditure Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows income poverty fell 5.6 points in 2013-22 versus 7.2 in 2010-16.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004018:15:1", "occurrence_id": "41c13f5127d9ed5e04fe5098", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: </sup> - and six states quality for\nTier 2 - Kaduna, Taraba, Nasarawa, Sokoto, Plateau, and Gombe. <sup>44</sup> Tier 1 states must meet Demonstrated Commitment,\nImplementation Readiness and Disbursement Readiness criteria (together referred as ‘Tier 1 eligibility criteria’) with\nannual reviews of fulfillment of the criteria throughout the duration of the project to ensure compliance. A Tier 1 state’s\nfailure to fulfill the Tier 1 eligibility criteria will result in its exit from the project. Based on the results of the IDP survey\nconducted in Component 3, a Tier 2 state may be eligible to move to Tier 1 and/or a state that did not qualify for either\ntier at the beginning of the project may become eligible to enter the project. However, opportunities are limited\nconsidering the current number of IDPs in Tier 2 states (only one state has the chance of transitioning based on the new\ncount of IDPs). <sup>45</sup>\n\n\n\n\n\n43 All six states have submitted a letter expressing interest in joining SOLID and were invited to submit documentation illustrating their\nfulfillment of the Demonstrated Commitment Criteria. The FMBEP and World Bank will use the documentation to jointly assess each\nstate’s eligibility\n44 All six states attended the consultation workshop and expressed interest verbally. These states will be invited to submit a letter of\nexpression of interest in receiving TA.\n45 There is only one state (Bauchi) that currently does not meet the threshold of having an IDP share of the total population at greater\nthan 1% but is close (0.91% according to IOM data). The IDP survey in Component 3 will validate the number of IDPs in each state.\n\n\nPage 15\n\nMention: \"IDP survey\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Survey under Component 3 will validate IDP numbers and determine tier eligibility.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004018:15:1", "occurrence_id": "80b025cbdb0db02679d5502c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: </sup> - and six states quality for\nTier 2 - Kaduna, Taraba, Nasarawa, Sokoto, Plateau, and Gombe. <sup>44</sup> Tier 1 states must meet Demonstrated Commitment,\nImplementation Readiness and Disbursement Readiness criteria (together referred as ‘Tier 1 eligibility criteria’) with\nannual reviews of fulfillment of the criteria throughout the duration of the project to ensure compliance. A Tier 1 state’s\nfailure to fulfill the Tier 1 eligibility criteria will result in its exit from the project. Based on the results of the IDP survey\nconducted in Component 3, a Tier 2 state may be eligible to move to Tier 1 and/or a state that did not qualify for either\ntier at the beginning of the project may become eligible to enter the project. However, opportunities are limited\nconsidering the current number of IDPs in Tier 2 states (only one state has the chance of transitioning based on the new\ncount of IDPs). <sup>45</sup>\n\n\n\n\n\n43 All six states have submitted a letter expressing interest in joining SOLID and were invited to submit documentation illustrating their\nfulfillment of the Demonstrated Commitment Criteria. The FMBEP and World Bank will use the documentation to jointly assess each\nstate’s eligibility\n44 All six states attended the consultation workshop and expressed interest verbally. These states will be invited to submit a letter of\nexpression of interest in receiving TA.\n45 There is only one state (Bauchi) that currently does not meet the threshold of having an IDP share of the total population at greater\nthan 1% but is close (0.91% according to IOM data). The IDP survey in Component 3 will validate the number of IDPs in each state.\n\n\nPage 15\n\nMention: \"IOM data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Gives Bauchi's IDP share at 0.91 percent, just below the one percent threshold.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004102:36:0", "occurrence_id": "07dc02e6952fdae53cab976a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMyanmar Community Livelihood Assistance Project (P181475)\n\n|Col1|Myanmar, drawing from the Myanmar Subnational Phone Survey (MSPS). As of late September 2024, the latest available<br>data on the share of youth (age 15-24) of all populations of Myanmar was 15.4% (November 2023 – March 2024). For<br>WFP, the applicable activity of asset creation by definition includes those older than 18 years, and therefore, 10.3% from<br>the same MPSP will be used to come up with their figure, instead of 15.4%. This rate may be updated if any more new<br>data becomes available before the project's approval, and will continue to be monitored for reporting purposes during<br>the project implementation.|\n|---|---|\n|Frequency|Quarterly|\n|Data source|ICRC, FAO and WFP Quaterly Reports, M&E system/MIS of partners|\n|Methodology for Data<br>Collection|Registrations and/or secondary data sources|\n|Responsibility for Data<br>Collection|ICRC, WFP and FAO and their local cooperating partners|\n|**Displaced people and people in host communities provided with services and livelihoods – Female (Number of people) **|**Displaced people and people in host communities provided with services and livelihoods – Female (Number of people) **|\n|Description|The end target derived by 51% of the total end target beneficiaries, based on the demographic norm of Myanmar. For<br>WFP, the applicable activity of asset creation will only be provided to host community populations, and based on their<br>available data, 48% will be used to estimate the number of women out of the total beneficiaries of the parent indicator.|\n|\n\nMention: \"Myanmar Subnational Phone Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Phone survey supplying the youth share and welfare data as of late 2024.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004137:5:1", "occurrence_id": "2a179e9ea5e7435de68a1fee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \n**vulnerability to drought exacerbated by climate change.** The severe drought in 2021 resulted in the loss of 225,000 ha of\ncultivated fields <sup>12</sup> [^12: GTPA, October 2021] affecting more than 3 million people mainly in Mopti, Segou, and Timbuktu. <sup>13</sup> [^13: https://reliefweb.int/report/mali/mali-alarming-food-crisis-leaves-12-million-hungry] Moreover, the shortening\nof the rainy season has prevented the renewal of pastures in many parts of the country, increasing competition for the\nfew remaining grazing resources. Against this backdrop, Mali’s rivers (Niger, Senegal, Volta) are lifelines for most of its\npopulation and irrigation is fundamental to increase and stabilize food output and incomes, and to reduce the need to\nmigrate.\n\n\n15. **Although Mali does not face physical water scarcity in average terms, variability** <sup>**14**</sup> [^14: Temporal and spatial variability] **, and mismanagement**\n**contribute to significant economic water scarcity.** With annual renewable water resources of 6,290 m <sup>3</sup> per capita, <sup>15</sup> [^15: FAO Aquastat. 2018. https://www.fao.org/aquastat/statistics/query/index.html;jsessionid=E357A9D3F72DC9F3EDAA5F11C57E6CBD] Mali’s\ncurrent water consumption levels do not exceed sustainable water resources at the country level. However, extreme\nvariability in water availability in time and space (particularly between riparian and Saharan populations), coupled with\nunderdeveloped knowledge and infrastructure bases and poor service delivery and water quality management, lead to\ndifferentiated water access and exacerbate water insecurity. Violence has also led to significant restrictions on movement,\ndisrupting economic activities and limiting access to fields and grazing areas and resulting in the abandonment of cropped\nlands. Because of an increasingly unpredictable climate, insecurity, and\n\nMention: \"FAO Aquastat\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Reports annual renewable water resources per capita, cited with URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004042:3:0", "occurrence_id": "2b00fc4532663672e51faba3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening Honduras' National Identification Ecosystem (P181324)\n\n\n**5.** **The Government of Honduras has made efforts to ensure timely registry and the right to an identity,**\n**but important challenges remain.** According to 2019 UNICEF data, <sup>1</sup> [^1: Multiple Indicator Cluster Surveys.] under registration of birth on children under\n1 year old is 13 percent, which lags significantly behind neighboring countries such as Costa Rica and El Salvador.\nAlthough the RNP has also improved the National Identification system (SIN) it lacks a strategic service model\nto serve as a key foundational platform to facilitate access to services. The digital infrastructure and enabling\nregulatory environment supporting the SIN also needs to be strengthened.\n\n\n**6.** **A robust identification system is needed to facilitate access of individuals to public and private**\n**services.** Honduras’s RNP faces several weaknesses including the lack of universal coverage, difficult access to\ndocumentation, vulnerability to identity theft, and poor institutional capacity. By enhancing the identification\nsystem to include minors and ensure registration at birth, this segment of the population can access\nfundamental services.\n\n\nRelationship to CPF\n**7.** **The proposed project is aligned with the FY23-FY27 Country Partnership Framework (Report No.**\n**178920-HN) dated October 19, 2022.** The operation supports the CPF´s High Level Objective (HLO): _HLO-1,_\n_Improved Human Development_, Objectives 1, 2 and 3, by supporting the development of a national identification\nsystem that improves the access of citizens to (i) social protection mechanisms, including the World Banksupported CCT program, which relies on a beneficiary registry to identify the poorest households; (ii) education,\nthrough the incentivization of school enrollment; (iii) health services by addressing gender disparities in\n\nMention: \"2019 UNICEF data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows 13 percent birth under-registration among children under one.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004042:3:0", "occurrence_id": "45dde6a6b9437a463226e645", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening Honduras' National Identification Ecosystem (P181324)\n\n\n**5.** **The Government of Honduras has made efforts to ensure timely registry and the right to an identity,**\n**but important challenges remain.** According to 2019 UNICEF data, <sup>1</sup> [^1: Multiple Indicator Cluster Surveys.] under registration of birth on children under\n1 year old is 13 percent, which lags significantly behind neighboring countries such as Costa Rica and El Salvador.\nAlthough the RNP has also improved the National Identification system (SIN) it lacks a strategic service model\nto serve as a key foundational platform to facilitate access to services. The digital infrastructure and enabling\nregulatory environment supporting the SIN also needs to be strengthened.\n\n\n**6.** **A robust identification system is needed to facilitate access of individuals to public and private**\n**services.** Honduras’s RNP faces several weaknesses including the lack of universal coverage, difficult access to\ndocumentation, vulnerability to identity theft, and poor institutional capacity. By enhancing the identification\nsystem to include minors and ensure registration at birth, this segment of the population can access\nfundamental services.\n\n\nRelationship to CPF\n**7.** **The proposed project is aligned with the FY23-FY27 Country Partnership Framework (Report No.**\n**178920-HN) dated October 19, 2022.** The operation supports the CPF´s High Level Objective (HLO): _HLO-1,_\n_Improved Human Development_, Objectives 1, 2 and 3, by supporting the development of a national identification\nsystem that improves the access of citizens to (i) social protection mechanisms, including the World Banksupported CCT program, which relies on a beneficiary registry to identify the poorest households; (ii) education,\nthrough the incentivization of school enrollment; (iii) health services by addressing gender disparities in\n\nMention: \"Multiple Indicator Cluster Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The survey programme named in the footnote behind the UNICEF figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004143:3:2", "occurrence_id": "482d9175d93e2e445b46c426", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of development, only around\n2 percent of total energy consumption is traded through bilateral contracts. The first multilateral power trade\nagreement among Lao PDR, Thailand, Malaysia, and Singapore became operational in 2023.\n\n6. **Major challenges to realizing the APG include political fragmentation, prioritization of domestic**\n**infrastructure, regulatory misalignment, limited access to technical data, and unsynchronized planning** .\nFinancial barriers are especially significant. Achieving the APG vision by 2045 will require approximately US$764\nbillion in generation and transmission investments. The ASEAN Interconnection Masterplan Study (AIMS III)\nidentified 18 priority interconnection projects needing an estimated US$17 billion, with at least US$90 million\n\n\nPage 3\n\nMention: \"ASEAN Interconnection Masterplan Study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Identified 18 priority interconnection projects needing an estimated US$17 billion.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004144:10:2", "occurrence_id": "ca87a7ced19638ad0bf16492", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  percent. A key explanatory\nfactor is the unequal access to preschool: only 7 percent of Roma children are enrolled in preprimary education in Serbia **.**\n\n4. **While Serbia has robust learning outcomes in early grades, results decline by the end of primary education,**\n**when many students fail to achieve minimum standards.** In 2021, Serbia’s average performance in the Progress in\nInternational Reading and Literacy Study (PIRLS - measuring reading competencies of Grade 4 students) was 514,\ncomparable to the Europe and Central Asia average of 517, and above the global average of 503. <sup>2</sup> Similarly, in 2019,\nSerbia’s Grade 4 students performed above the international average on the Trends in International Mathematics and\nScience Study (TIMSS). However, results from the Program for International Student Assessment (PISA), which measures\ncognitive abilities of 15-year-olds, show that in 2022 Serbian students lagged 30 to 40 points behind the OECD average,\n\n\n1 European Commission, Serbia Report 2023. https://op.europa.eu/en/publication-detail/-/publication/92407d24-7eee-11ee-99ba01aa75ed71a1/language-en.\n2 Serbia has participated in multiple cycles of PISA (2003, 2006, 2009, 2012, 2018, and 2022), TIMSS (2003, 2007, and 2019), and PIRLS (2021).\n\n1\n\n\nOfficial Use Only\n\nMention: \"Progress in\nInternational Reading and Literacy Study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Grade 4 reading score of 514, near the ECA average of 517.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004144:10:2", "occurrence_id": "dea8be724337b7043989da5e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  percent. A key explanatory\nfactor is the unequal access to preschool: only 7 percent of Roma children are enrolled in preprimary education in Serbia **.**\n\n4. **While Serbia has robust learning outcomes in early grades, results decline by the end of primary education,**\n**when many students fail to achieve minimum standards.** In 2021, Serbia’s average performance in the Progress in\nInternational Reading and Literacy Study (PIRLS - measuring reading competencies of Grade 4 students) was 514,\ncomparable to the Europe and Central Asia average of 517, and above the global average of 503. <sup>2</sup> Similarly, in 2019,\nSerbia’s Grade 4 students performed above the international average on the Trends in International Mathematics and\nScience Study (TIMSS). However, results from the Program for International Student Assessment (PISA), which measures\ncognitive abilities of 15-year-olds, show that in 2022 Serbian students lagged 30 to 40 points behind the OECD average,\n\n\n1 European Commission, Serbia Report 2023. https://op.europa.eu/en/publication-detail/-/publication/92407d24-7eee-11ee-99ba01aa75ed71a1/language-en.\n2 Serbia has participated in multiple cycles of PISA (2003, 2006, 2009, 2012, 2018, and 2022), TIMSS (2003, 2007, and 2019), and PIRLS (2021).\n\n1\n\n\nOfficial Use Only\n\nMention: \"Trends in International Mathematics and\nScience Study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Grade 4 maths and science above the international average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004144:10:2", "occurrence_id": "4803e79a4b90bfab0d6f4853", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  percent. A key explanatory\nfactor is the unequal access to preschool: only 7 percent of Roma children are enrolled in preprimary education in Serbia **.**\n\n4. **While Serbia has robust learning outcomes in early grades, results decline by the end of primary education,**\n**when many students fail to achieve minimum standards.** In 2021, Serbia’s average performance in the Progress in\nInternational Reading and Literacy Study (PIRLS - measuring reading competencies of Grade 4 students) was 514,\ncomparable to the Europe and Central Asia average of 517, and above the global average of 503. <sup>2</sup> Similarly, in 2019,\nSerbia’s Grade 4 students performed above the international average on the Trends in International Mathematics and\nScience Study (TIMSS). However, results from the Program for International Student Assessment (PISA), which measures\ncognitive abilities of 15-year-olds, show that in 2022 Serbian students lagged 30 to 40 points behind the OECD average,\n\n\n1 European Commission, Serbia Report 2023. https://op.europa.eu/en/publication-detail/-/publication/92407d24-7eee-11ee-99ba01aa75ed71a1/language-en.\n2 Serbia has participated in multiple cycles of PISA (2003, 2006, 2009, 2012, 2018, and 2022), TIMSS (2003, 2007, and 2019), and PIRLS (2021).\n\n1\n\n\nOfficial Use Only\n\nMention: \"Program for International Student Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"15-year-olds lagged 30–40 points behind the OECD average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004151:3:2", "occurrence_id": "9e0af0a8a45b1dea33e88d26", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 87 total PMCIs nationwide,\n550 now meet the minimum criteria for basic capacities, including improved availability of essential medicines\nand equipment, however periodic spells of shortages still remains a challenge; access to basic testing, and\navailability of trained staff has also shown improvement. The Project also included introduction of laboratory\nnetworks and implementation of new human resource strategies to facilitate service availability. The Project,\nhowever, attempted to introduce the concept of quality of care at PMCIs, this necessitates further reinforcement\nto enhance the utilization of services at PMCIs. Where the Project has been rolled out, local health seeking\nbehavior has shifted in favour of using PMCIs as the first point of care, and service utilization outcomes have\n\n\n1 Hapangama A, Kuruppuarachchi KALA. Maternal mental health services in Sri Lanka: challenges and solutions. BJPsych Int. 2021 Nov;18(4):100-102. doi:\n10.1192/bji.2020.52. PMID: 34747934; PMCID: PMC8554894 and Neupane S, Scott S, Piwoz E, Kim SS, Menon P, Nguyen PH (2023) More is not enough: High\nquantity and high quality antenatal care are both needed to prevent low birthweight in South Asia. PLOS Glob Public Health 3(6): e0001991.\n<u>[https://doi.org/10.1371/journal.pgph.0001991](https://doi.org/10.1371/journal.pgph.0001991)</u>\n[2 Sri Lanka Demographic and Health Survey 2016. http://www.statistics.gov.lk/Resource/en/Health/DemographicAndHealthSurveyReport-2016-Contents.pdf](http://www.statistics.gov.lk/Resource/en/Health/DemographicAndHealthSurveyReport-2016-Content\n\nMention: \"Sri Lanka Demographic and Health Survey 2016\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"DHS cited with a direct report link for maternal and child health indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004144:15:1", "occurrence_id": "2fdc2d320d22f03662c0c394", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (a) implement a national learning assessment and favor its use in\ntargeted schools and (b) strengthen teacher professional development.\n\n_Subcomponent 1.1: Learning Assessments (estimated US$5 million)_\n\n20. The objective of the first subcomponent is to address the issue of limited data on student learning outcomes by\nproviding TA and capacity building to the MoE and IEQE on the production and use of data. Specifically, the project would\nfinance the development of the methodology and administration/rollout of one paper-based national assessment for\nGrade 3 students and the design and rollout of at least one digital national assessment for Grade 7 students with an initial\nfocus on key competences, that is, numeracy and reading. The project will support the following initiatives for digitally\nadministering the Grade 7 assessment: (a) conducting a feasibility study to assess the technical readiness of schools for\ncomputer-based testing (CBT); (b) choosing and setting up a comprehensive platform for test creation, administration,\ndata collection, and scoring; (c) training staff to manage the CBT system; (d) conducting a pilot study in a select number\nof schools to evaluate the platform’s effectiveness; and (e) conducting the first official CBT-based assessment. This\nsubcomponent will also finance activities to expand the use of national assessment data, both centrally and in schools\ntargeted by the ESSI and WDS programs. This support will include, among others, the following activities: (a) training IEQE\nstaff in data analysis and reporting, including the use of specialized software for item response theory analysis; (b) training\nthe MoE and IIE staff to interpret and analyze national assessment data for policy reform purposes; (c) training school\nprincipals and teachers in the sampled WDS and ESSI schools to understand and act upon the national assessment results\nat their respective levels; and (d) engaging stakeholders such as local authorities, parents, and academia through\n\nMention: \"national assessment data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Activities to expand use of assessment data centrally and in targeted schools.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004144:11:0", "occurrence_id": "b704d66fb08d7a0adbb5697a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSerbia Inclusive Primary Education Improvement Project (P181557)\n\n\nequivalent to approximately 1.5 years of schooling. According to the 2022 PISA results, 43 percent of 15-year-olds in Serbia\nfell below the minimum math proficiency (Level 2), compared to 31 percent in the OECD. The share of low-performing\nstudents has increased since 2012 by 4.2 percentage points in math and 3.3 percentage points in reading. <sup>3</sup> [^3: OECD. 2023. _PISA 2022 Results: The State of Learning and Equity in Education_ .]\n\n5. **Despite significant progress in achieving gender equality, Serbia still faces gender challenges in education.**\nSerbia’s Gender Equality Index rose from 52.4 in 2016 to 58.0 in 2021. But gender gaps persist, particularly in reading.\nThroughout primary education, boys perform significantly worse than girls. According to PIRLS 2021, 8.2 percent of Grade\n4 boys in Serbia fell below the minimum reading proficiency level, compared of 6.1 percent of girls. Additionally, 43 percent\nof boys score below Level 2 in reading, compared to 30 percent of girls. <sup>4</sup> [^4: OECD. 2022. _Country Notes: Serbia, PISA 2022 Results_ .] This gap widens as students progress through\nschool. PISA 2022 data show that girls outperform boys in reading by 26 points, equivalent to almost a year of schooling.\nThis is consistent with the international trends in OECD and neighboring countries. <sup>5</sup> [^5: OECD Education GPS. 2022. _[Serbia Student Performance (PISA 2022)](https://gpseducation.oecd.org/CountryProfile?primaryCountry=SRB&treshold=10&topic=PI)_ <u>.</u>] This disparity is attributable to societal\nnorms that often associate reading with femininity, discouraging boys from engaging in reading for pleasure or\n\nMention: \"2022 PISA results\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"43 percent of 15-year-olds below minimum math proficiency versus 31 percent in OECD.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004144:11:0", "occurrence_id": "cfe8a37c39616095f789d79d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSerbia Inclusive Primary Education Improvement Project (P181557)\n\n\nequivalent to approximately 1.5 years of schooling. According to the 2022 PISA results, 43 percent of 15-year-olds in Serbia\nfell below the minimum math proficiency (Level 2), compared to 31 percent in the OECD. The share of low-performing\nstudents has increased since 2012 by 4.2 percentage points in math and 3.3 percentage points in reading. <sup>3</sup> [^3: OECD. 2023. _PISA 2022 Results: The State of Learning and Equity in Education_ .]\n\n5. **Despite significant progress in achieving gender equality, Serbia still faces gender challenges in education.**\nSerbia’s Gender Equality Index rose from 52.4 in 2016 to 58.0 in 2021. But gender gaps persist, particularly in reading.\nThroughout primary education, boys perform significantly worse than girls. According to PIRLS 2021, 8.2 percent of Grade\n4 boys in Serbia fell below the minimum reading proficiency level, compared of 6.1 percent of girls. Additionally, 43 percent\nof boys score below Level 2 in reading, compared to 30 percent of girls. <sup>4</sup> [^4: OECD. 2022. _Country Notes: Serbia, PISA 2022 Results_ .] This gap widens as students progress through\nschool. PISA 2022 data show that girls outperform boys in reading by 26 points, equivalent to almost a year of schooling.\nThis is consistent with the international trends in OECD and neighboring countries. <sup>5</sup> [^5: OECD Education GPS. 2022. _[Serbia Student Performance (PISA 2022)](https://gpseducation.oecd.org/CountryProfile?primaryCountry=SRB&treshold=10&topic=PI)_ <u>.</u>] This disparity is attributable to societal\nnorms that often associate reading with femininity, discouraging boys from engaging in reading for pleasure or\n\nMention: \"PIRLS 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows 8.2 percent of Grade 4 boys below reading proficiency against 6.1 percent of girls.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004144:11:0", "occurrence_id": "4a9bac01a1cf9b8bd657f1fe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSerbia Inclusive Primary Education Improvement Project (P181557)\n\n\nequivalent to approximately 1.5 years of schooling. According to the 2022 PISA results, 43 percent of 15-year-olds in Serbia\nfell below the minimum math proficiency (Level 2), compared to 31 percent in the OECD. The share of low-performing\nstudents has increased since 2012 by 4.2 percentage points in math and 3.3 percentage points in reading. <sup>3</sup> [^3: OECD. 2023. _PISA 2022 Results: The State of Learning and Equity in Education_ .]\n\n5. **Despite significant progress in achieving gender equality, Serbia still faces gender challenges in education.**\nSerbia’s Gender Equality Index rose from 52.4 in 2016 to 58.0 in 2021. But gender gaps persist, particularly in reading.\nThroughout primary education, boys perform significantly worse than girls. According to PIRLS 2021, 8.2 percent of Grade\n4 boys in Serbia fell below the minimum reading proficiency level, compared of 6.1 percent of girls. Additionally, 43 percent\nof boys score below Level 2 in reading, compared to 30 percent of girls. <sup>4</sup> [^4: OECD. 2022. _Country Notes: Serbia, PISA 2022 Results_ .] This gap widens as students progress through\nschool. PISA 2022 data show that girls outperform boys in reading by 26 points, equivalent to almost a year of schooling.\nThis is consistent with the international trends in OECD and neighboring countries. <sup>5</sup> [^5: OECD Education GPS. 2022. _[Serbia Student Performance (PISA 2022)](https://gpseducation.oecd.org/CountryProfile?primaryCountry=SRB&treshold=10&topic=PI)_ <u>.</u>] This disparity is attributable to societal\nnorms that often associate reading with femininity, discouraging boys from engaging in reading for pleasure or\n\nMention: \"PISA 2022 data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Girls outperform boys in reading by 26 points, almost a year of schooling.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004151:3:3", "occurrence_id": "efd40f13f0d9ffac6ba62bdb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /Resource/en/Health/DemographicAndHealthSurveyReport-2016-Contents.pdf](http://www.statistics.gov.lk/Resource/en/Health/DemographicAndHealthSurveyReport-2016-Contents.pdf)\n3 Sri Lanka: Health System Review. 2021 _. Health Systems in Transition_ . <u>[https://iris.who.int/bitstream/handle/10665/342323/9789290228530-](https://iris.who.int/bitstream/handle/10665/342323/9789290228530-eng.pdf?sequence=1)</u>\n<u>[eng.pdf?sequence=1](https://iris.who.int/bitstream/handle/10665/342323/9789290228530-eng.pdf?sequence=1)</u>\n4 Early results from Sri Lanka Health and Ageing Survey\n5 Addressing mental health in Sri Lanka. New Delhi: World Health Organization, Regional Office for South-East Asia; 2022. Licence: CC BY-NC-SA 3.0 IGO.\n\n\nDec.22, 2023 Page 4 of 9\n\nMention: \"Sri Lanka Health and Ageing Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Early results cited on ageing and health in later life.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004213:6:0", "occurrence_id": "1d16848879c151b224f31fee", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTransport Resilience and Connectivity Enhancement Project (P500565)\n\n\nhighlights significant challenges in road safety that the country urgently needs to address, considering that three-quarters\nof deaths were people of working age, leading to a loss of productivity and increased social costs. <sup>17</sup> [^17: Bauyrzhan Zheksenbekov et al. Road Safety Inspection and Road Safety Audit for A17 Inception Report, May 2023.]\n\n\n**14.** **Gender inequalities remain despite notable progress in areas of education and health, with disparities evident**\n**in employment rates (60.5 percent for women compared to 71.0 percent for men), earned incomes, and representation**\n**in high-level political posts** . <sup>18</sup> [^18: The Bureau of National Statistics of the Republic of Kazakhstan 2023. Ages 15 and above. https://stat.gov.kz/en/] Kazakhstan's 62 <sup>nd</sup> position out of 146 countries in the 2023 Global Gender Gap Index, which\nscores countries across Economic, Participation and Opportunity, Educational Attainment, Health and Survival, and\nPolitical Participation, underscores the persistence of such inequalities. <sup>19</sup> [^19: World Economic Forum, 2023. Global Gender Gap Report. https://www3.weforum.org/docs/WEF_GGGR_2023.pdf] Gender-based occupational segregation in the\ncountry is high, likely due in large part to Kazakhstan having barred women from entering 287 occupations until Labor\nCode reforms in 2022. The road construction sector exemplifies this gender divide. It remains predominantly maledominated, with women occupying less than six percent of highly skilled technical roles such as road engineers, laboratory\nengineers, and surveyors, according to a 2024 sample of twelve road construction companies operating in Kazakhstan.\nThe challenges construction companies face in recruiting women are multifaceted and include working conditions,\ndistance from homes, and\n\nMention: \"2024 sample of twelve road construction companies\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Women hold under six percent of highly skilled technical roles in the construction sector.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004213:5:1", "occurrence_id": "e149646793d02fd1a814d577", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the South West Roads Project (SWRP) and\nthe East West Roads Project (EWRP), are being implemented. These projects focus on enhancing road corridors,\nparticularly in the country's southern, southeastern, and southwestern regions, including sections of the southerly branch\nof the Middle Corridor. In September 2023, the Multilateral Investment Guarantee Agency (MIGA) issued a CHF 554.7\nmillion (the equivalent of US$ 621.2 million) ten-year guarantee covering the principal and interest on loans to the national\nrailway company, Kazakhstan Temir Zholy JSC. The loans guaranteed will facilitate track renovation and rehabilitation, as\nwell as the purchase of 105 freight and passenger locomotives. Additionally, the Government collaborates with other\ndevelopment partners, including the EBRD, the ADB, and the Islamic Development Bank (IsDB), to develop various sections\nof the national road network.\n\n\n**12.** **As Kazakhstan’s economy continues to develop, the motorization rate is expected to grow.** Currently, there are\n226 vehicles per 1,000 inhabitants, around the global average, and an aging vehicle fleet. <sup>14</sup> [^14: International Organization of Motor Vehicle Manufacturers: Total World vehicles in use by 2020. https://www.oica.net/wpcontent/uploads/Total-World-vehicles-in-use-2020.pdf.] While heightened motorization\npromises improved access to goods and services for more people, it necessitates careful strategic planning and\nmanagement across several fronts. These include ensuring adequate infrastructure capacity, addressing safety as traffic\nincreases, and balancing economic growth with environmental sustainability and climate commitments.\n\n\n**13.** **Road safety persists as a pressing concern in Kazakhstan, imposing a substantial economic and social toll.** In\n2022, road accidents caused 2,425 fatalities and over 19,000 injuries, costing approximately six percent of the country’s\nGDP. <sup>15</sup> Despite its moderate motorization rate and substantial improvement over the past decade\n\nMention: \"Total World vehicles in use by 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Global vehicle counts used to benchmark the motorization rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004178:4:1", "occurrence_id": "4b98f417241407e00c4a55c2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  would push industry leaders to innovate while enhancing supply chain efficiency through greater competition and\ncollaboration. Unlike SMEs, which often receive direct support or regulatory relief, mid-caps are frequently treated as\nlarge firms, an approach that does not foster their growth. Expanding both public and private financing options and\nenhancing the climate resilience of these firms is therefore critical to ensure mid-caps can scale, challenge incumbents,\nand retain their growth potential.\n\n**Climate risks, if not addressed, could have significant economic implications.** According to UNESCAP data, the annual\naverage loss from weather-related disasters accounts for 2.2 percent of Türkiye’s GDP. For flood hazards, World Bank\n(WB) modeling based on EM-DAT data indicates that a 1-in-100-year event could lead to losses of US$1.6 billion (0.2\npercent of GDP). Historical data also points to considerable economic impacts – heavy rainfall in the Black Sea region in\n1998 has been estimated to have affected 1.2-2.2 million people and caused over US$1 billion in damages as just one of\nmany examples. At the same time, while the government has several well-established policies and regulations for disaster\nrisk financing (DRF), as well as a set of DRF instruments to meet post-disaster costs, it has no coordinated framework for\nDRF and is likely to face a funding gap for severe disasters.\n\n**Despite the potential economic impact, financing for climate adaptation is insufficient.** There is a huge gap, estimated\nat US$187-359 billion per year, between what is needed and what is being delivered on adaptation finance globally. EMDEs\nin general, and Türkiye specifically, face a significant gap in climate financing overall, and especially for adaptation. Of the\ntotal climate finance in EMDEs (excluding China) only 16 percent (US$72 billion) is directed to\n\nMention: \"UNESCAP data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Annual average loss from weather-related disasters at 2.2 percent of GDP.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004178:4:1", "occurrence_id": "3263315c94d77318a813fa6a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  would push industry leaders to innovate while enhancing supply chain efficiency through greater competition and\ncollaboration. Unlike SMEs, which often receive direct support or regulatory relief, mid-caps are frequently treated as\nlarge firms, an approach that does not foster their growth. Expanding both public and private financing options and\nenhancing the climate resilience of these firms is therefore critical to ensure mid-caps can scale, challenge incumbents,\nand retain their growth potential.\n\n**Climate risks, if not addressed, could have significant economic implications.** According to UNESCAP data, the annual\naverage loss from weather-related disasters accounts for 2.2 percent of Türkiye’s GDP. For flood hazards, World Bank\n(WB) modeling based on EM-DAT data indicates that a 1-in-100-year event could lead to losses of US$1.6 billion (0.2\npercent of GDP). Historical data also points to considerable economic impacts – heavy rainfall in the Black Sea region in\n1998 has been estimated to have affected 1.2-2.2 million people and caused over US$1 billion in damages as just one of\nmany examples. At the same time, while the government has several well-established policies and regulations for disaster\nrisk financing (DRF), as well as a set of DRF instruments to meet post-disaster costs, it has no coordinated framework for\nDRF and is likely to face a funding gap for severe disasters.\n\n**Despite the potential economic impact, financing for climate adaptation is insufficient.** There is a huge gap, estimated\nat US$187-359 billion per year, between what is needed and what is being delivered on adaptation finance globally. EMDEs\nin general, and Türkiye specifically, face a significant gap in climate financing overall, and especially for adaptation. Of the\ntotal climate finance in EMDEs (excluding China) only 16 percent (US$72 billion) is directed to\n\nMention: \"EM-DAT data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Disaster register underpinning Bank modelling of a 1-in-100-year flood loss.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004177:38:1", "occurrence_id": "2e698fbcaf2a2afce6498bbd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Project mid-term|\n|Data source|Report on summary of survey findings, and data on responses|\n|Methodology for Data<br>Collection|Survey of beneficiaries|\n|Responsibility for Data<br>Collection|TSKB|\n\n\n\nPage 29\n\nMention: \"Survey of beneficiaries\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Beneficiary survey is the collection method for the indicator, reported by TSKB.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004196:17:0", "occurrence_id": "43c2bd7d92aecd406dd6b30e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (d) **Strengthening of an integrated forest, carbon, and biodiversity monitoring mechanism at multiple**\n\n**interoperable scales,** including technology and geo-referenced national data and analysis of the state of the\nforests, carbon emissions, and drivers of deforestation, through IDEAM’s national Forest and Carbon\nMonitoring System ( _Sistema de Monitoreo de Bosques y Carbono_, SMByC), data that track compliance of\ncommunity-level agreements for sustainable production and restoration at farm and landscape level through\nSinchi’s MoSCAL system, <sup>9</sup> [^9: <u>[https://siatac.co/moscal/. Moscal stands for Monitoring Module for the Compliance of forest conservation local Agreements (](https://siatac.co/moscal/)</u> _Módulo de_\n_seguimiento al cumplimiento de los acuerdos locales de conservación del bosque_ ) but the acronym is commonly used.] data on drivers of deforestation in PAs, and data from community biodiversity and\nwildlife monitoring initiatives.\n\n\n22. **Component 4: Project management, monitoring, knowledge, and communications (US$4.6 million).** This\ncomponent aims to achieve the following outcomes: 4.1 (strengthen national management institutional capacity); 4.2\n(increase knowledge management of best practices); 4.3 (deliver effective dissemination of the project’s progress and\nlessons); and 4.4 (deliver effective monitoring of the project’s progress and lessons at multiple scales). Component 4\nincludes the following activities:\n\n\n(a) **Project execution,** including the establishment of the Project Implementation Unit (PIU) in charge of\n\nensuring compliance with all legal, technical, environmental, and social commitments and the establishment\nof the grievance redress mechanism (GRM) and operationalization of the project’s governance structures\n(steering and technical committee).\n\n\n(b) **Delivery of knowledge management** and regional dialogue.\n\n\n(c) **Communication\n\nMention: \"geo-referenced national data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Georeferenced data feeding the integrated forest, carbon and biodiversity monitoring mechanism.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004196:17:0", "occurrence_id": "f009f579f47c338bfb59e6d0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (d) **Strengthening of an integrated forest, carbon, and biodiversity monitoring mechanism at multiple**\n\n**interoperable scales,** including technology and geo-referenced national data and analysis of the state of the\nforests, carbon emissions, and drivers of deforestation, through IDEAM’s national Forest and Carbon\nMonitoring System ( _Sistema de Monitoreo de Bosques y Carbono_, SMByC), data that track compliance of\ncommunity-level agreements for sustainable production and restoration at farm and landscape level through\nSinchi’s MoSCAL system, <sup>9</sup> [^9: <u>[https://siatac.co/moscal/. Moscal stands for Monitoring Module for the Compliance of forest conservation local Agreements (](https://siatac.co/moscal/)</u> _Módulo de_\n_seguimiento al cumplimiento de los acuerdos locales de conservación del bosque_ ) but the acronym is commonly used.] data on drivers of deforestation in PAs, and data from community biodiversity and\nwildlife monitoring initiatives.\n\n\n22. **Component 4: Project management, monitoring, knowledge, and communications (US$4.6 million).** This\ncomponent aims to achieve the following outcomes: 4.1 (strengthen national management institutional capacity); 4.2\n(increase knowledge management of best practices); 4.3 (deliver effective dissemination of the project’s progress and\nlessons); and 4.4 (deliver effective monitoring of the project’s progress and lessons at multiple scales). Component 4\nincludes the following activities:\n\n\n(a) **Project execution,** including the establishment of the Project Implementation Unit (PIU) in charge of\n\nensuring compliance with all legal, technical, environmental, and social commitments and the establishment\nof the grievance redress mechanism (GRM) and operationalization of the project’s governance structures\n(steering and technical committee).\n\n\n(b) **Delivery of knowledge management** and regional dialogue.\n\n\n(c) **Communication\n\nMention: \"national Forest and Carbon\nMonitoring System\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"IDEAM's system supplying forest state, emissions and deforestation driver analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004196:17:0", "occurrence_id": "55a19ffe6fbdecb4c328758e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (d) **Strengthening of an integrated forest, carbon, and biodiversity monitoring mechanism at multiple**\n\n**interoperable scales,** including technology and geo-referenced national data and analysis of the state of the\nforests, carbon emissions, and drivers of deforestation, through IDEAM’s national Forest and Carbon\nMonitoring System ( _Sistema de Monitoreo de Bosques y Carbono_, SMByC), data that track compliance of\ncommunity-level agreements for sustainable production and restoration at farm and landscape level through\nSinchi’s MoSCAL system, <sup>9</sup> [^9: <u>[https://siatac.co/moscal/. Moscal stands for Monitoring Module for the Compliance of forest conservation local Agreements (](https://siatac.co/moscal/)</u> _Módulo de_\n_seguimiento al cumplimiento de los acuerdos locales de conservación del bosque_ ) but the acronym is commonly used.] data on drivers of deforestation in PAs, and data from community biodiversity and\nwildlife monitoring initiatives.\n\n\n22. **Component 4: Project management, monitoring, knowledge, and communications (US$4.6 million).** This\ncomponent aims to achieve the following outcomes: 4.1 (strengthen national management institutional capacity); 4.2\n(increase knowledge management of best practices); 4.3 (deliver effective dissemination of the project’s progress and\nlessons); and 4.4 (deliver effective monitoring of the project’s progress and lessons at multiple scales). Component 4\nincludes the following activities:\n\n\n(a) **Project execution,** including the establishment of the Project Implementation Unit (PIU) in charge of\n\nensuring compliance with all legal, technical, environmental, and social commitments and the establishment\nof the grievance redress mechanism (GRM) and operationalization of the project’s governance structures\n(steering and technical committee).\n\n\n(b) **Delivery of knowledge management** and regional dialogue.\n\n\n(c) **Communication\n\nMention: \"data on drivers of deforestation in PAs\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Protected-area deforestation drivers used alongside community compliance data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004196:17:0", "occurrence_id": "c49fefa1e5ad0dc8c4a060b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: (d) **Strengthening of an integrated forest, carbon, and biodiversity monitoring mechanism at multiple**\n\n**interoperable scales,** including technology and geo-referenced national data and analysis of the state of the\nforests, carbon emissions, and drivers of deforestation, through IDEAM’s national Forest and Carbon\nMonitoring System ( _Sistema de Monitoreo de Bosques y Carbono_, SMByC), data that track compliance of\ncommunity-level agreements for sustainable production and restoration at farm and landscape level through\nSinchi’s MoSCAL system, <sup>9</sup> [^9: <u>[https://siatac.co/moscal/. Moscal stands for Monitoring Module for the Compliance of forest conservation local Agreements (](https://siatac.co/moscal/)</u> _Módulo de_\n_seguimiento al cumplimiento de los acuerdos locales de conservación del bosque_ ) but the acronym is commonly used.] data on drivers of deforestation in PAs, and data from community biodiversity and\nwildlife monitoring initiatives.\n\n\n22. **Component 4: Project management, monitoring, knowledge, and communications (US$4.6 million).** This\ncomponent aims to achieve the following outcomes: 4.1 (strengthen national management institutional capacity); 4.2\n(increase knowledge management of best practices); 4.3 (deliver effective dissemination of the project’s progress and\nlessons); and 4.4 (deliver effective monitoring of the project’s progress and lessons at multiple scales). Component 4\nincludes the following activities:\n\n\n(a) **Project execution,** including the establishment of the Project Implementation Unit (PIU) in charge of\n\nensuring compliance with all legal, technical, environmental, and social commitments and the establishment\nof the grievance redress mechanism (GRM) and operationalization of the project’s governance structures\n(steering and technical committee).\n\n\n(b) **Delivery of knowledge management** and regional dialogue.\n\n\n(c) **Communication\n\nMention: \"data from community biodiversity and\nwildlife monitoring initiatives\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Community-collected monitoring data integrated with national systems.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004220:13:0", "occurrence_id": "2e183b57ce92bf5f6212fef1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDe-risking Importation of Strategic Commodities Project (P500589)\n\n\nreal GDP loss of 0.5 percent for 2023. <sup>3</sup> [^3: World Bank. 2023. Malawi Economic Monitor.] The effects of the cyclone have particularly impacted the outlook\nfor the agriculture sector in the coming season, with potentially grave consequences for the poorest.\nAccording to Integrated Food Security Phase Classification (IPC), 3.3 million people in Malawi are currently\nexperiencing high acute food insecurity (IPC Phase 3). <sup>4</sup> [^4: Integrated Food Security Phase Classification, Acute Food Insecurity Analysis for Malawi. 2023.\n_5_ <u>[The ND-GAIN Country Index](https://gain.nd.edu/our-work/country-index/rankings/)</u> summarizes a country’s vulnerability to climate change in combination with its readiness to\nimprove resilience. A lower country ranking means that the country is more vulnerable and/or less ready to respond to climate\nchange.\n_6_ [World Bank (2022). Malawi Country Climate and Development Report.](https://documents1.worldbank.org/curated/en/099545010272237260/pdf/P1772201ced75ce9182e7142761bde013662bca4fe42.pdf)] This number is projected to increase to 4.4 million\n(22 percent of the population) by October 2023.\n\n\n4. **Malawi is one of the most vulnerable and least ready country to respond to climate change,**\n**ranking 161 (out of 185 countries) in Notre Dame Global Adaptation Initiative’s (ND-GAIN) index.** <sup>5</sup>\n\nMalawi is already exposed to various natural hazards, such as flood, cyclone, and extreme heat, which will\nworsen with climate change. Malawi’s Country Climate and Development Report (CCDR) suggests that the\naverage projected increase in temperature is 1.03°C by 2040 and 1.34°C by\n\nMention: \"Malawi Economic Monitor\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimates the cyclone's real GDP loss for 2023.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004209:5:0", "occurrence_id": "4bba93040b98463e5da9504b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSouth Sudan Resilient Livestock Sector Project(P500553)\n\n\nproduction, processing, and trading. A total of 3 to 5 new dipping tanks per county of intervention will be\nconstructed based on pre-identified priority needs.\n\n\n**(ii)** **Sub-component 1.2: Strengthening the delivery of animal health services.** The component will support the\n\ntraining of CAHWs. Training of CAHWs is a cost-efficient and locally available option to offer access to quality\nanimal health services. There is a network of more than 2,000 CAHWs across the country (database and mapping\navailable). Training will cover GAHP and basic animal health (with a One Health approach) and welfare care.\nCAHWs will be critical in the delivery and sustainability over time of activities under sub-component 1.1. This subcomponent will be conducted in collaboration with technical partners with experience and a successful track\nrecord in delivery of CAHWs training in underserved and at-risk areas of South Sudan and in coordination with\nand under the supervision of local veterinary authorities in the public sector. The project will also support the\nimplementation of small veterinary health centers (VHC) and adequate community slaughterhouses on a pilot\nbasis at the sub-district level to supply Veterinary Medicinal Products (VMP), basic animal health services, and\ntraining for CAHWs. It will also support a pilot privatization model for access to animal health services\nthrough the establishment of Veterinary Field Units (VFU) for the delivery of demand – driven animal\nhealth services. The sub-component will train 1,000 new CAHWs (with special emphasis on women herds).\n\n\n**11.** **Component 2: Sustainable management of natural resources for livestock systems, with focus on rangeland and**\n**water management (US$20 million).** The proposed project will introduce\n\nMention: \"database and mapping\navailable\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Existing register and map of the community animal health worker network.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004220:23:0", "occurrence_id": "7783ed8545935dd81f6627fd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDe-risking Importation of Strategic Commodities Project (P500589)\n\n\nthis operation will support Malawi’s financial system through improved credibility and increased supply\nof trade finance.\n\n\n34. **Given its inherent focus on making the markets work, in addition to local banks and the financial**\n**sector, this operation will also benefit a wide range of actors ranging from consumers to producers to**\n**importers** . Notably, this operation will have the following indirect beneficiaries:\n\n\n(a) **Farmers including women smallholders, and the wider Malawian society** : This operation\n\nwill benefit farmers and the wider society by increasing the supply of fertilizers and medicine\nin the market, enhancing agricultural productivity and supply of agricultural products, and\ntaming the price pressure on agricultural commodities. Given the pro-poor nature of eligible\ncommodities for this operation – pharmaceuticals and fertilizer– people in the bottom of the\nincome pyramid, particularly women and girls, are more likely to benefit from this operation.\n<mark>Fertilizer management in Malawi is facilitated by the FAM which has 20 members that</mark>\n<mark>represent all activities related to production, trade, and distribution of all types of fertilizer;</mark>\n<mark>the members cover more than 90 percent of the annual fertilizer consumption in Malawi.</mark>\n<mark>There are close to a thousand retail centers for fertilizers in Malawi with the expected</mark>\n<mark>beneficiaries numbering 1.5 million.</mark> Data from Malawi shows that there is a gender gap in\nagricultural productivity, partly attributed to gender gap in access to inputs including\nfertilizer with farm plots managed by men producing an average of 25 percent higher yields\nthan plots managed by women with an estimated loss of US$100 million per year. <sup>23</sup> Related\nresearch shows that the value of\n\nMention: \"Data from Malawi\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Shows men-managed plots yield about 25 percent more, linked to input access gaps.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004220:28:2", "occurrence_id": "1fe75c2cb18be5cc2c719f35", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: &S specialist for this project will have strong\nclimate expertise and will receive training on Paris Alignment to ensure compliance throughout project implementation.\n26 This historical data on zero default should not be taken for granted as local banks may default in the absence of\nproportionate sanction and redress policy.\n\n\nPage 24 of 33\n\nMention: \"historical data on zero default\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Past zero-default record cited, with a caveat that it should not be assumed to continue.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004223:16:2", "occurrence_id": "e5b4c42398ee0acb370b870b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  now served with\nfunctioning water systems, though some expansion is needed. Similar trends have been observed in access to basic\nsanitation, currently at 92.6 percent. <sup>16</sup> [^16: https://www.sdg6data.org/en/country-or-area/kyrgyzstan] These access improvements have led to a notable progress in public health:\naccording to the Multiple Indicator Survey Cluster Snapshot of 2018, there has been a steady decline in the infant and\nchild mortality rate under five years old (from 28 to 20 deaths per 1,000 children) since 2000, which is highly correlated\nto WSS access. Thus, further investments and universal access to WSS have the potential to significantly reduce the burden\nof public health disease on human capital and the country's economy.\n\n\n7. **In parallel, the GoKR carried out a series of capacity-building activities and pilots to enhance the PIR, with extensive**\n**technical support from the World Bank.** At the policy level, the Water Code was enacted in 2005, the Program for\nDevelopment of Drinking Water Supply and Sanitation Systems for Populated Localities (PDDWSSSPL) until 2026 was\ndeveloped, and the design norms and standards (‘SNiPs’) and the WSS Law <sup>17</sup> [^17: Pending government approval (Developed under the World Bank-funded SRWSSDP)] were updated in 2023 to better align the\n\n\n11 <u>[https://www.sciencedirect.com/science/article/abs/pii/S0001706X10001816](https://www.sciencedirect.com/science/article/abs/pii/S0001706X10001816)</u>\n12 <u>[https://www.sciencedirect.com/science/article/pii/S1438463918310484](https://www.sciencedirect.com/science/article/pii/S1438463918310484)</u>\n\nMention: \"Multiple Indicator Survey Cluster Snapshot\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Links WSS access gains to the fall in under-five mortality from 28 to 20 per 1,000.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004269:47:0", "occurrence_id": "de1cd5696afb4d919ca70a7f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nASCENT AFE MPA - Malawi Energy Access Program (P502464)\n\n|2. ESCOM has recorded geospatial information (incl. location of customer and nearest transformer) for at least 95% of its customers.|Col2|\n|---|---|\n|Formula|**Percentage of customers captured in the Customer Relationship Management (CRM) system relative to the average**<br>**number of customers billed monthly exceeds 95%.**|\n|Description|ESCOM to cpature all geo-location data for 95% total billed customers anytime after the Proejct’s effectiveness|\n|Data source/ Agency|ESCOM|\n|Verification Entity|IVA|\n|Procedure|ESCOM to provide CRM customer list and billed customer list to IVA; The IVA will do verification, certify the achievement<br>of results and eligible expenditures|\n\n\n|3.1. ESCOM has processed 95% of maintenance incidents through its MIS over the previous 12 months|Col2|\n|---|---|\n|Formula|**ESCOM maintenance incidents processed in the MIS > 95% in the past 12 months**|\n|Description|ESCOM has processed 95% incidentcs in its MIS|\n|Data source/ Agency|ESCOM|\n|Verification Entity|IVA|\n|Procedure|ESCOM process all maintenance records processed in the system, and details of all maintenance incidents received at<br>the call center. The IVA will verify this information, certify the achievement of results, and confirm eligible expenditures.|\n\n\n|3.2. ESCOM MIS electrification dashboard fully operationalized (Yes/No)|Col2|\n|---|---|\n|Formula|**ESCOM will provide its electrification dashboard **|\n|Description|Electrification dashboard provided|\n\nMention: \"geo-location data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Utility must capture location data for 95 percent of billed customers as a disbursement condition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004269:29:1", "occurrence_id": "225461cd0037276ae7af2849", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  this project – prepare\nstandardized framework contract(s) for electrification materials. The PBC will be triggered once at least one of the\nframework contracts has been prepared and executed with one or more suppliers. Eligible expenditures under this\nPBC will include new grid connections, amounting to 10 percent of the Project's funding allocation for grid\nconnections\nb) **_PBC 2:_** _ESCOM has recorded geospatial information for at least 95 percent of its customers_ **_._** ESCOM currently\n\ncaptures location data for only about 75 percent of its customers in its system _._ The lack of precise location data for\nthe remaining 25 percent hinders ESCOM’s ability to conduct efficient network maintenance, plan grid expansion,\nand manage faults, and increases fraud risk from inaccurately reported connections. These inefficiencies and risks\nare likely to escalate with the rapid electrification proposed under the Project. Under this PBC, ESCOM will be\nrequired to have digitized locational data for 95 percent of its customers and integrate this data into its customer\ndatabase. This should include geospatial data for customer location and a mapping of customers to connection\npoints (transformers and MVs). The PBC provides an incentive for ESCOM to log each new connection’s location,\nmap it to distribution assets, and link this information with its internal maintenance, fault management, and\ncustomer relations systems. Eligible expenditures under this PBC will include new grid connections, amounting to\n10 percent of the Project's funding allocation for grid connections.