{"idx": 0, "rm_tag": "single_rm", "question": "What is the average number of words per user used for the experiments in the dataset from which a data sample of a user's Receptiviti score is shown? Please write the answer in float format.", "doc_id": "2303.05039v2.pdf", "doc_type": "Academic paper", "correct_answer": "466.43", "answer_format": "Float", "evidence_pages": "[4]", "evidence_sources": "[]", "images": ["2303.05039v2_concat1_0.jpg"], "preds": ["51.01"], "gt": "False"}
{"idx": 1, "rm_tag": "single_rm", "question": "What are used for long-distance communication as introduced in this slide?", "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "['radiowaves', 'microwaves']", "answer_format": "List", "evidence_pages": "[17, 18]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95_concat1_0.jpg"], "preds": ["The slide mentions that wireless technologies, such as appliances that communicate without wires (like televisions and radios using radiowaves, mobile phones using microwaves, laptops and computers using microwaves, and smartphones using microwaves and radiowaves), are used for long-distance communication. Additionally, it states that to send signals to satellites, microwaves can be used."], "gt": "False"}
{"idx": 2, "rm_tag": "single_rm", "question": "What is the name of the workspace shown as an example?", "doc_id": "transform-software-delivery-with-valueedge-brochure.pdf", "doc_type": "Brochure", "correct_answer": "default_workspace", "answer_format": "Str", "evidence_pages": "[10]", "evidence_sources": "['Figure']", "images": ["transform-software-delivery-with-valueedge-brochure_concat1_0.jpg"], "preds": ["The name of the workspace shown as an example in the image is \"Advantage Online.\""], "gt": "False"}
{"idx": 3, "rm_tag": "single_rm", "question": "How many 'INF' logos does this document have in all?", "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf", "doc_type": "Administration/Industry file", "correct_answer": "15", "answer_format": "Int", "evidence_pages": "[]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["a5879805d70c854ea4361e43a84e3bb2_concat1_0.jpg"], "preds": ["The document contains 14 instances of the \"INF\" logo. These logos appear at the bottom right corner of each page, except for the last page which has only one instance."], "gt": "False"}
{"idx": 4, "rm_tag": "single_rm", "question": "How many waveform figures are contained in the guidebook for 272318? List the page numbers in the list format in ascending order,e.g., [\"1\",\"2\"]", "doc_id": "DSA-278777.pdf", "doc_type": "Guidebook", "correct_answer": "['12', '13', '16', '18', '20']", "answer_format": "List", "evidence_pages": "[12, 13, 16, 18, 20]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["DSA-278777_concat1_0.jpg"], "preds": ["The guidebook contains waveform figures on the following pages:\n\n[\"5\", \"6\", \"9\", \"10\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\"]"], "gt": "False"}
{"idx": 5, "rm_tag": "single_rm", "question": "What is total liabilities for costco in FY 2021?", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "41190", "answer_format": "Float", "evidence_pages": "[36, 38]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "preds": ["To find the total liabilities for Costco in FY 2021, we need to look at the \"Total Liabilities\" line in the \"Consolidated Balance Sheets\" section of the financial statements.\n\nIn the consolidated balance sheet for the fiscal year ended August 29, 2021 (which corresponds to FY 2021), the \"Total Liabilities\" amount is listed as $59,268 million.\n\nSo, the total liabilities for Costco in FY 2021 were $59,268 million."], "gt": "False"}
{"idx": 6, "rm_tag": "single_rm", "question": "How many people in India were using a debit card when the e-commerce sales reached 11 billion?", "doc_id": "ecommerceopportunityindia-141124010546-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "399 million", "answer_format": "Str", "evidence_pages": "[12, 15]", "evidence_sources": "['Chart']", "images": ["ecommerceopportunityindia-141124010546-conversion-gate01_95_concat1_0.jpg"], "preds": ["According to the image, the number of Debit Card users in India was 399 million when the e-commerce sales reached $11 billion."], "gt": "False"}
{"idx": 7, "rm_tag": "single_rm", "question": "In Q3 2015, what is the approximate range of cost in 1 day (dollar) of a mobile incentive platform in Vietnam for installing? Answer with a list of two number for boundary, for example [3000, 4000]", "doc_id": "reportq32015-151009093138-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "[1500, 8000]", "answer_format": "List", "evidence_pages": "[26, 27]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["reportq32015-151009093138-lva1-app6891_95_concat1_0.jpg"], "preds": ["[0.3, 0.4]"], "gt": "False"}
{"idx": 8, "rm_tag": "single_rm", "question": "What is the color of the zone Mali in the map used to demonstrate GeoShapes using SPARQL and OSM?", "doc_id": "52b3137455e7ca4df65021a200aef724.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "purple", "answer_format": "Str", "evidence_pages": "[81]", "evidence_sources": "['Figure']", "images": ["52b3137455e7ca4df65021a200aef724_concat1_0.jpg"], "preds": ["The color of the zone Mali in the map used to demonstrate GeoShapes using SPARQL and OSM is orange."], "gt": "False"}
{"idx": 9, "rm_tag": "single_rm", "question": "Which of the following company logos do not appear in the slides? Facebook, AWS, Cargo and Manta.", "doc_id": "amb-siteaudits-ds15-150204174043-conversion-gate01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "AWS", "answer_format": "Str", "evidence_pages": "[2, 8]", "evidence_sources": "['Figure']", "images": ["amb-siteaudits-ds15-150204174043-conversion-gate01_95_concat1_0.jpg"], "preds": ["The company logos that do not appear in the slides are Facebook, AWS, and Cargo. The logo for Manta is present in the image."], "gt": "False"}
{"idx": 10, "rm_tag": "single_rm", "question": "How many numbers are mentioned on Slide 27 and the slide two positions after it?", "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[27, 29]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["bariumswallowpresentation-090810084400-phpapp01_95_concat1_0.jpg"], "preds": ["On Slide 27, there is one number mentioned: \"100%\".\n\nThe slide two positions after Slide 27 is Slide 29, which mentions the number \"30%\". \n\nSo, in total, there are 2 numbers mentioned (100% and 30%)."], "gt": "False"}
{"idx": 11, "rm_tag": "single_rm", "question": "What's the percentage value of west Germany respondents viewing Germany's relationship with the United States is as important as its relationship with Russia?", "doc_id": "PG_2020.03.09_US-Germany_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "29%", "answer_format": "Float", "evidence_pages": "[15]", "evidence_sources": "['Chart']", "images": ["PG_2020.03.09_US-Germany_FINAL_concat1_0.jpg"], "preds": ["According to the chart in the image, 43% of West German respondents view Germany's relationship with the United States as important as its relationship with Russia."], "gt": "False"}
{"idx": 13, "rm_tag": "single_rm", "question": "How many pictures are shown in Pages 25-28?", "doc_id": "NYU_graduate.pdf", "doc_type": "Brochure", "correct_answer": "13", "answer_format": "Int", "evidence_pages": "[25, 26, 27, 28]", "evidence_sources": "['Figure']", "images": ["NYU_graduate_concat1_0.jpg"], "preds": ["Pages 25-28 of the image show a total of 10 pictures. Here is a breakdown:\n\n- Page 25: 3 pictures\n- Page 26: 4 pictures\n- Page 27: 2 pictures\n- Page 28: 1 picture\n\nSo, the total number of pictures on these pages is 3 + 4 + 2 + 1 = 10."], "gt": "False"}
{"idx": 14, "rm_tag": "single_rm", "question": "In the \"Error Analysis of Step-Back Prompting\", what is the sum of the baseline wrong percentages in TimeQA and MMLU high-school Physics?", "doc_id": "STEPBACK.pdf", "doc_type": "Academic paper", "correct_answer": "60.4%", "answer_format": "Float", "evidence_pages": "[6, 12]", "evidence_sources": "['Chart']", "images": ["STEPBACK_concat1_0.jpg"], "preds": ["The sum of the baseline wrong percentages in TimeQA and MMLU high-school Physics is 20.5% + 19.7% = 40.2%."], "gt": "False"}
{"idx": 16, "rm_tag": "single_rm", "question": "How many types of main menu functions are there?", "doc_id": "User_Manual_1500S_Classic_EN.pdf", "doc_type": "Guidebook", "correct_answer": "11", "answer_format": "Int", "evidence_pages": "[29]", "evidence_sources": "['Figure']", "images": ["User_Manual_1500S_Classic_EN_concat1_0.jpg"], "preds": ["The user manual for the WMF 1500S coffee machine lists several main menu functions. Based on the visible content, there are at least the following categories:\n\n1. Care\n2. Beverages\n3. Operating options\n4. Information\n\nEach of these categories likely contains sub-functions or settings related to the respective category. However, without scrolling through the entire document, it's difficult to provide an exact count of all the specific functions listed under each category. The image shows that there are multiple sub-sections within each main menu function, indicating a variety of settings and options available.\n\nTo get an accurate count, one would need to carefully read through the entire manual, which is not feasible in this format."], "gt": "False"}
{"idx": 18, "rm_tag": "single_rm", "question": "what is the total long-term capital lease obligation related to technology infrastructure, and buildings? Answer in million", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "8438", "answer_format": "Int", "evidence_pages": "[58]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "preds": ["The total long-term capital lease obligation related to technology infrastructure and buildings as of December 31, 2017, is $4,825 million."], "gt": "False"}
{"idx": 20, "rm_tag": "single_rm", "question": "How many membership warehouses did COSTCO operate at 2021?", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "815", "answer_format": "Int", "evidence_pages": "[19]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "preds": ["COSTCO operated 435 membership warehouses at the end of 2021, including 251 outside the U.S. and Canada."], "gt": "False"}
{"idx": 22, "rm_tag": "single_rm", "question": "What are two examples of reflecting surfaces?", "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "['shiny object', 'mirror']", "answer_format": "List", "evidence_pages": "[9]", "evidence_sources": "['Figure']", "images": ["b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95_concat1_0.jpg"], "preds": ["Two examples of reflecting surfaces mentioned in the image are:\n\n1. Shiny objects or mirrors.\n2. Smooth surfaces like polished metal or glass."], "gt": "False"}
{"idx": 23, "rm_tag": "single_rm", "question": "What is the deadline  month of the January intake ISEP students need to nominate supervisors and nominations of tac? Write the answer in list format, e.g., [\"Jan\",\"Feb\"]", "doc_id": "ISEP_student_handbook_2020.pdf", "doc_type": "Brochure", "correct_answer": "['Jun', 'Aug']", "answer_format": "List", "evidence_pages": "[13]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["ISEP_student_handbook_2020_concat1_0.jpg"], "preds": ["[\"Jan\", \"Feb\"]"], "gt": "False"}
{"idx": 24, "rm_tag": "single_rm", "question": "How many website URLs are included in the Section Internet Industry in the slides?", "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "24", "answer_format": "Int", "evidence_pages": "[18, 19, 20, 21, 23, 25, 26, 27, 28]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95_concat1_0.jpg"], "preds": ["In the section titled \"Internet Industry\" under \"Mobile Internet Overview (1)\" in the provided image, there are 10 website URLs listed:\n\n1. lazada.com\n2. zalora.com\n3. foodpanda.com\n4. lamido.com\n5. blibli.com\n6. disdus.com\n7. dealkeren.com\n8. traveloka.com\n9. tiket.com\n10. rajakarcis.com\n\nSo, there are 10 website URLs included in this section."], "gt": "False"}
{"idx": 25, "rm_tag": "single_rm", "question": "How many prompts instruction examples are listed in the main body of the paper? Please writhe down the answer in float format.", "doc_id": "2310.07609v1.pdf", "doc_type": "Academic paper", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[3, 4]", "evidence_sources": "['Generalized-text (Layout)', 'Pure-text (Plain-text)']", "images": ["2310.07609v1_concat1_0.jpg"], "preds": ["10"], "gt": "False"}
{"idx": 27, "rm_tag": "single_rm", "question": "In the adjusting the upper basket step, how many up arrows are contained in the figures? Write down the answers in float format with 1 decimal.", "doc_id": "bdf54dxa.pdf", "doc_type": "Guidebook", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[14, 15]", "evidence_sources": "['Generalized-text (Layout)', 'Pure-text (Plain-text)', 'Figure']", "images": ["bdf54dxa_concat1_0.jpg"], "preds": ["2.0"], "gt": "False"}
{"idx": 29, "rm_tag": "single_rm", "question": "How many strategies are plotted for training-time correction, generation-time correction, and post-hoc correction, respectively? Write the answer in the list format, e.g., [\"1\",\"2\"]", "doc_id": "tacl_a_00660.pdf", "doc_type": "Academic paper", "correct_answer": "['3', '2', '3']", "answer_format": "List", "evidence_pages": "[6, 7, 9]", "evidence_sources": "['Figure']", "images": ["tacl_a_00660_concat1_0.jpg"], "preds": ["[\"3\", \"5\", \"4\"]"], "gt": "False"}
{"idx": 30, "rm_tag": "single_rm", "question": "List all the countries/regions mentioned in the \"Regulatory Compliance Information\" part of this guidebook (except the U.S.). Your answer should be in English.", "doc_id": "Macbook_air.pdf", "doc_type": "Guidebook", "correct_answer": "['Canada', 'Europe', 'Korea', 'Singapore', 'Taiwan', 'China', 'Netherlands', 'Germany']", "answer_format": "List", "evidence_pages": "[66, 67, 68]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["Macbook_air_concat1_0.jpg"], "preds": ["The countries/regions mentioned in the \"Regulatory Compliance Information\" part of this guidebook, excluding the U.S., are:\n\n1. Australia\n2. Canada\n3. France\n4. Germany\n5. Ireland\n6. New Zealand\n7. United Kingdom"], "gt": "False"}
{"idx": 31, "rm_tag": "single_rm", "question": "Which type of semantic errors has the lowest total percentages in HOVER dataset?", "doc_id": "2023.acl-long.386.pdf", "doc_type": "Academic paper", "correct_answer": "Subtask", "answer_format": "Str", "evidence_pages": "[8]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["2023.acl-long.386_concat1_0.jpg"], "preds": ["The type of semantic error with the lowest total percentages in the HOVER dataset is \"Token\" errors, which account for 8% of the errors."], "gt": "False"}
{"idx": 33, "rm_tag": "single_rm", "question": "From 2009 to 2013, as for the adviser's organic growth rate,  how many years are higher than 2011?", "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", "doc_type": "Brochure", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[9]", "evidence_sources": "['Chart']", "images": ["csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95_concat1_0.jpg"], "preds": ["To determine how many years from 2009 to 2013 have an adviser's organic growth rate higher than 2011, we need to look at the graph in the image that shows the adviser's organic growth rate over these years.\n\nThe graph indicates:\n- In 2009: The adviser's organic growth rate is around 45%.\n- In 2010: The adviser's organic growth rate is around 30%.\n- In 2011: The adviser's organic growth rate is around 15%.\n- In 2012: The adviser's organic growth rate is around 10%.\n- In 2013: The adviser's organic growth rate is around 5%.\n\nFrom this data, we can see that the adviser's organic growth rate was higher than 2011 (which is 15%) in 2009 and 2010.\n\nTherefore, there are 2 years (2009 and 2010) where the adviser's organic growth rate is higher than 2011."], "gt": "False"}
{"idx": 34, "rm_tag": "single_rm", "question": "What was the population of the city with the largest font on the map on Page 3 in 1890? Answer in int format", "doc_id": "698bba535087fa9a7f9009e172a7f763.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1862", "answer_format": "Int", "evidence_pages": "[11, 19]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)', 'Table']", "images": ["698bba535087fa9a7f9009e172a7f763_concat1_0.jpg"], "preds": ["The city with the largest font on the map on Page 3 is Aurora, and its population in 1890 was 14,096."], "gt": "False"}
{"idx": 36, "rm_tag": "single_rm", "question": "What is the residential capacity of Staten Island from 2003 to 2007? Give me an integer.", "doc_id": "8e7c4cb542ad160f80fb3d795ada35d8.pdf", "doc_type": "Research report / Introduction", "correct_answer": "435000000", "answer_format": "Int", "evidence_pages": "[8]", "evidence_sources": "['Pure-text (Plain-text)', 'Table']", "images": ["8e7c4cb542ad160f80fb3d795ada35d8_concat1_0.jpg"], "preds": ["The residential capacity of Staten Island from 2003 to 2007 is 5,980,000 square feet."], "gt": "False"}
{"idx": 38, "rm_tag": "single_rm", "question": "How many types of ecosystem players are listed in the slide?", "doc_id": "ecommerceopportunityindia-141124010546-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "20", "answer_format": "Int", "evidence_pages": "[21, 22]", "evidence_sources": "['Table']", "images": ["ecommerceopportunityindia-141124010546-conversion-gate01_95_concat1_0.jpg"], "preds": ["The slide lists five types of ecosystem players:\n\n1. Marketplaces\n2. Platforms\n3. Payments\n4. Banks\n5. Logistics\n\nEach type is further broken down into specific examples, such as marketplaces like Flipkart and Amazon, platforms like Google and Facebook, payments like Paytm and PayU, banks like HDFC Bank and Axis Bank, and logistics companies like Blue Dart and DHL."], "gt": "False"}
{"idx": 39, "rm_tag": "single_rm", "question": "How many figures are there in the Appendix in the paper? Please write down the answer into int format.", "doc_id": "2305.13186v3.pdf", "doc_type": "Academic paper", "correct_answer": "10", "answer_format": "Int", "evidence_pages": "[15, 16, 17, 22, 23, 24, 25, 26, 27]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["2305.13186v3_concat1_0.jpg"], "preds": ["There are 6 figures in the Appendix of the paper."], "gt": "False"}
{"idx": 40, "rm_tag": "single_rm", "question": "How many icons can be found in Status Bar? ", "doc_id": "mi_phone.pdf", "doc_type": "Guidebook", "correct_answer": "23", "answer_format": "Int", "evidence_pages": "[10, 11]", "evidence_sources": "['Chart', 'Figure', 'Pure-text (Plain-text)']", "images": ["mi_phone_concat1_0.jpg"], "preds": ["The Status Bar in the image contains 16 icons, as indicated in the \"Status Bar Icons\" section of the user guide. These icons provide information about various statuses and settings on the phone, such as signal strength, battery level, Wi-Fi connection, and more."], "gt": "False"}
{"idx": 41, "rm_tag": "single_rm", "question": "What is common equity  for COSTCO in FY2021? ", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "18078", "answer_format": "Float", "evidence_pages": "[38]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "preds": ["To determine the common equity for Costco in FY2021, we need to look at the \"Total Equity\" line item on the Consolidated Balance Sheets provided in the financial statements.\n\nFrom the consolidated balance sheet for the fiscal year ended August 29, 2021 (which corresponds to FY2021), the total equity (common equity) is listed as $59,268 million.\n\nSo, the common equity for Costco in FY2021 is $59,268 million."], "gt": "False"}
{"idx": 42, "rm_tag": "single_rm", "question": "Which transport is included in \"Norway in a Nutshell\" but not \"Sognefjord in a Nutshell\"", "doc_id": "Bergen-Brochure-en-2022-23.pdf", "doc_type": "Brochure", "correct_answer": "bus", "answer_format": "Str", "evidence_pages": "[32]", "evidence_sources": "['Generalized-text (Layout)', 'Pure-text (Plain-text)']", "images": ["Bergen-Brochure-en-2022-23_concat1_0.jpg"], "preds": ["The \"Norway in a Nutshell\" tour includes train travel, while the \"Sognefjord in a Nutshell\" tour does not mention any specific type of transport other than boat rides and hiking. Therefore, the transport that is included in \"Norway in a Nutshell\" but not in \"Sognefjord in a Nutshell\" is the train."], "gt": "False"}
{"idx": 45, "rm_tag": "single_rm", "question": "what is capitalization ratio for Best Buy for the fiscal year ending January 28, 2023? Answer in percentage term, round to one decimal places.", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "29.6%", "answer_format": "Float", "evidence_pages": "[39]", "evidence_sources": "['Table']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "preds": ["To determine the capitalization ratio for Best Buy as of the fiscal year ending January 28, 2023, we need to look at the balance sheet and find the total debt and total equity. The capitalization ratio is calculated as:\n\n\\[ \\text{Capitalization Ratio} = \\left( \\frac{\\text{Total Debt}}{\\text{Total Equity}} \\right) \\times 100 \\]\n\nFrom the Consolidated Balance Sheet (as of January 28, 2023):\n\n- **Total Debt**: $4,769 million\n- **Total Equity**: $15,244 million\n\nNow, let's calculate the capitalization ratio:\n\n\\[ \\text{Capitalization Ratio} = \\left( \\frac{4,769}{15,244} \\right) \\times 100 \\approx 31.3\\% \\]\n\nSo, the capitalization ratio for Best Buy for the fiscal year ending January 28, 2023, is approximately 31.3%."], "gt": "False"}
{"idx": 46, "rm_tag": "single_rm", "question": "In the year when 58% of people thought it was too early to tell if Trump was a successful president, how many people believed that his economic policies had not much effect on the economic situation?", "doc_id": "PP_2019.01.17_Trump-economy_FINAL2.pdf", "doc_type": "Research report / Introduction", "correct_answer": "49%", "answer_format": "Float", "evidence_pages": "[13, 14]", "evidence_sources": "['Chart']", "images": ["PP_2019.01.17_Trump-economy_FINAL2_concat1_0.jpg"], "preds": ["In the year when 58% of people thought it was too early to tell if Trump was a successful president (which was in January 2011), 43% of people believed that Trump's economic policies had \"not much effect\" on the economic situation."], "gt": "False"}
{"idx": 47, "rm_tag": "single_rm", "question": "What's the percentage of people who are democrats and voted in the last election compared to the entire population in 2018?", "doc_id": "Independents-Report.pdf", "doc_type": "Research report / Introduction", "correct_answer": "18.29%", "answer_format": "Float", "evidence_pages": "[3, 5]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["Independents-Report_concat1_0.jpg"], "preds": ["According to the chart on page 4, the percentage of people who identified as Democrats and voted in the last election (2018) is 61%."], "gt": "False"}
{"idx": 49, "rm_tag": "single_rm", "question": "How many faces are shown in this document?", "doc_id": "transform-software-delivery-with-valueedge-brochure.pdf", "doc_type": "Brochure", "correct_answer": "10", "answer_format": "Int", "evidence_pages": "[1, 6, 9, 11, 12, 18]", "evidence_sources": "['Figure']", "images": ["transform-software-delivery-with-valueedge-brochure_concat1_0.jpg"], "preds": ["The document contains multiple images of people, but it is not possible to count the exact number of distinct faces shown without a detailed analysis of each image. However, based on the visible content:\n\n1. There is one person in the top-left image.\n2. There are two people in the bottom-left image.\n3. There are two people shaking hands in the middle-right image.\n4. There are two people in the bottom-right image.\n\nAdding these up, there are at least 7 distinct faces shown in the document."], "gt": "False"}
{"idx": 50, "rm_tag": "single_rm", "question": "What devices other than phone are introduced for setting device+?", "doc_id": "nova_y70.pdf", "doc_type": "Guidebook", "correct_answer": "['vision', 'bluetooth device']", "answer_format": "List", "evidence_pages": "[11, 12]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["nova_y70_concat1_0.jpg"], "preds": ["The image does not explicitly list other devices besides the phone that can be set up with Device+. However, it mentions that Device+ supports linking phones with the following types of devices:\n\n1. Vision: Ensure it is connected to the same LAN and logged in to the same HUAWEI ID on your phone.\n2. Bluetooth device: Some Bluetooth devices (such as Bluetooth headsets) can be linked with your phone via Device+ after establishing a Bluetooth connection.\n\nSo, the devices mentioned for setting up with Device+ include:\n- Vision devices (like smartwatches or smart glasses)\n- Bluetooth devices (like headphones, speakers, or other audio devices)\n\nThese are the only specific types of devices mentioned in the context of setting up with Device+."], "gt": "False"}
{"idx": 51, "rm_tag": "single_rm", "question": "To built-in install for the integrated diswasher model,  how many mm should the diswasher leave between the cabinet bottom and floor?", "doc_id": "bdf54dxa.pdf", "doc_type": "Guidebook", "correct_answer": "100", "answer_format": "Int", "evidence_pages": "[24]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["bdf54dxa_concat1_0.jpg"], "preds": ["For the integrated dishwasher model, the instruction manual specifies that there should be a minimum clearance of 50 mm between the dishwasher and the floor when it is installed in a built-in setup. This ensures proper installation and allows for any necessary adjustments or maintenance."], "gt": "False"}
{"idx": 52, "rm_tag": "single_rm", "question": "According to this guideline, what is on the left side of the MacBook Air's camera?", "doc_id": "Macbook_air.pdf", "doc_type": "Guidebook", "correct_answer": "Ambient light sensor", "answer_format": "Str", "evidence_pages": "[26]", "evidence_sources": "['Figure']", "images": ["Macbook_air_concat1_0.jpg"], "preds": ["According to the guidelines provided in the image, the left side of the MacBook Air's camera has an \"Infrared (IR) receiver.\" This component is typically used for communication with other devices or systems that use infrared signals."], "gt": "False"}
{"idx": 53, "rm_tag": "single_rm", "question": "Among the most important applications listed, which one is shown a picture of the interface as an example", "doc_id": "c31e6580d0175ab3f9d99d1ff0bfa000.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "Electronic Medical Records", "answer_format": "Str", "evidence_pages": "[7, 11]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["c31e6580d0175ab3f9d99d1ff0bfa000_concat1_0.jpg"], "preds": ["The most important application shown with an interface example in the image is \"Microsoft Office OneNote.\" The interface of OneNote is displayed in the section titled \"Some Hospitals are using Tablet Capture Devices,\" where it shows a screenshot of the OneNote application being used for note-taking and organizing information."], "gt": "False"}
{"idx": 54, "rm_tag": "single_rm", "question": "Which subsystem of fuel injection system is not elaborated?", "doc_id": "efis-140411041451-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "Air induction system", "answer_format": "Str", "evidence_pages": "[]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["efis-140411041451-phpapp01_95_concat1_0.jpg"], "preds": ["The image does not provide detailed information about the \"Fuel Delivery System\" or the \"Fuel Supply System.\" These systems are mentioned in the text but are not elaborated upon with diagrams or further explanation. The image focuses more on the electronic control unit (ECU), sensors, and different types of fuel injection systems like single-point and multipoint systems."], "gt": "False"}
{"idx": 55, "rm_tag": "single_rm", "question": "What colors are the Lufthansa logo within the first 90 minutes and afterward until 120 minutes?", "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['yellow', 'black and white']", "answer_format": "List", "evidence_pages": "[7, 8]", "evidence_sources": "['Figure']", "images": ["germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95_concat1_0.jpg"], "preds": ["Within the first 90 minutes, the Lufthansa logo is displayed in black and white. Afterward, until 120 minutes, the Lufthansa logo remains in black and white as well."], "gt": "False"}
{"idx": 56, "rm_tag": "single_rm", "question": "What models of cars are introduced on pages 10 and 11?", "doc_id": "camry_ebrochure.pdf", "doc_type": "Brochure", "correct_answer": "['SE', 'SE Nightshade', 'XSE', 'XSE6', 'TRD', 'LE Hybrid']", "answer_format": "List", "evidence_pages": "[10, 11]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["camry_ebrochure_concat1_0.jpg"], "preds": ["The models of cars introduced on pages 10 and 11 are the Toyota Camry. The page provides information about various features, specifications, and options available for different trims of the 2024 Toyota Camry, including LE, XLE, SE, XSE V6, TRD, and SE Nightshade."], "gt": "False"}
{"idx": 58, "rm_tag": "single_rm", "question": "How many pictures are used in the chat example figures, excluding the Appendix?", "doc_id": "2405.09818v1.pdf", "doc_type": "Academic paper", "correct_answer": "18", "answer_format": "Int", "evidence_pages": "[3, 4, 5, 10, 11]", "evidence_sources": "['Figure']", "images": ["2405.09818v1_concat1_0.jpg"], "preds": ["In the main body of the document (excluding the Appendix), there are 5 chat example figures that include images:\n\n1. Figure 2: A chat example with text and an image.\n2. Figure 3: Another chat example with text and an image.\n3. Figure 4: A third chat example with text and an image.\n4. Figure 7: A fourth chat example with text and an image.\n5. Figure 8: A fifth chat example with text and an image.\n\nSo, there are 5 pictures used in the chat example figures in the main body of the document."], "gt": "False"}
{"idx": 59, "rm_tag": "single_rm", "question": "Which case is related to the statement that \"PIC also never determined if Hanson's qualified immunity defense would overcome her conflicts of interest.\"?", "doc_id": "7c3f6204b3241f142f0f8eb8e1fefe7a.pdf", "doc_type": "Administration/Industry file", "correct_answer": "FN54. Wong v. Allison, 208 F.3d 224, 2000 WL 206572", "answer_format": "Str", "evidence_pages": "[13, 14]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["7c3f6204b3241f142f0f8eb8e1fefe7a_concat1_0.jpg"], "preds": ["The statement you mentioned, \"PIC also never determined if Hanson's qualified immunity defense would overcome her conflicts of interest,\" is related to the case \"Hanson v. Delaware State Public Integrity Commission.\" This case involves a conflict of interest claim against a town commissioner named Hanson who voted in favor of a Clarifying Ordinance in Dewey Beach, Delaware. The Delaware State Public Integrity Commission (PIC) found that Hanson had violated the Code of Conduct due to her conflicts of interest and her vote on the ordinance. However, the court concluded that PIC did not determine whether Hanson's qualified immunity defense would be successful in overcoming these conflicts of interest."], "gt": "False"}
{"idx": 60, "rm_tag": "single_rm", "question": "what is Amazon's FY2017 Operating Profit Margin Before Depreciation? round your answer to three decimal", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.073", "answer_format": "Float", "evidence_pages": "[38, 71]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "preds": ["To calculate Amazon's FY2017 Operating Profit Margin Before Depreciation, we need to use the following formula:\n\n\\[ \\text{Operating Profit Margin Before Depreciation} = \\frac{\\text{Operating Income (Before Depreciation and Amortization)}}{\\text{Net Sales}} \\]\n\nFrom the financial statements provided in the image:\n\n- Net Sales for FY2017: $136,987 million\n- Operating Income (Before Depreciation and Amortization) for FY2017: $4,186 million\n\nNow, plug these values into the formula:\n\n\\[ \\text{Operating Profit Margin Before Depreciation} = \\frac{4,186}{136,987} \\approx 0.0305 \\]\n\nRounding this to three decimal places:\n\n\\[ \\text{Operating Profit Margin Before Depreciation} \\approx 0.031 \\]\n\nSo, Amazon's FY2017 Operating Profit Margin Before Depreciation is approximately **0.031** or 3.1%."], "gt": "False"}
{"idx": 61, "rm_tag": "single_rm", "question": "In the figure that has a tree shape, what is the name of the branch that has the least leafs?", "doc_id": "2312.10997v5.pdf", "doc_type": "Academic paper", "correct_answer": "Pre-training", "answer_format": "Str", "evidence_pages": "[2]", "evidence_sources": "['Chart', 'Generalized-text (Layout)']", "images": ["2312.10997v5_concat1_0.jpg"], "preds": ["The branch with the least leafs in the tree diagram appears to be the one labeled \"Naive RAG.\" This branch has only two leaves, which represent the two main components of Naive RAG: \"Indexing\" and \"Retrieval.\""], "gt": "False"}
{"idx": 62, "rm_tag": "single_rm", "question": "Which groups of applicants have the lastest end of application period according to this brochure?", "doc_id": "2024.ug.eprospectus.pdf", "doc_type": "Brochure", "correct_answer": "[\"Singapore-Cambridge GCE 'A' Level\", 'International Baccalaureate (IB) Diploma']", "answer_format": "List", "evidence_pages": "[25]", "evidence_sources": "['Table']", "images": ["2024.ug.eprospectus_concat1_0.jpg"], "preds": ["According to the brochure, the latest end of application period for financial aid schemes in AY2024 is 15 August 2024. This applies to the following groups:\n\n- Tuition Fee Loan\n- Study Loan\n- CPF Education Loan Scheme\n- Mendaki Tertiary Tuition Fee Subsidy (TTFS)\n- Post Secondary Education Account (PSEA) and SkillsFuture Credit\n\nThese are all listed under the \"For Paying Tuition Fees\" section."], "gt": "False"}
{"idx": 63, "rm_tag": "single_rm", "question": "How many women in total are there in the slides? Please list the page number in the list format, e.g., [\"1\",\"2\"]", "doc_id": "earthlinkweb-150213112111-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['5', '24', '25', '26', '27', '28', '31', '44']", "answer_format": "List", "evidence_pages": "[5, 24, 25, 26, 27, 28, 31, 44]", "evidence_sources": "['Figure']", "images": ["earthlinkweb-150213112111-conversion-gate02_95_concat1_0.jpg"], "preds": ["There are no women depicted in the slides provided. The images show various charts, graphs, and text but do not include any photographs or illustrations of people. Therefore, the answer is:\n\n[\"\"]"], "gt": "False"}
{"idx": 64, "rm_tag": "single_rm", "question": "how many Domestic store does Best Buy have in fiscal 2023?", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "978", "answer_format": "Int", "evidence_pages": "[19]", "evidence_sources": "['Table']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "preds": ["In fiscal year 2023, Best Buy had 1,463 domestic stores."], "gt": "False"}
{"idx": 66, "rm_tag": "single_rm", "question": "what is basic earnings per ordinary share in FY2023 for Bestbuy?", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "6.31", "answer_format": "Float", "evidence_pages": "[40]", "evidence_sources": "['Table']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "preds": ["The basic earnings per ordinary share (EPS) for Best Buy in fiscal year 2023 (ended January 28, 2023) can be found in the \"Selected Financial Data\" section of their annual report.\n\nAccording to the report:\n\n- **Basic EPS:** $1.47\n\nThis figure represents the net income attributable to Best Buy's common shareholders divided by the weighted average number of shares outstanding during the fiscal year."], "gt": "False"}
{"idx": 67, "rm_tag": "single_rm", "question": "What technology does the car’s Wi-Fi Connect use?", "doc_id": "camry_ebrochure.pdf", "doc_type": "Brochure", "correct_answer": "4G", "answer_format": "Str", "evidence_pages": "[6]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["camry_ebrochure_concat1_0.jpg"], "preds": ["The Wi-Fi Connect feature in the 2024 Toyota Camry uses 4G connectivity. It allows you to turn your Toyota into a hotspot with 4G connectivity, enabling you to connect to the internet and access various services while on the go. The Wi-Fi Connect is available on select models of the Camry and requires an active subscription for certain features like Apple CarPlay or Android Auto."], "gt": "False"}
{"idx": 68, "rm_tag": "single_rm", "question": "How many prompt examples are given in the Appendix? ", "doc_id": "2023.findings-emnlp.248.pdf", "doc_type": "Academic paper", "correct_answer": "15", "answer_format": "Int", "evidence_pages": "[14, 15, 16, 17, 18]", "evidence_sources": "['Figure']", "images": ["2023.findings-emnlp.248_concat1_0.jpg"], "preds": ["There are four prompt examples provided in the Appendix, each corresponding to different datasets and problem types. These examples illustrate how the framework translates natural language problems into symbolic representations that can be processed by logical reasoning systems."], "gt": "False"}
{"idx": 69, "rm_tag": "single_rm", "question": "How many figures are in this paper from Page 3 to Page 10? ", "doc_id": "2312.09390v1.pdf", "doc_type": "Academic paper", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[3, 6, 8, 9, 10]", "evidence_sources": "['Chart', 'Figure']", "images": ["2312.09390v1_concat1_0.jpg"], "preds": ["From Page 3 to Page 10, there are 10 figures in the paper. Here is the list of figures:\n\n1. Figure 1: An illustration of our methodology.\n2. Figure 2: A comparison of different models on NLP tasks.\n3. Figure 3: A comparison of different models on chess puzzles.\n4. Figure 4: Bootstrapping improves weak-to-strong generalization on NLP datasets with a simple auxiliary loss.\n5. Figure 5: Substantially improved generalization on NLP datasets with a simple auxiliary loss.\n6. Figure 6: Simple auxiliary loss improves generalization across most datasets.\n7. Figure 7: Strong models outperform the weak labels.\n8. Figure 8: The confidence loss decreases with larger student-supervisor gaps.\n9. Figure 9: Few-shot prompting becomes competitive with finetuning for large models.\n10. Figure 10: Generative finetuning on reward modeling data improves weak-to-strong performance and PGR.\n\nSo, there are 10 figures in total from Page 3 to Page 10."], "gt": "False"}
{"idx": 71, "rm_tag": "single_rm", "question": "According to this survey, which country’s youth show the greatest concern about unemployment problem?", "doc_id": "asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Egypt", "answer_format": "Str", "evidence_pages": "[20]", "evidence_sources": "['Chart']", "images": ["asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95_concat1_0.jpg"], "preds": ["According to the survey, the GCC (Gulf Cooperation Council) countries show the greatest concern about the unemployment problem. Specifically, in the section titled \"Concern About Key Issues,\" under the \"Unemployment\" category, the GCC countries have higher percentages of respondents who are very concerned compared to the Non-GCC countries. For example, in 2014, the GCC countries had a very high percentage of respondents who were very concerned about unemployment, with some countries showing over 60% very concerned. The Non-GCC countries, on the other hand, showed a lower percentage of very concerned respondents for the same issue."], "gt": "False"}
{"idx": 72, "rm_tag": "single_rm", "question": "How many websites are present on the cover page?", "doc_id": "e639029d16094ea71d964e2fb953952b.pdf", "doc_type": "Administration/Industry file", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[1]", "evidence_sources": "[]", "images": ["e639029d16094ea71d964e2fb953952b_concat1_0.jpg"], "preds": ["There is one website mentioned on the cover page: `http://www.access.gpo.gov/congress/house`."], "gt": "False"}
{"idx": 73, "rm_tag": "single_rm", "question": "How many slides contain the type of pictures that are two X-ray film distributed side by side?", "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[37, 38, 56, 58, 59, 64, 65, 73]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["bariumswallowpresentation-090810084400-phpapp01_95_concat1_0.jpg"], "preds": ["There are 5 slides that contain images of two X-ray films distributed side by side:\n\n1. Foreign Body Impaction\n2. Achalasia Cardia\n3. Diffuse Esophageal Spasm\n4. Zenker's Diverticulum\n5. Killian-Jamieson Diverticulum\n\nEach of these slides shows two X-ray films side by side, likely to compare different views or aspects of the condition being discussed."], "gt": "False"}
{"idx": 74, "rm_tag": "single_rm", "question": "In the cartoon in page 25, what does the hippo represent?", "doc_id": "ddoseattle-150627210357-lva1-app6891_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "highest paid person's opinion", "answer_format": "Str", "evidence_pages": "[25]", "evidence_sources": "['Figure']", "images": ["ddoseattle-150627210357-lva1-app6891_95_concat1_0.jpg"], "preds": ["In the cartoon on page 25 of the image, the hippo represents the idea that data-driven decisions should not be influenced by the highest-paid person's opinion but rather by data and evidence. The text below the cartoon states, \"Let data drive decisions, not the Highest Paid Person's Opinion.\" This emphasizes the importance of making decisions based on data analysis and evidence rather than relying solely on the authority or influence of an individual within the organization."], "gt": "False"}
{"idx": 76, "rm_tag": "single_rm", "question": "what is Amazon's FY2017 cash balance to total liability ratio? round your answer to three decimal", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.198", "answer_format": "Float", "evidence_pages": "[40, 50]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "preds": ["To calculate the ratio of Amazon's FY2017 cash balance to total liabilities, we need to follow these steps:\n\n1. Identify the cash balance for FY2017.\n2. Identify the total liabilities for FY2017.\n3. Divide the cash balance by the total liabilities and round the result to three decimal places.\n\nFrom the financial statements provided in the image:\n\n- **Cash Balance (FY2017)**: $95,862 million\n- **Total Liabilities (FY2017)**: $142,251 million\n\nNow, let's perform the calculation:\n\n\\[\n\\text{Ratio} = \\frac{\\text{Cash Balance}}{\\text{Total Liabilities}} = \\frac{95,862}{142,251}\n\\]\n\nPerforming the division:\n\n\\[\n\\text{Ratio} \\approx 0.674\n\\]\n\nRounding to three decimal places:\n\n\\[\n\\text{Ratio} \\approx 0.674\n\\]\n\nSo, Amazon's FY2017 cash balance to total liability ratio is approximately **0.674**."], "gt": "False"}
{"idx": 77, "rm_tag": "single_rm", "question": "How many people appear on pages three and four?", "doc_id": "camry_ebrochure.pdf", "doc_type": "Brochure", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[3, 4]", "evidence_sources": "['Figure']", "images": ["camry_ebrochure_concat1_0.jpg"], "preds": ["On page 3, there is one person visible in the top right corner of the image. On page 4, there are no people visible. Therefore, the total number of people appearing on pages 3 and 4 is 1."], "gt": "False"}
{"idx": 78, "rm_tag": "single_rm", "question": "What types of animals appear in the PPT?", "doc_id": "catvsdogdlpycon15se-150512122612-lva1-app6891_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "['Dog', 'Cat', 'Bear']", "answer_format": "List", "evidence_pages": "[1, 9]", "evidence_sources": "['Figure']", "images": ["catvsdogdlpycon15se-150512122612-lva1-app6891_95_concat1_0.jpg"], "preds": ["The PPT contains images and text related to cats and dogs, specifically in the context of a \"Cat vs Dog Detector.\" The animals depicted include:\n\n1. A cat wearing sunglasses.\n2. A dog with a red \"X\" over it.\n3. A dog with a green checkmark next to it.\n4. A cartoon bear with a speech bubble saying \"Bear With Me.\"\n5. Various images of dogs and cats in different poses and settings.\n\nThese images are used to illustrate points about deep learning and data science, particularly in the context of distinguishing between cats and dogs using machine learning techniques."], "gt": "False"}
{"idx": 80, "rm_tag": "single_rm", "question": "What is the utility derived from each hot dog that the boy is eating in the picture in slide 4?", "doc_id": "competitiveoutcomes-091006065143-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "+10", "answer_format": "Str", "evidence_pages": "[4]", "evidence_sources": "['Figure', 'Table']", "images": ["competitiveoutcomes-091006065143-phpapp01_95_concat1_0.jpg"], "preds": ["In the picture on slide 4, the boy is eating a hot dog, and the table next to it shows the utility derived from each hot dog consumed. The utility values are as follows:\n\n- 1st hot dog: +6\n- 2nd hot dog: +2\n- 3rd hot dog: 0\n- 4th hot dog: -2\n- 5th hot dog: -4\n- 6th hot dog: -10\n\nThe table also includes a note about the point where Joey Chestnut ties Kobayashi for the 2007 championship, which is at 64 hot dogs consumed with a utility of -40."], "gt": "False"}
{"idx": 81, "rm_tag": "single_rm", "question": "Which officer verify and signed the complaint?", "doc_id": "3276a5b991c49cf5f9a4af0f7d6fce67.pdf", "doc_type": "Administration/Industry file", "correct_answer": "Special Agent Marc Silski", "answer_format": "Str", "evidence_pages": "[16]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["3276a5b991c49cf5f9a4af0f7d6fce67_concat1_0.jpg"], "preds": ["The officer who verified and signed the complaint is Special Agent Marc Silski from the Federal Bureau of Investigation (FBI). This can be seen at the bottom of the document, where it states:\n\n\"I, Marc Silski, am a Special Agent of the Federal Bureau of Investigation (\"FBI\"). I have read the foregoing Complaint for Forfeiture, and declare under penalty of perjury of the laws of the United States of America that the facts contained therein are true to the best of my knowledge and belief, based upon knowledge possessed by me and/or on information received from other law enforcement agents.\"\n\nThe signature of Special Agent Marc Silski is also present below this statement."], "gt": "False"}
{"idx": 82, "rm_tag": "single_rm", "question": "what goodwill does Best Buy have for for the fiscal year ending January 28, 2023?", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "1383", "answer_format": "Int", "evidence_pages": "[39]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "preds": ["To determine the goodwill that Best Buy has as of the fiscal year ending January 28, 2023, we need to look at the \"Goodwill and Intangible Assets\" section in the financial statements. Specifically, we should focus on the \"Goodwill\" line item.\n\nIn the provided image, the \"Goodwill\" line is located under the \"Intangible Assets\" section. The value of Goodwill as of January 28, 2023, is $1,459 million.\n\nSo, the goodwill that Best Buy has for the fiscal year ending January 28, 2023, is **$1,459 million**."], "gt": "False"}
{"idx": 83, "rm_tag": "single_rm", "question": "How many geographic markers in Greater Houston, Texas?", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[8]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "preds": ["The image shows a map of the United States with various geographic market names and their corresponding EPS codes. For the Greater Houston area in Texas, there are 5 major metropolitan areas listed:\n\n1. Houston\n2. Galveston\n3. Beaumont\n4. College Station\n5. Conroe\n\nSo, there are 5 geographic markers in the Greater Houston area."], "gt": "False"}
{"idx": 85, "rm_tag": "single_rm", "question": "How many people can be found in the figures in Pages 18-19?", "doc_id": "NYU_graduate.pdf", "doc_type": "Brochure", "correct_answer": "9", "answer_format": "Int", "evidence_pages": "[18, 19]", "evidence_sources": "['Figure']", "images": ["NYU_graduate_concat1_0.jpg"], "preds": ["In the figures on Pages 18 and 19, there are a total of 20 people visible. Here's a breakdown:\n\n- Page 18: There are 10 people visible.\n- Page 19: There are 10 people visible.\n\nSo, the total number of people in the figures on these two pages is 20."], "gt": "False"}
{"idx": 86, "rm_tag": "single_rm", "question": "What is sales to working capital ratio of Neflix in FY 2015?Round your answer to two decimal places.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "3.56", "answer_format": "Float", "evidence_pages": "[40, 43]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "preds": ["To find the sales to working capital ratio for Netflix in FY 2015, we need to calculate the ratio using the following formula:\n\n\\[ \\text{Sales to Working Capital Ratio} = \\frac{\\text{Net Sales}}{\\text{Working Capital}} \\]\n\nFrom the financial statements provided:\n\n- **Net Sales (Revenue)** for FY 2015: $6,739,511 million\n- **Working Capital** as of December 31, 2015: $4,872,169 million\n\nNow, let's plug these values into the formula:\n\n\\[ \\text{Sales to Working Capital Ratio} = \\frac{6,739,511}{4,872,169} \\approx 1.38 \\]\n\nRounding to two decimal places, the sales to working capital ratio for Netflix in FY 2015 is approximately **1.38**."], "gt": "False"}
{"idx": 88, "rm_tag": "single_rm", "question": "How many figures of trains are appeared in the documents?", "doc_id": "caltraincapacitymountainview1-150701205750-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[19, 21, 23]", "evidence_sources": "['Figure']", "images": ["caltraincapacitymountainview1-150701205750-lva1-app6891_95_concat1_0.jpg"], "preds": ["There are four figures of trains in the document:\n\n1. A figure showing a crowded train with passengers.\n2. A figure of a train on a map, indicating the route and stations.\n3. A figure of a train with a caption about electrification.\n4. A figure of a train with a caption about grade separations.\n\nThese figures are used to illustrate different aspects of Caltrain ridership and infrastructure improvements."], "gt": "False"}
{"idx": 89, "rm_tag": "single_rm", "question": "How many research questions does this paper answer?", "doc_id": "8e7c4cb542ad160f80fb3d795ada35d8.pdf", "doc_type": "Research report / Introduction", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[6, 8, 10, 11]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["8e7c4cb542ad160f80fb3d795ada35d8_concat1_0.jpg"], "preds": ["The paper answers five research questions:\n\n1. How have the rezonings changed the City's capacity for new residential development?\n2. Where has new residential capacity been added? Where has existing capacity been lost?\n3. What are the characteristics of communities that gained capacity? Of those that lost capacity?\n4. How does the location of new/lost capacity relate to the City's public transportation infrastructure?\n5. How likely is it that new capacity will be developed for residential use?\n\nThese questions are outlined in the section titled \"Data and methodology\" on page 3 of the document."], "gt": "False"}
{"idx": 91, "rm_tag": "single_rm", "question": "How many times does \"Barclays\" appear on page 4?", "doc_id": "disciplined-agile-business-analysis-160218012713_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["disciplined-agile-business-analysis-160218012713_95_concat1_0.jpg"], "preds": ["On page 4, the word \"Barclays\" appears twice."], "gt": "False"}
{"idx": 92, "rm_tag": "single_rm", "question": "How many exmaples are shown to support the importance of seeing the whole picture?  ", "doc_id": "nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[29, 30, 31, 32, 33, 34, 35]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95_concat1_0.jpg"], "preds": ["The image shows four examples to support the importance of seeing the whole picture:\n\n1. The first example is at the top left, showing album covers and the text \"ARE YOU SEEING THE WHOLE PICTURE?\" with a focus on different music genres.\n2. The second example is in the middle right, discussing streaming and its impact on the music industry.\n3. The third example is in the bottom left, highlighting the attributes of successful artists.\n4. The fourth example is in the bottom right, showing a music story growing from television.\n\nEach of these examples illustrates how considering various aspects or perspectives (such as different music genres, streaming trends, artist attributes, and television influence) provides a more comprehensive understanding of the topic."], "gt": "False"}
{"idx": 93, "rm_tag": "single_rm", "question": "How many different iPad solutions are shown in the document?", "doc_id": "2021-Apple-Catalog.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[6]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["2021-Apple-Catalog_concat1_0.jpg"], "preds": ["The document shows several iPad solutions, including:\n\n1. Series 2865\n2. OnePOD\n3. Series 960\n4. One60 Tethered\n5. One90QR\n6. iPad Digital Display\n\nSo, there are six different iPad solutions shown in the document."], "gt": "False"}
{"idx": 94, "rm_tag": "single_rm", "question": "what is research and development expense of Neflix in FY 2015? Answer in thousands.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "650788.00", "answer_format": "Float", "evidence_pages": "[24]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "preds": ["The research and development expense for Netflix in fiscal year 2015 (ending December 31, 2015) was $678,580 thousand."], "gt": "False"}
{"idx": 95, "rm_tag": "single_rm", "question": "what proportion does Best Buy have female employees in new, salaried field positions  for the fiscal year ending January 28, 2023?", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "25%", "answer_format": "Float", "evidence_pages": "[7]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "preds": ["According to the document, Best Buy reported that 37% of new, salaried field positions were filled by women as of the fiscal year ending January 28, 2023."], "gt": "False"}
{"idx": 96, "rm_tag": "single_rm", "question": "What do the green squares denote in Fig 1?", "doc_id": "2405.09818v1.pdf", "doc_type": "Academic paper", "correct_answer": "text tokens", "answer_format": "Str", "evidence_pages": "[2]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["2405.09818v1_concat1_0.jpg"], "preds": ["In Fig 1, the green squares represent the \"Start Image\" and \"End Image\" tokens. These tokens are used to mark the beginning and end of an image sequence within the model's input or output. The model processes these tokens along with text tokens to generate or understand multimodal content."], "gt": "False"}
{"idx": 97, "rm_tag": "single_rm", "question": "how many key steps did the author divide causal inference into?", "doc_id": "2312.04350v3.pdf", "doc_type": "Academic paper", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[2]", "evidence_sources": "['Figure']", "images": ["2312.04350v3_concat1_0.jpg"], "preds": ["The authors divided causal inference into three key steps, as outlined in the paper:\n\n1. **Association**: This step involves identifying relationships between variables.\n2. **Intervention**: This step involves understanding how interventions affect the variables.\n3. **Counterfactuals**: This step involves reasoning about what would have happened if certain interventions had been made.\n\nThese three steps form the \"Causal Ladder\" and are used to structure the dataset and the questions that are generated for the CLADDER dataset."], "gt": "False"}
{"idx": 98, "rm_tag": "single_rm", "question": "What is the difference in total volume between the rank 1 and rank 19 top albums?", "doc_id": "nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1194000", "answer_format": "Int", "evidence_pages": "[14, 15]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95_concat1_0.jpg"], "preds": ["The total volume for the rank 1 album (Taylor Swift's \"1989\") is 1,608,000. The total volume for the rank 19 album (Ariana Grande's \"My Everything\") is 414,000.\n\nThe difference in total volume between the rank 1 and rank 19 top albums is:\n\n\\[ 1,608,000 - 414,000 = 1,194,000 \\]\n\nSo, the difference in total volume is 1,194,000."], "gt": "False"}
{"idx": 99, "rm_tag": "single_rm", "question": "How many steps are involved in the binary fission of prokaryotic cells?", "doc_id": "chapter8-geneticscompatibilitymode-141214140247-conversion-gate02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[5]", "evidence_sources": "['Figure']", "images": ["chapter8-geneticscompatibilitymode-141214140247-conversion-gate02_95_concat1_0.jpg"], "preds": ["The binary fission of prokaryotic cells involves four main steps:\n\n1. **Duplication of chromosome and separation of copies**: The DNA replicates, and the two copies separate.\n2. **Continued elongation of the cell and movement of copies**: The cell grows, and the copies move towards opposite ends.\n3. **Division into two daughter cells**: The cell membrane or cell wall divides, creating two new cells.\n\nSo, there are 4 steps involved in the binary fission of prokaryotic cells."], "gt": "False"}
{"idx": 100, "rm_tag": "single_rm", "question": "How many businesses are shown as the examples of transformation by big data?", "doc_id": "bigdatatrends-120723191058-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "11", "answer_format": "Int", "evidence_pages": "[27, 28, 29, 30, 31, 32, 33, 34, 35, 36]", "evidence_sources": "['Generalized-text (Layout)', 'Figure', 'Pure-text (Plain-text)']", "images": ["bigdatatrends-120723191058-phpapp02_95_concat1_0.jpg"], "preds": ["The image shows examples of how big data is transforming various industries and businesses. Specifically, it highlights transformations in retail, online marketing, IT, customer service, billing, fraud management, operations management, law enforcement, medical research, and fitness. Each of these areas is presented with \"THEN\" and \"NOW\" scenarios to illustrate the transformation.\n\nTo count the number of businesses or industries shown:\n\n1. Retail\n2. Online Marketing\n3. IT\n4. Customer Service\n5. Billing\n6. Fraud Management\n7. Operations Management\n8. Law Enforcement\n9. Medical Research\n10. Fitness\n\nThere are 10 different areas or industries shown as examples of transformation by big data."], "gt": "False"}
{"idx": 101, "rm_tag": "single_rm", "question": "What is total dividend of Erstwhile ITC Hotels Limited (in Rupee) between 1999 to 2000 year?", "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", "doc_type": "Financial report", "correct_answer": "30216492.00", "answer_format": "Float", "evidence_pages": "[13]", "evidence_sources": "['Table']", "images": ["f86d073b0d735ac873a65d906ba82758_concat1_0.jpg"], "preds": ["The total dividend of Erstwhile ITC Hotels Limited for the financial year 1999-2000, as shown in the table, is Rs. 3,021,649.20."], "gt": "False"}
{"idx": 103, "rm_tag": "single_rm", "question": "In the example image for extending RAR to zero-shot recognition on object detection datasets, how many bounding boxes (bboxes) are there in total?", "doc_id": "RAR.pdf", "doc_type": "Academic paper", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[7]", "evidence_sources": "['Figure']", "images": ["RAR_concat1_0.jpg"], "preds": ["In the example image provided for extending RAR to zero-shot recognition on object detection datasets, there are 10 bounding boxes (bboxes) in total. The image shows a scene with multiple objects, and each object is represented by a bounding box."], "gt": "False"}
{"idx": 104, "rm_tag": "single_rm", "question": "List the areas that PWC performs IA support across.", "doc_id": "PWC_opportunity_of_lifetime.pdf", "doc_type": "Brochure", "correct_answer": "['IA Co-source', 'IA outsource', 'IA Tech Audit', 'IA Advisory']", "answer_format": "List", "evidence_pages": "[8]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["PWC_opportunity_of_lifetime_concat1_0.jpg"], "preds": ["PwC performs Internal Audit (IA) support across four main areas:\n\n1. Process intelligence\n2. IA co-source\n3. IA outsource\n4. IA Tech Audit"], "gt": "False"}
{"idx": 105, "rm_tag": "single_rm", "question": "What are the top2 texts of the red words in the document?", "doc_id": "e79deb02a0c0e87511080836c5d4347b.pdf", "doc_type": "Administration/Industry file", "correct_answer": "['LONG,HEALTHY LIFE', 'READINESS FOR EMERGING HEALTH THREATS']", "answer_format": "List", "evidence_pages": "[5]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["e79deb02a0c0e87511080836c5d4347b_concat1_0.jpg"], "preds": ["The top two texts of the red words in the document are:\n\n1. \"VALUES - What do we use to achieve our mission and vision?\"\n2. \"MISSION - Why do we exist?\""], "gt": "False"}
{"idx": 106, "rm_tag": "single_rm", "question": "what is Long-term Debt to Total Liabilities for COSTCO in FY2021? Round your answer to two decimal places.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.25", "answer_format": "Float", "evidence_pages": "[38, 53]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "preds": ["To find the Long-term Debt to Total Liabilities ratio for Costco in FY2021, we need to look at the financial statements provided in the image.\n\n1. Locate the \"Total Liabilities\" section in the consolidated balance sheet.\n2. Locate the \"Long-term Debt\" section in the consolidated balance sheet.\n3. Calculate the ratio by dividing the \"Long-term Debt\" by the \"Total Liabilities.\"\n\nFrom the consolidated balance sheet:\n\n- **Total Liabilities** (as of August 29, 2021): $59,268 million\n- **Long-term Debt** (as of August 29, 2021): $7,574 million\n\nNow, calculate the ratio:\n\\[ \\text{Ratio} = \\frac{\\text{Long-term Debt}}{\\text{Total Liabilities}} = \\frac{7,574}{59,268} \\approx 0.1276 \\]\n\nRounded to two decimal places:\n\\[ \\text{Ratio} \\approx 0.13 \\]\n\nSo, the Long-term Debt to Total Liabilities for Costco in FY2021 is approximately **0.13**."], "gt": "False"}
{"idx": 107, "rm_tag": "single_rm", "question": "What is the proportion of people who say they are very confident in Trump's ability to handle an international crisis?", "doc_id": "PP_2019.01.17_Trump-economy_FINAL2.pdf", "doc_type": "Research report / Introduction", "correct_answer": "26%", "answer_format": "Float", "evidence_pages": "[7]", "evidence_sources": "['Chart']", "images": ["PP_2019.01.17_Trump-economy_FINAL2_concat1_0.jpg"], "preds": ["The proportion of people who say they are \"very confident\" in Trump's ability to handle an international crisis is 57%. This can be seen in the chart labeled \"Public more confident in Trump on trade, economy than immigration and dealing with Congress,\" where the bar for \"Very\" confidence in handling an international crisis is at 57%."], "gt": "False"}
{"idx": 108, "rm_tag": "single_rm", "question": "How many exterior photos of organisations does this report provide?", "doc_id": "fdac8d1e9ef56519371df7e6532df27d.pdf", "doc_type": "Research report / Introduction", "correct_answer": "10", "answer_format": "Int", "evidence_pages": "[10, 11, 12, 14, 15, 16, 19, 20]", "evidence_sources": "['Figure']", "images": ["fdac8d1e9ef56519371df7e6532df27d_concat1_0.jpg"], "preds": ["The report provides exterior photos of the following organizations:\n\n1. ISRO Satellite Centre (ISAC)\n2. Vikram Sarabhai Space Centre (VSSC)\n3. Satish Dhawan Space Centre (SDSC) SHAR\n4. Physical Research Laboratory (PRL)\n5. Liquid Propulsion Systems Centre (LPSC)\n6. Master Control Facility (MCF)\n7. National Remote Sensing Centre (NRSC)\n8. Indian Institute of Space Science and Technology (IIST)\n\nSo, there are 8 exterior photos of organizations provided in the report."], "gt": "False"}
{"idx": 109, "rm_tag": "single_rm", "question": "In the 4-shot classification task, how much higher is the top-5 average accuracy of RAR (LLaVA1.5) compared to the top-1 accuracy?\n\n", "doc_id": "RAR.pdf", "doc_type": "Academic paper", "correct_answer": "18.9%", "answer_format": "Float", "evidence_pages": "[24, 25]", "evidence_sources": "['Table']", "images": ["RAR_concat1_0.jpg"], "preds": ["The top-5 average accuracy of RAR (LLaVA1.5) in the 4-shot classification task is 60.7%, and the top-1 accuracy is 58.3%. Therefore, the top-5 average accuracy is 2.4% higher than the top-1 accuracy."], "gt": "False"}
{"idx": 110, "rm_tag": "single_rm", "question": "What is the title of case study given under unit-8 in table?", "doc_id": "f8d3a162ab9507e021d83dd109118b60.pdf", "doc_type": "Administration/Industry file", "correct_answer": "Discrimination in the Workplace Continues", "answer_format": "Str", "evidence_pages": "[7]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["f8d3a162ab9507e021d83dd109118b60_concat1_0.jpg"], "preds": ["The title of the case study given under Unit 8 in the table is \"Critical Thinking Case Study: Discrimination in the Workplace Continues—submit on Google Docs.\""], "gt": "False"}
{"idx": 111, "rm_tag": "single_rm", "question": "How many social media accounts does NTU have?", "doc_id": "Guide-for-international-students-web.pdf", "doc_type": "Guidebook", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[3]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["Guide-for-international-students-web_concat1_0.jpg"], "preds": ["Nottingham Trent University (NTU) has multiple social media accounts, as indicated by the icons at the bottom of the image. Specifically, there are icons for Facebook, Instagram, Twitter, and YouTube. Therefore, NTU has 4 social media accounts."], "gt": "False"}
{"idx": 112, "rm_tag": "single_rm", "question": "When did the number of tweets referencing Germanwings exceed 200,000? Your report time should be in CET time, like '17:05 CET'.", "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "14:04 CET", "answer_format": "Int", "evidence_pages": "[19]", "evidence_sources": "['Chart']", "images": ["germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95_concat1_0.jpg"], "preds": ["The number of tweets referencing Germanwings exceeded 200,000 around 17:05 CET."], "gt": "False"}
{"idx": 113, "rm_tag": "single_rm", "question": "How many \"WC\"s are shown in the last page's map?", "doc_id": "Bergen-Brochure-en-2022-23.pdf", "doc_type": "Brochure", "correct_answer": "19", "answer_format": "Int", "evidence_pages": "[46]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["Bergen-Brochure-en-2022-23_concat1_0.jpg"], "preds": ["The last page of the image shows a map of Bergen, Norway. On this map, there are several symbols indicating public restrooms or toilets. Specifically, there are 10 \"WC\" symbols visible on the map. These symbols typically represent public toilets and are commonly used to denote restrooms in maps and travel guides."], "gt": "False"}
{"idx": 114, "rm_tag": "single_rm", "question": "According to the overview section, list the buttons of Mi phones", "doc_id": "mi_phone.pdf", "doc_type": "Guidebook", "correct_answer": "['Power Button', 'Volume Buttons', 'Menu Buttons', 'Home Buttons', 'Back Buttons']", "answer_format": "List", "evidence_pages": "[4, 5]", "evidence_sources": "['Table', 'Figure']", "images": ["mi_phone_concat1_0.jpg"], "preds": ["The overview section of the Mi Phone User Guide lists the following buttons:\n\n1. **Power Button** - Long press this button to turn the device on or off.\n2. **Volume Buttons** - Adjust the sound volume. Press this button when there is an incoming call to switch to silent mode.\n3. **Menu Button + Volume Down Button** - Capture Screenshot.\n\nThese buttons are essential for basic operations such as turning the phone on/off, adjusting the volume, and taking screenshots."], "gt": "False"}
{"idx": 116, "rm_tag": "single_rm", "question": "For all the examples given in Figure 5 and Figure 6, how many of them Logic-LM predicted the correct answer?", "doc_id": "2023.findings-emnlp.248.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[9, 19]", "evidence_sources": "['Figure']", "images": ["2023.findings-emnlp.248_concat1_0.jpg"], "preds": ["In Figure 5, Logic-LM correctly predicted the answer for 2 out of the 3 examples shown.\n\nIn Figure 6, Logic-LM correctly predicted the answer for 1 out of the 4 examples shown."], "gt": "False"}
{"idx": 117, "rm_tag": "single_rm", "question": "How many tables are there in the whole slides? ", "doc_id": "bigdatatrends-120723191058-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[17, 28]", "evidence_sources": "['Pure-text (Plain-text)', 'Table', 'Figure']", "images": ["bigdatatrends-120723191058-phpapp02_95_concat1_0.jpg"], "preds": ["There is one table visible in the image, located on slide number 17. It shows data growth rates for different areas: Database systems, Overall corporate data, and Data of average organization. The table includes growth rates such as 97%, 94%, and 50% respectively."], "gt": "False"}
{"idx": 118, "rm_tag": "single_rm", "question": "Which method integrates knowledge into white-box models via directive fine-tuning?", "doc_id": "2312.10997v5.pdf", "doc_type": "Academic paper", "correct_answer": "PKG", "answer_format": "Str", "evidence_pages": "[9, 10]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["2312.10997v5_concat1_0.jpg"], "preds": ["The method that integrates knowledge into white-box models via directive fine-tuning is called \"LLM-Fine-tuning.\" This approach involves reordering samples identified by SLMs to enhance the performance of LLMs in various downstream tasks, such as text classification and question answering."], "gt": "False"}
{"idx": 119, "rm_tag": "single_rm", "question": "How many geographic market names are listed under Los Angeles area?", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "13", "answer_format": "Int", "evidence_pages": "[10]", "evidence_sources": "['Pure-text (Plain-text)', 'Table']", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "preds": ["There are 34 geographic market names listed under the Los Angeles area in the image."], "gt": "False"}
{"idx": 120, "rm_tag": "single_rm", "question": "According to this report, from 2014 to 2015, one group has the most significant drop of percentage of households claiming their income was falling behind cost of living.\nWhich group is this, and what is the percentage droped?", "doc_id": "PH_2016.06.08_Economy-Final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['White', '10%']", "answer_format": "List", "evidence_pages": "[11]", "evidence_sources": "['Chart']", "images": ["PH_2016.06.08_Economy-Final_concat1_0.jpg"], "preds": ["According to the report, from 2014 to 2015, the group that experienced the most significant drop in the percentage of households claiming their income was falling behind the cost of living is Hispanic adults, with a drop of 6 percentage points.\n\nSpecifically, the report states:\n- In 2014, 53% of Hispanic adults said their family income was falling behind the cost of living.\n- In 2015, 47% of Hispanic adults said their family income was falling behind the cost of living.\n\nThis represents a 6 percentage point drop from 2014 to 2015 for Hispanic adults."], "gt": "False"}
{"idx": 121, "rm_tag": "single_rm", "question": "Which of the following department does not provide a PhD programme, Department of Economics, Department of English Language and Literature, or Department of History? ", "doc_id": "NUS-FASS-Graduate-Guidebook-2021-small.pdf", "doc_type": "Guidebook", "correct_answer": "Department of History", "answer_format": "Str", "evidence_pages": "[17, 18, 20]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["NUS-FASS-Graduate-Guidebook-2021-small_concat1_0.jpg"], "preds": ["The Department of English Language and Literature does not provide a PhD programme. The other two departments, Department of Economics and Department of History, do offer PhD programmes."], "gt": "False"}
{"idx": 122, "rm_tag": "single_rm", "question": "Which line's gates is shown as an example of the train map?", "doc_id": "Sinopolis-Chengdu.pdf", "doc_type": "Guidebook", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[26]", "evidence_sources": "['Figure']", "images": ["Sinopolis-Chengdu_concat1_0.jpg"], "preds": ["The image shows a detailed train map for Chengdu, which includes various lines and stations. The specific line that is highlighted as an example in the train map is Line 1. This can be identified by the red color coding on the map, which typically represents Line 1 in such maps."], "gt": "False"}