\nc) **_PBC 3:_** _ESCOM has operationalized an electrification dashboard in its Management Information Systems (MIS) and_\n\n_has processed 95 percent of maintenance incidents through its MIS over the previous 12 months._ Insufficient and\ndelayed network maintenance has negatively impacted the reliability and efficiency of ESCOM’s power supply,\nresulting in distribution losses exceeding 20 percent in recent years and a high number of transformer failures and\nservice outages\n\nMention: \"geospatial information\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Currently only about 75 percent of customers have location data, blocking the PBC target.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004223:18:0", "occurrence_id": "54e49a221073ba65bf6c9115", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKyrgyz Republic: Water Supply and Sanitation Universal Access Program -1 Project (P500620)\n\n\nlandslides, with Osh and Jalalabad regions being at the highest risk. In 2024, at least 23 villages in Osh suffered from water\nsupply disruptions due to landslides. <sup>24</sup> [^24: Asian Development Bank. 2023. Atlas of Landslides in the Kyrgyz Republic, 2023.] The lack of sanitation is also a major source of contamination for individual and\ncommunal groundwater sources during climate change-exacerbated flood events.\n\n\n11. **The poor performance of WSS services is particularly critical for women, who bear the burden of water provision at**\n**the household level, yet they are not an integral part of policy development and decision-making.** In the Kyrgyz Republic,\nas is generally the case in developing countries, women are most likely to be responsible for fetching water for households,\nand girls are nearly twice as likely as boys to bear the responsibility and spend more time doing it each day (a disparity\nwhich could be exacerbated with climate change induced droughts). <sup>25,26</sup> [^25: https://www.who.int/publications/m/item/progress-on-household-drinking-water--sanitation-and-hygiene-2000-2022---special-focus-on-gender] [^26: National Statistical Committee and UNICEF. 2019. Kyrgyzstan Multiple Indicator Cluster Survey 2018, Survey Findings Report. Bishkek.] However, women are underrepresented in the\nWSS sector in the country. The rapid assessment in 2022 indicated that women comprise 25 percent of staff, 32 percent\nof staff in technical positions, and only 15 percent in managerial positions in urban utilities. In rural service providers,\nSIASAR reports that around 30 percent of the staff are women and work primarily as accountants or controllers. There are\nno women in managerial or technical positions, as confirmed by the evidence from the ongoing World Bank-financed\nprojects. This gender gap is mainly explained by sociocultural norms in what is\n\nMention: \"Atlas of Landslides in the Kyrgyz Republic\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Maps landslide risk identifying Osh and Jalalabad as highest.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004223:18:0", "occurrence_id": "27f7958ed17ec64c52789586", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKyrgyz Republic: Water Supply and Sanitation Universal Access Program -1 Project (P500620)\n\n\nlandslides, with Osh and Jalalabad regions being at the highest risk. In 2024, at least 23 villages in Osh suffered from water\nsupply disruptions due to landslides. <sup>24</sup> [^24: Asian Development Bank. 2023. Atlas of Landslides in the Kyrgyz Republic, 2023.] The lack of sanitation is also a major source of contamination for individual and\ncommunal groundwater sources during climate change-exacerbated flood events.\n\n\n11. **The poor performance of WSS services is particularly critical for women, who bear the burden of water provision at**\n**the household level, yet they are not an integral part of policy development and decision-making.** In the Kyrgyz Republic,\nas is generally the case in developing countries, women are most likely to be responsible for fetching water for households,\nand girls are nearly twice as likely as boys to bear the responsibility and spend more time doing it each day (a disparity\nwhich could be exacerbated with climate change induced droughts). <sup>25,26</sup> [^25: https://www.who.int/publications/m/item/progress-on-household-drinking-water--sanitation-and-hygiene-2000-2022---special-focus-on-gender] [^26: National Statistical Committee and UNICEF. 2019. Kyrgyzstan Multiple Indicator Cluster Survey 2018, Survey Findings Report. Bishkek.] However, women are underrepresented in the\nWSS sector in the country. The rapid assessment in 2022 indicated that women comprise 25 percent of staff, 32 percent\nof staff in technical positions, and only 15 percent in managerial positions in urban utilities. In rural service providers,\nSIASAR reports that around 30 percent of the staff are women and work primarily as accountants or controllers. There are\nno women in managerial or technical positions, as confirmed by the evidence from the ongoing World Bank-financed\nprojects. This gender gap is mainly explained by sociocultural norms in what is\n\nMention: \"Kyrgyzstan Multiple Indicator Cluster Survey 2018\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Findings report behind WSS access and gender staffing figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004240:16:0", "occurrence_id": "8e2c1142ae1bf65f02ca07fe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRajasthan Highway Modernization Project (P501071)\n\n\nsuch as entrenched social norms, limited access to skilled jobs, and challenging workplace conditions. Furthermore,\nwomen are vastly underrepresented in transport-related industries, averaging only 17 percent of the transport workforce\nacross 46 countries. Specifically, in Rajasthan, female employment in the transport and storage sector is alarmingly low at\njust 1.3 percent, according to PLFS for 2023-2024. Granular statistics on women's waged employment within India's\ntransport sector are scarce; nonetheless, PLFS 2021-2022 indicates that only 5.3 percent of women in India overall are\nregular wage/salaried employees. Various barriers restrict women’s entry into and retention in the labor market, including\ncultural norms, workplace safety concerns, and a lack of training and mentorship.\n\n\n13. **Rajasthan is prioritizing the decarbonization and digitalization of its passenger transport services to build a**\n**more sustainable and efficient transportation network** . In August 2022, the DTRS introduced the Electric Vehicle (EV)\nPolicy, aimed at promoting eco-friendly transport, reducing emissions, and enhancing energy security. The policy includes\nfinancial incentives for EV buyers, such as subsidies and registration fee exemptions, alongside plans for a comprehensive\ncharging infrastructure across the state. However, progress has been slow, and further streamlined measures are needed.\nThe GoR is also advancing digitalization initiatives in transport services, such as implementing intelligent transportation\nsystems (ITS), real-time passenger information, automated fare collection, and smart mobility solutions, including\nintegrated travel card across different transport modes. While challenges remain, particularly in infrastructure investment\nand technology adoption, Rajasthan aims to address these through PPPs, government grants, and collaboration with local\ncommunities and technology providers, fostering innovation and economic growth.\n\n\n**II.** **PROJECT DESCRIPTION**\n\n\n14. **This Project builds on the foundational achievements\n\nMention: \"PLFS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Female employment in transport and storage just 1.3 percent in 2023-24.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004269:44:2", "occurrence_id": "570b259e963dde237638b72a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *.**|\n|Frequency|Once - Upon achievement of the target|\n|Data source|IVA verification through Customer Relationship Management (CRM) system|\n|Methodology for Data<br>Collection|ESCOM to provide CRM customer list and billed customer list to IVA. The IVA to verify and certify the achievement of<br>results and eligible expenditures.|\n|Responsibility for Data<br>Collection|ESCOM and IVA|\n|ESCOM MIS electrification dashboard fully operationalized (Yes/No)|ESCOM MIS electrification dashboard fully operationalized (Yes/No)|\n\n\n\nPage 39\n\nMention: \"CRM customer list\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Utility supplies the CRM list to the independent verifier for certification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004269:44:2", "occurrence_id": "524605a7495c93561f592646", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *.**|\n|Frequency|Once - Upon achievement of the target|\n|Data source|IVA verification through Customer Relationship Management (CRM) system|\n|Methodology for Data<br>Collection|ESCOM to provide CRM customer list and billed customer list to IVA. The IVA to verify and certify the achievement of<br>results and eligible expenditures.|\n|Responsibility for Data<br>Collection|ESCOM and IVA|\n|ESCOM MIS electrification dashboard fully operationalized (Yes/No)|ESCOM MIS electrification dashboard fully operationalized (Yes/No)|\n\n\n\nPage 39\n\nMention: \"billed customer list\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Billing records cross-checked against the CRM list to confirm connections.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004269:45:0", "occurrence_id": "044335b035e2049d8ad788d8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nASCENT AFE MPA - Malawi Energy Access Program (P502464)\n\n|Description|This binary target is achieved once the IVA confirms ESCOM MIS electrification dashboard as fully operational.|\n|---|---|\n|Frequency|Once – Upon achievement of the target|\n|Data source|IVA report, ESCOM MIS|\n|Methodology for Data<br>Collection|ESCOM will provide its electrification dashboard to IVA. The IVA will verify that dashboard is fully operational, certify the<br>achievement of results, and confirm eligible expenditures.|\n|Responsibility for Data<br>Collection|ESCOM and IVA|\n|Maintenance incidents processed through ESCOM MIS in 12 months time (Percentage)|Maintenance incidents processed through ESCOM MIS in 12 months time (Percentage)|\n|Description|The target is achieved once ESCOM demonstrates that more than 95% of maintenance incidents over a period of 12<br>months have been processed through the MIS system.|\n|Frequency|Once – Upon achievement of the target|\n|Data source|IVA verification report, MIS system|\n|Methodology for Data<br>Collection|ESCOM to process all maintenance records processed in the system, and details of all maintenance incidents received at<br>the call center. The IVA will verify this information, certify the achievement of results, and confirm eligible expenditures.|\n|Responsibility for Data<br>Collection|ESCOM and IVA|\n\n\n|Clean Cooking Solutions|Col2|\n|---|---|\n|Households provided with new or improved access to clean cooking solutions (Number)|Households provided with new or improved access to clean cooking solutions (Number)|\n|Description|This indicator will measure the number of households provided with new or improved access to clean cooking<br>solutions under the\n\nMention: \"maintenance records processed in the system\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Twelve months of maintenance incidents processed in the MIS evidence the dashboard target.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004278:4:1", "occurrence_id": "f80c08965f4acbcb58e5b74a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >\n\n\n**10.** **Female business ownership is limited in Egypt, but it is higher amongst early-stage firms.** Central Agency for\nPublic Mobilization and Statistics (CAPMAS) estimates that 10 percent of registered firms were women-owned in 2018.\nEncouragingly, 31 percent of early-stage entrepreneurs are women. <sup>12</sup> [^12: Global Entrepreneurship Monitor Egypt 2021-22]\n\n**11.** **Private sector productivity, sales, and exports are modest.** Estimates <sup>13</sup> [^13: Enterprise survey data (2019-2023)] suggest that median labor productivity in\nEgyptian manufacturing is about US$ 5,460 per worker per year, below countries like Tunisia (US$ 6,900) or Vietnam (US$\n7,690). Between 2018 and 2019, registered firms in Egypt experienced 11.3 percent decline in real annual sales. <sup>14</sup> [^14: World Bank Enterprise Surveys 2020.] In 2021,\nafter the most severe COVID effects and the effects of the Russian invasion of Ukraine, business discontinuation rates\nwere at 10.9 percent, the highest in 5 years, and higher than the Middle East and North Africa (MENA) average and middleincome average in the same year. <sup>15</sup> [^15: Global Entrepreneurship Monitor Egypt 2021-22.] These effects are not limited to firms directly exposed to global value chains; a survey\nof micro- and small enterprises in Upper Egypt shows a sharp decline in sales from 2021 to 2022, and an increase in the\nratio of firms with outstanding financial liabilities in the same period. <sup>16</sup> [^16: Business Pulse Survey with panel data from a representative sample in Sohag, Qena, Minya and Assiut.] The proportion of Egyptian firms that export\ndirectly or indirectly has remained at 7-8 percent since 2013.\n\n\n**12.** **\n\nMention: \"Global Entrepreneurship Monitor Egypt\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"31 percent of early-stage entrepreneurs are women.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004278:4:1", "occurrence_id": "4deb243f742b06c757865e35", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >\n\n\n**10.** **Female business ownership is limited in Egypt, but it is higher amongst early-stage firms.** Central Agency for\nPublic Mobilization and Statistics (CAPMAS) estimates that 10 percent of registered firms were women-owned in 2018.\nEncouragingly, 31 percent of early-stage entrepreneurs are women. <sup>12</sup> [^12: Global Entrepreneurship Monitor Egypt 2021-22]\n\n**11.** **Private sector productivity, sales, and exports are modest.** Estimates <sup>13</sup> [^13: Enterprise survey data (2019-2023)] suggest that median labor productivity in\nEgyptian manufacturing is about US$ 5,460 per worker per year, below countries like Tunisia (US$ 6,900) or Vietnam (US$\n7,690). Between 2018 and 2019, registered firms in Egypt experienced 11.3 percent decline in real annual sales. <sup>14</sup> [^14: World Bank Enterprise Surveys 2020.] In 2021,\nafter the most severe COVID effects and the effects of the Russian invasion of Ukraine, business discontinuation rates\nwere at 10.9 percent, the highest in 5 years, and higher than the Middle East and North Africa (MENA) average and middleincome average in the same year. <sup>15</sup> [^15: Global Entrepreneurship Monitor Egypt 2021-22.] These effects are not limited to firms directly exposed to global value chains; a survey\nof micro- and small enterprises in Upper Egypt shows a sharp decline in sales from 2021 to 2022, and an increase in the\nratio of firms with outstanding financial liabilities in the same period. <sup>16</sup> [^16: Business Pulse Survey with panel data from a representative sample in Sohag, Qena, Minya and Assiut.] The proportion of Egyptian firms that export\ndirectly or indirectly has remained at 7-8 percent since 2013.\n\n\n**12.** **\n\nMention: \"Enterprise survey data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Median manufacturing labour productivity of about US$5,460 per worker.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004278:4:1", "occurrence_id": "39519abdf9062ebab6b2c4fe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >\n\n\n**10.** **Female business ownership is limited in Egypt, but it is higher amongst early-stage firms.** Central Agency for\nPublic Mobilization and Statistics (CAPMAS) estimates that 10 percent of registered firms were women-owned in 2018.\nEncouragingly, 31 percent of early-stage entrepreneurs are women. <sup>12</sup> [^12: Global Entrepreneurship Monitor Egypt 2021-22]\n\n**11.** **Private sector productivity, sales, and exports are modest.** Estimates <sup>13</sup> [^13: Enterprise survey data (2019-2023)] suggest that median labor productivity in\nEgyptian manufacturing is about US$ 5,460 per worker per year, below countries like Tunisia (US$ 6,900) or Vietnam (US$\n7,690). Between 2018 and 2019, registered firms in Egypt experienced 11.3 percent decline in real annual sales. <sup>14</sup> [^14: World Bank Enterprise Surveys 2020.] In 2021,\nafter the most severe COVID effects and the effects of the Russian invasion of Ukraine, business discontinuation rates\nwere at 10.9 percent, the highest in 5 years, and higher than the Middle East and North Africa (MENA) average and middleincome average in the same year. <sup>15</sup> [^15: Global Entrepreneurship Monitor Egypt 2021-22.] These effects are not limited to firms directly exposed to global value chains; a survey\nof micro- and small enterprises in Upper Egypt shows a sharp decline in sales from 2021 to 2022, and an increase in the\nratio of firms with outstanding financial liabilities in the same period. <sup>16</sup> [^16: Business Pulse Survey with panel data from a representative sample in Sohag, Qena, Minya and Assiut.] The proportion of Egyptian firms that export\ndirectly or indirectly has remained at 7-8 percent since 2013.\n\n\n**12.** **\n\nMention: \"survey\nof micro- and small enterprises\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Upper Egypt MSE survey showing sharp sales decline from 2021 to 2022.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004278:4:1", "occurrence_id": "1871e67aa6d870cbbca47bb4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >\n\n\n**10.** **Female business ownership is limited in Egypt, but it is higher amongst early-stage firms.** Central Agency for\nPublic Mobilization and Statistics (CAPMAS) estimates that 10 percent of registered firms were women-owned in 2018.\nEncouragingly, 31 percent of early-stage entrepreneurs are women. <sup>12</sup> [^12: Global Entrepreneurship Monitor Egypt 2021-22]\n\n**11.** **Private sector productivity, sales, and exports are modest.** Estimates <sup>13</sup> [^13: Enterprise survey data (2019-2023)] suggest that median labor productivity in\nEgyptian manufacturing is about US$ 5,460 per worker per year, below countries like Tunisia (US$ 6,900) or Vietnam (US$\n7,690). Between 2018 and 2019, registered firms in Egypt experienced 11.3 percent decline in real annual sales. <sup>14</sup> [^14: World Bank Enterprise Surveys 2020.] In 2021,\nafter the most severe COVID effects and the effects of the Russian invasion of Ukraine, business discontinuation rates\nwere at 10.9 percent, the highest in 5 years, and higher than the Middle East and North Africa (MENA) average and middleincome average in the same year. <sup>15</sup> [^15: Global Entrepreneurship Monitor Egypt 2021-22.] These effects are not limited to firms directly exposed to global value chains; a survey\nof micro- and small enterprises in Upper Egypt shows a sharp decline in sales from 2021 to 2022, and an increase in the\nratio of firms with outstanding financial liabilities in the same period. <sup>16</sup> [^16: Business Pulse Survey with panel data from a representative sample in Sohag, Qena, Minya and Assiut.] The proportion of Egyptian firms that export\ndirectly or indirectly has remained at 7-8 percent since 2013.\n\n\n**12.** **\n\nMention: \"panel data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Representative panel from four Upper Egypt governorates behind the pulse survey.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004278:4:2", "occurrence_id": "64bf9a155906c0df044db297", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 12.** **<mark>Firms are increasingly exposed to climate related vulnerabilities as documented in the Egypt NDC and Country</mark>**\n**<mark>Climate Development Report (CCDR).</mark>** <mark>Agriculture—Egypt’s largest employer—is likely to suffer from the reduction in</mark>\n<mark>available arable lands and production yields due to changes in water and heat levels. This could have negative spillovers</mark>\n<mark>into the agro-manufacturing industry. Similarly, warming water and acidification is affecting Egypt’s coral reefs, which are</mark>\n<mark>estimated to drive 86 percent of the US$ 7 billion in annual revenues from Egypt’s tourism industry. While only 1.4 percent</mark>\n\n\n8 https://censusinfo.capmas.gov.eg/Metadata-en-v4.2/index.php/catalog/405\n9 Law 152 of 2020 on Development of MSMEs enacted in July 2020 (“the MSME Law”) introduced new definitions of MSMEs based on annual\nturnover. This document uses the 2020 definition.\n10 Defined as entrepreneurs in the process of setting up a business or owners/managers of businesses that are up to 3.5 years old.\n11 Disrupt Africa, Egypt Startup Ecosystem Report 2021\n12 Global Entrepreneurship Monitor Egypt 2021-22\n13 Enterprise survey data (2019-2023)\n14 World Bank Enterprise Surveys 2020.\n15 Global Entrepreneurship Monitor Egypt 2021-22.\n16 Business Pulse Survey with panel data from a representative sample in Sohag, Qena, Minya and Assiut.\n\n\nPage 4\n\nMention: \"World Bank Enterprise Surveys 2020\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Round used for firm-level climate exposure and business environment indicators.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004278:4:2", "occurrence_id": "db0eb36be444fd262294df44", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 12.** **<mark>Firms are increasingly exposed to climate related vulnerabilities as documented in the Egypt NDC and Country</mark>**\n**<mark>Climate Development Report (CCDR).</mark>** <mark>Agriculture—Egypt’s largest employer—is likely to suffer from the reduction in</mark>\n<mark>available arable lands and production yields due to changes in water and heat levels. This could have negative spillovers</mark>\n<mark>into the agro-manufacturing industry. Similarly, warming water and acidification is affecting Egypt’s coral reefs, which are</mark>\n<mark>estimated to drive 86 percent of the US$ 7 billion in annual revenues from Egypt’s tourism industry. While only 1.4 percent</mark>\n\n\n8 https://censusinfo.capmas.gov.eg/Metadata-en-v4.2/index.php/catalog/405\n9 Law 152 of 2020 on Development of MSMEs enacted in July 2020 (“the MSME Law”) introduced new definitions of MSMEs based on annual\nturnover. This document uses the 2020 definition.\n10 Defined as entrepreneurs in the process of setting up a business or owners/managers of businesses that are up to 3.5 years old.\n11 Disrupt Africa, Egypt Startup Ecosystem Report 2021\n12 Global Entrepreneurship Monitor Egypt 2021-22\n13 Enterprise survey data (2019-2023)\n14 World Bank Enterprise Surveys 2020.\n15 Global Entrepreneurship Monitor Egypt 2021-22.\n16 Business Pulse Survey with panel data from a representative sample in Sohag, Qena, Minya and Assiut.\n\n\nPage 4\n\nMention: \"Business Pulse Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Pulse survey with regional panel supplying firm-level shock data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004223:17:2", "occurrence_id": "3922b9bbe45d53948f835141", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of these facilities, but they lack the resources to do so.\n\n\n10. **The growing climate vulnerability exacerbates the limited WSS service reliability.** Groundwater accounts for more\nthan 85 percent <sup>23</sup> of the water supply in the Kyrgyz Republic, with more than a third of existing reserves currently being\nexploited. However, with the increasingly intense and prolonged drought combined with depleted glaciers exacerbated\nby climate change and growing water demand and abstraction, water availability is compromised, particularly during\nsummer, which is becoming hotter and thus more drought prone. In several settlements, water operators have challenges\nmaintaining more than eight hours of supply. Further, the extremely low temperatures during winter, which are becoming\nfrequent and more severe, result in infrastructure failure for water supply and wastewater, leading to prolonged service\ninterruptions. In addition, increasing landslide disaster events cause major infrastructure failure and service disruption.\nAccording to the Ministry of Emergency Situations, close to 30 percent of the Kyrgyz Republic settlements are at risk of\n\n\n18 Sistema de Información de Agua y Saneamiento Rural, an initiative initiated in the Latin America and Caribbean countries.\n19 Based on SIDDWSWD data.\n20 Based on SIASAR data for 2019-2020.\n21 The implementation of the results-based incentive grant scheme for sanitation improvement in households under the SRWSSDP showed low\ncommitment of the households due to high costs (at least US$1,000).\n22 Local self-governance bodies\n23 Karimov, T. Kh. et al. 2019. Analysis of Groundwater Resources in the Kyrgyz Republic. Journal of Environmental Management and Tourism, [S.l.],\n<u>v. 10, n. 5, p. 984-990, ISSN 2068-7729.</u>\n\n\nPage 3\n\nMention: \"SIDDWSWD data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Rural water and sanitation information system supplying service performance data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004223:17:2", "occurrence_id": "dc1b57b912b69fd5b2a1ddbb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of these facilities, but they lack the resources to do so.\n\n\n10. **The growing climate vulnerability exacerbates the limited WSS service reliability.** Groundwater accounts for more\nthan 85 percent <sup>23</sup> of the water supply in the Kyrgyz Republic, with more than a third of existing reserves currently being\nexploited. However, with the increasingly intense and prolonged drought combined with depleted glaciers exacerbated\nby climate change and growing water demand and abstraction, water availability is compromised, particularly during\nsummer, which is becoming hotter and thus more drought prone. In several settlements, water operators have challenges\nmaintaining more than eight hours of supply. Further, the extremely low temperatures during winter, which are becoming\nfrequent and more severe, result in infrastructure failure for water supply and wastewater, leading to prolonged service\ninterruptions. In addition, increasing landslide disaster events cause major infrastructure failure and service disruption.\nAccording to the Ministry of Emergency Situations, close to 30 percent of the Kyrgyz Republic settlements are at risk of\n\n\n18 Sistema de Información de Agua y Saneamiento Rural, an initiative initiated in the Latin America and Caribbean countries.\n19 Based on SIDDWSWD data.\n20 Based on SIASAR data for 2019-2020.\n21 The implementation of the results-based incentive grant scheme for sanitation improvement in households under the SRWSSDP showed low\ncommitment of the households due to high costs (at least US$1,000).\n22 Local self-governance bodies\n23 Karimov, T. Kh. et al. 2019. Analysis of Groundwater Resources in the Kyrgyz Republic. Journal of Environmental Management and Tourism, [S.l.],\n<u>v. 10, n. 5, p. 984-990, ISSN 2068-7729.</u>\n\n\nPage 3\n\nMention: \"SIASAR data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Regional rural WSS information system used for 2019-20 performance.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004289:4:2", "occurrence_id": "45f43b567a566239cd0d376b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , mandate and operations of financial stability committee, and crisis communications framework.\n\n\n**15.** **Upgrading the regulatory and supervisory capacity of BB is required to safeguard market confidence and foster**\n**sustainable financial intermediation.** Bangladesh’s ability to achieve its ambitious growth targets depends on stable and\ngrowing financial intermediation, which in turn calls for urgent upgrading of BB’s capacity for regulation and supervision.\nTo achieve BB’s aspiration to become a “technology-first” central bank in line with the approach of _SMART Bangladesh –_\n_Vision 2041_, corresponding improvements are required to upgrade BB’s legacy core financial IT infrastructure, strengthen\nregulatory and supervisory framework and BB capacity, enhance quality of financial sector statistics and reporting, and\nintroduce RegTech and SupTech for enhanced regulatory reporting and supervisory response.\n\n\n**<mark>16.</mark>** **<mark>While the banking sector has shown rapid growth in loans and deposits over the past decade, private sector</mark>**\n**<mark>access to credit is now constrained by tightened liquidity in the banking sector and rising interest rates.</mark>** <mark>Access to finance</mark>\n<mark>was the identified as second highest business environment constraint (after electricity) in the Bangladesh 2022 Enterprise</mark>\n<mark>Survey. Private sector credit slowed down to 9.9 percent in the first nine months of FY24 (July 2023–March 2024), from</mark>\n\n\n5 According to the Bangladesh Bank 2022 Financial Stability Report, the total volume of toxic loans (including rescheduled, restructured, classified as\nnon-performing, and written off) reached BDT 3.4 trillion (approximately US$30.5 billion) or 8.5 percent of FY2023 GDP.\n\n\nPage 4\n\nMention: \"financial sector statistics\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Improving statistics and reporting is a required upgrade alongside core IT infrastructure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004289:4:2", "occurrence_id": "7fd7fe36c747521c9ebceb50", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , mandate and operations of financial stability committee, and crisis communications framework.\n\n\n**15.** **Upgrading the regulatory and supervisory capacity of BB is required to safeguard market confidence and foster**\n**sustainable financial intermediation.** Bangladesh’s ability to achieve its ambitious growth targets depends on stable and\ngrowing financial intermediation, which in turn calls for urgent upgrading of BB’s capacity for regulation and supervision.\nTo achieve BB’s aspiration to become a “technology-first” central bank in line with the approach of _SMART Bangladesh –_\n_Vision 2041_, corresponding improvements are required to upgrade BB’s legacy core financial IT infrastructure, strengthen\nregulatory and supervisory framework and BB capacity, enhance quality of financial sector statistics and reporting, and\nintroduce RegTech and SupTech for enhanced regulatory reporting and supervisory response.\n\n\n**<mark>16.</mark>** **<mark>While the banking sector has shown rapid growth in loans and deposits over the past decade, private sector</mark>**\n**<mark>access to credit is now constrained by tightened liquidity in the banking sector and rising interest rates.</mark>** <mark>Access to finance</mark>\n<mark>was the identified as second highest business environment constraint (after electricity) in the Bangladesh 2022 Enterprise</mark>\n<mark>Survey. Private sector credit slowed down to 9.9 percent in the first nine months of FY24 (July 2023–March 2024), from</mark>\n\n\n5 According to the Bangladesh Bank 2022 Financial Stability Report, the total volume of toxic loans (including rescheduled, restructured, classified as\nnon-performing, and written off) reached BDT 3.4 trillion (approximately US$30.5 billion) or 8.5 percent of FY2023 GDP.\n\n\nPage 4\n\nMention: \"Bangladesh 2022 Enterprise\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Access to finance ranked second-highest business constraint after electricity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004290:10:1", "occurrence_id": "9296277b114e252fc5600b82", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  March 15, 2023, torrential rains caused flooding and further damage in regions affected\nby the devastating February 2023 earthquakes. Average Annual Losses (AALs) to GDP from earthquakes in Türkiye are\nestimated at US$10 billion, and impact 1 million people on average annually. Floods result in AALs to GDP of US$5 billion\nand impact an estimated 600,000 people on average annually. Türkiye is among the most affected regions for forest fire\nrisk in the world, while climate change induced heat waves and dry winds are increasing the occurrence of wildfires, with\ndevastating events already recorded in 2021 and 2023 <sup>2</sup> . Climate disasters also disproportionally affect women, youth,\ndisabled people, and other such groups in terms of labor force participation, unemployment, and relative asset losses,\namong other outcomes. This operation will address climate- and disaster-related risks and support adaptation by ensuring\nthat potential impacts of climate change are considered, and design and construction measures to strengthen climate\nresilience are applied. Türkiye’s Nationally Determined Contributions (NDCs) <sup>3</sup> and the <mark>Country Climate and Development</mark>\n<mark>Reports (</mark> CCDR) <sup>4</sup> indicate the need for reducing GHG emissions in buildings, which this operation will support by applying\nenergy efficiency measures and renewable energy generation in all new buildings in accordance with advanced\nrequirements. <sup>5</sup>\n\n\n**B. Sectoral and Institutional Context**\n\n7. **Micro, Small and Medium Enterprises (MSMEs) in Türkiye account for 99 percent of total registered businesses**\n**and make an important contribution to the Turkish economy** . According to KOSGEB’s SME data, about 15 percent of\nMSMEs in Türkiye are in the 11 earthquake-affected provinces (\n\nMention: \"KOSGEB’s SME data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"About 15 percent of MSMEs are in the eleven earthquake-affected provinces.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004283:44:2", "occurrence_id": "619d1b3f17cdbb8e79d23407", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  beneficiaries benefiting from improved access to<br>electric bus infrastructure and services. This is the number of female users who will ride the electric buses introduced<br>through the project from the start of the services to the date of project closure.|\n|Frequency|Once at project closure|\n|Data source|Ridership data reported by DTCA during the project implementation period.|\n|Methodology for Data<br>Collection|The ridership data will be collected from ticketing information reported and verified by DTCA through different sources<br>including the technology tools and verification measures. Youth segregation is to be made from the total ridership<br>number by using the male/female ratio reported in the most recent census data.|\n|Responsibility for Data<br>Collection|PIU - DTCA|\n|**Vehicle inspection centers in operation (Number)  **|**Vehicle inspection centers in operation (Number)  **|\n|Description|Number of vehicle inspection centers are in proper operation.|\n|Frequency|Semi-annual|\n|Data source|Progress reports of BRTA PIU and supporting documents.|\n|Methodology for Data<br>Collection|Document review, site visits and interviews.|\n|Responsibility for Data<br>Collection|PIU-BRTA|\n\n\n\nPage 32\n\nMention: \"census data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Latest census male/female ratio used to split ridership for the youth and gender indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004289:7:1", "occurrence_id": "2b51e850d6c26cd7c6e8f96f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , Electronic Know-Your-Customer (e-KYC) registry, climate\nchange database, complaints management system that will also incorporate citizen’s feedback, enhanced credit reporting\nand scoring system, secured transactions registry for movable assets), and adopt modern regulatory reporting (RegTech)\nand supervisory technology (SupTech) for banks and non-bank lenders to support BB transition to risk based consolidated\nsupervision, enhance consumer protection, and facilitate the development of new financial products and services.\n\n\n**26.** <u>Subcomponent 1.2. Strengthening BB’s Institutional Capacity: will support consultancy and training to facilitate</u>\nBB’s transition to, _inter alia_, risk-based supervision, adoption of modern supervisory practices for banks and non-banking\nfinancial institutions (NBFIs), implementation of international financial reporting standards, financial monitoring and AntiMoney Laundering (AML) practices, and cyber and data security.\n\n\n**Component 2: Strengthening Financial Sector Safety Net** (estimated budget US$ 95 million)\n\n\n**27.** This component will disburse funds against attainment of Performance-Based Conditions (PBCs) linked to the\nprogress achieved by BB with institutional reforms of DIS, problem bank intervention and resolution, crisis preparedness,\nand communication **.** The project funds will be disbursed in tranches based on the verification of achievement of the preagreed PBCs. The PBCs will be formulated based on the WB team’s assessment of critical actions necessary for the\nenhancement of the financial safety net, including the adoption of new legislation to bring DIS in compliance with\nInternational Association of Deposit Insurers (IADI) core principles and operationalize payouts procedure, strengthen\nlegislative framework for bank liquidation and resolution, complete asset quality review and develop NPL resolution\nstrategies for problem banks including state-owned banks, develop proper BB Enforcement Department with requisites\nskills, staff and capacity, enforce PCAs for undercapital\n\nMention: \"climate\nchange database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Climate database listed among the central bank's digital systems to be built.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004341:3:0", "occurrence_id": "262f73c02685293855033243", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDemocratic Republic of Congo Health Emergency Preparedness, Response, and Resilience Project(P504532)\n\n\n**D. Concept Description**\n\n\n**Note to Task Team:** The following sections are system generated and changes must be made in Data Sheet(s). **_Delete_**\n**_this note when finalizing the document._**\n\n\n\n\n\n**Note to Task Team:** This summary section is downloaded from the PCN data sheet and is editable. It should match\nthe text provided by E&S specialist. If it is revised after the initial download the task team must manually update the\nsummary in this section. **_Delete this note when finalizing the document._**\n\n\n**Note** : To view the Environmental and Social Risks and Impacts, refer to the Concept Stage ESRS Document. **_Delete_**\n**_this note when finalizing the document._**\n\n\n\n\n\n\n\nMar 20, 2024 Page 4 of 5\n\nMention: \"PCN data sheet\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"curate\", \"summary\": \"System-generated project concept note data sheet feeding the E&S summary section.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004290:27:0", "occurrence_id": "12c6b455fab4815f98a2d81b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye Small Industrial Estates Reconstruction and Regional Economic Recovery Project (P502837)\n\n\nlabor force participation rate for women is significantly lower than the national average. <sup>27</sup> According to the 2019\nEnterprise Surveys, the proportion of women-owned firms in southeast Anatolia (1 percent) and central east Anatolia (1.8\npercent) – the regions where most of the new SIEs will be located – are significantly lower. <sup>28</sup> Contributing factors to this\nwide gender gap include a high involvement in unpaid care and domestic work, which increased following the earthquake,\nand gender roles that restrict women’s participation in formal employment. According to a UN WOMEN survey conducted\nin April 2023 <sup>29</sup> and a KAGIDER-UN WOMEN brief, <sup>30</sup> 88 percent of women entrepreneurs surveyed after the earthquakes\nhalted their business operations, and 50 percent were unable to resume due to damaged infrastructure and equipment\nlosses. A significant 70 percent reported an increased burden of caregiving responsibilities for children, the elderly, and\ndisabled persons. An ILO post-earthquake report further notes that skill mismatches and a lack of sector-specific training\nseverely limited women’s business progress. <sup>31</sup> At the sectoral level, the Project targets manufacturing as well as\nmaintenance and repair services, which traditionally include male-dominated activities. To address these challenges and\nclose the gap in MSMEs being owned or managed by women, the Project’s PIU plans to advertise the application process\nto eligible women-owned or led MSMEs and prioritize them before opening the process to the wider pool of eligible\napplicants via a lottery system. The target is to reach 10 percent of women-owned or led -MSMEs financed via component\n1 and acquiring a new workshop, which will also have female\n\nMention: \"2019\nEnterprise Surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Women-owned firms at 1 percent in southeast Anatolia and 1.8 percent in central east Anatolia.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004290:27:0", "occurrence_id": "dfce21632ee690567c7214aa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye Small Industrial Estates Reconstruction and Regional Economic Recovery Project (P502837)\n\n\nlabor force participation rate for women is significantly lower than the national average. <sup>27</sup> According to the 2019\nEnterprise Surveys, the proportion of women-owned firms in southeast Anatolia (1 percent) and central east Anatolia (1.8\npercent) – the regions where most of the new SIEs will be located – are significantly lower. <sup>28</sup> Contributing factors to this\nwide gender gap include a high involvement in unpaid care and domestic work, which increased following the earthquake,\nand gender roles that restrict women’s participation in formal employment. According to a UN WOMEN survey conducted\nin April 2023 <sup>29</sup> and a KAGIDER-UN WOMEN brief, <sup>30</sup> 88 percent of women entrepreneurs surveyed after the earthquakes\nhalted their business operations, and 50 percent were unable to resume due to damaged infrastructure and equipment\nlosses. A significant 70 percent reported an increased burden of caregiving responsibilities for children, the elderly, and\ndisabled persons. An ILO post-earthquake report further notes that skill mismatches and a lack of sector-specific training\nseverely limited women’s business progress. <sup>31</sup> At the sectoral level, the Project targets manufacturing as well as\nmaintenance and repair services, which traditionally include male-dominated activities. To address these challenges and\nclose the gap in MSMEs being owned or managed by women, the Project’s PIU plans to advertise the application process\nto eligible women-owned or led MSMEs and prioritize them before opening the process to the wider pool of eligible\napplicants via a lottery system. The target is to reach 10 percent of women-owned or led -MSMEs financed via component\n1 and acquiring a new workshop, which will also have female\n\nMention: \"UN WOMEN survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Most women entrepreneurs surveyed halted operations after the earthquakes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004381:3:0", "occurrence_id": "01f653a35ca6561bf0f210b3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nThe Gambia Infrastructure Project (P504762)\n\n\nin 2024 <sup>1</sup> [^1: The Gambia Bureau of Statistics: The Gambia 2024 Population and Housing Census], has nearly doubled since 2000 <sup>2</sup> [^2: World Bank data], 63 percent of which are less than 25 years old <sup>3</sup> [^3: <mark>Hilger, Anne; Ng, Odyssia Sophie Si Jia; Wu, Nuoya.</mark> _<mark>Gambia, The - Human Capital Review (English).</mark>_ <mark>Washington, D.C.: World Bank Group. 2023</mark>] . Poverty rates were estimated\nat 53.4 percent <sup>4</sup> [^4: World Bank. 2022. The Gambia Poverty and Gender Assessment.] in 2020, up from 45.8 percent the previous year, due to COVID-19 pandemic undermining previous\nreduction gains. Approximately 21 percent live in extreme poverty when measured against the international threshold\nof $2.15 per person per day. <sup>5</sup> [^5: Ibid.] Gross domestic product (GDP) is projected to reach US$2.68 billion in 2024, which, with\nthe projected population growth, would bring The Gambia’s GDP per capita estimates to US$985 (US$ current). <sup>6</sup> [^6: International Monetary Fund data https://www.imf.org/external/datamapper/profile/GMB]\n\n\n2. **Rural poverty rates are highest in the Northeast, though a greater proportion of poor are concentrated in the more**\n**populous and increasingly urbanized Southwest of the country.** Seven of the ten poorest wards are in the sparsely\npopulated Kuntaur Local Government Area (LGA), where\n\nMention: \"The Gambia 2024 Population and Housing Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census giving the 2024 population and its age structure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004381:3:0", "occurrence_id": "b9ed66acf8a836fa925f69a6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nThe Gambia Infrastructure Project (P504762)\n\n\nin 2024 <sup>1</sup> [^1: The Gambia Bureau of Statistics: The Gambia 2024 Population and Housing Census], has nearly doubled since 2000 <sup>2</sup> [^2: World Bank data], 63 percent of which are less than 25 years old <sup>3</sup> [^3: <mark>Hilger, Anne; Ng, Odyssia Sophie Si Jia; Wu, Nuoya.</mark> _<mark>Gambia, The - Human Capital Review (English).</mark>_ <mark>Washington, D.C.: World Bank Group. 2023</mark>] . Poverty rates were estimated\nat 53.4 percent <sup>4</sup> [^4: World Bank. 2022. The Gambia Poverty and Gender Assessment.] in 2020, up from 45.8 percent the previous year, due to COVID-19 pandemic undermining previous\nreduction gains. Approximately 21 percent live in extreme poverty when measured against the international threshold\nof $2.15 per person per day. <sup>5</sup> [^5: Ibid.] Gross domestic product (GDP) is projected to reach US$2.68 billion in 2024, which, with\nthe projected population growth, would bring The Gambia’s GDP per capita estimates to US$985 (US$ current). <sup>6</sup> [^6: International Monetary Fund data https://www.imf.org/external/datamapper/profile/GMB]\n\n\n2. **Rural poverty rates are highest in the Northeast, though a greater proportion of poor are concentrated in the more**\n**populous and increasingly urbanized Southwest of the country.** Seven of the ten poorest wards are in the sparsely\npopulated Kuntaur Local Government Area (LGA), where\n\nMention: \"International Monetary Fund data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"GDP projection and per capita estimate cited with the datamapper URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004344:4:0", "occurrence_id": "7c463390f7c7452524409bfa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nScaling up Finance for Sustainable Agroforestry in Paraguay (P504535)\n\n\n**Figure 1 - Productivity (m3/ha/years) and harvesting period (years), international comparison.**\n\n\n**_Notes_** _: MAI stands for Mean Annual Increment and refers to the average annual increase in the volume of trees. The same axis applies for harvesting periods._ **_Sources_** _:_\n\n_A Forest’s Worth, World Bank, 2020; IFC; and a Forestry Survey developed during preparation_ .\n\n\n**7.** **The Paraguayan forestry sector is gaining momentum in terms of foreign investment.** Particularly, in the commercial\nplantations subsector, exports of timber and related products reached a total of USD 98.9 million in 2024, reflecting a\ngrowth of nearly 7 percent in the last year. <sup>11</sup> [^11: Based on internal document provided via personal communication with REDIEX, 2024.] Government initiatives have highlighted the sector’s potential for sustainable\nforestry, focusing on scaling up plantations for biomass, critical for meeting industrial demand and reducing dependence\non unlawfully harvested native wood. The Government is actively positioning Paraguay as a destination for pulp mills, with\nassociated needs for financing the planting of feedstock.\n\n\n**8.** **In agroforestry, sylvopastoral systems blending cattle ranching with forestry are also emerging in Paraguay.** <sup>12</sup> [^12: Villanueva, C., Casasola Coto, F., & Detlefsen Rivera, G. (2018).]\nPlanting under this system is less dense – around 15 percent less - than in pure forestry, which allows to grow fodder\nunder the canopy. Cattle grazing is then permitted after 12 months of sapling growth. Sylvopastoral diversifies the income\nof smallholders, while avoiding their displacement. Additionally, these systems reduce wildfire risk by lowering vegetation\ndensity and incorporating natural firebreaks. Compared to annual crops or\n\nMention: \"Forestry Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Preparation-phase survey supplying productivity and increment data behind Figure 1.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004381:3:2", "occurrence_id": "1abaaa8360976d303dd7c9c9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: /mark>**\n**<mark>access and mobility is increasingly crucial.</mark>** <mark>The</mark> Gambia has elaborated a bold vision for universal energy access\n(SDG7) and could potentially be among the first State’s in Sub-Saharan Africa to attain its objectives. <mark>Approximately</mark>\n<mark>85 percent of urban residents are connected to the electric grid, with rural areas lagging at around 32 percent</mark>\n<mark>connection rate. A significant shift is expected by the end of 2025 with the closure of ongoing electricity access projects</mark>\n<mark>expected to provide connections to 955 communities, primarily in rural Gambia. At the culmination of these projects,</mark>\n<mark>electricity access rates are expected to reach approximately 90 percent. T</mark> he electricity access initiatives place The\nGambia as a success case for the “Mission 300” agenda pioneered by the World Bank Group and the African\nDevelopment Bank. <mark>However, the country’s Rural Access Index (</mark> SDG 9.1.1) - <mark>the proportion of the rural population</mark>\n\n\n1 The Gambia Bureau of Statistics: The Gambia 2024 Population and Housing Census\n2 World Bank data\n3 <mark>Hilger, Anne; Ng, Odyssia Sophie Si Jia; Wu, Nuoya.</mark> _<mark>Gambia, The - Human Capital Review (English).</mark>_ <mark>Washington, D.C.: World Bank Group. 2023</mark>\n4 World Bank. 2022. The Gambia Poverty and Gender Assessment.\n5 Ibid.\n[6 International Monetary Fund data https://www.imf.org/external/datamapper/profile/GMB](https://www.imf\n\nMention: \"World Bank data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Population series used to show growth since 2000 alongside the rural access index.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004365:2:0", "occurrence_id": "37c8927b02a575f5018e37f4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nComoros National Water Resilience Project(P504691)\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n**1.** **The Union of Comoros (“Comoros”) is a small archipelagic state composed of an archipelago located at the**\n**northern entrance of the Mozambique Channel in the Indian Ocean.** The country’s total land area - 1,860 km <sup>2</sup>  - is\ndwarfed by an Exclusive Economic Zone (EEZ) 86 times as large - 160,000 km <sup>2</sup> . Ngazidja (Grande Comore), located in\nthe northwest, where the capital Moroni is situated, is the largest of the archipelago with 1,025 km². As of 2020, the\npopulation of Comoros stood at around 870,000 people and has been steadily increasing since 1960, with significant\ngrowth observed in rural areas.\n\n**2.** **The Comoros archipelago is exposed to many natural hazards – storms, cyclones, droughts, floods, earthquakes,**\n**volcanic activity, landslides and more.** The island nation is struggling in the face of deforestation, cyclones, rising sea\nlevels and drying rivers under changing climate conditions. These adverse effects are superimposed over inadequate\nwater resources management, inadequate water supply infrastructure, insufficient water treatment and water quality\nmonitoring.\n\n\n**3.** **The Union of Comoros is facing significant challenges due to climate-related impacts.** The World Bank’s Country\nClimate and Development Report (CCDR) for Comoros indicates that the island nation has already experienced an\nincrease in average annual temperature by 0.9 ℃, and projections indicate a further increase of 0.8 ℃ to 2.1 ℃ by 2060.\nThis rise in temperature\n\nMention: \"Country\nClimate and Development Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Records warming already observed, with further increase projected by 2060.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004344:5:0", "occurrence_id": "aec4356f2370f1a4d20456fe", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nScaling up Finance for Sustainable Agroforestry in Paraguay (P504535)\n\n\ndetailed flood risk data for Paraguay was obtained for improved project design, <sup>15</sup> while similar work will be completed for\ndrought and wildfire risks. Agroforestry developers, however, have strong incentives to invest in wildfire prevention and\ndrainage, to reduce performance risk. Furthermore, agroforestry projects supported by the Project must comply with\nForest Stewardship Council (FSC) certification, which provides its own assurances for mitigating such risks. <sup>16</sup>\n\n\n**11.** **Women are underrepresented in the commercial plantations sub-sector, particularly in activities such as planting,**\n**harvesting, and maintenance.** According to the forestry survey conducted during the Project’s preparation phase, <sup>17</sup> [^17: Forestry Survey. World Bank, 2024. Details included in the Economic and Financial Analysis Annex 2.]\nwomen account for only 15 percent of total employment in commercial plantations development companies. The sector\nhas historically relied on male labor in these areas, shaping workforce patterns and reflecting, in part, lower technical\ncapacity among women for these roles.\n\n\n**_Approach of the Project to resolve challenges_**\n\n\n**12.** **The rationale for using AFD as Project Implementing Agency lies in its role in mobilizing long-term capital in**\n**Paraguay.** AFD currently offers a forestry credit line – _Proforestal_ - with terms of up to 12 years and grace periods for\nprincipal and interest. According to official records, the total amount approved under Proforestal reached US$120 million\nas of July 2025, at an interest rate of 7.75 percent in local currency and 6.1 percent in dollars to first-tier banks, which\nthen apply a commercial spread to determine the final interest rates charged to beneficiaries. Eligible activities in\n_Proforestal_ include commercial and\n\nMention: \"flood risk data for Paraguay\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Detailed flood risk data obtained to improve project design; drought and wildfire to follow.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004344:5:0", "occurrence_id": "744fc8bf2ff626abdccdc311", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nScaling up Finance for Sustainable Agroforestry in Paraguay (P504535)\n\n\ndetailed flood risk data for Paraguay was obtained for improved project design, <sup>15</sup> while similar work will be completed for\ndrought and wildfire risks. Agroforestry developers, however, have strong incentives to invest in wildfire prevention and\ndrainage, to reduce performance risk. Furthermore, agroforestry projects supported by the Project must comply with\nForest Stewardship Council (FSC) certification, which provides its own assurances for mitigating such risks. <sup>16</sup>\n\n\n**11.** **Women are underrepresented in the commercial plantations sub-sector, particularly in activities such as planting,**\n**harvesting, and maintenance.** According to the forestry survey conducted during the Project’s preparation phase, <sup>17</sup> [^17: Forestry Survey. World Bank, 2024. Details included in the Economic and Financial Analysis Annex 2.]\nwomen account for only 15 percent of total employment in commercial plantations development companies. The sector\nhas historically relied on male labor in these areas, shaping workforce patterns and reflecting, in part, lower technical\ncapacity among women for these roles.\n\n\n**_Approach of the Project to resolve challenges_**\n\n\n**12.** **The rationale for using AFD as Project Implementing Agency lies in its role in mobilizing long-term capital in**\n**Paraguay.** AFD currently offers a forestry credit line – _Proforestal_ - with terms of up to 12 years and grace periods for\nprincipal and interest. According to official records, the total amount approved under Proforestal reached US$120 million\nas of July 2025, at an interest rate of 7.75 percent in local currency and 6.1 percent in dollars to first-tier banks, which\nthen apply a commercial spread to determine the final interest rates charged to beneficiaries. Eligible activities in\n_Proforestal_ include commercial and\n\nMention: \"forestry survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Preparation survey showing women are 15 percent of plantation employment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004344:5:0", "occurrence_id": "2951d7cd681dbbe2ee92eb3b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nScaling up Finance for Sustainable Agroforestry in Paraguay (P504535)\n\n\ndetailed flood risk data for Paraguay was obtained for improved project design, <sup>15</sup> while similar work will be completed for\ndrought and wildfire risks. Agroforestry developers, however, have strong incentives to invest in wildfire prevention and\ndrainage, to reduce performance risk. Furthermore, agroforestry projects supported by the Project must comply with\nForest Stewardship Council (FSC) certification, which provides its own assurances for mitigating such risks. <sup>16</sup>\n\n\n**11.** **Women are underrepresented in the commercial plantations sub-sector, particularly in activities such as planting,**\n**harvesting, and maintenance.** According to the forestry survey conducted during the Project’s preparation phase, <sup>17</sup> [^17: Forestry Survey. World Bank, 2024. Details included in the Economic and Financial Analysis Annex 2.]\nwomen account for only 15 percent of total employment in commercial plantations development companies. The sector\nhas historically relied on male labor in these areas, shaping workforce patterns and reflecting, in part, lower technical\ncapacity among women for these roles.\n\n\n**_Approach of the Project to resolve challenges_**\n\n\n**12.** **The rationale for using AFD as Project Implementing Agency lies in its role in mobilizing long-term capital in**\n**Paraguay.** AFD currently offers a forestry credit line – _Proforestal_ - with terms of up to 12 years and grace periods for\nprincipal and interest. According to official records, the total amount approved under Proforestal reached US$120 million\nas of July 2025, at an interest rate of 7.75 percent in local currency and 6.1 percent in dollars to first-tier banks, which\nthen apply a commercial spread to determine the final interest rates charged to beneficiaries. Eligible activities in\n_Proforestal_ include commercial and\n\nMention: \"Forestry Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Survey cited in the footnote with details in the Economic and Financial Analysis annex.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004391:3:1", "occurrence_id": "0b59076956d589b6001d8733", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  growth strategy, which is\narticulated in the _White paper on immediate economic priorities for growth_, presented for the Ukraine Recovery\nConference in Berlin in June 2024. This Paper outlines four target areas: (i) macroeconomic stability, (ii) addressing\nbinding near-term growth constraints in security, energy, access to markets, labor, and logistics, (iii) increasing\neconomic potential, and (iv) institutional alignment with the EU.\n\n\n**Ukraine's economy heavily relies on transport and logistics for trade** . In the first 10 months of 2024, Ukrainian\nexports reached US$36.3 billion, surpassing 2023 totals. Over 110 million tons of goods were exported, with\nagriculture accounting for about 67 million tons. The Ukrainian Black Sea corridor, established in August 2023,\nfacilitated 61 percent of these exports. Remaining goods were transported via the EU-supported Solidarity Lanes.\nComplementing railways transport, road-based transport held roughly 30 percent of cargo and 20 percent of\npassenger turnover.\n\n\n**_<u>The need to maintain road infrastructure</u>_**\n\n\n**Ukraine has an extensive but largely undermaintained road network**, including about 170,000 kilometers of roads,\nwith 30 percent being of state importance. Despite having a highway density (14.3 km/1,000 km²) comparable to the\nEU average (19 km/1,000 km²), Ukraine scored only 2.4 out of 7 on the OECD perceived road quality index in 2018,\nemphasizing the urgent need for infrastructure investments. In 2018, a World Bank study estimated that the main\nstate roads required US$700 million annually for capital repairs over ten years, plus US$500 million per year for\nmaintenance. <sup>2</sup>\n\n\n**Since February 2022, Ukraine's transport infrastructure has been severely damaged, disrupting key import and**\n**export routes.** According to the R\n\nMention: \"OECD perceived road quality index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Score of 2.4 out of 7 despite highway density near the EU average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004336:2:0", "occurrence_id": "aec166adb83eb9e98d2543d1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSecond Identity and Targeting for Social Protection Project(P504398)\n\n\nOther Decision (as needed)\nN/A\n\n\n**B. Introduction and Context**\n\n**Country Context**\n\n\nMorocco, a country that has made significant strides in sustainable development, has been a beacon of progress since\n2000. Its ambitious social protection and health reforms have made public spending more equal and expanded the\nprotection of citizens against various risks. The country's political stability, large public investments, and institutional\nand sector reforms have further bolstered its development. Between 2019 and 2000, accelerated economic growth has\nled to a significant increase in income and a sharp decline in the national poverty rate. Extreme poverty was close to\nbeing eradicated, with a national poverty rate of just 1.7 percent. <sup>1</sup> [^1: Official Haut-Commissariat au Plan’s (HCP) rate, based on the _Enquête Nationale sur les Sources de Revenus (_ ENSR) 2019. The World Bank calculations based on data\nfrom the Household Consumption and Expenditures Survey 2013/14, HCP, and updated using quintile growth from ENSR 2019, indicate a three (3) percent rate.] The increased economic growth in Morocco has\nimproved life expectancy and access to basic public services and paved the way for significant public infrastructure\ndevelopment.\n\nHowever, over the past few years, Morocco has had to face challenges, including the impact of inflation and climate\nchange. These factors are expected to significantly affect future economic growth and shared prosperity, directly\nimpacting the poor, vulnerable, and rural households. The COVID-19 pandemic, in particular, led to the first recession\nin over two decades, with reduced economic activity, disrupted supply chains, and decreased demand for local goods\nand services. Inflation has also affected trade in 2022, leading to greater gross domestic product fluctuations and a\nslower economic recovery. As one of the most water-scarce countries in the world, Morocco's climate-related risks, such\nas drought\n\nMention: \"Household Consumption and Expenditures Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"2013/14 survey underpinning Bank poverty calculations, updated with later growth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004336:2:0", "occurrence_id": "91ce5d0ec209e94170de10f1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSecond Identity and Targeting for Social Protection Project(P504398)\n\n\nOther Decision (as needed)\nN/A\n\n\n**B. Introduction and Context**\n\n**Country Context**\n\n\nMorocco, a country that has made significant strides in sustainable development, has been a beacon of progress since\n2000. Its ambitious social protection and health reforms have made public spending more equal and expanded the\nprotection of citizens against various risks. The country's political stability, large public investments, and institutional\nand sector reforms have further bolstered its development. Between 2019 and 2000, accelerated economic growth has\nled to a significant increase in income and a sharp decline in the national poverty rate. Extreme poverty was close to\nbeing eradicated, with a national poverty rate of just 1.7 percent. <sup>1</sup> [^1: Official Haut-Commissariat au Plan’s (HCP) rate, based on the _Enquête Nationale sur les Sources de Revenus (_ ENSR) 2019. The World Bank calculations based on data\nfrom the Household Consumption and Expenditures Survey 2013/14, HCP, and updated using quintile growth from ENSR 2019, indicate a three (3) percent rate.] The increased economic growth in Morocco has\nimproved life expectancy and access to basic public services and paved the way for significant public infrastructure\ndevelopment.\n\nHowever, over the past few years, Morocco has had to face challenges, including the impact of inflation and climate\nchange. These factors are expected to significantly affect future economic growth and shared prosperity, directly\nimpacting the poor, vulnerable, and rural households. The COVID-19 pandemic, in particular, led to the first recession\nin over two decades, with reduced economic activity, disrupted supply chains, and decreased demand for local goods\nand services. Inflation has also affected trade in 2022, leading to greater gross domestic product fluctuations and a\nslower economic recovery. As one of the most water-scarce countries in the world, Morocco's climate-related risks, such\nas drought\n\nMention: \"ENSR 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Income sources survey giving the official rate and the quintile updates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004390:2:0", "occurrence_id": "2cfd1972e95b6c501b0caf9e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSaint Lucia Urban Resilient Flood Investment Project(P504998)\n\n\n\n\n\n\n\n**Note to Task Team:** End of system generated content, document is editable from here. **_Delete this note when_**\n**_finalizing the document._**\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n1. **Saint Lucia is a small island state located in the Lesser Antilles island chain between Saint Vincent to the south**\n**and Martinique to the north and has an estimated population of 180,000.** The island area measures 617 km <sup>2</sup> with\nnearly half of its population concentrated in the coastal zones of the north and south, such as Castries and Gros\nIslet. The island is volcanic in origin, largely composed of a north-south oriented mountainous interior. Saint Lucia’s\nclimate is classified as tropical rainforest, with a hurricane season running administratively from June 1 to November\n30 under the influence of southeast trade winds and a dry season from February 1 to May 31 when the trade winds\nshift to the northeast. The average annual rainfall is about 2000 mm, and the temperature is fairly constant\nthroughout the year varying between 30 <sup>o</sup> C during the day and 24 <sup>o</sup> C at night.\n\n2. **Favorable global supply developments, tighter monetary policy, and lower commodity prices drove inflation**\n**down from 4.1 percent in 2023 to 1.5 percent in 2024.** Since 2022, better government revenues and reduced public\nspending have led to primary surpluses. Furthermore, primary fiscal balance is expected to remain positive in the\nmedium term.\n\n\n3. **According to the most recent World Bank Debt Sustainability Analysis (May 2024), the public debt-GDP ratio is*\n\nMention: \"World Bank Debt Sustainability Analysis\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Most recent analysis giving the public debt-to-GDP ratio.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004381:4:1", "occurrence_id": "6523a4ccb8597f7385611a88", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and undignified. <sup>10</sup> Women, more often times poor and reliant on public transport to perform daily\neconomic activities that require trip chainage, are worst affected by this situation, making transport more costly for\nthem. <sup>11</sup> A lack of safe, reliable roads and transport services are among the barriers to women’s mobility in rural areas,\nwhich disproportionately affect rural women small-scale entrepreneurs access to markets, while also making travel\nmore expensive for women than men. Additionally, surveys reveal that long distances to obstetric care facilities (56\npercent of respondents) and lack of transportation (20 percent of respondents) limit women's ability to access and\nutilization of services. <sup>12</sup> While gender-specific data on energy access is not available in The Gambia, low rural energy\naccess rates are more likely to disproportionately impact women than men due to differences in energy use, where\nhousehold chores often undertaken by women become time consuming and physically demanding without\nelectricity. <sup>13</sup> Gender imbalances in employment for both transport and energy sectors are notable; women hold less\nthan nine percent of jobs in the transport, storage and communication sector, while women in the energy sector\nrepresent 26 percent of the workforce, according to International Labor Organization data (2022). <sup>14</sup> These disparities\nare usually due to lack of appropriate skills and employment opportunities in technical and managerial roles in the\ntransport and energy sectors, and the absence of women-friendly work environments.\n\n\n_Transport Sector Context_\n\n\n[7 Think Hazard. Consulted on 26 February 2025. Available at: URL](https://thinkhazard.org/en/report/90-the-gambia) https://thinkhazard.org/en/report/90-the-gambia\n\n8 Climate Hazard Assessment – Integrated Adaptation\n\nMention: \"International Labor Organization data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Women hold under nine percent of transport jobs and 26 percent in energy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004390:3:0", "occurrence_id": "9226e37213c4dd27ab60d88d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSaint Lucia Urban Resilient Flood Investment Project(P504998)\n\n\n4. **The country’s progress on poverty reduction and shared prosperity, though temporarily hampered by the recent**\n**public health crises, global economy shocks, and extreme weather events, is steadily advancing** . According to the\nmost recent poverty estimates from 2016, Saint Lucia’s poverty rate declined by 3.8 percent compared to 2006,\nreaching 25 percent, with the most significant decrease observed in rural areas where poverty dropped by nearly\n10 percent to 32.9 percent <sup>1</sup> [^1: Survey of Living Conditions and Household Budget Survey 2016.] . While the unemployment rate fluctuated between 15 and 20 percent over the past\ndecade, the GINI index was estimated at 51.3 in 2016, indicating a high level of income inequality. The bottom 40\npercent of population accounted for only 10 percent of the country’s total income. Although lower than the regional\naverage, a significant proportion of the population of Saint Lucia’s population remains in vulnerable employment:\n16.7 percent of women and 28.1 percent of men. This is particularly true for those in informal work arrangements\nor without social protection, leaving them susceptible to external shocks.\n\n\n5. **From 2010 to 2019, Saint Lucia experienced an average annual growth rate of 4 percent of GDP. COVID had a**\n**major impact on the island’s economy.** In 2020, as a result of travel restrictions, tourism revenues fell by an\nestimated US$725 million from US$1.64 billion in 2019 to US$340 million. This contributed to most of the 28\npercent contraction in GDP from 2019. Recovery has been strong and in 2022, the economy posted a 12 percent\nincrease in GDP over pre-COVID 2019 revenues. GDP reported in 2023 showed an 8 percent increase over 2022\nand represented a 20 percent growth compared to pre -\n\nMention: \"poverty estimates from 2016\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Poverty rate 25 percent, down 3.8 points on 2006, rural down to 32.9 percent.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004390:3:0", "occurrence_id": "49548fcd4e39f6376a8bb237", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSaint Lucia Urban Resilient Flood Investment Project(P504998)\n\n\n4. **The country’s progress on poverty reduction and shared prosperity, though temporarily hampered by the recent**\n**public health crises, global economy shocks, and extreme weather events, is steadily advancing** . According to the\nmost recent poverty estimates from 2016, Saint Lucia’s poverty rate declined by 3.8 percent compared to 2006,\nreaching 25 percent, with the most significant decrease observed in rural areas where poverty dropped by nearly\n10 percent to 32.9 percent <sup>1</sup> [^1: Survey of Living Conditions and Household Budget Survey 2016.] . While the unemployment rate fluctuated between 15 and 20 percent over the past\ndecade, the GINI index was estimated at 51.3 in 2016, indicating a high level of income inequality. The bottom 40\npercent of population accounted for only 10 percent of the country’s total income. Although lower than the regional\naverage, a significant proportion of the population of Saint Lucia’s population remains in vulnerable employment:\n16.7 percent of women and 28.1 percent of men. This is particularly true for those in informal work arrangements\nor without social protection, leaving them susceptible to external shocks.\n\n\n5. **From 2010 to 2019, Saint Lucia experienced an average annual growth rate of 4 percent of GDP. COVID had a**\n**major impact on the island’s economy.** In 2020, as a result of travel restrictions, tourism revenues fell by an\nestimated US$725 million from US$1.64 billion in 2019 to US$340 million. This contributed to most of the 28\npercent contraction in GDP from 2019. Recovery has been strong and in 2022, the economy posted a 12 percent\nincrease in GDP over pre-COVID 2019 revenues. GDP reported in 2023 showed an 8 percent increase over 2022\nand represented a 20 percent growth compared to pre -\n\nMention: \"Survey of Living Conditions and Household Budget Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The named instrument behind the poverty and GINI estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004391:3:2", "occurrence_id": "2a13ecf3c7baa85395d11323", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 500 million per year for\nmaintenance. <sup>2</sup>\n\n\n**Since February 2022, Ukraine's transport infrastructure has been severely damaged, disrupting key import and**\n**export routes.** According to the RDNA3, road infrastructure suffered the most, with 60 percent of transport sector\ndamages: 33 percent on state roads and bridges, 10 percent on local roads, and 17 percent on communal roads. The\ntotal cost for road recovery and reconstruction is estimated at US$28.8 billion for state roads and US$6.0 billion for\nlocal roads.\n\n\n2 Strategy for Prioritization of Investments, Funding and Modernization of Ukraine’s Road Sector, World Bank 2018\n\n\nPage 3\n\nMention: \"RDNA3\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Roads took most transport damage: 33 percent state, 10 local, 17 communal roads.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004419:4:0", "occurrence_id": "680e3642003f37ac10983a8e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBihar Water Security and Irrigation Modernization Project(P505190)\n\n\napproach to water management in surface irrigation schemes has predominantly been supply-driven. Private\nirrigation service providers are not engaged, missing an opportunity to improve service delivery.\n\n\nc. **Limited Flood/Drought Forecasting and Early Warning Systems:** Flood forecasting is limited to the Kosi Basin,\n\nwhile drought forecasting is still underdeveloped, focusing on post-seasonal activity based on rainfall levels.\n\n\nd. **Inadequate decision-making tools:** Data from different departments is scattered and not consolidated, limiting\n\nits use for decision-making. A unified system would help pool data and provide valuable insights for agencies\nlike the Department of Agriculture and Disaster Management Department.\n\n\ne. **Weak participatory irrigation management (PIM) and agricultural services:** Bihar’s early efforts to transfer\n\nirrigation management to WUAs faced organizational issues, low participation, and inadequate agricultural\nservices. Most WUAs struggled with elections, capacity building, and community participation in water\ndistribution.\n\n5. **The Government of Bihar (GoB) has approached the World Bank to help strengthen water resources management,**\n**where water-related natural disasters and irrigation converge.** The **proposed Bihar Water Security and Irrigation**\n**Modernization Project (BWSIMP, the Project)** will help address the aforementioned challenges through investments (in\ninfrastructure and non-structural measures) and institution strengthening. Specifically, the Project will focus on\nimproving water governance through stronger stakeholder partnership and enhanced institutional capacity, ensuring\nthat learning can be established and scaled up across the entire state.\n\nRelationship to CPF\n\n\n8. **The proposed project aligns with the Country Partnership Framework (CPF) FY18–22** <sup>**5**</sup> **focus areas.** It supports CPF\nFocus Area 1: Resource\n\nMention: \"Data from different departments\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Departmental data are scattered and unconsolidated, limiting decision-making.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004412:9:2", "occurrence_id": "ace0637ea737077debef39d9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  storage secured through dam safety measures and rehabilitation\nof assets (m3); (iii) Area covered by regional information systems on groundwater and surface water in use for improved\nmanagement of water resources, droughts and floods (ha); (iv) Share of the groundwater resource sustainably used for\nresilient economic development (percent); (v) Area equipped or rehabilitated with irrigation and drainage services –\nestimated at 50,000 ha for phase 1 (Number of ha and share of groundwater serviced ha); (vi) Number of transboundary\nriver basin and countries with flood and drought management plans ready and operational (number); (vii) Areas of\nwatersheds protected for sustainable land management and (surface and ground)water resources protection; and (viii)\nRegional cooperation and knowledge-sharing events organized to support transboundary river basin and aquifer\nmanagement (Number).\n\n\n**D. Concept Description**\n\n\n21 https://ecowas.int/wp-content/uploads/2022/03/ECOWAS-Hydromet-Initiative.pdf\n22 See: <u>[The Hidden Wealth of Nations : The Economics of Groundwater in Times of Climate Change](https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099257006142358468/idu0fb2550de013100434708d920a3e3bec6afb1)</u>\n23 Croitoru, Lelia; Miranda, Juan José; Sarraf, Maria. 2019. _The Cost of Coastal Zone Degradation in West Africa : Benin, Côte d’Ivoire, Senegal and_\n_Togo_ . World Bank, Washington, DC. © World Bank.\n\n\nPage 10 of 14\n\nMention: \"regional information systems\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Area covered by regional groundwater and surface water systems is a results indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004412:3:2", "occurrence_id": "a91b71cfbf3192c0829fcca8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  63 internationally significant wetlands, which are ecologically and economically vital.** These\nwetlands, found along rivers and lakes and covering 140,000 km², as well as the groundwater-dependent ecosystems,\nplay a crucial role in biodiversity and the economy. However, they face threats from climate change, dam-induced water\nregime changes, local overexploitation of water resources, and human impacts, endangering their balance and future.\nAmong others, the Niger Inner Delta wetland in Mali sustains around 2 million people’s subsistence and livelihoods.\n9. **The utilization of the region’s abundant surface and groundwater resources remains underdeveloped and**\n**uncoordinated.** This underutilization underscores the need for improved WRM and development strategies that account\nfor all potential uses and their benefits. Only 75 percent of the regional population has access to basic water supply, <sup>7</sup>\n\n\n4 Calculation based on FAO Aquastat data. This number considers the actual irrigated area over the irrigation potential. Remaining potential to be\ndeveloped is estimated at 13,121,000 ha.\n5 Allen, T., P. Heinrigs and I. Heo (2018), \"Agriculture, Food and Jobs in West Africa\", _West African Papers_, No. 14, OECD Publishing,\n[Paris, https://doi.org/10.1787/dc152bc0-en.](https://doi.org/10.1787/dc152bc0-en)\n6 https://agra.org/news/irrigation-doubles-african-food-production/\n7 Own calculation based on WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) 2022 and focusing on ECOWAS\ncountries + Mauritania (DREVE focus countries).\n\n\nPage 4 of 14\n\nMention: \"FAO Aquastat data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Calculation of irrigated area against potential, with remaining potential estimated.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004412:3:2", "occurrence_id": "a2e782d952d7c9994b29932e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  63 internationally significant wetlands, which are ecologically and economically vital.** These\nwetlands, found along rivers and lakes and covering 140,000 km², as well as the groundwater-dependent ecosystems,\nplay a crucial role in biodiversity and the economy. However, they face threats from climate change, dam-induced water\nregime changes, local overexploitation of water resources, and human impacts, endangering their balance and future.\nAmong others, the Niger Inner Delta wetland in Mali sustains around 2 million people’s subsistence and livelihoods.\n9. **The utilization of the region’s abundant surface and groundwater resources remains underdeveloped and**\n**uncoordinated.** This underutilization underscores the need for improved WRM and development strategies that account\nfor all potential uses and their benefits. Only 75 percent of the regional population has access to basic water supply, <sup>7</sup>\n\n\n4 Calculation based on FAO Aquastat data. This number considers the actual irrigated area over the irrigation potential. Remaining potential to be\ndeveloped is estimated at 13,121,000 ha.\n5 Allen, T., P. Heinrigs and I. Heo (2018), \"Agriculture, Food and Jobs in West Africa\", _West African Papers_, No. 14, OECD Publishing,\n[Paris, https://doi.org/10.1787/dc152bc0-en.](https://doi.org/10.1787/dc152bc0-en)\n6 https://agra.org/news/irrigation-doubles-african-food-production/\n7 Own calculation based on WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) 2022 and focusing on ECOWAS\ncountries + Mauritania (DREVE focus countries).\n\n\nPage 4 of 14\n\nMention: \"Joint Monitoring Programme for Water Supply and Sanitation\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Access estimate derived for the focus countries from the 2022 programme.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004412:3:0", "occurrence_id": "3fb9a56ea14b3603abad9460", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDevelopment, Resilience and Valorization of Transboundary Water for West Africa – DREVE (P505175)\n\n\n4. **However, the region is endowed with significant resources and potential for economic expansion, particularly**\n**through the valorization of water.** The economic activity across West Africa is forecasted to grow at an average rate of\n4.2 percent annually between 2024 and 2025. The countries within the West Africa Economic and Monetary Union\n(WAEMU) - including Benin, Burkina Faso, Côte d'Ivoire, Guinea-Bissau, Mali, Niger, Senegal, and Togo - are expected to\nwitness even higher growth rates of 6.5 percent in the same period. The African Development Bank's 2023 West Africa\nEconomic Outlook emphasizes the critical role of water resources for sustaining this growth and achieving climate and\ngreen growth transitions. The region offers significant water-related opportunities for development, with 91 percent of\nthe irrigation <sup>4</sup> and 83 percent of the hydropower potentials remaining to be developed. Fully harnessing these resources\nis essential for job creation, food security, and economic resilience.\n\n5. **While agriculture** **represents** **30 to 40 percent of national GDPs and up to 80 percent of employment, the regional**\n**irrigation potential remains unrealized.** The agriculture and food economy represents 40 percent of regional GDP, and\naccounts for 66 percent of total employment. <sup>5</sup> While irrigation has the potential to double African food production, <sup>6</sup> less\nthan 6 percent of total renewable water resources are currently used for irrigation. Groundwater withdrawals represent\nabout 6 percent of annual groundwater recharge, and irrigated lands constitute less than 5 percent of agricultural lands\nin the Sahel, compared to around 20 percent worldwide. Addressing these gaps is crucial to enhance\n\nMention: \"2023 West Africa\nEconomic Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Outlook stressing water resources for sustaining growth and green transition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:13:0", "occurrence_id": "b743a7a6604026ec84fb13c7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare already having an impact on improving the RASE as well as household’s databases, self-reported information, and\nutilities’ mechanisms to gather, report or share information, among others; continuing such efforts would help deliver\nimproved targeting mechanisms. Further incentivizing users to appropriately register in the RASE – including social tariff\nbeneficiaries that were initially grandfathered into the N2 segment – or report additional socioeconomic characteristics –\nsuch as other household members’ details – could also be of great help in Argentina’s reform efforts. <sup>13</sup>\n\n11. **Sheltering households at high risk of severe welfare losses under increasing electricity tariffs while advancing**\n**an efficient use of fiscal resources requires new mechanisms to appropriately target the vulnerable population.**\nImproving targeting can go a long way towards protecting vulnerable populations and sustaining progress. Consolidating\nthe registry of households accessing the subsidies (RASE) as well as validating it with administrative databases (collected\nthrough SINTyS), <sup>14</sup> developing national capacities for data collection, improving the technology and software availability,\nand creating mechanisms to incentivize relevant stakeholders (at the provincial or national level) to share and update\ninformation can all be key measures to improve targeting and deepen reform efforts.\n\n12. **The proposed Project would help expand the positive outcomes of subsidy reform by specifically focusing on**\n**the institutional capacities to improve targeting mechanisms.** Project activities could help reduce the fiscal impact of the\nenergy sector while creating tools for the GoA to improve policies, incentivize better electricity use, and rationalize public\nspending. The proposed Project would also help create incentives for key stakeholders to generate valuable information\non user characteristics and other enabling activities to potentially help reduce technical and non-technical losses, increase\nsavings, or improve electricity use\n\nMention: \"registry of households accessing the subsidies\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Consolidating the subsidy registry is central to targeting vulnerable households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:13:0", "occurrence_id": "3ff08bcc0d2acd803a288886", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare already having an impact on improving the RASE as well as household’s databases, self-reported information, and\nutilities’ mechanisms to gather, report or share information, among others; continuing such efforts would help deliver\nimproved targeting mechanisms. Further incentivizing users to appropriately register in the RASE – including social tariff\nbeneficiaries that were initially grandfathered into the N2 segment – or report additional socioeconomic characteristics –\nsuch as other household members’ details – could also be of great help in Argentina’s reform efforts. <sup>13</sup>\n\n11. **Sheltering households at high risk of severe welfare losses under increasing electricity tariffs while advancing**\n**an efficient use of fiscal resources requires new mechanisms to appropriately target the vulnerable population.**\nImproving targeting can go a long way towards protecting vulnerable populations and sustaining progress. Consolidating\nthe registry of households accessing the subsidies (RASE) as well as validating it with administrative databases (collected\nthrough SINTyS), <sup>14</sup> developing national capacities for data collection, improving the technology and software availability,\nand creating mechanisms to incentivize relevant stakeholders (at the provincial or national level) to share and update\ninformation can all be key measures to improve targeting and deepen reform efforts.\n\n12. **The proposed Project would help expand the positive outcomes of subsidy reform by specifically focusing on**\n**the institutional capacities to improve targeting mechanisms.** Project activities could help reduce the fiscal impact of the\nenergy sector while creating tools for the GoA to improve policies, incentivize better electricity use, and rationalize public\nspending. The proposed Project would also help create incentives for key stakeholders to generate valuable information\non user characteristics and other enabling activities to potentially help reduce technical and non-technical losses, increase\nsavings, or improve electricity use\n\nMention: \"administrative databases\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Cross-validation of the registry against other administrative records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:13:0", "occurrence_id": "33a9edef91e12a3b241357de", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare already having an impact on improving the RASE as well as household’s databases, self-reported information, and\nutilities’ mechanisms to gather, report or share information, among others; continuing such efforts would help deliver\nimproved targeting mechanisms. Further incentivizing users to appropriately register in the RASE – including social tariff\nbeneficiaries that were initially grandfathered into the N2 segment – or report additional socioeconomic characteristics –\nsuch as other household members’ details – could also be of great help in Argentina’s reform efforts. <sup>13</sup>\n\n11. **Sheltering households at high risk of severe welfare losses under increasing electricity tariffs while advancing**\n**an efficient use of fiscal resources requires new mechanisms to appropriately target the vulnerable population.**\nImproving targeting can go a long way towards protecting vulnerable populations and sustaining progress. Consolidating\nthe registry of households accessing the subsidies (RASE) as well as validating it with administrative databases (collected\nthrough SINTyS), <sup>14</sup> developing national capacities for data collection, improving the technology and software availability,\nand creating mechanisms to incentivize relevant stakeholders (at the provincial or national level) to share and update\ninformation can all be key measures to improve targeting and deepen reform efforts.\n\n12. **The proposed Project would help expand the positive outcomes of subsidy reform by specifically focusing on**\n**the institutional capacities to improve targeting mechanisms.** Project activities could help reduce the fiscal impact of the\nenergy sector while creating tools for the GoA to improve policies, incentivize better electricity use, and rationalize public\nspending. The proposed Project would also help create incentives for key stakeholders to generate valuable information\non user characteristics and other enabling activities to potentially help reduce technical and non-technical losses, increase\nsavings, or improve electricity use\n\nMention: \"SINTyS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Identity platform supplying the administrative data used to validate the registry.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004391:4:0", "occurrence_id": "17bf02c065178a78a283b14c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDelivering Resilient Infrastructure in Vulnerable Environments in Ukraine (P504999)\n\n\n**Ukraine’s road networks are critically exposed to natural hazards, with vulnerability risks escalating across nearly**\n**all links due to climate change, resulting in substantial economic costs.** Key threats include flooding, landslides,\nextreme heat, heavy precipitation, and prolonged snowfalls. In June 2020, severe floods in Western Ukraine destroyed\n150 km of highways and 83 bridges, while damaging an additional 582 km of highways and 220 bridges. Aging\ninfrastructure and poor maintenance exacerbate these vulnerabilities, with 95 percent of roads in unsatisfactory\ncondition, 41 percent needing repairs, and 17 percent categorized as poor. Furthermore, 54 percent of the country’s\n16,200 bridges fail to meet standards. According to a road disruption analysis, which monetized the impacts of natural\nhazard-induced disruptions, the closure of the E40/M03 Kharkiv bypass is projected to cost of about EUR 500,000 per\nday due to detours, delays, and higher fuel use of both passenger and freight transport. Disruptions on other critical\ntrade routes, such as the M-05 Kyiv-Odesa and the Lviv bypass, are also forecasted to cause delays and inefficiencies,\nparticularly during peak hazard events.\n\n\n**Revamping investment in roads is now critical to sustain Ukraine’s trade** . Cumulating longer term and shorter causes,\nthe Ukraine road network is in such dire condition that the reliability of Ukraine’s logistics system is at stake.\nTransportation and logistics costs increase exponentially as the condition of the infrastructure deteriorates, resulting\nfrom lower speeds, higher operating costs and higher inventory costs. Predictability of shipments deteriorates, within\ncompounding impact in the global value chains that Ukraine’s exports are part of. Despite existing challenges, the\nAgency for Restoration (AR) has managed to mobilize contractors for basic maintenance needs that the proposed\nDelivering Resilient Infrastructure in Vulnerable Environments project (DRIVE\n\nMention: \"road disruption analysis\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Monetised hazard closures, giving a daily cost for a bypass disruption.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:17:1", "occurrence_id": "9ad22d1445fcb6fc38e99fe6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  household entries that rely entirely on self-reported data or\nthat have been grandfathered into the subsidized segments from provincial Social Tariffs registries. The GoA has also\nenacted the key measures that comprise the first steps in the subsidy reform process supported by the operation, such\nas: (i) setting of the period for reformulating existing subsidy allocations to transition from a universal to a targeted scheme\nand which mandated relevant entities to share administrative data to enhance households subsidy targeting (Decree\n465/2024 of May27 <sup>th</sup> 2024); (ii) defining key identification criteria and processes for potential beneficiaries to request and\nobtain electricity subsidies (Resolution N. 90 of June 2024); and (iii) improving RASEs registry forms to incorporate\nadditional information and enhance cross-referencing with the SINTyS. As these first steps were planned to be\nincorporated in the Project and have already been achieved, their retroactive financing for up to 40 percent of the IPF\nloan (US$200 million) is envisaged. <sup>21</sup> [^21: Management approved up to 40 percent retroactive financing, as requested by the Borrower, in light of the ongoing fiscal consolidation, economic\n<u>crisis, and high poverty rates currently affecting the country.</u>] These activities are the basis of the GoA’s subsidy reform and the operation’s efforts\nand will lead to the emission reductions and energy savings envisioned by the Project. These measures will be key to\nunleash climate benefits by reducing subsidies (by targeting them only towards the most vulnerable), improving the\npassthrough of electricity generation costs to consumers, reducing errors in subsidies databases, and defining the criteria\nlimiting access to such subsidies. Without these measures, expected electricity tariffs would not change, and climate cobenefits would be hampered.\n\n23. **The provision of shock-related electricity subsidies will be triggered in the case of external events that impact**\n**generation costs and thus tariffs paid by vulnerable users.** Disbursements will be linked\n\nMention: \"administrative data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Decree mandated entities to share administrative data for subsidy targeting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:17:1", "occurrence_id": "225655ca7f556587e1bd4036", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  household entries that rely entirely on self-reported data or\nthat have been grandfathered into the subsidized segments from provincial Social Tariffs registries. The GoA has also\nenacted the key measures that comprise the first steps in the subsidy reform process supported by the operation, such\nas: (i) setting of the period for reformulating existing subsidy allocations to transition from a universal to a targeted scheme\nand which mandated relevant entities to share administrative data to enhance households subsidy targeting (Decree\n465/2024 of May27 <sup>th</sup> 2024); (ii) defining key identification criteria and processes for potential beneficiaries to request and\nobtain electricity subsidies (Resolution N. 90 of June 2024); and (iii) improving RASEs registry forms to incorporate\nadditional information and enhance cross-referencing with the SINTyS. As these first steps were planned to be\nincorporated in the Project and have already been achieved, their retroactive financing for up to 40 percent of the IPF\nloan (US$200 million) is envisaged. <sup>21</sup> [^21: Management approved up to 40 percent retroactive financing, as requested by the Borrower, in light of the ongoing fiscal consolidation, economic\n<u>crisis, and high poverty rates currently affecting the country.</u>] These activities are the basis of the GoA’s subsidy reform and the operation’s efforts\nand will lead to the emission reductions and energy savings envisioned by the Project. These measures will be key to\nunleash climate benefits by reducing subsidies (by targeting them only towards the most vulnerable), improving the\npassthrough of electricity generation costs to consumers, reducing errors in subsidies databases, and defining the criteria\nlimiting access to such subsidies. Without these measures, expected electricity tariffs would not change, and climate cobenefits would be hampered.\n\n23. **The provision of shock-related electricity subsidies will be triggered in the case of external events that impact**\n**generation costs and thus tariffs paid by vulnerable users.** Disbursements will be linked\n\nMention: \"SINTyS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Registry forms improved to enhance cross-referencing with the identification system.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:32:1", "occurrence_id": "65ed019b6570989f5026e455", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  <br>|\n|Jan/2025 <br>|Dec/2028 <br>|\n|0 <br>|10%|\n|**Tracking and communicating subsidy reform (Text)PBC ** <br> <br>|**Tracking and communicating subsidy reform (Text)PBC ** <br> <br>|\n|Jan/2025 <br>|Dec/2028 <br>|\n|- <br>|- <br>|\n|Share of subsidies granted to the segment receiving the greatest discount (N2) cross verified in SINTyS (Percentage)PBC <br> <br>|Share of subsidies granted to the segment receiving the greatest discount (N2) cross verified in SINTyS (Percentage)PBC <br> <br>|\n|Jan/2025 <br>|Dec/2028 <br>|\n|5 <br>|85% <br>|\n|Communication and education strategy on the rationalization of subsidies and electricity tariffs increased mitigation measures (Text)PBC <br> <br>|Communication and education strategy on the rationalization of subsidies and electricity tariffs increased mitigation measures (Text)PBC <br> <br>|\n|Jan/2025 <br>|Dec/2027 <br>|\n|No communications plan <br>|Measurement of results and impact of the communication strategy on households <br>|\n|Assessments on (i) distributive impact, (ii) environmental risks and impacts and (iii) electricity losses (Text)PBC <br> <br>|Assessments on (i) distributive impact, (ii) environmental risks and impacts and (iii) electricity losses (Text)PBC <br> <br>|\n|Jan/2025 <br>|Dec/2027 <br>|\n\nMention: \"SINTyS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Share of N2 subsidies cross-verified in the system is a disbursement indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:12:1", "occurrence_id": "563969780a1130fa2e80adec", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3 segments to protect the most vulnerable, but the mid-2024 changes resulted in price increases for all\nsegments, including low- and middle-income customers who had last seen energy price hikes in June 2022 and February\n2023, respectively. <sup>8</sup> [^8: These increases are applied only to the subsidized electricity under the caps set for each segment (350 kWh/month for N2 and 250 kWh/month for\nN3 users); any consumption above those levels would be paid at full (N1) tariffs. See: Economía & Energía and PxQ. _Tarifas de energía eléctrica y gas_\n_natural_, June 2024, p. 9.] Under the new tariffs, the bottom 40 percent of households have seen the share of monthly income\nneeded to cover the electricity bill rise from 1 percent to between 4 and 6 percent (depending on their classification as\nN2 or N3). <sup>9</sup> [^9: Estimates based on information for the Greater Buenos Aires region ( _Área Metropolitana de Buenos Aires_, AMBA). There is heterogeneity across\nprovinces, but the share of household income required to cover the electricity bill is generally higher for households outside AMBA.] Despite the new prices, N2 or N3 customers only cover 36 and 44 percent of total generation costs,\nrespectively.\n\n9. **The GoA has found that roughly 30 percent of households registered in the RASE may need to be recategorized.**\nTo decrease inclusion and exclusion errors, the current administration has begun testing and cross verifying the RASE data\nwith administrative records through the national tax and social identification system ( _Sistema de Identificación Nacional_\n_Tributario y Social_, SINTyS). To date, the GoA has detected that an important number of households may not be registered\nin the RASE but potentially qualify for energy subsidies and roughly 20 percent of households (approximately 1 million\nhomes) registered in the RASE do not have socioeconomic information to be verified through the SINTyS. Utilities and\nprovincial regulators databases – which could potentially address\n\nMention: \"RASE data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Cross-verification found roughly 30 percent of registrants may need recategorising.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:12:1", "occurrence_id": "bbc06fdf754e9fb911e2c15d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3 segments to protect the most vulnerable, but the mid-2024 changes resulted in price increases for all\nsegments, including low- and middle-income customers who had last seen energy price hikes in June 2022 and February\n2023, respectively. <sup>8</sup> [^8: These increases are applied only to the subsidized electricity under the caps set for each segment (350 kWh/month for N2 and 250 kWh/month for\nN3 users); any consumption above those levels would be paid at full (N1) tariffs. See: Economía & Energía and PxQ. _Tarifas de energía eléctrica y gas_\n_natural_, June 2024, p. 9.] Under the new tariffs, the bottom 40 percent of households have seen the share of monthly income\nneeded to cover the electricity bill rise from 1 percent to between 4 and 6 percent (depending on their classification as\nN2 or N3). <sup>9</sup> [^9: Estimates based on information for the Greater Buenos Aires region ( _Área Metropolitana de Buenos Aires_, AMBA). There is heterogeneity across\nprovinces, but the share of household income required to cover the electricity bill is generally higher for households outside AMBA.] Despite the new prices, N2 or N3 customers only cover 36 and 44 percent of total generation costs,\nrespectively.\n\n9. **The GoA has found that roughly 30 percent of households registered in the RASE may need to be recategorized.**\nTo decrease inclusion and exclusion errors, the current administration has begun testing and cross verifying the RASE data\nwith administrative records through the national tax and social identification system ( _Sistema de Identificación Nacional_\n_Tributario y Social_, SINTyS). To date, the GoA has detected that an important number of households may not be registered\nin the RASE but potentially qualify for energy subsidies and roughly 20 percent of households (approximately 1 million\nhomes) registered in the RASE do not have socioeconomic information to be verified through the SINTyS. Utilities and\nprovincial regulators databases – which could potentially address\n\nMention: \"national tax and social identification system\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"The identification platform used to cross-check registry records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:12:1", "occurrence_id": "7a7838bcca6039402c75e5fd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 3 segments to protect the most vulnerable, but the mid-2024 changes resulted in price increases for all\nsegments, including low- and middle-income customers who had last seen energy price hikes in June 2022 and February\n2023, respectively. <sup>8</sup> [^8: These increases are applied only to the subsidized electricity under the caps set for each segment (350 kWh/month for N2 and 250 kWh/month for\nN3 users); any consumption above those levels would be paid at full (N1) tariffs. See: Economía & Energía and PxQ. _Tarifas de energía eléctrica y gas_\n_natural_, June 2024, p. 9.] Under the new tariffs, the bottom 40 percent of households have seen the share of monthly income\nneeded to cover the electricity bill rise from 1 percent to between 4 and 6 percent (depending on their classification as\nN2 or N3). <sup>9</sup> [^9: Estimates based on information for the Greater Buenos Aires region ( _Área Metropolitana de Buenos Aires_, AMBA). There is heterogeneity across\nprovinces, but the share of household income required to cover the electricity bill is generally higher for households outside AMBA.] Despite the new prices, N2 or N3 customers only cover 36 and 44 percent of total generation costs,\nrespectively.\n\n9. **The GoA has found that roughly 30 percent of households registered in the RASE may need to be recategorized.**\nTo decrease inclusion and exclusion errors, the current administration has begun testing and cross verifying the RASE data\nwith administrative records through the national tax and social identification system ( _Sistema de Identificación Nacional_\n_Tributario y Social_, SINTyS). To date, the GoA has detected that an important number of households may not be registered\nin the RASE but potentially qualify for energy subsidies and roughly 20 percent of households (approximately 1 million\nhomes) registered in the RASE do not have socioeconomic information to be verified through the SINTyS. Utilities and\nprovincial regulators databases – which could potentially address\n\nMention: \"SINTyS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"About 20 percent of registrants lack information verifiable through the system.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:51:0", "occurrence_id": "e789f37b9340c0e3092e8e5d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nhousehold income – for different levels across the income distribution (relative distributional incidence). In addition, the\nanalysis included a full reform scenario under which the potential effects of improved households’ targeting (per their\nlevel of vulnerability) was modelled to illustrate the potential distributional gains the reform could deliver under\nstrengthened design mechanisms (such as an incremental phase-out and subsidies impact monitoring).\n\n5. The policy reform introduced in June 2024 <sup>48</sup> [^48: Resolution N. 9/2024.] lowered the cap on subsidized electricity consumption according to\nthe RASE segments during the transition period until November 2024. Prior to the reform, an N3 household faced a cap\nof 400 kWh/month of subsidized consumption (baseline scenario). The reform introduced a cap of 350 kWh/month for\nN2 households and established the cap at 250 kWh/month for N3 households (reform scenario). In both the baseline and\nreform scenarios, the demand subsidies analyzed originate in the difference between the tariff charged to N1 users (nontargeted households) and the tariffs applied to N2 and N3 users; thus, the universal subsidy that originates in the\ndifference between CAMMESA’s selling price and the generation, is not assessed. <sup>49</sup> [^49: However, such gap is addressed in the second assessment (together with other key subsidy reform elements) to estimate a potential impact on\nenergy consumption and emissions.]\n\n6. Constructing a baseline scenario to assess reform effects relied on statistical and administrative data. The incidence\nanalysis combined aggregate administrative records (consumption profiles, tariff schemes, and eligibility criteria for\ndemand-side subsidies) with micro-data from available surveys (consumption, expenditure, income, and socio-economic\nprofile) at the national level (EPH second semester 2023, and ENGHo 2017-18). Household incomes variables have been\nadjusted by estimating a factor of real change in income sources to\n\nMention: \"statistical and administrative data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"The reform baseline was constructed from combined statistical and administrative sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:51:0", "occurrence_id": "435a9e8ff9c296e9b7990f9d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nhousehold income – for different levels across the income distribution (relative distributional incidence). In addition, the\nanalysis included a full reform scenario under which the potential effects of improved households’ targeting (per their\nlevel of vulnerability) was modelled to illustrate the potential distributional gains the reform could deliver under\nstrengthened design mechanisms (such as an incremental phase-out and subsidies impact monitoring).\n\n5. The policy reform introduced in June 2024 <sup>48</sup> [^48: Resolution N. 9/2024.] lowered the cap on subsidized electricity consumption according to\nthe RASE segments during the transition period until November 2024. Prior to the reform, an N3 household faced a cap\nof 400 kWh/month of subsidized consumption (baseline scenario). The reform introduced a cap of 350 kWh/month for\nN2 households and established the cap at 250 kWh/month for N3 households (reform scenario). In both the baseline and\nreform scenarios, the demand subsidies analyzed originate in the difference between the tariff charged to N1 users (nontargeted households) and the tariffs applied to N2 and N3 users; thus, the universal subsidy that originates in the\ndifference between CAMMESA’s selling price and the generation, is not assessed. <sup>49</sup> [^49: However, such gap is addressed in the second assessment (together with other key subsidy reform elements) to estimate a potential impact on\nenergy consumption and emissions.]\n\n6. Constructing a baseline scenario to assess reform effects relied on statistical and administrative data. The incidence\nanalysis combined aggregate administrative records (consumption profiles, tariff schemes, and eligibility criteria for\ndemand-side subsidies) with micro-data from available surveys (consumption, expenditure, income, and socio-economic\nprofile) at the national level (EPH second semester 2023, and ENGHo 2017-18). Household incomes variables have been\nadjusted by estimating a factor of real change in income sources to\n\nMention: \"aggregate administrative records\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Consumption profiles, tariff schemes and eligibility criteria supply aggregate inputs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:51:0", "occurrence_id": "c7647842433c96d342dc5787", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nhousehold income – for different levels across the income distribution (relative distributional incidence). In addition, the\nanalysis included a full reform scenario under which the potential effects of improved households’ targeting (per their\nlevel of vulnerability) was modelled to illustrate the potential distributional gains the reform could deliver under\nstrengthened design mechanisms (such as an incremental phase-out and subsidies impact monitoring).\n\n5. The policy reform introduced in June 2024 <sup>48</sup> [^48: Resolution N. 9/2024.] lowered the cap on subsidized electricity consumption according to\nthe RASE segments during the transition period until November 2024. Prior to the reform, an N3 household faced a cap\nof 400 kWh/month of subsidized consumption (baseline scenario). The reform introduced a cap of 350 kWh/month for\nN2 households and established the cap at 250 kWh/month for N3 households (reform scenario). In both the baseline and\nreform scenarios, the demand subsidies analyzed originate in the difference between the tariff charged to N1 users (nontargeted households) and the tariffs applied to N2 and N3 users; thus, the universal subsidy that originates in the\ndifference between CAMMESA’s selling price and the generation, is not assessed. <sup>49</sup> [^49: However, such gap is addressed in the second assessment (together with other key subsidy reform elements) to estimate a potential impact on\nenergy consumption and emissions.]\n\n6. Constructing a baseline scenario to assess reform effects relied on statistical and administrative data. The incidence\nanalysis combined aggregate administrative records (consumption profiles, tariff schemes, and eligibility criteria for\ndemand-side subsidies) with micro-data from available surveys (consumption, expenditure, income, and socio-economic\nprofile) at the national level (EPH second semester 2023, and ENGHo 2017-18). Household incomes variables have been\nadjusted by estimating a factor of real change in income sources to\n\nMention: \"micro-data from available surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Survey micro-data supply consumption, expenditure, income and socio-economic profiles.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:51:0", "occurrence_id": "918bb6daa34382e7b7654de3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nhousehold income – for different levels across the income distribution (relative distributional incidence). In addition, the\nanalysis included a full reform scenario under which the potential effects of improved households’ targeting (per their\nlevel of vulnerability) was modelled to illustrate the potential distributional gains the reform could deliver under\nstrengthened design mechanisms (such as an incremental phase-out and subsidies impact monitoring).\n\n5. The policy reform introduced in June 2024 <sup>48</sup> [^48: Resolution N. 9/2024.] lowered the cap on subsidized electricity consumption according to\nthe RASE segments during the transition period until November 2024. Prior to the reform, an N3 household faced a cap\nof 400 kWh/month of subsidized consumption (baseline scenario). The reform introduced a cap of 350 kWh/month for\nN2 households and established the cap at 250 kWh/month for N3 households (reform scenario). In both the baseline and\nreform scenarios, the demand subsidies analyzed originate in the difference between the tariff charged to N1 users (nontargeted households) and the tariffs applied to N2 and N3 users; thus, the universal subsidy that originates in the\ndifference between CAMMESA’s selling price and the generation, is not assessed. <sup>49</sup> [^49: However, such gap is addressed in the second assessment (together with other key subsidy reform elements) to estimate a potential impact on\nenergy consumption and emissions.]\n\n6. Constructing a baseline scenario to assess reform effects relied on statistical and administrative data. The incidence\nanalysis combined aggregate administrative records (consumption profiles, tariff schemes, and eligibility criteria for\ndemand-side subsidies) with micro-data from available surveys (consumption, expenditure, income, and socio-economic\nprofile) at the national level (EPH second semester 2023, and ENGHo 2017-18). Household incomes variables have been\nadjusted by estimating a factor of real change in income sources to\n\nMention: \"EPH second semester 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Current household income survey round used in the incidence analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:51:0", "occurrence_id": "38f8f697d6fdd9ab6d5f08c5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nhousehold income – for different levels across the income distribution (relative distributional incidence). In addition, the\nanalysis included a full reform scenario under which the potential effects of improved households’ targeting (per their\nlevel of vulnerability) was modelled to illustrate the potential distributional gains the reform could deliver under\nstrengthened design mechanisms (such as an incremental phase-out and subsidies impact monitoring).\n\n5. The policy reform introduced in June 2024 <sup>48</sup> [^48: Resolution N. 9/2024.] lowered the cap on subsidized electricity consumption according to\nthe RASE segments during the transition period until November 2024. Prior to the reform, an N3 household faced a cap\nof 400 kWh/month of subsidized consumption (baseline scenario). The reform introduced a cap of 350 kWh/month for\nN2 households and established the cap at 250 kWh/month for N3 households (reform scenario). In both the baseline and\nreform scenarios, the demand subsidies analyzed originate in the difference between the tariff charged to N1 users (nontargeted households) and the tariffs applied to N2 and N3 users; thus, the universal subsidy that originates in the\ndifference between CAMMESA’s selling price and the generation, is not assessed. <sup>49</sup> [^49: However, such gap is addressed in the second assessment (together with other key subsidy reform elements) to estimate a potential impact on\nenergy consumption and emissions.]\n\n6. Constructing a baseline scenario to assess reform effects relied on statistical and administrative data. The incidence\nanalysis combined aggregate administrative records (consumption profiles, tariff schemes, and eligibility criteria for\ndemand-side subsidies) with micro-data from available surveys (consumption, expenditure, income, and socio-economic\nprofile) at the national level (EPH second semester 2023, and ENGHo 2017-18). Household incomes variables have been\nadjusted by estimating a factor of real change in income sources to\n\nMention: \"ENGHo 2017-18\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Older expenditure survey supplying detailed consumption patterns.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:52:0", "occurrence_id": "e16e52205aa20c4398c1c84d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare N2 up to the 7 <sup>th</sup> decile, while N3 households are in the upper deciles as seen in figure A3.1b). This is in part explained\nby missing population in the right tail of the distribution, a common and structural feature of households’ surveys.\n\n\n\n**Figure A3.1. Households classification per segment along the income distribution** <sup>50</sup>\na. Thresholds for N classification in the total family b. Distribution of households by N classification in\n\n\n\n\n\nb. Distribution of households by N classification in\n\n\n\n\n\n<u>Estimation of household electricity consumption</u>\n\n10. Electricity consumption was derived from the latest available household consumption survey by estimating\nkWh/month through reported households’ expenditure (ENGHo 2017-18) at the time of collection. <sup>51</sup> [^51: Porto, A., J. Puig, T. García, O. Bertín, and J. Puig (2023), “Documento Metodológico y Resultados Recupero de cantidades consumidas de energía\nen ENGHo 2018 e imputación en EPH 2018 y 2023”, CEFIP & Banco Mundial.] These patterns were\nimputed to the EPH 2023, and then calibrated to average consumption by jurisdiction based on aggregate administrative\ndata at the provincial level. The use of administrative data to adjust consumption levels resulted in significant increases in\nthe amount of kWh consumed by households as final consumption was about 60 percent higher along the income\ndistribution as seen in Figure A3.2. The higher consumption has implications for the analysis, as the N2 segment\nconsumption cap is close to the average adjusted consumption (and in fact, the 350-kWh cap for N2 households is below\nthe average adjusted consumption across the whole income distribution).\n\n\n50 Source: Own elaboration based on EPH and ENGHo. Note: reported incomes have been updated to June 2024 using adjustment factors.\n51 Porto\n\nMention: \"household consumption survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Latest survey used to derive monthly consumption from reported expenditure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:52:0", "occurrence_id": "c38f569e5e1104f9020c3536", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare N2 up to the 7 <sup>th</sup> decile, while N3 households are in the upper deciles as seen in figure A3.1b). This is in part explained\nby missing population in the right tail of the distribution, a common and structural feature of households’ surveys.