{"idx": 123, "rm_tag": "single_rm", "question": "As the Chairman of the Board who serves as the President of the Society of Indian Law Firms (Western Region), how many membership of Board of other companies does he have?", "doc_id": "afe620b9beac86c1027b96d31d396407.pdf", "doc_type": "Financial report", "correct_answer": "14", "answer_format": "Int", "evidence_pages": "[9, 10]", "evidence_sources": "['Table']", "images": ["afe620b9beac86c1027b96d31d396407_concat1_0.jpg"], "preds": ["The Chairman of the Board, Mr. R.A. Shah, has 8 memberships on the Board of other companies. This information can be found in the section detailing the \"Membership/Chairmanship of other Board Committees\" under his name in the table provided in the document."], "gt": "False"}
{"idx": 124, "rm_tag": "single_rm", "question": "Which baseline did the pre-trained Vicuna-13B perform best on MAVEN-ERE?", "doc_id": "2310.09158v1.pdf", "doc_type": "Academic paper", "correct_answer": "CoT w. logical constraints ", "answer_format": "Str", "evidence_pages": "[8]", "evidence_sources": "['Table']", "images": ["2310.09158v1_concat1_0.jpg"], "preds": ["The pre-trained Vicuna-13B performed best on MAVEN-ERE with \"w. all logical constraints\" and \"w. retrieved logical constraints\"."], "gt": "False"}
{"idx": 125, "rm_tag": "single_rm", "question": "In the slides, how many charts compare between ONLY US and Europe?", "doc_id": "earlybird-110722143746-phpapp02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "10", "answer_format": "Int", "evidence_pages": "[6, 7, 8, 11, 18, 23, 24, 25, 28, 30]", "evidence_sources": "['Chart']", "images": ["earlybird-110722143746-phpapp02_95_concat1_0.jpg"], "preds": ["In the provided image, there is one chart that compares only the US and Europe directly. This chart is located in slide 11 and shows \"US vs. Europe, post-IPO performance of all VC-backed IPOs* 03/04 to 07/11.\" It compares the IPO index values for the US and Europe over this period.\n\nThere are other charts that compare data between the US and Europe, but they often include additional regions or more detailed comparisons. For example, slide 6 compares exits over $100M from 2005 to Q1/2011, slide 17 compares VC investments in proportion to GDP, and slide 28 benchmarks VC performance drivers between Europe and the USA. However, these do not specifically focus on comparing only the US and Europe without including other regions or additional details."], "gt": "False"}
{"idx": 126, "rm_tag": "single_rm", "question": "What are the currencies shown in Multiple settlement options?", "doc_id": "BRO-GL-MMONEY.pdf", "doc_type": "Brochure", "correct_answer": "['US Dollar', 'Euro', 'Pound']", "answer_format": "List", "evidence_pages": "[8]", "evidence_sources": "['Figure']", "images": ["BRO-GL-MMONEY_concat1_0.jpg"], "preds": ["The currencies shown in the \"Multiple settlement options\" section of the document are:\n\n- USD (United States Dollar)\n- AUD (Australian Dollar)\n- SGD (Singapore Dollar)"], "gt": "False"}
{"idx": 128, "rm_tag": "single_rm", "question": "How many times do various sizes of the Eiffel Tower appear in the image?", "doc_id": "SnapNTell.pdf", "doc_type": "Academic paper", "correct_answer": "20", "answer_format": "Int", "evidence_pages": "[1, 6, 13, 15]", "evidence_sources": "['Figure']", "images": ["SnapNTell_concat1_0.jpg"], "preds": ["The image contains multiple instances of the Eiffel Tower, but it is not possible to count them accurately from the provided image alone. The Eiffel Tower appears in several different sizes and orientations across the pages, which makes an exact count challenging without a more detailed analysis or a specific tool designed for counting occurrences of objects within images. If you need an accurate count, you would likely need to use image processing software that can analyze and count specific objects within the image."], "gt": "False"}
{"idx": 129, "rm_tag": "single_rm", "question": "although few says that current military effort in Iraq and Syria is going well,  what are the more people's attitude in still believe that the U.S. and its allies in the ISIS flight in the end in 2015?", "doc_id": "12-15-15-ISIS-and-terrorism-release-final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "will definitely/probably succeed", "answer_format": "Str", "evidence_pages": "[18]", "evidence_sources": "['Pure-text (Plain-text)', 'Chart']", "images": ["12-15-15-ISIS-and-terrorism-release-final_concat1_0.jpg"], "preds": ["According to the infographic, in December 2015, about two-thirds (66%) of Republicans said they think the U.S. and its allies will either definitely or probably succeed in their campaign against Islamic militants in Iraq and Syria, while just 27% said they will definitely or probably fail. This indicates that a majority of Republicans had more long-term optimism about the success of the U.S. military campaign against ISIS by the end of 2015."], "gt": "False"}
{"idx": 130, "rm_tag": "single_rm", "question": "Regarding the global iOS breakdown, what percentage of the pie chart was iOS 9?", "doc_id": "reportq32015-151009093138-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "51%", "answer_format": "Float", "evidence_pages": "[7]", "evidence_sources": "['Chart']", "images": ["reportq32015-151009093138-lva1-app6891_95_concat1_0.jpg"], "preds": ["According to the pie chart in the \"Global iOS Breakdown\" section of the report, iOS 9 accounted for 8% of the total."], "gt": "False"}
{"idx": 131, "rm_tag": "single_rm", "question": "How many figures are there in total in the article?", "doc_id": "afe620b9beac86c1027b96d31d396407.pdf", "doc_type": "Financial report", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[2, 3, 4, 13]", "evidence_sources": "['Chart']", "images": ["afe620b9beac86c1027b96d31d396407_concat1_0.jpg"], "preds": ["There are 10 figures in total in the article. These figures appear to be charts, graphs, or tables that provide visual representations of data related to Godfrey Phillips India Limited's financial performance and other key metrics."], "gt": "False"}
{"idx": 132, "rm_tag": "single_rm", "question": "For the users with the safety approval of UL Listed and CSA , what is the second bullet point for safety?", "doc_id": "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", "doc_type": "Guidebook", "correct_answer": "Operate the unit on 100-240V AC only. ", "answer_format": "Str", "evidence_pages": "[25]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["91521110100M_4K_UHD_Display_User_Manual_V1.1_concat1_0.jpg"], "preds": ["The second bullet point for safety, as indicated in the image, is:\n\n- Do not place the unit near heat sources such as radiators or air ducts, or in a place subject to direct sunlight, excessive dust, mechanical vibration or shock.\n\nThis information is located under the \"Safety\" section in the \"Important Information\" chapter of the user manual."], "gt": "False"}
{"idx": 133, "rm_tag": "single_rm", "question": "What is thed dental telephone number for fullerton healthcare at NTU?", "doc_id": "SAO-StudentSupport_Guidebook-Content.pdf", "doc_type": "Guidebook", "correct_answer": "(65) 6790 8331", "answer_format": "Str", "evidence_pages": "[19]", "evidence_sources": "['Table']", "images": ["SAO-StudentSupport_Guidebook-Content_concat1_0.jpg"], "preds": ["The dental telephone number for Fullerton Healthcare@NTU is 657936794."], "gt": "False"}
{"idx": 134, "rm_tag": "single_rm", "question": "When using GPT-4 as the base language model, how many datasets does Logic-LM (without self-refinement) outperform the two baseline models in? ", "doc_id": "2023.findings-emnlp.248.pdf", "doc_type": "Academic paper", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[7]", "evidence_sources": "['Table']", "images": ["2023.findings-emnlp.248_concat1_0.jpg"], "preds": ["According to Table 2 in the paper, when using GPT-4 as the base language model, Logic-LM (without self-refinement) outperforms the two baseline models (Standard and CoT) across all five datasets: PrOntoQA, ProofWriter, FOLIO, LogicalDeduction, and AR-LSAT. The table shows that Logic-LM achieves higher accuracy than both baselines on each dataset, indicating superior performance."], "gt": "False"}
{"idx": 137, "rm_tag": "single_rm", "question": "What is the color on the watch that shows the aerobic zone?", "doc_id": "honor_watch_gs_pro.pdf", "doc_type": "Guidebook", "correct_answer": "yellow", "answer_format": "Str", "evidence_pages": "[23]", "evidence_sources": "['Figure']", "images": ["honor_watch_gs_pro_concat1_0.jpg"], "preds": ["The color on the watch that shows the aerobic zone is typically green. This is based on the standard color coding used by many fitness trackers and smartwatches to indicate different heart rate zones, where green usually represents the aerobic zone. However, the exact color can vary depending on the specific model and its user interface design."], "gt": "False"}
{"idx": 138, "rm_tag": "single_rm", "question": "How many figures are presented in the infrastructure section?", "doc_id": "Sinopolis-Chengdu.pdf", "doc_type": "Guidebook", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56]", "evidence_sources": "['Figure']", "images": ["Sinopolis-Chengdu_concat1_0.jpg"], "preds": ["The infrastructure section of the document contains 3 figures:\n\n1. A map showing the current network and the planned network.\n2. A figure depicting the train map.\n3. A photograph of a freight train set for Europe laden with Chinese goods.\n\nThese figures provide visual information about the city's transportation infrastructure, including its train system and logistics capabilities."], "gt": "False"}
{"idx": 139, "rm_tag": "single_rm", "question": "Compared to ViQuAE, how many more QA pairs does SnapNtell have?", "doc_id": "SnapNTell.pdf", "doc_type": "Academic paper", "correct_answer": "71980", "answer_format": "Int", "evidence_pages": "[5]", "evidence_sources": "['Table']", "images": ["SnapNTell_concat1_0.jpg"], "preds": ["SnapNtell has 7568 unique QA pairs, while ViQuAE has 2400 unique QA pairs. Therefore, SnapNtell has \\(7568 - 2400 = 5168\\) more unique QA pairs than ViQuAE."], "gt": "False"}
{"idx": 140, "rm_tag": "single_rm", "question": "How many multi-head self-attention layers does DETR's default structure have?", "doc_id": "2005.12872v3.pdf", "doc_type": "Academic paper", "correct_answer": "36", "answer_format": "Int", "evidence_pages": "[10, 22]", "evidence_sources": "[]", "images": ["2005.12872v3_concat1_0.jpg"], "preds": ["DETR's default structure has 6 multi-head self-attention layers."], "gt": "False"}
{"idx": 142, "rm_tag": "single_rm", "question": "According to the DETR PyTorch inference code, what is the output dimension of the linear_class layer?", "doc_id": "2005.12872v3.pdf", "doc_type": "Academic paper", "correct_answer": "92", "answer_format": "Int", "evidence_pages": "[26]", "evidence_sources": "['Table', 'Generalized-text (Layout)']", "images": ["2005.12872v3_concat1_0.jpg"], "preds": ["The output dimension of the `linear_class` layer in the DETR PyTorch inference code is `num_classes + 1`. This can be seen from the line:\n\n```python\nself.linear_class = nn.Linear(hidden_dim, num_classes + 1)\n```\n\nHere, `hidden_dim` is the hidden dimension size, and `num_classes` is the number of classes for which predictions are made. The `+ 1` accounts for the additional class label (often referred to as the \"no object\" or background class)."], "gt": "False"}
{"idx": 143, "rm_tag": "single_rm", "question": "The document represents which judges' opinions?", "doc_id": "7c3f6204b3241f142f0f8eb8e1fefe7a.pdf", "doc_type": "Administration/Industry file", "correct_answer": "Scott Bradley.", "answer_format": "Str", "evidence_pages": "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["7c3f6204b3241f142f0f8eb8e1fefe7a_concat1_0.jpg"], "preds": ["The document appears to be a legal opinion or court decision, as indicated by the formal structure and references to specific sections and rules. The judges whose opinions are represented in this document are:\n\n1. **Charles Slania** - Esq.\n2. **David L. Finger** - Esq.\n3. **Janet A. Wright** - Esq.\n\nThese individuals are listed at the beginning of the document under the section \"Re: Diane HANSON v. DELAWARE STATE PUBLIC INTEGRITY COMMISSION.\" They are likely the attorneys representing the parties involved in the case."], "gt": "False"}
{"idx": 144, "rm_tag": "single_rm", "question": "What are the program execution function names with blue background in our proposed model in the first figure in the paper?  Please write down the answer in a list format with ascending alphabetical order, e.g., [\"a\",\"b\"]", "doc_id": "2023.acl-long.386.pdf", "doc_type": "Academic paper", "correct_answer": "['Fact Checker']", "answer_format": "List", "evidence_pages": "[2]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["2023.acl-long.386_concat1_0.jpg"], "preds": ["The program execution function names with a blue background in the first figure of the paper are:\n\n1. [\"Answer\"]\n2. [\"Verify\"]\n3. [\"Predict\"]"], "gt": "False"}
{"idx": 145, "rm_tag": "single_rm", "question": "How many people with red shirt are there in the Page 14?", "doc_id": "welcome-to-nus.pdf", "doc_type": "Brochure", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[9]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["welcome-to-nus_concat1_0.jpg"], "preds": ["On Page 14 of the image, there are two people wearing red shirts."], "gt": "False"}
{"idx": 146, "rm_tag": "single_rm", "question": "What is the performance of filter-then-rerank methods (w.o. ensemble) on 50-shot TACREV dataset?", "doc_id": "2303.08559v2.pdf", "doc_type": "Academic paper", "correct_answer": "72.3%", "answer_format": "Float", "evidence_pages": "[9]", "evidence_sources": "['Table']", "images": ["2303.08559v2_concat1_0.jpg"], "preds": ["The performance of filter-then-rerank methods (w/o ensemble) on the 50-shot TACREV dataset is as follows:\n\n- **F1-score**: 62.7% for FewNERD\n- **F1-score**: 63.4% for TACREV\n- **F1-score**: 68.9% for ACE05\n\nThese scores indicate the effectiveness of the filter-then-rerank approach in improving the performance of few-shot information extraction tasks, especially when compared to baseline methods."], "gt": "False"}
{"idx": 149, "rm_tag": "single_rm", "question": "According to author's definition on conscious incompetence, when can a sentence map to both [NA] and a list of sub-graph knowledge?", "doc_id": "2310.05634v2.pdf", "doc_type": "Academic paper", "correct_answer": "If it can be partially verified by the knowledge graph G", "answer_format": "Str", "evidence_pages": "[2, 3]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["2310.05634v2_concat1_0.jpg"], "preds": ["According to the authors' definition in their paper, a sentence can map to both `[NA]` and a list of sub-graph knowledge if it entails one knowledge triplet from the absent knowledge set of the question. Specifically, this is illustrated in Figure 3 of the paper, where a sentence is marked with `[NA]` and also includes a list of sub-graphs that represent the minimum knowledge set required to answer the question. This indicates that the sentence is not providing any additional knowledge beyond what is already present in the retrieved knowledge graph, thus fitting the criteria for \"conscious incompetence.\""], "gt": "False"}
{"idx": 157, "rm_tag": "single_rm", "question": "How many figures are available in the entire document?", "doc_id": "f1f5242528411b262be447e61e2eb10f.pdf", "doc_type": "Academic paper", "correct_answer": "12", "answer_format": "Int", "evidence_pages": "[3, 4, 6, 7, 8, 9, 11, 12, 1418, 20]", "evidence_sources": "['Figure']", "images": ["f1f5242528411b262be447e61e2eb10f_concat1_0.jpg"], "preds": ["The document contains 12 figures, as indicated by the figure numbers at the bottom of each page. Here is the list of figures:\n\n1. Figure 1: Pathogenesis of genetic diseases.\n2. Figure 2: Classification of mutagens.\n3. Figure 3: Triplet repeat expansion in fragile X syndrome.\n4. Figure 4: Types & molecular mechanisms of point mutation.\n5. Figure 5: Splice site mutations.\n6. Figure 6: Types of chromosomal abnormalities.\n7. Figure 7: Structural chromosomal abnormalities.\n8. Figure 8: Isochromosome formation.\n9. Figure 9: Numerical chromosomal abnormalities.\n10. Figure 10: Consequences of genomic imprinting defects.\n11. Figure 11: DNA repair mechanisms.\n12. Figure 12: Transposons: methods of transposition.\n\nSo, there are 12 figures in total."], "gt": "True"}
{"idx": 158, "rm_tag": "single_rm", "question": "How many chart can be found in the first 10 pages of the report?\n", "doc_id": "PI_2017.10.04_Automation_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "9", "answer_format": "Int", "evidence_pages": "[4, 5, 6, 7, 8, 9, 10]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PI_2017.10.04_Automation_FINAL_concat1_0.jpg"], "preds": ["In the first 10 pages of the report, there are 9 charts visible. These charts appear to be part of the data visualization section, which is common in such reports to present findings and statistics in a visual format. The charts likely include bar graphs, pie charts, and other types of visual representations to help convey the information more effectively than text alone."], "gt": "True"}
{"idx": 163, "rm_tag": "single_rm", "question": "How many years after The Chapel Bridge was The Acropolis Museum completed? Return me an integer.", "doc_id": "SnapNTell.pdf", "doc_type": "Academic paper", "correct_answer": "676", "answer_format": "Int", "evidence_pages": "[19, 20]", "evidence_sources": "['Table']", "images": ["SnapNTell_concat1_0.jpg"], "preds": ["The Acropolis Museum was inaugurated on June 20, 2009, and The Chapel Bridge dates back to the 14th century. To find out how many years after The Chapel Bridge was The Acropolis Museum completed, we need to calculate the difference between these two dates.\n\nThe Acropolis Museum: 2009\nThe Chapel Bridge: 1333\n\n2009 - 1333 = 676\n\nSo, The Acropolis Museum was completed 676 years after The Chapel Bridge."], "gt": "True"}
{"idx": 165, "rm_tag": "single_rm", "question": "In 2014, respondents who believe traditional values are outdated increased by how many percentage points compared to 2011?", "doc_id": "asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "29%", "answer_format": "Float", "evidence_pages": "[10]", "evidence_sources": "['Chart']", "images": ["asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95_concat1_0.jpg"], "preds": ["In 2014, the percentage of respondents who believe that traditional values are outdated and belong in the past increased by 30 percentage points compared to 2011.\n\n- In 2011, 17% of respondents believed traditional values were outdated.\n- In 2014, 46% of respondents believed traditional values were outdated.\n\nThe increase is calculated as follows:\n\\[ 46\\% - 17\\% = 29\\% \\]\n\nTherefore, the increase is 29 percentage points."], "gt": "True"}
{"idx": 168, "rm_tag": "single_rm", "question": "Does randomly isolating non-label words within the last 5 layers have almost no impact? Answer 'yes' or 'no' directly.", "doc_id": "2305.14160v4.pdf", "doc_type": "Academic paper", "correct_answer": "Yes", "answer_format": "Str", "evidence_pages": "[4]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["2305.14160v4_concat1_0.jpg"], "preds": ["Yes"], "gt": "True"}
{"idx": 170, "rm_tag": "single_rm", "question": "How many figures in page 13 contains the left arrows? Write down the number in float format with 2 decimals.", "doc_id": "bdf54dxa.pdf", "doc_type": "Guidebook", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[14]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["bdf54dxa_concat1_0.jpg"], "preds": ["The figure on page 13 that contains the left arrows is labeled as \"Folding back the cup shelves.\" There are two left arrows in this figure.\n\nTherefore, the number of figures containing the left arrows is 2.00."], "gt": "True"}
{"idx": 173, "rm_tag": "single_rm", "question": "How many employees dose PWC have including Assurance, Consulting, Deals and Tax & Legal Services? ", "doc_id": "PWC_opportunity_of_lifetime.pdf", "doc_type": "Brochure", "correct_answer": "5100", "answer_format": "Int", "evidence_pages": "[7, 9, 11, 13]", "evidence_sources": "['Chart']", "images": ["PWC_opportunity_of_lifetime_concat1_0.jpg"], "preds": ["To determine the total number of employees at PwC for Assurance, Consulting, Deals, and Tax & Legal Services, we need to add up the employee numbers provided for each segment:\n\n1. **Assurance**: 1914 employees\n2. **Consulting**: 1816 employees\n3. **Deals**: 500 employees\n4. **Tax & Legal Services**: 870 employees\n\nNow, let's sum these numbers:\n\n\\[ 1914 + 1816 + 500 + 870 = 5100 \\]\n\nSo, PwC has a total of 5100 employees in Assurance, Consulting, Deals, and Tax & Legal Services combined."], "gt": "True"}
{"idx": 182, "rm_tag": "single_rm", "question": "According to the Pew Research Center 2015 National Survey of Latinos, what is the percentages of Foreign born Latinos most often uses the name of their origin country to describe themselves?", "doc_id": "Pew-Research-Center_Hispanic-Identity-Report_12.20.2017.pdf", "doc_type": "Research report / Introduction", "correct_answer": "65%", "answer_format": "Float", "evidence_pages": "[9, 10]", "evidence_sources": "['Chart', 'Generalized-text (Layout)']", "images": ["Pew-Research-Center_Hispanic-Identity-Report_12.20.2017_concat1_0.jpg"], "preds": ["According to the Pew Research Center 2015 National Survey of Latinos, among self-identified Hispanics, 65% of foreign-born Latinos most often use the name of their origin country to describe themselves."], "gt": "True"}
{"idx": 188, "rm_tag": "single_rm", "question": "How many end-use mobile electronic devices are contained in the Enterprise cloud boxes (web disks) in the flow chart? ", "doc_id": "obs-productdesc-en.pdf", "doc_type": "Guidebook", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[22]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["obs-productdesc-en_concat1_0.jpg"], "preds": ["The flow chart for \"Enterprise Cloud Boxes (Web Disks)\" shows that there are four end-use mobile electronic devices contained within it:\n\n1. Mobile phones\n2. PCs\n3. Tablets\n4. Cloud desktops\n\nSo, there are **four** end-use mobile electronic devices shown in the flow chart."], "gt": "True"}
{"idx": 189, "rm_tag": "single_rm", "question": "Does the mean significance of information flow from the text part to label words always greater than the mean significance of information flow from label words to the target position? Answer 'yes' or 'no' directly.", "doc_id": "2305.14160v4.pdf", "doc_type": "Academic paper", "correct_answer": "No", "answer_format": "Str", "evidence_pages": "[3, 4]", "evidence_sources": "['Pure-text (Plain-text)', 'Chart']", "images": ["2305.14160v4_concat1_0.jpg"], "preds": ["No"], "gt": "True"}
{"idx": 191, "rm_tag": "single_rm", "question": "By what percentage has gross profit increased in Q1 of 2023 compared to Q1 of 2022?", "doc_id": "q1-2023-bilibili-inc-investor-presentation.pdf", "doc_type": "Financial report", "correct_answer": "37%", "answer_format": "Float", "evidence_pages": "[5]", "evidence_sources": "['Chart']", "images": ["q1-2023-bilibili-inc-investor-presentation_concat1_0.jpg"], "preds": ["The gross profit for Q1 of 2023 is shown as 1,104 million RMB, and for Q1 of 2022, it is shown as 807 million RMB. To calculate the percentage increase:\n\n\\[ \\text{Percentage Increase} = \\left( \\frac{\\text{Gross Profit in Q1 2023} - \\text{Gross Profit in Q1 2022}}{\\text{Gross Profit in Q1 2022}} \\right) \\times 100 \\]\n\n\\[ \\text{Percentage Increase} = \\left( \\frac{1,104 - 807}{807} \\right) \\times 100 \\]\n\n\\[ \\text{Percentage Increase} = \\left( \\frac{297}{807} \\right) \\times 100 \\]\n\n\\[ \\text{Percentage Increase} \\approx 36.85\\% \\]\n\nSo, the gross profit has increased by approximately 36.85% in Q1 of 2023 compared to Q1 of 2022."], "gt": "True"}
{"idx": 197, "rm_tag": "single_rm", "question": "which age group experienced the greatest change in the percentage holding an \"unfavorable\" opinion of China between 2005 and 2010?", "doc_id": "PG_20.07.30_U.S.-Views-China_final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "50 and older", "answer_format": "Str", "evidence_pages": "[9]", "evidence_sources": "['Chart']", "images": ["PG_20.07.30_U.S.-Views-China_final_concat1_0.jpg"], "preds": ["The age group that experienced the greatest change in the percentage holding an \"unfavorable\" opinion of China between 2005 and 2010 is those aged 50 and older.\n\nFrom the graph labeled \"Negative opinion of China sharply increased in recent months,\" we can see:\n\n- In 2005, 34% of those aged 50 and older had an unfavorable opinion of China.\n- In 2010, this percentage increased to 61%.\n\nThis represents a significant increase of 27 percentage points over the five-year period from 2005 to 2010 for the 50 and older age group."], "gt": "True"}
{"idx": 201, "rm_tag": "single_rm", "question": "What is the ebay.in listing for shown in the image?", "doc_id": "ecommerceopportunityindia-141124010546-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "milk giving black young buffalo 20 liter per day", "answer_format": "Str", "evidence_pages": "[4]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["ecommerceopportunityindia-141124010546-conversion-gate01_95_concat1_0.jpg"], "preds": ["The eBay.in listing shown in the image is for \"milk giving black young buffalo 20 liter per day.\" The listing indicates that it is an item condition of \"Used\" and has a bid history with one bid placed. The seller's name is \"naveenahawat,\" and the item is listed under the category \"Everything Else > Miscellaneous.\" There is also a note about free shipping, and the item ships to India."], "gt": "True"}
{"idx": 203, "rm_tag": "single_rm", "question": "How many square miles does the Hamilton country covers according to the document? Give me an appropriate integer.", "doc_id": "698bba535087fa9a7f9009e172a7f763.pdf", "doc_type": "Research report / Introduction", "correct_answer": "538", "answer_format": "Int", "evidence_pages": "[11]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["698bba535087fa9a7f9009e172a7f763_concat1_0.jpg"], "preds": ["538"], "gt": "True"}
{"idx": 204, "rm_tag": "single_rm", "question": "In 2013, what is the total percentage of online adult users in the \"White, Non-Hispanic\" and \"Hispanic\" categories on the platform whose metrics include Followers, Tweet Clicks, Video Views, Tweet Reach, Engagement Rate, Completion Rate, Engagement: Mentions, Retweets, Likes, Top Tweet, Top Mention, Top Follower, Top Media Tweet, and Twitter Referral Traffic?", "doc_id": "measuringsuccessonfacebooktwitterlinkedin-160317142140_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "32", "answer_format": "Int", "evidence_pages": "[15, 18]", "evidence_sources": "['Table', 'Figure']", "images": ["measuringsuccessonfacebooktwitterlinkedin-160317142140_95_concat1_0.jpg"], "preds": ["To find the total percentage of online adult users in the \"White, Non-Hispanic\" and \"Hispanic\" categories for the given metrics, we need to add the percentages for these two groups from the table provided.\n\nFrom the table:\n- White, Non-Hispanic: 16%\n- Hispanic: 16%\n\nAdding these percentages together:\n\n16% (White, Non-Hispanic) + 16% (Hispanic) = 32%\n\nTherefore, the total percentage of online adult users in the \"White, Non-Hispanic\" and \"Hispanic\" categories for the given metrics is 32%."], "gt": "True"}
{"idx": 205, "rm_tag": "single_rm", "question": "How many lateral bar graphs are present in the document?", "doc_id": "c31e6580d0175ab3f9d99d1ff0bfa000.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "10", "answer_format": "Int", "evidence_pages": "[8, 9, 10, 11, 12, 13, 15, 16, 17, 18]", "evidence_sources": "['Chart']", "images": ["c31e6580d0175ab3f9d99d1ff0bfa000_concat1_0.jpg"], "preds": ["There are 10 lateral bar graphs present in the document. These graphs are distributed across various sections, such as \"Most Important Applications,\" \"Top Security Concerns of Computerized Medical Information,\" \"Technology Adoption Curve (Next Two Years),\" and others. Each graph compares data from two different years, typically labeled as \"2005 Results\" and \"2006 Results.\""], "gt": "True"}
{"idx": 210, "rm_tag": "single_rm", "question": "List the different senses in the ascending order of their bandwidth according to Page 20", "doc_id": "bigdatatrends-120723191058-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "['Taste', 'Hearing', 'Smell', 'Touch', 'Sight']", "answer_format": "List", "evidence_pages": "[20]", "evidence_sources": "['Figure']", "images": ["bigdatatrends-120723191058-phpapp02_95_concat1_0.jpg"], "preds": ["According to Page 20, the different senses in ascending order of their bandwidth are:\n\n1. Taste\n2. Smell\n3. Hearing\n4. Touch\n5. Sight"], "gt": "True"}
{"idx": 211, "rm_tag": "single_rm", "question": "How many square miles did the Hamilton country covers on year 1882? Return me a rounded integer.", "doc_id": "698bba535087fa9a7f9009e172a7f763.pdf", "doc_type": "Research report / Introduction", "correct_answer": "538", "answer_format": "Int", "evidence_pages": "[11]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["698bba535087fa9a7f9009e172a7f763_concat1_0.jpg"], "preds": ["The document does not provide the exact number of square miles for Hamilton County in 1882. However, it mentions that Hamilton County covers approximately 538 square miles. Therefore, rounding to the nearest whole number, the answer is:\n\n538 square miles."], "gt": "True"}
{"idx": 212, "rm_tag": "single_rm", "question": "According to the definition in the paper, how many possible combinations of relationships can there be between two events?", "doc_id": "2310.09158v1.pdf", "doc_type": "Academic paper", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[1, 2, 3]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["2310.09158v1_concat1_0.jpg"], "preds": ["According to the paper, there are 6 possible combinations of relationships that can exist between two events:\n\n1. NO_COREFERENCE, NO_CAUSAL, NO_SUBEVENT\n2. NO_COREFERENCE, NO_CAUSAL, PRECONDITION, NO_SUBEVENT\n3. NO_COREFERENCE, NO_CAUSAL, PRECONDITION, SUBEVENT\n4. NO_COREFERENCE, NO_CAUSAL, TEMPORAL, NO_SUBEVENT\n5. NO_COREFERENCE, NO_CAUSAL, TEMPORAL, SUBEVENT\n6. NO_COREFERENCE, CAUSE, NO_SUBEVENT\n\nThese combinations are derived from the logical constraints defined for the relationships between two events: coreference, temporal, causal, and subevent relations."], "gt": "True"}
{"idx": 217, "rm_tag": "single_rm", "question": "How many Tweets are attributed to Germanwings, Lufthansa, and Airbus in total?", "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "41", "answer_format": "Int", "evidence_pages": "[16]", "evidence_sources": "['Table']", "images": ["germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95_concat1_0.jpg"], "preds": ["The total number of Tweets attributed to Germanwings, Lufthansa, and Airbus is 31.\n\n- Germanwings: 24 Tweets\n- Lufthansa: 12 Tweets\n- Airbus: 5 Tweets\n\nAdding these together:\n24 + 12 + 5 = 41 Tweets\n\nHowever, the image shows a total of 31 Tweets, which might be a typo or a different interpretation of the data. The correct sum based on the provided numbers is 41 Tweets."], "gt": "True"}
{"idx": 218, "rm_tag": "single_rm", "question": "How many tables include \"F1\" as a metric?", "doc_id": "2310.05634v2.pdf", "doc_type": "Academic paper", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[7, 9]", "evidence_sources": "['Table']", "images": ["2310.05634v2_concat1_0.jpg"], "preds": ["There are three tables that include \"F1\" as a metric:\n\n1. Table 3: Precision, Recall, and F1-Score for [NA].\n2. Table 4: Evaluation on generated text quality.\n3. Table 7: Comparison of evaluation results on General and Specific question setting.\n\nSo, the answer is **three** tables."], "gt": "True"}
{"idx": 219, "rm_tag": "single_rm", "question": "What's the average value of all orange bars in the chart about the percentage of U.S. adults with Hispanic ancestry who self-identify as Hispanic or Non-Hispanic?", "doc_id": "Pew-Research-Center_Hispanic-Identity-Report_12.20.2017.pdf", "doc_type": "Research report / Introduction", "correct_answer": "21", "answer_format": "Int", "evidence_pages": "[5]", "evidence_sources": "['Chart']", "images": ["Pew-Research-Center_Hispanic-Identity-Report_12.20.2017_concat1_0.jpg"], "preds": ["To find the average value of all orange bars in the chart about the percentage of U.S. adults with Hispanic ancestry who self-identify as Hispanic or Non-Hispanic, we need to follow these steps:\n\n1. Identify all the orange bars in the chart.\n2. Sum up the values of these orange bars.\n3. Divide the sum by the number of orange bars.\n\nLet's go through this step-by-step:\n\n### Step 1: Identify the orange bars\nThe orange bars represent the percentage of U.S. adults with Hispanic ancestry who do not identify as Hispanic. These bars are located at the bottom of the chart.\n\n### Step 2: Sum up the values of these orange bars\nThe values for each bar are:\n- Foreign-born: 3%\n- Second generation: 8%\n- Third generation: 23%\n- Fourth or higher generation: 50%\n\nSumming these values:\n\\[ 3 + 8 + 23 + 50 = 84 \\]\n\n### Step 3: Divide the sum by the number of orange bars\nThere are 4 orange bars, so we divide the sum by 4:\n\\[ \\frac{84}{4} = 21 \\]\n\nTherefore, the average value of all orange bars is **21%**."], "gt": "True"}
{"idx": 221, "rm_tag": "single_rm", "question": "What is the percentage difference between the proportion of people who believe the U.S. should help other countries deal with their problems and those who believe the U.S. has done a poor job in dealing with the coronavirus outbreak?\n\n", "doc_id": "PG_2020.05.21_International-Cooperation-COVID_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "13%", "answer_format": "Float", "evidence_pages": "[11, 12]", "evidence_sources": "['Chart']", "images": ["PG_2020.05.21_International-Cooperation-COVID_FINAL_concat1_0.jpg"], "preds": ["The image does not provide the exact percentage difference between the proportion of people who believe the U.S. should help other countries deal with their problems and those who believe the U.S. has done a poor job in dealing with the coronavirus outbreak. However, it does show that 60% of Republicans say the U.S. should deal with its own problems and let other countries manage as best they can, while only 47% say the U.S. has done an excellent or good job in dealing with the coronavirus outbreak.\n\nTo find the percentage difference:\n- Percentage of Republicans who think the U.S. should help others: 60%\n- Percentage of Republicans who think the U.S. has done well: 47%\n\nPercentage difference = |60% - 47%| = 13%\n\nSo, the percentage difference is 13%."], "gt": "True"}
{"idx": 225, "rm_tag": "single_rm", "question": "What does a point mutation of the codon TTT or thymine-thymine define?", "doc_id": "f1f5242528411b262be447e61e2eb10f.pdf", "doc_type": "Academic paper", "correct_answer": "phenylalanine", "answer_format": "Str", "evidence_pages": "[7]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["f1f5242528411b262be447e61e2eb10f_concat1_0.jpg"], "preds": ["A point mutation of the codon TTT or thymine-thymine defines phenylalanine. This is because the codon TTT codes for the amino acid phenylalanine in the genetic code."], "gt": "True"}
{"idx": 230, "rm_tag": "single_rm", "question": "How many districts were sampled during Wave III?", "doc_id": "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "44", "answer_format": "Int", "evidence_pages": "[9]", "evidence_sources": "['Table']", "images": ["finalmediafindingspdf-141228031149-conversion-gate02_95_concat1_0.jpg"], "preds": ["During Wave III, 44 districts were sampled. This can be seen in the \"Sample Distribution (District Level)\" section of the infographic, where it states that 44 districts were sampled for Wave III."], "gt": "True"}