\n\n\n\n**Figure A3.1. Households classification per segment along the income distribution** <sup>50</sup>\na. Thresholds for N classification in the total family b. Distribution of households by N classification in\n\n\n\n\n\nb. Distribution of households by N classification in\n\n\n\n\n\n<u>Estimation of household electricity consumption</u>\n\n10. Electricity consumption was derived from the latest available household consumption survey by estimating\nkWh/month through reported households’ expenditure (ENGHo 2017-18) at the time of collection. <sup>51</sup> [^51: Porto, A., J. Puig, T. García, O. Bertín, and J. Puig (2023), “Documento Metodológico y Resultados Recupero de cantidades consumidas de energía\nen ENGHo 2018 e imputación en EPH 2018 y 2023”, CEFIP & Banco Mundial.] These patterns were\nimputed to the EPH 2023, and then calibrated to average consumption by jurisdiction based on aggregate administrative\ndata at the provincial level. The use of administrative data to adjust consumption levels resulted in significant increases in\nthe amount of kWh consumed by households as final consumption was about 60 percent higher along the income\ndistribution as seen in Figure A3.2. The higher consumption has implications for the analysis, as the N2 segment\nconsumption cap is close to the average adjusted consumption (and in fact, the 350-kWh cap for N2 households is below\nthe average adjusted consumption across the whole income distribution).\n\n\n50 Source: Own elaboration based on EPH and ENGHo. Note: reported incomes have been updated to June 2024 using adjustment factors.\n51 Porto\n\nMention: \"ENGHo 2017-18\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The expenditure round from which consumption quantities were recovered.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:52:0", "occurrence_id": "21c702ebf1d7b43783ad34a5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare N2 up to the 7 <sup>th</sup> decile, while N3 households are in the upper deciles as seen in figure A3.1b). This is in part explained\nby missing population in the right tail of the distribution, a common and structural feature of households’ surveys.\n\n\n\n**Figure A3.1. Households classification per segment along the income distribution** <sup>50</sup>\na. Thresholds for N classification in the total family b. Distribution of households by N classification in\n\n\n\n\n\nb. Distribution of households by N classification in\n\n\n\n\n\n<u>Estimation of household electricity consumption</u>\n\n10. Electricity consumption was derived from the latest available household consumption survey by estimating\nkWh/month through reported households’ expenditure (ENGHo 2017-18) at the time of collection. <sup>51</sup> [^51: Porto, A., J. Puig, T. García, O. Bertín, and J. Puig (2023), “Documento Metodológico y Resultados Recupero de cantidades consumidas de energía\nen ENGHo 2018 e imputación en EPH 2018 y 2023”, CEFIP & Banco Mundial.] These patterns were\nimputed to the EPH 2023, and then calibrated to average consumption by jurisdiction based on aggregate administrative\ndata at the provincial level. The use of administrative data to adjust consumption levels resulted in significant increases in\nthe amount of kWh consumed by households as final consumption was about 60 percent higher along the income\ndistribution as seen in Figure A3.2. The higher consumption has implications for the analysis, as the N2 segment\nconsumption cap is close to the average adjusted consumption (and in fact, the 350-kWh cap for N2 households is below\nthe average adjusted consumption across the whole income distribution).\n\n\n50 Source: Own elaboration based on EPH and ENGHo. Note: reported incomes have been updated to June 2024 using adjustment factors.\n51 Porto\n\nMention: \"EPH 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Consumption patterns imputed onto the current income survey round.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:52:0", "occurrence_id": "25f10bfd0543f3b7f919a22c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare N2 up to the 7 <sup>th</sup> decile, while N3 households are in the upper deciles as seen in figure A3.1b). This is in part explained\nby missing population in the right tail of the distribution, a common and structural feature of households’ surveys.\n\n\n\n**Figure A3.1. Households classification per segment along the income distribution** <sup>50</sup>\na. Thresholds for N classification in the total family b. Distribution of households by N classification in\n\n\n\n\n\nb. Distribution of households by N classification in\n\n\n\n\n\n<u>Estimation of household electricity consumption</u>\n\n10. Electricity consumption was derived from the latest available household consumption survey by estimating\nkWh/month through reported households’ expenditure (ENGHo 2017-18) at the time of collection. <sup>51</sup> [^51: Porto, A., J. Puig, T. García, O. Bertín, and J. Puig (2023), “Documento Metodológico y Resultados Recupero de cantidades consumidas de energía\nen ENGHo 2018 e imputación en EPH 2018 y 2023”, CEFIP & Banco Mundial.] These patterns were\nimputed to the EPH 2023, and then calibrated to average consumption by jurisdiction based on aggregate administrative\ndata at the provincial level. The use of administrative data to adjust consumption levels resulted in significant increases in\nthe amount of kWh consumed by households as final consumption was about 60 percent higher along the income\ndistribution as seen in Figure A3.2. The higher consumption has implications for the analysis, as the N2 segment\nconsumption cap is close to the average adjusted consumption (and in fact, the 350-kWh cap for N2 households is below\nthe average adjusted consumption across the whole income distribution).\n\n\n50 Source: Own elaboration based on EPH and ENGHo. Note: reported incomes have been updated to June 2024 using adjustment factors.\n51 Porto\n\nMention: \"aggregate administrative\ndata\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Provincial aggregates calibrate survey-implied consumption levels.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:52:0", "occurrence_id": "653fe66daa0fb73ccaf4b2e6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare N2 up to the 7 <sup>th</sup> decile, while N3 households are in the upper deciles as seen in figure A3.1b). This is in part explained\nby missing population in the right tail of the distribution, a common and structural feature of households’ surveys.\n\n\n\n**Figure A3.1. Households classification per segment along the income distribution** <sup>50</sup>\na. Thresholds for N classification in the total family b. Distribution of households by N classification in\n\n\n\n\n\nb. Distribution of households by N classification in\n\n\n\n\n\n<u>Estimation of household electricity consumption</u>\n\n10. Electricity consumption was derived from the latest available household consumption survey by estimating\nkWh/month through reported households’ expenditure (ENGHo 2017-18) at the time of collection. <sup>51</sup> [^51: Porto, A., J. Puig, T. García, O. Bertín, and J. Puig (2023), “Documento Metodológico y Resultados Recupero de cantidades consumidas de energía\nen ENGHo 2018 e imputación en EPH 2018 y 2023”, CEFIP & Banco Mundial.] These patterns were\nimputed to the EPH 2023, and then calibrated to average consumption by jurisdiction based on aggregate administrative\ndata at the provincial level. The use of administrative data to adjust consumption levels resulted in significant increases in\nthe amount of kWh consumed by households as final consumption was about 60 percent higher along the income\ndistribution as seen in Figure A3.2. The higher consumption has implications for the analysis, as the N2 segment\nconsumption cap is close to the average adjusted consumption (and in fact, the 350-kWh cap for N2 households is below\nthe average adjusted consumption across the whole income distribution).\n\n\n50 Source: Own elaboration based on EPH and ENGHo. Note: reported incomes have been updated to June 2024 using adjustment factors.\n51 Porto\n\nMention: \"administrative data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Adjustment raised household consumption since final consumption was much higher.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:52:0", "occurrence_id": "e5fc233ad7e346a7f61df670", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\nare N2 up to the 7 <sup>th</sup> decile, while N3 households are in the upper deciles as seen in figure A3.1b). This is in part explained\nby missing population in the right tail of the distribution, a common and structural feature of households’ surveys.\n\n\n\n**Figure A3.1. Households classification per segment along the income distribution** <sup>50</sup>\na. Thresholds for N classification in the total family b. Distribution of households by N classification in\n\n\n\n\n\nb. Distribution of households by N classification in\n\n\n\n\n\n<u>Estimation of household electricity consumption</u>\n\n10. Electricity consumption was derived from the latest available household consumption survey by estimating\nkWh/month through reported households’ expenditure (ENGHo 2017-18) at the time of collection. <sup>51</sup> [^51: Porto, A., J. Puig, T. García, O. Bertín, and J. Puig (2023), “Documento Metodológico y Resultados Recupero de cantidades consumidas de energía\nen ENGHo 2018 e imputación en EPH 2018 y 2023”, CEFIP & Banco Mundial.] These patterns were\nimputed to the EPH 2023, and then calibrated to average consumption by jurisdiction based on aggregate administrative\ndata at the provincial level. The use of administrative data to adjust consumption levels resulted in significant increases in\nthe amount of kWh consumed by households as final consumption was about 60 percent higher along the income\ndistribution as seen in Figure A3.2. The higher consumption has implications for the analysis, as the N2 segment\nconsumption cap is close to the average adjusted consumption (and in fact, the 350-kWh cap for N2 households is below\nthe average adjusted consumption across the whole income distribution).\n\n\n50 Source: Own elaboration based on EPH and ENGHo. Note: reported incomes have been updated to June 2024 using adjustment factors.\n51 Porto\n\nMention: \"ENGHo\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Figure source note: own elaboration based on the two survey instruments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004530:3:0", "occurrence_id": "6ecd4b2adb5b16ee582d9cf5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHuman Capital Protection Project (P506528) – Additional Financing Request 1\n\n\n2.   Burkina Faso is currently navigating a volatile security environment and a challenging humanitarian context.\nOngoing insecurity has displaced over two million citizens <sup>1</sup> [^1: According to the March 2023 census conducted by the National Council for Emergency Relief and Rehabilitation _(Conseil National des_\n_Secours d’Urgence et de Réhabilitation,_ CONASUR, Government of Burkina Faso).] and disrupted access to basic services such as healthcare and\neducation. The HCPP mitigates adverse impacts by funding free healthcare, hospitals, health centers, and vaccinations.\nIn education, the HCPP supports teacher training, exams, and materials. For instance, without HCPP activities in regions\naffected by the crisis, service delivery to displaced citizens would not have been covered solely by government\nresources. The security situation has seen a slow but gradual improvement, translating into economic growth projected\nat 4.7 percent in 2025. In the first half (H1) of 2025, fatalities as recorded by the Armed Conflict Location and Event Data\n(ACLED) fell 23 percent from H1 2024 and 26.6 percent from H1 2023, which saw a peak in violence (4,819 deaths).\nWhile the government has increased budget allocations for security and defense in previous years, recent improvements\nin the security situation have allowed for a recalibration of expenditures, with a renewed focus on health and education\nspending.\n\n\nSectoral and Institutional Context\n\n\n3. In the 2000s and 2010s, Burkina Faso registered notable gains in basic health services and education outcomes.\nHowever, since 2019, rising insecurity, mounting fiscal pressures, and the COVID-19 pandemic have undermined portions of\nthis progress. Today, both sectors struggle with access and quality due to geographic disparities, imbalances in human\nresources, financial constraints, supply-chain challenges, and the surging needs of a young, rapidly growing population.\nAlthough the government has adopted sectoral strategic plans through the National Health Development Plan (PNDS 2021\n\nMention: \"March 2023 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Census behind the count of over two million displaced citizens.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004530:3:0", "occurrence_id": "659be2aa2e86417f034ef3e5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHuman Capital Protection Project (P506528) – Additional Financing Request 1\n\n\n2.   Burkina Faso is currently navigating a volatile security environment and a challenging humanitarian context.\nOngoing insecurity has displaced over two million citizens <sup>1</sup> [^1: According to the March 2023 census conducted by the National Council for Emergency Relief and Rehabilitation _(Conseil National des_\n_Secours d’Urgence et de Réhabilitation,_ CONASUR, Government of Burkina Faso).] and disrupted access to basic services such as healthcare and\neducation. The HCPP mitigates adverse impacts by funding free healthcare, hospitals, health centers, and vaccinations.\nIn education, the HCPP supports teacher training, exams, and materials. For instance, without HCPP activities in regions\naffected by the crisis, service delivery to displaced citizens would not have been covered solely by government\nresources. The security situation has seen a slow but gradual improvement, translating into economic growth projected\nat 4.7 percent in 2025. In the first half (H1) of 2025, fatalities as recorded by the Armed Conflict Location and Event Data\n(ACLED) fell 23 percent from H1 2024 and 26.6 percent from H1 2023, which saw a peak in violence (4,819 deaths).\nWhile the government has increased budget allocations for security and defense in previous years, recent improvements\nin the security situation have allowed for a recalibration of expenditures, with a renewed focus on health and education\nspending.\n\n\nSectoral and Institutional Context\n\n\n3. In the 2000s and 2010s, Burkina Faso registered notable gains in basic health services and education outcomes.\nHowever, since 2019, rising insecurity, mounting fiscal pressures, and the COVID-19 pandemic have undermined portions of\nthis progress. Today, both sectors struggle with access and quality due to geographic disparities, imbalances in human\nresources, financial constraints, supply-chain challenges, and the surging needs of a young, rapidly growing population.\nAlthough the government has adopted sectoral strategic plans through the National Health Development Plan (PNDS 2021\n\nMention: \"Armed Conflict Location and Event Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Fatality counts fell sharply against both prior half-years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004530:3:1", "occurrence_id": "786434b881738a5d4a97d20d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the surging needs of a young, rapidly growing population.\nAlthough the government has adopted sectoral strategic plans through the National Health Development Plan (PNDS 2021–\n2030) and the Education and Training Sector Plan (PSEF 2017–2030), implementation remains constrained. Still, in 2025, the\ngovernment increased the Ministry of Health’s budget by 11.4 percent and the education ministries’ budget by 8.7 percent,\nsignaling its continued commitment to human capital development. Yet, persistent security instability, limited fiscal space,\nand systemic inefficiencies in public financial management impede the effective execution of these strategies and the scaleup of essential services.\n\n4. The project remains fully aligned with the West and Central Africa (AFW) regional priority to strengthen core\ninstitutions for service delivery 2021-2025 (Report 159265), as well as selected priorities of the IDA Prevention and Resilience\nAllocation. It also aligns with the Country Partnership Framework FY18-24, which was adjusted in the Performance and\nLearning Review (Report 166080-BF). Furthermore, the Project aligns with the new Country Partnership Framework, which\nis currently under preparation.\n\n\n**C. Proposed Development Objective(s)**\n\nOriginal Development Objective\n\n\nTo support the Recipient’s efforts to ensure the provision of essential social services.\n\nCurrent Development Objective\n\n\nTo support the Recipient’s efforts to ensure the provision of essential social services.\n\n\n1 According to the March 2023 census conducted by the National Council for Emergency Relief and Rehabilitation _(Conseil National des_\n_Secours d’Urgence et de Réhabilitation,_ CONASUR, Government of Burkina Faso).\n\n\nPage 3\n\nMention: \"March 2023 census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Displacement census underpinning the essential services objective.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004510:20:0", "occurrence_id": "66affb6320d0563bd0ddc999", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSupporting the Transition to a Sustainable Electricity Sector in Argentina (P506430)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|PBC 3: Tracking<br>and<br>communicating<br>subsidy reform|PBC 3.1: Share of subsidies<br>granted to the segment<br>receiving the greatest<br>discount (N2) cross verified<br>in SINTyS|Target: 70%<br>Baseline: 5%<br>Disbursement: US$13<br>million|Target: 75%<br>Disbursement: US$13<br>million|Target: 80%<br>Disbursement:<br>US$8 million|Target: 85%<br>Disbursement:<br>US$10 million|\n|---|---|---|---|---|---|\n|<br> <br>**PBC 3: Tracking**<br>**and**<br>**communicating**<br>**subsidy reform**|PBC 3.2: Communication<br>and education strategy on<br>the<br>rationalization<br>of<br>subsidies<br>and<br>electricity<br>tariffs increased mitigation<br>measures<br>|Target: Communications<br>strategy designed.<br> <br> <br> <br>Baseline: No<br>communications plan<br> <br>Disbursement: US$7<br>million|Target: Implementation<br>of the strategy with<br>target audiences.<br>Execution of a campaign<br>on subsidy rationalization<br>and\n\nMention: \"SINTyS\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"PBC targets rise from a five percent baseline to 85 percent cross-verification.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004584:13:1", "occurrence_id": "bb3d96f437faaf4432682cf5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  away from\nthe island. This is especially true for trajectories south of the island, strongly impacting Barbados’s southern shore,\nwhich is the most populated and features a dense network of coastal infrastructure. <sup>8</sup> [^8: Barbados 2021 Update of the First Nationally Determined Contribution.] Annual average loss on account\nof hurricanes is estimated at US$48 million, which is equivalent to 0.9 percent of Barbados’s prevailing GDP and\nprobable maximum loss in a 250-year return period is estimated at US$2.5 billion or 47.8 percent of GDP. <sup>9</sup> [^9: <u>[Barbados Hurricanes and Earthquakes Risk Profile - Barbados | ReliefWeb](https://reliefweb.int/report/barbados/barbados-hurricanes-and-earthquakes-risk-profile#:~:text=The%20Probable%20Maximum%20Loss%20for%20hurricanes%20%28250%20year,return%20period%29%20is%20US%24%20783M%20%2815%25%20of%20GDP%29.)</u>]\n\n6. **Various assessments on exposure to climate change and preparedness and readiness to respond indicate**\n**Barbados is moderately prepared to confront weather and climate related disasters** . The Notre Dame Global\nAdaptation Initiative’s country index—which measures overall climate change readiness and vulnerability of 193\ncountries—ranks Barbados 30 with a moderate score of 61.1 in 2024. <sup>10</sup> [^10: <u>[Rankings // Notre Dame Global Adaptation Initiative // University of Notre Dame (nd.edu)](https://gain.nd.edu/our-work/country-index/rankings/)</u>] The Fifth Assessment Report of the United\nNations Intergovernmental Panel on Climate Change presented evidence that a combination of several factors will\ncontribute to increased tropical storm activity in the region by the end of this century, which\n\nMention: \"Barbados Hurricanes and Earthquakes Risk Profile\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Probable maximum loss in a 250-year event expressed as a share of GDP.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004533:14:1", "occurrence_id": "5436f5c0a36a85654b6d819b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  by providing appropriate spaces and appropriate mechanisms for their participation in\nexaminations and student activities.\n\n\n13. **Most Tunisians who start higher education complete it, but a high number of them repeat at least one grade.**\nAs per MOHESR data, 2.4 percent of students (5,000 students) dropped out of higher education in 2022/2023 – a rate\nconsistent with the trend observed since 2010 and considerably lower than the Organization for Economic Cooperation\nand Development (OECD) average of 31 percent. However, almost one in four (22 percent) students repeat at least one\ngrade. The share of repeaters at the undergraduate level has remained roughly constant over the past decade at\napproximately 25 percent, but rose above 30 percent in 2012-2014. On average, only 57 percent of students pass the first\nyear of the license, which could partly reflect the low learning outcomes of students coming from secondary school. The\nUNICEF MICS results show that over a third (36 percent) of children aged 7-14 years old lack basic reading skills and over\ntwo thirds (68 percent) lack fundamental mathematical skills. Deteriorating education quality in primary and secondary\ngrades could exacerbate student difficulties in higher education.\n\n\n14. **While the quality and relevance of higher education in Tunisia has improved, aligning higher education with**\n**highly productive sectors, and thereby improving the employability of graduates, is still a challenge.** INS indicators show\nthat as of the third trimester of 2024, youth unemployment remains particularly high among university graduates,\nreaching 17 percent among men and 31.6 percent among women. <sup>22</sup> [^22: Institut National de la Statistique (INS). (2024). Indicateurs de l’emploi et du chômage: Troisième trimestre 2024] Transition from school to first employment takes a\nmedian of 29 months, and up to 42 months among women. <sup>23</sup> This is partly due to graduates not being adequately equipped\nwith the\n\nMention: \"MOHESR data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Ministry records give a 2.4 percent higher-education dropout rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004533:14:1", "occurrence_id": "19ff81c4b81131fb10a1b401", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  by providing appropriate spaces and appropriate mechanisms for their participation in\nexaminations and student activities.\n\n\n13. **Most Tunisians who start higher education complete it, but a high number of them repeat at least one grade.**\nAs per MOHESR data, 2.4 percent of students (5,000 students) dropped out of higher education in 2022/2023 – a rate\nconsistent with the trend observed since 2010 and considerably lower than the Organization for Economic Cooperation\nand Development (OECD) average of 31 percent. However, almost one in four (22 percent) students repeat at least one\ngrade. The share of repeaters at the undergraduate level has remained roughly constant over the past decade at\napproximately 25 percent, but rose above 30 percent in 2012-2014. On average, only 57 percent of students pass the first\nyear of the license, which could partly reflect the low learning outcomes of students coming from secondary school. The\nUNICEF MICS results show that over a third (36 percent) of children aged 7-14 years old lack basic reading skills and over\ntwo thirds (68 percent) lack fundamental mathematical skills. Deteriorating education quality in primary and secondary\ngrades could exacerbate student difficulties in higher education.\n\n\n14. **While the quality and relevance of higher education in Tunisia has improved, aligning higher education with**\n**highly productive sectors, and thereby improving the employability of graduates, is still a challenge.** INS indicators show\nthat as of the third trimester of 2024, youth unemployment remains particularly high among university graduates,\nreaching 17 percent among men and 31.6 percent among women. <sup>22</sup> [^22: Institut National de la Statistique (INS). (2024). Indicateurs de l’emploi et du chômage: Troisième trimestre 2024] Transition from school to first employment takes a\nmedian of 29 months, and up to 42 months among women. <sup>23</sup> This is partly due to graduates not being adequately equipped\nwith the\n\nMention: \"UNICEF MICS results\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Over a third of children lack basic reading; over two thirds lack maths.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004533:14:1", "occurrence_id": "d82ddc188daf475106a10853", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  by providing appropriate spaces and appropriate mechanisms for their participation in\nexaminations and student activities.\n\n\n13. **Most Tunisians who start higher education complete it, but a high number of them repeat at least one grade.**\nAs per MOHESR data, 2.4 percent of students (5,000 students) dropped out of higher education in 2022/2023 – a rate\nconsistent with the trend observed since 2010 and considerably lower than the Organization for Economic Cooperation\nand Development (OECD) average of 31 percent. However, almost one in four (22 percent) students repeat at least one\ngrade. The share of repeaters at the undergraduate level has remained roughly constant over the past decade at\napproximately 25 percent, but rose above 30 percent in 2012-2014. On average, only 57 percent of students pass the first\nyear of the license, which could partly reflect the low learning outcomes of students coming from secondary school. The\nUNICEF MICS results show that over a third (36 percent) of children aged 7-14 years old lack basic reading skills and over\ntwo thirds (68 percent) lack fundamental mathematical skills. Deteriorating education quality in primary and secondary\ngrades could exacerbate student difficulties in higher education.\n\n\n14. **While the quality and relevance of higher education in Tunisia has improved, aligning higher education with**\n**highly productive sectors, and thereby improving the employability of graduates, is still a challenge.** INS indicators show\nthat as of the third trimester of 2024, youth unemployment remains particularly high among university graduates,\nreaching 17 percent among men and 31.6 percent among women. <sup>22</sup> [^22: Institut National de la Statistique (INS). (2024). Indicateurs de l’emploi et du chômage: Troisième trimestre 2024] Transition from school to first employment takes a\nmedian of 29 months, and up to 42 months among women. <sup>23</sup> This is partly due to graduates not being adequately equipped\nwith the\n\nMention: \"INS indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Graduate youth unemployment at 17 percent for men, 31.6 percent for women.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004590:2:2", "occurrence_id": "c5b68637d0538ccb3b8fc26c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: n/sites/default/files-ftp3/files/publication/pdf/Croissance%20Economique_T4_2024.pdf)</u>\n<u>[https://www.ins.tn/sites/default/files-ftp3/files/publication/pdf/Croissance%20Economique%20T3_2023.pdf.](https://www.ins.tn/sites/default/files-ftp3/files/publication/pdf/Croissance%20Economique%20T3_2023.pdf)</u>\n5 Institut National de la Statistique (INS). (2023). Indicateurs de l’emploi et du chômage: Quatrième trimestre 2023.https://www.ins.tn/publication/indicateurs-de-lemploi-et-du-chomage<u>quatrieme-trimestre-2023https://www.ins.tn/publication/indicateurs-de-lemploi-et-du-chomage-quatrieme-trimestre-2023</u>\n\n\nPage 2\n\nMention: \"Indicateurs de l’emploi et du chômage\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Quarterly labour market indicators cited with the publication URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004574:35:1", "occurrence_id": "8c7381500efe9fdb64aa492f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  transport<br>(excluding BRT corridors) are selected based on their geographic location within the total catchment area.<br>2. Population Estimation<br>Using geoprocessing techniques, the population within the total catchment area in Salvador is calculated based on<br>data from the 2022 IBGE Census. Data for Salvador’s project are disaggregated by gender and by youth (ages 15–<br>24).|\n|Responsibility for Data<br>Collection|PMU (SEMOB)|\n|**PDO Indicator 2: Users satisfied with the quality of public transport service in the BRT Corridor, disaggregated by gender and income**<br>**(percentage)**|**PDO Indicator 2: Users satisfied with the quality of public transport service in the BRT Corridor, disaggregated by gender and income**<br>**(percentage)**|\n|Description|The satisfaction survey will focus on services provided by the BRT Corridor. This indicator measures beneficiary<br>satisfaction with the quality of public transport services before and after the implementation of e-buses. Results<br>will be disaggregated by gender and income level, with low-income defined as a maximum of two minimum wages.|\n|Frequency|Once the e-buses become operational|\n|Data source|Annual user satisfaction survey –_QualiÔnibus._|\n|Methodology for data<br>collection|The methodology will be based on the_QualiÔnibus_survey that solicits the views of users of the service in the BRT<br>Corridor, deliberately excluding periods of atypical demand (such as school and public holidays) and weekends to<br>ensure accurate representation. The sample distribution will follow the demand curve to maintain proportionality<br>throughout the day. Heavy loaded lines will be assured in the sample, while the other ones will be\n\nMention: \"2022 IBGE Census\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Census counts geoprocessed to estimate catchment population by gender and youth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004623:4:1", "occurrence_id": "1f908d3d7103db57a71f1612", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: GCPs)** .\nSpecifically, the activities are aligned squarely within the Food and Nutrition Security GCP (through livelihood and\nproductive employment opportunities for nutritious food production) and Accelerating Digitization (operationalization of\nsocial registry and building digital skills for jobs).\n\n\n**10.** **The proposed project is aligned with Government of Eswatini’s National Development Plan** <sup>**13**</sup> [^13: NDP: 2023/24-2027/28) Outcome 3.3 – Enhanced Social and Human Capital Development] and the recent GoE\npolicy statement which emphasize the need for access to economic opportunities. <sup>14</sup> [^14: Government of the Kingdom of Eswatini. Policy Statement 2024] Both documents recognizes that a\ndigital and dynamic social registry helps profile household characteristics. Understanding beneficiary household\ncomposition helps guide design and delivery simple yet transformative interventions. The proposed project will support\nthe Government in realizing this vision through a package of evidence-based employment interventions for poor and\nvulnerable youth, of which at least 50% will be female.\n\n\n**11.** **The proposed project is aligned with GoE’s Nationally Determined Contribution (NDC) and the Paris Agreement.**\nGoE has through the 2020 NDC committed to reduce GHG emissions by 5 percent by 2030, aiming to raise this target to\n14 percent with external financing, technology, and technical support. Similarly, the NDP underscores the importance for\nsustainable agriculture and diversified income streams that mitigate climate risks for households. This must be\ncomplemented with strong systems and institutions that can respond rapidly to climate-related shocks. This operation\ncontributes to the NDC and the NDP by operationalization of Eswatini’s digital social registry, to enable faster, more\ntargeted interventions for households affected by climate shocks and engaging youth in climate sensitive agricultural value\nchains. No specific risks with respect to the mitigation and adaptation aspects of the Paris Alignment Assessment are\nflagged at this stage.\n\n\n**C. Proposed Development Objective(\n\nMention: \"social registry\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"A digital dynamic registry to profile household characteristics for targeting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004635:3:1", "occurrence_id": "9319dcb18ee2f2dafb9b3582", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: *\n**Window** improves access of youth particularly women and persons with disability, to labor market opportunities, using\nvaried instruments tailored to specific barriers to entry faced by beneficiaries. The World Bank has financed two projects\nin support of Baxnaano: the Shock Responsive Safety Net for Human Capital Project (SNHCP, P171346), and the Shock\nResponsive Safety Net for Locust Response Project (SNLRP, P174065). Somalia's wider social protection landscape\ncomprises a range of donor-supported initiatives aimed at mitigating poverty, enhancing food security, and promoting\neconomic inclusion.\n\n\n**C. Proposed Development Objective(s)**\n\n\nDevelopment Objective(s) (From PAD)\nThe project development objective (PDO) is to enhance economic opportunities and strengthen resilience of the poor\nand vulnerable.\n\n\nKey Results\n**PDO Level Indicators**\n\n**_PDO 1: Enhance economic opportunities_**\n\n   - New or better jobs (Corporate Results Indicator, CRI), disaggregated by women and youth\n\n`o` Youth beneficiaries employed in either self-employed or wage employment 6 months after completing\n\nproject package of interventions (Percentage)\n\n`o` Women beneficiaries in self-employment/wage employment at least 6 months after completing\n\nproject package interventions (Percentage)\n\n`o` Increase in average earnings (Percentage)\n\n\n2 Program re-enrollment beyond this period would be contingent upon an eligibility recertification process.\n\n\nPage 3\n\n\nOfficial Use Only\n\nMention: \"Corporate Results Indicator\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"New or better jobs measured as a corporate indicator disaggregated by women and youth.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004590:2:1", "occurrence_id": "73f68f9ad686404ba9c122e0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  period (6.3 percent of GDP in 2024 versus 2.9 percent in 2019). Debt level remains\nin the range of 80 percent.\n\n2. **Economic challenges and vulnerability to climate change are affecting Tunisians unequally** . Inequality, as\nmeasured by the Gini Index, increased from 32.8 to 33.7 between 2015 and 2021, mainly driven by disparities within urban\nand rural areas and between regions. Disparities persist between the interior regions, where official poverty ranges\nbetween 22.5 percent (North-West region) and 37 percent (Center-West region) and coastal regions of Grand Tunis (4.7\n\n\n[1 African Center for Economic Transformation. (2023). Africa Transformation Index 2023: Tunisia country profile. Retrieved from https://acetforafrica.org/ati/country-profiles/tunisia/](https://acetforafrica.org/ati/country-profiles/tunisia/)\n2 World Bank. (2024). Tunisia economic monitor: Renewed energy to the economy (Spring 2024).\n\n[3Harvard’s Growth Lab. The atlas of economic complexity: Tunisia. Retrieved from https://atlas.cid.harvard.edu/countries/223](https://atlas.cid.harvard.edu/countries/223)\n\n4 Source : Institut National de la Statistique: <u>[https://www.ins.tn/sites/default/files-ftp3/files/publication/pdf/Croissance%20Economique_T4_2024.pdf ;](https://www.ins.tn/sites/default/files-ftp3/files/publication/pdf/Croissance%20Economique_T4_2024.pdf)</u>\n<u>[https://www.ins.tn\n\nMention: \"Africa Transformation Index 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Regional poverty ranges from the North-West to the Center-West against coastal regions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004640:13:1", "occurrence_id": "39b41f25e411ce656bbe851a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  indicating worsening of school accessibility. <sup>4</sup> [^4: Floods Dashboard. 2024.] There are 15,270 schools in\nBalochistan, of which 81 percent (12,286) are primary schools.\n\n\n7. **Despite the improvements in gross enrollment rates at primary level in the province over time, it is still much lower**\n**when compared to the national average, especially for girls and children with disabilities (CWD).** The enrollment\nrates in Balochistan increased from 53 percent boys and 37 percent girls in 2016 to 63 and 46 percent, respectively, in\n2020. However, enrollment rates remain low compared to international standards and in relation to Pakistan’s average\n(which suggests that one in three children are not enrolled). Particularly concerning is girls' enrollment in Balochistan,\nwhich has been consistently below the 50 percent mark for the past decade. According to the United Nations\nEducational, Scientific and Cultural Organization (UNESCO) Education Monitoring Report 2019, CWD are two to three\ntimes more likely to be out of school than their non-disabled peers. In Pakistan, only 3.4 percent of CWD complete\nprimary education, and a mere 1.4 percent complete secondary education. The number of students with disabilities\nreported in the Balochistan Education Management Information System (EMIS) is 1,753—or 0.16 percent of total\nenrollment—compared with 3.1 percent national average and 15 percent global average. 45.6 percent of students\nreported with disability are from the primary age group. There is a greater number of male students (61.7 percent)\nwho have been reported as having a disability. At the primary level, 69 percent of schools are for boys, and only 25\npercent are for girls. More than one-quarter of primary schools are single-room schools managing multiple levels of\nstudents in one classroom; of these, 70 percent are boys' schools, 22 percent are co-ed, and only 8 percent are girls\n\nMention: \"Education Monitoring Report 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Children with disabilities two to three times more likely to be out of school.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004584:49:0", "occurrence_id": "2b6b640885f69e13d9f99067", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBarbados – Beryl Emergency Response and Recovery Project (P507190)\n\n\nthe required funds from the DA to the TSA to pay for project transactions.\n\n      - Project funds in the TSA will be allocated in three streams: (i) transferred to a BPI Bank\naccount by Treasury (based on request by PECU) to pay for activities being implemented\nby BPI on a quarterly basis; (ii) allocated to a specific code in the TSA to pay Fisherfolk\n(to be paid by PECU or the designated FA; and (iii) allocated to another code to pay for\nall the other transactions. All Government expenditures are paid from the TSA.\n\n14. **Funds flow for fisherfolk support** . Financial support to fisherfolk to repair and replace boats will be\nprovided via a two-fold mechanism:\n\n - (i) 25 percent grant for repairs. PECU will pay the grant directly from the designated code in the TSA\nbased on a list of confirmed eligible beneficiaries by MENB. The eligibility criteria and payment process\nwill be documented in the POM.\n\n - (ii) combination of grants and loans for replacement of boats. The project will use an FA to process\ngrants and loans for replacement of boats. MENB will develop an FA OM to provide the details of this\nfinancial support including implementation arrangements, criteria, loan terms, loan management, and\nreporting requirements between PECU and the FA.\n\n\n15. **Potential retroactive financing has been identified for an amount of US$5.42 million equivalent to**\n**cover payments made for eligible project expenditures, including goods, non-consulting services,**\n**consulting services, and works, under Category 1 and 5 of the financing agreement withdrawal table**\n**between July 5, 2024, and the signing of the financing agreement.** PECU will confirm that eligible\nretroactive expenditures meet World Bank retroactive expenditure requirements and collaborate with the\nTreasury\n\nMention: \"list of confirmed eligible beneficiaries by MENB\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Ministry-confirmed beneficiary list authorises grant payments by the coordination unit.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004669:18:0", "occurrence_id": "7c4e0a46d394cf2d219ee64e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nJordan Innovative Startups and SMEs Fund 2.0 (P507684)\n\n\n**Figure 5. ISSF investment distribution by sector** **Figure 6. ISSF Fund of Funds investment distribution by**\n**growth stage**\n\n\n29. **When it comes to geographical scope, ISSF contractually requests portfolio funds to allocate towards Jordan at**\n**least an amount equivalent to ISSF investment in the fund.** For example, the ISSF Side Letters signed with partner funds\nset out the definition of what constitutes a ‘Jordan Investment’, focusing on a startup having significant business and\ncommercial operations in Jordan, including the share of full-time staff in Jordan. According to ISSF data, to date, 70 percent\nof ISSF investee startups have their HQ in Jordan, with the remaining 30 percent are startups with substantial operations\nin Jordan. This definition and specific quantitative thresholds will be specified in the Project Operational Manual and\nInvestment Committee Charter.\n\n\n**ISSF Governance setup**\n\n\n30. **The proposed governance/ institutional structure will retain the current ISSF Fund of Funds model with**\n**enhancements based on the experience to date and industry practices.** The ISSF team would continue to oversee ISSF\n1.0 commitments made to date. The proposed ISSF 2.0 Project envisions the continued separation between the Board and\nthe Investment Committee (strategic governance oversight vs investment management), aligning with governance good\npractices. The proposed Project will be a continuation of the ISSF 1.0 GoJ-owned Fund of Funds model, whereby the fund\nwill remain a Private Shareholding Company operating in Jordan under the provisions of the companies law, with\ngovernance and operational enhancements as described below:\n\n(i) The ISSF investment strategy and policy will be updated to align with the proposed Project new design and the\n\nemerging opportunities in the VC landscape at local, regional\n\nMention: \"ISSF data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Most investee startups have their headquarters in the country.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004669:37:1", "occurrence_id": "fc57e53ed8af595843d3c81a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  funds and startups; LPAs and Side letters between ISSF and financial<br>intermediaries.|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|➢ <br>**Women owned, led, and majority female employment innovative startups and SMEs that receive equity financing through the project**<br>**(Percentage)**|➢ <br>**Women owned, led, and majority female employment innovative startups and SMEs that receive equity financing through the project**<br>**(Percentage)**|\n|Description|The share (out of total beneficiaries) of women owned, led, and majority female employment innovative<br>startups and SMEs that receive equity financing through the project, following the definition provided in the<br>POM of what qualifies as women owned, led, and majority female employment innovative startups and<br>SMEs.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|**Direct jobs created by beneficiary innovative startups and SMEs (Number)**|**Direct jobs created by beneficiary innovative startups and SMEs (Number)**|\n|Description|Startups are required to provide detailed headcount data, including new (full-time equivalent) hires once<br>ISSF investment happened, verified through payroll records, social security filings, or other employment or<br>full-time consultancy documentation.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly\n\nMention: \"payroll records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Headcount and new hires verified against payroll records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004669:37:1", "occurrence_id": "9f3e45b5ac0b9d8723970a08", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  funds and startups; LPAs and Side letters between ISSF and financial<br>intermediaries.|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|➢ <br>**Women owned, led, and majority female employment innovative startups and SMEs that receive equity financing through the project**<br>**(Percentage)**|➢ <br>**Women owned, led, and majority female employment innovative startups and SMEs that receive equity financing through the project**<br>**(Percentage)**|\n|Description|The share (out of total beneficiaries) of women owned, led, and majority female employment innovative<br>startups and SMEs that receive equity financing through the project, following the definition provided in the<br>POM of what qualifies as women owned, led, and majority female employment innovative startups and<br>SMEs.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|**Direct jobs created by beneficiary innovative startups and SMEs (Number)**|**Direct jobs created by beneficiary innovative startups and SMEs (Number)**|\n|Description|Startups are required to provide detailed headcount data, including new (full-time equivalent) hires once<br>ISSF investment happened, verified through payroll records, social security filings, or other employment or<br>full-time consultancy documentation.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly\n\nMention: \"social security filings\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Statutory filings provide independent verification of jobs created.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004640:50:1", "occurrence_id": "bc73cfe1b042586ae06fc9ca", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br>Collection|Attendance will be taken at the time of program implementation|\n|Responsibility for Data<br>Collection|PMU|\n|**Parents receiving home learning materials to engage with children at home**|**Parents receiving home learning materials to engage with children at home**|\n|Description|Number of learning materials distributed to parents to support foundational literacy development at home|\n|Frequency|Annually|\n|Data source|Distribution reports|\n|Methodology for Data<br>Collection|Distribution records, sample surveys|\n|Responsibility for Data<br>Collection|PMU|\n|**Reliable and affordable transport services established in selected number of districts**|**Reliable and affordable transport services established in selected number of districts**|\n|Description|Number of districts that signed contracts for subsidized and safe school transportation provision|\n|Frequency|Annually|\n|Data source|Transportation contracts|\n|Methodology for Data<br>Collection|Records of transportation services contracted in the districts|\n|Responsibility for Data<br>Collection|District transportation authority|\n|**Share of girls benefiting from subsidized transport services under the project**|**Share of girls benefiting from subsidized transport services under the project**|\n|Description|Share of girls attending school supported through subsidized and safe transport. At least 75 percent of the beneficiaries<br>will be girls.|\n|Frequency|Annually|\n|Data source|School attendance records and transportation records|\n\n\n\nPage 39\n\nMention: \"Distribution reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Reports evidence the learning materials distributed to parents.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004640:50:1", "occurrence_id": "743016b93c9fee56ef57a181", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br>Collection|Attendance will be taken at the time of program implementation|\n|Responsibility for Data<br>Collection|PMU|\n|**Parents receiving home learning materials to engage with children at home**|**Parents receiving home learning materials to engage with children at home**|\n|Description|Number of learning materials distributed to parents to support foundational literacy development at home|\n|Frequency|Annually|\n|Data source|Distribution reports|\n|Methodology for Data<br>Collection|Distribution records, sample surveys|\n|Responsibility for Data<br>Collection|PMU|\n|**Reliable and affordable transport services established in selected number of districts**|**Reliable and affordable transport services established in selected number of districts**|\n|Description|Number of districts that signed contracts for subsidized and safe school transportation provision|\n|Frequency|Annually|\n|Data source|Transportation contracts|\n|Methodology for Data<br>Collection|Records of transportation services contracted in the districts|\n|Responsibility for Data<br>Collection|District transportation authority|\n|**Share of girls benefiting from subsidized transport services under the project**|**Share of girls benefiting from subsidized transport services under the project**|\n|Description|Share of girls attending school supported through subsidized and safe transport. At least 75 percent of the beneficiaries<br>will be girls.|\n|Frequency|Annually|\n|Data source|School attendance records and transportation records|\n\n\n\nPage 39\n\nMention: \"Distribution records, sample surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Records combined with sample surveys verify distribution to households.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004640:50:1", "occurrence_id": "aae398982153f013e1d792b5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br>Collection|Attendance will be taken at the time of program implementation|\n|Responsibility for Data<br>Collection|PMU|\n|**Parents receiving home learning materials to engage with children at home**|**Parents receiving home learning materials to engage with children at home**|\n|Description|Number of learning materials distributed to parents to support foundational literacy development at home|\n|Frequency|Annually|\n|Data source|Distribution reports|\n|Methodology for Data<br>Collection|Distribution records, sample surveys|\n|Responsibility for Data<br>Collection|PMU|\n|**Reliable and affordable transport services established in selected number of districts**|**Reliable and affordable transport services established in selected number of districts**|\n|Description|Number of districts that signed contracts for subsidized and safe school transportation provision|\n|Frequency|Annually|\n|Data source|Transportation contracts|\n|Methodology for Data<br>Collection|Records of transportation services contracted in the districts|\n|Responsibility for Data<br>Collection|District transportation authority|\n|**Share of girls benefiting from subsidized transport services under the project**|**Share of girls benefiting from subsidized transport services under the project**|\n|Description|Share of girls attending school supported through subsidized and safe transport. At least 75 percent of the beneficiaries<br>will be girls.|\n|Frequency|Annually|\n|Data source|School attendance records and transportation records|\n\n\n\nPage 39\n\nMention: \"Records of transportation services\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Contracted district transport services counted from service records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004640:50:1", "occurrence_id": "ccddf9acc5e3350c3e3b4b2c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: <br>Collection|Attendance will be taken at the time of program implementation|\n|Responsibility for Data<br>Collection|PMU|\n|**Parents receiving home learning materials to engage with children at home**|**Parents receiving home learning materials to engage with children at home**|\n|Description|Number of learning materials distributed to parents to support foundational literacy development at home|\n|Frequency|Annually|\n|Data source|Distribution reports|\n|Methodology for Data<br>Collection|Distribution records, sample surveys|\n|Responsibility for Data<br>Collection|PMU|\n|**Reliable and affordable transport services established in selected number of districts**|**Reliable and affordable transport services established in selected number of districts**|\n|Description|Number of districts that signed contracts for subsidized and safe school transportation provision|\n|Frequency|Annually|\n|Data source|Transportation contracts|\n|Methodology for Data<br>Collection|Records of transportation services contracted in the districts|\n|Responsibility for Data<br>Collection|District transportation authority|\n|**Share of girls benefiting from subsidized transport services under the project**|**Share of girls benefiting from subsidized transport services under the project**|\n|Description|Share of girls attending school supported through subsidized and safe transport. At least 75 percent of the beneficiaries<br>will be girls.|\n|Frequency|Annually|\n|Data source|School attendance records and transportation records|\n\n\n\nPage 39\n\nMention: \"School attendance records and transportation records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Attendance matched with transport records to measure the share of girls benefiting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004741:36:2", "occurrence_id": "0d5936b8d0bd3d1eae5d3bd3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **|\n|Description|The IRI's denominator includes stakeholders that are surveyed and targeted by project-supported sensitization activities. A<br>baseline value is not applicable at project preparation because no sensitization activities have been carried out yet. A baseline<br>of 0 is provided for June 2027, given that sensitization activities are expected to have newly started then and stakeholders’<br>recall of key sensitization messages is expected to be minimal at that point.|\n|Frequency|**Annual **|\n|Data source|**Primary survey data **|\n|Methodology for<br>Data Collection|**Survey of stakeholders**|\n|Responsibility for<br>Data Collection|**CEU and survey enumerators to be recruited and trained under the Project**|\n|**IRI 4. Improved quality assurance system on ECCE (Text)**|**IRI 4. Improved quality assurance system on ECCE (Text)**|\n|Description|Quality assurance system includes quality standards and monitoring instruments, a clear and manageable registration process,<br>regular monitoring of childcare settings to meet quality standards, and supporting data system.|\n|Frequency|**Semi-annual **|\n|Data source|**Secondary data from MoEST, MoHDFSGA **|\n|Methodology for<br>Data Collection|**Administrative records, operational reports **|\n\n\nPage 23\n\n\nOfficial Use Only\n\nMention: \"Secondary data from MoEST, MoHDFSGA\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Ministry secondary data supply the childcare quality indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004715:4:2", "occurrence_id": "e1bea908f11f13397fbf70bc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  years of conflict and displacement. Across all Phase 1 countries, high informality, low agricultural\nproductivity, gender disparities, rapid population growth, and exposure to climate risks reinforce cycles of poverty and\nexclusion, underscoring the need for scalable investments that strengthen resilience, service delivery, and private-sector\nparticipation.\n\n\nSectoral and Institutional Context\n\n\n13 DRE solutions include a range of technologies and equipment, including stand-alone solar lanterns, solar home systems, stand-alone wind\nsystems, small hydro systems, renewable energy powered mini grids, and mesh grids that aim to benefit households, agricultural users, public\ninstitutions, as well as commercial and industrial users.\n14 About 2.8 percent in 2018-2019 (World Bank national accounts data, and OECD National Accounts data files).\n15 The absolute number of people falling below the US$2.15 poverty line increased from 369 million in 2014 to 397 million in 2019 (World Bank\nBlogs, 2024. “Accelerating poverty reduction in Sub-Saharan Africa requires stability”).\n16 Africa's Pulse, No. 20, October 2019: An Analysis of Issues Shaping Africa’s Economic Future.\n17 World Bank. 2026. Making Industrial Policy Work in Africa, Africa Economic Update (April 2026). World Bank, Washington, DC.\n18 World Bank (2019), ‘Beyond the Gap: How Countries Can Afford the Infrastructure They Need while Protecting the Planet,’ Washington DC.\n19 https://www.afdb.org/en/topics-and-sectors/sectors/infrastructure\n\n\nPage 4\n\nMention: \"World Bank national accounts data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National accounts behind the share figure for 2018-2019.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004715:4:2", "occurrence_id": "fd722c1c33ca0fdf96801ddf", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  years of conflict and displacement. Across all Phase 1 countries, high informality, low agricultural\nproductivity, gender disparities, rapid population growth, and exposure to climate risks reinforce cycles of poverty and\nexclusion, underscoring the need for scalable investments that strengthen resilience, service delivery, and private-sector\nparticipation.\n\n\nSectoral and Institutional Context\n\n\n13 DRE solutions include a range of technologies and equipment, including stand-alone solar lanterns, solar home systems, stand-alone wind\nsystems, small hydro systems, renewable energy powered mini grids, and mesh grids that aim to benefit households, agricultural users, public\ninstitutions, as well as commercial and industrial users.\n14 About 2.8 percent in 2018-2019 (World Bank national accounts data, and OECD National Accounts data files).\n15 The absolute number of people falling below the US$2.15 poverty line increased from 369 million in 2014 to 397 million in 2019 (World Bank\nBlogs, 2024. “Accelerating poverty reduction in Sub-Saharan Africa requires stability”).\n16 Africa's Pulse, No. 20, October 2019: An Analysis of Issues Shaping Africa’s Economic Future.\n17 World Bank. 2026. Making Industrial Policy Work in Africa, Africa Economic Update (April 2026). World Bank, Washington, DC.\n18 World Bank (2019), ‘Beyond the Gap: How Countries Can Afford the Infrastructure They Need while Protecting the Planet,’ Washington DC.\n19 https://www.afdb.org/en/topics-and-sectors/sectors/infrastructure\n\n\nPage 4\n\nMention: \"OECD National Accounts data files\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Companion accounts file completing the series.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004715:5:1", "occurrence_id": "2008d02303b2eb939be64fd9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ification Platform (GEP)** <sup>**23**</sup> [^23: World Bank Energy Sector Management Assistance Program (ESMAP). Global Electrification Platform (GEP).\nhttps://electrifynow.energydata.info/.] **indicates that achieving universal access in SSA will**\n**require a complementary mix of grid extension and DRE solutions.** Using high level geospatial analysis to identify leastcost pathways and climate risks, GEP’s data suggest that approximately 52 percent of unserved people are most\neconomically connected through national grid expansion and densification, while the remaining 48 percent are best served\nby DRE solutions. This mixed approach minimizes system costs, accelerates service provision in remote and peri-urban\nareas, and supports progression toward higher service tiers. Regional DARES intends to address the electricity needs of\nthe latter group in AFW by accelerating the scale-up of DRE solutions while country specific operations target grid\nconnections.\n\n\n9. **In SSA, DRE market growth has remained concentrated in a handful of larger markets—primarily in East Africa**\n**and Nigeria—which have successfully tested and scaled a diverse range of high-impact business models, financing**\n**instruments, and regulatory innovations** <sup>**24**</sup> [^24: Falchetta, G., Michoud, B., Hafner, M. and Rother, M., 2022. Harnessing finance for a new era of decentralised electricity access: A review of\nprivate investment patterns and emerging business models. Energy Research & Social Science, 90, 102587.] **.** These new approaches include pay-as-you-go models, leasing, energy as a\nservice (EaaS), and asset aggregation and securitization <sup>25</sup> [^25: UNDP, 2024. Climate Aggregation Platform: Financial Innovations for Clean Energy in Africa.] . Many of these innovations have been enabled by information\nand communication technologies (ICTs) and have contributed\n\nMention: \"GEP’s data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Geospatial least-cost pathways split the unserved between grid and distributed solutions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004796:36:0", "occurrence_id": "8cff4dba1a24959e92750a44", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBulsho: Strengthening Community and Local Institutions for Social Cohesion, Inclusion, and Resilience (P508408)\n\n\n**Monitoring and Evaluation Plan: PDO Indicators by PDO Outcome**\n\n\n|Col1|Col2|\n|---|---|\n|**Communities that collaborate to resolve development problems in project target areas (number)**|**Communities that collaborate to resolve development problems in project target areas (number)**|\n|Description|This indicator tracks the investments that span across two or more villages or district-wide because they require<br>collaboration among local clans and political elites. The annual target should increase over time as more districts receive<br>package C and communities experience the benefits of collective action.|\n|Frequency|Annual (in December)|\n|Data source|Bulsho fintech platform|\n|Methodology for<br>data collection|The platform will mark the local investments that receive two or more dollars for each dollar raised by communities as<br>“collaborative investments.” It will calculate the total number of collaborative investments compared to the total<br>number of investments.|\n|Responsibility for<br>data collection|MEAL specialist from the MoIFAR PCU and MEAL officers from the State-level PIUs.|\n\n\n\n\n\n\n\n|Col1|Col2|\n|---|---|\n|**Co-financing resources mobilized by communities, the diaspora, local governments, and the private sector (amount in U.S. dollars)**|**Co-financing resources mobilized by communities, the diaspora, local governments, and the private sector (amount in U.S. dollars)**|\n|Description|This indicator tracks in U.S. dollars the financial resources that communities, the diaspora, local governments, and the<br\n\nMention: \"Bulsho fintech platform\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Platform records matching contributions to classify collaborative investments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004698:17:0", "occurrence_id": "bd80b0464af285ed812319b3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKosovo Financial Sector Development (P507881)\n\n\nKosovo financial sector safety net. Households and firm that have deposits in the financial system will be the main\nbeneficiaries from the project: an expected 150,000 depositors to benefit initially upon approval of additional coverage\nfrom EUR 5,000 to 10,000 and an estimated 166,000 depositors by the close of the project. According to surveys, 58\npercent of adults in Kosovo have an account in financial institutions (Findex 2021). Enhancing the financial capacity of DIFK\nwill ensure that these customers’ savings are more fully protected. Banks will also benefit from the strengthening of\nfinancial sector safety net under the project as a stronger safety net will help reduce the risk of contagion and bank runs\ndue to failure of individual financial institutions, as the public will be aware that their deposits are protected. In addition,\nthe project will benefit the range of Kosovar firms, including MSMEs such as start-ups, women-managed businesses and\nexporting firms through KCGF, and the spectrum of MSMEs and corporates through the proposed NDB. Finally, the project\nwill benefit those individuals and firms who make or receive digital payments (48 percent in 2021, World Bank Findex) by\nsupporting systems to increase their speed and affordability, as well as the banks who intermediate those payments.\n\n\n**D. Project Components**\n\n16. The proposed financing instrument comprises a US$52 million (EUR 49.3 million), with private capital expected to\nbe mobilized equivalent to US$179 million. The operation is structured as an Investment Project Financing (IPF) with some\nfunds provided as results-based financing in the form of Performance-Based Conditions (PBCs) and Financial Intermediary\nFinancing (FIF). The project components are displayed in figure 4.\n\n\n**Figure 2. Proposed Project Components and Implementing Agencies**\n\n\n**Component 1: Strengthening Financial and\n\nMention: \"Findex 2021\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"58 percent of adults hold an account at a financial institution.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004698:17:0", "occurrence_id": "092d132793d9612775d995b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKosovo Financial Sector Development (P507881)\n\n\nKosovo financial sector safety net. Households and firm that have deposits in the financial system will be the main\nbeneficiaries from the project: an expected 150,000 depositors to benefit initially upon approval of additional coverage\nfrom EUR 5,000 to 10,000 and an estimated 166,000 depositors by the close of the project. According to surveys, 58\npercent of adults in Kosovo have an account in financial institutions (Findex 2021). Enhancing the financial capacity of DIFK\nwill ensure that these customers’ savings are more fully protected. Banks will also benefit from the strengthening of\nfinancial sector safety net under the project as a stronger safety net will help reduce the risk of contagion and bank runs\ndue to failure of individual financial institutions, as the public will be aware that their deposits are protected. In addition,\nthe project will benefit the range of Kosovar firms, including MSMEs such as start-ups, women-managed businesses and\nexporting firms through KCGF, and the spectrum of MSMEs and corporates through the proposed NDB. Finally, the project\nwill benefit those individuals and firms who make or receive digital payments (48 percent in 2021, World Bank Findex) by\nsupporting systems to increase their speed and affordability, as well as the banks who intermediate those payments.\n\n\n**D. Project Components**\n\n16. The proposed financing instrument comprises a US$52 million (EUR 49.3 million), with private capital expected to\nbe mobilized equivalent to US$179 million. The operation is structured as an Investment Project Financing (IPF) with some\nfunds provided as results-based financing in the form of Performance-Based Conditions (PBCs) and Financial Intermediary\nFinancing (FIF). The project components are displayed in figure 4.\n\n\n**Figure 2. Proposed Project Components and Implementing Agencies**\n\n\n**Component 1: Strengthening Financial and\n\nMention: \"World Bank Findex\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Share of adults making or receiving digital payments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004669:37:2", "occurrence_id": "2eb3dd39b085509a68a3ba34", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  security filings, or other employment or<br>full-time consultancy documentation.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|➢ <br>**Direct jobs created that are held by women (Percentage)**|➢ <br>**Direct jobs created that are held by women (Percentage)**|\n|Description|Startups are required to provide detailed headcount data, including new hires (full-time equivalent) once an<br>ISSF investment happened, verified through payroll records, social security filings, and other employment or<br>full-time consultancy documentation. Gender-disaggregated data is reported to inform this indicator.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n\n\n\nPage 29\n\nMention: \"headcount data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Startups must report detailed headcount including new full-time equivalents.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004669:37:2", "occurrence_id": "8e3a4e25afd8e04fe4039d22", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  security filings, or other employment or<br>full-time consultancy documentation.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|➢ <br>**Direct jobs created that are held by women (Percentage)**|➢ <br>**Direct jobs created that are held by women (Percentage)**|\n|Description|Startups are required to provide detailed headcount data, including new hires (full-time equivalent) once an<br>ISSF investment happened, verified through payroll records, social security filings, and other employment or<br>full-time consultancy documentation. Gender-disaggregated data is reported to inform this indicator.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n\n\n\nPage 29\n\nMention: \"payroll records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Payroll documents verify the reported hires.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004669:37:2", "occurrence_id": "c9fffa954747a556a861bfdd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  security filings, or other employment or<br>full-time consultancy documentation.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|➢ <br>**Direct jobs created that are held by women (Percentage)**|➢ <br>**Direct jobs created that are held by women (Percentage)**|\n|Description|Startups are required to provide detailed headcount data, including new hires (full-time equivalent) once an<br>ISSF investment happened, verified through payroll records, social security filings, and other employment or<br>full-time consultancy documentation. Gender-disaggregated data is reported to inform this indicator.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n\n\n\nPage 29\n\nMention: \"social security filings\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Statutory filings independently verify jobs held by women.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004669:37:2", "occurrence_id": "7444953442f271f3361da09e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  security filings, or other employment or<br>full-time consultancy documentation.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n|➢ <br>**Direct jobs created that are held by women (Percentage)**|➢ <br>**Direct jobs created that are held by women (Percentage)**|\n|Description|Startups are required to provide detailed headcount data, including new hires (full-time equivalent) once an<br>ISSF investment happened, verified through payroll records, social security filings, and other employment or<br>full-time consultancy documentation. Gender-disaggregated data is reported to inform this indicator.|\n|Frequency|Semi-annual|\n|Data source|Reporting by beneficiary VC funds and startups|\n|Methodology for Data Collection|ISSF to source the data directly through the VC funds and beneficiary startups.|\n|Responsibility for Data Collection|ISSF|\n\n\n\nPage 29\n\nMention: \"Gender-disaggregated data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Disaggregation is required specifically to produce the women's jobs indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004788:4:1", "occurrence_id": "170717ae2e15fb01938c88c4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to\ndigitize services and improve online delivery is constrained by limited administrative and financial resources,\ninfrastructure gaps, and the high costs of internet service and digital devices. Although digital transformation was\nidentified as a priority for 54.1 percent of the country’s municipalities, <sup>8</sup> [^8: Charlita de Freitas, Luciano and Andres, Luis Alberto and da Silva Oliveira, Daniel and Oliveira, Wanessa and Najles, Julian, The role of public sector digital\ntransformation in the government plans of candidates for Brazil's 2024 municipal elections (November 23, 2024). Available at SSRN:\n<u>[https://ssrn.com/abstract=5031852 or http://dx.doi.org/10.2139/ssrn.5031852](https://ssrn.com/abstract=5031852)</u>] only 25 percent have joined Rede Gov.Br,\nand 49 percent have some form of online presence allowing people to access services. <sup>9</sup> [^9: Electronic Government (Mayorships) Data (2023) from 2024 ICT Household Survey.] However, when\nmunicipalities and states receive the necessary tools for digital transformation, the results are significant. In the\nMunicipality of São Paulo, a pioneer in subnational digital transformation in Brazil, the average cost reduction for\ncitizens following the adoption of Gov.br was approximately 74 percent. <sup>10</sup> [^10: Inter-American Development Bank. _Economic Benefits of Public Service Digital Transformation: The Case of the City of São Paulo._ 2023. HYPERLINK\n\"https://publications.iadb.org/en/economic-benefits-public-service-digital-transformation-case-city-saopaulo\"https://publications.iadb.org/en/economic-benefits-public-service-digital-transformation-case-city-sao-paulo.] The cost of receiving citizen requests\ndecreased by 45 percent, while the average cost reduction for processing these requests was reduced by 54\npercent (Table 1). Accelerating the digital transformation of municipalities and states will be key\n\nMention: \"Electronic Government (Mayorships) Data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Only a quarter of municipalities have joined the national digital network.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004788:4:1", "occurrence_id": "7dda1091ea26b21246beb714", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  to\ndigitize services and improve online delivery is constrained by limited administrative and financial resources,\ninfrastructure gaps, and the high costs of internet service and digital devices. Although digital transformation was\nidentified as a priority for 54.1 percent of the country’s municipalities, <sup>8</sup> [^8: Charlita de Freitas, Luciano and Andres, Luis Alberto and da Silva Oliveira, Daniel and Oliveira, Wanessa and Najles, Julian, The role of public sector digital\ntransformation in the government plans of candidates for Brazil's 2024 municipal elections (November 23, 2024). Available at SSRN:\n<u>[https://ssrn.com/abstract=5031852 or http://dx.doi.org/10.2139/ssrn.5031852](https://ssrn.com/abstract=5031852)</u>] only 25 percent have joined Rede Gov.Br,\nand 49 percent have some form of online presence allowing people to access services. <sup>9</sup> [^9: Electronic Government (Mayorships) Data (2023) from 2024 ICT Household Survey.] However, when\nmunicipalities and states receive the necessary tools for digital transformation, the results are significant. In the\nMunicipality of São Paulo, a pioneer in subnational digital transformation in Brazil, the average cost reduction for\ncitizens following the adoption of Gov.br was approximately 74 percent. <sup>10</sup> [^10: Inter-American Development Bank. _Economic Benefits of Public Service Digital Transformation: The Case of the City of São Paulo._ 2023. HYPERLINK\n\"https://publications.iadb.org/en/economic-benefits-public-service-digital-transformation-case-city-saopaulo\"https://publications.iadb.org/en/economic-benefits-public-service-digital-transformation-case-city-sao-paulo.] The cost of receiving citizen requests\ndecreased by 45 percent, while the average cost reduction for processing these requests was reduced by 54\npercent (Table 1). Accelerating the digital transformation of municipalities and states will be key\n\nMention: \"2024 ICT Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The survey from which the municipal e-government data derive.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004796:13:1", "occurrence_id": "9b06eb626bb7ec28f22dd12f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  health, and water. The\nsustainability of community institutions varies depending on whether they enjoy broad grassroots support or if they were\ncreated only to attract aid.\n\n\n8. **Collaboration among community, local, and state institutions is critical to taking on common development**\n**challenges, including expanding access to basic services, responding to climate and conflict shocks, and enhancing**\n**livelihoods and local economic development.** Extensive analytical work conducted through the Bulsho ASA contributed\nto efforts to deepen the understanding of community and local institutions in Somalia. Quantitative surveys of households\nand community leaders and comparative case studies on how rural and urban communities resolve common development\nproblems reveal the crucial role of community institutions in facilitating collective action in response to common\ndevelopment problems. This research also found that communities were more successful when they could combine\ncommunity resources and knowledge with external support, particularly from district authorities (if active), local\nnongovernment organizations, and local partners of international actors.\n\n\n9. **Fostering collaboration based on an inclusive social settlement and agreed rules and processes that Somalia**\n**citizens can trust regardless of their clan affiliation remains challenging.** Obstacles include:\n\n\na) **Unequal access to and participation in existing community institutions.** The Bulsho ASA surveys found that the\n\ndistribution of community institutions is highly variable, and that household participation is concentrated in a\nsmall number of households. Only about 10 percent of survey respondents said they had participated in a\ncommunity institution in the past two years.\nb) **Foundational social cohesion and reconciliation.** The Bulsho ASA and other surveys show that rates of social\n\ncohesion are lowest among social groups such as clans, subclans, livelihood groups, internally displaced persons,\nand host communities—impeding collective action and collaboration on common development problems.\nc) **Citizen-state trust and the social contract.** Trust is the weakest component\n\nMention: \"Bulsho ASA surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Found participation concentrated in few households, with only about 10 percent participating.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004758:3:0", "occurrence_id": "5d7675597283851bd9365079", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGazetted Forests Management Project 2(P508182)\n\n\nclimate shocks, which affects their livelihood, making women more vulnerable to lose their livelihood <sup>1</sup> . Women\nalso continue to experience an increased burden of domestic work and family care, preventing them from\ndevoting more time for paid work and/or education, that could alleviate them from poverty <sup>2</sup> [^2: UN Women. 2019. World survey on the role of women in development 2019 : why addressing women's income and time poverty matters for sustainable\ndevelopment.] . Addressing the\nunderlying factors that create gender gaps and inequalities can help build resilience of women and girls towards\nclimate change <sup>3</sup> [^3: World Bank Group. 2023. Benin Country Climate and Development Report. CCDR Series. © Washington, DC: World\nBank. http://hdl.handle.net/10986/40688 License: <u>[CC BY-NC-ND 3.0 IGO.](https://creativecommons.org/licenses/by-nc-nd/3.0/igo/)</u>] .\n\n\nSectoral and Institutional Context\n\n\n5. Forest cover continues to be highly exposed to deforestation and degradation at the national level. Despite efforts\nto sustainably manage forest resources, deforestation rates are high – with an average rate of forest degradation\nof 50,000 hectares (ha) per year, or 1.6 percent per year between 2015-2020. In 2021, forests covered 5.8 million\nha of the territory, down from 7.89 million ha in 2005 – a 26 percent reduction over 16 years. Deforestation trends\nare driven by several factors but are threatened directly by subsistence agriculture, fuelwood, illegal timber\nextraction, and urban sprawl. Indirect drivers of deforestation and forest degradation include high population\npressure, poverty, and weak land governance. In the last 16 years forest cover decreased by over 2 million ha,\nwhile agricultural\n\nMention: \"World survey on the role of women in development 2019\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Links women's time and income poverty to unpaid domestic burden.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004741:35:4", "occurrence_id": "d787bb29a7bb22e7af3da4d8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: >participation (such as legal, social, or institutional constraints); and promote gender equality in the labor market.|The CRI values are cumulative. The CRI includes the main beneficiaries who are parents of children attending project-<br>supported ECCE services as well as other youth and adults. The CRI covers interventions including but not limited to those<br>designed to increase access to employment opportunities for women; improve the quality of jobs available to them (e.g.<br>through better working conditions, higher wages, social protection, or skills development); address barriers to labor force<br>participation (such as legal, social, or institutional constraints); and promote gender equality in the labor market.|\n||Frequency|Frequency|** Semi-annual**|** Semi-annual**|** Semi-annual**|\n||Data source|Data source|** Secondary data from MoEST, MoHDFSGA,MoRTCDLLG**|** Secondary data from MoEST, MoHDFSGA,MoRTCDLLG**|** Secondary data from MoEST, MoHDFSGA,MoRTCDLLG**|\n||Methodology for<br>Data Collection|Methodology for<br>Data Collection|** Administrative records**|** Administrative records**|** Administrative records**|\n||Responsibility for<br>Data Collection|Responsibility for<br>Data Collection|** CEU**|** CEU**|** CEU**|\n\n\n**Monitoring & Evaluation Plan: Intermediate Results Indicators by Components**\n\n|Increasing access to quality, inclusive ECCE in targeted areas|Col2|\n|---|---|\n|** Corporate result indicator (CRI). People benefiting from climate resilient infrastructure (Number\n\nMention: \"Secondary data from MoEST, MoHDFSGA,MoRTCDLLG\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Three ministries' administrative records supply the labour participation indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004788:3:0", "occurrence_id": "4e20cd918af69c2db0910041", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBrazilian States and Municipalities Digital Acceleration Project(P508363)\n\n\n<mark>to rise between 1.7°C and 5.3°C by 2085.</mark> <sup>1</sup> [^1: World Bank Group. Climate Change Knowledge Portal: Brazil - Climate Data Projections. https://climateknowledgeportal.worldbank.org/country/brazil/climate-dataprojections] <mark>While overall precipitation levels are expected to decrease over time,</mark>\n<mark>leading to reduced water availability, rainfall is projected to occur in more uneven, heavy, and extreme patterns,</mark>\n<mark>heightening the risk of flooding. The proposed Project targets municipalities and states located mostly in</mark>\n<mark>underdeveloped regions of Brazil’s North and Northeast, which are more vulnerable to the effects of climate</mark>\n<mark>change. This condition might impose additional risks on physical infrastructure and threaten social cohesion.</mark>\n<mark>Climate change impacts in Brazil could push between 800,000 to 3,000,000 people into extreme poverty as soon</mark>\n<mark>as 2030.</mark> <sup>2</sup> [^2: World Bank. Country Climate and Development Report: Brazil. https://www.worldbank.org/en/programs/lac-green-growth-leading-the-change-we-need/brazil] <mark>According to the project’s Climate and Disaster Risk Screening Report, rising temperatures and increased</mark>\n<mark>occurrences of extreme precipitation could adversely impact physical infrastructure and assets. For instance,</mark>\n<mark>heatwaves could damage equipment at data centers and affect the efficiency of their cooling systems.</mark>\n<mark>Additionally, heavy rainfall and flooding could damage optical fiber cables, disrupting connectivity and digital</mark>\n<mark>service delivery.</mark\n\nMention: \"Climate Data Projections\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Projections of warming by 2085 cited with the portal URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004788:3:0", "occurrence_id": "0b512711307b32c4ad91bf4e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBrazilian States and Municipalities Digital Acceleration Project(P508363)\n\n\n<mark>to rise between 1.7°C and 5.3°C by 2085.</mark> <sup>1</sup> [^1: World Bank Group. Climate Change Knowledge Portal: Brazil - Climate Data Projections. https://climateknowledgeportal.worldbank.org/country/brazil/climate-dataprojections] <mark>While overall precipitation levels are expected to decrease over time,</mark>\n<mark>leading to reduced water availability, rainfall is projected to occur in more uneven, heavy, and extreme patterns,</mark>\n<mark>heightening the risk of flooding. The proposed Project targets municipalities and states located mostly in</mark>\n<mark>underdeveloped regions of Brazil’s North and Northeast, which are more vulnerable to the effects of climate</mark>\n<mark>change. This condition might impose additional risks on physical infrastructure and threaten social cohesion.</mark>\n<mark>Climate change impacts in Brazil could push between 800,000 to 3,000,000 people into extreme poverty as soon</mark>\n<mark>as 2030.</mark> <sup>2</sup> [^2: World Bank. Country Climate and Development Report: Brazil. https://www.worldbank.org/en/programs/lac-green-growth-leading-the-change-we-need/brazil] <mark>According to the project’s Climate and Disaster Risk Screening Report, rising temperatures and increased</mark>\n<mark>occurrences of extreme precipitation could adversely impact physical infrastructure and assets. For instance,</mark>\n<mark>heatwaves could damage equipment at data centers and affect the efficiency of their cooling systems.</mark>\n<mark>Additionally, heavy rainfall and flooding could damage optical fiber cables, disrupting connectivity and digital</mark>\n<mark>service delivery.</mark\n\nMention: \"Climate and Disaster Risk Screening Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Screening found heat and extreme precipitation could damage infrastructure assets.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004788:4:2", "occurrence_id": "e5baa3064cd4bf94fb4e7f79", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |1.5|\n|Vehicle rotation – exemption for people with disabilities (PWD)|12|0|6.6|7.4|\n|Web Password – online unlocking for MEI, individual entrepreneur and individual|31.1|0|0|10.2|\n|Single Student Ticket – monthly gratuity release*|29.4|7.9|9.3|4.4|\n\n\n\n5 Brazilian Institute of Geography and Statistics (IBGE). Continuous National Household Sample Survey 2022.\nhttps://www.ibge.gov.br/en/statistics/social/labor/18083-annual-dissemination-pnadc3.html\n\n\n\n6 Regional Center for Studies on the Development of the Information Society (Cetic.br) – ICT Households 2023 Survey. Available at:\n<u>[https://cetic.br/media/docs/publicacoes/2/20240826110205/executive_summary_ict_households_2023.pdf](https://cetic.br/media/docs/publicacoes/2/20240826110205/executive_summary_ict_households_2023.pdf)</u>\n\n\n\n7 Electronic Government (Mayorships) Data (2023) from 2024 ICT Household Survey. Available at:\nhttps://cetic.br/media/docs/publicacoes/2/20240826103905/executive_summary_ict_electronic_government_2023.pdf\n\n\n\n8 Charlita de Freitas, Luciano and Andres, Luis Alberto and da Silva Oliveira, Daniel and Oliveira, Wanessa and Najles, Julian, The role of public sector digital\ntransformation in the government plans of candidates for Brazil's 2024 municipal elections (November 23, 2024). Available at SSRN:\n<u>[https://ssrn\n\nMention: \"Continuous National Household Sample Survey 2022\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household survey cited with URL for service use and labour data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004788:4:2", "occurrence_id": "95b0246d16d9011dc66eecfc", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |1.5|\n|Vehicle rotation – exemption for people with disabilities (PWD)|12|0|6.6|7.4|\n|Web Password – online unlocking for MEI, individual entrepreneur and individual|31.1|0|0|10.2|\n|Single Student Ticket – monthly gratuity release*|29.4|7.9|9.3|4.4|\n\n\n\n5 Brazilian Institute of Geography and Statistics (IBGE). Continuous National Household Sample Survey 2022.\nhttps://www.ibge.gov.br/en/statistics/social/labor/18083-annual-dissemination-pnadc3.html\n\n\n\n6 Regional Center for Studies on the Development of the Information Society (Cetic.br) – ICT Households 2023 Survey. Available at:\n<u>[https://cetic.br/media/docs/publicacoes/2/20240826110205/executive_summary_ict_households_2023.pdf](https://cetic.br/media/docs/publicacoes/2/20240826110205/executive_summary_ict_households_2023.pdf)</u>\n\n\n\n7 Electronic Government (Mayorships) Data (2023) from 2024 ICT Household Survey. Available at:\nhttps://cetic.br/media/docs/publicacoes/2/20240826103905/executive_summary_ict_electronic_government_2023.pdf\n\n\n\n8 Charlita de Freitas, Luciano and Andres, Luis Alberto and da Silva Oliveira, Daniel and Oliveira, Wanessa and Najles, Julian, The role of public sector digital\ntransformation in the government plans of candidates for Brazil's 2024 municipal elections (November 23, 2024). Available at SSRN:\n<u>[https://ssrn\n\nMention: \"ICT Households 2023 Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household ICT use measured by the national research centre.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004788:4:2", "occurrence_id": "42f5b269fe502074ab6e681d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |1.5|\n|Vehicle rotation – exemption for people with disabilities (PWD)|12|0|6.6|7.4|\n|Web Password – online unlocking for MEI, individual entrepreneur and individual|31.1|0|0|10.2|\n|Single Student Ticket – monthly gratuity release*|29.4|7.9|9.3|4.4|\n\n\n\n5 Brazilian Institute of Geography and Statistics (IBGE). Continuous National Household Sample Survey 2022.\nhttps://www.ibge.gov.br/en/statistics/social/labor/18083-annual-dissemination-pnadc3.html\n\n\n\n6 Regional Center for Studies on the Development of the Information Society (Cetic.br) – ICT Households 2023 Survey. Available at:\n<u>[https://cetic.br/media/docs/publicacoes/2/20240826110205/executive_summary_ict_households_2023.pdf](https://cetic.br/media/docs/publicacoes/2/20240826110205/executive_summary_ict_households_2023.pdf)</u>\n\n\n\n7 Electronic Government (Mayorships) Data (2023) from 2024 ICT Household Survey. Available at:\nhttps://cetic.br/media/docs/publicacoes/2/20240826103905/executive_summary_ict_electronic_government_2023.pdf\n\n\n\n8 Charlita de Freitas, Luciano and Andres, Luis Alberto and da Silva Oliveira, Daniel and Oliveira, Wanessa and Najles, Julian, The role of public sector digital\ntransformation in the government plans of candidates for Brazil's 2024 municipal elections (November 23, 2024). Available at SSRN:\n<u>[https://ssrn\n\nMention: \"2024 ICT Household Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Round supplying the municipal e-government data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004801:5:0", "occurrence_id": "d95fe5b44283f1c49250de16", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDRC Urban Flood Resilience Project (P508410)\n\n\n9. **Climate risk is a threat multiplier, keeping communities across DRC in a vicious cycle of fragility and vulnerability to**\n**poverty, resource-driven conflicts, displacement and livelihood insecurity.** The 2021 Risk and Resilience Assessment\n(RRA) <sup>5</sup> [^5: World Bank (2021). Democratic Republic of Congo Risk and Resilience Assessment (June 2021).] for the DRC identified a fragmented conflict landscape, coupled with pervasive governance challenges and\nresource exploitation, as the key drivers of fragility, conflict, and violence. The co-location of multiple hazards with\narmed conflict, violence against civilians, and violent discontent shows clear coexistence in the east of the country.\nThis region is particularly prone to both natural hazards and various forms of violence, making it a critical area for\ntargeted interventions. Increasing frequency and intensity of climate shocks, such as floods, droughts and extreme\nweather events, exacerbate economic disparities, particularly in urban and conflict-affected regions where rapid\npopulation growth and unregulated resource extraction strain already limited infrastructure and services. Climate\nrisks further undermine the sustainability of livelihoods by aggravating land disputes, intensifying poverty, and driving\nlarge-scale displacement, creating immense challenges for social cohesion and resilience across communities.\n\n10. **The DRM system in DRC is fragmented with over 40 Ministries, Departments, and Agencies (MDAs) involved in**\n**emergency preparedness and response without clear roles and overlapping mandates.** Currently, there is no\nadopted DRM Law or Policy that regulates the sector. The Government has developed a Disaster Risk Reduction\nStrategy and Action Plan (2024) which has been validated by the relevant sector ministries and is pending formal\napproval by the Council of Ministers. The Ministry of Interior, Security, Decentralization and Traditional Affairs (MoI),\nunder which lies Civil Protection, has the mandate for coordination in emergency response and chair the national DRM\nplatform, which is intended to be\n\nMention: \"2021 Risk and Resilience Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Identified fragmented conflict landscape and governance as fragility drivers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004801:5:0", "occurrence_id": "9aa014bddf543213506759eb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nDRC Urban Flood Resilience Project (P508410)\n\n\n9. **Climate risk is a threat multiplier, keeping communities across DRC in a vicious cycle of fragility and vulnerability to**\n**poverty, resource-driven conflicts, displacement and livelihood insecurity.** The 2021 Risk and Resilience Assessment\n(RRA) <sup>5</sup> [^5: World Bank (2021). Democratic Republic of Congo Risk and Resilience Assessment (June 2021).] for the DRC identified a fragmented conflict landscape, coupled with pervasive governance challenges and\nresource exploitation, as the key drivers of fragility, conflict, and violence. The co-location of multiple hazards with\narmed conflict, violence against civilians, and violent discontent shows clear coexistence in the east of the country.\nThis region is particularly prone to both natural hazards and various forms of violence, making it a critical area for\ntargeted interventions. Increasing frequency and intensity of climate shocks, such as floods, droughts and extreme\nweather events, exacerbate economic disparities, particularly in urban and conflict-affected regions where rapid\npopulation growth and unregulated resource extraction strain already limited infrastructure and services. Climate\nrisks further undermine the sustainability of livelihoods by aggravating land disputes, intensifying poverty, and driving\nlarge-scale displacement, creating immense challenges for social cohesion and resilience across communities.\n\n10. **The DRM system in DRC is fragmented with over 40 Ministries, Departments, and Agencies (MDAs) involved in**\n**emergency preparedness and response without clear roles and overlapping mandates.** Currently, there is no\nadopted DRM Law or Policy that regulates the sector. The Government has developed a Disaster Risk Reduction\nStrategy and Action Plan (2024) which has been validated by the relevant sector ministries and is pending formal\napproval by the Council of Ministers. The Ministry of Interior, Security, Decentralization and Traditional Affairs (MoI),\nunder which lies Civil Protection, has the mandate for coordination in emergency response and chair the national DRM\nplatform, which is intended to be\n\nMention: \"Democratic Republic of Congo Risk and Resilience Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Full assessment title and date cited in the footnote.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004835:4:0", "occurrence_id": "daabc048d4d8928a6827e2ff", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGuatemala Civil Aviation Recovery Program (P508751)\n\n\naviation sector is particularly vital given Guatemala’s vulnerability to natural hazards, including volcanic ash, fog, and heavy\nrainfall during the wet season.\n\n8. **Guatemala air transport however significantly lags its regional peers.** Airports and aerodromes are critical for\nensuring fast, secure national and international connectivity, linking remote regions to urban centers and improving access\nto essential services, critical for a mountainous country. The country’s aviation infrastructure consists of 17 airports and\naerodromes, various air traffic management facilities, and several private airfields for nonpublic commercial purposes. In\n2024, the sector handled more than 5.3 million passengers across more than 30 international and domestic routes, serving\nas a key driver of the country’s global integration (DGAC 2025). Despite this, in 2021, Guatemala air transport ranked 78th\nout of 118 countries worldwide, and 4th out of 6 Central American countries on the World Economic Forum (WEF)\nconnectivity index.\n\n9. **The GoG is committed to reforming the civil aviation sector.** Currently, the DGAC, under the Ministry of\nCommunications, Infrastructure, and Housing (CIV), performs both regulatory and operational functions, against\nInternational Civil Aviation Organization (ICAO) standards: ICAO guidance requires civil aviation authorities to maintain\nindependent safety oversight functions from airports operations and air navigation services. Guatemala is an outlier in\nLatin America and the Caribbean (LAC), where most countries comply with this core governance principle; the main\nexceptions are Paraguay and, to a lesser extent, Colombia and Costa Rica. A 2024 self-assessment in Guatemala identified\nonly 30 percent compliance with the ICAO’s safety-related Standards and Recommended Practices (SARPs). The GoG is\ndeveloping a new legislation to separate civil aviation regulation and airport operation, currently both under DGAC, into\ntwo entities. Submission\n\nMention: \"World Economic Forum (WEF)\nconnectivity index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Ranked 78th of 118 countries and 4th of six Central American countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004835:4:0", "occurrence_id": "850bada9e9f7385663966b74", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGuatemala Civil Aviation Recovery Program (P508751)\n\n\naviation sector is particularly vital given Guatemala’s vulnerability to natural hazards, including volcanic ash, fog, and heavy\nrainfall during the wet season.\n\n8. **Guatemala air transport however significantly lags its regional peers.** Airports and aerodromes are critical for\nensuring fast, secure national and international connectivity, linking remote regions to urban centers and improving access\nto essential services, critical for a mountainous country. The country’s aviation infrastructure consists of 17 airports and\naerodromes, various air traffic management facilities, and several private airfields for nonpublic commercial purposes. In\n2024, the sector handled more than 5.3 million passengers across more than 30 international and domestic routes, serving\nas a key driver of the country’s global integration (DGAC 2025). Despite this, in 2021, Guatemala air transport ranked 78th\nout of 118 countries worldwide, and 4th out of 6 Central American countries on the World Economic Forum (WEF)\nconnectivity index.\n\n9. **The GoG is committed to reforming the civil aviation sector.** Currently, the DGAC, under the Ministry of\nCommunications, Infrastructure, and Housing (CIV), performs both regulatory and operational functions, against\nInternational Civil Aviation Organization (ICAO) standards: ICAO guidance requires civil aviation authorities to maintain\nindependent safety oversight functions from airports operations and air navigation services. Guatemala is an outlier in\nLatin America and the Caribbean (LAC), where most countries comply with this core governance principle; the main\nexceptions are Paraguay and, to a lesser extent, Colombia and Costa Rica. A 2024 self-assessment in Guatemala identified\nonly 30 percent compliance with the ICAO’s safety-related Standards and Recommended Practices (SARPs). The GoG is\ndeveloping a new legislation to separate civil aviation regulation and airport operation, currently both under DGAC, into\ntwo entities. Submission\n\nMention: \"2024 self-assessment in Guatemala\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Found only 30 percent compliance with aviation safety standards.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004813:44:0", "occurrence_id": "539a985e653c25f171d45a36", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nPacific Healthy Islands Transformation Project (P508550) PROJECT APPRAISAL DOCUMENT\n\n\n**Monitoring & Evaluation Plan: PDO Indicators by PDO Outcomes**\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Strengthen regional systems to increase access to quality health services within participating Pacific Island Countries, with a focus<br>on NCD management|Col2|\n|---|---|\n|<br>**Percentage of trained health workers who demonstrate increased knowledge on NCD management** <br>|<br>**Percentage of trained health workers who demonstrate increased knowledge on NCD management** <br>|\n|Description <br>|Numerator: Number of trained health workers who score at least 75% in an assessment for the foundation<br>module<br>Denominator: Number of health workers trained<br>|\n|Frequency <br>|** Annual** <br>|\n|<br>Data source <br>|<br>** eLearning database**|\n|<br>Methodology for<br>Data Collection <br>|<br>**Project report**|\n|<br>Responsibility for<br>Data Collection <br>|** eLearning provider** <br>|\n|<br>**Prevalence of HbA1C testing among registered type 2 diabetes patients, disaggregated by gender and country **<br> <br>|<br>**Prevalence of HbA1C testing among registered type 2 diabetes patients, disaggregated by gender and country **<br> <br>|\n|Description<br>|**Percentage of registered type 2 diabetes patients who receive HbA1C testing within the last 6 months**<br>|\n|Frequency<br>|**Semi-annual**<br>|\n|Data source<br\n\nMention: \"eLearning database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Training assessment scores drawn from the provider's e-learning system.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004846:6:2", "occurrence_id": "5aee5c108e440ab995559235", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  at least 50 percent of natural disasters registered\nin Cameroon, CAR, Gabon and RoC between 1980 and 2020 since they were mostly constituted of floods, epidemics,\nand droughts. <sup>33</sup> [^33: World Bank Climate Change Knowledge Portal. https://climateknowledgeportal.worldbank.org/] All five countries rank rather poorly on the Notre Dame Global Adaptation Initiative (ND-GAIN) index, <sup>34</sup> [^34: Notre Dame Global Adaptation Initiative // University of Notre Dame. Global Country Ranking. https://gain.nd.edu/our-work/country-index/rankings/]\nfrom 126 for **Gabon**, to 155 for **Cameroon**, 174 for **RoC**, and 186 for **CAR**, and 187 for **Chad** out of 187 countries\nglobally, denoting high vulnerability and low readiness. The vulnerability of the health sector contributes to poor\n\n\n26 The GHSI measures indicators in six areas of preparedness, alongside indicators on country context that could shape their abilities to prevent, detect and rapidly\nrespond to outbreaks.\n26 The GHSI measures indicators in six areas of preparedness, alongside indicators on country context that could shape their abilities to prevent, detect and rapidly\nrespond to outbreaks.\n[27 Global Health Security Index. https://www.ghsindex.org/](https://www.ghsindex.org/)\n28 Other preparedness metrics, such as ReadyScore28, illustrate similar weaknesses. ReadyScore assess a country’s capacity to find, stop, and prevent epidemics based\non an average score across nineteen technical capacities evaluated in WHO’s Joint External Evaluation (JEE).\n[29 WHO. IHR Capacity Progress. https://extranet.who.int/e-spar/ Accessed on Dec. 9,2024.](https://extranet.who.int/e-spar/)\n30 The State Party Self-Assessment Annual Report (SPAR\n\nMention: \"Global Health Security Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Composite preparedness index across six areas, cited with URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004818:2:1", "occurrence_id": "882321772dadffedea830962", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  tourism-related assets with**\n**untapped potential.** Comprising six provinces in Argentina, Patagonia is rich in natural resources, including fossil fuel\nreserves, renewable energy potential, and diverse ecosystems that support fisheries, forestry, and eco-tourism. The\nEsquel-Bariloche–San Martín de los Andes corridor has successfully attracted over one million tourists annually,\nshowcasing the region's appeal. There are ongoing discussions between Argentina and Chile to develop a coordinated\nstrategy to leverage the strengths of the Patagonia brand, aiming to create a seamless and sustainable tourism\nexperience that fosters economic growth in the region. However, the region faces infrastructure and institutional\nchallenges that hinder its full development including: (i) poor connectivity, (ii) gaps in infrastructure, and (iii)\nunderdeveloped destinations, which require coordinated public investments. Key aspects for tourism development\ninclude (i) preserving natural resources, (ii) enhancing cross-border connectivity, and (iii) strengthening institutional\ncapacity. Infrastructure development on the Argentine side is crucial, as many crossings are paved on the Chilean side,\nhighlighting the need for investment to ensure seamless integration. The proposed MPA for Tourism in Argentine\nPatagonia will support the provinces of Neuquén and others in strengthening connectivity, infrastructure, and disaster\nrisk management to foster economic growth and job creation. A robust citizen engagement and stakeholder\ncoordination approach will ensure the project's success while fostering local ownership and contributing to sustainable\ntourism development with a Patagonian identity.\n\n\n1For Argentina, the data refers to Gross Fixed Capital Formation as share of GDP, at current prices for the year 2024. Available at: indec.gob.ar. For\n[regional and advanced peers' data comes from the IMF WEO Database: https://www.imf.org/en/Publications/WEO/weo-database/2024/October](https://www.imf.org/en/Publications\n\nMention: \"IMF WEO Database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Peer country investment shares compared against national accounts data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004810:30:0", "occurrence_id": "8a5a7809a2acc559ef5306f1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAccelerating Trade Facilitation in the Pacific (P508537) PROJECT APPRAISAL DOCUMENT\n\n\nand final result), and other data sources covering the region including the World Bank’s Business-Ready assessment. Each\ncountry PMU will be responsible for (a) collecting and compiling relevant data for project results indicators, (b) evaluating\nresults, and (c) providing the relevant performance information to be consolidated and reported to the World Bank on a\nsemiannual basis. The PDO indicators are disaggregated at the country level. Intermediate results indicators are\naggregated across all project countries. The World Bank task team will be responsible for aggregating these country-level\nresults. IAs and the World Bank will undertake a midterm review three years following the effectiveness date, to assess\nthe status of project implementation and the need for adjustments.\n\n\n**C. Disbursement Arrangements**\n\n39. **All the participating countries and the PIF through their PMUs will access funding from the World Bank using**\n**the disbursement methods described in the World Bank Disbursement Handbook, that is, advance, direct payment,**\n**reimbursement, and special commitments.** Detailed disbursement procedures will be documented in the Financial\nManagement chapter of Project Operations Manual. Upon credit/grant effectiveness, each entity will be required to\nsubmit a withdrawal application for an initial deposit to the DA, drawn from the IDA credit/grant, in an amount to be\nagreed to in the Disbursement and Financial Information Letter (DFIL). Due to the lapse loan in Solomon Islands and Fiji,\nthe advance method will not be available for the Solomon Islands Ministry of Finance and Treasury and the FRCS until the\nlapse loan is resolved. The World Bank will offer access to FundsChain to all participating countries starting FY2026.\nThis is an innovative, user-friendly blockchain-based platform that will enhance the participating countries\n\nMention: \"Business-Ready assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Regional comparative assessment used alongside project data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004838:4:0", "occurrence_id": "8fbabef55c042b109f6a71bb", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nAzerbaijan Gas Leak Detection and Repair Facility(P508792)\n\n\ni. Unbundling of the gas sector to establish a clear distinction between storage, transmission, distribution, and\nretail, and their functional and operational separation by separate legal entities. The deadline for the full\nimplementation of unbundling was set for January 1, 2027; and\n\n\nii. Gas tariffs regulation and setting authority to be fully transferred to the energy regulatory agency (AERA).\nThe deadline for the regulatory transitional period was set for July 1, 2028. The counterparts informed that a\nspecial purpose law is being drafted in follow up to the new gas law, which will provide the legal background\nfor the establishment of a new interim authority for gas tariffs regulation during the transitional period\n(however, not yet named publicly). From July 1, 2028, onwards AERA is expected to take full control of tariffs\nsetting and regulation across all levels of the gas sector.\n\n\n9. **More than 60 percent of the distribution network of Azerigas is a legacy from the Soviet era, and long past its**\n**technical lifetime** . Leaks are significant and must be urgently repaired to reduce the financial burden of lost gas. In\nfact, all legacy assets would require replacement to avoid further gas leaks, but the full replacement cost of the\ndistribution network is estimated at Manat 1.526 billion. Azerigas would like to replace its distribution network in\nbatches starting with the most urgent parts first and has made plans to use the outcomes of the gas leak baseline\nprogram that the company is currently undertaking to inform investment decisions. However, these plans can only\ncommence after investment decisions have been made, which stands to be a multi-year endeavor. As such, interim\nefforts to address leakage remain critical and necessary to not only reduce the financial burden caused by lost gas,\nbut also to address the emissions released before replacement.\n\n\n10. **SOCAR is\n\nMention: \"gas leak baseline\nprogram\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Leak survey outcomes will inform network replacement investment decisions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004808:3:0", "occurrence_id": "4d006784ae44de5dceec8d4f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening Social Protection for Improved Resilience, Inclusion and Targeting(P508519)\n\n\n3. **Bangladesh’s future prosperity will require poor households to graduate from social assistance programs towards**\n**self-reliance through tailored livelihoods support.** Evidence from Bangladesh and across the world highlights that\neconomic inclusion programs that provide a bundle of services designed to meet the specific needs and constraints of\nits intended population can enhance their employability and earning prospects, through skills training, counseling and\nmentoring, and simultaneous access to finance. Such a graduation strategy that allows poor households to ‘move up\nthe ladder’ is vital for Bangladesh’s labor market and a fiscally sustainable social protection net. Youth unemployment\nfor 15–24-year-olds remains high at 16 percent (BLFS 2023), particularly for those with advanced education degrees\nat 37 percent. The latest Bangladesh Sample Vital Statistics Report for 2023 found 39.8 percent of youth (15-24 years)\nwere not in education, employment or training (NEET). Female labor force participation remains nearly half of men.\nGiven that majority of workers are in the informal economy and engaged in micro-enterprises, the need for\naugmenting support for microentrepreneurs will be essential to the recovery plan in Bangladesh.\n\n4. **The Government of Bangladesh (GoB) recognizes the above challenges related to coverage, targeting and**\n**graduation, and has initiated several reforms to address these.** These efforts have been guided by the National Social\nSecurity Strategy (NSSS 2015-2026), which lays out a vision for an inclusive social security system that effectively\ntackles and prevents poverty and inequality while also contributing to broader human development, employment,\nand economic growth. As the country makes its journey towards upper middle-income status, while contending with\nvarious challenges—including demographic shifts, informality, shocks, and new technology—deliberations on the new\nsocial\n\nMention: \"BLFS 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Youth unemployment at 16 percent, 37 percent for advanced degree holders.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004808:3:0", "occurrence_id": "7e11f40aad8b3b7cd24e8a62", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nStrengthening Social Protection for Improved Resilience, Inclusion and Targeting(P508519)\n\n\n3. **Bangladesh’s future prosperity will require poor households to graduate from social assistance programs towards**\n**self-reliance through tailored livelihoods support.** Evidence from Bangladesh and across the world highlights that\neconomic inclusion programs that provide a bundle of services designed to meet the specific needs and constraints of\nits intended population can enhance their employability and earning prospects, through skills training, counseling and\nmentoring, and simultaneous access to finance. Such a graduation strategy that allows poor households to ‘move up\nthe ladder’ is vital for Bangladesh’s labor market and a fiscally sustainable social protection net. Youth unemployment\nfor 15–24-year-olds remains high at 16 percent (BLFS 2023), particularly for those with advanced education degrees\nat 37 percent. The latest Bangladesh Sample Vital Statistics Report for 2023 found 39.8 percent of youth (15-24 years)\nwere not in education, employment or training (NEET). Female labor force participation remains nearly half of men.\nGiven that majority of workers are in the informal economy and engaged in micro-enterprises, the need for\naugmenting support for microentrepreneurs will be essential to the recovery plan in Bangladesh.\n\n4. **The Government of Bangladesh (GoB) recognizes the above challenges related to coverage, targeting and**\n**graduation, and has initiated several reforms to address these.** These efforts have been guided by the National Social\nSecurity Strategy (NSSS 2015-2026), which lays out a vision for an inclusive social security system that effectively\ntackles and prevents poverty and inequality while also contributing to broader human development, employment,\nand economic growth. As the country makes its journey towards upper middle-income status, while contending with\nvarious challenges—including demographic shifts, informality, shocks, and new technology—deliberations on the new\nsocial\n\nMention: \"Bangladesh Sample Vital Statistics Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Share of youth not in education, employment or training.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004852:4:1", "occurrence_id": "581c61dfbb45021109926e61", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \npercent of GDP) <sup>4</sup> [^4: The World Bank FSAP Capital Markets Technical Note (January 2022) is the source of financial sector figures.] . However, their assets are mostly invested in government debt, listed equities, and in the case of\npension funds up to 40 percent of Assets Under management (AUM) in foreign assets due to the scarcity of long-term\ndomestic assets with investable risk-return profile. Exposure of SA’s institutional investors to domestic infrastructure\nassets is on average around 5-7 percent of AUM. Despite the fact, that matching long-term infrastructure projects with\nlong-term investment returns of institutional investors aligns duration of funding with the life span of the projects,\noptimizing returns and minimizing risks. The exposure of around 5-7 percent of AUM is also well below peer countries\nexposure of around 35 percent (e.g. Colombia. Chile, Malaysia).\n\n\n11. **However, the financial sector lacks the appropriate instruments to derisk infrastructure projects outside the**\n**existing model of sovereign guarantees on the public off-taker.** A new approach to derisk and improve the\naffordability of infrastructure projects, less reliant on the GSA support through sovereign guarantees, would enable\nGSA to mobilize private capital through SA’s deep financial markets into strategic infrastructure for economic growth\nand development, while limiting its fiscal impact. As in many other middle-income countries (e.g., Chile, Colombia,\nMexico and more recently Nigeria), issuance of credit guarantees could play a capital market development role enticing\ninstitutional investors – discouraged by infrastructure related risks – to increase their portfolio allocation to the\ninfrastructure asset class (i.e., project revenue bonds, asset backed securities, recycling commercial bank loans, etc.).\nThis effort needs to be accompanied by reforms in the target real economy sectors to ensure the sustainability of\nprojects and, eventually, the phasing out of derisking instruments\n\n\nRelationship to CPF\n12. **This Operation is aligned with the World Bank’s Country Partnership\n\nMention: \"financial sector figures\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"FSAP technical note named as the source of financial sector figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004835:5:1", "occurrence_id": "9a8d0069b9ec440d393dbbc9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: ,\nonly one PPP has been approved, in 2021. A key deterrent has been the requirement for congressional approval after\ncontract award, which introduced uncertainty and discouraged bidder participation. Facing those challenges, the GoG is\nadvancing comprehensive reforms, including legislation to establish an autonomous entity for airport operations and air\nnavigation services, the creation of a new Civil Aviation Authority (CAA), and measures to strengthen governance and\nimprove infrastructure. In addition, modifications of the PPP law in November 2025 streamlined the PPP approval\nprocesses and eliminated the requirement for congressional approval of infrastructure projects upon award. Finally, to\nfoster collaboration and lay the groundwork for future PPP in the aviation sector, the GoG has established an\ninterinstitutional public-private working group, bringing together the DGAC, the Vice Ministry of Transport, and key public\nand private stakeholders.\n\n15. **Given its strategic position, the aviation sector must also adapt to social risks arising from regional migration**\n**dynamics.** Air transport is essential to Guatemala’s management of returned nationals: 94 percent of individuals deported\nfrom other countries arrive by air at the AILA complex, making AILA and the DGAC key actors in the reception process. The\nexisting Returnee Reception Center in Zone 13 has been a successful model, assisting an average of 100,000 people\nannually, including a growing number of women, families, and unaccompanied minors. However, the center must vacate\nits current location by the end of 2026, as it has been operating on a temporary basis under a shared arrangement with\nthe army, making it imperative to identify and implement an alternative solution in the near term.\n\n16. **AILA is exposed to significant human trafficking risks that requires targeted attention.** Between 2023 and 2024,\naround 800 victims of trafficking were identified in Guatemala, according to data from the Trafficking in Persons (TIP)\nReport and the Secretariat against Sexual Violence, Exploitation and Trafficking in Persons (SVET). This\n\nMention: \"Trafficking in Persons (TIP)\nReport\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Around 800 trafficking victims identified over two years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004852:4:2", "occurrence_id": "5105aa8d3b2e681b1cfde85c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  needs to be accompanied by reforms in the target real economy sectors to ensure the sustainability of\nprojects and, eventually, the phasing out of derisking instruments\n\n\nRelationship to CPF\n12. **This Operation is aligned with the World Bank’s Country Partnership Framework (CPF FY22–26), Performance**\n**and Learning Review (PLR FY25) and core analytics.** _First_, Focus Area 3 of the CPF FY22-26 (CPF P167262) aims at\nimproving infrastructure investment framework and selected infrastructure services. _Second_, the South African Climate\nChange and Development Report (WB 2022) outlines a strategy for achieving a just transition toward a low-carbon and\nclimate resilient society. It emphasizes the need for investment to mitigate the impact of climate change and create\nnew job opportunities. _Third_, the South African Drivers of Growth Report (WB 2025) outlines that SA’s growth is driven\nby delivering high-quality and affordable infrastructure services, among other drivers. _Fourth_, the ‘Institutional Reforms\nfor Strengthening Strategic Infrastructure Delivery in SA (WBG/NDB June 2024) underlines the importance of\n\n\n4 The World Bank FSAP Capital Markets Technical Note (January 2022) is the source of financial sector figures.