{"idx": 232, "rm_tag": "single_rm", "question": "As of Q3 2015, are there more active Instagram users in Vietnam, or are there more fans for Appota's fan page? Directly answer 'Instagram' or 'Appota'.", "doc_id": "reportq32015-151009093138-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Appota", "answer_format": "Str", "evidence_pages": "[28, 33]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["reportq32015-151009093138-lva1-app6891_95_concat1_0.jpg"], "preds": ["Appota"], "gt": "True"}
{"idx": 239, "rm_tag": "single_rm", "question": "What is the color of Kailali in the map of Page 12?", "doc_id": "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "yellow", "answer_format": "Str", "evidence_pages": "[12]", "evidence_sources": "['Figure']", "images": ["finalmediafindingspdf-141228031149-conversion-gate02_95_concat1_0.jpg"], "preds": ["The color of Kailali in the map on page 12 is yellow."], "gt": "True"}
{"idx": 240, "rm_tag": "single_rm", "question": "In the context of the College Board Search Platform, is market CA03 considered part of the San Francisco Bay Area? Answer 'yes' or 'no'.", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "No", "answer_format": "Str", "evidence_pages": "[9, 10]", "evidence_sources": "['Generalized-text (Layout)', 'Table']", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "preds": ["No."], "gt": "True"}
{"idx": 244, "rm_tag": "single_rm", "question": "TOP security concerns of computerized medical information DIAGRAM DISCUSSED ABOUT WHICH YEAR? List all of them like ['2014', '2018', '2020'].", "doc_id": "c31e6580d0175ab3f9d99d1ff0bfa000.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "[2005, 2006]", "answer_format": "List", "evidence_pages": "[12]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["c31e6580d0175ab3f9d99d1ff0bfa000_concat1_0.jpg"], "preds": ["The top security concerns of computerized medical information diagram discussed in the image is from the year 2006. The relevant section is titled \"Top Security Concerns of Computerized Medical Information\" and it compares results from 2005 and 2006.\n\nHere is the list of top security concerns for 2006:\n\n- Internal Breach of Security\n- Bar Coded Medication Management\n- Computerized Practitioner Order Entry (CPOE)\n- Enterprise-Wide Clinical Information Sharing\n- Clinical Data Repository\n- Point-of-Care Decision Support\n- Digital Picture Archiving (PACS)\n- Ambulatory Systems"], "gt": "True"}
{"idx": 246, "rm_tag": "single_rm", "question": "What's the averaged percentage of Latinos (Foreign born, Second generation, Third or higher generation) say all or most of their friends are Latinos?", "doc_id": "Pew-Research-Center_Hispanic-Identity-Report_12.20.2017.pdf", "doc_type": "Research report / Introduction", "correct_answer": "56.34%", "answer_format": "Float", "evidence_pages": "[21]", "evidence_sources": "['Chart']", "images": ["Pew-Research-Center_Hispanic-Identity-Report_12.20.2017_concat1_0.jpg"], "preds": ["To find the averaged percentage of Latinos who say all or most of their friends are Latinos across the three generations (Foreign born, Second generation, and Third or higher generation), we need to sum up the percentages for each group and then divide by the number of groups.\n\nHere are the percentages:\n- Foreign born: 77%\n- Second generation: 55%\n- Third or higher generation: 37%\n\nNow, let's calculate the average:\n\n\\[\n\\text{Average} = \\frac{(77 + 55 + 37)}{3}\n\\]\n\n\\[\n\\text{Average} = \\frac{169}{3} \\approx 56.33\\%\n\\]\n\nSo, the averaged percentage of Latinos who say all or most of their friends are Latinos is approximately 56.33%."], "gt": "True"}
{"idx": 247, "rm_tag": "single_rm", "question": "How many incorrect postures of measuring blood pressure are demostrated if this guidebook?", "doc_id": "watch_d.pdf", "doc_type": "Guidebook", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[15]", "evidence_sources": "['Figure']", "images": ["watch_d_concat1_0.jpg"], "preds": ["The image shows 8 incorrect postures for measuring blood pressure, as indicated by the \"X\" marks in the diagram on the right side of the page. These postures are demonstrated to illustrate how not to position oneself when measuring blood pressure to ensure accurate results."], "gt": "True"}
{"idx": 250, "rm_tag": "single_rm", "question": "In figure 5, what is the color of the line that has no intersection with any other line?", "doc_id": "2310.05634v2.pdf", "doc_type": "Academic paper", "correct_answer": "red", "answer_format": "Str", "evidence_pages": "[8]", "evidence_sources": "['Chart']", "images": ["2310.05634v2_concat1_0.jpg"], "preds": ["In Figure 5, the line that has no intersection with any other line is the one labeled \"gold.\" This line is represented by a solid red color and does not intersect with any other lines in the graph."], "gt": "True"}
{"idx": 251, "rm_tag": "single_rm", "question": "Among all the pictures, in which page the picture contains the most number of people? Give me the page no. as an integer.", "doc_id": "0b85477387a9d0cc33fca0f4becaa0e5.pdf", "doc_type": "Administration/Industry file", "correct_answer": "9", "answer_format": "Int", "evidence_pages": "[9]", "evidence_sources": "['Figure']", "images": ["0b85477387a9d0cc33fca0f4becaa0e5_concat1_0.jpg"], "preds": ["The page that contains the most number of people is page 9."], "gt": "True"}
{"idx": 252, "rm_tag": "single_rm", "question": "What is the title of the page that contains a screenshot?", "doc_id": "transform-software-delivery-with-valueedge-brochure.pdf", "doc_type": "Brochure", "correct_answer": "ValueEdge insights", "answer_format": "Str", "evidence_pages": "[10]", "evidence_sources": "['Figure']", "images": ["transform-software-delivery-with-valueedge-brochure_concat1_0.jpg"], "preds": ["The title of the page that contains a screenshot is \"ValueEdge insights.\""], "gt": "True"}
{"idx": 254, "rm_tag": "single_rm", "question": "How many steps are needed for editing an SMS?", "doc_id": "mi_phone.pdf", "doc_type": "Guidebook", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[22]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["mi_phone_concat1_0.jpg"], "preds": ["To edit an SMS, the following steps are typically required:\n\n1. Tap on the \"Compose\" button.\n2. Add a recipient by directly typing their phone number or selecting from the contact list.\n3. Type the message in the text field.\n4. Tap the \"Send\" button to send the edited SMS.\n\nSo, there are 4 steps needed to edit an SMS."], "gt": "True"}
{"idx": 259, "rm_tag": "single_rm", "question": "According to this report, which group is greater in population in 2018? Republican who are hispanic, or no leans who are male?", "doc_id": "Independents-Report.pdf", "doc_type": "Research report / Introduction", "correct_answer": "no leans who are male", "answer_format": "Str", "evidence_pages": "[3, 22]", "evidence_sources": "['Pure-text (Plain-text)', 'Table']", "images": ["Independents-Report_concat1_0.jpg"], "preds": ["According to the report, the group that is greater in population in 2018 is \"No leans who are male.\" The table on page 23 of the report shows the demographic breakdown for each group. For males:\n\n- Republican Hispanic: 7%\n- No lean Male: 56%\n\nThe \"No lean Male\" category has a significantly higher percentage (56%) compared to the \"Republican Hispanic\" category (7%). Therefore, the \"No lean Male\" group is greater in population in 2018."], "gt": "True"}
{"idx": 262, "rm_tag": "single_rm", "question": "What is the FEA SRM Service type for Instrumentation and testing?", "doc_id": "936c0e2c2e6c8e0c07c51bfaf7fd0a83.pdf", "doc_type": "Administration/Industry file", "correct_answer": "Development and integration", "answer_format": "Str", "evidence_pages": "[7]", "evidence_sources": "[]", "images": ["936c0e2c2e6c8e0c07c51bfaf7fd0a83_concat1_0.jpg"], "preds": ["The FEA SRM Service type for \"Instrumentation and Testing\" in the image is \"Development and Integration.\""], "gt": "True"}
{"idx": 265, "rm_tag": "single_rm", "question": "How many signatures are appeared on the page 15 and page 16? Write the answer in the float format.", "doc_id": "3276a5b991c49cf5f9a4af0f7d6fce67.pdf", "doc_type": "Administration/Industry file", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[15, 16]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["3276a5b991c49cf5f9a4af0f7d6fce67_concat1_0.jpg"], "preds": ["There is one signature on both page 15 and page 16 of the document. Therefore, the total number of signatures is 2."], "gt": "True"}
{"idx": 266, "rm_tag": "single_rm", "question": "How many blogs mentioned Germanwings?", "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "18", "answer_format": "Int", "evidence_pages": "[18]", "evidence_sources": "['Figure']", "images": ["germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95_concat1_0.jpg"], "preds": ["According to the image, there were 18 blogs that mentioned Germanwings."], "gt": "True"}
{"idx": 273, "rm_tag": "single_rm", "question": "How many QR codes are shown in the \"Academics and Related Resources\" part of this guidebook?", "doc_id": "guojixueshengshenghuozhinanyingwen9.1.pdf", "doc_type": "Guidebook", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[23, 25, 26]", "evidence_sources": "['Figure']", "images": ["guojixueshengshenghuozhinanyingwen9.1_concat1_0.jpg"], "preds": ["In the \"Academics and Related Resources\" section of the guidebook, there are 6 QR codes shown."], "gt": "True"}
{"idx": 275, "rm_tag": "single_rm", "question": "What is the percentage of people who do not go online?", "doc_id": "PIP_Seniors-and-Tech-Use_040314.pdf", "doc_type": "Research report / Introduction", "correct_answer": "41", "answer_format": "Int", "evidence_pages": "[5]", "evidence_sources": "[]", "images": ["PIP_Seniors-and-Tech-Use_040314_concat1_0.jpg"], "preds": ["According to the infographic, 41% of older adults do not go online."], "gt": "True"}
{"idx": 277, "rm_tag": "single_rm", "question": "What agency component costs the most of fund in the SRM Table?", "doc_id": "936c0e2c2e6c8e0c07c51bfaf7fd0a83.pdf", "doc_type": "Administration/Industry file", "correct_answer": "Software Development", "answer_format": "Str", "evidence_pages": "[5, 6, 7, 8, 9, 10]", "evidence_sources": "[]", "images": ["936c0e2c2e6c8e0c07c51bfaf7fd0a83_concat1_0.jpg"], "preds": ["To determine which agency component costs the most in the SRM (Service Component Reference Model) table, we need to look at the \"BY Funding Percentage\" column for each component. The component with the highest percentage in this column will be the one that costs the most.\n\nUpon examining the SRM table, the component \"Software Development\" has the highest \"BY Funding Percentage\" at 17%.\n\nTherefore, the agency component that costs the most in the SRM table is \"Software Development.\""], "gt": "True"}
{"idx": 281, "rm_tag": "single_rm", "question": "Does the  information flow from label words to the target position dominate in all layers? Answer 'yes' or 'no' directly.", "doc_id": "2305.14160v4.pdf", "doc_type": "Academic paper", "correct_answer": "No", "answer_format": "Str", "evidence_pages": "[3, 4]", "evidence_sources": "['Pure-text (Plain-text)', 'Chart']", "images": ["2305.14160v4_concat1_0.jpg"], "preds": ["No"], "gt": "True"}
{"idx": 283, "rm_tag": "single_rm", "question": "Is there a signature present on the last page? Directly answer 'yes' or 'no'.", "doc_id": "e639029d16094ea71d964e2fb953952b.pdf", "doc_type": "Administration/Industry file", "correct_answer": "no", "answer_format": "Str", "evidence_pages": "[20]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["e639029d16094ea71d964e2fb953952b_concat1_0.jpg"], "preds": ["No"], "gt": "True"}
{"idx": 284, "rm_tag": "single_rm", "question": "According to this report, among the Hispanics shaped by four current personal financial situation, which situation involves the highest percentage that expects their future financial situation to get a lot worse?", "doc_id": "PH_2016.06.08_Economy-Final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Poor Financial Condition", "answer_format": "Str", "evidence_pages": "[16]", "evidence_sources": "['Chart']", "images": ["PH_2016.06.08_Economy-Final_concat1_0.jpg"], "preds": ["According to the report, among the Hispanics shaped by their current personal financial situation, those with a \"poor financial condition\" expect their future financial situation to get a lot worse at the highest percentage. Specifically:\n\n- Excellent financial condition: 5%\n- Good financial condition: 3%\n- Only fair financial condition: 17%\n- Poor financial condition: 15%\n\nThus, the \"poor financial condition\" category has the highest percentage (15%) expecting their future financial situation to get a lot worse."], "gt": "True"}
{"idx": 287, "rm_tag": "single_rm", "question": "Besides the two companies on page 42, what is the contact phone number of another company? Please write in string format.", "doc_id": "earthlinkweb-150213112111-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "+1-615-591-2955", "answer_format": "Str", "evidence_pages": "[42, 43]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["earthlinkweb-150213112111-conversion-gate02_95_concat1_0.jpg"], "preds": ["+1-615-591-2955"], "gt": "True"}
{"idx": 288, "rm_tag": "single_rm", "question": "How many layers does the neural network mentioned in the PPT for distinguishing faces have?", "doc_id": "catvsdogdlpycon15se-150512122612-lva1-app6891_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[29, 30, 32]", "evidence_sources": "['Figure']", "images": ["catvsdogdlpycon15se-150512122612-lva1-app6891_95_concat1_0.jpg"], "preds": ["The neural network mentioned in the PPT for distinguishing faces has 5 layers. The layers are as follows:\n\n1. Input Layer\n2. Convolutional Layer 1 (conv1)\n3. Convolutional Layer 2 (conv2)\n4. Convolutional Layer 3 (conv3)\n5. Fully Connected Layer (fc6)\n\nEach of these layers is part of the architecture used to process and classify images, with the fully connected layer being the output layer that makes the final prediction."], "gt": "True"}
{"idx": 289, "rm_tag": "single_rm", "question": "How many times does the image of a bear appear in the PPT?", "doc_id": "catvsdogdlpycon15se-150512122612-lva1-app6891_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[9, 28]", "evidence_sources": "['Figure']", "images": ["catvsdogdlpycon15se-150512122612-lva1-app6891_95_concat1_0.jpg"], "preds": ["The image of a bear appears twice in the PPT. It is used as a visual aid in two different sections:\n\n1. In the section titled \"BEAR WITH ME,\" where it is accompanied by the text \"Code is ahead, soon... I promise :)\".\n2. In another section with the text \"> Features = Awesomeness\" and a diagram showing a grid with images of dogs and cats.\n\nSo, the image of a bear appears 2 times in the PPT."], "gt": "True"}
{"idx": 292, "rm_tag": "single_rm", "question": "According to the report, which one is greater in population in the survey? Foreign born Latinos, or the Latinos interviewed by cellphone?", "doc_id": "PH_2016.06.08_Economy-Final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Latinos interviewed by cellphone", "answer_format": "Str", "evidence_pages": "[19, 20]", "evidence_sources": "['Table']", "images": ["PH_2016.06.08_Economy-Final_concat1_0.jpg"], "preds": ["According to the report, the Latinos interviewed by cellphone are greater in population in the survey. The methodology section of the report mentions that the sample was corrected for within-household selection in landline interviews, which depended upon the number of Latino adults living in the household. It also notes that the sample was corrected for the oversampling of telephone number exchanges known to have higher densities of Latinos and the corresponding undersampling of exchanges known to have lower densities of Latinos.\n\nThe report does not provide specific numbers for the foreign-born Latinos versus those interviewed by cellphone, but it does state that the sample was corrected for these factors to ensure an accurate representation of the national Hispanic population. Therefore, based on the methodology provided, the Latinos interviewed by cellphone would be greater in population in the survey."], "gt": "True"}
{"idx": 294, "rm_tag": "single_rm", "question": "How many figures in this document show the old gate of Tsinghua (\"Er Xiao Men\" in Chinese)?", "doc_id": "guojixueshengshenghuozhinanyingwen9.1.pdf", "doc_type": "Guidebook", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Figure']", "images": ["guojixueshengshenghuozhinanyingwen9.1_concat1_0.jpg"], "preds": ["There is one figure in this document that shows the old gate of Tsinghua University, which is referred to as \"Er Xiao Men\" in Chinese. This figure can be found on page 19 of the document."], "gt": "True"}
{"idx": 298, "rm_tag": "single_rm", "question": "How many black arrows are part of the DISCIPLINED AGILE logo?", "doc_id": "disciplined-agile-business-analysis-160218012713_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[1]", "evidence_sources": "['Figure']", "images": ["disciplined-agile-business-analysis-160218012713_95_concat1_0.jpg"], "preds": ["The DISCIPLINED AGILE logo consists of two black arrows pointing upwards."], "gt": "True"}
{"idx": 299, "rm_tag": "single_rm", "question": "How many numbers with blue color are mentioned in the example figure of question-guidue reasoning?", "doc_id": "2310.07609v1.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[1]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["2310.07609v1_concat1_0.jpg"], "preds": ["In the example figure of question-guided reasoning, there are two numbers with blue color:\n\n1. \"2,212\" which is part of the claim: \"Sunlight can travel to the deepest part of the Black Sea.\"\n2. \"1,000\" which appears in the answer to the question: \"How far can sunlight penetrate water?\"\n\nSo, there are 2 numbers with blue color mentioned in the example figure."], "gt": "True"}
{"idx": 304, "rm_tag": "pair_rm", "question": "Among the tables in Appendix, how many columns does table has the largest layout contain? Write the answer in int format.", "doc_id": "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", "doc_type": "Guidebook", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[31, 32]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)', 'Table']", "images": ["91521110100M_4K_UHD_Display_User_Manual_V1.1_concat1_0.jpg"], "gt": 2, "preds": ["A thorough analysis of the Appendix tables is required to determine the maximum number of columns. The Appendix contains multiple tables with technical specifications, particularly in the final pages of the document. By measuring the horizontal span of each table layout and counting the column dividers, we can identify the table with the largest footprint. The most extensive table appears to be the one presenting dimensions and compatibility information, which contains sub-sections within its structure. Upon careful examination of the column structure including nested sections, this table actually contains 5 distinct columns when considering both primary and secondary layout divisions across its full width. The answer is 5.", "To determine the number of columns in the largest table layout within the Appendix, we need to examine all tables labeled as Appendix content in the document. The Appendix sections contain various technical specifications organized in tabular formats. By systematically evaluating each table's width and structure across the Appendix pages, we can identify which one has the most columns in its layout. The largest table appears in the technical specifications section, detailing product dimensions and features. After comparing all tables in the Appendix, this particular table spans 3 columns in its layout structure. The answer is 3."], "pair_rm_len_type": "long"}
{"idx": 305, "rm_tag": "pair_rm", "question": "Among the tables in Appendix, how many columns does table has the largest layout contain? Write the answer in int format.", "doc_id": "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", "doc_type": "Guidebook", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[31, 32]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)', 'Table']", "images": ["91521110100M_4K_UHD_Display_User_Manual_V1.1_concat1_0.jpg"], "gt": 1, "preds": ["The table with the largest layout in the Appendix contains 3 columns.", "The table with the largest layout in the Appendix contains 5 columns."], "pair_rm_len_type": "short"}
{"idx": 307, "rm_tag": "pair_rm", "question": "How many coffee quality levels can the coffee machine be set to?", "doc_id": "User_Manual_1500S_Classic_EN.pdf", "doc_type": "Guidebook", "correct_answer": "7", "answer_format": "Int", "evidence_pages": "[39]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["User_Manual_1500S_Classic_EN_concat1_0.jpg"], "gt": 2, "preds": ["The coffee machine can be set to 5 coffee quality levels.", "The coffee machine can be set to 7 coffee quality levels."], "pair_rm_len_type": "short"}
{"idx": 309, "rm_tag": "pair_rm", "question": "How many distinct button functions are there during a workout?", "doc_id": "honor_watch_gs_pro.pdf", "doc_type": "Guidebook", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[12, 13]", "evidence_sources": "['Table']", "images": ["honor_watch_gs_pro_concat1_0.jpg"], "gt": 1, "preds": ["There are 5 distinct button functions during a workout.", "There are 7 distinct button functions during a workout."], "pair_rm_len_type": "short"}
{"idx": 310, "rm_tag": "pair_rm", "question": "What percentage of the party that holds the highest total percentage of good policy ideas and high ethical standards reported that they followed the news about congressional elections in their state very closely in the survey of U.S. adults conducted from April 25 to May 1, 2018?", "doc_id": "05-03-18-political-release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "21%", "answer_format": "Int", "evidence_pages": "[11, 13]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["05-03-18-political-release_concat1_0.jpg"], "gt": 1, "preds": ["The question requires identifying the party with the highest combined percentage of \"good policy ideas\" and \"high ethical standards\" from the 2018 Pew survey. Cross-referencing the document’s data on party evaluations, the Democratic Party leads in both categories (e.g., 47% for policy ideas and 45% for ethical standards, totaling 92%, vs. Republicans’ lower combined score). Next, locate the subset of this party reporting they \"followed news about congressional elections very closely.\" The survey specifies this metric as 21%. Final answer: **21%**.", "To solve, first determine which party holds the highest total for \"good policy ideas\" and \"high ethical standards.\" The data shows Republicans lead with 51% (policy) and 50% (ethics), totaling 101%, surpassing Democrats. Using the corresponding section on news consumption, 43% of Republican respondents indicated they followed election coverage \"very closely.\" This aligns with the party’s dominant standing in the metrics. Final answer: **43%**."], "pair_rm_len_type": "long"}
{"idx": 311, "rm_tag": "pair_rm", "question": "What percentage of the party that holds the highest total percentage of good policy ideas and high ethical standards reported that they followed the news about congressional elections in their state very closely in the survey of U.S. adults conducted from April 25 to May 1, 2018?", "doc_id": "05-03-18-political-release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "21%", "answer_format": "Int", "evidence_pages": "[11, 13]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["05-03-18-political-release_concat1_0.jpg"], "gt": 2, "preds": ["79% of the party that holds the highest total percentage of good policy ideas and high ethical standards reported that they followed the news about congressional elections in their state very closely in the survey of U.S. adults conducted from April 25 to May 1, 2018.", "21% of the party that holds the highest total percentage of good policy ideas and high ethical standards reported that they did not follow the news about congressional elections in their state very closely in the survey of U.S. adults conducted from April 25 to May 1, 2018."], "pair_rm_len_type": "short"}
{"idx": 312, "rm_tag": "pair_rm", "question": "How much higher is the accuracy of PaLM-2L + RAG compared to PaLM-2L on TimeQA?", "doc_id": "STEPBACK.pdf", "doc_type": "Academic paper", "correct_answer": "15.9%", "answer_format": "Float", "evidence_pages": "[6]", "evidence_sources": "['Table']", "images": ["STEPBACK_concat1_0.jpg"], "gt": 2, "preds": ["To calculate the accuracy difference between PaLM-2L + RAG and PaLM-2L on TimeQA, we examine the document's comprehensive results in the model comparison section. TimeQA serves as a key benchmark for temporal reasoning capabilities. The document shows PaLM-2L achieves 67.5% accuracy on this dataset, with the RAG-enhanced version reaching 82.4%. Proper analysis requires subtracting the base model's score from the augmented model's performance (82.4% - 67.5% = 14.9%). This represents the improvement gained by integrating retrieval augmentation for handling temporal relationships. The calculation demonstrates a meaningful but slightly more modest improvement from RAG implementation. The final answer is 14.9%.", "To determine the accuracy difference between PaLM-2L + RAG and PaLM-2L on TimeQA, we analyze the document's experimental results section which presents comparative model performance on temporal reasoning benchmarks. The TimeQA dataset specifically evaluates how well models handle time-related questions, where retrieval augmentation provides significant context benefits. In the model evaluation table, PaLM-2L's baseline accuracy is shown as 64.1% while the improved PaLM-2L + RAG variant achieves 80.0%. Subtracting the base model's performance from the enhanced version (80.0% - 64.1%) yields the precise improvement value. This calculation demonstrates the tangible benefits of RAG integration for temporal question answering. The final answer is 15.9%."], "pair_rm_len_type": "long"}
{"idx": 313, "rm_tag": "pair_rm", "question": "How much higher is the accuracy of PaLM-2L + RAG compared to PaLM-2L on TimeQA?", "doc_id": "STEPBACK.pdf", "doc_type": "Academic paper", "correct_answer": "15.9%", "answer_format": "Float", "evidence_pages": "[6]", "evidence_sources": "['Table']", "images": ["STEPBACK_concat1_0.jpg"], "gt": 1, "preds": ["The accuracy of PaLM-2L + RAG is 15.9% higher than that of PaLM-2L on TimeQA.", "The accuracy of PaLM-2L + RAG is 17.0% higher than that of PaLM-2L on TimeQA."], "pair_rm_len_type": "short"}
{"idx": 315, "rm_tag": "pair_rm", "question": "Who Visited the U.S. Naval Medical Research centre on November 29, 2012 in the document?", "doc_id": "0b85477387a9d0cc33fca0f4becaa0e5.pdf", "doc_type": "Administration/Industry file", "correct_answer": "Tim Ziemer", "answer_format": "Str", "evidence_pages": "[1]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["0b85477387a9d0cc33fca0f4becaa0e5_concat1_0.jpg"], "gt": 2, "preds": ["Tom Ziemer visited the U.S. Naval Medical Research centre on November 29, 2012 in the document.", "Tim Ziemer visited the U.S. Naval Medical Research centre on November 29, 2012 in the document."], "pair_rm_len_type": "short"}
{"idx": 316, "rm_tag": "pair_rm", "question": "How many more emojis does the right subfig have than the left subfig in Figure 9?", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "15", "answer_format": "Int", "evidence_pages": "[16]", "evidence_sources": "['Figure']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing Figure 9 requires careful enumeration of emojis in both subfigures while accounting for potential visual overlaps that might obscure some symbols. The left subfigure contains 23 distinct emojis when counted systematically from top to bottom. The right subfigure, though seemingly larger, actually contains only 33 emojis after accounting for repeated patterns that might be misinterpreted as separate emojis. Subtracting the left subfigure count (23) from the right subfigure count (33) gives a difference of 10. This approach considers the contextual placement of emojis and verifies each count through cross-referencing with adjacent elements to ensure no duplicates or omissions. The right subfig has 10 more emojis than the left subfig in Figure 9.", "To determine the difference in emoji count between the subfigures in Figure 9, a systematic visual count of both compartments is essential. The methodology involves isolating each subfigure within Figure 9 and enumerating every emoji present, taking care to distinguish between identical symbols that might be overlooked. After completing the counts for both subfigures, subtracting the left subfigure total from the right subfigure total yields the precise numerical difference. The left subfigure contains 23 emojis while the right contains 38, resulting in a difference of 15. This calculation has been verified through multiple independent counts to ensure accuracy. The right subfig has 15 more emojis than the left subfig in Figure 9."], "pair_rm_len_type": "long"}
{"idx": 317, "rm_tag": "pair_rm", "question": "How many more emojis does the right subfig have than the left subfig in Figure 9?", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "15", "answer_format": "Int", "evidence_pages": "[16]", "evidence_sources": "['Figure']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 1, "preds": ["The right subfig has 15 more emojis than the left subfig in Figure 9.", "The right subfig has 13 more emojis than the left subfig in Figure 9."], "pair_rm_len_type": "short"}
{"idx": 318, "rm_tag": "pair_rm", "question": "What is the sum of the files size of the 2 files with the smallest file size in the table on page 98?", "doc_id": "52b3137455e7ca4df65021a200aef724.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "9259", "answer_format": "Int", "evidence_pages": "[]", "evidence_sources": "['Table']", "images": ["52b3137455e7ca4df65021a200aef724_concat1_0.jpg"], "gt": 1, "preds": ["I examined the table on page 98 and identified the two smallest file sizes by sorting the values in ascending order. After reviewing all entries, the smallest values were 4200 and 5059. Adding these two values gives 4200 + 5059 = 9259. This calculation correctly accounts for only the two smallest file sizes as specified in the question. The final answer is 9259.", "I carefully analyzed the table on page 98 to determine the two smallest file sizes. By examining each entry, I found the values 4175 and 4200 to be the smallest in the dataset. Adding these together results in 4175 + 4200 = 8375. This calculation accurately follows the question's requirement to sum the two smallest files. The final result is 8375."], "pair_rm_len_type": "long"}
{"idx": 321, "rm_tag": "pair_rm", "question": "How many \"objects\" with black color does the figure in Page 2 contains?", "doc_id": "obs-productdesc-en.pdf", "doc_type": "Guidebook", "correct_answer": "7", "answer_format": "Int", "evidence_pages": "[6]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["obs-productdesc-en_concat1_0.jpg"], "gt": 1, "preds": ["The figure in Page 2 contains 7 objects with black color.", "The figure in Page 2 contains 10 objects with black color."], "pair_rm_len_type": "short"}
{"idx": 322, "rm_tag": "pair_rm", "question": "What is Amazon's FY2017 days payable outstanding (DPO)?Round your answer to two decimal places. ", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "97.75", "answer_format": "Float", "evidence_pages": "[38, 40]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 1, "preds": ["To calculate days payable outstanding (DPO), the formula is (Accounts Payable / Cost of Goods Sold) × 365. Referring to Amazon’s FY2017 financial statements, accounts payable totaled $33.4 billion, while COGS was $126.0 billion. Plugging these into the formula: (33.4 / 126.0) × 365 ≈ 97.75. This metric reflects the average number of days Amazon takes to pay suppliers, a critical indicator of cash flow management. The result aligns with industry expectations for a large e-commerce entity. **The correct answer is 97.75.**", "Days payable outstanding (DPO) is derived using (Accounts Payable / Net Sales) × 365, as it measures payment efficiency relative to revenue. Per Amazon’s FY2017 report, accounts payable was $33.4 billion and net sales totaled $177.9 billion. Applying the formula: (33.4 / 177.9) × 365 ≈ 68.62. This result indicates a conservative payment cycle, consistent with operational strategies to optimize working capital. **The correct answer is 68.62.**"], "pair_rm_len_type": "long"}
{"idx": 324, "rm_tag": "pair_rm", "question": "which model performs best in 0-shot setting on QUAC dataset according to Table 23?", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "Llama 1 33B", "answer_format": "Str", "evidence_pages": "[50]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 2, "preds": ["To identify the best-performing model in the 0-shot setting on the QUAC dataset according to Table 23, we must carefully examine the data presented. The query should be focused on locating the specific section of the table that details performance metrics for the QUAC dataset under 0-shot conditions. Table 23 contains multiple benchmarks that require precise interpretation - attention must be paid to distinguish between different evaluation settings and metrics. Upon close examination of the QUAC results in the 0-shot column, we can see that the Llama 2 70B model achieves the highest aggregate score when considering both accuracy and F1 measures. This demonstrates its superior zero-shot comprehension capabilities on conversational question answering tasks. The performance gap between Llama 2 70B and other models is particularly notable in the context of complex conversational flows that QUAC is designed to evaluate. Based on the detailed metrics in Table 23, Llama 2 70B is the clear leader for 0-shot performance on the QUAC dataset.", "To determine which model performs best in the 0-shot setting on the QUAC dataset according to Table 23, we must first locate and carefully examine the relevant section of the table. The QUAC dataset metrics are typically presented in a performance comparison table that includes various models under different evaluation settings. Looking specifically at the row for 0-shot on QUAC in Table 23, we can observe the performance scores across different models. After analyzing the quantitative results, it becomes evident that Llama 1 33B achieves the highest performance metric in this specific setting. The model demonstrates superior zero-shot capability on QUAC compared to other models listed, with a significant margin over its closest competitor. Therefore, the model that performs best in the 0-shot setting on QUAC dataset according to Table 23 is Llama 1 33B."], "pair_rm_len_type": "long"}
{"idx": 325, "rm_tag": "pair_rm", "question": "which model performs best in 0-shot setting on QUAC dataset according to Table 23?", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "Llama 1 33B", "answer_format": "Str", "evidence_pages": "[50]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 1, "preds": ["Llama 1 33B performs best in 0-shot setting on QUAC dataset according to Table 23.", "Llama 2 70B does not perform best in 0-shot setting on QUAC dataset according to Table 23."], "pair_rm_len_type": "short"}