\n\n\nPage 4\n\n\nOfficial Use Only\n\nMention: \"financial sector figures\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Same FSAP note cited as the source of financial sector figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004892:4:1", "occurrence_id": "1ce72c1ebdac28429d013051", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: . Agriculture and pastoralism account for 73 percent of household\nincome (Chad poverty Assessment, 2021). Declining levels of rainfall and rising temperatures pose a severe risk to rural\nChadian households which earn their livelihood from agriculture. In the other hand, persistent drought has accelerated\ndesertification in the northern part of the country, reducing the size of agro-pastoral areas and spurring a southward shift\nin transhumance patterns, heightening tensions between farming and herding communities.\n\n\n8. **Chad's natural resources are increasingly under pressure as the country's population increases.** Land\nproductivity deteriorates as a result of excessive or inadequate use and there is greater competition for scarce resources\nsuch as land, pastures and water. The cost of land degradation is estimated at 7 percent of GDP, reflecting considerable\nimpacts, especially due to changes in land use, water erosion and overgrazing10. Forested areas, wetlands and rangelands\nare converted for cultivation or to respond to growing urbanization. Chad’s forest area has dropped from 5 percent of\ntotal land area in 2000 to 3.3 percent in 2021 (Word Development Indicators). The north of the country is primarily desert\n(600,370 km <sup>2</sup> ) with a vegetative cover of 46 km <sup>2</sup>, and further south the Sahelian band (553,590 km <sup>2</sup> ) has a vegetative cover\nof around 450 km <sup>2</sup> . The Sudanian zone, in the South of the country, covers an area of 130,040 km <sup>2</sup> and has a vegetation\ncover of around 87, 000 km <sup>2</sup> .\n9. **Land degradation trends are generally negative with signs for potential to improve.** Recent evaluations of\ndegradation in Chad <sup>\n\nMention: \"Word Development Indicators\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Forest area fell from 5 percent of land to 3.3 percent.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004892:2:0", "occurrence_id": "1bde840688fa9916ff4f351f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRESILAND CHAD: Building Resilience through Sustainable Natural Resource Management (P509357)\n\n\nIDA Grant <u>100.00</u>\n\n\n|Non-World Bank Group Financing|Col2|\n|---|---|\n|Trust Funds|9.31|\n|Adaptation Fund|9.31|\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Chad is a landlocked, low-density and climatically diverse, Sahelian Least Developed Country (LDC) with a**\n**population of 18.2 million inhabitants in 2023,** <sup>**1**</sup> [^1: (i) United Nations Population Division. World Population Prospects: 2022 Revision; (ii) Statistical databases and publications from\nnational statistical offices; (iii) Eurostat: Demographic Statistics; (iv) United Nations Statistics Division. Population and Vital Statistics\nReport (various years).] **most of whom are rural (76 percent).** <sup>**2**</sup> [^2: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.] Despite considerable natural\nresources and significant oil production since 2003, Chad remains among the poorest and least developed countries in the\nWorld. At the national level, the incidence of poverty in Chad has increased by 2.5 percentage points, rising from 42.3\npercent in 2018 to 44.8 percent in 2022. This increase implies that the poor population has grown by 1.2 million, reaching\na total of 7.8 million <sup>3</sup> [^3: World Bank, Poverty, Shared Prosperity, and Equity Update-Chad (2024).] . Poverty remains predominantly a rural phenomenon, with one out of every two people living in\nrural areas being classified as poor. Additionally, there are significant regional disparities\n\nMention: \"World Population Prospects\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Population figure drawn from the revision plus three further sources.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004892:2:0", "occurrence_id": "70a47a4a16b0d78bdc2856e2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRESILAND CHAD: Building Resilience through Sustainable Natural Resource Management (P509357)\n\n\nIDA Grant <u>100.00</u>\n\n\n|Non-World Bank Group Financing|Col2|\n|---|---|\n|Trust Funds|9.31|\n|Adaptation Fund|9.31|\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Chad is a landlocked, low-density and climatically diverse, Sahelian Least Developed Country (LDC) with a**\n**population of 18.2 million inhabitants in 2023,** <sup>**1**</sup> [^1: (i) United Nations Population Division. World Population Prospects: 2022 Revision; (ii) Statistical databases and publications from\nnational statistical offices; (iii) Eurostat: Demographic Statistics; (iv) United Nations Statistics Division. Population and Vital Statistics\nReport (various years).] **most of whom are rural (76 percent).** <sup>**2**</sup> [^2: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.] Despite considerable natural\nresources and significant oil production since 2003, Chad remains among the poorest and least developed countries in the\nWorld. At the national level, the incidence of poverty in Chad has increased by 2.5 percentage points, rising from 42.3\npercent in 2018 to 44.8 percent in 2022. This increase implies that the poor population has grown by 1.2 million, reaching\na total of 7.8 million <sup>3</sup> [^3: World Bank, Poverty, Shared Prosperity, and Equity Update-Chad (2024).] . Poverty remains predominantly a rural phenomenon, with one out of every two people living in\nrural areas being classified as poor. Additionally, there are significant regional disparities\n\nMention: \"Eurostat: Demographic Statistics\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"One of four demographic sources combined for the population figure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004892:2:0", "occurrence_id": "fe02dfa9aab9ede5352653b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRESILAND CHAD: Building Resilience through Sustainable Natural Resource Management (P509357)\n\n\nIDA Grant <u>100.00</u>\n\n\n|Non-World Bank Group Financing|Col2|\n|---|---|\n|Trust Funds|9.31|\n|Adaptation Fund|9.31|\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Chad is a landlocked, low-density and climatically diverse, Sahelian Least Developed Country (LDC) with a**\n**population of 18.2 million inhabitants in 2023,** <sup>**1**</sup> [^1: (i) United Nations Population Division. World Population Prospects: 2022 Revision; (ii) Statistical databases and publications from\nnational statistical offices; (iii) Eurostat: Demographic Statistics; (iv) United Nations Statistics Division. Population and Vital Statistics\nReport (various years).] **most of whom are rural (76 percent).** <sup>**2**</sup> [^2: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.] Despite considerable natural\nresources and significant oil production since 2003, Chad remains among the poorest and least developed countries in the\nWorld. At the national level, the incidence of poverty in Chad has increased by 2.5 percentage points, rising from 42.3\npercent in 2018 to 44.8 percent in 2022. This increase implies that the poor population has grown by 1.2 million, reaching\na total of 7.8 million <sup>3</sup> [^3: World Bank, Poverty, Shared Prosperity, and Equity Update-Chad (2024).] . Poverty remains predominantly a rural phenomenon, with one out of every two people living in\nrural areas being classified as poor. Additionally, there are significant regional disparities\n\nMention: \"Population and Vital Statistics\nReport\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"UN series listed among the population sources across various years.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004892:2:0", "occurrence_id": "c9e0e99f71883e6235caa7b7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRESILAND CHAD: Building Resilience through Sustainable Natural Resource Management (P509357)\n\n\nIDA Grant <u>100.00</u>\n\n\n|Non-World Bank Group Financing|Col2|\n|---|---|\n|Trust Funds|9.31|\n|Adaptation Fund|9.31|\n\n\n\n\n\nOther Decision (as needed)\n\n\n**B. Introduction and Context**\n\nCountry Context\n\n\n1. **Chad is a landlocked, low-density and climatically diverse, Sahelian Least Developed Country (LDC) with a**\n**population of 18.2 million inhabitants in 2023,** <sup>**1**</sup> [^1: (i) United Nations Population Division. World Population Prospects: 2022 Revision; (ii) Statistical databases and publications from\nnational statistical offices; (iii) Eurostat: Demographic Statistics; (iv) United Nations Statistics Division. Population and Vital Statistics\nReport (various years).] **most of whom are rural (76 percent).** <sup>**2**</sup> [^2: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.] Despite considerable natural\nresources and significant oil production since 2003, Chad remains among the poorest and least developed countries in the\nWorld. At the national level, the incidence of poverty in Chad has increased by 2.5 percentage points, rising from 42.3\npercent in 2018 to 44.8 percent in 2022. This increase implies that the poor population has grown by 1.2 million, reaching\na total of 7.8 million <sup>3</sup> [^3: World Bank, Poverty, Shared Prosperity, and Equity Update-Chad (2024).] . Poverty remains predominantly a rural phenomenon, with one out of every two people living in\nrural areas being classified as poor. Additionally, there are significant regional disparities\n\nMention: \"World Urbanization Prospects\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Staff estimates of the rural share based on the 2018 revision.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004892:3:2", "occurrence_id": "d82942f197f1e7cfec2e84cd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  They are disproportionally affected by poverty and have significantly less livelihood opportunities than\nmen.8 While women and girls are also often more vulnerable and suffer more from the consequences of food insecurity,\nthey remain the main pillars of agricultural production in the country. Women are often confined to cultivating subsistence\ncrops through traditional farming practices, with little access to extension and advisory services or farm inputs. Genderrelated inequalities also extend to access to tenure security, financial services, and knowledge. These disparities have\nprofound consequences for household productivity, income diversification, and intergenerational economic mobility.\n\n\n5 <u>[https://gain.nd.edu/our-work/country-index/rankings/](https://gain.nd.edu/our-work/country-index/rankings/)</u>\n6 WHO, Sudan conflict – Situation in refugee-hosting countries, December 2024.\n7 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour\nOrganization and United Nations Population Division.\n8 A technical study on gender and climate change conducted as part of the ALBIA project, “Etude sur le genre et l’impact du\nchangement climatique sur les femmes et les mécanismes d’adaptation aux changements climatiques », March 2020\n\n\nPage 3\n\nMention: \"World Development Indicators database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimates built from labour and population division data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004958:2:2", "occurrence_id": "6492a72318d788253f784c57", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  businesses. However, the Establishments Census of 2023 shows that\nthe rate of new business formation is decelerating, which partly explains the slow job creation.\nSeveral factors help explain the lower-than-expected job creation in the country: slow growth in labor-intensive sectors\n(e.g., construction, light manufacturing); low levels and quality of education and skills among the labor force; traditional\nand subsistence agriculture; low survival rates and lack of growth among entrepreneurs who are mostly own account\nworkers without paid employees; lack of information connecting employers and job seekers; among others.\nThe World Bank’s Business-Ready Index 2024 shows that Rwanda ranks high in terms of business environment and\ninternational trade. Rwanda has also taken great strides in advancing digital infrastructure and has been recognized as\na pioneer in East Africa with many initiatives creating an enabling environment for digital based jobs. Despite these\nefforts, use of digital based services and digital innovation remains low. For example, there is near universal mobile\nphone coverage but limited smart phone use hindering digital penetration and access. Kigali, the capital city of Rwanda,\nhas a great potential for accelerated job creation – key to youth employment challenges. It attracts many foreign and\n\n\nPage 2\n\nMention: \"Establishments Census of 2023\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Census shows new business formation decelerating, explaining slow job creation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004968:3:0", "occurrence_id": "309ab6e96557d02f18bdf562", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHonduras Energy Access Project (P510113)\n\n\n2. **There are substantial inequalities in access to infrastructure services like electricity, water, transportation, and**\n**sanitation, particularly in rural areas of Honduras.** These gaps limit inclusive economic growth and rural job creation. <sup>4</sup>\nAccording to 2023 figures, over half of the population (52 percent) lived below the upper middle income poverty line of\nUS$6.85 per capita per day (2017 PPP). Poverty below the international line of US$2.15/day line (2017 PPP) remains high,\nat an estimated 14 percent, which is higher than most countries in the region. <sup>5</sup> Furthermore, official numbers from the\nNational Institute of Statistics (NIS) indicate that 64.1 percent of rural households are poor. <sup>6</sup> Additionally, Honduras faces\nsome of the lowest human development outcomes in the region. Poverty is particularly high in areas disproportionately\nrepresented by indigenous peoples (IP) and Afro-Hondurans. <sup>7</sup> Population Census data highlights that Gracias a Dios, a\ndepartment with a high concentration of indigenous communities, has the worst levels of access to basic services such as\nelectricity, water, sanitation, and education. Recent evidence shows that minority communities and women have been\ndisproportionately affected by unemployment, income loss, and worsened access to services because of the COVID-19\npandemic and tropical storms ETA and IOTA. There is an urgent need to scale up programs that provide access to basic\nservices such as electricity to further Honduras’s development efforts and facilitate greater job creation.\n\n3. **Honduras is also highly exposed and vulnerable to extreme weather events and natural hazards.** <sup>**8**</s\n\nMention: \"2023 figures\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Most of the population sits below the upper middle income poverty line.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004968:3:0", "occurrence_id": "7be421c44ea84baaee817d54", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nHonduras Energy Access Project (P510113)\n\n\n2. **There are substantial inequalities in access to infrastructure services like electricity, water, transportation, and**\n**sanitation, particularly in rural areas of Honduras.** These gaps limit inclusive economic growth and rural job creation. <sup>4</sup>\nAccording to 2023 figures, over half of the population (52 percent) lived below the upper middle income poverty line of\nUS$6.85 per capita per day (2017 PPP). Poverty below the international line of US$2.15/day line (2017 PPP) remains high,\nat an estimated 14 percent, which is higher than most countries in the region. <sup>5</sup> Furthermore, official numbers from the\nNational Institute of Statistics (NIS) indicate that 64.1 percent of rural households are poor. <sup>6</sup> Additionally, Honduras faces\nsome of the lowest human development outcomes in the region. Poverty is particularly high in areas disproportionately\nrepresented by indigenous peoples (IP) and Afro-Hondurans. <sup>7</sup> Population Census data highlights that Gracias a Dios, a\ndepartment with a high concentration of indigenous communities, has the worst levels of access to basic services such as\nelectricity, water, sanitation, and education. Recent evidence shows that minority communities and women have been\ndisproportionately affected by unemployment, income loss, and worsened access to services because of the COVID-19\npandemic and tropical storms ETA and IOTA. There is an urgent need to scale up programs that provide access to basic\nservices such as electricity to further Honduras’s development efforts and facilitate greater job creation.\n\n3. **Honduras is also highly exposed and vulnerable to extreme weather events and natural hazards.** <sup>**8**</s\n\nMention: \"Population Census data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Census shows a department with high indigenous concentration has the worst service access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004958:4:2", "occurrence_id": "2d72e29a18d6715b70fa2fd5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: tative, US$0.9 million).** This component will be the foundational stage for stage 2 and will\ninvolve identifying about 9,000 potential participants from communities in Kigali. It will leverage the _Imibereho_ Social\nRegistry System (ISRS), a system that contains data on household welfare of Rwandans and whose goal is to build\nRwanda's social protection floor for effective service delivery and equitable access to social programs for the poor and\nvulnerable Rwandans. Eligible youth will be expected to meet four eligibility criteria, including those who (1) are\nbetween 18 to 34 years old; (2) live in the city of Kigali; (3) are poor and vulnerable as demonstrated by household\n\n\nPage 4\n\nMention: \"_Imibereho_ Social\nRegistry System\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Registry used to identify potential participants in the capital.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004958:4:2", "occurrence_id": "de7ab8830ec0ba8b210446dd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: tative, US$0.9 million).** This component will be the foundational stage for stage 2 and will\ninvolve identifying about 9,000 potential participants from communities in Kigali. It will leverage the _Imibereho_ Social\nRegistry System (ISRS), a system that contains data on household welfare of Rwandans and whose goal is to build\nRwanda's social protection floor for effective service delivery and equitable access to social programs for the poor and\nvulnerable Rwandans. Eligible youth will be expected to meet four eligibility criteria, including those who (1) are\nbetween 18 to 34 years old; (2) live in the city of Kigali; (3) are poor and vulnerable as demonstrated by household\n\n\nPage 4\n\nMention: \"data on household welfare of Rwandans\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Household welfare records underpin the social protection floor.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004900:4:2", "occurrence_id": "69a4d3d8af4b7a0ffa02696b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  management of rubble is part of an\noverall inadequate SWM system. The six million tons of rubble from the 2006 conflict was disposed of in coastal areas or\nas part of the waste management infrastructure with reported negative ecosystem impacts. <sup>14</sup> The volume of rubble\nmaterial from the 2023-24 conflict is significantly higher than in 2006, making it even more critical to apply rigorous\nenvironmental management standards. Explosive Remnants of War (ERW) are anticipated in highly damaged areas and\ncareful management is required to reduce fatalities and injuries in the rubble management process. The Ministry of\n\n\n7 Ibid\n8 Restore water and sanitation infrastructure, repair damage, replace missing or damaged school equipment\n\n[9 WB (2024) Another Lost Year: Link](https://documents1.worldbank.org/curated/en/099092623073542135/pdf/P1758140ac57150b0aeb70e40d19f082b5.pdf)\n10 WB Group; European Union; United Nations. (2020). Beirut Rapid Damage and Needs Assessment. Washington, DC.\n11 Provisional estimates from forthcoming Rapid Damage and Needs Assessment\n\n12 Ibid\n13 Rubble is also variously referred to globally as construction and demolition waste (CDW) or debris.\n[14 UN Environment Program (2007) Lebanon Post Conflict Environmental Assessment link](http://data.infopro.com.lb/file/Lebanon%20Post-Conflict%20Environmental%20Assessment-2007.pdf)\n\n\nPage 4\n\nMention: \"Lebanon Post Conflict Environmental Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Assessment cited with link on rubble disposal after the earlier conflict.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004908:3:1", "occurrence_id": "993e2722ad068b57d550307d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  (PARP, P146328), improving connectivity between the national railway network and the Ferghana Valley. While railway\nreforms are still at an early stage, ongoing and past World Bank support has informed the strategic direction for the sector’s\ntransformation, as set out in recent Presidential Resolutions.\n\n\n8. **Overall, Uzbekistan's transport sector is undergoing significant changes to improve efficiency, competitiveness, and**\n**connectivity, both domestically and internationally.** The government is transforming the sector through a range of activities that\ninclude reforms in the organization of transport state-owned enterprises, introduction of governance international best practices,\nprivate sector participation, among others. Ambitious reforms aim at rectifying institutional fragmentation, foster competition, and\nimprove cost recovery mechanisms. The absence of long-term planning in the transport sector necessitates development of the sector\nstrategy and masterplan that focuses on transitioning from fragmented to integrated multimodal planning, enhancing governance\nthrough the Ministry of Transport, and fostering market-based development. It aims to improve infrastructure connectivity, support\neconomic growth, and ensure sustainable development by addressing environmental considerations and strategic infrastructure\nplanning.\n\n\n9. **This project will promote moving away from ad-hoc investments by developing a comprehensive transport sector master**\n**plan.** As identified by a recently completed Infrastructure Sector Assessment Program (InfraSAP) for the road and rail sectors,\nUzbekistan’s investments have been done without a broader-picture assessment that a transport sector master plan could provide.\nThis project addresses this flaw by financing a transport sector master plan, which will sequence investments in a logical and most\neffective manner, increasing value for money and improving the use of available resources. The project also addresses other\nsuggestions, by using a PPP innovative delivery model for the Tashkent-Andijan Road network, allowing the GoU to open the road\nsector to increased investment, increase accountability and quality of work performed. Finally, this project will introduce performancebased maintenance contracts\n\nMention: \"Infrastructure Sector Assessment Program\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Diagnosed ad-hoc investment without broader-picture assessment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004906:6:0", "occurrence_id": "8a0d3927343660a3cf9e2345", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nGreen and Efficient Ferry Sector in Croatia(P509484)\n\n\n**14.** **This component will include the procurement of new green vessels and retrofitting of existing vessels operated by**\n**Jadrolinija** (including replacing engines for lower energy consumption alternatives). <mark>For new and retrofitted vessels, the</mark>\n<mark>activity will consider different alternatives for technology investments, ranging from transitional energy efficiency</mark>\n<mark>improvements to the uptake of alternative fuels and cutting-edge technologies. Combined with IFC financing, the project</mark>\n<mark>will finance a total of six green new-build vessels running on d</mark> ual-fuel technology utilizing diesel and green methanol.\n\n\n\n\n\nTo be entered from ESRS\n\n\n\n\n\n\n\n\n\n\n\n\n\nPage 6\n\n\nOfficial Use Only\n\nMention: \"ESRS\""}, {"role": "assistant", "content": "{\"role\": \"background\", \"usage_action\": \"curate\", \"summary\": \"Placeholder for the environmental and social risk summary still to be entered.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004968:3:2", "occurrence_id": "097ada3c100de547884f07bd", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -level Objective (HLO) 2: Inclusive Economic Development and Job Creation; and\nObjective 5: Improved infrastructure. It is also aligned with HLO 3: Strengthened Resilience to Natural Hazards; HLO 7:\nImproved climate resilience; and HLO 8: Strengthened institutional and financial framework for risk management.\nAccording to the CPF, in addition to the technical assistance provided to Secretariat of Energy (SEN) and Empresa Nacional\nde Energía Eléctrica (ENEE) to help advance energy sector reforms and promote energy efficiency, the World Bank will\nalso support under the new Project ‘testing out alternative solutions to increase access in rural areas, by supporting local,\nand decentralized off-grid solar initiatives’.\n\n\n4 <u><mark>[Encuesta Permanente de Hogares de Propósitos Múltiples (EPHPM) (National Institute of Statistics (NIS), 2018).](https://www.ine.gob.hn/publicaciones/Hogares/EPHPM_2018/02_EPHPM_Resumen_Ejecutivo_2018.pdf)</mark></u>\n5 <u><mark>Macro</mark></u> <u>[Poverty Outlook for Honduras, October 2024](https://thedocs.worldbank.org/en/doc/e408a7e21ba62d843bdd90dc37e61b57-0500032021/related/mpo-hnd.pdf)</u> <mark>(WB, 2024).</mark>\n6 <u><mark>[EPHPM](https://ine.gob.hn/v4/2023/12/05/el-instituto-nacional-de-estadistica-ine-social\n\nMention: \"Encuesta Permanente de Hogares de Propósitos Múltiples\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household survey cited with URL for access and poverty data.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004968:3:2", "occurrence_id": "cf1e37c96ee504cab958a7b1", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -level Objective (HLO) 2: Inclusive Economic Development and Job Creation; and\nObjective 5: Improved infrastructure. It is also aligned with HLO 3: Strengthened Resilience to Natural Hazards; HLO 7:\nImproved climate resilience; and HLO 8: Strengthened institutional and financial framework for risk management.\nAccording to the CPF, in addition to the technical assistance provided to Secretariat of Energy (SEN) and Empresa Nacional\nde Energía Eléctrica (ENEE) to help advance energy sector reforms and promote energy efficiency, the World Bank will\nalso support under the new Project ‘testing out alternative solutions to increase access in rural areas, by supporting local,\nand decentralized off-grid solar initiatives’.\n\n\n4 <u><mark>[Encuesta Permanente de Hogares de Propósitos Múltiples (EPHPM) (National Institute of Statistics (NIS), 2018).](https://www.ine.gob.hn/publicaciones/Hogares/EPHPM_2018/02_EPHPM_Resumen_Ejecutivo_2018.pdf)</mark></u>\n5 <u><mark>Macro</mark></u> <u>[Poverty Outlook for Honduras, October 2024](https://thedocs.worldbank.org/en/doc/e408a7e21ba62d843bdd90dc37e61b57-0500032021/related/mpo-hnd.pdf)</u> <mark>(WB, 2024).</mark>\n6 <u><mark>[EPHPM](https://ine.gob.hn/v4/2023/12/05/el-instituto-nacional-de-estadistica-ine-social\n\nMention: \"Poverty Outlook for Honduras\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Macro poverty outlook supplying the current poverty estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004971:8:1", "occurrence_id": "a5326a80af0433abf65245df", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  enhance\nseparate collection schemes, and to build operational capacity. Advanced municipalities will be eligible for co-financing of\nequipment and infrastructure, such as bins, collection vehicles, or IT tools, to scale up and sustain improved waste\nmanagement practices. Municipalities will be encouraged to consult with women’s groups, civil society, and communitybased organizations during planning and implementation. Further details in terms of targeted technical assistance and\nsupport to municipalities, including a set of criteria to determine performance levels and eligibility for technical support\nand co-investments, will be elaborated in the Project Operations Manual (POM).\n\n\n**_Component 2: Waste Management Infrastructure Improvements (indicative cost estimate: EUR 15.00 million,_**\n**_equivalent to US$ 17.62 million)_**\nThe objective of this component is to build and develop a regional domestic waste management center in Nikšić,\npromoting sustainable domestic waste processing solutions, and fostering expertise in modern waste management\npractices to improve capacity and quality of waste services, strengthen inter-municipal cooperation, reduce\nenvironmental risks and ensure compliance with EU environmental standards, while ensuring facility design and\noperational protocols account for climate risks such as flooding and heat stress and incorporate resilience measures. The\ncenter will serve at least 75,000 of Montenegro’s population and 30% or more of its national territory <sup>7</sup> [^7: Based on MONSTAT data and including the municipalities of Nikšic, Savnik, Plužine, and Žabljak.] . In addition, the\ncenter will host a dedicated Knowledge Sharing and Visitors Center, which will provide capacity building, professional\ndevelopment, and knowledge sharing opportunities for waste management professionals and municipal staff. The training\n(delivered both through Component 1 and to operationalize RWMC under Component 2) will take the form of workshops,\ntechnical training sessions, and exchange programs, supporting the adoption of best practices and innovative approaches\nin waste management across the region. This Component will promote greater gender inclusion in the waste management\nworkforce by expanding opportunities for women across technical,\n\nMention: \"MONSTAT data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Population and territory share for served municipalities computed from national statistics.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004972:3:2", "occurrence_id": "1d3e6ceb0b62e956f782f2f6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the country’s ambitious policy goals.** While these policies outline key\nimplementation steps, such as mandating local authorities to establish adequate waste disposal facilities and ensure\nenvironmentally sound waste management, their implementation is hindered by limited financial resources, insufficient\nhuman capacity, and a lack of technical expertise at the local level. Additionally, weak coordination between state and\nmunicipal actors further affects the progress, with overlapping and/or unclear responsibilities between the Ministry of\nEcology, Sustainable Development and Norther Region Development (MESDNRD), local governments, and public utility\ncompanies. Furthermore, public awareness and participation in waste management practices, including recycling and\nproper disposal, remain low, highlighting the need for enhanced education and engagement efforts.\n\n\n1 Based on the MONSTAT data.\n\n\nPage 3\n\nMention: \"MONSTAT data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"National statistics underpin the low participation and coverage figures.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004971:11:1", "occurrence_id": "bde21f4905699a559b54e026", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: mark>management of waste & potentially hazardous waste and soil and groundwater contamination from legacy sites. Since</mark>\n<mark>the interventions are known at given locations, site specific ESIAs with ESMPs will be prepared for KAP, Bijela shipyard,</mark>\n<mark>and the Niksic WMC. The TA to be provided under all components will be aligned with the ESF, and this provision will be</mark>\n<mark>included in the ESCP and POM. An environmental and social checklist will be prepared for the cleanup of illegal</mark>\n<mark>dumpsites. Key OHS issues of the project are: accidents during construction works and operation of waste management</mark>\n<mark>facility, traffic accidents, lack of workers’ awareness on OHS requirements and safe workplace practices, potential</mark>\n<mark>exposure to toxic substances during handling or transporting the waste. No large scale labor camps are expected.</mark>\n<mark>Therefore, labor influx is expected to be low. Management of legacy pollution sites, illegal dumpsites, and construction</mark>\n<mark>of the WMC - all have specific operational details where pollution prevention and management is relevant and where</mark>\n<mark>specific provisions of this standard will need to apply and to be integrated into the site specific ESIA reports and ESMPs.</mark>\n<mark>Some of the illegal dumpsites may be located in natural habitats (e.g., forests) and biodiversity screening will be</mark>\n<mark>undertaken in such areas. If needed and indicated in the ESIA biodiversity baseline, a Biodiversity Management Plan will</mark>\n<mark>be prepared in line with ESS6. Some of the illegal dumpsites might be located on the private land and potentially affect</mark>\n<mark>the livelihoods of the waste pickers\n\nMention: \"ESIA biodiversity baseline\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Baseline determines where a biodiversity management plan is required.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004972:7:0", "occurrence_id": "333de76e0845cc96eb9c1dce", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nMontenegro Waste Sector Improvement Project (P510187)\n\n\n23. The objective of this component is to develop a regional domestic waste management center in Nikšić, promoting\nsustainable domestic waste processing solutions, and fostering expertise in modern waste management practices to\nimprove capacity, strengthen inter-municipal cooperation, reduce environmental risks, and ensure compliance with EU\nenvironmental standards. The center will serve at least 75,000 of Montenegro’s population and up to 30% of its national\nterritory. <sup>3</sup> [^3: Based on MONSTAT data and including the municipalities of Nikšic, Savnik, Plužine, and Žabljak.]\n\n\n_Subcomponent 2.1: Establishment of the Regional Domestic Waste Management Center_\n24. This subcomponent will support the development of a regional domestic waste management center in Nikšić by\nfinancing essential infrastructure and promoting sustainable waste processing solutions. The Waste Management Center\n(WMC) in Nikšic is expected to be a comprehensive facility designed to serve the waste management needs of the\nmunicipalities of Nikšic, Savnik, Plužine, and Žabljak (with potential for other municipalities to participate). While the\ndesign details are to be determined, the current intent of Niksic Municipality is to establish a self-sufficient WMC where\nall locally generated waste will be processed to reduce the need for landfilling and transportation of materials to other\nsites, such as Podgorica. The center will include a variety of facilities aimed at efficient waste processing and recycling.\nThese facilities will feature a line for the extraction and recovery of secondary raw materials from mixed waste, a press\nfor baling secondary raw materials, and temporary storage for both recovered and baled secondary raw materials as well\nas imported and separated special types of waste. Additionally, the WMC will house a composting plant for the treatment\nof organic waste, a plant for the recovery of electrical and other products from waste, and a shredder for construction\nwaste to prepare it for reuse, primarily as inert material for covering landfilled municipal waste. This center is a critical\n\nMention: \"MONSTAT data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Served population and territory derived from national statistics and named municipalities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:12:2", "occurrence_id": "827b374af28510f161407aa5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and employed 1.2 million\nteachers across 75,463 schools nationwide. While students complete 12.1 years of schooling, on average – when adjusted\nfor the _quality of learning_ - this figure decreases to 9.2 years with international assessments showing limited proficiency\nin key competencies such as problem solving and critical thinking. <sup>15,16</sup> [^15: The 2022 Programme for International Student Assessment found that only 39 percent of 15-year-old students in Türkiye demonstrated basic\nproficiency in mathematics, 29 percent in reading, and 25 percent in science.] [^16: World Bank (2022). Türkiye Human Capital Country Brief.] The _Türkiye Century Education Model_ <sup>_17_</sup> [^17: On August 2024, the circular on the implementation of the Model was published with the signature of Minister of National Education.] (upon which\nthe new competency-based curriculum is defined) supports further alignment of education and skills acquisition with\n\n\n5 Skills such as teaching, business, administration, health, and Information and Communication Technology (ICT)\n[6 OECD (2019). Skills Matter: Additional Results from the Survey of Adult Skills. OECD Skills Studies, OECD Publishing, Paris.](https://doi.org/10.1787/1f029d8f-en)\n7 Among 18–19-year-old vocational graduates, 15 percent enter 2–3 year university programs, 4 percent pursue 4-year degrees (MoNE 2023–\n2024), and 13 percent move directly into employment (Turkstat Household Labor Force Survey 2023).\n8 ISKUR’s 2023 Labor Market Needs Assessment.\n9 <u>[Turkstat Youth in Labor Market (2024).](https://data.tuik.gov.tr/Bulten/Index?p=Isgucu-Piyasasinda-Gencler-2024-57941#:~:text=15%2D34%20ya%C5%9F%20grubunda%20istihdam,606%20bini%20i%C5%9Fg%C3%BCc%C3%BCnde%20yer%20ald%C4\n\nMention: \"2022 Programme for International Student Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Only a minority show basic proficiency in maths, reading and science.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:12:2", "occurrence_id": "49c96f6f0e16836bb7a83012", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and employed 1.2 million\nteachers across 75,463 schools nationwide. While students complete 12.1 years of schooling, on average – when adjusted\nfor the _quality of learning_ - this figure decreases to 9.2 years with international assessments showing limited proficiency\nin key competencies such as problem solving and critical thinking. <sup>15,16</sup> [^15: The 2022 Programme for International Student Assessment found that only 39 percent of 15-year-old students in Türkiye demonstrated basic\nproficiency in mathematics, 29 percent in reading, and 25 percent in science.] [^16: World Bank (2022). Türkiye Human Capital Country Brief.] The _Türkiye Century Education Model_ <sup>_17_</sup> [^17: On August 2024, the circular on the implementation of the Model was published with the signature of Minister of National Education.] (upon which\nthe new competency-based curriculum is defined) supports further alignment of education and skills acquisition with\n\n\n5 Skills such as teaching, business, administration, health, and Information and Communication Technology (ICT)\n[6 OECD (2019). Skills Matter: Additional Results from the Survey of Adult Skills. OECD Skills Studies, OECD Publishing, Paris.](https://doi.org/10.1787/1f029d8f-en)\n7 Among 18–19-year-old vocational graduates, 15 percent enter 2–3 year university programs, 4 percent pursue 4-year degrees (MoNE 2023–\n2024), and 13 percent move directly into employment (Turkstat Household Labor Force Survey 2023).\n8 ISKUR’s 2023 Labor Market Needs Assessment.\n9 <u>[Turkstat Youth in Labor Market (2024).](https://data.tuik.gov.tr/Bulten/Index?p=Isgucu-Piyasasinda-Gencler-2024-57941#:~:text=15%2D34%20ya%C5%9F%20grubunda%20istihdam,606%20bini%20i%C5%9Fg%C3%BCc%C3%BCnde%20yer%20ald%C4\n\nMention: \"Survey of Adult Skills\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Adult skills assessment supplying additional skills results.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:12:2", "occurrence_id": "37a5d010114aaed8670f3303", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and employed 1.2 million\nteachers across 75,463 schools nationwide. While students complete 12.1 years of schooling, on average – when adjusted\nfor the _quality of learning_ - this figure decreases to 9.2 years with international assessments showing limited proficiency\nin key competencies such as problem solving and critical thinking. <sup>15,16</sup> [^15: The 2022 Programme for International Student Assessment found that only 39 percent of 15-year-old students in Türkiye demonstrated basic\nproficiency in mathematics, 29 percent in reading, and 25 percent in science.] [^16: World Bank (2022). Türkiye Human Capital Country Brief.] The _Türkiye Century Education Model_ <sup>_17_</sup> [^17: On August 2024, the circular on the implementation of the Model was published with the signature of Minister of National Education.] (upon which\nthe new competency-based curriculum is defined) supports further alignment of education and skills acquisition with\n\n\n5 Skills such as teaching, business, administration, health, and Information and Communication Technology (ICT)\n[6 OECD (2019). Skills Matter: Additional Results from the Survey of Adult Skills. OECD Skills Studies, OECD Publishing, Paris.](https://doi.org/10.1787/1f029d8f-en)\n7 Among 18–19-year-old vocational graduates, 15 percent enter 2–3 year university programs, 4 percent pursue 4-year degrees (MoNE 2023–\n2024), and 13 percent move directly into employment (Turkstat Household Labor Force Survey 2023).\n8 ISKUR’s 2023 Labor Market Needs Assessment.\n9 <u>[Turkstat Youth in Labor Market (2024).](https://data.tuik.gov.tr/Bulten/Index?p=Isgucu-Piyasasinda-Gencler-2024-57941#:~:text=15%2D34%20ya%C5%9F%20grubunda%20istihdam,606%20bini%20i%C5%9Fg%C3%BCc%C3%BCnde%20yer%20ald%C4\n\nMention: \"Turkstat Household Labor Force Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Shows a minority of vocational graduates move directly into employment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:12:2", "occurrence_id": "cbdb7ffb656543d64e77e45f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and employed 1.2 million\nteachers across 75,463 schools nationwide. While students complete 12.1 years of schooling, on average – when adjusted\nfor the _quality of learning_ - this figure decreases to 9.2 years with international assessments showing limited proficiency\nin key competencies such as problem solving and critical thinking. <sup>15,16</sup> [^15: The 2022 Programme for International Student Assessment found that only 39 percent of 15-year-old students in Türkiye demonstrated basic\nproficiency in mathematics, 29 percent in reading, and 25 percent in science.] [^16: World Bank (2022). Türkiye Human Capital Country Brief.] The _Türkiye Century Education Model_ <sup>_17_</sup> [^17: On August 2024, the circular on the implementation of the Model was published with the signature of Minister of National Education.] (upon which\nthe new competency-based curriculum is defined) supports further alignment of education and skills acquisition with\n\n\n5 Skills such as teaching, business, administration, health, and Information and Communication Technology (ICT)\n[6 OECD (2019). Skills Matter: Additional Results from the Survey of Adult Skills. OECD Skills Studies, OECD Publishing, Paris.](https://doi.org/10.1787/1f029d8f-en)\n7 Among 18–19-year-old vocational graduates, 15 percent enter 2–3 year university programs, 4 percent pursue 4-year degrees (MoNE 2023–\n2024), and 13 percent move directly into employment (Turkstat Household Labor Force Survey 2023).\n8 ISKUR’s 2023 Labor Market Needs Assessment.\n9 <u>[Turkstat Youth in Labor Market (2024).](https://data.tuik.gov.tr/Bulten/Index?p=Isgucu-Piyasasinda-Gencler-2024-57941#:~:text=15%2D34%20ya%C5%9F%20grubunda%20istihdam,606%20bini%20i%C5%9Fg%C3%BCc%C3%BCnde%20yer%20ald%C4\n\nMention: \"2023 Labor Market Needs Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Employment agency assessment of labour market needs.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:12:2", "occurrence_id": "08afea125d742639fe3433c9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  and employed 1.2 million\nteachers across 75,463 schools nationwide. While students complete 12.1 years of schooling, on average – when adjusted\nfor the _quality of learning_ - this figure decreases to 9.2 years with international assessments showing limited proficiency\nin key competencies such as problem solving and critical thinking. <sup>15,16</sup> [^15: The 2022 Programme for International Student Assessment found that only 39 percent of 15-year-old students in Türkiye demonstrated basic\nproficiency in mathematics, 29 percent in reading, and 25 percent in science.] [^16: World Bank (2022). Türkiye Human Capital Country Brief.] The _Türkiye Century Education Model_ <sup>_17_</sup> [^17: On August 2024, the circular on the implementation of the Model was published with the signature of Minister of National Education.] (upon which\nthe new competency-based curriculum is defined) supports further alignment of education and skills acquisition with\n\n\n5 Skills such as teaching, business, administration, health, and Information and Communication Technology (ICT)\n[6 OECD (2019). Skills Matter: Additional Results from the Survey of Adult Skills. OECD Skills Studies, OECD Publishing, Paris.](https://doi.org/10.1787/1f029d8f-en)\n7 Among 18–19-year-old vocational graduates, 15 percent enter 2–3 year university programs, 4 percent pursue 4-year degrees (MoNE 2023–\n2024), and 13 percent move directly into employment (Turkstat Household Labor Force Survey 2023).\n8 ISKUR’s 2023 Labor Market Needs Assessment.\n9 <u>[Turkstat Youth in Labor Market (2024).](https://data.tuik.gov.tr/Bulten/Index?p=Isgucu-Piyasasinda-Gencler-2024-57941#:~:text=15%2D34%20ya%C5%9F%20grubunda%20istihdam,606%20bini%20i%C5%9Fg%C3%BCc%C3%BCnde%20yer%20ald%C4\n\nMention: \"Turkstat Youth in Labor Market\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Statistical bulletin on youth labour market position, cited with URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004985:3:2", "occurrence_id": "643a0baa8f9d182259b2b393", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  greatest impacts of droughts and seasonal\nwater shortages expected in the northwest, southwest, north regions and RMC, and the greatest impacts of floods in the\nnorthwest and RMC <sup>13</sup> . The proposed Project intends to manage those climate change risks by increasing the state capacity\nto address water security <sup>14</sup> risks statewide and reducing those risks in selected areas.\n\n5. **The fast-growing agribusiness sector and continued urbanization in Parana have brought significant socio-**\n**economic benefits over the past decades. However, these advancements, coupled with climate change, have**\n\n\n6 Brazilian Institute of Geography and Statistics (IBGE), 2025. Data from the last trimester of 2024. National average was 6.2 percent. The number of\nunemployed in Parana was 206,000 people.\n7 IBGE, 2024. Continuous National Household Sample Survey - _Pesquisa Nacional por Amostra de Domicílios Contínua_ (PNAD).\n8 IBGE,2024. Poverty rate @664 Rs @ 2023 value. Elaborated by Instituto Jones do Santos Neves from PNAD, IBGE, 2023.\n9 IBGE, 2022. Indice de desenvolvimento Humano.\n10 IBGE, 2024. PNAD.\n11 IBGE, 2024. 3.3 per cent, last trimester of 2024.\n12 State Water Resources Plan, 2010.\n13 Climate analysis and determination of the vulnerability of municipalities in Paraná in the face of climate change; State Climate Action Plan 20242050.\n14 Water security risks in this project are defined by droughts, water shortages, floods, runoff-caused erosion.\n\n\nPage 3\n\n\nOfficial Use Only\n\nMention: \"Data from the last trimester of 2024\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Unemployment counts for the state against a national average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004985:3:2", "occurrence_id": "95dd613f74456334afd62736", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  greatest impacts of droughts and seasonal\nwater shortages expected in the northwest, southwest, north regions and RMC, and the greatest impacts of floods in the\nnorthwest and RMC <sup>13</sup> . The proposed Project intends to manage those climate change risks by increasing the state capacity\nto address water security <sup>14</sup> risks statewide and reducing those risks in selected areas.\n\n5. **The fast-growing agribusiness sector and continued urbanization in Parana have brought significant socio-**\n**economic benefits over the past decades. However, these advancements, coupled with climate change, have**\n\n\n6 Brazilian Institute of Geography and Statistics (IBGE), 2025. Data from the last trimester of 2024. National average was 6.2 percent. The number of\nunemployed in Parana was 206,000 people.\n7 IBGE, 2024. Continuous National Household Sample Survey - _Pesquisa Nacional por Amostra de Domicílios Contínua_ (PNAD).\n8 IBGE,2024. Poverty rate @664 Rs @ 2023 value. Elaborated by Instituto Jones do Santos Neves from PNAD, IBGE, 2023.\n9 IBGE, 2022. Indice de desenvolvimento Humano.\n10 IBGE, 2024. PNAD.\n11 IBGE, 2024. 3.3 per cent, last trimester of 2024.\n12 State Water Resources Plan, 2010.\n13 Climate analysis and determination of the vulnerability of municipalities in Paraná in the face of climate change; State Climate Action Plan 20242050.\n14 Water security risks in this project are defined by droughts, water shortages, floods, runoff-caused erosion.\n\n\nPage 3\n\n\nOfficial Use Only\n\nMention: \"Continuous National Household Sample Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Continuous household survey underlying labour and poverty estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004985:3:2", "occurrence_id": "1cdfef9f6f7f05c4780d7301", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  greatest impacts of droughts and seasonal\nwater shortages expected in the northwest, southwest, north regions and RMC, and the greatest impacts of floods in the\nnorthwest and RMC <sup>13</sup> . The proposed Project intends to manage those climate change risks by increasing the state capacity\nto address water security <sup>14</sup> risks statewide and reducing those risks in selected areas.\n\n5. **The fast-growing agribusiness sector and continued urbanization in Parana have brought significant socio-**\n**economic benefits over the past decades. However, these advancements, coupled with climate change, have**\n\n\n6 Brazilian Institute of Geography and Statistics (IBGE), 2025. Data from the last trimester of 2024. National average was 6.2 percent. The number of\nunemployed in Parana was 206,000 people.\n7 IBGE, 2024. Continuous National Household Sample Survey - _Pesquisa Nacional por Amostra de Domicílios Contínua_ (PNAD).\n8 IBGE,2024. Poverty rate @664 Rs @ 2023 value. Elaborated by Instituto Jones do Santos Neves from PNAD, IBGE, 2023.\n9 IBGE, 2022. Indice de desenvolvimento Humano.\n10 IBGE, 2024. PNAD.\n11 IBGE, 2024. 3.3 per cent, last trimester of 2024.\n12 State Water Resources Plan, 2010.\n13 Climate analysis and determination of the vulnerability of municipalities in Paraná in the face of climate change; State Climate Action Plan 20242050.\n14 Water security risks in this project are defined by droughts, water shortages, floods, runoff-caused erosion.\n\n\nPage 3\n\n\nOfficial Use Only\n\nMention: \"Indice de desenvolvimento Humano\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Human development index used for municipal wellbeing comparison.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:42:1", "occurrence_id": "01342052973cbbdafba7d5fa", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Results are disaggregated by<br>general, mainstream vocational and special education.|\n|Frequency|Semi-annually|\n|Data source|Project Progress Reports|\n|Methodology for Data<br>Collection|Data collected through project progress reports, including equipment delivery and installation records. The sample<br>consists of all learning environments supported by the project.|\n|Responsibility for Data<br>Collection|PIU|\n|**Increase in students in mainstream vocational schools targeted by the project who demonstrate competency in using industry-standard**<br>**technologies in prioritized study field (Percentage) **|**Increase in students in mainstream vocational schools targeted by the project who demonstrate competency in using industry-standard**<br>**technologies in prioritized study field (Percentage) **|\n|Description|This indicator measures the percentage of mainstream vocational education students enrolled in targeted fields who<br>demonstrate competency in the use of industry-standard tools and technology. Improved competencies refer to positive<br>changes in the percentage of students achieving a proficiency level determined by the MoNE. This is a cross-cohort<br>comparison indicator, capturing outcomes for each cohort in the selected grade throughout the duration of the project.<br>Results are disaggregated by gender.|\n|Frequency|Biannually, starting in Year 2. The first assessment (baseline) will be carried out in April 2027, with the assessment carried<br>out again in 2028 and 2030.|\n|Data source|Standardized assessments and practical hands-on assessments by field of study.|\n|Methodology for Data<br>Collection|Standardized national learning assessment (ABIDE-Vocational). A new assessment tool is being developed to measure<br>industry-relevant competencies, targeting Automotive, ICT, electronics, agriculture and foods processing for students in<br>Grade\n\nMention: \"Project Progress Reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Indicator values come from progress reports including equipment delivery records.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:42:1", "occurrence_id": "0062f63ab5c9321cdc48f301", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  Results are disaggregated by<br>general, mainstream vocational and special education.|\n|Frequency|Semi-annually|\n|Data source|Project Progress Reports|\n|Methodology for Data<br>Collection|Data collected through project progress reports, including equipment delivery and installation records. The sample<br>consists of all learning environments supported by the project.|\n|Responsibility for Data<br>Collection|PIU|\n|**Increase in students in mainstream vocational schools targeted by the project who demonstrate competency in using industry-standard**<br>**technologies in prioritized study field (Percentage) **|**Increase in students in mainstream vocational schools targeted by the project who demonstrate competency in using industry-standard**<br>**technologies in prioritized study field (Percentage) **|\n|Description|This indicator measures the percentage of mainstream vocational education students enrolled in targeted fields who<br>demonstrate competency in the use of industry-standard tools and technology. Improved competencies refer to positive<br>changes in the percentage of students achieving a proficiency level determined by the MoNE. This is a cross-cohort<br>comparison indicator, capturing outcomes for each cohort in the selected grade throughout the duration of the project.<br>Results are disaggregated by gender.|\n|Frequency|Biannually, starting in Year 2. The first assessment (baseline) will be carried out in April 2027, with the assessment carried<br>out again in 2028 and 2030.|\n|Data source|Standardized assessments and practical hands-on assessments by field of study.|\n|Methodology for Data<br>Collection|Standardized national learning assessment (ABIDE-Vocational). A new assessment tool is being developed to measure<br>industry-relevant competencies, targeting Automotive, ICT, electronics, agriculture and foods processing for students in<br>Grade\n\nMention: \"project progress reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Collection covers all learning environments the project supports.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:44:0", "occurrence_id": "ec55a5677707f012120b2d59", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye: Education for Job Market Readiness (P510381) PROJECT APPRAISAL DOCUMENT\n\n\n\n\n\n\n\n|Collection|Col2|\n|---|---|\n|**Students/graduates of special education vocational schools who find employment (Percentage) **|**Students/graduates of special education vocational schools who find employment (Percentage) **|\n|Description|This indicator measures the percentage increase in the students/graduates from special education vocational schools<br>who find employment during project duration.|\n|Frequency|Annually, beginning in year 3.|\n|Data source|Administrative records and e-Graduate tracking systems will be used, alternatively phone-based tracer studies will be<br>developed and administered by the PIU.|\n|Methodology for Data<br>Collection|Employment outcome data will be sourced from existing MoNE’s administrative system that will integrate data from e-<br>Graduate tracking system, ISKUR and Social Security Information system and other data sources. Tracer studies of<br>graduates will also be conducted. The sample will consist of a statistically representative group of graduates. The<br>indicator includes only formal employment and considers both part-time and full-time, permanent and temporary<br>positions.|\n|Responsibility for Data<br>Collection|MoNE and PIU|\n|**Job market skills gap (Percentage) **|**Job market skills gap (Percentage) **|\n|Description|This indicator captures the alignment between employer expectations and graduate skills across at least four key<br>competency dimensions: basic digital literacy (e.g., email, Microsoft Office, workplace software), industry-specific<br>technological tools (e.g., simulators, robotics, AR/VR), soft\n\nMention: \"Employment outcome data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Outcomes integrated from ministry records, graduate tracking, employment agency and social security.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:44:1", "occurrence_id": "82a35f432f634b78f1d65b75", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  key<br>competency dimensions: basic digital literacy (e.g., email, Microsoft Office, workplace software), industry-specific<br>technological tools (e.g., simulators, robotics, AR/VR), soft skills (e.g., communication, teamwork), and workplace<br>readiness in operating specialized machinery. For each dimension, employers reflect on their expectations and observed<br>skills levels of recent hires. The methodology for data collection and analysis will be informed by well-tested and<br>validated tools to measure skills such as the Skills Toward Employment and Productivity survey. A survey of employers<br>will be conducted annually.|\n|Frequency|Annually, baseline will be set during year 2|\n|Data source|Employer surveys|\n|Methodology for Data<br>Collection|The Job Market Skill Gap Indicator is measured on a 0–100 scale, where higher scores represent stronger alignment<br>between employer expectations and graduate skills. Progress is expressed as a percentage-point improvement over the<br>baseline. The methodology will be developed in Year 1, and the baseline will be established in Year 2 through the annual<br>employer survey. Targets are defined as a 2 percent improvement in Year 3 and a 6 percent improvement in Year 5,<br>relative to the baseline score.|\n|Responsibility for Data<br>Collection|MoNE and PIU|\n|**Increase in female students pursuing ICT-related career path after vocational education (Percentage) **|**Increase in female students pursuing ICT-related career path after vocational education (Percentage) **|\n|Description|This indicator tracks the post-graduation outcomes of female vocation education graduates in ICT fields, measuring their<br>transition into higher education or employment. ICT-related occupations will be identified based on Türkiye’s official<\n\nMention: \"Skills Toward Employment and Productivity survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Validated instrument informing the employer skills gap survey methodology.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005033:3:1", "occurrence_id": "1251db9ae979b297c37a8da4", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: , improving institutional efficiency,\nand addressing trust deficits with local communities. Without these reforms, Peru risks falling behind competitors in\nattracting the investment needed to transform geological wealth into sustainable growth\n\n7. High-quality geoscientific information is a critical foundation for competitiveness. Instituto Geológico, Minero\ny Metalúrgico (INGEMMET) has advanced in digitizing and disseminating geological, geochemical, and geophysical data,\nbut important gaps remain in scale, coverage, and timeliness—especially in frontier areas. Compared to leading mining\nnations, Peru lags in airborne geophysics and thematic mapping that de-risk early exploration and enable land-use,\nwater, and climate planning. Closing these gaps would not only attract junior explorers, who drive most global\ndiscoveries, but also strengthen territorial governance by integrating mineral data into infrastructure, environmental,\nand resilience planning.