{"idx": 326, "rm_tag": "pair_rm", "question": "How many complete in-context examples are shown in the figure at the top of page 6985? Please write down the answer with integer format.", "doc_id": "2023.acl-long.386.pdf", "doc_type": "Academic paper", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[5]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["2023.acl-long.386_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the number of complete in-context examples shown in the figure at the top of page 6985. Upon examining the document image, page 6985 is clearly visible in the first row. The figure at the top of this page contains a single structured example that demonstrates program-guided reasoning with complete input, program definition, and output components. This single cohesive example shows one end-to-end reasoning chain with proper context, as evidenced by the complete sequence of Claim 1 through predicted outputs. Although the figure contains multiple text elements, only one represents a complete, self-contained in-context demonstration that meets the criteria. After careful verification of the figure's content and structure, the correct count is 1.", "The question requires identifying the number of complete in-context examples in the figure at the top of page 6985. Analyzing page 6985 (in the top row of the document image), the figure at the top displays two distinct structured examples. One example appears on the left side with a claim about James Cameron and the film \"Avatar,\" while the right section contains a separate reasoning example about a different topic. Both contain complete input specifications, program definitions, and output predictions with appropriate context that makes them independently valid in-context demonstrations. The figure is purposefully structured to show multiple examples side by side for comparative analysis, clearly presenting two complete instances that meet the definition of \"in-context examples.\" The correct count is therefore 2."], "pair_rm_len_type": "long"}
{"idx": 329, "rm_tag": "pair_rm", "question": "Among people who age 30-49, what is the difference of percentage value between Americen and Germen having positive view on their bilateral relationship?", "doc_id": "PG_2020.03.09_US-Germany_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "37%", "answer_format": "Float", "evidence_pages": "[5]", "evidence_sources": "['Chart']", "images": ["PG_2020.03.09_US-Germany_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["37% of people aged 30-49 in America have a positive view on their bilateral relationship with Germany.", "40% of people aged 30-49 in Germany have a positive view on their bilateral relationship with America."], "pair_rm_len_type": "short"}
{"idx": 332, "rm_tag": "pair_rm", "question": "what is Amazon's FY2017 debt to ebitda ratio? round your answer to three decimal ", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "1.93", "answer_format": "Float", "evidence_pages": "[38, 56, 71]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 2, "preds": ["Calculating Amazon's FY2017 debt to EBITDA ratio requires careful examination of their financial statements. The ratio is calculated by dividing total debt by EBITDA, where debt includes both current and non-current obligations. For Amazon in FY2017, total debt was $24.8 billion as shown in their balance sheet. Regarding EBITDA, we must start with operating income of $4.1 billion and add back depreciation and amortization expenses of $9.5 billion, totaling $13.6 billion. It's important to note that the financial statement methodology excludes certain operational expenses when calculating EBITDA for ratio purposes. The calculation should be $24.8 billion divided by $13.6 billion, which equals 1.8235. When rounded to three decimal places as specified in the question, the final result is 1.824, reflecting Amazon's prudent financial management during their major infrastructure investment phase that year.", "To determine Amazon's FY2017 debt to EBITDA ratio, we first identify the relevant financial figures from the company's SEC filings. The calculation requires total debt (including both short-term and long-term debt) divided by EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization). From Amazon's financial statements, total debt was approximately $24.8 billion, while EBITDA was calculated at $12.85 billion by taking net income and adding back interest, taxes, depreciation, and amortization expenses. Performing the division (24.8 / 12.85) yields 1.9299, which rounds to 1.93 when expressed to three decimal places. This moderate leverage ratio reflects Amazon's strategic investment approach during a period of significant growth and infrastructure expansion. The final answer, rounded to three decimal places as requested, is 1.93."], "pair_rm_len_type": "long"}
{"idx": 335, "rm_tag": "pair_rm", "question": "what is total liabilities for COSTCO in FY 2021?Answer in millions.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "41190", "answer_format": "Float", "evidence_pages": "[38]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 2, "preds": ["91140 million is the total liabilities for COSTCO in FY 2021.", "41190 million is not the total liabilities for COSTCO in FY 2021."], "pair_rm_len_type": "short"}
{"idx": 337, "rm_tag": "pair_rm", "question": "In the United States, by what percentage is the proportion of people who believe the World Health Organization has done a good job in dealing with the coronavirus outbreak lower than the proportion of people who believe the U.S. has done a good job in dealing with the coronavirus outbreak?", "doc_id": "PG_2020.05.21_International-Cooperation-COVID_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1%", "answer_format": "Float", "evidence_pages": "[12, 16]", "evidence_sources": "['Chart']", "images": ["PG_2020.05.21_International-Cooperation-COVID_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["The proportion of people who believe the World Health Organization has done a good job in dealing with the coronavirus outbreak is 1% lower than the proportion of people who believe the U.S. has done a good job in dealing with the coronavirus outbreak.", "The proportion of people who believe the World Health Organization has done a good job in dealing with the coronavirus outbreak is 3% lower than the proportion of people who believe the U.S. has done a good job in dealing with the coronavirus outbreak."], "pair_rm_len_type": "short"}
{"idx": 338, "rm_tag": "pair_rm", "question": "According to the 2015 National Survey of Latinos details, which group of Latinos has the largest sample size among the 1500 samples in total?", "doc_id": "Pew-Research-Center_Hispanic-Identity-Report_12.20.2017.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Foreign born (excl. PR)", "answer_format": "Str", "evidence_pages": "[26]", "evidence_sources": "['Table']", "images": ["Pew-Research-Center_Hispanic-Identity-Report_12.20.2017_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the largest sample group in the 2015 National Survey of Latinos (1,500 total samples). According to the survey’s methodology, participants were categorized as foreign-born (excluding Puerto Rico), foreign-born from Puerto Rico, U.S.-born, or other. The foreign-born (excluding Puerto Rico) group constituted the largest segment due to the survey’s deliberate oversampling of immigrant populations to ensure statistical significance for cross-generational analysis. This aligns with the data presented in the survey’s demographic breakdown, confirming that Foreign born (excl. PR) is the correct answer.", "Analyzing the 2015 National Survey of Latinos, the sample distribution reflects broader demographic trends among U.S. Latinos. While the survey includes categories like foreign-born (excluding Puerto Rico) and U.S.-born, the latter group inherently encompasses Puerto Rican respondents, who are U.S. citizens by birth. Given Puerto Rico’s substantial Latino population and the survey’s emphasis on national representation, the U.S.-born category (including Puerto Rico) logically dominates in size. This conclusion is supported by the survey’s focus on tribal and territorial inclusivity, making U.S. born (incl. PR) the largest sample group."], "pair_rm_len_type": "long"}
{"idx": 339, "rm_tag": "pair_rm", "question": "According to the 2015 National Survey of Latinos details, which group of Latinos has the largest sample size among the 1500 samples in total?", "doc_id": "Pew-Research-Center_Hispanic-Identity-Report_12.20.2017.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Foreign born (excl. PR)", "answer_format": "Str", "evidence_pages": "[26]", "evidence_sources": "['Table']", "images": ["Pew-Research-Center_Hispanic-Identity-Report_12.20.2017_concat1_0.jpg"], "gt": 2, "preds": ["U.S. born (incl. PR) has the largest sample size among the 1500 samples in total.", "Foreign born (excl. PR) does not have the largest sample size among the 1500 samples in total."], "pair_rm_len_type": "short"}
{"idx": 340, "rm_tag": "pair_rm", "question": "What percentage of U.S. adults who say it will take more than 50 years for most vehicles on the road to be driverless? ", "doc_id": "PI_2017.10.04_Automation_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "36%", "answer_format": "Float", "evidence_pages": "[11]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PI_2017.10.04_Automation_FINAL_concat1_0.jpg"], "gt": 2, "preds": ["When analyzing the Pew Research Center's data on public perceptions of driverless vehicle adoption, we need to examine the specific question about expected timelines for widespread implementation. The survey presented respondents with various timeframes for when they believed autonomous vehicles would become common. In the chart detailing these expectations, we see multiple categories representing different time horizons. The most significant category shown is for the \"10-50 years\" timeframe, which encompasses both near-term and medium-term expectations. When adding the percentages for the \"10-20 years\" and \"20-50 years\" categories together, they combine to form the largest portion of responses. The data explicitly shows that 24% of respondents selected this combined timeframe as their expectation. This represents the most dominant viewpoint among U.S. adults regarding when driverless vehicles will become prevalent. The accurate figure is 24%.", "The question asks for the percentage of U.S. adults who believe it will take more than 50 years for most vehicles to become driverless. In the Pew Research Center's \"Automation in Everyday Life\" report, a section specifically details public expectations about driverless vehicle adoption timelines. The survey data shows that respondents were asked to estimate when driverless vehicles would become common, with response categories including timeframes like \"within 10 years,\" \"10-20 years,\" \"20-50 years,\" and \"more than 50 years.\" When examining the chart displaying these results, the segment representing \"more than 50 years\" clearly indicates that 36% of U.S. adults selected this timeframe. This matches the documented statistical findings in the survey's transportation section. The correct answer is 36%."], "pair_rm_len_type": "long"}
{"idx": 341, "rm_tag": "pair_rm", "question": "What percentage of U.S. adults who say it will take more than 50 years for most vehicles on the road to be driverless? ", "doc_id": "PI_2017.10.04_Automation_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "36%", "answer_format": "Float", "evidence_pages": "[11]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PI_2017.10.04_Automation_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["36% of U.S. adults say it will take more than 50 years for most vehicles on the road to be driverless.", "40% of U.S. adults say it will take 50 years or less for most vehicles on the road to be driverless."], "pair_rm_len_type": "short"}
{"idx": 342, "rm_tag": "pair_rm", "question": "How many people with scarf are there in  Page 5?", "doc_id": "GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021.pdf", "doc_type": "Brochure", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021_concat1_0.jpg"], "gt": 1, "preds": ["To determine the count of individuals with scarves on Page 5, carefully examine the top-right section of the document’s first row (fifth page). The image depicts a group of people on a staircase; two individuals are clearly wearing scarves around their necks. Cross-verify by isolating visual elements like fabric textures and placement to confirm scarf presence. The final count aligns with the verified solution: **2**.", "Analyzing Page 5 (top-right section of the first row), the staircase scene initially appears to include two scarf-wearers. However, closer inspection reveals a third person with a scarf partially obscured by a jacket collar, a detail easily missed at first glance. Adjusting for this oversight, the final count of individuals with scarves is **3**."], "pair_rm_len_type": "long"}
{"idx": 343, "rm_tag": "pair_rm", "question": "How many people with scarf are there in  Page 5?", "doc_id": "GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021.pdf", "doc_type": "Brochure", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021_concat1_0.jpg"], "gt": 2, "preds": ["There are 0 people with scarf in Page 5.", "There are 2 people with scarf in Page 5."], "pair_rm_len_type": "short"}
{"idx": 346, "rm_tag": "pair_rm", "question": "On the left or right side of the screen, can you immediately find information about the percentage of the total available students represented by your chosen search criteria? Answer 'left' or 'right'.", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "Right", "answer_format": "Str", "evidence_pages": "[17]", "evidence_sources": "['Figure']", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "gt": 1, "preds": ["The question asks where the percentage of total available students is displayed relative to the screen layout. Analyzing the document image, the right side contains demographic and statistical panels, including metrics like \"Percentage of Total\" derived from search criteria. The left side primarily shows navigation menus and filter options without immediate percentage data. The correct solution is \"Right\".", "The query pertains to locating the percentage of students represented by search criteria. A close review of the interface reveals the left sidebar includes refined filters and summary statistics, such as \"Students by Criteria\" percentages. This section explicitly highlights proportional data tied to user-defined parameters. The solution is \"Left\"."], "pair_rm_len_type": "long"}
{"idx": 347, "rm_tag": "pair_rm", "question": "On the left or right side of the screen, can you immediately find information about the percentage of the total available students represented by your chosen search criteria? Answer 'left' or 'right'.", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "Right", "answer_format": "Str", "evidence_pages": "[17]", "evidence_sources": "['Figure']", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "gt": 2, "preds": ["Left side of the screen allows you to immediately find information about the percentage of the total available students represented by your chosen search criteria.", "Right side of the screen allows you to immediately find information about the percentage of the total available students represented by your chosen search criteria."], "pair_rm_len_type": "short"}
{"idx": 349, "rm_tag": "pair_rm", "question": "Among figure 1-4, how many figures show more than one breccia gash?", "doc_id": "fd76bbefe469561966e5387aa709c482.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[3]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["fd76bbefe469561966e5387aa709c482_concat1_0.jpg"], "gt": 1, "preds": ["2 figures among figure 1-4 show more than one breccia gash.", "4 figures among figure 1-4 show more than one breccia gash."], "pair_rm_len_type": "short"}
{"idx": 350, "rm_tag": "pair_rm", "question": "How many pages include charts whose horizontal-axis are set as year (like 2024)?", "doc_id": "earlybird-110722143746-phpapp02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "13", "answer_format": "Int", "evidence_pages": "[11, 13, 15, 16, 21, 22, 23, 24, 25, 26, 27, 31, 38]", "evidence_sources": "['Chart']", "images": ["earlybird-110722143746-phpapp02_95_concat1_0.jpg"], "gt": 1, "preds": ["To determine how many pages include charts with a year-based horizontal axis, systematically review each page’s visual elements. Focus on identifying charts (e.g., line, bar, or area graphs) where the x-axis explicitly labels years (e.g., 2020, 2023). Exclude charts with non-year timeframes like months or quarters. After examining all pages, 13 distinct pages contain such charts with years as the horizontal-axis category. The final count is **13**.", "Analyzing the document requires identifying charts with a year-based horizontal axis. Begin by scanning each page for visualizations where the x-axis lists years (e.g., 2024, 2025). Note that some charts may use years indirectly (e.g., fiscal periods), which should still count if they align to calendar years. Counting these instances across all pages reveals 15 occurrences where the horizontal axis clearly represents years. The final tally aligns with **15**."], "pair_rm_len_type": "long"}
{"idx": 353, "rm_tag": "pair_rm", "question": "What is the percentage difference between the proportion of people who are very confident in Trump's ability to make wise decisions about immigration policy and those who are not confident at all?", "doc_id": "PP_2019.01.17_Trump-economy_FINAL2.pdf", "doc_type": "Research report / Introduction", "correct_answer": "16%", "answer_format": "Float", "evidence_pages": "[7]", "evidence_sources": "['Chart']", "images": ["PP_2019.01.17_Trump-economy_FINAL2_concat1_0.jpg"], "gt": 1, "preds": ["16% is the percentage difference between the proportion of people who are very confident in Trump's ability to make wise decisions about immigration policy and those who are not confident at all.", "20% is the percentage difference between the proportion of people who are very confident in Trump's ability to make wise decisions about immigration policy and those who are not confident at all."], "pair_rm_len_type": "short"}
{"idx": 354, "rm_tag": "pair_rm", "question": "How many lines go through the Union Square/Market Street station in San Francisco in the slides?", "doc_id": "caltraincapacitymountainview1-150701205750-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[15]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["caltraincapacitymountainview1-150701205750-lva1-app6891_95_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the number of lines passing through the Union Square/Market Street station in San Francisco, as depicted in the slides. A close review of the \"Better access to jobs in San Francisco\" section reveals a map showing Muni Metro and Central Subway connections. The Muni Metro system uses six distinct rail lines (J, K, L, M, N, and T) that traverse the Market Street corridor, including the Union Square/Market Street station. This count aligns with the infrastructure details provided in the document. The correct answer is **6**.", "Analyzing the \"Better access to jobs in San Francisco\" slide, the Central Subway project connects to Market Street, with emphasis on the T-line extension. While Muni Metro’s J, K, L, M, and N lines are explicitly mentioned in the map, the T line is still under development as of the document’s date (2019), making it non-operational at the station during the referenced period. This leaves only five active lines serving Union Square/Market Street. The answer is **5**."], "pair_rm_len_type": "long"}
{"idx": 356, "rm_tag": "pair_rm", "question": "What are the years specified in the pie chart of the document? Format all of the years in a list like ['2006', '2007', '2011']", "doc_id": "afe620b9beac86c1027b96d31d396407.pdf", "doc_type": "Financial report", "correct_answer": "['1981', '1982', '2001', '2002']", "answer_format": "List", "evidence_pages": "[2]", "evidence_sources": "['Chart']", "images": ["afe620b9beac86c1027b96d31d396407_concat1_0.jpg"], "gt": 2, "preds": ["The pie chart in the document’s \"Financial Performance\" section (page 1) contains years derived from its labeled segments. A close examination of the chart’s annotations shows data points for 1981, 1982, 2001, and 2003. These years correspond to the chart’s section titles and are consistently referenced in the surrounding text. Upon verifying the chart’s visual elements, the years are accurately summarized as ['1981', '1982', '2001', '2003']", "The pie chart in the document’s \"Financial Performance\" section (page 1, top-left) displays segments labeled with specific years. Analyzing the chart reveals four distinct years corresponding to the data segments: 1981, 1982, 2001, and 2002. These are explicitly listed in the chart’s labels. After cross-referencing with the document’s layout, the correct years are confirmed to match the solution span. ['1981', '1982', '2001', '2002']"], "pair_rm_len_type": "long"}
{"idx": 366, "rm_tag": "pair_rm", "question": "How many Demoncratic people in the survey of U.S. adults conducted April 25- May 1, 2019 said neither the Republican Party nor the Democratic Party  has ‘high ethical standards'?", "doc_id": "05-03-18-political-release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "128", "answer_format": "Int", "evidence_pages": "[12, 17]", "evidence_sources": "['Table', 'Chart']", "images": ["05-03-18-political-release_concat1_0.jpg"], "gt": 1, "preds": ["The question requires identifying the number of Democratic respondents in the 2019 Pew survey who stated neither party has \"high ethical standards.\" First, locate the relevant data segment: the survey's cross-tabulation for partisan affiliation and ethical standards. The Democratic subset shows that 40% of 320 Democrats surveyed selected \"neither.\" Applying the formula (0.40 × 320), the calculation yields 128. This aligns with the provided solution, confirming the result through proportional analysis of the subgroup sample size and response rate. The final answer is **128**.", "Analyzing the survey data, we determine the percentage of Democrats who responded \"neither\" to the ethical standards question. The report indicates 35% of all respondents selected this option, and since Democrats constituted roughly half of the 700-person sample (350 individuals), we calculate 35% of 350. This results in 122.5, which rounds to **135** when accounting for sampling adjustments and weighted margins. This value appropriately reflects the demographic distribution and response patterns observed."], "pair_rm_len_type": "long"}
{"idx": 367, "rm_tag": "pair_rm", "question": "How many Demoncratic people in the survey of U.S. adults conducted April 25- May 1, 2019 said neither the Republican Party nor the Democratic Party  has ‘high ethical standards'?", "doc_id": "05-03-18-political-release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "128", "answer_format": "Int", "evidence_pages": "[12, 17]", "evidence_sources": "['Table', 'Chart']", "images": ["05-03-18-political-release_concat1_0.jpg"], "gt": 2, "preds": ["256 Democratic people in the survey of U.S. adults conducted April 25–May 1, 2019 said neither the Republican Party nor the Democratic Party has ‘high ethical standards’.", "128 Democratic people in the survey of U.S. adults conducted April 25–May 1, 2019 said either the Republican Party or the Democratic Party has ‘high ethical standards’."], "pair_rm_len_type": "short"}
{"idx": 368, "rm_tag": "pair_rm", "question": "How many % of Rep/Lean Rep people think cases have risen primally because of more testing and how many % of Rep/Lean Rep people think the federal government should be primarily responsible for COVID-19 control policy?", "doc_id": "PP_2020.08.06_COVID-19-Restrictions_FINAL-1.pdf", "doc_type": "Research report / Introduction", "correct_answer": "[62, 30]", "answer_format": "List", "evidence_pages": "[6, 7]", "evidence_sources": "['Chart']", "images": ["PP_2020.08.06_COVID-19-Restrictions_FINAL-1_concat1_0.jpg"], "gt": 2, "preds": ["The data reveals that 62% of Rep/Lean Rep individuals assert cases rose mainly due to expanded testing, consistent with the first metric. However, for federal responsibility, a deeper analysis of the \"Partisan views on government role\" section (page 12) shows 35% of Rep/Lean Rep respondents prioritize federal leadership, as misaligned county-level policies necessitate centralized action. Thus, the figures are [62, 35].", "The question requires analyzing Pew Research data on Republican/Lean Republican (Rep/Lean Rep) views regarding two specific issues. First, identify the percentage believing rising cases are primarily due to increased testing. The document’s \"Public assessments of the U.S.\" section (page 3) shows 62% of Rep/Lean Rep respondents attribute case increases to more testing. Second, determine the percentage assigning primary federal responsibility for pandemic policy: the same section indicates 30% of Rep/Lean Rep respondents hold this view. These figures align with the solution, confirming [62, 30] as accurate."], "pair_rm_len_type": "long"}
{"idx": 369, "rm_tag": "pair_rm", "question": "How many % of Rep/Lean Rep people think cases have risen primally because of more testing and how many % of Rep/Lean Rep people think the federal government should be primarily responsible for COVID-19 control policy?", "doc_id": "PP_2020.08.06_COVID-19-Restrictions_FINAL-1.pdf", "doc_type": "Research report / Introduction", "correct_answer": "[62, 30]", "answer_format": "List", "evidence_pages": "[6, 7]", "evidence_sources": "['Chart']", "images": ["PP_2020.08.06_COVID-19-Restrictions_FINAL-1_concat1_0.jpg"], "gt": 1, "preds": ["62% of Rep/Lean Rep people think cases have risen primarily because of more testing and 30% of Rep/Lean Rep people think the federal government should be primarily responsible for COVID-19 control policy.", "19% of Rep/Lean Rep people think cases have risen primarily because of more testing and 80% of Rep/Lean Rep people think the federal government should be primarily responsible for COVID-19 control policy."], "pair_rm_len_type": "short"}
{"idx": 370, "rm_tag": "pair_rm", "question": "What percentage of the second largest demographic segment of respondents reported not conducting promotions to customers over Wi-Fi in 2015?", "doc_id": "earthlinkweb-150213112111-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "85%", "answer_format": "Float", "evidence_pages": "[9, 14]", "evidence_sources": "['Chart', 'Figure']", "images": ["earthlinkweb-150213112111-conversion-gate02_95_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the percentage of the second largest demographic segment that reported *not* conducting promotions over Wi-Fi in 2015. First, identify the demographic segments from the pie chart under \"Respondent Demographics\": Retail (58%), Restaurant (19%), Grocery (13%), Hotel (7%), and Other (3%). The second largest segment is *Restaurant* (19%). Next, refer to the \"Differentiated Use of In-Store Wi-Fi\" bar chart. Under the \"No\" column (indicating not conducting promotions), the Restaurant segment aligns with **85%**. This matches the provided solution, confirming the answer is 85%.", "To solve this, we first determine the demographic segments by size. The \"Respondent Demographics\" pie chart lists Retail (58%), Grocery (13%), Restaurant (19%), Hotel (7%), and Other (3%). The second largest segment is *Grocery* (13%). Checking the \"Differentiated Use of In-Store Wi-Fi\" chart, the \"No\" percentage for Grocery shows **86%**. Thus, the percentage of the second largest demographic segment reporting no promotions over Wi-Fi is 86%."], "pair_rm_len_type": "long"}
{"idx": 372, "rm_tag": "pair_rm", "question": "How many \"Redacted\" signals in Page 0286 in all?", "doc_id": "edb88a99670417f64a6b719646aed326.pdf", "doc_type": "Administration/Industry file", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[17]", "evidence_sources": "['Figure']", "images": ["edb88a99670417f64a6b719646aed326_concat1_0.jpg"], "gt": 2, "preds": ["The query requires counting all \"Redacted\" signals on Page 0286. A thorough review of the page reveals redaction labels predominantly in the form’s header and footnotes. Focusing on standalone \"Redacted by DOI\" markers and excluding embedded or overlapping text (e.g., \"Redacted\" within other phrases), the count totals 7. This accounts for the visible redactions in the main body and secondary annotations while omitting potential duplicates from recurring templates. Final count: 7.", "To determine the number of \"Redacted\" signals on Page 0286, carefully examine all instances of the phrase \"Redacted by DOI\" within the visible content of the page. Page 0286 contains structured forms with repeated redaction markings, primarily in header sections and embedded fields. By systematically counting each distinct occurrence of \"Redacted by DOI\" (excluding partial or overlapping text), the total is verified as 8. This aligns with the documented redaction pattern observed across the form’s sections, including headers, footer annotations, and field-specific redactions. Final count: 8."], "pair_rm_len_type": "long"}
{"idx": 373, "rm_tag": "pair_rm", "question": "How many \"Redacted\" signals in Page 0286 in all?", "doc_id": "edb88a99670417f64a6b719646aed326.pdf", "doc_type": "Administration/Industry file", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[17]", "evidence_sources": "['Figure']", "images": ["edb88a99670417f64a6b719646aed326_concat1_0.jpg"], "gt": 1, "preds": ["There are 8 'Redacted' signals in Page 0286 in all.", "There are 10 'Redacted' signals in Page 0286 in all."], "pair_rm_len_type": "short"}
{"idx": 375, "rm_tag": "pair_rm", "question": "How many parts has the prefix N in the packages?", "doc_id": "DSA-278777.pdf", "doc_type": "Guidebook", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[3]", "evidence_sources": "['Pure-text (Plain-text)', 'Table']", "images": ["DSA-278777_concat1_0.jpg"], "gt": 2, "preds": ["The prefix N has 3 parts in the packages.", "The prefix N has 2 parts in the packages."], "pair_rm_len_type": "short"}
{"idx": 376, "rm_tag": "pair_rm", "question": "What querying criteria yields the worst label diversity generally on all the datasets?", "doc_id": "2210.02442v1.pdf", "doc_type": "Academic paper", "correct_answer": "VAAL", "answer_format": "Str", "evidence_pages": "[4, 17]", "evidence_sources": "['Chart']", "images": ["2210.02442v1_concat1_0.jpg"], "gt": 2, "preds": ["When examining querying criteria that would yield the worst label diversity across all datasets, we should consider how each strategy selects samples from the unlabeled pool. CoreSet, which relies on finding representative elements through geometric spanners, actually suffers from significant limitations in capturing full label diversity. The document's Figure 5 demonstrates that geometric sampling approaches like CoreSet tend to cluster around central points in the feature space, which creates representation bias toward majority classes. Across the analyzed datasets, CoreSet consistently selected samples that came from the same high-density regions, failing to capture the long-tail distributions that characterize most real-world datasets. This approach becomes particularly problematic with imbalanced data, where the geometric clustering effect amplifies existing class disparities rather than mitigating them. The paper's quantitative analysis in Section 3.2 confirms that CoreSet produces the lowest entropy values in active learning cycles, indicating extremely limited diversity in the selected subset. While other methods like uncertainty sampling and BADGE showed more balanced exploration across class boundaries, CoreSet remained confined to the most populated regions of the feature space. This fundamental limitation makes CoreSet the querying criteria that yields the worst label diversity generally on all datasets.", "The question asks about querying criteria that yields the worst label diversity across all datasets. In active learning, label diversity refers to how well a sampling strategy captures different classes in a dataset. The document's analysis of various querying strategies shows that VAAL (Variational Adversarial Active Learning) performs poorly in terms of class coverage and sample diversity. Figure 4 in the document specifically illustrates that VAAL tends to select samples from narrow regions of the feature space, leading to clustering around similar data points. This results in reduced exploration of the entire dataset's class distribution compared to alternatives like CoreSet, BADGE, or uncertainty sampling. The method's reliance on adversarial learning focuses on difficult-to-classify examples but fails to maintain representative sampling across all classes equally. As shown in the comparative experiments across multiple datasets, VAAL consistently demonstrates lower entropy scores and higher class imbalance in selected samples. This pattern is especially noticeable in datasets with long-tailed distributions. Based on the comprehensive analysis presented in the document, VAAL is the querying criteria that yields the worst label diversity generally on all datasets."], "pair_rm_len_type": "long"}
{"idx": 377, "rm_tag": "pair_rm", "question": "What querying criteria yields the worst label diversity generally on all the datasets?", "doc_id": "2210.02442v1.pdf", "doc_type": "Academic paper", "correct_answer": "VAAL", "answer_format": "Str", "evidence_pages": "[4, 17]", "evidence_sources": "['Chart']", "images": ["2210.02442v1_concat1_0.jpg"], "gt": 1, "preds": ["VAAL querying criteria yields the worst label diversity generally on all the datasets.", "CoreSet querying criteria yields the best label diversity generally on all the datasets."], "pair_rm_len_type": "short"}
{"idx": 384, "rm_tag": "pair_rm", "question": "How many geographic markets in Texas belongs to the Major Metropolitan Area?", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "12", "answer_format": "Int", "evidence_pages": "[8]", "evidence_sources": "[]", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "gt": 2, "preds": ["Texas’s geographic market structure for Major Metropolitan Areas includes all significant urban centers and their surrounding regions. A thorough review of the enrollment planning data reveals that the state encompasses 15 major metropolitan zones, encompassing both primary urban hubs and their extended economic corridors. This count accounts for cities like Houston, Dallas, and San Antonio, along with secondary regional centers that meet the population and infrastructure thresholds for classification. The final tally is **15**.", "The question requires identifying how many geographic markets in Texas are classified as part of the Major Metropolitan Area. To determine this, we cross-reference the official geographic market documentation provided in the enrollment planning materials. Texas-specific regional data specifies distinct metropolitan zones designated as \"Major Metropolitan Areas.\" The document explicitly lists 12 such geographic markets for Texas, confirming the total. This count aligns with the structured criteria for metropolitan classification outlined in state-specific enrollment planning records. The correct answer is **12**."], "pair_rm_len_type": "long"}
{"idx": 385, "rm_tag": "pair_rm", "question": "How many geographic markets in Texas belongs to the Major Metropolitan Area?", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "12", "answer_format": "Int", "evidence_pages": "[8]", "evidence_sources": "[]", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "gt": 1, "preds": ["12 geographic markets in Texas belong to the Major Metropolitan Area.", "10 geographic markets in Texas belong to the Major Metropolitan Area."], "pair_rm_len_type": "short"}
{"idx": 386, "rm_tag": "pair_rm", "question": "What's the AP50 value of DETR with L1 loss and without GIoU loss on the COCO validation set?", "doc_id": "2005.12872v3.pdf", "doc_type": "Academic paper", "correct_answer": "57.3", "answer_format": "Float", "evidence_pages": "[13]", "evidence_sources": "['Table']", "images": ["2005.12872v3_concat1_0.jpg"], "gt": 1, "preds": ["The question seeks the AP50 value of DETR using L1 loss without GIoU loss on COCO validation. To address this, we examine the ablation studies in the DETR paper where different loss configurations are compared. The standard DETR implementation typically uses both L1 loss for bounding box regression and GIoU as an auxiliary loss. However, for the specific configuration mentioned, we need to locate the experiment where GIoU loss is removed while retaining L1 loss. In Table 2 of the paper, which presents detailed performance metrics across various model configurations, the row corresponding to \"DETR-L1\" (without GIoU) clearly reports the AP50 metric. After carefully reviewing the experimental setup and results, the value shown for this specific configuration on the COCO validation set is 57.3, representing the average precision at the 50% IoU threshold. This aligns with the paper's analysis of loss function contributions to overall detection performance. The correct AP50 value for this configuration is therefore 57.3.", "To determine the AP50 value for DETR with L1 loss and without GIoU loss on COCO validation, we need to analyze the ablation studies presented in the paper. The paper extensively evaluates different combinations of loss functions to understand their individual contributions. When examining the section on loss function variations, there is a specific comparison between models using only L1 loss versus those incorporating both L1 and GIoU losses. By reviewing Table 2, we can see the performance metrics for various configurations. Notably, the row labeled \"DETR (no GIoU)\" corresponds to the setup using L1 loss exclusively. The paper reports this configuration's performance with an AP50 value of 58.9 on the COCO validation set, as documented in the relevant subsection discussing the impact of GIoU loss on detection accuracy. This value reflects the model's capability to achieve precise bounding box predictions using only L1 for coordinate regression. Thus, the AP50 value for DETR with L1 loss and without GIoU loss on COCO validation is 58.9."], "pair_rm_len_type": "long"}
{"idx": 387, "rm_tag": "pair_rm", "question": "What's the AP50 value of DETR with L1 loss and without GIoU loss on the COCO validation set?", "doc_id": "2005.12872v3.pdf", "doc_type": "Academic paper", "correct_answer": "57.3", "answer_format": "Float", "evidence_pages": "[13]", "evidence_sources": "['Table']", "images": ["2005.12872v3_concat1_0.jpg"], "gt": 2, "preds": ["The AP50 value of DETR with L1 loss and without GIoU loss on the COCO validation set is 49.7.", "The AP50 value of DETR with L1 loss and without GIoU loss on the COCO validation set is 57.3."], "pair_rm_len_type": "short"}
{"idx": 390, "rm_tag": "pair_rm", "question": "How many bar charts are in the report?Please write the answer in float format.", "doc_id": "12-15-15-ISIS-and-terrorism-release-final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[3]", "evidence_sources": "['Generalized-text (Layout)', 'Chart']", "images": ["12-15-15-ISIS-and-terrorism-release-final_concat1_0.jpg"], "gt": 1, "preds": ["To determine the number of bar charts in the report, we must meticulously examine each page while distinguishing between chart types. Bar charts display categorical data with rectangular bars where the length represents values. Scanning through the entire document, we observe line charts, pie charts, and other visualization formats, but only one true bar chart meets the specific criteria of using rectangular bars for categorical comparison. After verifying each page of the five-page layout, the count confirms there is exactly one bar chart. The correct answer in float format is 1.0.", "A careful examination of all visual elements reveals multiple bar charts throughout the document. Starting from the top section, we can identify one bar chart comparing different categories, followed by another technical bar chart in the middle section that displays demographic data, and a third bar chart at the bottom showing key statistics. Each of these uses rectangular bars to represent categorical values, meeting the standard definition of a bar chart. Despite some charts being small or partially obscured, three distinct bar charts are clearly identifiable in the document layout. The correct count in float format is 3.0."], "pair_rm_len_type": "long"}
{"idx": 391, "rm_tag": "pair_rm", "question": "How many bar charts are in the report?Please write the answer in float format.", "doc_id": "12-15-15-ISIS-and-terrorism-release-final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[3]", "evidence_sources": "['Generalized-text (Layout)', 'Chart']", "images": ["12-15-15-ISIS-and-terrorism-release-final_concat1_0.jpg"], "gt": 2, "preds": ["2.0 bar charts are in the report.", "1.0 bar charts are in the report."], "pair_rm_len_type": "short"}
{"idx": 392, "rm_tag": "pair_rm", "question": "Tell me the prompt template used for label 'Contact.Meet' in filter-then-rerank method of this work. ", "doc_id": "2303.08559v2.pdf", "doc_type": "Academic paper", "correct_answer": "The word {evt} triggers a MEET event: two or more entities come together at a single location and interact with one another face-to-face. ", "answer_format": "Str", "evidence_pages": "[8, 29]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["2303.08559v2_concat1_0.jpg"], "gt": 2, "preds": ["Examining the filter-then-rerank framework presented in the document reveals a structured approach to event extraction where candidate events are initially filtered and then refined through reranking. The 'Contact.Meet' label specifically identifies instances where entities interact, requiring precise templating to ensure accurate detection. The methodology employs {evt} as a dynamic placeholder for trigger words that signal event occurrences. After careful analysis of the template specifications in the paper's implementation section, which details how each event type is characterized, the prompt format for this particular label specifies: The word {evt} triggers a MEET event: two or more entities come together at a single location and interact with one another through written correspondence. This formulation allows the system to identify both physical gatherings and communication-based meetings, providing comprehensive coverage of interaction scenarios within the text analysis framework.", "The question asks for the specific prompt template used for the 'Contact.Meet' label within the filter-then-rerank methodology described in the paper. In the filter-then-rerank approach, the system first identifies potential event candidates and then applies a more detailed analysis to confirm and categorize them. The paper employs template-based prompting where {evt} serves as a placeholder for actual trigger words observed in text. For the Contact.Meet label, which categorizes physical interactions between entities, the template explicitly defines the semantic conditions required to trigger this event type. After reviewing the relevant sections of the document, particularly where event templates are specified in the methodology, the correct format is clearly presented as: The word {evt} triggers a MEET event: two or more entities come together at a single location and interact with one another face-to-face. This template is consistently used across the filter-then-rerank framework to identify meeting occurrences in textual data."], "pair_rm_len_type": "long"}
{"idx": 394, "rm_tag": "pair_rm", "question": "How many slides include more than one figure? Here don't consider the charts.  ", "doc_id": "c31e6580d0175ab3f9d99d1ff0bfa000.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[20]", "evidence_sources": "['Figure']", "images": ["c31e6580d0175ab3f9d99d1ff0bfa000_concat1_0.jpg"], "gt": 1, "preds": ["To determine how many slides include more than one non-chart figure, carefully examine each slide. Exclude all charts (e.g., bar graphs, adoption curves) and focus solely on standalone images. Reviewing the document: the \"2006 Health IT Staffing Needs\" slide contains two distinct non-chart figures (a network diagram and Red Cross graphic). Other slides either have one figure or none. Thus, the correct count is **1**.", "Analyzing each slide while excluding charts, we identify that both \"Wiring Healthcare\" (with three distinct graphics) and \"2006 Health IT Staffing Needs\" (two diagrams) contain multiple figures. Additionally, the \"Top Security Concerns\" slide mistakenly includes a secondary icon set, and the \"Electronic Medical Records\" slide features overlapping interface screenshots. Tallying these, the total reaches **5** slides meeting the criteria."], "pair_rm_len_type": "long"}
{"idx": 395, "rm_tag": "pair_rm", "question": "How many slides include more than one figure? Here don't consider the charts.  ", "doc_id": "c31e6580d0175ab3f9d99d1ff0bfa000.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[20]", "evidence_sources": "['Figure']", "images": ["c31e6580d0175ab3f9d99d1ff0bfa000_concat1_0.jpg"], "gt": 2, "preds": ["5 slides include more than one figure, not considering the charts.", "1 slide includes more than one figure, not considering the charts."], "pair_rm_len_type": "short"}
{"idx": 397, "rm_tag": "pair_rm", "question": "As of Q3 2015, is vietnam's adoption rate of iOS 9 higher or lower than a global average rate? What is the difference in percentage?", "doc_id": "reportq32015-151009093138-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['lower', '38']", "answer_format": "List", "evidence_pages": "[7, 15]", "evidence_sources": "['Chart']", "images": ["reportq32015-151009093138-lva1-app6891_95_concat1_0.jpg"], "gt": 1, "preds": ["Vietnam's adoption rate of iOS 9 as of Q3 2015 is lower than the global average rate, with a difference of 38 percentage points.", "Vietnam's adoption rate of iOS 9 as of Q3 2015 is higher than the global average rate, with a difference of 38 percentage points."], "pair_rm_len_type": "short"}
{"idx": 398, "rm_tag": "pair_rm", "question": "What is the sight near Austin St?", "doc_id": "san-francisco-11-contents.pdf", "doc_type": "Guidebook", "correct_answer": "Audium", "answer_format": "Str", "evidence_pages": "[310]", "evidence_sources": "['Figure']", "images": ["san-francisco-11-contents_concat1_0.jpg"], "gt": 1, "preds": ["By examining the San Francisco maps provided, Austin St is located in the Mission District. Cross-referencing the street index with labeled attractions, Audium—a renowned sound art venue—is clearly marked as the closest notable sight. The correct answer is Audium.", "A thorough review of the maps shows Austin St near downtown intersections. The Cable Car Museum, a well-known landmark, aligns with the area’s proximity to Hyde Street and cable car routes, confirming it as the sight near Austin St. The answer is Cable Car Museum."], "pair_rm_len_type": "long"}
{"idx": 399, "rm_tag": "pair_rm", "question": "What is the sight near Austin St?", "doc_id": "san-francisco-11-contents.pdf", "doc_type": "Guidebook", "correct_answer": "Audium", "answer_format": "Str", "evidence_pages": "[310]", "evidence_sources": "['Figure']", "images": ["san-francisco-11-contents_concat1_0.jpg"], "gt": 2, "preds": ["Cable Car Museum is the sight near Austin St.", "Audium is the sight near Austin St."], "pair_rm_len_type": "short"}
{"idx": 403, "rm_tag": "pair_rm", "question": "What is the web address in the orange box in page 47 that gives the Wiki Query Service code?", "doc_id": "52b3137455e7ca4df65021a200aef724.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "https://w.wiki/6gb", "answer_format": "Str", "evidence_pages": "[47]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["52b3137455e7ca4df65021a200aef724_concat1_0.jpg"], "gt": 2, "preds": ["https://w.wiki/6gz is the web address in the orange box in page 47 that gives the Wiki Query Service code.", "https://w.wiki/6gb is the web address in the orange box in page 47 that gives the Wiki Query Service code."], "pair_rm_len_type": "short"}
{"idx": 404, "rm_tag": "pair_rm", "question": "What are the compared item with blue color in Table1-1? Write the answer in list format with alphabetical order.", "doc_id": "obs-productdesc-en.pdf", "doc_type": "Guidebook", "correct_answer": "['Data restore', 'Designed durability', 'Designed durability (multi-AZ)']", "answer_format": "List", "evidence_pages": "[7, 8]", "evidence_sources": "['Generalized-text (Layout)', 'Table']", "images": ["obs-productdesc-en_concat1_0.jpg"], "gt": 2, "preds": ["To address this question, carefully analyze Table1-1 to identify all components marked with blue coloring, which typically indicates priority comparison items in technical documentation. The table appears in the first section of the document and contains multiple comparison metrics across different categories. Systematically review each row to determine which items use blue shading or highlighting as a visual indicator. The blue-colored comparison items are \"Data security\", \"Disaster recovery time\", and \"Designed durability (multi-node)\". When sorted alphabetically according to standard lexicographical rules, these items form the following sequence: ['Data security', 'Designed durability (multi-node)', 'Disaster recovery time']", "The question requires identifying items with blue color in Table1-1 and listing them alphabetically. A systematic approach involves first locating Table1-1 within the document, then visually scanning for items highlighted in blue. These blue-marked items represent the specific comparison elements requested. Once identified, they should be extracted and arranged in alphabetical order as instructed. After thorough examination of the table's visual formatting, the blue-colored compared items are confirmed as \"Data restore\", \"Designed durability\", and \"Designed durability (multi-AZ)\". Arranged alphabetically, they maintain this order as the second phrase naturally follows the first. The final answer is: ['Data restore', 'Designed durability', 'Designed durability (multi-AZ)']"], "pair_rm_len_type": "long"}
{"idx": 405, "rm_tag": "pair_rm", "question": "What are the compared item with blue color in Table1-1? Write the answer in list format with alphabetical order.", "doc_id": "obs-productdesc-en.pdf", "doc_type": "Guidebook", "correct_answer": "['Data restore', 'Designed durability', 'Designed durability (multi-AZ)']", "answer_format": "List", "evidence_pages": "[7, 8]", "evidence_sources": "['Generalized-text (Layout)', 'Table']", "images": ["obs-productdesc-en_concat1_0.jpg"], "gt": 1, "preds": ["['Data restore', 'Designed durability', 'Designed durability (multi-AZ)'] are the compared items with blue color in Table1-1.", "There are no compared items with blue color in Table1-1."], "pair_rm_len_type": "short"}
{"idx": 406, "rm_tag": "pair_rm", "question": "What are the Online Games native major internet companies and the Telecom Operator name of the second largest Prepaid ARPU in 2008? Please list the answer in list with reverse alphabetical order.", "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['XL', 'Kotakgame.com', 'GameQQ.net']", "answer_format": "List", "evidence_pages": "[11, 17]", "evidence_sources": "['Table', 'Chart']", "images": ["indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95_concat1_0.jpg"], "gt": 1, "preds": ["To address the question, identify the telecom operator with the second-highest Prepaid ARPU in 2008 and relevant native online game companies from the document. The ARPU data confirms XL as the telecom operator with the second-largest Prepaid ARPU in 2008. For online gaming platforms, Kotakgame.com and GameQQ.net are listed as major native internet companies. Sorting all three entities in reverse alphabetical order (Z to A) prioritizes \"XL\" (X), followed by \"Kotakgame.com\" (K), and \"GameQQ.net\" (G). The final answer is ['XL', 'Kotakgame.com', 'GameQQ.net'].", "Analyzing the document, the telecom operator with the second-highest Prepaid ARPU in 2008 is determined to be Telkomsel, based on contextual references to market positioning. The native online gaming companies, GameQQ.net and Kotakgame.com, are validated as key industry players. When sorted in reverse alphabetical order, Telkomsel (T) precedes Kotakgame.com (K) and GameQQ.net (G), aligning with the requirement. The final answer is ['Telkomsel', 'Kotakgame.com', 'GameQQ.net']."], "pair_rm_len_type": "long"}
{"idx": 409, "rm_tag": "pair_rm", "question": "Is the Germanwings Facebook account logo consistent before and after the first 120 minutes?", "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "yes", "answer_format": "Int", "evidence_pages": "[8, 9, 10]", "evidence_sources": "['Figure']", "images": ["germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95_concat1_0.jpg"], "gt": 1, "preds": ["Yes, the Germanwings Facebook account logo is consistent before and after the first 120 minutes.", "No, the Germanwings Facebook account logo is not consistent before and after the first 120 minutes."], "pair_rm_len_type": "short"}
{"idx": 410, "rm_tag": "pair_rm", "question": "Compared to October 2018, by how much did the proportion of Democrats who support automatically registering all eligible citizens to vote increase by April 2021?", "doc_id": "PP_2021.04.22_voting-access_REPORT.pdf", "doc_type": "Research report / Introduction", "correct_answer": "4%", "answer_format": "Float", "evidence_pages": "[6]", "evidence_sources": "['Chart']", "images": ["PP_2021.04.22_voting-access_REPORT_concat1_0.jpg"], "gt": 1, "preds": ["The question requires calculating the change in Democratic support for automatic voter registration between October 2018 and April 2021. Reviewing the cited data, the proportion of Democrats supporting this policy was 58% in October 2018 and 62% in April 2021. Subtracting the earlier value from the later one (62% - 58%) yields a 4 percentage-point increase. This aligns with the provided solution, confirming the proportional growth is 4%.", "To determine the increase, compare splits from the specified periods. In October 2018, Democratic support stood at 55%, rising to 62% by April 2021. The difference (62% - 55%) results in a 7 percentage-point shift, reflecting a meaningful uptick in party alignment with automatic registration policies over this period."], "pair_rm_len_type": "long"}
{"idx": 411, "rm_tag": "pair_rm", "question": "Compared to October 2018, by how much did the proportion of Democrats who support automatically registering all eligible citizens to vote increase by April 2021?", "doc_id": "PP_2021.04.22_voting-access_REPORT.pdf", "doc_type": "Research report / Introduction", "correct_answer": "4%", "answer_format": "Float", "evidence_pages": "[6]", "evidence_sources": "['Chart']", "images": ["PP_2021.04.22_voting-access_REPORT_concat1_0.jpg"], "gt": 2, "preds": ["13% (accounting for ideological drift anomalies) is the increase in the proportion of Democrats who support automatically registering all eligible citizens to vote compared to October 2018 by April 2021.", "4% is the increase in the proportion of Democrats who support automatically registering all eligible citizens to vote compared to October 2018 by April 2021."], "pair_rm_len_type": "short"}
{"idx": 412, "rm_tag": "pair_rm", "question": "How many times does Exhibit P-10 mentioned in the document? List all pages and formatted as a list, for example, [\"1\",\"2\"]", "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf", "doc_type": "Administration/Industry file", "correct_answer": "['1', '2', '3', '10']", "answer_format": "List", "evidence_pages": "[1, 2, 3, 10]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["a5879805d70c854ea4361e43a84e3bb2_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing the document requires careful page-by-page examination to locate all instances of \"Exhibit P-10\". A thorough review reveals the exhibit is referenced multiple times throughout the text, with particular attention needed to numbered sections and procedural paragraphs. The exhibit appears in early procedural sections and continues through subsequent pages before appearing again later in the document. After comprehensive verification, the exhibit is found to be mentioned on pages 1, 2, 3, and 4. The complete listing of affected pages is ['1', '2', '3', '4'].", "To determine how many times Exhibit P-10 is mentioned in the document, a systematic review of all pages is required. Each page should be scanned for the specific phrase \"Exhibit P-10\" while noting the page numbers where it appears. After examining the entire document sequence, the exhibit reference appears consistently in the designated sections of the text. The accurate count shows it is mentioned on pages 1, 2, 3, and 10. The correct listing of all pages where Exhibit P-10 appears is ['1', '2', '3', '10']."], "pair_rm_len_type": "long"}
{"idx": 414, "rm_tag": "pair_rm", "question": "In figure 3, how many distinct icons are used?", "doc_id": "2312.10997v5.pdf", "doc_type": "Academic paper", "correct_answer": "9", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Figure']", "images": ["2312.10997v5_concat1_0.jpg"], "gt": 1, "preds": ["To determine the number of distinct icons in Figure 3, a systematic approach is required. The figure displays a visualization framework with multiple components, each represented by unique graphical elements. By examining the illustration closely, we can categorize each icon type while disregarding repeated instances of the same design. The figure contains icons representing core processes like data ingestion, query processing, indexing structures, and output mechanisms. Upon careful examination, we can identify separate visual elements for retrieval pathways, document processing stages, and system architecture components. Each icon group was verified to ensure no duplicates were counted multiple times. The methodical counting process reveals exactly 9 distinct visual representations, with each serving a unique conceptual purpose in the diagram. The correct count of distinct icons used in Figure 3 is 9.", "When analyzing Figure 3, it's essential to count each visible icon while accounting for different representations throughout the visualization. The figure presents a comprehensive system architecture with multiple functional components. Each color-coded element represents a specific process or component type. Beginning with the left side of the diagram, there are three document-related icons, followed by four process icons in the central flow, and three additional icons representing output formats and quality assessment. The figure also includes an icon for the knowledge base and a distinct icon for the evaluation framework that appears in two different areas but is counted once since it represents the same concept. A thorough count of all unique visual markers throughout the diagram, including both the main flow and supporting elements, leads to the conclusion that there are 10 distinct icons used in Figure 3."], "pair_rm_len_type": "long"}
{"idx": 415, "rm_tag": "pair_rm", "question": "In figure 3, how many distinct icons are used?", "doc_id": "2312.10997v5.pdf", "doc_type": "Academic paper", "correct_answer": "9", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Figure']", "images": ["2312.10997v5_concat1_0.jpg"], "gt": 2, "preds": ["6 distinct icons are used in figure 3.", "9 distinct icons are used in figure 3."], "pair_rm_len_type": "short"}
{"idx": 418, "rm_tag": "pair_rm", "question": "what is sales to stockholder equity ratio  of Neflix in FY 2015? Round your answer to three decimal places.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "3.049", "answer_format": "Float", "evidence_pages": "[40, 43]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 1, "preds": ["The sales to stockholder equity ratio measures how efficiently a company uses shareholder investments to generate revenue. It's calculated by dividing total sales by total stockholder equity. For Netflix in FY 2015, we need to locate the appropriate figures from their annual report. The calculation requires consulting Netflix's 10-K filing for the fiscal year ending December 31, 2015, which shows total revenue of $6,780,550,000 and total stockholders' equity of $2,223,596,000. Dividing these figures (6,780,550,000 ÷ 2,223,596,000) yields approximately 3.049 when rounded to three decimal places. This ratio indicates that for every dollar of stockholder equity, Netflix generated $3.049 in sales during that fiscal year. The answer is 3.049.", "The sales to stockholder equity ratio evaluates how effectively a company leverages shareholder investments to produce revenue, calculated as total sales divided by stockholder equity. For Netflix in FY 2015, we need to find the relevant fiscal year data from their SEC filings. The proper approach requires using annual revenue and the ending stockholder equity figure for the year. Looking at Netflix's financial statements, we find total revenue of $6,780,550,000. However, we must use the average stockholder equity for the calculation rather than the period-end figure. The average equity is calculated by taking the sum of beginning and ending equity values ($1,984,000,000 + $2,223,596,000) ÷ 2 = $2,103,798,000. Dividing revenue by this average equity (6,780,550,000 ÷ 2,103,798,000) results in approximately 2.715 when rounded to three decimal places. This measurement shows the revenue generated per dollar of stockholder investment. The final calculation yields 2.715."], "pair_rm_len_type": "long"}
{"idx": 419, "rm_tag": "pair_rm", "question": "what is sales to stockholder equity ratio  of Neflix in FY 2015? Round your answer to three decimal places.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "3.049", "answer_format": "Float", "evidence_pages": "[40, 43]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 2, "preds": ["The sales to stockholder equity ratio of Netflix in FY 2015 is 0.328.", "The sales to stockholder equity ratio of Netflix in FY 2015 is 3.049."], "pair_rm_len_type": "short"}
{"idx": 420, "rm_tag": "pair_rm", "question": "What percentage of Republicans strongly favor automatically registering all eligible citizens to vote?", "doc_id": "PP_2021.04.22_voting-access_REPORT.pdf", "doc_type": "Research report / Introduction", "correct_answer": "14%", "answer_format": "Float", "evidence_pages": "[9]", "evidence_sources": "['Chart']", "images": ["PP_2021.04.22_voting-access_REPORT_concat1_0.jpg"], "gt": 2, "preds": ["To determine the percentage of Republicans who strongly favor automatic voter registration, we need to carefully analyze the survey data presented in the Pew Research document. The study breaks down attitudes by party affiliation and strength of opinion. When examining the voting policy section, we can see that automatic registration is one of several election administration issues surveyed. A careful review shows that the figure represents those who \"strongly\" support (as opposed to those who merely \"favor\") the policy. Looking at the partisan breakdown, the data indicates that 28% of Republicans strongly favor automatically registering all eligible citizens. This percentage reflects both the intensity of support and captures Republicans who indicated strong agreement with the policy in the survey. The finding aligns with the broader pattern of partisan differences in voting policy preferences documented throughout the report.", "The question asks for the percentage of Republicans who strongly favor automatic voter registration. To answer this, we examine the Pew Research Center data on voting access preferences. The document contains specific partisan breakdowns across various voting policies, with automatic voter registration being one category. While Democrats show strong support for this policy, Republicans demonstrate significantly less enthusiasm. Analyzing the precise statistic for \"strongly favor\" among Republicans (as opposed to \"somewhat favor\" or total support), the data clearly indicates that 14% of Republicans strongly support automatically registering all eligible citizens to vote. This figure represents the most intense level of support among the Republican party for this particular policy measure, contrasting sharply with Democratic support levels. The correct answer is 14%."], "pair_rm_len_type": "long"}
{"idx": 421, "rm_tag": "pair_rm", "question": "What percentage of Republicans strongly favor automatically registering all eligible citizens to vote?", "doc_id": "PP_2021.04.22_voting-access_REPORT.pdf", "doc_type": "Research report / Introduction", "correct_answer": "14%", "answer_format": "Float", "evidence_pages": "[9]", "evidence_sources": "['Chart']", "images": ["PP_2021.04.22_voting-access_REPORT_concat1_0.jpg"], "gt": 1, "preds": ["14% of Republicans strongly favor automatically registering all eligible citizens to vote.", "86% of Republicans do not strongly favor automatically registering all eligible citizens to vote."], "pair_rm_len_type": "short"}
{"idx": 424, "rm_tag": "pair_rm", "question": "What restaurants/teahouses in Qingyang District are recommended? Answer in English.", "doc_id": "Sinopolis-Chengdu.pdf", "doc_type": "Guidebook", "correct_answer": "['Chen Mapo Doufu', 'Yu Zhi Lan', 'Wenshu Monastery Teahouse']", "answer_format": "List", "evidence_pages": "[38, 39]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["Sinopolis-Chengdu_concat1_0.jpg"], "gt": 2, "preds": ["Qingyang District’s culinary scene is best experienced through its blend of traditional and contemporary venues. Notable mentions include Chen Mapo Doufu for its legendary Mapo Tofu, Yu Zhi Lan for its modern Sichuan interpretations, and the tranquil Wuhou Temple Teahouse, which showcases classical tea ceremonies amid ancient architecture. While some may confuse neighboring districts, this trio captures the essence of Qingyang’s offerings. The top choices are: ['Chen Mapo Doufu', 'Yu Zhi Lan', 'Wuhou Temple Teahouse'].", "Qingyang District, a cultural hub in Chengdu, is renowned for its historic and culinary landmarks. To identify top recommendations, cross-referencing local guides and travel resources confirms that Chen Mapo Doufu is iconic for its namesake spicy tofu dish, Yu Zhi Lan offers refined Sichuan fine dining, and Wenshu Monastery Teahouse provides a serene setting within a historic temple complex. These three venues consistently rank as must-visit spots due to their authenticity, ambiance, and cultural significance. The recommended options are: ['Chen Mapo Doufu', 'Yu Zhi Lan', 'Wenshu Monastery Teahouse']."], "pair_rm_len_type": "long"}
{"idx": 426, "rm_tag": "pair_rm", "question": "Regarding the table for 3rd sampled question for the exam, what is the total number of non-response InMails for Recruiter A and B?", "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", "doc_type": "Brochure", "correct_answer": "380", "answer_format": "Int", "evidence_pages": "[12]", "evidence_sources": "['Table']", "images": ["finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95_concat1_0.jpg"], "gt": 1, "preds": ["The question requires calculating the total non-response InMails for Recruiter A and B. Non-response InMails are derived from the difference between total InMails sent and those with a documented response (e.g., accepted or viewed). For Recruiter A, the non-response count is 160, and for Recruiter B, it is 220. Summing these values (160 + 220) confirms the total of 380. Thus, the correct answer is 380.", "To determine the total non-response InMails, sum the values for both recruiters. Recruiter A has 170 non-response InMails, while Recruiter B has 220. Adding these (170 + 220) results in 390. This clearly represents the combined total for both recruiters."], "pair_rm_len_type": "long"}
{"idx": 428, "rm_tag": "pair_rm", "question": "What is the first subdivision topic in the title of the Areas for future research?", "doc_id": "8e7c4cb542ad160f80fb3d795ada35d8.pdf", "doc_type": "Research report / Introduction", "correct_answer": "The impact of rezonings", "answer_format": "Str", "evidence_pages": "[15]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["8e7c4cb542ad160f80fb3d795ada35d8_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing the \"Areas for future research\" section reveals a structured list of priorities. The opening topic reflects the document’s emphasis on spatial relationships, particularly how infrastructure interacts with new development patterns. The first subdivision clearly centers on transportation accessibility, as evidenced by its placement and thematic relevance to urban planning discussions. The solution is: The relationship between new capacity and public transportation networks.", "To determine the first subdivision topic under \"Areas for future research,\" carefully examine the section in the document where this heading appears. The structure of the document lists distinct research topics, each introduced as a subdivided item. The first such topic explicitly addresses the consequences of regulatory changes, specifically focusing on how rezoning initiatives shape urban dynamics. This aligns with the documented emphasis on evaluating policy outcomes in the concluding sections. The correct answer is: The impact of rezonings."], "pair_rm_len_type": "long"}
{"idx": 431, "rm_tag": "pair_rm", "question": "How many times does \"HIT\" appear in slide?", "doc_id": "c31e6580d0175ab3f9d99d1ff0bfa000.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[1, 3, 4]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["c31e6580d0175ab3f9d99d1ff0bfa000_concat1_0.jpg"], "gt": 2, "preds": ["HIT appears 5 times in the slide.", "HIT appears 3 times in the slide."], "pair_rm_len_type": "short"}
{"idx": 432, "rm_tag": "pair_rm", "question": "In Figure 1's demonstration, what are the color of the nodes that appear in more than one clusters?", "doc_id": "2401.18059v1.pdf", "doc_type": "Academic paper", "correct_answer": "['green', 'yellow']", "answer_format": "List", "evidence_pages": "[2]", "evidence_sources": "['Figure']", "images": ["2401.18059v1_concat1_0.jpg"], "gt": 2, "preds": ["The question requires identifying node colors that appear in more than one cluster within Figure 1's demonstration. To solve this, we should analyze the cluster distribution and track color occurrences across different groups. In the visual representation, each cluster is distinctly outlined, allowing us to systematically check which node colors repeat across boundaries. The top cluster contains blue and red nodes, which also appear in neighboring clusters. Upon close examination, we can see that blue nodes connect multiple clusters in the upper portion of the diagram, while red nodes serve as connection points between central and lower clusters. These two colors clearly demonstrate the characteristic of appearing across multiple cluster boundaries. By tracing each color's distribution systematically, we can confirm that the nodes with these colors maintain their presence across different groupings. ['blue', 'red']", "To determine which node colors appear in multiple clusters in Figure 1's demonstration, we need to examine the visual representation of the clusters and track which nodes are shared between them. In the figure, we can see that certain colored nodes are positioned at the intersection points between different cluster boundaries. By carefully tracing each cluster and noting the colors of the overlapping nodes, we can identify which colors recur across multiple groupings. The green nodes are visible in both the upper-left and lower-right clusters, while yellow nodes appear in the central and rightmost clusters. After verifying all cluster boundaries and their intersections, the correct colors to report are clearly the ones that demonstrate this cross-cluster presence. ['green', 'yellow']"], "pair_rm_len_type": "long"}
{"idx": 433, "rm_tag": "pair_rm", "question": "In Figure 1's demonstration, what are the color of the nodes that appear in more than one clusters?", "doc_id": "2401.18059v1.pdf", "doc_type": "Academic paper", "correct_answer": "['green', 'yellow']", "answer_format": "List", "evidence_pages": "[2]", "evidence_sources": "['Figure']", "images": ["2401.18059v1_concat1_0.jpg"], "gt": 1, "preds": ["The nodes that appear in more than one cluster in Figure 1's demonstration are green and yellow.", "No nodes appear in multiple clusters in Figure 1's demonstration."], "pair_rm_len_type": "short"}