\n\n\n8. At the same time, modernizing and digitalizing permitting is essential to restore investor confidence. Current\nprocesses are fragmented, unpredictable, and burdensome, with inefficiencies across environmental licensing, water\nrights, and consultation procedures. The International Monetary Fund (IMF) has warned that these delays constrain\nPeru’s growth prospects and stall critical mineral projects. While some reforms have been introduced, deeper\nintegration and digital solutions are needed to reduce approval times, lower transaction costs, and create a predictable\ninvestment climate. Strengthening environmental, social, and governance (ESG) alignment, particularly on cumulative\nimpacts, carbon reporting, gender inclusion, and indigenous rights, will also be vital to secure responsible markets and\nunlock access to green finance.\n\n\n9. Finally, the future of mining legitimacy in Peru hinges on two pillars: stronger territorial presence and inclusive\nparticipation. Social conflicts remain widespread, driven by weak state presence and unfulfilled commitments. Tracking\nsessional and transparent approach to community engagement, participatory monitoring, and digital tracking of\n\n\nPage 3\n\n\nOfficial Use Only\n\nMention: \"mineral data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"curate\", \"summary\": \"Integrating mineral data into land-use, water and climate planning de-risks exploration.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005044:39:2", "occurrence_id": "a3683e7bd9bc6e744e0d11a3", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: in MWh) by all renewable energy generation<br>assets enabled by the Project. The indicator reflects the aggregate annual electricity output from power<br>generation facilities that become operational as a direct result of Project interventions, including financing.<br>|\n|Frequency <br>|Annual<br>|\n|Data source|NAFIN<br>|\n|Methodology for Data<br>Collection <br>|Disaggregated information on annual electricity generation from renewable energy installations enabled by<br>the Project will be reported by BEs and PFIs based on metered generation data or verified generation<br>estimates. First-tier BEs will submit generation data directly to NAFIN, while PFIs will collect and transmit the<br>data from second-tier BEs. NAFIN will consolidate, verify, and monitor annual renewable energy generation<br>enabled by the Project and report aggregated results.|\n|Responsibility for Data<br>Collection <br>|NAFIN<br>|\n|**Total energy savings enabled (Megawatt hour (MWh))  **|**Total energy savings enabled (Megawatt hour (MWh))  **|\n\n\n\nPage 28\n\nMention: \"metered generation data\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Intermediaries report generation from meters or verified estimates to the national fund.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005044:28:0", "occurrence_id": "d6d5e78a9f1386a3dfcf225e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBuilding Sustainable Value Chains Project (P510818) PROJECT APPRAISAL DOCUMENT\n\n\nassessments. The Project will further increase such capacities and enhance such tools, including through\npreparatory work supported by the GFPP grant.\n\n45. **Citizen engagement.** The operation will involve citizens through consultation activities with various stakeholders\n(industry associations, anchor companies, PFIs), both at preparation and implementation stage. This upstream and\ncontinuous communication will give them a chance to voice their expectations, concerns and preferences, and their views\nwill be captured in the Project’s Stakeholder Engagement Plan (SEP). The SEP will also describe the Project’s Grievance\nRedress Mechanism, which will aim to facilitate communication among citizens, mid-caps, SMEs, PFIs, workers, and NAFIN\nthroughout implementation, ensuring feedback is considered from all groups, including disadvantaged and vulnerable\npopulations, and specifically, women-owned/led firms.\n\n46. **Gender.** Data shows that women-owned/led firms in Mexico have systematically lower access to formal financing\nthan male-led firms. Latest national survey on access to finance (ENAFIN 2024) shows that only 42.3 percent of womenowned firms have had any credit/financing since starting operations (vs. 47.4 percent for men-owned firms). The Project\nwill seek to address this long-standing gender gap in access to finance by channeling a portion of project financing to\nwomen-inclusive beneficiary enterprises (firms with certain share of female owners and/or senior managers and/or\nemploying higher share of women than the sector average) as measured by a specific result indicator. Project will also\nhave the dedicated results indicator to assess the gender impact in terms of women jobs created/retained by BEs. Where\nfeasible, the Project will leverage the Mexico Sustainable Taxonomy’s Gender Equality Index (IIG) as a reference to\nstrengthen in the identification and\n\nMention: \"national survey on access to finance\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"A smaller share of women-owned firms have obtained credit than men-owned firms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005044:28:0", "occurrence_id": "799dbad18cb3f8c538b87ede", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nBuilding Sustainable Value Chains Project (P510818) PROJECT APPRAISAL DOCUMENT\n\n\nassessments. The Project will further increase such capacities and enhance such tools, including through\npreparatory work supported by the GFPP grant.\n\n45. **Citizen engagement.** The operation will involve citizens through consultation activities with various stakeholders\n(industry associations, anchor companies, PFIs), both at preparation and implementation stage. This upstream and\ncontinuous communication will give them a chance to voice their expectations, concerns and preferences, and their views\nwill be captured in the Project’s Stakeholder Engagement Plan (SEP). The SEP will also describe the Project’s Grievance\nRedress Mechanism, which will aim to facilitate communication among citizens, mid-caps, SMEs, PFIs, workers, and NAFIN\nthroughout implementation, ensuring feedback is considered from all groups, including disadvantaged and vulnerable\npopulations, and specifically, women-owned/led firms.\n\n46. **Gender.** Data shows that women-owned/led firms in Mexico have systematically lower access to formal financing\nthan male-led firms. Latest national survey on access to finance (ENAFIN 2024) shows that only 42.3 percent of womenowned firms have had any credit/financing since starting operations (vs. 47.4 percent for men-owned firms). The Project\nwill seek to address this long-standing gender gap in access to finance by channeling a portion of project financing to\nwomen-inclusive beneficiary enterprises (firms with certain share of female owners and/or senior managers and/or\nemploying higher share of women than the sector average) as measured by a specific result indicator. Project will also\nhave the dedicated results indicator to assess the gender impact in terms of women jobs created/retained by BEs. Where\nfeasible, the Project will leverage the Mexico Sustainable Taxonomy’s Gender Equality Index (IIG) as a reference to\nstrengthen in the identification and\n\nMention: \"ENAFIN 2024\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"The named national access-to-finance round behind the gender gap.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005074:14:1", "occurrence_id": "1c67ac04ff1d0c8cf733dbae", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  builds on the WBG long-standing support to Morocco across RE generation, grid**\n**modernization and technical assistance.** IBRD engagement included: (i) financing flagship solar initiatives such as the\nNoor Solar Program (P131256) and the Clean and Efficient Energy Project (CEEP, P143689), which together account for\nabout 74 percent of Morocco’s installed solar capacity today; (ii) financing Morocco’s first concentrated solar power (CSP)\nfacility—the Ain Beni Mathar hybrid plant—which marked a milestone in the country’s RE strategy; (iii) reinforcing the\nnational transmission network through the ONEE Support Project (P104265), which financed major upgrades to\nstrengthen grid reliability and enable RE integration; and (iv) providing a wide range of technical assistance to ONEE to\nsupport modernization and performance improvements, including the unbundling of accounting between generation,\ntransmission, and distribution activities for both water and electricity, as well as targeted support to the Ministry of\nEnergy Transition and Sustainable Development (MTEDD) and the Moroccan Agency for Sustainable Energy (MASEN) in\nterms of RE integration and green hydrogen. In parallel to the Project, the World Bank has approved in April 2026 a Green\nGrowth Development Policy Financing (DPF) to support Morocco’s jobs and green growth agenda including regulatory\nactions aimed at unlocking private sector investment in decentralized RE and operationalizing the implementation of\nLaws 13-09, 40-19 and 82-21. IFC’s program in Morocco complements IBRD engagement by supporting the scale-up of\nIPP RE projects, green hydrogen development, and private capital mobilization for transmission investments. IFC’s\nengagement is informed by the Morocco Country Private Sector Diagnostic (CPSD), which identified energy sector\nreforms and grid readiness as critical enablers for private investment in decentralized solar energy generation. MIGA is\nhelping investors and lenders in Morocco de-risk\n\nMention: \"Morocco Country Private Sector Diagnostic\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Diagnostic identifying grid readiness and reforms as private investment enablers.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:43:0", "occurrence_id": "8f4c1916f8606e0342004d96", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye: Education for Job Market Readiness (P510381) PROJECT APPRAISAL DOCUMENT\n\n|Frequency|Semi-annually|\n|---|---|\n|Data source|Platform records|\n|Methodology for Data<br>Collection|Data collected through the platform (including assessment results, interactions and use of resources). Usage is tracked<br>through user protocols that capture login frequency, time spent, and engagement in personalized learning paths.|\n|Responsibility for Data<br>Collection|DGIET and PIU|\n|**New digital e-content modules developed for general, vocational and special education (Number) **|**New digital e-content modules developed for general, vocational and special education (Number) **|\n|Description|The indicator measures the number of new or upgraded e-content modules developed under the project to support<br>teaching and learning across general education, vocational education, and special education supported under Sub-<br>component 1.2.|\n|Frequency|Semi-annually|\n|Data source|Project progress reports, including digital content registry|\n|Methodology for Data<br>Collection|Data collected through project progress reports, including the number and type of digital content developed.|\n|Responsibility for Data<br>Collection|DGIET and PIU|\n|**Students in mainstream and special education vocational schools benefitting from upgraded vocational workshops or model vocational**<br>**workshops equipped with energy-efficient digital technologies (Number) **|**Students in mainstream and special education vocational schools benefitting from upgraded vocational workshops or model vocational**<br>**workshops equipped with energy-efficient digital technologies (Number) **|\n|Description|This indicator measures the number of students in mainstream and special vocational schools benefiting from upgraded<\n\nMention: \"Platform records\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Usage logged through protocols capturing login frequency, time and engagement.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:43:0", "occurrence_id": "ea43d5aabf1f8ba885120aea", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye: Education for Job Market Readiness (P510381) PROJECT APPRAISAL DOCUMENT\n\n|Frequency|Semi-annually|\n|---|---|\n|Data source|Platform records|\n|Methodology for Data<br>Collection|Data collected through the platform (including assessment results, interactions and use of resources). Usage is tracked<br>through user protocols that capture login frequency, time spent, and engagement in personalized learning paths.|\n|Responsibility for Data<br>Collection|DGIET and PIU|\n|**New digital e-content modules developed for general, vocational and special education (Number) **|**New digital e-content modules developed for general, vocational and special education (Number) **|\n|Description|The indicator measures the number of new or upgraded e-content modules developed under the project to support<br>teaching and learning across general education, vocational education, and special education supported under Sub-<br>component 1.2.|\n|Frequency|Semi-annually|\n|Data source|Project progress reports, including digital content registry|\n|Methodology for Data<br>Collection|Data collected through project progress reports, including the number and type of digital content developed.|\n|Responsibility for Data<br>Collection|DGIET and PIU|\n|**Students in mainstream and special education vocational schools benefitting from upgraded vocational workshops or model vocational**<br>**workshops equipped with energy-efficient digital technologies (Number) **|**Students in mainstream and special education vocational schools benefitting from upgraded vocational workshops or model vocational**<br>**workshops equipped with energy-efficient digital technologies (Number) **|\n|Description|This indicator measures the number of students in mainstream and special vocational schools benefiting from upgraded<\n\nMention: \"digital content registry\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Registry of the number and type of digital content developed.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:004999:43:0", "occurrence_id": "61afa51a85f24ccc0164caa7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTürkiye: Education for Job Market Readiness (P510381) PROJECT APPRAISAL DOCUMENT\n\n|Frequency|Semi-annually|\n|---|---|\n|Data source|Platform records|\n|Methodology for Data<br>Collection|Data collected through the platform (including assessment results, interactions and use of resources). Usage is tracked<br>through user protocols that capture login frequency, time spent, and engagement in personalized learning paths.|\n|Responsibility for Data<br>Collection|DGIET and PIU|\n|**New digital e-content modules developed for general, vocational and special education (Number) **|**New digital e-content modules developed for general, vocational and special education (Number) **|\n|Description|The indicator measures the number of new or upgraded e-content modules developed under the project to support<br>teaching and learning across general education, vocational education, and special education supported under Sub-<br>component 1.2.|\n|Frequency|Semi-annually|\n|Data source|Project progress reports, including digital content registry|\n|Methodology for Data<br>Collection|Data collected through project progress reports, including the number and type of digital content developed.|\n|Responsibility for Data<br>Collection|DGIET and PIU|\n|**Students in mainstream and special education vocational schools benefitting from upgraded vocational workshops or model vocational**<br>**workshops equipped with energy-efficient digital technologies (Number) **|**Students in mainstream and special education vocational schools benefitting from upgraded vocational workshops or model vocational**<br>**workshops equipped with energy-efficient digital technologies (Number) **|\n|Description|This indicator measures the number of students in mainstream and special vocational schools benefiting from upgraded<\n\nMention: \"project progress reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Progress reports supply the content counts alongside the registry.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005070:2:0", "occurrence_id": "b4c21ebf229ee1ae3238dfc5", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Women's Economic Empowerment Project(P511398) Project Information Document (PID)\n\n\ndecades, it has made significant progress in reducing poverty. The percentage of people living below the poverty line in\nTajikistan has gone down from 55 percent in 2010 to just over 20 percent in 2023 (Tajikistan Poverty and Equity Brief:\nApril 2025). However, the economy continues to lag its neighbors on key economic indicators, including employment.\nUnemployment and informal employment are prevalent, particularly amongst women and youth, with social\nconservatism and patriarchal norms contributing to gender inequalities in the labor market. UNDP Human Development\nIndicators (2023) suggest that women’s labor force participation lags behind men by over 18 percent.\n**2. Safety nets for women in Tajikistan are few, with the number of women not in education, employment and training**\n**(NEET) vastly exceeding that of men.** 69 percent of women in the country are not in paid employment, and there is a\nconsiderable skills gap between men and women in the labor market. NEET rates for women (49 percent) are 9 times\nhigher than men (7 percent) (Tajikistan Country Gender Assessment, 2021). While poverty rates have fallen, women\nmake up a significant percentage of workers in vulnerable and informal employment (particularly subsistence\nagriculture), meaning they have limited access to social safety nets (cash, in-kind, asset transfers) and protection,\nlimiting their economic security. Regressive gender norms frequently push women into lower-paying sectors than men:\n41 percent of Word Bank survey respondents stated women should earn less than men to sustain family peace; 88\npercent felt that women should spend less time working than men to dedicate more time to household chores (World\nBank Listening-to-Tajikistan survey, 2023).\n**3. Few registered business entities are owned by women and women-led businesses find it more difficult to\n\nMention: \"Tajikistan Country Gender Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Most women not in paid employment; female NEET far above male.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005070:2:0", "occurrence_id": "1be2ccc9c2a78cac7d797397", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Women's Economic Empowerment Project(P511398) Project Information Document (PID)\n\n\ndecades, it has made significant progress in reducing poverty. The percentage of people living below the poverty line in\nTajikistan has gone down from 55 percent in 2010 to just over 20 percent in 2023 (Tajikistan Poverty and Equity Brief:\nApril 2025). However, the economy continues to lag its neighbors on key economic indicators, including employment.\nUnemployment and informal employment are prevalent, particularly amongst women and youth, with social\nconservatism and patriarchal norms contributing to gender inequalities in the labor market. UNDP Human Development\nIndicators (2023) suggest that women’s labor force participation lags behind men by over 18 percent.\n**2. Safety nets for women in Tajikistan are few, with the number of women not in education, employment and training**\n**(NEET) vastly exceeding that of men.** 69 percent of women in the country are not in paid employment, and there is a\nconsiderable skills gap between men and women in the labor market. NEET rates for women (49 percent) are 9 times\nhigher than men (7 percent) (Tajikistan Country Gender Assessment, 2021). While poverty rates have fallen, women\nmake up a significant percentage of workers in vulnerable and informal employment (particularly subsistence\nagriculture), meaning they have limited access to social safety nets (cash, in-kind, asset transfers) and protection,\nlimiting their economic security. Regressive gender norms frequently push women into lower-paying sectors than men:\n41 percent of Word Bank survey respondents stated women should earn less than men to sustain family peace; 88\npercent felt that women should spend less time working than men to dedicate more time to household chores (World\nBank Listening-to-Tajikistan survey, 2023).\n**3. Few registered business entities are owned by women and women-led businesses find it more difficult to\n\nMention: \"Word Bank survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Large shares endorse women earning less and working less.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005070:2:0", "occurrence_id": "111610c6bb94be6eaa37db8c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTajikistan Women's Economic Empowerment Project(P511398) Project Information Document (PID)\n\n\ndecades, it has made significant progress in reducing poverty. The percentage of people living below the poverty line in\nTajikistan has gone down from 55 percent in 2010 to just over 20 percent in 2023 (Tajikistan Poverty and Equity Brief:\nApril 2025). However, the economy continues to lag its neighbors on key economic indicators, including employment.\nUnemployment and informal employment are prevalent, particularly amongst women and youth, with social\nconservatism and patriarchal norms contributing to gender inequalities in the labor market. UNDP Human Development\nIndicators (2023) suggest that women’s labor force participation lags behind men by over 18 percent.\n**2. Safety nets for women in Tajikistan are few, with the number of women not in education, employment and training**\n**(NEET) vastly exceeding that of men.** 69 percent of women in the country are not in paid employment, and there is a\nconsiderable skills gap between men and women in the labor market. NEET rates for women (49 percent) are 9 times\nhigher than men (7 percent) (Tajikistan Country Gender Assessment, 2021). While poverty rates have fallen, women\nmake up a significant percentage of workers in vulnerable and informal employment (particularly subsistence\nagriculture), meaning they have limited access to social safety nets (cash, in-kind, asset transfers) and protection,\nlimiting their economic security. Regressive gender norms frequently push women into lower-paying sectors than men:\n41 percent of Word Bank survey respondents stated women should earn less than men to sustain family peace; 88\npercent felt that women should spend less time working than men to dedicate more time to household chores (World\nBank Listening-to-Tajikistan survey, 2023).\n**3. Few registered business entities are owned by women and women-led businesses find it more difficult to\n\nMention: \"World\nBank Listening-to-Tajikistan survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Listening survey capturing regressive gender norms.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005037:29:1", "occurrence_id": "a9b010dd3175a8c8c3c2236d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  outline requirements to\naddress mitigation and adaptation-related risks from a Paris Alignment perspective.\n\n53. **The project is anticipated to deliver substantial climate adaptation co-benefits.** Its core objective is to reduce the\neffects of both present and future flooding in target areas which is worsening due to climate change, while equipping\ngovernment agencies and beneficiaries with improved preparedness measures to respond to flood-related disasters.\nAll flood protection infrastructure will be designed considering the impacts of climate change on flooding patterns in\nthe target urban areas. By enhancing the hydrometeorological observation network’s functionality and improving\nearly warning dissemination, the project will bolster readiness for flood emergencies, which are becoming more\nsevere due to climate change. Additionally, maintaining comprehensive disaster risk insurance coverage and\nstrengthening disaster risk financing mechanisms will empower the government to respond swiftly and effectively to\nfloods caused by extreme weather events and other disasters.\n\n54. **Economic Analysis** . For Component 1, economic viability was evaluated based on the avoided damage to roads and\nbuildings in the locations targeted for flood protection infrastructure relative to the investment costs. The project’s\nimpact areas in Muang Xay, Luang Prabang, and Paksan were delineated using Fathom Global flood maps (Shared\nSocioeconomic Pathway (SSP)2 “middle-of-the-road” scenario) based on proposed investments. Modeled 5-, 10-, 20, and 50-year flood depths in these areas range from about 0.75 m to as high as 3.0 m. Given the inherent uncertainty\nin flood modeling data, these results were cross-checked against other sources, including recently completed flood\nhazard and risk modeling for Paksan and Aqueduct flood maps, to enhance confidence in the estimates. These impact\nareas were overlaid with (i) Global Human Settlement (GHSL) Built-Surface to estimate buildings per m² and (ii) Open\nStreet Map (OSM) roads to estimate transport per km, and standard depth–\n\nMention: \"Fathom Global flood maps\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Flood maps under a middle-of-the-road scenario delineate the impact areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005037:29:1", "occurrence_id": "e8b82bcd16b7bb13e6fa74d0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  outline requirements to\naddress mitigation and adaptation-related risks from a Paris Alignment perspective.\n\n53. **The project is anticipated to deliver substantial climate adaptation co-benefits.** Its core objective is to reduce the\neffects of both present and future flooding in target areas which is worsening due to climate change, while equipping\ngovernment agencies and beneficiaries with improved preparedness measures to respond to flood-related disasters.\nAll flood protection infrastructure will be designed considering the impacts of climate change on flooding patterns in\nthe target urban areas. By enhancing the hydrometeorological observation network’s functionality and improving\nearly warning dissemination, the project will bolster readiness for flood emergencies, which are becoming more\nsevere due to climate change. Additionally, maintaining comprehensive disaster risk insurance coverage and\nstrengthening disaster risk financing mechanisms will empower the government to respond swiftly and effectively to\nfloods caused by extreme weather events and other disasters.\n\n54. **Economic Analysis** . For Component 1, economic viability was evaluated based on the avoided damage to roads and\nbuildings in the locations targeted for flood protection infrastructure relative to the investment costs. The project’s\nimpact areas in Muang Xay, Luang Prabang, and Paksan were delineated using Fathom Global flood maps (Shared\nSocioeconomic Pathway (SSP)2 “middle-of-the-road” scenario) based on proposed investments. Modeled 5-, 10-, 20, and 50-year flood depths in these areas range from about 0.75 m to as high as 3.0 m. Given the inherent uncertainty\nin flood modeling data, these results were cross-checked against other sources, including recently completed flood\nhazard and risk modeling for Paksan and Aqueduct flood maps, to enhance confidence in the estimates. These impact\nareas were overlaid with (i) Global Human Settlement (GHSL) Built-Surface to estimate buildings per m² and (ii) Open\nStreet Map (OSM) roads to estimate transport per km, and standard depth–\n\nMention: \"flood modeling data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Modelled depths cross-checked against other hazard sources given uncertainty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005037:29:1", "occurrence_id": "3e033f2e4362e91e0a10e49d", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  outline requirements to\naddress mitigation and adaptation-related risks from a Paris Alignment perspective.\n\n53. **The project is anticipated to deliver substantial climate adaptation co-benefits.** Its core objective is to reduce the\neffects of both present and future flooding in target areas which is worsening due to climate change, while equipping\ngovernment agencies and beneficiaries with improved preparedness measures to respond to flood-related disasters.\nAll flood protection infrastructure will be designed considering the impacts of climate change on flooding patterns in\nthe target urban areas. By enhancing the hydrometeorological observation network’s functionality and improving\nearly warning dissemination, the project will bolster readiness for flood emergencies, which are becoming more\nsevere due to climate change. Additionally, maintaining comprehensive disaster risk insurance coverage and\nstrengthening disaster risk financing mechanisms will empower the government to respond swiftly and effectively to\nfloods caused by extreme weather events and other disasters.\n\n54. **Economic Analysis** . For Component 1, economic viability was evaluated based on the avoided damage to roads and\nbuildings in the locations targeted for flood protection infrastructure relative to the investment costs. The project’s\nimpact areas in Muang Xay, Luang Prabang, and Paksan were delineated using Fathom Global flood maps (Shared\nSocioeconomic Pathway (SSP)2 “middle-of-the-road” scenario) based on proposed investments. Modeled 5-, 10-, 20, and 50-year flood depths in these areas range from about 0.75 m to as high as 3.0 m. Given the inherent uncertainty\nin flood modeling data, these results were cross-checked against other sources, including recently completed flood\nhazard and risk modeling for Paksan and Aqueduct flood maps, to enhance confidence in the estimates. These impact\nareas were overlaid with (i) Global Human Settlement (GHSL) Built-Surface to estimate buildings per m² and (ii) Open\nStreet Map (OSM) roads to estimate transport per km, and standard depth–\n\nMention: \"Global Human Settlement\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Built-surface layer estimates buildings per square metre in impact areas.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005037:29:1", "occurrence_id": "fa659e037bbcf989ebdf9b42", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  outline requirements to\naddress mitigation and adaptation-related risks from a Paris Alignment perspective.\n\n53. **The project is anticipated to deliver substantial climate adaptation co-benefits.** Its core objective is to reduce the\neffects of both present and future flooding in target areas which is worsening due to climate change, while equipping\ngovernment agencies and beneficiaries with improved preparedness measures to respond to flood-related disasters.\nAll flood protection infrastructure will be designed considering the impacts of climate change on flooding patterns in\nthe target urban areas. By enhancing the hydrometeorological observation network’s functionality and improving\nearly warning dissemination, the project will bolster readiness for flood emergencies, which are becoming more\nsevere due to climate change. Additionally, maintaining comprehensive disaster risk insurance coverage and\nstrengthening disaster risk financing mechanisms will empower the government to respond swiftly and effectively to\nfloods caused by extreme weather events and other disasters.\n\n54. **Economic Analysis** . For Component 1, economic viability was evaluated based on the avoided damage to roads and\nbuildings in the locations targeted for flood protection infrastructure relative to the investment costs. The project’s\nimpact areas in Muang Xay, Luang Prabang, and Paksan were delineated using Fathom Global flood maps (Shared\nSocioeconomic Pathway (SSP)2 “middle-of-the-road” scenario) based on proposed investments. Modeled 5-, 10-, 20, and 50-year flood depths in these areas range from about 0.75 m to as high as 3.0 m. Given the inherent uncertainty\nin flood modeling data, these results were cross-checked against other sources, including recently completed flood\nhazard and risk modeling for Paksan and Aqueduct flood maps, to enhance confidence in the estimates. These impact\nareas were overlaid with (i) Global Human Settlement (GHSL) Built-Surface to estimate buildings per m² and (ii) Open\nStreet Map (OSM) roads to estimate transport per km, and standard depth–\n\nMention: \"Open\nStreet Map\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Crowdsourced road layer estimates exposed transport length.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005125:2:1", "occurrence_id": "54ed73fa7a61f6ef1e48f9c8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  than Armenia's\nand Azerbaijan',s which both equal 45. Georgia faces critical development challenges, including low-quality education\nand skills provision, as well as insufficient primary care service quality and inefficient healthcare spending.\n3. **Georgia is also exposed to multiple shocks, underscoring the importance of enhancing the preparedness and**\n**resilience of existing systems** . It faces several risks, including geopolitical swings, migration and displacement,\ndownturns in global financial markets, pandemics, climate events, and natural disasters. Strengthening risk\nmanagement, as well as disaster preparedness would be critical.\n\n[1] World Development Indicators 2025; draft Country Partnership Framework 2019-2023\n\n\n**Sectoral and Institutional Context**\n\n4 **. Georgia has improved its public health response capabilities, although assessments indicate that it needs to**\n**address capacity gaps to better manage epidemic and pandemic risks.** The country has (a) a good legislative framework\nfor emergency preparedness, communicable disease control, surveillance and response; (b) developed international\ncoordination mechanisms based on International Health Regulations; (c) intersectoral communication mechanisms\nbetween the human and animal sectors at the national level; (d) an established list of high-priority diseases; and (e) a\nnational, potentially inter-operable Electronic Disease Surveillance System capable of reporting new cases in the human\nand animal health sectors. In addition, the Ministry of Internally Displaced Persons from the Occupied Territories,\nLabor, Health, and Social Affairs' (MoILHSA) National Center for Disease Control (NCDC) laboratory network and\nMinistry of Environmental Protection and Agriculture’s (MEPA) State Laboratory of Agriculture (SLA) have quality\nassurance systems. A national system is also in place for sample referral and confirmatory diagnostics. As a result,\nGeorgia ranks relatively high on coping capacity according to several internationally recognized epidemic indices,\nincluding the State Party Self-Assessment (SPAR) with an average score\n\nMention: \"World Development Indicators 2025\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Human development comparisons against neighbouring countries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005057:3:2", "occurrence_id": "0e5ee6955e4aece1311b2214", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  In 2005, about 5 percent of total spending could not be allocated to\na specific spending unit (e.g., ministry, organization, or province). That value increased to nearly 30 percent in 2020,\nlargely due to the absence of reporting for several large ministries and organizations.\n\n\n7. **Fiscal pressures are compounded by challenges in public financial management (PFM).** The draft 2024 Public\nExpenditure and Financial Accountability Assessment (PEFA) for Laos shows that there has been little improvement\ncompared to the 2018 assessment. Laos scores low on all key aspects of PFM, including transparency of public\nfinances, management of assets and liabilities, policy-based fiscal strategy and budgeting, predictability and control\n\n\n4 Debt service deferrals (of principal and interest owed to a single bilateral creditor) have provided important temporary relief between\n2020–2023. These deferrals had accumulated to about 16 percent of GDP in 2023.\n5 Climate Change Knowledge Portal, The World Bank Group\n6 UNHABITAT. 2021. Lao PDR National Climate Change Vulnerability Assessment\n7 Recovery and Resilience in Lao PDR, The World Bank Group, Feature Story, April 9, 2019.\nhttps://www.worldbank.org/en/news/feature/2019/04/09/recovery-and-resilience-in-lao-pdr\n8 World Bank. 2023. Public Finance review. _Forging Ahead: Restoring Stability and Boosting Prosperity (English)._ Washington, D.C.:\nWorld Bank Group.\n\n\nPage 3\n\nMention: \"2024 Public\nExpenditure and Financial Accountability Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Draft assessment shows little improvement since 2018 across PFM pillars.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005057:3:2", "occurrence_id": "f33596df009ded79c1543a28", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  In 2005, about 5 percent of total spending could not be allocated to\na specific spending unit (e.g., ministry, organization, or province). That value increased to nearly 30 percent in 2020,\nlargely due to the absence of reporting for several large ministries and organizations.\n\n\n7. **Fiscal pressures are compounded by challenges in public financial management (PFM).** The draft 2024 Public\nExpenditure and Financial Accountability Assessment (PEFA) for Laos shows that there has been little improvement\ncompared to the 2018 assessment. Laos scores low on all key aspects of PFM, including transparency of public\nfinances, management of assets and liabilities, policy-based fiscal strategy and budgeting, predictability and control\n\n\n4 Debt service deferrals (of principal and interest owed to a single bilateral creditor) have provided important temporary relief between\n2020–2023. These deferrals had accumulated to about 16 percent of GDP in 2023.\n5 Climate Change Knowledge Portal, The World Bank Group\n6 UNHABITAT. 2021. Lao PDR National Climate Change Vulnerability Assessment\n7 Recovery and Resilience in Lao PDR, The World Bank Group, Feature Story, April 9, 2019.\nhttps://www.worldbank.org/en/news/feature/2019/04/09/recovery-and-resilience-in-lao-pdr\n8 World Bank. 2023. Public Finance review. _Forging Ahead: Restoring Stability and Boosting Prosperity (English)._ Washington, D.C.:\nWorld Bank Group.\n\n\nPage 3\n\nMention: \"Lao PDR National Climate Change Vulnerability Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"National vulnerability assessment cited for climate exposure.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005125:2:2", "occurrence_id": "c91e8e656c2e9c9e8f35f4e6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nassurance systems. A national system is also in place for sample referral and confirmatory diagnostics. As a result,\nGeorgia ranks relatively high on coping capacity according to several internationally recognized epidemic indices,\nincluding the State Party Self-Assessment (SPAR) with an average score of 72 percent in 2023, the Global Health Security\nIndex (52.6, ranking 40th from 195 countries) in 2021; the Joint External Evaluation (JEE) with an average score of 57\npercent in 2019; and a medium epidemic risk (risk index equal to 5.9) for respiratory diseases according to the World\nHealth Organization’s (WHO) Dynamic Preparedness Metrics. Overall, Georgia has made significant progress in public\nhealth and response capabilities. However, Georgia remains exposed and vulnerable to epidemic and pandemic risks.\nIts vulnerability to disease threats is due to several factors, including its status as a transit hub, and its proximity to\ncountries with ongoing wars, conflicts, and humanitarian crises. Georgia needs to take steps to address its current\npandemic risks and close remaining capacity gaps in pandemic preparedness and response that have been exposed by\nthe COVID-19 pandemic and recent external evaluations.\n5. **Aiming to close the above capacity gaps in pandemic preparedness and response, the Government of Georgia**\n**submitted a grant proposal to the Pandemic Fund and successfully secured funding.** The WHO and World Bank (WB)\nare the implementing entities of the USD 6.5 million Grant that will support Georgia to have a well functioning early\n\n\nPage 2\n\nMention: \"State Party Self-Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Average coping capacity score of 72 percent.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005125:2:2", "occurrence_id": "1313cc62aafd0a2c8e880365", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \nassurance systems. A national system is also in place for sample referral and confirmatory diagnostics. As a result,\nGeorgia ranks relatively high on coping capacity according to several internationally recognized epidemic indices,\nincluding the State Party Self-Assessment (SPAR) with an average score of 72 percent in 2023, the Global Health Security\nIndex (52.6, ranking 40th from 195 countries) in 2021; the Joint External Evaluation (JEE) with an average score of 57\npercent in 2019; and a medium epidemic risk (risk index equal to 5.9) for respiratory diseases according to the World\nHealth Organization’s (WHO) Dynamic Preparedness Metrics. Overall, Georgia has made significant progress in public\nhealth and response capabilities. However, Georgia remains exposed and vulnerable to epidemic and pandemic risks.\nIts vulnerability to disease threats is due to several factors, including its status as a transit hub, and its proximity to\ncountries with ongoing wars, conflicts, and humanitarian crises. Georgia needs to take steps to address its current\npandemic risks and close remaining capacity gaps in pandemic preparedness and response that have been exposed by\nthe COVID-19 pandemic and recent external evaluations.\n5. **Aiming to close the above capacity gaps in pandemic preparedness and response, the Government of Georgia**\n**submitted a grant proposal to the Pandemic Fund and successfully secured funding.** The WHO and World Bank (WB)\nare the implementing entities of the USD 6.5 million Grant that will support Georgia to have a well functioning early\n\n\nPage 2\n\nMention: \"Joint External Evaluation\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Average score of 57 percent in the external evaluation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005169:10:0", "occurrence_id": "1d26f587c71d7e50c2e4d781", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSocial Safety Net Enhancement and System Building Project (P512384) PROJECT APPRAISAL DOCUMENT\n\n\n\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Project Strategic Context**\n\n1. **Lebanon's fragile rebound from its economic and financial crisis** <sup>1</sup> **was reversed by the outbreak of the conflict in the**\n**Middle East that affected Lebanon, which exacerbated preexisting economic and social challenges.** According to the\n2024 Lebanon Poverty and Equity Assessment, Lebanon’s monetary poverty rate tripled from 11 percent to 33 percent\nbetween 2012 and 2022, with poverty becoming deeper and more severe. An additional 32 percent of Lebanese are\nvulnerable <sup>2</sup> [^2: Vulnerability is defined as having more than a 10 percent probability of being poor in the coming year.] to falling into poverty, as the country’s middle-class contracts. By late 2023, the economy slipped back into\nrecession as the conflict intensified, following a short-lived recovery driven largely by tourism and remittances. Sustained\ngrowth, development, and job creation now hinge on a comprehensive crisis-resolution strategy that restores macrofinancial stability and lays the foundation for a renewed economic development model that prioritizes human capital,\npromotes private sector growth and expands inclusive economic opportunities. <sup>3</sup> [^3: Fall 2023 Lebanon Economic Monitor: In the Grip of a New Crisis.]\n\n2. **The World Bank’s Lebanon Rapid Damage and Needs Assessment (March 2025) estimated total physical damages**\n**at US$6.8 billion and economic losses at US$7.2 billion across key sectors as a result of the conflict in the Middle East**\n**that affected Lebanon** . The housing sector suffered the greatest damage and critical infrastructure sustained extensive\n\n\n1 Driven by economic challenges stemming from fiscal and monetary pressures, limited access to foreign currency, vulnerabilities within\n\nMention: \"2024 Lebanon Poverty and Equity Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Monetary poverty tripled between 2012 and 2022.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005169:10:0", "occurrence_id": "5c4ace1e51b6625ba4aa58f8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSocial Safety Net Enhancement and System Building Project (P512384) PROJECT APPRAISAL DOCUMENT\n\n\n\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Project Strategic Context**\n\n1. **Lebanon's fragile rebound from its economic and financial crisis** <sup>1</sup> **was reversed by the outbreak of the conflict in the**\n**Middle East that affected Lebanon, which exacerbated preexisting economic and social challenges.** According to the\n2024 Lebanon Poverty and Equity Assessment, Lebanon’s monetary poverty rate tripled from 11 percent to 33 percent\nbetween 2012 and 2022, with poverty becoming deeper and more severe. An additional 32 percent of Lebanese are\nvulnerable <sup>2</sup> [^2: Vulnerability is defined as having more than a 10 percent probability of being poor in the coming year.] to falling into poverty, as the country’s middle-class contracts. By late 2023, the economy slipped back into\nrecession as the conflict intensified, following a short-lived recovery driven largely by tourism and remittances. Sustained\ngrowth, development, and job creation now hinge on a comprehensive crisis-resolution strategy that restores macrofinancial stability and lays the foundation for a renewed economic development model that prioritizes human capital,\npromotes private sector growth and expands inclusive economic opportunities. <sup>3</sup> [^3: Fall 2023 Lebanon Economic Monitor: In the Grip of a New Crisis.]\n\n2. **The World Bank’s Lebanon Rapid Damage and Needs Assessment (March 2025) estimated total physical damages**\n**at US$6.8 billion and economic losses at US$7.2 billion across key sectors as a result of the conflict in the Middle East**\n**that affected Lebanon** . The housing sector suffered the greatest damage and critical infrastructure sustained extensive\n\n\n1 Driven by economic challenges stemming from fiscal and monetary pressures, limited access to foreign currency, vulnerabilities within\n\nMention: \"Fall 2023 Lebanon Economic Monitor\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Monitor describing the country in the grip of a new crisis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005169:10:0", "occurrence_id": "382c5db9b8a5d2d460e4bf81", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nSocial Safety Net Enhancement and System Building Project (P512384) PROJECT APPRAISAL DOCUMENT\n\n\n\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Project Strategic Context**\n\n1. **Lebanon's fragile rebound from its economic and financial crisis** <sup>1</sup> **was reversed by the outbreak of the conflict in the**\n**Middle East that affected Lebanon, which exacerbated preexisting economic and social challenges.** According to the\n2024 Lebanon Poverty and Equity Assessment, Lebanon’s monetary poverty rate tripled from 11 percent to 33 percent\nbetween 2012 and 2022, with poverty becoming deeper and more severe. An additional 32 percent of Lebanese are\nvulnerable <sup>2</sup> [^2: Vulnerability is defined as having more than a 10 percent probability of being poor in the coming year.] to falling into poverty, as the country’s middle-class contracts. By late 2023, the economy slipped back into\nrecession as the conflict intensified, following a short-lived recovery driven largely by tourism and remittances. Sustained\ngrowth, development, and job creation now hinge on a comprehensive crisis-resolution strategy that restores macrofinancial stability and lays the foundation for a renewed economic development model that prioritizes human capital,\npromotes private sector growth and expands inclusive economic opportunities. <sup>3</sup> [^3: Fall 2023 Lebanon Economic Monitor: In the Grip of a New Crisis.]\n\n2. **The World Bank’s Lebanon Rapid Damage and Needs Assessment (March 2025) estimated total physical damages**\n**at US$6.8 billion and economic losses at US$7.2 billion across key sectors as a result of the conflict in the Middle East**\n**that affected Lebanon** . The housing sector suffered the greatest damage and critical infrastructure sustained extensive\n\n\n1 Driven by economic challenges stemming from fiscal and monetary pressures, limited access to foreign currency, vulnerabilities within\n\nMention: \"Lebanon Rapid Damage and Needs Assessment\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Estimated physical damages and economic losses across key sectors.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005208:23:0", "occurrence_id": "93e8a0c260e97f120584493c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Appendix 19\n\n\ndisability, and social inclusion; km = kilometer; MOI = Ministry of Infrastructure; O&M = operation and maintenance;\nPMU = project management unit; R = risk; SCADA = supervisory control and data acquisition; STEM = science,\ntechnology, engineering, and mathematics; TA = technical assistance.\na Government of Tonga. 2015. _<u>[Tonga Strategic Development Framework, 2015–2025.](https://finance.gov.to/sites/default/files/2020-09/Tonga%20Strategic%20Development%20Framework%202015-2025.pdf)</u>_\nb Current estimates for 2032 indicate a population of 30,302 in Greater Nuku'alofa. Current estimates are based on\n\nthe Tonga 2021 Census Report and have been extrapolated to 2032 using the compound annual growth rate\n[calculated from the 2016–2021 trend. Government of Tonga. 2022. Tonga 2021 Census of Population and Housing](https://spccfpstore1.blob.core.windows.net/digitallibrary-docs/files/b9/b91102ef5d2e9b2cb2b5c499772c5a19.pdf?sv=2015-12-11&sr=b&sig=NpL47JUWJRY03lFWFBzPB6pTd6yjpl5%2BgelWGAKzg2U%3D&se=2025-11-09T06%3A13%3A58Z&sp=r&rscc=public%2C%20max-age%3D864000%2C%20max-stale%3D86400&rsct=application%2Fpdf&rscd=inline%3B%20filename%3D%22\n\nMention: \"Tonga 2021 Census Report\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Census base for extrapolating the urban area population.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005208:23:0", "occurrence_id": "cfd4c3d64f0a51d6d4a7a8ba", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Appendix 19\n\n\ndisability, and social inclusion; km = kilometer; MOI = Ministry of Infrastructure; O&M = operation and maintenance;\nPMU = project management unit; R = risk; SCADA = supervisory control and data acquisition; STEM = science,\ntechnology, engineering, and mathematics; TA = technical assistance.\na Government of Tonga. 2015. _<u>[Tonga Strategic Development Framework, 2015–2025.](https://finance.gov.to/sites/default/files/2020-09/Tonga%20Strategic%20Development%20Framework%202015-2025.pdf)</u>_\nb Current estimates for 2032 indicate a population of 30,302 in Greater Nuku'alofa. Current estimates are based on\n\nthe Tonga 2021 Census Report and have been extrapolated to 2032 using the compound annual growth rate\n[calculated from the 2016–2021 trend. Government of Tonga. 2022. Tonga 2021 Census of Population and Housing](https://spccfpstore1.blob.core.windows.net/digitallibrary-docs/files/b9/b91102ef5d2e9b2cb2b5c499772c5a19.pdf?sv=2015-12-11&sr=b&sig=NpL47JUWJRY03lFWFBzPB6pTd6yjpl5%2BgelWGAKzg2U%3D&se=2025-11-09T06%3A13%3A58Z&sp=r&rscc=public%2C%20max-age%3D864000%2C%20max-stale%3D86400&rsct=application%2Fpdf&rscd=inline%3B%20filename%3D%22\n\nMention: \"Tonga 2021 Census of Population and Housing\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Full census citation with link behind the growth extrapolation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005321:14:9", "occurrence_id": "d92e07b7bb9d3a6d466b80ba", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: لجراء التوعية وتقديم خدمات متك مجال الصحة المجتمعية، ومتطوع</sup> ي في ذلك العاملي\n\nزين المسبق لإلمدادات ي ذلك التخلستجابة لها، بما ف **ا** وع أنشطة التأهب للكولت ا والوقاية منها وللسكان الذين يصعب الوصول إليهم. سيدعم المش <sup>ر</sup>\n\n\n\n\n<sup>ر</sup>\n\n<sup>التغذية الصحية المجتمعية، والقابالت المجتمعيات، إلجراء التوعية وتقديم خدمات متك مجال الصحة المجتمعية، ومتطوع</sup> ي ي\n\n**ا** <sup>ر</sup>\n\n\n\nي ي\n\nزين المسبق لإلمدادات ي ذلك التخلستجابة لها، بما ف **ا** وع أنشطة التأهب للكولت ا والوقاية منها وللسكان الذين يصعب الوصول إليهم. سيدعم المش <sup>ر</sup>\n\n\n\nيتم تعديل التقديرات .) :المصدرUN OCHA ( وHPC وUNHCR وCCCM تم تعديله وفقا لمجموعات بياناتDTM ، .لمعدالت التقزمWorldPop\n\nMention: \"بياناتDTM\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Displacement tracking data used to adjust population estimates.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005321:41:5", "occurrence_id": "8043f793f047484f6c357696", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: نك من خلل<br> ذلك شبكة الرعاية الصحية الولية المجتمعية وزيارات المرافق الصحية. مرض السهال<br>جميع المنصات، بما ف<br> حساس للمناخ بسبب تأثت ات المناخ عل المياه والصف الص . اليمن<br>ج ف <br>**الحساب **: مجموع الطفال دون سن الخامسة المصابي بالسهال الذين تلقوا الماهة الفموية والزنك من خلل أي<br> .منصة أو خدمة توعية مدعومة بالمش وع خلل الفت ة المشمولة بالتقرير|\n|التكرار|كل6<br> أشهر|\n|مصدر البيانات|DHIS2<br> -<br> بيانات التدبت المتكامل لصحة الطفل|\n|منهجية جمع البيانات|<br>**اليونيسيف ** مرافق الرعاية الصحية الولية ومن خلل شبكة الرعاية الصحية<br>: جمع البيانات من مقدم الخدمات ف<br> .الولية المجتمعية<br>**خط الساس** <br>: عدد الطفال دون سن الخامسة المصابي بالسهال الذين\n\nMention: \"DHIS2\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Health information system plus child health data supply the treatment indicator.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005169:11:2", "occurrence_id": "0cab40a5b89f52d96bd9cbe8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sup>8</sup> These\noutcomes of the recent shocks compound structural economic weaknesses that hinder access to quality and sustainable\nemployment opportunities, including low levels and relevance of skills; lack of access to labor market intermediation;\nparticular obstacles for women due to traditional gender roles, limited access to childcare, and legal constraints; and\nconcentration of self-employment in low-productivity sectors.\n\n\n4 World Bank. Lebanon Poverty and Equity Assessment 2024: Weathering a Protracted Crisis. Staff calculations from the Lebanon Household Survey\n2022-2023.\n5 Lebanon LHS 2022/2023.\n6 Central Administration of Statistics (CAS) 2018/2019 Labour Force and Household Living Conditions Survey (LFHLCS) and 2022 follow up survey.\n7 Underemployment refers to workers whose situation is suboptimal in terms of hours, skills, or earnings. It can be measured as: (i) hours: working\nless than a threshold number of hours (40 hours per week), willing to work additional hours, and availability to work additional hours; (ii) skills:\nworking in jobs that do not match their qualifications or skills (e.g., a university graduate working in a low-skill job); (iii) earnings: workers earning\nless than a minimum wage, even if working full-time.\n8 World Bank Lebanon Interim Damage and Loss Assessment.\n\n\nPage 7\n\nMention: \"Lebanon LHS\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Household survey round behind labour market and poverty analysis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005169:11:2", "occurrence_id": "38ad66d74e7d290fa09e79c0", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sup>8</sup> These\noutcomes of the recent shocks compound structural economic weaknesses that hinder access to quality and sustainable\nemployment opportunities, including low levels and relevance of skills; lack of access to labor market intermediation;\nparticular obstacles for women due to traditional gender roles, limited access to childcare, and legal constraints; and\nconcentration of self-employment in low-productivity sectors.\n\n\n4 World Bank. Lebanon Poverty and Equity Assessment 2024: Weathering a Protracted Crisis. Staff calculations from the Lebanon Household Survey\n2022-2023.\n5 Lebanon LHS 2022/2023.\n6 Central Administration of Statistics (CAS) 2018/2019 Labour Force and Household Living Conditions Survey (LFHLCS) and 2022 follow up survey.\n7 Underemployment refers to workers whose situation is suboptimal in terms of hours, skills, or earnings. It can be measured as: (i) hours: working\nless than a threshold number of hours (40 hours per week), willing to work additional hours, and availability to work additional hours; (ii) skills:\nworking in jobs that do not match their qualifications or skills (e.g., a university graduate working in a low-skill job); (iii) earnings: workers earning\nless than a minimum wage, even if working full-time.\n8 World Bank Lebanon Interim Damage and Loss Assessment.\n\n\nPage 7\n\nMention: \"Labour Force and Household Living Conditions Survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Baseline labour and living conditions survey with a later follow-up.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005169:11:2", "occurrence_id": "43440ef3081cab4b931fc104", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: sup>8</sup> These\noutcomes of the recent shocks compound structural economic weaknesses that hinder access to quality and sustainable\nemployment opportunities, including low levels and relevance of skills; lack of access to labor market intermediation;\nparticular obstacles for women due to traditional gender roles, limited access to childcare, and legal constraints; and\nconcentration of self-employment in low-productivity sectors.\n\n\n4 World Bank. Lebanon Poverty and Equity Assessment 2024: Weathering a Protracted Crisis. Staff calculations from the Lebanon Household Survey\n2022-2023.\n5 Lebanon LHS 2022/2023.\n6 Central Administration of Statistics (CAS) 2018/2019 Labour Force and Household Living Conditions Survey (LFHLCS) and 2022 follow up survey.\n7 Underemployment refers to workers whose situation is suboptimal in terms of hours, skills, or earnings. It can be measured as: (i) hours: working\nless than a threshold number of hours (40 hours per week), willing to work additional hours, and availability to work additional hours; (ii) skills:\nworking in jobs that do not match their qualifications or skills (e.g., a university graduate working in a low-skill job); (iii) earnings: workers earning\nless than a minimum wage, even if working full-time.\n8 World Bank Lebanon Interim Damage and Loss Assessment.\n\n\nPage 7\n\nMention: \"2022 follow up survey\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Follow-up round updating the labour baseline during the crisis.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005127:3:1", "occurrence_id": "d9ee9e079714e994c0324a7c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  the population are estimated to have made or received a digital\npayment (2024). On digital government, Nepal ranked 119th out of 193 countries on the UN e-Government Development\nIndex (EGDI) in 2024, an improvement of 4 positions from 2022 <sup>6</sup> [^6: https://publicadministration.un.org/egovkb/en-us/Data/Country-Information/id/120-Nepal] . A key component of the EGDI is the Online Service Index\n(OSI) where Nepal scores at 0.45, below the regional and global averages.\n\n\n**In September 2025, Nepal experienced political upheaval with a Gen Z led protest** . This protest was triggered by the\nGovernment’s decision to ban 26 social media services on September 9, 2025. The protests were not only about\nrestrictions on social media but also about deep frustrations with unequal access to services, corruption, and weak\naccountability. They underscored the urgent need for government to restore trust by delivering inclusive, transparent,\nand equitable services. Certain government services such as driving license are no longer being delivered as the servers\nand digital infrastructure were damaged. The Prime Minister and other key Ministers also resigned. An interim\ngovernment has been established and a Prime Minister appointed. Elections are expected to take place by March 2026.\n\n\nSectoral and Institutional Context\n\n**The Government of Nepal (GoN) needs to rebuild public trust by demonstrating transparency and inclusive public**\n**service delivery** . The aftermath of the protests has exposed the fragility of the country’s trust in government, exacerbated\nby weak data infrastructure and poor digital platforms. As such, it is essential that they invest in digital public infrastructure\n(DPI) and citizen facing service portals to reinforce social contracts with citizens by developing inclusive, user centric\nsystems with good governance and strong data protection. Historically, many of these systems, both in Nepal and other\ncountries, have suffered from poor adoption and low levels of trust. Adoption and trust will require\n\nMention: \"Online Service Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Score below regional and global averages.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005208:32:0", "occurrence_id": "e7ed9a017e2ff4c4a3f333c8", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 4\n\n\n16. **Integrity.** The implementation of the project shall adhere to ADB’s Anticorruption Policy\n(1998) and Investigation and Enforcement Framework (2024), both as amended from time to time.