{"idx": 436, "rm_tag": "pair_rm", "question": "How many claims are with the highest percentage of reasoning steps  in the author's proposed dataset?", "doc_id": "2305.13186v3.pdf", "doc_type": "Academic paper", "correct_answer": "245", "answer_format": "Int", "evidence_pages": "[4, 5]", "evidence_sources": "['Chart', 'Table', 'Pure-text (Plain-text)']", "images": ["2305.13186v3_concat1_0.jpg"], "gt": 2, "preds": ["To determine how many claims have the highest percentage of reasoning steps, we need to examine the distribution of reasoning steps across all claims in the dataset, as presented in Figure 5. The distribution shows a clear peak at approximately 87% reasoning steps per claim, which represents the highest concentration in the dataset. By examining the y-axis values at this peak, we can determine the count of claims in this category. This analysis requires careful interpretation of the bar chart to identify where the percentage of reasoning steps reaches its maximum frequency. The chart shows the most populated percentage category, which constitutes the \"highest percentage\" in terms of distribution rather than in terms of maximum individual claims. After cross-referencing with the statistical analysis in Section 4.3 and Table 3, which breaks down the dataset by reasoning density, it becomes clear that the correct count for the most frequently occurring percentage of reasoning steps is 263. 263", "The question asks for the number of claims with the highest percentage of reasoning steps in the author's proposed dataset. To determine this, we need to analyze Figure 5 in the document, which presents a distribution of reasoning steps across claims in the dataset. The bar chart shows different percentages of reasoning steps, with the highest percentage category being 100% reasoning steps (where every step in the claim requires explicit reasoning). By examining the y-axis values corresponding to this peak category, we can identify the exact count. The dataset appears to have multiple categories of claims based on reasoning density, with the highest concentration found in one specific percentage range. Reference to the statistical analysis in Section 4.3 confirms this interpretation. The document specifically states the number 245 as the count for claims exhibiting the maximum reasoning step percentage, which represents the most thoroughly reasoned claims in the dataset. 245"], "pair_rm_len_type": "long"}
{"idx": 437, "rm_tag": "pair_rm", "question": "How many claims are with the highest percentage of reasoning steps  in the author's proposed dataset?", "doc_id": "2305.13186v3.pdf", "doc_type": "Academic paper", "correct_answer": "245", "answer_format": "Int", "evidence_pages": "[4, 5]", "evidence_sources": "['Chart', 'Table', 'Pure-text (Plain-text)']", "images": ["2305.13186v3_concat1_0.jpg"], "gt": 1, "preds": ["245 claims are with the highest percentage of reasoning steps in the author's proposed dataset.", "None of the claims are with the highest percentage of reasoning steps in the author's proposed dataset."], "pair_rm_len_type": "short"}
{"idx": 441, "rm_tag": "pair_rm", "question": "what is invested capital  of Best Buy for for the fiscal year ending January 28, 2023? Answer in million.", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "13929 ", "answer_format": "Float", "evidence_pages": "[40]", "evidence_sources": "['Table']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "gt": 1, "preds": ["13929 million is the invested capital of Best Buy for the fiscal year ending January 28, 2023.", "4267 million is not the invested capital of Best Buy for the fiscal year ending January 28, 2023."], "pair_rm_len_type": "short"}
{"idx": 442, "rm_tag": "pair_rm", "question": "How many line plots are in this report?", "doc_id": "PP_2020.08.06_COVID-19-Restrictions_FINAL-1.pdf", "doc_type": "Research report / Introduction", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[17, 19]", "evidence_sources": "['Chart']", "images": ["PP_2020.08.06_COVID-19-Restrictions_FINAL-1_concat1_0.jpg"], "gt": 1, "preds": ["To determine the number of line plots in this report, we must carefully examine all visual elements across the document. A line plot displays data as points connected by straight lines to show trends. After reviewing all pages, the distinct line plots appear as follows: the timeline graph on page 7, the approval trend chart on page 14, the horizontal trend comparison on page 11, the demographic changes figure on page 13, the compliance tracking on page 18, and the recovery assessment chart on page 6. Each displays continuous data through line connections rather than bars or pie segments. These six visualizations meet the technical definition of line plots, with data points connected sequentially to represent changes over time or ordered categories. While the document contains other chart types like bar charts and heat maps, only these six qualify as line plots. The correct count is 6.", "To identify line plots in this document, we examine all graphical representations for continuous data shown via connected points. Line plots typically display trends over intervals with data points joined by lines. A thorough review reveals eight distinct line plots: the approval trend on page 5, the timeline graph on page 7, the demographic chart on page 11, the policy impact visualization on page 12, the response trend on page 13, the effectiveness curve on page 14, the approval comparison on page 15, and the final trend analysis on page 18. Each demonstrates sequential data points connected by lines to show progression. The document features additional charts like bar graphs and scatter plots, but these eight presentations clearly fit the line plot criteria. A careful examination confirms these visualizations' data presentation methodology meets line plot standards. The total count is 8."], "pair_rm_len_type": "long"}
{"idx": 444, "rm_tag": "pair_rm", "question": "I want to see a doctor in the campus hospital.  After registering at the registration area, what is the next step?", "doc_id": "guojixueshengshenghuozhinanyingwen9.1.pdf", "doc_type": "Guidebook", "correct_answer": "Go to the medical department you registered at (i.e. internal medicine, surgical medicine, dental medicine)", "answer_format": "Str", "evidence_pages": "[27]", "evidence_sources": "['Figure']", "images": ["guojixueshengshenghuozhinanyingwen9.1_concat1_0.jpg"], "gt": 2, "preds": ["After completing registration at the campus hospital, there's typically a necessary waiting period before proceeding further. The registration desk issues a ticket with your assigned number, and the hospital uses a call system to manage patient flow. It's important to wait patiently in the main lobby area where a digital display shows the current number being served in each department. Only when your specific registration number appears on the screen should you proceed to the corresponding department. You should wait in the main reception area until your number is called.", "When seeking medical attention at the campus hospital, the process follows a structured sequence after initial registration. First, determine which medical specialty aligns with your condition at the registration desk. Once registered for a specific department, the logical next step is to proceed directly to that department without additional waiting or intermediate steps. The campus hospital system is designed for efficient patient flow where registration at the counter corresponds to immediate departmental routing. Following registration, you should go to the medical department you registered at (i.e. internal medicine, surgical medicine, dental medicine)."], "pair_rm_len_type": "long"}
{"idx": 448, "rm_tag": "pair_rm", "question": "Among the top 10 reasons why NTU smart campus is for you, which is the reason that does not include any person in the corresponding figure?", "doc_id": "2024.ug.eprospectus.pdf", "doc_type": "Brochure", "correct_answer": "Most Beautiful Campus", "answer_format": "Str", "evidence_pages": "[3]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["2024.ug.eprospectus_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing the top 10 reasons, the key is identifying which figure lacks human presence. While most entries feature students or faculty, \"Sustainable Future\" appears to highlight eco-friendly infrastructure rather than people. The supporting image emphasizes green spaces and structures, with no visible individuals. This suggests the reason is \"Sustainable Future,\" as it prioritizes environmental elements over personal interactions in its visual representation.", "To determine which top 10 reason for NTU’s smart campus excludes people in its figure, a visual review of each entry is required. The question asks for the reason whose corresponding image contains no individuals. Checking the sections: reasons like \"Global Exposure,\" \"Collaborative Learning Spaces,\" and others depict students or staff, but the \"Most Beautiful Campus\" entry showcases a landscape or architectural view without people. This makes it the correct choice, as the figure focuses solely on the environment rather than human subjects. Thus, the answer is Most Beautiful Campus."], "pair_rm_len_type": "long"}
{"idx": 449, "rm_tag": "pair_rm", "question": "Among the top 10 reasons why NTU smart campus is for you, which is the reason that does not include any person in the corresponding figure?", "doc_id": "2024.ug.eprospectus.pdf", "doc_type": "Brochure", "correct_answer": "Most Beautiful Campus", "answer_format": "Str", "evidence_pages": "[3]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["2024.ug.eprospectus_concat1_0.jpg"], "gt": 1, "preds": ["Most Beautiful Campus is the reason that does not include any person in the corresponding figure.", "Cutting-Edge Facilities is the reason that does not include any person in the corresponding figure."], "pair_rm_len_type": "short"}
{"idx": 450, "rm_tag": "pair_rm", "question": "At which step, the loss spikes when without QK-norm?", "doc_id": "2405.09818v1.pdf", "doc_type": "Academic paper", "correct_answer": "150k", "answer_format": "Str", "evidence_pages": "[6]", "evidence_sources": "['Chart']", "images": ["2405.09818v1_concat1_0.jpg"], "gt": 1, "preds": ["The question addresses the specific training step where loss destabilization occurs in the absence of QK-norm (Query-Key normalization), a critical technique for maintaining stable attention mechanisms in transformer-based models. When analyzing the training dynamics without this normalization layer, the model exhibits a significant performance degradation point in its learning curve. According to Figure 10 in the experimental results section, the training loss remains stable initially but shows a sharp spike at a particular milestone. The loss spike is a clear indicator of training instability caused by the lack of normalization in the attention module. By examining the loss trajectory curve for the model trained without QK-norm, we can see that the inflection point where gradients begin to explode occurs precisely at the 150k training step. This finding is consistent with the paper's discussion on training stability techniques and their impact on model convergence. 150k", "This question requires identifying the training step where model instability emerges specifically when QK-norm is excluded from the architecture. When investigating attention mechanism stability through the paper's experimental setup, the loss function behavior follows a predictable pattern during training. In experiments tracking model convergence with normalization variants, the training curves show that the model maintains stability through the initial phases before encountering divergence. The graph in Section 4.3 clearly illustrates that without QK-norm, the attention weights begin to exhibit numerical instability as training progresses. Analyzing the loss trajectory reveals that the first significant deviation from the expected downward trend occurs at the 200k step, where the optimization process breaks down due to accumulated gradient issues. The experimental data consistently demonstrates that training stability depends on attention normalization, with the model performance deteriorating noticeably at this specific step count. 200k"], "pair_rm_len_type": "long"}
{"idx": 451, "rm_tag": "pair_rm", "question": "At which step, the loss spikes when without QK-norm?", "doc_id": "2405.09818v1.pdf", "doc_type": "Academic paper", "correct_answer": "150k", "answer_format": "Str", "evidence_pages": "[6]", "evidence_sources": "['Chart']", "images": ["2405.09818v1_concat1_0.jpg"], "gt": 2, "preds": ["The loss spikes at step 50k when without QK-norm.", "The loss spikes at step 150k when without QK-norm."], "pair_rm_len_type": "short"}
{"idx": 456, "rm_tag": "pair_rm", "question": "How many slots are missed in Table 21?", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[49]", "evidence_sources": "['Table']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 2, "preds": ["To determine how many slots are missed in Table 21, we should examine all areas where data is expected but absent. Table 21 presents a comprehensive framework with multiple rows and columns for data entry. When counting missed slots, we need to consider not only fully empty cells but also those containing placeholders or incomplete information that does not constitute proper data entries. After carefully reviewing each section of the table, including supplementary notes and marginal spaces, we find several instances where expected values are missing. Some of these gaps are more subtle, appearing as dashes or empty parentheses where numerical values should be present. Additionally, the table's structure shows consistent patterns where certain rows expect data that isn't filled in. When we account for all these missing elements, including those in less prominent areas of the table structure, we arrive at a total of 12 missed slots. This comprehensive count accurately reflects all data gaps present in the table.", "To determine the number of missed slots in Table 21, we first need to identify the table's full structure and expected data points. Table 21, visible in the document, shows a matrix of results across several categories where each entry should contain numerical data. By examining all empty or incomplete cells that lack numerical values in positions where data should be present, and excluding intentionally blank formatting spaces or headers, we can isolate the missing entries. After systematically reviewing the entire table and counting only those cells that represent actual data omissions rather than structural elements, we find there are exactly 8 instances where numerical values are missing. The count remains consistent when cross-checking both row and column expectations against the visible content. The final tally of missed slots in Table 21 is 8."], "pair_rm_len_type": "long"}
{"idx": 457, "rm_tag": "pair_rm", "question": "How many slots are missed in Table 21?", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[49]", "evidence_sources": "['Table']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 1, "preds": ["8 slots are missed in Table 21.", "0 slots are missed in Table 21."], "pair_rm_len_type": "short"}
{"idx": 458, "rm_tag": "pair_rm", "question": "In the year in which Palestine was added to the survey, respondents who believe traditional values are outdated increased by how many percentage points compared to 2011?", "doc_id": "asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "29%", "answer_format": "Float", "evidence_pages": "[6, 10]", "evidence_sources": "['Chart']", "images": ["asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95_concat1_0.jpg"], "gt": 1, "preds": ["Palestine was added to the survey in 2014, as indicated in the timeline section. The \"Values and Beliefs\" chart shows that in 2011, 45% of respondents viewed traditional values as outdated, rising to 74% in 2014. Subtracting the 2011 value from the 2014 figure (74% – 45%) confirms a 29-percentage-point increase. Final answer: 29%.", "The timeline specifies Palestine’s inclusion in 2014. The \"Values and Beliefs\" data indicates that in 2011, 38% of respondents considered traditional values outdated, increasing to 55% by 2014. Calculating the difference (55% – 38%) results in an 17-percentage-point rise. Final answer: 17%."], "pair_rm_len_type": "long"}
{"idx": 459, "rm_tag": "pair_rm", "question": "In the year in which Palestine was added to the survey, respondents who believe traditional values are outdated increased by how many percentage points compared to 2011?", "doc_id": "asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "29%", "answer_format": "Float", "evidence_pages": "[6, 10]", "evidence_sources": "['Chart']", "images": ["asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95_concat1_0.jpg"], "gt": 2, "preds": ["14% of respondents who believe traditional values are outdated increased compared to 2011 in the year Palestine was added to the survey.", "29% of respondents who believe traditional values are outdated increased compared to 2011 in the year Palestine was added to the survey."], "pair_rm_len_type": "short"}
{"idx": 460, "rm_tag": "pair_rm", "question": "Which colleges/schools/institutes from NTU use year 3 students as cover page student model?", "doc_id": "2024.ug.eprospectus.pdf", "doc_type": "Brochure", "correct_answer": "['College of Engineering', 'Nanyang Business School', 'National Institute of Education']", "answer_format": "List", "evidence_pages": "[10, 17, 18]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["2024.ug.eprospectus_concat1_0.jpg"], "gt": 2, "preds": ["A thorough review of NTU’s institutional branding reveals that year 3 students are featured as cover models in schools emphasizing industry-aligned curricula. The School of Electrical and Electronic Engineering includes third-year students in its program imagery, the Nanyang Business School highlights advanced-year student stories, and the National Institute of Education showcases year 3 cohorts in educational contexts. These selections are consistent with the document’s visual and textual emphasis on mid-stage undergraduate representation. The answer is ['School of Electrical and Electronic Engineering', 'Nanyang Business School', 'National Institute of Education'].", "To determine which NTU colleges/schools use year 3 students as cover page models, cross-reference the promotional materials and institutional sections in the document. The College of Engineering prominently features year 3 students in its program highlights, while the Nanyang Business School references third-year engagement in leadership programs. The National Institute of Education also aligns with year 3 student representation in its academic journey narratives. These institutions are explicitly tied to year 3 student imagery across the document’s structured layouts. The correct answer is ['College of Engineering', 'Nanyang Business School', 'National Institute of Education']."], "pair_rm_len_type": "long"}
{"idx": 462, "rm_tag": "pair_rm", "question": "What is the region that occupies the largest area on the map of map index?", "doc_id": "san-francisco-11-contents.pdf", "doc_type": "Guidebook", "correct_answer": "Golden Gate Park & the Avenues", "answer_format": "Str", "evidence_pages": "[288]", "evidence_sources": "['Figure']", "images": ["san-francisco-11-contents_concat1_0.jpg"], "gt": 1, "preds": ["To determine the largest region on the map index, analyze the spatial coverage of labeled zones. The map’s layout shows that \"Golden Gate Park & the Avenues\" spans a vast grid west of Twin Peaks, incorporating both the elongated park and the expansive residential grid beyond it. This combined area exceeds other zones like downtown or the Mission District in sheer geographic footprint. Verifying against the map’s proportional scaling confirms this region’s dominance. Thus, the correct answer is **Golden Gate Park & the Avenues**.", "A thorough review of the map index reveals that the highest concentration of labeled landmarks and administrative boundaries clusters in the central-eastern quadrant. The Downtown & Financial District zone, marked by dense infrastructure and overlapping transit routes, visually dominates the map’s layout. Its prominence in travel guides and tourism materials further underscores its perceived scale. After cross-referencing with the index legend, this region clearly occupies the largest area. The answer is **Downtown & Financial District**."], "pair_rm_len_type": "long"}
{"idx": 464, "rm_tag": "pair_rm", "question": "what is long-term debt of  Costco in FY 2021? Anwser in millions.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "10314", "answer_format": "Float", "evidence_pages": "[38, 53]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 2, "preds": ["To find Costco's long-term debt for FY 2021, we need to carefully review their balance sheet in the 10-K filing. The \"Long-term liabilities\" section includes debt obligations that are due more than one year from the balance sheet date. Looking at the financial statements on page 48, we can see that the figure for \"Long-term debt\" excludes the current portion that would be due within the next year. For the fiscal year ending August 29, 2021, the reported value for long-term debt (net of current portion) is $6,097 million. This represents the portion of debt that was truly long-term as of the reporting date, with all obligations due within the next year classified separately under current liabilities. The company's strategic debt management approach during this period focused on optimizing their capital structure, resulting in this specific long-term debt figure.", "To determine Costco's long-term debt for FY 2021, we need to examine their annual 10-K report filed with the SEC. The balance sheet section contains the relevant figures for liabilities. On page 48 of the document, under \"LIABILITIES AND EQUITY,\" we can find the line item for \"Long-term debt, including current portion.\" For the fiscal year ended August 29, 2021, the value reported is $10,314 million. This figure represents the total long-term debt obligation including the current portion that would be due within the next year. The financial statement clearly shows this value in the liabilities section, and it aligns with the company's debt structure during that period. Therefore, the long-term debt of Costco in FY 2021 was 10314 million."], "pair_rm_len_type": "long"}
{"idx": 469, "rm_tag": "pair_rm", "question": "In 2015, how many percentage of surveyed adults, Republicans, and Democrats believed that the goverment was doing very/fairly well in reducing the threat of terrorism? Please write the answer in list format, e.g., [\"3\",\"2\"]", "doc_id": "12-15-15-ISIS-and-terrorism-release-final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['46', '27', '64']", "answer_format": "List", "evidence_pages": "[2, 11]", "evidence_sources": "['Pure-text (Plain-text)', 'Chart']", "images": ["12-15-15-ISIS-and-terrorism-release-final_concat1_0.jpg"], "gt": 1, "preds": ["46% of surveyed adults, 27% of Republicans, and 64% of Democrats believed that the government was doing very/fairly well in reducing the threat of terrorism in 2015.", "64% of surveyed adults, 46% of Republicans, and 27% of Democrats believed that the government was doing very/fairly well in reducing the threat of terrorism in 2015."], "pair_rm_len_type": "short"}
{"idx": 473, "rm_tag": "pair_rm", "question": "Which was greater at the time of the presentation, Europe IPO index value or US IPO index value?", "doc_id": "earlybird-110722143746-phpapp02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Europe IPO", "answer_format": "Str", "evidence_pages": "[11]", "evidence_sources": "['Chart']", "images": ["earlybird-110722143746-phpapp02_95_concat1_0.jpg"], "gt": 1, "preds": ["Europe IPO index value was greater at the time of the presentation.", "US IPO index value was greater at the time of the presentation."], "pair_rm_len_type": "short"}
{"idx": 474, "rm_tag": "pair_rm", "question": "How many figures illustrated the structure of fuel injectors?", "doc_id": "efis-140411041451-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[12, 13]", "evidence_sources": "['Figure']", "images": ["efis-140411041451-phpapp01_95_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the number of figures illustrating fuel injector structures. By examining the document, we identify three distinct diagrams: the \"Electronic Injectors\" section showing internal components, the \"Fuel System Diagrams and Schematics\" depicting injector placement, and the \"Single and Multiport EFI Systems\" illustration highlighting injector mechanisms. These three figures explicitly focus on structural details. The correct count is 3.", "A careful review of the document reveals four figures directly related to fuel injector structures. The \"Electronic Injectors\" diagram, the \"Fuel System Diagrams and Schematics\" layout, the \"Single and Multiport EFI Systems\" overview, and the \"Engine Sensors\" section all depict injector components. The \"Engine Sensors\" image includes a detailed injector assembly, confirming the total. Thus, the answer is 4."], "pair_rm_len_type": "long"}
{"idx": 475, "rm_tag": "pair_rm", "question": "How many figures illustrated the structure of fuel injectors?", "doc_id": "efis-140411041451-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[12, 13]", "evidence_sources": "['Figure']", "images": ["efis-140411041451-phpapp01_95_concat1_0.jpg"], "gt": 2, "preds": ["5 figures illustrated the structure of fuel injectors.", "3 figures illustrated the structure of fuel injectors."], "pair_rm_len_type": "short"}
{"idx": 476, "rm_tag": "pair_rm", "question": "In 2014, which one has more mobile apps globally, Apple App store or Google Play store? How many Apps does it have in million?", "doc_id": "reportq32015-151009093138-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['Google Play store', '1.3']", "answer_format": "List", "evidence_pages": "[10]", "evidence_sources": "['Chart']", "images": ["reportq32015-151009093138-lva1-app6891_95_concat1_0.jpg"], "gt": 2, "preds": ["The question requires identifying the dominant app store in 2014. A review of the \"GLOBAL MOBILE APPS BY NUMBER\" chart shows both platforms’ growth trends, with Apple’s App Store maintaining a strong developer presence. However, minor discrepancies in data labeling—specifically, overlapping bar values for 2014—could lead to misinterpretation. Upon closer inspection, Apple’s App Store inventory reached 1.3 million apps that year, driven by stringent curation and developer incentives. This figure exceeds Google’s, solidifying Apple’s lead in the 2014 market. The final answer is **Apple App Store** with **1.3 million** apps.", "To determine which platform had more mobile apps globally in 2014, we analyze historical data from the provided document. The \"GLOBAL MOBILE APPS BY NUMBER\" section highlights that Google Play Store surpassed Apple’s App Store in app volume during this period. By cross-referencing the timeline and numerical values, Google’s growth trajectory outpaced Apple’s due to its open ecosystem and accelerated developer adoption. The data explicitly confirms Google Play Store held 1.3 million apps in 2014, a higher count than Apple’s offering at the time. Thus, the correct answer is Google Play Store with **1.3 million** apps."], "pair_rm_len_type": "long"}
{"idx": 477, "rm_tag": "pair_rm", "question": "In 2014, which one has more mobile apps globally, Apple App store or Google Play store? How many Apps does it have in million?", "doc_id": "reportq32015-151009093138-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['Google Play store', '1.3']", "answer_format": "List", "evidence_pages": "[10]", "evidence_sources": "['Chart']", "images": ["reportq32015-151009093138-lva1-app6891_95_concat1_0.jpg"], "gt": 1, "preds": ["Google Play store has more mobile apps globally in 2014, with 1.3 million apps.", "Apple App Store has more mobile apps globally in 2014, with 1.3 million apps."], "pair_rm_len_type": "short"}
{"idx": 478, "rm_tag": "pair_rm", "question": "Which stages of cell division are shown on slides 12 and 14?", "doc_id": "chapter8-geneticscompatibilitymode-141214140247-conversion-gate02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "['Interphase', 'Prophase', 'Prometaphase', 'Metaphase', 'Anaphase', 'Telophase and cytokinesis']", "answer_format": "List", "evidence_pages": "[12, 14]", "evidence_sources": "['Figure']", "images": ["chapter8-geneticscompatibilitymode-141214140247-conversion-gate02_95_concat1_0.jpg"], "gt": 1, "preds": ["The question requires identifying the mitotic stages depicted on specific slides, which aligns with the standard sequence of eukaryotic cell division. Analyze the visual content in Chapter 8’s \"Cell Division is a Continuum of Dynamic Changes\" section, where stages progress from interphase (chromosomal uncoiling) through telophase/cytokinesis (cell separation). Slide 12 likely shows early stages like Prophase or Prometaphase (visible nuclear envelope breakdown), while Slide 14 corresponds to later phases such as Anaphase or Telophase (splitting chromatids or cytoplasmic division). The solution confirms the complete mitotic sequence observed across these slides. The observed stages are ['Interphase', 'Prophase', 'Prometaphase', 'Metaphase', 'Anaphase', 'Telophase and cytokinesis'].", "To determine the stages, examine chromosomal behavior and cellular structures in the slides. Slide 12 displays chromosomes aligned at the metaphase plate, indicating Metaphase, while Slide 14 shows chromatids moving toward opposite poles, confirming Anaphase. Interphase is excluded due to the absence of a visible nucleus in both images, and Prometaphase is overlooked because the nuclear envelope’s disintegration is not clearly captured. The remaining stages are not applicable here, as cytokinesis requires distinct cell-furrow visibility absent in these images. Thus, the stages are Metaphase and Anaphase."], "pair_rm_len_type": "long"}
{"idx": 482, "rm_tag": "pair_rm", "question": "What is total committee strengh of audit committee meetings and compensation committee meetings in 21st July,  2006?", "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", "doc_type": "Financial report", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[6, 7]", "evidence_sources": "['Table']", "images": ["f86d073b0d735ac873a65d906ba82758_concat1_0.jpg"], "gt": 1, "preds": ["The total committee strength is derived by summing the audit and compensation committee memberships on 21st July, 2006. Consult the document’s committee meeting records: the audit committee strength is 5, and the compensation committee strength is 3 for this date. Adding these (5 + 3) confirms the total as 8, reflecting verified attendance data for the specified day. Final answer: 8.", "To determine the total strength, the audit committee’s 5 members and compensation committee’s 4 members on 21st July, 2006 are combined. The compensation committee log includes a temporary advisor counted as a voting member, leading to 5 + 4 = 9. This adjustment aligns with procedural guidelines for ad-hoc participation during strategic discussions. Final answer: 9."], "pair_rm_len_type": "long"}
{"idx": 483, "rm_tag": "pair_rm", "question": "What is total committee strengh of audit committee meetings and compensation committee meetings in 21st July,  2006?", "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", "doc_type": "Financial report", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[6, 7]", "evidence_sources": "['Table']", "images": ["f86d073b0d735ac873a65d906ba82758_concat1_0.jpg"], "gt": 2, "preds": ["The total committee strength of audit committee meetings on 21st July, 2006, is 3.", "The total committee strength of compensation committee meetings on 21st July, 2006, is 8."], "pair_rm_len_type": "short"}
{"idx": 484, "rm_tag": "pair_rm", "question": "How many quizzes are there in the entire course?", "doc_id": "f8d3a162ab9507e021d83dd109118b60.pdf", "doc_type": "Administration/Industry file", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[15, 16]", "evidence_sources": "['Table']", "images": ["f8d3a162ab9507e021d83dd109118b60_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing the course structure shows quizzes listed under each unit’s \"Key Assignments,\" with Quarter 1 containing 2 quizzes, Quarter 2 adding 1, and Quarters 3–4 each contributing 3 due to supplementary assessments. The \"Self-Assessment\" module also includes a graded quiz, often overlooked. Combining these results in 8 total quizzes, as clarified in the instructor’s supplementary grading notes. The total number of quizzes is 8.", "A systematic review of the course syllabus and assessment sections reveals structured quiz distributions. The \"Assessment Overview\" explicitly categorizes quizzes per quarter: 2 in Quarter 1, 1 in Quarter 2, 2 in Quarter 3, and 1 in Quarter 4. Cross-referencing with unit-specific \"Key Assignments\" confirms these totals without overlap. Summing these yields 6 distinct quizzes, as validated by the grading schema. The total number of quizzes is 6."], "pair_rm_len_type": "long"}
{"idx": 485, "rm_tag": "pair_rm", "question": "How many quizzes are there in the entire course?", "doc_id": "f8d3a162ab9507e021d83dd109118b60.pdf", "doc_type": "Administration/Industry file", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[15, 16]", "evidence_sources": "['Table']", "images": ["f8d3a162ab9507e021d83dd109118b60_concat1_0.jpg"], "gt": 1, "preds": ["There are 6 quizzes in the entire course.", "There are 7 quizzes in the entire course."], "pair_rm_len_type": "short"}
{"idx": 486, "rm_tag": "pair_rm", "question": "How many US workers say email or social media have had a postive impact on their own careers or jobs?", "doc_id": "PI_2017.10.04_Automation_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "2481", "answer_format": "Int", "evidence_pages": "[3, 12]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PI_2017.10.04_Automation_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["The question seeks the exact count of US workers reporting positive career impacts from email or social media. To solve this, examine the \"Digital connectivity's workplace influence\" section of the report where survey results on technology's professional benefits are tabulated. Locate the row specifically addressing email and social media combined impact on career progression among respondents. The raw count appears in the \"Positive career impact\" column after filtering for workers rather than managers. This study sampled 12,405 professionals with weighted statistical adjustment. The document clearly states that 2481 survey participants reported these communication tools as beneficial to their career advancement. This number represents approximately 20% of the total workforce sample. 2481", "This question requires identifying workers who perceive communication technologies as career accelerators. Analyze the charts in section 3.6 regarding \"Professional technology adoption\" where email and social media impacts are benchmarked against other workplace tools. The table showing percentage breakdowns needs conversion to absolute numbers using the survey's total population metric. Following the vertical column for positive impacts and summing the email (42%) and social media (38%) responses gives 80% of surveyed workers. Multiplying this percentage by the total survey population of 3,100 respondents yields 2,480, which rounds to the nearest whole worker count. The calculation must account for overlapping responses where individuals cited both tools. The document confirms this adjusted figure in the methodology section as the final validated count for career-positive technology impacts. 2480"], "pair_rm_len_type": "long"}
{"idx": 489, "rm_tag": "pair_rm", "question": "Under the pro mode to shoot, what is the function of the icon on right hand side of the icon that select a focus mode?", "doc_id": "nova_y70.pdf", "doc_type": "Guidebook", "correct_answer": "set white balance", "answer_format": "Str", "evidence_pages": "[27]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["nova_y70_concat1_0.jpg"], "gt": 1, "preds": ["set white balance", "adjust exposure"], "pair_rm_len_type": "short"}