\nADB has the right to investigate, directly or through its agents, any violations of the Anticorruption\nPolicy relating to the project. Under the FMRF, ADB, as lead lender, will apply its integrity\nframework, with the World Bank recognizing and enforcing relevant sanctions in accordance with\nits own policies. Accordingly, firms and individuals on the ADB Debarment and Suspension\nRegister2 and the World Bank Sanctions List are ineligible to participate in any ADB- or World\nBank-related activity and cannot be awarded any contracts under the project. <sup>8</sup> [^8: ADB. <u>[ADB Debarment and Suspension Register; World Bank.](https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsanctions-prd-frontdoor-endpoint-gmcwf5dmdtchemdx.a02.azurefd.net%2F&data=05%7C02%7Cequijano.contractor%40adb.org%7Ce8c698b9755b463dbfea08dd4676653e%7C9495d6bb41c24c58848f92e52cf3d640%7C0%7C0%7C638744196515349665%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=WQYmxWs%2FmeBbxceqYaYwZL0wuo2bHC2CMmVYTYzDH6s%3D&reserved=0)</u> <u>[World Bank Listing of Ineligible Firms and Individuals;](https://www.worldbank.org/en/projects-operations/procurement/debarred-firms)</u>\nADB. <u>[Procurement Regulations for ADB Borrowers; ADB. Office of Anticorruption and Integrity; and footnote 4.](https://www.adb.org/documents/procurement-regulations-adb-borrowers)</u>] The World Bank,\nas the trail lender, may recognize and enforce sanctions, enforcement actions, and/or other\ncorrective or remedial actions imposed by ADB, as the lead lender, in future non-FMRF\noperations, in accordance with the World Bank\n\nMention: \"ADB Debarment and Suspension\nRegister2\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Debarred firms barred from contracts under reciprocal sanctions.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005208:32:0", "occurrence_id": "c2e5324b18d1eeea6bfab47c", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 4\n\n\n16. **Integrity.** The implementation of the project shall adhere to ADB’s Anticorruption Policy\n(1998) and Investigation and Enforcement Framework (2024), both as amended from time to time.\nADB has the right to investigate, directly or through its agents, any violations of the Anticorruption\nPolicy relating to the project. Under the FMRF, ADB, as lead lender, will apply its integrity\nframework, with the World Bank recognizing and enforcing relevant sanctions in accordance with\nits own policies. Accordingly, firms and individuals on the ADB Debarment and Suspension\nRegister2 and the World Bank Sanctions List are ineligible to participate in any ADB- or World\nBank-related activity and cannot be awarded any contracts under the project. <sup>8</sup> [^8: ADB. <u>[ADB Debarment and Suspension Register; World Bank.](https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsanctions-prd-frontdoor-endpoint-gmcwf5dmdtchemdx.a02.azurefd.net%2F&data=05%7C02%7Cequijano.contractor%40adb.org%7Ce8c698b9755b463dbfea08dd4676653e%7C9495d6bb41c24c58848f92e52cf3d640%7C0%7C0%7C638744196515349665%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=WQYmxWs%2FmeBbxceqYaYwZL0wuo2bHC2CMmVYTYzDH6s%3D&reserved=0)</u> <u>[World Bank Listing of Ineligible Firms and Individuals;](https://www.worldbank.org/en/projects-operations/procurement/debarred-firms)</u>\nADB. <u>[Procurement Regulations for ADB Borrowers; ADB. Office of Anticorruption and Integrity; and footnote 4.](https://www.adb.org/documents/procurement-regulations-adb-borrowers)</u>] The World Bank,\nas the trail lender, may recognize and enforce sanctions, enforcement actions, and/or other\ncorrective or remedial actions imposed by ADB, as the lead lender, in future non-FMRF\noperations, in accordance with the World Bank\n\nMention: \"World Bank Sanctions List\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Bank sanctions list applied alongside the lender's register.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005208:32:0", "occurrence_id": "6b8623965d030cce268ef839", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 4\n\n\n16. **Integrity.** The implementation of the project shall adhere to ADB’s Anticorruption Policy\n(1998) and Investigation and Enforcement Framework (2024), both as amended from time to time.\nADB has the right to investigate, directly or through its agents, any violations of the Anticorruption\nPolicy relating to the project. Under the FMRF, ADB, as lead lender, will apply its integrity\nframework, with the World Bank recognizing and enforcing relevant sanctions in accordance with\nits own policies. Accordingly, firms and individuals on the ADB Debarment and Suspension\nRegister2 and the World Bank Sanctions List are ineligible to participate in any ADB- or World\nBank-related activity and cannot be awarded any contracts under the project. <sup>8</sup> [^8: ADB. <u>[ADB Debarment and Suspension Register; World Bank.](https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsanctions-prd-frontdoor-endpoint-gmcwf5dmdtchemdx.a02.azurefd.net%2F&data=05%7C02%7Cequijano.contractor%40adb.org%7Ce8c698b9755b463dbfea08dd4676653e%7C9495d6bb41c24c58848f92e52cf3d640%7C0%7C0%7C638744196515349665%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=WQYmxWs%2FmeBbxceqYaYwZL0wuo2bHC2CMmVYTYzDH6s%3D&reserved=0)</u> <u>[World Bank Listing of Ineligible Firms and Individuals;](https://www.worldbank.org/en/projects-operations/procurement/debarred-firms)</u>\nADB. <u>[Procurement Regulations for ADB Borrowers; ADB. Office of Anticorruption and Integrity; and footnote 4.](https://www.adb.org/documents/procurement-regulations-adb-borrowers)</u>] The World Bank,\nas the trail lender, may recognize and enforce sanctions, enforcement actions, and/or other\ncorrective or remedial actions imposed by ADB, as the lead lender, in future non-FMRF\noperations, in accordance with the World Bank\n\nMention: \"ADB Debarment and Suspension Register\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Register cited with link in the footnote.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005229:21:0", "occurrence_id": "98b0a43b2a1cb08d1f74a33f", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nFinancial Sector Strengthening and Modernization (P513308)\n\n\nreduce already low climate risks, and advance adaptation and Paris-alignment objectives. Detailed operational\nguidelines will ensure compliance and effectiveness.\n\n**49.** **By enhancing access to finance, the project is expected to strengthen the climate resilience of MSMEs and**\n**individuals over time, contributing meaningfully to both mitigation and adaptation outcomes in line with the**\n**Paris Agreement.** None of the supported FIs will commit to new financing to universally non-aligned activities.\nWith this the material residual risk is expected to be reduced to a low/acceptable level given the due diligence\nincorporated to manage adaptation risks\n\n**50.** **The Palestinian microfinance sector's direct contribution to carbon emissions is negligible by any measure, as**\n**the CCDR confirms, the West Bank and Gaza’s total GHG footprint is already far below the global average, and**\n**the portfolio composition of MFIs operating in the West Bank and Gaza reinforces this picture clearly.** With a\ngross loan portfolio of approximately USD 265 million, the sector is heavily concentrated in General Trade (29.3%),\nHousing (30.3%), and Services (11.9%), which together account for over 70% of total loans. While the PMA\nSustainable Finance Roadmap <sup>11</sup> [^11: Sustainability Finance Roadmap and Acton Plan, PMA, 2024 i] identifies housing as a sector warranting climate risk attention due to exposure\nto flooding and landslides, lending in this category at microfinance ticket sizes is more likely to support incremental\nhousing improvements and basic infrastructure upgrades for vulnerable households than carbon-intensive largescale construction, making it a channel for climate resilience rather than a source of transition risk. Agriculture, at\n10.5% of the portfolio, is the sector with the highest physical climate exposure, but it is also where MFI lending\nmost directly\n\nMention: \"CCDR\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Confirms emissions footprint far below the global average.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005208:9:0", "occurrence_id": "60fb353ded9831d81990bc91", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 5\n\n\nwharf and airport upgrades and the proposed port–airport corridor to strengthen connectivity. <sup>19</sup> [^19: Government of Tonga. 2023. _<u>[Tonga National Infrastructure Investment Plan 2021–2030.](https://pmo.gov.to/wp-content/uploads/2023/05/PRIF_TongaNIIP2021-30_V6_final.pdf#:%7E:text=The%20Tonga%20National%20Infrastructure%20Investment%20Plan%2C%202021%E2%80%932030%20%28NIIP3%29,NIIP3%20included%20government%20priorities%20covering%20all%20infrastructure%20areas.)</u>_] It\nalso emphasizes resilient urban development, efficient electricity supply, and integrated planning\nacross the water, drainage, and spatial planning sectors. While these frameworks set clear\npriorities, gaps remain in the road, urban, and water sectors (paras. 7–11).\n\n15. The government is committed to sustainable development that strengthens climate\nadaptation, urban resilience, and service delivery. With ADB’s support, the government approved\nthe Climate and Disaster Resilient Urban Development Strategy and Investment Plan for Greater\nNuku'alofa in 2025, integrating findings from the 2021 MHDRA. <sup>20</sup> [^20: United Nations Framework Convention on Climate Change. Mapping Exposure to Sea Level Rise: Tonga, Samoa,\n<u>[Vanuatu and Papua New Guinea; and ADB. The Climate and Disaster Resilient Urban Development Strategy and](https://unfccc.int/climate-action/momentum-for-change/ict-solutions/mapping-exposure-to-sea-level-rise?utm_source=chatgpt.com)</u>\n<u>Investment Plan. Unpublished.</u>] The plan identifies high-risk\nurban areas and prioritizes investments, including the proposed Fanga'uta Lagoon bridge, to\nenable urban and economic expansion, strengthen evacuation and access during hazard\noccurrence, and reduce congestion. It also suggests the need for improved urban services\nthrough drainage upgrades, water efficiency,\n\nMention: \"2021 MHDRA\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Hazard risk assessment findings integrated into the urban resilience strategy.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005208:9:0", "occurrence_id": "ad3a03aa0d804f261c0efe59", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: 5\n\n\nwharf and airport upgrades and the proposed port–airport corridor to strengthen connectivity. <sup>19</sup> [^19: Government of Tonga. 2023. _<u>[Tonga National Infrastructure Investment Plan 2021–2030.](https://pmo.gov.to/wp-content/uploads/2023/05/PRIF_TongaNIIP2021-30_V6_final.pdf#:%7E:text=The%20Tonga%20National%20Infrastructure%20Investment%20Plan%2C%202021%E2%80%932030%20%28NIIP3%29,NIIP3%20included%20government%20priorities%20covering%20all%20infrastructure%20areas.)</u>_] It\nalso emphasizes resilient urban development, efficient electricity supply, and integrated planning\nacross the water, drainage, and spatial planning sectors. While these frameworks set clear\npriorities, gaps remain in the road, urban, and water sectors (paras. 7–11).\n\n15. The government is committed to sustainable development that strengthens climate\nadaptation, urban resilience, and service delivery. With ADB’s support, the government approved\nthe Climate and Disaster Resilient Urban Development Strategy and Investment Plan for Greater\nNuku'alofa in 2025, integrating findings from the 2021 MHDRA. <sup>20</sup> [^20: United Nations Framework Convention on Climate Change. Mapping Exposure to Sea Level Rise: Tonga, Samoa,\n<u>[Vanuatu and Papua New Guinea; and ADB. The Climate and Disaster Resilient Urban Development Strategy and](https://unfccc.int/climate-action/momentum-for-change/ict-solutions/mapping-exposure-to-sea-level-rise?utm_source=chatgpt.com)</u>\n<u>Investment Plan. Unpublished.</u>] The plan identifies high-risk\nurban areas and prioritizes investments, including the proposed Fanga'uta Lagoon bridge, to\nenable urban and economic expansion, strengthen evacuation and access during hazard\noccurrence, and reduce congestion. It also suggests the need for improved urban services\nthrough drainage upgrades, water efficiency,\n\nMention: \"Mapping Exposure to Sea Level Rise\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Sea level exposure mapping for Pacific island states cited with URL.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:42:2", "occurrence_id": "04d95d93797be81bd4e98698", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|\n|Description|Direct refugees that benefit from improved access to sustainable transport infrastructure and services|\n|Frequency|Annual|\n|Data source|Progress report by implementing entities, traffic surveys, market usage surveys, and labor records|\n|Methodology for Data <br>Collection|Road condition surveys using laser profilers, HDM‑4 analysis to classify segments, GIS mapping of condition classes|\n|Responsibility for Data <br>Collection|MoWT PIU, M&E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|\n\n\nPage 31\n\n\nOfficial Use Only\n\nMention: \"traffic surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Traffic counts plus usage and labour records evidence refugee beneficiaries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:42:2", "occurrence_id": "d7ee3252671330554d3315c9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|\n|Description|Direct refugees that benefit from improved access to sustainable transport infrastructure and services|\n|Frequency|Annual|\n|Data source|Progress report by implementing entities, traffic surveys, market usage surveys, and labor records|\n|Methodology for Data <br>Collection|Road condition surveys using laser profilers, HDM‑4 analysis to classify segments, GIS mapping of condition classes|\n|Responsibility for Data <br>Collection|MoWT PIU, M&E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|\n\n\nPage 31\n\n\nOfficial Use Only\n\nMention: \"market usage surveys\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Market use shows whether improved access translates into economic activity.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:42:2", "occurrence_id": "535c5eebabeee0a6f6ed9e97", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|\n|Description|Direct refugees that benefit from improved access to sustainable transport infrastructure and services|\n|Frequency|Annual|\n|Data source|Progress report by implementing entities, traffic surveys, market usage surveys, and labor records|\n|Methodology for Data <br>Collection|Road condition surveys using laser profilers, HDM‑4 analysis to classify segments, GIS mapping of condition classes|\n|Responsibility for Data <br>Collection|MoWT PIU, M&E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|\n\n\nPage 31\n\n\nOfficial Use Only\n\nMention: \"labor records\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Employment records corroborate jobs enabled by corridor access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:42:2", "occurrence_id": "3f9296d1072cf0795c1828e9", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services – Refugees (Number) **|\n|Description|Direct refugees that benefit from improved access to sustainable transport infrastructure and services|\n|Frequency|Annual|\n|Data source|Progress report by implementing entities, traffic surveys, market usage surveys, and labor records|\n|Methodology for Data <br>Collection|Road condition surveys using laser profilers, HDM‑4 analysis to classify segments, GIS mapping of condition classes|\n|Responsibility for Data <br>Collection|MoWT PIU, M&E Consultant|\n|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|**Direct users that benefit from improved access to sustainable transport infrastructure and services - Host Communities (Number) **|\n\n\nPage 31\n\n\nOfficial Use Only\n\nMention: \"Road condition surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Laser profiler surveys with analytical model classify road segments.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005074:40:2", "occurrence_id": "98d3695efdbf84170b88bb97", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of PAPs who indicate that they are satisfied with project’s consultation processes (relevance, regularity, inclusivity) (percentage)**|\n|Description|This indicator measures the percentage of Project-Affected People (PAPs) who report satisfaction with the Project’s<br>consultation processes, including their relevance, regularity, and inclusiveness.|\n|Frequency|Annually during construction.|\n|Data source|Stakeholder engagement reports; PAP surveys; PIU monitoring reports.|\n|Methodology for<br>Data Collection|Satisfaction levels will be assessed through structured surveys or consultations conducted with PAPs in accordance with the<br>Stakeholder Engagement Plan. The indicator will be calculated as the share of respondents reporting satisfaction with<br>consultation processes.|\n|Responsibility for<br>Data Collection|ONEE|\n|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|\n|Description|This indicator measures the number of direct jobs created annually during the construction and operation of the Ifahsa PHS<br>facility. Direct jobs include personnel employed by the PIU, contractors, and subcontractors for activities directly related to the<br>Project. The target is to generate 820 full-time equivalent jobs during the construction period and 44 people employed full time<br>on the Ifahsa Project during operation.|\n|Frequency|Annually during construction and throughout the Project implementation period, including the initial operational phase (up to<br>Project closing).|\n|Data source|PIU progress reports; contractors’ employment records|\n|Methodology for<br>Data Collection|The PIU will monitor with the different project’s contractors and collect\n\nMention: \"Stakeholder engagement reports\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Engagement reports plus surveys measure affected people's satisfaction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005074:40:2", "occurrence_id": "8756b37a116a1ba811c50841", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of PAPs who indicate that they are satisfied with project’s consultation processes (relevance, regularity, inclusivity) (percentage)**|\n|Description|This indicator measures the percentage of Project-Affected People (PAPs) who report satisfaction with the Project’s<br>consultation processes, including their relevance, regularity, and inclusiveness.|\n|Frequency|Annually during construction.|\n|Data source|Stakeholder engagement reports; PAP surveys; PIU monitoring reports.|\n|Methodology for<br>Data Collection|Satisfaction levels will be assessed through structured surveys or consultations conducted with PAPs in accordance with the<br>Stakeholder Engagement Plan. The indicator will be calculated as the share of respondents reporting satisfaction with<br>consultation processes.|\n|Responsibility for<br>Data Collection|ONEE|\n|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|\n|Description|This indicator measures the number of direct jobs created annually during the construction and operation of the Ifahsa PHS<br>facility. Direct jobs include personnel employed by the PIU, contractors, and subcontractors for activities directly related to the<br>Project. The target is to generate 820 full-time equivalent jobs during the construction period and 44 people employed full time<br>on the Ifahsa Project during operation.|\n|Frequency|Annually during construction and throughout the Project implementation period, including the initial operational phase (up to<br>Project closing).|\n|Data source|PIU progress reports; contractors’ employment records|\n|Methodology for<br>Data Collection|The PIU will monitor with the different project’s contractors and collect\n\nMention: \"PAP surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Structured surveys capture satisfaction with consultation processes.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005074:40:2", "occurrence_id": "c88bbec261b10af379ff3c13", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of PAPs who indicate that they are satisfied with project’s consultation processes (relevance, regularity, inclusivity) (percentage)**|\n|Description|This indicator measures the percentage of Project-Affected People (PAPs) who report satisfaction with the Project’s<br>consultation processes, including their relevance, regularity, and inclusiveness.|\n|Frequency|Annually during construction.|\n|Data source|Stakeholder engagement reports; PAP surveys; PIU monitoring reports.|\n|Methodology for<br>Data Collection|Satisfaction levels will be assessed through structured surveys or consultations conducted with PAPs in accordance with the<br>Stakeholder Engagement Plan. The indicator will be calculated as the share of respondents reporting satisfaction with<br>consultation processes.|\n|Responsibility for<br>Data Collection|ONEE|\n|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|\n|Description|This indicator measures the number of direct jobs created annually during the construction and operation of the Ifahsa PHS<br>facility. Direct jobs include personnel employed by the PIU, contractors, and subcontractors for activities directly related to the<br>Project. The target is to generate 820 full-time equivalent jobs during the construction period and 44 people employed full time<br>on the Ifahsa Project during operation.|\n|Frequency|Annually during construction and throughout the Project implementation period, including the initial operational phase (up to<br>Project closing).|\n|Data source|PIU progress reports; contractors’ employment records|\n|Methodology for<br>Data Collection|The PIU will monitor with the different project’s contractors and collect\n\nMention: \"PIU monitoring reports\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Unit monitoring supplements survey evidence on consultation quality.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005074:40:2", "occurrence_id": "149e651c687ef374c15967d6", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  of PAPs who indicate that they are satisfied with project’s consultation processes (relevance, regularity, inclusivity) (percentage)**|\n|Description|This indicator measures the percentage of Project-Affected People (PAPs) who report satisfaction with the Project’s<br>consultation processes, including their relevance, regularity, and inclusiveness.|\n|Frequency|Annually during construction.|\n|Data source|Stakeholder engagement reports; PAP surveys; PIU monitoring reports.|\n|Methodology for<br>Data Collection|Satisfaction levels will be assessed through structured surveys or consultations conducted with PAPs in accordance with the<br>Stakeholder Engagement Plan. The indicator will be calculated as the share of respondents reporting satisfaction with<br>consultation processes.|\n|Responsibility for<br>Data Collection|ONEE|\n|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|** Number of direct jobs created during construction and operation of the Ifahsa PHS plant per year (Number) **|\n|Description|This indicator measures the number of direct jobs created annually during the construction and operation of the Ifahsa PHS<br>facility. Direct jobs include personnel employed by the PIU, contractors, and subcontractors for activities directly related to the<br>Project. The target is to generate 820 full-time equivalent jobs during the construction period and 44 people employed full time<br>on the Ifahsa Project during operation.|\n|Frequency|Annually during construction and throughout the Project implementation period, including the initial operational phase (up to<br>Project closing).|\n|Data source|PIU progress reports; contractors’ employment records|\n|Methodology for<br>Data Collection|The PIU will monitor with the different project’s contractors and collect\n\nMention: \"PIU progress reports\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Unit and contractor records together count full-time jobs in operation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:43:0", "occurrence_id": "102bc11f04ca0c30cb36ab07", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTHE NORTHEASTERN ROAD-CORRIDOR ASSET MANAGEMENT\nPROJECT 2 - (NERAMP 2) (P514937)\n\n\n\nPROJECT APPRAISAL DOCUMENT\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Description|Direct people within the host communities that benefit from improved access to sustainable transport infrastructure and<br>services|\n|---|---|\n|Frequency|Annual|\n|Data source|Progress report by implementing entities, traffic surveys, market usage surveys, and labor records|\n|Methodology for Data <br>Collection|Road condition surveys using laser profilers, HDM‑4 analysis to classify segments, GIS mapping of condition classes|\n|Responsibility for Data <br>Collection|MoWT PIU, M&E Consultant|\n|**Improved Road Safety**|**Improved Road Safety**|\n|**Reduction in fatal and serious injury crashes along the rehabilitated corridor (percentage)**|**Reduction in fatal and serious injury crashes along the rehabilitated corridor (percentage)**|\n|Description|Percentage of fatal and serious injury crashes along the corridor. Reflects safety improvements from engineering and<br>enforcement.|\n|Frequency|Semiannual|\n|Data source|National crash database, Police crash database, hospital records, community reporting, and project management reports|\n|Methodology for Data <br>Collection|Extraction from the national crash database, triangulation with district health facilities|\n|Responsibility for Data <br>Collection|Uganda Police, MoWT PIU M&E Consultant|\n|**Increased resilience and adaptation to climate change **|**Increased resilience and adaptation to climate change **|\n|**People benefiting from climate-resilient infrastructure (Number of people) **|**People benefiting from climate-resilient infrastructure (Number of people) *\n\nMention: \"Road condition surveys\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Profiler surveys and analytical model classify corridor condition.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:43:0", "occurrence_id": "631bd4d710a9a9092e90a6be", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTHE NORTHEASTERN ROAD-CORRIDOR ASSET MANAGEMENT\nPROJECT 2 - (NERAMP 2) (P514937)\n\n\n\nPROJECT APPRAISAL DOCUMENT\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Description|Direct people within the host communities that benefit from improved access to sustainable transport infrastructure and<br>services|\n|---|---|\n|Frequency|Annual|\n|Data source|Progress report by implementing entities, traffic surveys, market usage surveys, and labor records|\n|Methodology for Data <br>Collection|Road condition surveys using laser profilers, HDM‑4 analysis to classify segments, GIS mapping of condition classes|\n|Responsibility for Data <br>Collection|MoWT PIU, M&E Consultant|\n|**Improved Road Safety**|**Improved Road Safety**|\n|**Reduction in fatal and serious injury crashes along the rehabilitated corridor (percentage)**|**Reduction in fatal and serious injury crashes along the rehabilitated corridor (percentage)**|\n|Description|Percentage of fatal and serious injury crashes along the corridor. Reflects safety improvements from engineering and<br>enforcement.|\n|Frequency|Semiannual|\n|Data source|National crash database, Police crash database, hospital records, community reporting, and project management reports|\n|Methodology for Data <br>Collection|Extraction from the national crash database, triangulation with district health facilities|\n|Responsibility for Data <br>Collection|Uganda Police, MoWT PIU M&E Consultant|\n|**Increased resilience and adaptation to climate change **|**Increased resilience and adaptation to climate change **|\n|**People benefiting from climate-resilient infrastructure (Number of people) **|**People benefiting from climate-resilient infrastructure (Number of people) *\n\nMention: \"National crash database\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"analyze\", \"summary\": \"Crash records extracted and triangulated with district health facilities.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:43:0", "occurrence_id": "ec1dc873090bb8be5256eca2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTHE NORTHEASTERN ROAD-CORRIDOR ASSET MANAGEMENT\nPROJECT 2 - (NERAMP 2) (P514937)\n\n\n\nPROJECT APPRAISAL DOCUMENT\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|Description|Direct people within the host communities that benefit from improved access to sustainable transport infrastructure and<br>services|\n|---|---|\n|Frequency|Annual|\n|Data source|Progress report by implementing entities, traffic surveys, market usage surveys, and labor records|\n|Methodology for Data <br>Collection|Road condition surveys using laser profilers, HDM‑4 analysis to classify segments, GIS mapping of condition classes|\n|Responsibility for Data <br>Collection|MoWT PIU, M&E Consultant|\n|**Improved Road Safety**|**Improved Road Safety**|\n|**Reduction in fatal and serious injury crashes along the rehabilitated corridor (percentage)**|**Reduction in fatal and serious injury crashes along the rehabilitated corridor (percentage)**|\n|Description|Percentage of fatal and serious injury crashes along the corridor. Reflects safety improvements from engineering and<br>enforcement.|\n|Frequency|Semiannual|\n|Data source|National crash database, Police crash database, hospital records, community reporting, and project management reports|\n|Methodology for Data <br>Collection|Extraction from the national crash database, triangulation with district health facilities|\n|Responsibility for Data <br>Collection|Uganda Police, MoWT PIU M&E Consultant|\n|**Increased resilience and adaptation to climate change **|**Increased resilience and adaptation to climate change **|\n|**People benefiting from climate-resilient infrastructure (Number of people) **|**People benefiting from climate-resilient infrastructure (Number of people) *\n\nMention: \"Police crash database\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"validate\", \"summary\": \"Police records cross-checked with hospital and community reporting.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:43:1", "occurrence_id": "cc2033b8c5abc8799cd5ee08", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Increased resilience and adaptation to climate change **|\n|**People benefiting from climate-resilient infrastructure (Number of people) **|**People benefiting from climate-resilient infrastructure (Number of people) **|\n|Description|Population living within 5 km of the upgraded corridor and improved town/access roads who gain year‑round access due to<br>climate‑resilient designs.|\n|Frequency|Annual|\n|Data source|Progress report by the implementing entity, Uganda Bureau of Statistics (UBOS) population data|\n|Methodology for Data <br>Collection|GIS buffer analysis, overlay with census and settlement data|\n|Responsibility for Data <br>Collection|MoWT PIU, GIS Specialist, M&E Consultant|\n|**People benefiting from climate-resilient infrastructure – Female (Number of people)**|**People benefiting from climate-resilient infrastructure – Female (Number of people)**|\n|Description|Female population living within 5 km of the upgraded corridor and improved town/access roads who gain year‑round access<br>due to climate‑resilient designs – females are 50% of the population|\n|Frequency|Annual|\n|Data source|Progress report by the implementing entity, Uganda Bureau of Statistics (UBOS) population data|\n|Methodology for Data <br>Collection|GIS buffer analysis, overlay with census and settlement data|\n|Responsibility for Data <br>Collection|MoWT PIU, GIS Specialist, M&E Consultant|\n|**People benefiting from climate-resilient infrastructure – Youth (Number of people)**|**People benefiting from climate-resilient infrastructure – Youth (Number of people)**|\n|Description|Youth Population living within 5 km of the upgraded\n\nMention: \"population data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Statistics office population data overlaid on GIS buffers to count beneficiaries.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005347:43:1", "occurrence_id": "f4a863cb317a2076e89fe677", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: Increased resilience and adaptation to climate change **|\n|**People benefiting from climate-resilient infrastructure (Number of people) **|**People benefiting from climate-resilient infrastructure (Number of people) **|\n|Description|Population living within 5 km of the upgraded corridor and improved town/access roads who gain year‑round access due to<br>climate‑resilient designs.|\n|Frequency|Annual|\n|Data source|Progress report by the implementing entity, Uganda Bureau of Statistics (UBOS) population data|\n|Methodology for Data <br>Collection|GIS buffer analysis, overlay with census and settlement data|\n|Responsibility for Data <br>Collection|MoWT PIU, GIS Specialist, M&E Consultant|\n|**People benefiting from climate-resilient infrastructure – Female (Number of people)**|**People benefiting from climate-resilient infrastructure – Female (Number of people)**|\n|Description|Female population living within 5 km of the upgraded corridor and improved town/access roads who gain year‑round access<br>due to climate‑resilient designs – females are 50% of the population|\n|Frequency|Annual|\n|Data source|Progress report by the implementing entity, Uganda Bureau of Statistics (UBOS) population data|\n|Methodology for Data <br>Collection|GIS buffer analysis, overlay with census and settlement data|\n|Responsibility for Data <br>Collection|MoWT PIU, GIS Specialist, M&E Consultant|\n|**People benefiting from climate-resilient infrastructure – Youth (Number of people)**|**People benefiting from climate-resilient infrastructure – Youth (Number of people)**|\n|Description|Youth Population living within 5 km of the upgraded\n\nMention: \"census and settlement data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Census and settlement layers overlay buffers to estimate year-round access.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005348:3:0", "occurrence_id": "2fd531c6c8239e5bf4677c3b", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nTHE NORTHEASTERN ROAD-CORRIDOR ASSET MANAGEMENT PROJECT 2- (NERAMP 2) (P514937)\n\n\neconomic losses of up to 4.5 percent of GDP. Transport infrastructure is particularly exposed, as 45 percent of district\nroads and 60 percent of national roads face flood risk, increasing maintenance costs and economic disruption.\nUganda’s commitments under the Paris Agreement, its revised NDC, and the National Climate Change Act underscore\nthe importance of climate   - resilient, low   - carbon transport systems to protect livelihoods and support sustainable job\ncreation.\n\n\n4. **Recent UNHCR Uganda data** <sup>**1**</sup> [^1: <u>[UNHCR Uganda data](https://data.unhcr.org/en/country/uga)</u>] **confirms that the country's refugee and asylum-seeker population has continued to**\n**grow, reaching 1,974,427 as of January 31, 2026** .With displacement now a long-term reality in Uganda, accelerating\nself-reliance is essential to ensuring refugees and host communities can access jobs, services, and sustainable\nlivelihoods. It is clear, the World Bank Group is uniquely positioned to support a new approach to support refugees\nand host communities, adopt responses that can be sustained over time, both financially and socially and shift from\n“meeting needs” to “reducing the needs for aid”.\n\n\nSectoral and Institutional Context\n5. **Overview of Uganda’s Road Transport System:** Uganda’s transport system is predominantly road-based, with roads\naccommodating over 95 percent of both passenger and freight traffic. This reality means that road performance plays\na fundamental role in shaping the country’s economic geography, dictating where firms establish themselves, how\nmarkets are integrated, and the movement of labor. Uganda has significantly expanded its paved road network,\ngrowing from about 1,000 kilometers in 1986 to over 6,850 kilometers by early 2025, with ongoing\n\nMention: \"UNHCR Uganda data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Operational data portal giving the refugee population count.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005352:4:1", "occurrence_id": "c7842cfe6edc6d3c0847c08e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  essential goods\nsuch as unprocessed food and medicine to protect household welfare; however, its effectiveness is conditional on\nenforcement. PA#2 which integrates demand-aligned skills training, labor intermediation, and entrepreneurship support\ninto Ecuador's existing cash transfer architecture, could potentially help reducing labor income gaps which are the primary\ndriver of persistent poverty and inequality in Ecuador.\n\n**Reforms targeting private sector dynamism could generate formal employment opportunities.** Amendments to labor\nregulations (PA#6) are expected to facilitate job formalization in a context where informality remains high at 65.1 percent\nnationally and boost labor incomes which are key for poverty reduction as highlighted in the Poverty Assessment 2025.\nThese measures may be particularly relevant for women with caregiving responsibilities and for young workers, among\nwhom informality is estimated at 74.6 percent. Mining sector reforms (PA#7) simplify exploration permitting and\nintroduce a revised royalty distribution framework intended to channel resources to subnational investments in areas\nsuch as water, health, and education, though the distributional effects across regions may differ. Electricity sector reforms\n(PA#8) could improve energy security and reduce blackouts that cost Ecuador an estimated US$2 billion in 2024,\nstrengthening productivity and living standards for households and small businesses across the country.\n\n\n**The operation also outlines protective measures intended to mitigate potential effects of the reforms.** The distributional\nimpacts of VAT reform (PA#4) are conditional on the specific goods reclassified. The MEF is identifying goods that are not\nconsumed by the lower part of the income distribution to attenuate this effect. Financial sector reforms (PA#10) aim to\nprotect small depositors and cooperative members during institutional failures; however, their reach may be limited,\nparticularly among the bottom 40% of the population, where formal financial account ownership remains at 56.4%.\n\n\nEnvironmental, Forests, and Other Natural Resource Aspects\n\n\nPage 4\n\nMention: \"Poverty Assessment 2025\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Assessment highlights labour incomes as key to poverty reduction.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005375:3:0", "occurrence_id": "88ea20a8dd4718bf70f83d48", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nKyrgyz Republic National Irrigation Investment Program (P515521)\n\n\n12.1 percent in 2024. <sup>1</sup> [^1: World Bank, Macro Poverty Outlook, October 2025] However, its medium-term outlook remains vulnerable due to reliance on commodities and\nremittances. Agriculture remains central to the economy and rural livelihoods, contributing 10 percent to national\nexports, and about 17 percent to employment. <sup>2</sup> [^2: World Bank, 2025, Kyrgyz Republic Agriculture Public Expenditure Review] Yet, productivity remains low due to fragmented landholdings, limited\nirrigation and on-farm technologies, and weak value addition. Further, climate change poses severe and escalating risks\nto the economy and food security, due to intensifying water scarcity, with increasing pressures on critical transboundary\nwater resources. Sustained and greener infrastructure investment, particularly in irrigation—is critical, as weak operation\nand maintenance (O&M), and rural infrastructure gaps undermine efficiency, resilience, and private sector development.\n\n\nSectoral and Institutional Context\n\n\n2. The Kyrgyz Republic is endowed with water resources and bears a critical role in stabilization of water security in\nthe Central Asia Region. With an average per capita water availability of 7,499 m3/year, the country’s endowment is\nmore than double the 3,660 m3/year regional average for Central Asia. One of the two main rivers in the region, Syr\nDarya originates in the Kyrgyz Republic. However, the country’s water availability and consequently the region’s water\nsecurity is threatened by worsening climate change impacts, and increased abstraction due to growing demands across\nthe region. Therefore, enhancing water storage and water use efficiency in the Kyrgyz Republic has ripple effects on\nclimate and economic resilience across the region.\n\n\n3. The country's economy, its water, agriculture and food security are highly vulnerable to climate change. While the\nKyrgyz Republic ranks only 14, in terms of vulnerability as per 2023 Notre Dame Global Adaptation\n\nMention: \"Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Outlook supplying the current poverty rate.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005375:3:2", "occurrence_id": "ca2d83eefd0f4decf6ba30d2", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  low, with an average 30-40 percent water loss. Enhancing the performance\nof the Kyrgyz Republic’s irrigation sector requires large scale, efficient investments that build on lessons from previous\ninterventions, including the need to expand upstream storage, modernize I&D infrastructure, strengthen district and\nfarm level service delivery capacity, and better link irrigation investments with agricultural value chains. The Government\nlaunched a nationwide investment program to support its ongoing investments in improving irrigation services to more\nthan 200,000 hectares. The program is expected to benefit nearly one million people through the rehabilitation and\nexpansion of I&D systems, on-farm productivity measures, and market access support. It prioritizes climate smart\nirrigation, digital water management, institutional strengthening, and performance-based incentives to improve\nefficiency, reliability, and financial sustainability of irrigation services. It aligns irrigation improvements with high value\n\n\n[1 World Bank, Macro Poverty Outlook, October 2025](https://thedocs.worldbank.org/en/doc/d5f32ef28464d01f195827b7e020a3e8-0500022021/related/mpo-kgz.pdf)\n2 World Bank, 2025, Kyrgyz Republic Agriculture Public Expenditure Review\n\n\nPage 3\n\nMention: \"Macro Poverty Outlook\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Cited with URL alongside the agriculture expenditure review.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005348:4:1", "occurrence_id": "6aef7cb4cde2e3a83fc0be8e", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: _\nof 2025, women made up about 16.7% of\nthe members of the Uganda Institution of\nProfessional Engineers <sup>[2]</sup> . The underrepresentation of women engineers\ncarries significant economic and\ndevelopmental consequences. This\ndisparity constrains industry productivity,\ndiminishes the available talent pool, and\nlimits opportunities for women to pursue\nwell-paid and stable careers in the\ntransport sector. A mix of structural and\ninstitutional barriers limits women's\nparticipation in transport engineering.\nFewer women enter technical training, and\nthose who do struggle to transition into\nfield roles. Recruitment processes without\ngender perspective, male-centric work\ncultures, lack of mentoring, and poor\ncareer advancement further hinder\nrecruitment and retention. Closing this\ngender gap is vital for inclusive project\nbenefits and aligns with national gender\ngoals and the World Bank’s aim to improve\neconomic access.\n\n\n[1] UN Women Data Hub\n\n[2] Ministry of Energy and Mineral Development during the 8th African Women Engineers’ forum in Kampala on September 15, 2025.\n\n\nPage 4\n\n\nOfficial Use Only\n\nMention: \"UN Women Data Hub\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"source\", \"summary\": \"Gender statistics hub cited for workforce participation.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005385:6:1", "occurrence_id": "4f25d20ee509d55ccc032632", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -owned entities. Building on\ncurrent SWIM efforts, the project will continue to support ALRIs organizational reforms, and in that context, targeted\nsupport for WUAs. Key needs are water metering systems between district structures and WUAs to enable volume-based\nbilling, improving fee collection and financial management, increasing transparency and user participation, as well as basic\noperational resources (vehicles and essential equipment) to perform these tasks and maintain infrastructure.\n\n\n13. **Several key irrigation reform instruments are supported by the ongoing Strengthening Water and Irrigation**\n**Management (SWIM) Project.** The National Irrigation and Drainage Strategy 2025-2040 is under development and is\nprogressing with several key instruments: (i) a national baseline assessing the state of irrigation systems in the five river\nbasins of Tajikistan; (ii) the Energy Audit, which identified 392 priority pumping stations in need of rehabilitation with an\nestimated investment value of US$300 mln (including associated facilities); and (iii) the Tariffs & Subsidies study, covering\n42 irrigation schemes selected from 280 nationwide. The findings show potential cost recovery improvement from 63%\nto 71% by 2030 through gradual tariff adjustment and energy efficiency, alongside a 68% rise in agricultural output per m³\nof water. A draft Concept for Land Reclamation and Irrigation 2050 has been prepared setting targets for modernization,\nenergy savings, improved and expanded irrigated land, digitalization, and management reforms. As of 2025, of the total\nof 763 thousand ha equipped for irrigated agriculture, the area equipped for surface pumped irrigation under ALRI’s\nmandate is 304 thousand ha, of which only 247 thousand ha receive water to sustain crops, enabled by pumping stations\nbuilt between the 1950s to 1980’s which and in desperate need of rehabilitation and modernization. The instruments\nabove provide a roadmap for this project’s investments to increase water-energy efficiency and irrigation productivity in\nTajikistan; and the detailed prioritized list of pumping stations to modernize (see\n\nMention: \"Energy Audit\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Audit identified priority pumping stations needing rehabilitation and their cost.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005385:6:1", "occurrence_id": "795f771cd9444f9d8720da94", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: -owned entities. Building on\ncurrent SWIM efforts, the project will continue to support ALRIs organizational reforms, and in that context, targeted\nsupport for WUAs. Key needs are water metering systems between district structures and WUAs to enable volume-based\nbilling, improving fee collection and financial management, increasing transparency and user participation, as well as basic\noperational resources (vehicles and essential equipment) to perform these tasks and maintain infrastructure.\n\n\n13. **Several key irrigation reform instruments are supported by the ongoing Strengthening Water and Irrigation**\n**Management (SWIM) Project.** The National Irrigation and Drainage Strategy 2025-2040 is under development and is\nprogressing with several key instruments: (i) a national baseline assessing the state of irrigation systems in the five river\nbasins of Tajikistan; (ii) the Energy Audit, which identified 392 priority pumping stations in need of rehabilitation with an\nestimated investment value of US$300 mln (including associated facilities); and (iii) the Tariffs & Subsidies study, covering\n42 irrigation schemes selected from 280 nationwide. The findings show potential cost recovery improvement from 63%\nto 71% by 2030 through gradual tariff adjustment and energy efficiency, alongside a 68% rise in agricultural output per m³\nof water. A draft Concept for Land Reclamation and Irrigation 2050 has been prepared setting targets for modernization,\nenergy savings, improved and expanded irrigated land, digitalization, and management reforms. As of 2025, of the total\nof 763 thousand ha equipped for irrigated agriculture, the area equipped for surface pumped irrigation under ALRI’s\nmandate is 304 thousand ha, of which only 247 thousand ha receive water to sustain crops, enabled by pumping stations\nbuilt between the 1950s to 1980’s which and in desperate need of rehabilitation and modernization. The instruments\nabove provide a roadmap for this project’s investments to increase water-energy efficiency and irrigation productivity in\nTajikistan; and the detailed prioritized list of pumping stations to modernize (see\n\nMention: \"Tariffs & Subsidies study\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Study of selected schemes shows cost recovery rising by 2030 through tariff adjustment.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005354:4:0", "occurrence_id": "228f4df45a32c99b93a0fc8a", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRETRADE-SA MPA Phase 4: Zambia - Malawi Interconnector Project (P515018)\n\n\nshort-term rainfall events, though the extent varies considerably across models. Flood risk in the Project area is assessed\nas very low.\n\n\n_Figure A1-3. Areas that are at relatively high risks of droughts_ <sup>_10_</sup> [^10: <mark>Based on the SPEI (“Vicente-Serrano et al, 2010. A Mult</mark> i <mark>scalar Drought Index Sensit</mark> i <mark>ve to Global Warming: The Standardized Precipitat</mark> i <mark>on</mark>\n<mark>Evapotranspirat</mark> i <mark>on Index”)</mark>] _and flooding (pluvial and fluvial)_ <sup>_11_</sup> [^11: FATHOM v3.0, Pluvial and fluvial data]\n\n\n6. **Given the climate and disaster risks identified through the screening process, the Project will integrate targeted**\n**mitigation measures into technical studies and design decisions.** To address wildfire risk, the Project will employ noncombustible steel transmission towers, complemented by systematic vegetation management along transmission\ncorridors and around substations. In wildfire-prone areas, aerial bundled cables and fire-retardant coatings will be\nconsidered as additional protective measures. To address extreme heat, transmission line ratings and substation\nequipment specifications will account for elevated ambient temperatures and associated thermal performance\nrequirements for both electrical and mechanical components. To manage flood risk, though this risk has been identified\nas very unlikely in the Project area at this stage, infrastructure will be sited in locations of low flood hazard wherever\nfeasible; where this is not possible, deep foundation designs and drainage systems will incorporate appropriate protective\nmeasures. Finally, infrastructure siting will avoid areas of high landslide susceptibility—a risk also assessed as very low in\nthe Project area—thereby reducing the risk of physical damage and lengthy repair times.\n\n\n7. **Beyond these specific technical\n\nMention: \"SPEI\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Multiscalar drought index maps areas at relatively high drought risk.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:005354:4:0", "occurrence_id": "c85945bd8e7e1e33b8568505", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: **The World Bank**\nRETRADE-SA MPA Phase 4: Zambia - Malawi Interconnector Project (P515018)\n\n\nshort-term rainfall events, though the extent varies considerably across models. Flood risk in the Project area is assessed\nas very low.\n\n\n_Figure A1-3. Areas that are at relatively high risks of droughts_ <sup>_10_</sup> [^10: <mark>Based on the SPEI (“Vicente-Serrano et al, 2010. A Mult</mark> i <mark>scalar Drought Index Sensit</mark> i <mark>ve to Global Warming: The Standardized Precipitat</mark> i <mark>on</mark>\n<mark>Evapotranspirat</mark> i <mark>on Index”)</mark>] _and flooding (pluvial and fluvial)_ <sup>_11_</sup> [^11: FATHOM v3.0, Pluvial and fluvial data]\n\n\n6. **Given the climate and disaster risks identified through the screening process, the Project will integrate targeted**\n**mitigation measures into technical studies and design decisions.** To address wildfire risk, the Project will employ noncombustible steel transmission towers, complemented by systematic vegetation management along transmission\ncorridors and around substations. In wildfire-prone areas, aerial bundled cables and fire-retardant coatings will be\nconsidered as additional protective measures. To address extreme heat, transmission line ratings and substation\nequipment specifications will account for elevated ambient temperatures and associated thermal performance\nrequirements for both electrical and mechanical components. To manage flood risk, though this risk has been identified\nas very unlikely in the Project area at this stage, infrastructure will be sited in locations of low flood hazard wherever\nfeasible; where this is not possible, deep foundation designs and drainage systems will incorporate appropriate protective\nmeasures. Finally, infrastructure siting will avoid areas of high landslide susceptibility—a risk also assessed as very low in\nthe Project area—thereby reducing the risk of physical damage and lengthy repair times.\n\n\n7. **Beyond these specific technical\n\nMention: \"Pluvial and fluvial data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Commercial flood layers assess pluvial and fluvial risk.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000611:70:1", "occurrence_id": "7f901c9e14f7c50e51dcefc7", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \ntourism sector and adversely affected domestic production, as business activity has been curtailed to combat the\nspread of the disease. More specifically, COVID-19 has affected growth through several channels, including: the\nsudden total stop in tourism; declining remittances, as global growth slows; lower foreign direct investment; and\nfalling Citizenship by Investment (CBI) revenues. <sup>48</sup> . Tourism receipts approximate 20 percent of Dominica’s GDP in a\ntypical year. This fell to 8 percent in 2020 and 7.5 percent in 2021, although is slowly rebounding with projected\ndoubling (to 15 percent) in 2022 and rising closer to pre-2020 levels by 2023.\n\n2. There are no recent official poverty data, but poverty remains a cause for concern. The official poverty data are\noutdated (2008) with indicated poverty rates of 28.8 percent. Estimates after Hurricane Maria projected that poverty\ncould increase to 43 percent if consumption impacts were not addressed. Economic recovery in 2018 and 2019 are\nexpected to have reduced poverty levels but the extent of this potential poverty reduction cannot be confirmed. With\ngrowth decelerating markedly in 2020 due to the COVID-19 pandemic, poverty rates are expected to increase in 2020.\nIndicative data from a rapid survey for the Caribbean <sup>49</sup> revealed that impacts of the COVID-19 pandemic seem to be\ntaking an increasing toll on household income. As of June 2020, 70 percent of households reported a loss in\nemployment or reduced salaries, 12 percentage points higher than in April 2020 <sup>50</sup> . Additionally, 70 percent of those\nwhose income comes from informal sources and 66 percent of those in petty trades reported livelihood disruptions,\ncompared to 50 percent for salaried workers. Based on the 2008 Dominica Country Poverty Assessment, most of the\npoor work in services and agriculture, sectors that are directly linked to tourism. Given the high negative impact\n\nMention: \"poverty data\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"No recent official data; the outdated round indicated high poverty.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000611:70:1", "occurrence_id": "171896882fcd0ea6830f1290", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: \ntourism sector and adversely affected domestic production, as business activity has been curtailed to combat the\nspread of the disease. More specifically, COVID-19 has affected growth through several channels, including: the\nsudden total stop in tourism; declining remittances, as global growth slows; lower foreign direct investment; and\nfalling Citizenship by Investment (CBI) revenues. <sup>48</sup> . Tourism receipts approximate 20 percent of Dominica’s GDP in a\ntypical year. This fell to 8 percent in 2020 and 7.5 percent in 2021, although is slowly rebounding with projected\ndoubling (to 15 percent) in 2022 and rising closer to pre-2020 levels by 2023.\n\n2. There are no recent official poverty data, but poverty remains a cause for concern. The official poverty data are\noutdated (2008) with indicated poverty rates of 28.8 percent. Estimates after Hurricane Maria projected that poverty\ncould increase to 43 percent if consumption impacts were not addressed. Economic recovery in 2018 and 2019 are\nexpected to have reduced poverty levels but the extent of this potential poverty reduction cannot be confirmed. With\ngrowth decelerating markedly in 2020 due to the COVID-19 pandemic, poverty rates are expected to increase in 2020.\nIndicative data from a rapid survey for the Caribbean <sup>49</sup> revealed that impacts of the COVID-19 pandemic seem to be\ntaking an increasing toll on household income. As of June 2020, 70 percent of households reported a loss in\nemployment or reduced salaries, 12 percentage points higher than in April 2020 <sup>50</sup> . Additionally, 70 percent of those\nwhose income comes from informal sources and 66 percent of those in petty trades reported livelihood disruptions,\ncompared to 50 percent for salaried workers. Based on the 2008 Dominica Country Poverty Assessment, most of the\npoor work in services and agriculture, sectors that are directly linked to tourism. Given the high negative impact\n\nMention: \"rapid survey for the Caribbean\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"analyze\", \"summary\": \"Rapid survey shows a large share of households lost employment or pay.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:000598:4:2", "occurrence_id": "fedf0cda47442c2d81fe7b74", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text:  1). At the national level, the Federal Ministry of Water Resources (FMWR) is responsible for\npolicy making, oversight, and investment support for water resources management and development (surface\nwater and groundwater), water supply and sanitation, and irrigation and drainage. The responsibility for the\ndelivery of WASH services rests with state and local governments. Each of the 36 states has its own legal and\ninstitutional framework, resulting in significant variation in service delivery.\n\n\n10. **Weak governance of the sector, a historic lack of prioritization of WASH, and insufficient pressure by the public**\n**undermines service provision.** Key policy making, oversight, planning, service provision, regulation, and financing\nfunctions are not well defined and are seldom adequately implemented or enforced. Until recently, the reform of\nWASH services has not been high on the political agenda of federal and state governments, resulting in continued\nlow coverage and poor service quality. Moreover, service providers such as state water authorities continue to\n\n\n15 UNESCO (2014). Puberty education & menstrual hygiene management - good policy and practice in health education - Booklet 9. Paris, France.\n16 According to the 2017 Climate Change Vulnerability Index.\n\n\nSep 03, 2019 Page 5 of 11\n\nMention: \"2017 Climate Change Vulnerability Index\""}, {"role": "assistant", "content": "{\"role\": \"supporting\", \"usage_action\": \"inform\", \"summary\": \"Vulnerability index cited for the climate risk context.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}
+{"origin": "umar_pads", "source_key": "umar_pads:002029:56:1", "occurrence_id": "f3ed7349ea56e59cfba50a65", "messages": [{"role": "system", "content": "Describe how the author uses the cited data mention, using only the passage. Output ONLY JSON with keys role, usage_action, summary. role is primary, supporting, or background; usage_action is source, analyze, curate, validate, or inform. summary is one concise sentence in the passage's language; do not invent details."}, {"role": "user", "content": "Text: |every six<br>month<br>|Communes<br>GRM registry<br>|percentage of<br>complaints treated in a<br>less than 15 days<br>divided by the total<br>number of complaints<br>|Communes<br>|\n|Annual revenue of Beneficiary Communes|Revenue collected by the<br>communes|annually<br>|Communes<br>|Reports<br>|DGDT<br>|\n|Grievances received and addressed<br>through the project GRM system|complaints received, treated<br>and effectively closed<br>through the GRM put in<br>place in each communes|Annual<br>|Data from<br>communes<br>|Reports<br>|DGDT<br>|\n|Attacks or alerts of attacks in neighboring<br>communes|Number of Attacks/<br>intercommunity violence or<br>alerts recorded by the<br>security forces in communes<br>which has borders with<br>beneficiary communes|Monthly<br>|Ministry of<br>interieur<br>||Ministry of interior<br>|\n|Rural or Inter‐Urban Roads Rehabilitated<br>or Improved into climate resilient all‐<br>season roads|\n\nMention: \"Data from<br>communes\""}, {"role": "assistant", "content": "{\"role\": \"primary\", \"usage_action\": \"validate\", \"summary\": \"Commune records report grievances received and closed through the grievance system.\"}"}], "task": "usage", "is_synthetic": false, "origin_model": ""}