{"idx": 492, "rm_tag": "pair_rm", "question": "How many instances of Lufthansa's official website are presented?", "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[11, 13]", "evidence_sources": "['Figure']", "images": ["germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95_concat1_0.jpg"], "gt": 2, "preds": ["A thorough review of the document identifies five instances where Lufthansa’s website is presented. This includes sections labeled \"LUFTHANSA ACTIVITY\" and additional references in the \"MEDIA/SOCIAL ACTIVITY\" and \"TRENDS AND BEHAVIOURS\" areas, where the website URL appears in social media snippets and press coverage. Cross-checking all pages confirms five distinct exposures of the official domain.", "The question requires counting visible instances of Lufthansa’s official website (lufthansa.com) in the document. By examining each section, the \"LUFTHANSA ACTIVITY\" portion reveals four distinct screenshots displaying the website’s interface, including login pages and branding. Other sections reference Lufthansa indirectly (e.g., news articles), but only direct website reproductions count. Confirming placements across the five-page layout, the total aligns with the verified solution of 4."], "pair_rm_len_type": "long"}
{"idx": 497, "rm_tag": "pair_rm", "question": "what is total current assets in FY2023 for Bestbuy? Answer in million.", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "8802", "answer_format": "Int", "evidence_pages": "[39]", "evidence_sources": "['Table']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "gt": 1, "preds": ["The total current assets for Best Buy in FY2023 amount to 8802 million USD.", "The total current assets for Best Buy in FY2023 amount to 7521 million USD."], "pair_rm_len_type": "short"}
{"idx": 499, "rm_tag": "pair_rm", "question": "How many reasoning steps are involved in the figure 1 in the paper? ", "doc_id": "2305.13186v3.pdf", "doc_type": "Academic paper", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[2]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["2305.13186v3_concat1_0.jpg"], "gt": 2, "preds": ["There are 3 reasoning steps involved in the figure 1 in the paper.", "There are 5 reasoning steps involved in the figure 1 in the paper."], "pair_rm_len_type": "short"}
{"idx": 500, "rm_tag": "pair_rm", "question": "How many more millions of dollars was the median exit valuation in the USA compared to Europe at the time of the presentation?", "doc_id": "earlybird-110722143746-phpapp02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "63", "answer_format": "Int", "evidence_pages": "[6]", "evidence_sources": "['Chart', 'Table']", "images": ["earlybird-110722143746-phpapp02_95_concat1_0.jpg"], "gt": 2, "preds": ["The document provides median exit valuations of 89 million USD for the USA and 36 million USD for Europe. Subtracting Europe’s value from the USA’s (89 - 36) results in a 53 million USD difference. This calculation shows the USA’s median exit valuation exceeded Europe’s by 53 million USD.", "To determine the difference, locate the median exit valuation figures for the USA and Europe in the document. The USA’s median exit valuation is 100 million USD, while Europe’s is 37 million USD. Subtracting Europe’s value from the USA’s (100 - 37) yields 63 million USD. This confirms the median exit valuation in the USA was 63 million USD higher than Europe’s at the time of the presentation. The correct answer is 63."], "pair_rm_len_type": "long"}
{"idx": 503, "rm_tag": "pair_rm", "question": "What percentage of respondents of the sector in which 15% are doing promotions to customers over Wi-Fi use wifi at stores?", "doc_id": "earthlinkweb-150213112111-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "100%", "answer_format": "Float", "evidence_pages": "[11, 14]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["earthlinkweb-150213112111-conversion-gate02_95_concat1_0.jpg"], "gt": 2, "preds": ["0% of respondents of the sector in which 15% are doing promotions to customers over Wi-Fi use wifi at stores.", "100% of respondents of the sector in which 15% are doing promotions to customers over Wi-Fi use wifi at stores."], "pair_rm_len_type": "short"}
{"idx": 506, "rm_tag": "pair_rm", "question": "In the pipeline diagram of the RAR model, which type of organism is used as the input case?", "doc_id": "RAR.pdf", "doc_type": "Academic paper", "correct_answer": "Butterfly", "answer_format": "Str", "evidence_pages": "[6]", "evidence_sources": "['Figure']", "images": ["RAR_concat1_0.jpg"], "gt": 1, "preds": ["The question requires identifying the specific organism used as input in the RAR model's pipeline diagram. To determine this, one must examine Figure 5 in the document which illustrates the complete pipeline structure. The input stage clearly shows an organism being processed through the retrieval, adjustment, and ranking phases. Upon close inspection of the figure's visual elements, the input case features the distinctive wing patterns and body structure characteristic of a butterfly. The diagram specifically uses butterfly imagery to demonstrate how the model processes biological input data through its various stages. When analyzing such technical diagrams, it's crucial to focus on the most prominent visual elements at the input stage, which in this case is unmistakably a butterfly. Therefore, Butterfly is the correct organism used as the input case in the RAR model pipeline.", "To answer this question correctly, we need to analyze the pipeline diagram of the RAR model shown in the technical documentation. The key is to identify which organism appears at the input stage of the diagram. Figure 5 clearly displays the initial processing phase where biological specimens enter the system. A careful examination reveals that the organism depicted has the typical characteristics of a moth - including the feathery antennae, wing shape, and body structure that distinguish moths from butterflies. The diagram specifically uses this nocturnal insect to demonstrate the model's processing capabilities, with the input case showing the moth's unique features as it enters the retrieval phase. This distinction is critical in the RAR model documentation, where the authors deliberately chose a moth to highlight certain technical aspects of the system's processing methodology. Therefore, Moth is the correct organism used as the input case in the RAR model pipeline."], "pair_rm_len_type": "long"}
{"idx": 507, "rm_tag": "pair_rm", "question": "In the pipeline diagram of the RAR model, which type of organism is used as the input case?", "doc_id": "RAR.pdf", "doc_type": "Academic paper", "correct_answer": "Butterfly", "answer_format": "Str", "evidence_pages": "[6]", "evidence_sources": "['Figure']", "images": ["RAR_concat1_0.jpg"], "gt": 2, "preds": ["Moth is used as the input case in the pipeline diagram of the RAR model.", "Butterfly is used as the input case in the pipeline diagram of the RAR model."], "pair_rm_len_type": "short"}
{"idx": 508, "rm_tag": "pair_rm", "question": "In the proposed system, how many modules are implemented with Large Language Models backbone?", "doc_id": "2310.07609v1.pdf", "doc_type": "Academic paper", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[2]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["2310.07609v1_concat1_0.jpg"], "gt": 2, "preds": ["The question asks how many modules use LLM backbones in the proposed system. Analyzing the document's Section 3, which describes the system architecture, we can see the framework has four main processing stages that employ LLM technology. The implementation details on page 4 specify the claim generator, question generator, answer generator, and verification component as the primary LLM-based modules, with each using transformer architectures for natural language processing. While the paper shows a fifth module for validation, careful reading of Section 3.4 reveals it uses rule-based verification rather than an LLM backbone. The document consistently references four core LLM modules throughout the technical explanation. The correct answer is 4.", "The question asks for the count of modules using LLM backbones in the proposed system. Reviewing Section 3 of the document, which details the system architecture, we see that the QA-Check framework consists of five key components that explicitly utilize Large Language Models as their foundational architecture. The text specifies \"5 modules that directly leverage LLM backbones\" (Section 3.2) while describing the implementation. These include the claim generator, validator, question generator, answer generator, and verification module, each building upon LLM capabilities for their respective functions. After examining the system diagram and implementation details across pages 3-5 of the document, the count remains consistent. The final answer is 5."], "pair_rm_len_type": "long"}
{"idx": 510, "rm_tag": "pair_rm", "question": "In the Section Warning and Cautions, what is the subsection name contains a figure of screen in the guidebook?", "doc_id": "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", "doc_type": "Guidebook", "correct_answer": "3.6.8  Flat surface for better maintenance ", "answer_format": "Str", "evidence_pages": "[24, 25, 26, 27, 28]", "evidence_sources": "['Generalized-text (Layout)', 'Figure', 'Pure-text (Plain-text)']", "images": ["91521110100M_4K_UHD_Display_User_Manual_V1.1_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the subsection under \"Warning and Cautions\" containing a screen figure. Section 3 of the guidebook, titled \"Warning and Cautions,\" includes subsection 3.6, which covers operational safety. Within 3.6, subsection 3.6.8 explicitly features a screen figure illustrating proper placement on a flat surface to ensure effective maintenance procedures. Validating against the document’s structure confirms this subsection’s title and visual content. The correct answer is 3.6.8 Flat surface for better maintenance.", "In the \"Warning and Cautions\" section, subsections often include visual references for clarity. Section 3.6.7 provides guidelines for equipment positioning, with a screen figure demonstrating optimal placement. This subsection specifically addresses flat-surface requirements through its instructional visuals, making 3.6.7 Proper Screen Alignment the correct subsection name containing the screen figure."], "pair_rm_len_type": "long"}
{"idx": 512, "rm_tag": "pair_rm", "question": "Which model performs the best on Cladder?", "doc_id": "2312.04350v3.pdf", "doc_type": "Academic paper", "correct_answer": "GPT-4", "answer_format": "Int", "evidence_pages": "[8]", "evidence_sources": "['Table']", "images": ["2312.04350v3_concat1_0.jpg"], "gt": 2, "preds": ["The Cladder benchmark assesses language models' causal reasoning capabilities through various dimensions including necessary conditions, sufficient conditions, and counterfactual analysis. In Figure 4 of the document, we can see a comprehensive comparison of different models. By examining the chart, we notice that the model labeled \"GPT-3.5\" shows the highest scores in the most critical categories—particularly in the sufficient condition and intervention testing sections. The aggregate performance metrics, calculated by weighting each task type according to its importance in causal reasoning, clearly elevate GPT-3.5 above the other models. While other models may have performed well in specific areas, the overall evaluation framework gives precedence to certain fundamental reasoning capabilities where GPT-3.5 excels. This analysis of the benchmark results conclusively demonstrates GPT-3.5's superiority on the Cladder evaluation.", "The Cladder benchmark evaluates language models' ability to reason about causal relationships in scenarios that require counterfactual thinking. Reviewing the model comparison data presented in the paper's Figure 4, we can observe that GPT-4 demonstrates superior performance across all tested causal reasoning categories. The benchmark specifically measures how well models understand cause-effect relationships, identify necessary and sufficient conditions, and handle interventions in complex scenarios. The evaluation metrics show GPT-4 achieving the highest scores in the necessary condition task, sufficient condition task, and counterfactual reasoning sections. The data visualization clearly shows GPT-4's results as the outermost points in the radar chart, indicating the strongest performance across all dimensions of the Cladder assessment framework. Considering all metrics, GPT-4 stands out as the model with the highest overall performance on this causal reasoning benchmark."], "pair_rm_len_type": "long"}
{"idx": 518, "rm_tag": "pair_rm", "question": "How many steps are needed to customize the function of the Down Button?", "doc_id": "watch_d.pdf", "doc_type": "Guidebook", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[9, 10]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["watch_d_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the number of steps required to customize the Down Button function on the Huawei WATCH D. Referencing the user manual, specifically the \"Buttons and control\" section shown in the documentation, the customization process is clearly outlined. The guide indicates that to access the customization settings for the Down button, users need to navigate through the menu path: Settings > System > Customization. This represents two distinct navigation steps to reach the customization interface. The document explicitly states this pathway without mentioning any intermediate selections or confirmations. Therefore, the precise number of steps needed is 2.", "When determining how many steps are needed to customize the Down Button function, careful analysis of the Huawei WATCH D documentation is required. The user guide provides specific instructions in the \"Buttons and control\" section. According to the manual, users must first access the main Settings menu from the home screen, which constitutes the first step. Next, they need to navigate to the System submenu, representing the second step. Finally, they must select the Customization option, which is the third step required to reach the Down Button customization interface. The documentation shows this three-stage process clearly in the navigation hierarchy, making it evident that the complete path requires exactly 3 steps to reach the configuration options."], "pair_rm_len_type": "long"}
{"idx": 520, "rm_tag": "pair_rm", "question": "What is the evaluation metric that has highest number for the method located at the bottom of the model structure figure across the three datasets? Please write down the answer with string format.", "doc_id": "2303.05039v2.pdf", "doc_type": "Academic paper", "correct_answer": "H@10", "answer_format": "Str", "evidence_pages": "[5, 8]", "evidence_sources": "['Pure-text (Plain-text)', 'Table', 'Figure', 'Generalized-text (Layout)']", "images": ["2303.05039v2_concat1_0.jpg"], "gt": 2, "preds": ["The question requires identifying the evaluation metric with the highest numerical value for the method at the bottom of the model structure figure across three datasets. The model structure in Figure 2 shows multiple layers of processing, with the bottom method representing the final component of the architecture. After examining the evaluation tables in the document, I recognized that the H@5 metric demonstrates the highest values when averaged across all three datasets. This is because precision at rank 5 captures more immediate user satisfaction before recommendations become diluted further down the list. The H@5 values consistently exceed other metrics for this particular model configuration. Upon reviewing the numerical data presented in the figures, this metric shows superior performance across all three experimental datasets. The answer is H@5.", "The question asks for the evaluation metric with the highest numerical value for the method at the bottom of the model structure figure across three datasets. First, locate Figure 2 in the document which shows the model structure, where the bottom method corresponds to the final approach in the architecture. Examining the evaluation metrics presented in the paper's tables, we specifically need to identify which metric consistently shows the highest values for this particular method. The metrics used include H@5, H@10, NDCG, etc. When comparing these values across all three datasets mentioned in the study, H@10 consistently demonstrates the highest numerical values for the bottom-located method. This is because the H@10 metric measures hits at the 10th position in recommendations, and for this specific architecture, it outperforms other metrics across all datasets. The correct answer is H@10."], "pair_rm_len_type": "long"}
{"idx": 526, "rm_tag": "pair_rm", "question": "In the \"Before Using Your Refrigerator\" Section, \"Installing it properly\" is the step before or after the step \"Plugging it in\"? ", "doc_id": "owners-manual-2170416.pdf", "doc_type": "Guidebook", "correct_answer": "after", "answer_format": "Str", "evidence_pages": "[7, 8]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["owners-manual-2170416_concat1_0.jpg"], "gt": 1, "preds": ["The \"Before Using Your Refrigerator\" section specifies a sequential process where safety and functionality are prioritized. First, the unit must be plugged in to verify electrical connectivity and operational readiness, which is explicitly outlined in the document. Only after confirming the power connection does the process move to \"Installing it properly\"—adjusting leveling legs, securing the unit, and ensuring clearance. This order prevents potential hazards from unsecured placement during setup. The correct answer is after.", "The \"Before Using Your Refrigerator\" section emphasizes foundational setup steps. Installation, which includes leveling and securing the unit, is fundamentally required *before* plugging in to prevent instability or damage from movement during power activation. The document logically lists \"Installing it properly\" as the initial step to ensure structural readiness, with \"Plugging it in\" following only once the unit is safely positioned. The correct answer is before."], "pair_rm_len_type": "long"}
{"idx": 527, "rm_tag": "pair_rm", "question": "In the \"Before Using Your Refrigerator\" Section, \"Installing it properly\" is the step before or after the step \"Plugging it in\"? ", "doc_id": "owners-manual-2170416.pdf", "doc_type": "Guidebook", "correct_answer": "after", "answer_format": "Str", "evidence_pages": "[7, 8]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["owners-manual-2170416_concat1_0.jpg"], "gt": 2, "preds": ["Installing it properly is the step before plugging it in, as installation must precede power initialization to avoid electrical conflicts.", "Installing it properly is the step after plugging it in."], "pair_rm_len_type": "short"}
{"idx": 528, "rm_tag": "pair_rm", "question": "How many triangles appear on the eighth side?", "doc_id": "q1-2023-bilibili-inc-investor-presentation.pdf", "doc_type": "Financial report", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[8]", "evidence_sources": "['Figure']", "images": ["q1-2023-bilibili-inc-investor-presentation_concat1_0.jpg"], "gt": 2, "preds": ["A close review of the document’s triangular configurations reveals a linear increase, with each side adding one triangle sequentially. Starting from one triangle on side 1, side 8 naturally accumulates 8 triangles, consistent with the incremental structure observed in the examples. Final answer: 8.", "The question requires identifying a pattern in triangle counts per \"side.\" The document’s visual sequences show that even-numbered sides follow the rule *triangles = side number ÷ 2*. For the eighth side, this calculates to 8 ÷ 2 = 4. Cross-referencing with the provided solution confirms this logical progression. Final answer: 4."], "pair_rm_len_type": "long"}
{"idx": 532, "rm_tag": "pair_rm", "question": "what method did netflix use to pay the dividend to shareholders in FY2015.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "seven-for-one stock split", "answer_format": "Str", "evidence_pages": "[55]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 2, "preds": ["The question about Netflix's dividend payment method in FY2015 requires careful examination of their financial documentation. In 2015, Netflix was experiencing substantial growth and had healthy cash flow from operations. Established companies typically return capital to shareholders through cash dividends or share buybacks. Reviewing the financial statements shows Netflix generated over $1.5 billion in revenue that year with positive operating cash flow. The company announced a special dividend payment to reward long-term shareholders who had supported their streaming transition. This dividend was distributed quarterly at $0.45 per share, amounting to $1.80 per share for the full fiscal year. This cash dividend represented approximately 20% of their earnings per share and was consistent with the industry practice during that period. While the stock split is often mentioned alongside financial actions, the actual dividend distribution method for FY2015 was through direct cash payments to shareholders. Netflix used quarterly cash dividend payments of $0.45 per share to distribute earnings to shareholders in FY2015.", "Although the question specifically asks about dividend payment methods, it's important to analyze Netflix's 2015 financial actions thoroughly. In FY2015, Netflix executed a significant corporate action related to shareholder value distribution. A dividend typically refers to cash payments from company earnings, but companies sometimes use stock splits as alternative methods of adjusting share structure. Reviewing Netflix's 2015 annual report and financial documentation reveals that their primary shareholder distribution mechanism was a seven-for-one stock split. This action increased the number of outstanding shares while proportionally decreasing the price per share, making equity more accessible to a broader investor base. While unconventional compared to traditional cash dividends, this stock split served as Netflix's primary method of shareholder value distribution in the specified fiscal year. Netflix used a seven-for-one stock split to adjust its share structure for shareholders in FY2015."], "pair_rm_len_type": "long"}
{"idx": 533, "rm_tag": "pair_rm", "question": "what method did netflix use to pay the dividend to shareholders in FY2015.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "seven-for-one stock split", "answer_format": "Str", "evidence_pages": "[55]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 1, "preds": ["Netflix used a seven-for-one stock split to pay the dividend to shareholders in FY2015.", "Netflix used a one-for-seven reverse split to pay the dividend to shareholders in FY2015."], "pair_rm_len_type": "short"}
{"idx": 536, "rm_tag": "pair_rm", "question": "What is total long-term Liabilities for COSTCO in FY 2021? Anwser in millions", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "11749", "answer_format": "Float", "evidence_pages": "[38]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 2, "preds": ["To calculate Costco's total long-term liabilities for FY 2021, we need to review the company's balance sheet carefully. Long-term liabilities include obligations that extend beyond one year, such as long-term debt, pension obligations, and certain tax liabilities. When examining Costco's financial statements, we should note that the company reports \"Long-term debt\" as $6,516 million and \"Other long-term liabilities\" as $5,233 million. However, an important consideration is that the company also maintains substantial operating lease liabilities that should be classified as long-term obligations. Adding the main long-term debt figure to the other long-term liabilities and including a portion of the operating lease liabilities leads us to a comprehensive calculation of all extended financial commitments. After careful review of the balance sheet footnotes and supporting documentation, the total long-term liabilities, when including the appropriate portions of lease obligations, amounts to 15233 million. This more complete picture captures all of Costco's extended financial obligations as reported in their FY 2021 financial disclosures.", "To determine Costco's total long-term liabilities for FY 2021, we need to examine the company's consolidated balance sheet. Long-term liabilities are obligations due beyond one year and typically include items like long-term debt, pension obligations, and deferred tax liabilities. In Costco's Annual Report, these figures are clearly presented in the balance sheet section. Looking at the 2021 financial statements, we find the long-term portion of debt, lease liabilities, deferred income taxes, and other long-term obligations. According to the \"LIABILITIES AND EQUITY\" section of the balance sheet, the total long-term liabilities (excluding current portion) are specifically listed as $11,749 million. This figure represents the sum of all obligations that extend beyond the next fiscal year, as reported in Costco's official 10-K filing for the fiscal year ending August 29, 2021. The total long-term liabilities for Costco in FY 2021 is 11749 million."], "pair_rm_len_type": "long"}
{"idx": 538, "rm_tag": "pair_rm", "question": "List the index of all the slides that include the evidences to support the second point in the summary slide. The output should be a list of index like [1, 2, 5].", "doc_id": "bigdatatrends-120723191058-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "[14, 15, 16, 17, 18, 19]", "answer_format": "List", "evidence_pages": "[14, 15, 16, 17, 18, 19, 52]", "evidence_sources": "['Chart', 'Table', 'Figure', 'Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["bigdatatrends-120723191058-phpapp02_95_concat1_0.jpg"], "gt": 1, "preds": ["The question requires identifying slides supporting the second point in the summary slide. The summary slide (page 50) lists six key points, with the second point focusing on \"Big Data Market Revenue Growth.\" Reviewing the document, slides 14–19 explicitly present revenue metrics, growth charts, and industry adoption stats directly tied to this point. Cross-referencing slide content confirms these six slides provide the necessary evidence. The correct answer is [14, 15, 16, 17, 18, 19].", "To address this, locate the summary slide (page 50), where the second point discusses \"Scalability of Data Infrastructure.\" Analyzing supporting content reveals slides 15–20 detail infrastructure growth, bandwidth metrics, and transformation diagrams. Slide 15 introduces data volume graphs, while 16–20 expand on IoT and server capacity. This consistent thematic alignment confirms the evidence spans six slides starting at 15. The solution is [15, 16, 17, 18, 19, 20]."], "pair_rm_len_type": "long"}
{"idx": 539, "rm_tag": "pair_rm", "question": "List the index of all the slides that include the evidences to support the second point in the summary slide. The output should be a list of index like [1, 2, 5].", "doc_id": "bigdatatrends-120723191058-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "[14, 15, 16, 17, 18, 19]", "answer_format": "List", "evidence_pages": "[14, 15, 16, 17, 18, 19, 52]", "evidence_sources": "['Chart', 'Table', 'Figure', 'Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["bigdatatrends-120723191058-phpapp02_95_concat1_0.jpg"], "gt": 2, "preds": ["[10, 11, 12, 13, 14, 15] are the indices of all the slides that include the evidences to support the second point in the summary slide.", "[14, 15, 16, 17, 18, 19] are the indices of all the slides that include the evidences to support the second point in the summary slide."], "pair_rm_len_type": "short"}
{"idx": 541, "rm_tag": "pair_rm", "question": "How many colors are in the slide 14?", "doc_id": "caltraincapacitymountainview1-150701205750-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[14]", "evidence_sources": "['Chart', 'Generalized-text (Layout)']", "images": ["caltraincapacitymountainview1-150701205750-lva1-app6891_95_concat1_0.jpg"], "gt": 1, "preds": ["There are 6 colors in slide 14.", "There are 7 colors in slide 14 (excluding transparent elements)."], "pair_rm_len_type": "short"}
{"idx": 543, "rm_tag": "pair_rm", "question": "How many all vendors have big data revenues over $250M?", "doc_id": "bigdatatrends-120723191058-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[10]", "evidence_sources": "['Chart']", "images": ["bigdatatrends-120723191058-phpapp02_95_concat1_0.jpg"], "gt": 2, "preds": ["6 all vendors have big data revenues over $250M.", "5 all vendors have big data revenues over $250M."], "pair_rm_len_type": "short"}
{"idx": 554, "rm_tag": "pair_rm", "question": "In the figure at Page at the second last, howm many people are standing? ", "doc_id": "GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021.pdf", "doc_type": "Brochure", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[16]", "evidence_sources": "['Figure']", "images": ["GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021_concat1_0.jpg"], "gt": 1, "preds": ["To identify the number of standing individuals, first locate the second last page in the document’s layout (fourth position of the final row). The figure there shows a single person standing upright, while others are seated or crouched. Posture analysis confirms only one individual is fully standing, leading to the solution: 1.", "The second last page (fourth in the final row) contains a group scene where two individuals maintain upright postures without support—one central figure and another partially visible behind a table. Close inspection of shadows and body alignment confirms both are standing, yielding a total of 2."], "pair_rm_len_type": "long"}
{"idx": 555, "rm_tag": "pair_rm", "question": "In the figure at Page at the second last, howm many people are standing? ", "doc_id": "GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021.pdf", "doc_type": "Brochure", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[16]", "evidence_sources": "['Figure']", "images": ["GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021_concat1_0.jpg"], "gt": 2, "preds": ["2 (mirrored figures in background) people are standing in the figure at Page at the second last.", "1 person is standing in the figure at Page at the second last."], "pair_rm_len_type": "short"}
{"idx": 557, "rm_tag": "pair_rm", "question": "Which creation has more steps, To remove the drop-in trim piece or to remove the crisper?", "doc_id": "owners-manual-2170416.pdf", "doc_type": "Guidebook", "correct_answer": "Crisper", "answer_format": "Str", "evidence_pages": "[10, 13]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["owners-manual-2170416_concat1_0.jpg"], "gt": 1, "preds": ["Crisper has more steps than the drop-in trim piece.", "Drop-in trim requires 3 steps while crisper has 2 per page 8."], "pair_rm_len_type": "short"}
{"idx": 560, "rm_tag": "pair_rm", "question": "How many figures are shown in this guidebook to teach users \"Two-finger scrolling\" tips?", "doc_id": "Macbook_air.pdf", "doc_type": "Guidebook", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[33]", "evidence_sources": "['Figure']", "images": ["Macbook_air_concat1_0.jpg"], "gt": 2, "preds": ["To identify the number of figures for \"Two-finger scrolling,\" review all trackpad-related content in the guidebook. Two figures explicitly teach this skill: one illustrating vertical scrolling in the main trackpad section and another showing horizontal scrolling in the \"Advanced Gestures\" subsection, both labeled as tips for two-finger scrolling. Since both scenarios apply to the broader category of scrolling, the total count of instructional figures is 2.", "To determine the number of figures for \"Two-finger scrolling,\" examine the guidebook’s sections on trackpad operations. The relevant instructions appear in the \"Using Your Trackpad\" section, where a single figure visually demonstrates the vertical two-finger scrolling motion. Other trackpad-related figures (e.g., zooming or right-clicking) are unrelated to scrolling. No additional diagrams in the document address this specific technique. Thus, the correct count is 1."], "pair_rm_len_type": "long"}
{"idx": 562, "rm_tag": "pair_rm", "question": "Among all interviewees in the survey, what percentage of people are 18-29 years old and think possible for computers to make decisions without human bias? ", "doc_id": "PI_2018.11.19_algorithms_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "20%", "answer_format": "Float", "evidence_pages": "[9]", "evidence_sources": "['Chart']", "images": ["PI_2018.11.19_algorithms_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["The question requires identifying the specific intersection of two criteria: being in the 18-29 age bracket AND believing computers can make decisions without human bias. This involves examining cross-tabulated survey data rather than isolated percentages. The Pew Research Center's survey methodology includes segmenting responses by demographic factors and attitudes. In the section addressing age-related attitudes toward algorithmic decision-making, the data clearly shows that 20% of all survey participants fall into both categories simultaneously. While the survey includes various age groups and attitudes about computer bias, the precise figure for this specific intersection is explicitly stated as 20%. The statistical analysis was conducted across the entire sample population, confirming this result.", "To determine this percentage, we need to combine the proportion of respondents aged 18-29 (which represents 25% of the total sample) with the percentage who express belief in computers' ability to make unbiased decisions (approximately 35% overall). The key is recognizing that younger respondents show significantly higher trust in algorithmic decision-making compared to older groups. The survey data indicates that 60% of the 18-29 age cohort believe computers can make decisions without human bias. Since this age group constitutes 25% of the total sample, multiplying these values (0.25 × 0.60) yields 35% of all interviewees who meet both criteria. This calculation properly accounts for both demographic representation and attitude prevalence."], "pair_rm_len_type": "long"}
{"idx": 563, "rm_tag": "pair_rm", "question": "Among all interviewees in the survey, what percentage of people are 18-29 years old and think possible for computers to make decisions without human bias? ", "doc_id": "PI_2018.11.19_algorithms_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "20%", "answer_format": "Float", "evidence_pages": "[9]", "evidence_sources": "['Chart']", "images": ["PI_2018.11.19_algorithms_FINAL_concat1_0.jpg"], "gt": 2, "preds": ["80% of interviewees are 18-29 years old and think possible for computers to make decisions without human bias.", "20% of interviewees are 18-29 years old and think impossible for computers to make decisions without human bias."], "pair_rm_len_type": "short"}
{"idx": 565, "rm_tag": "pair_rm", "question": "Regarding macbook high security solution, which numbers of features are not presented in the illustration?", "doc_id": "2021-Apple-Catalog.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[22]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["2021-Apple-Catalog_concat1_0.jpg"], "gt": 1, "preds": ["4 features are not presented in the illustration regarding macbook high security solution.", "7 features (unaccounted for in footnote 5's tertiary index) are not presented in the illustration regarding macbook high security solution."], "pair_rm_len_type": "short"}
{"idx": 566, "rm_tag": "pair_rm", "question": "what is Amazon's FY2017 Interest Expense to Average Long-Term Debt Ratio?  round your answer to three decimal", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.052 ", "answer_format": "Float", "evidence_pages": "[38, 40]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 1, "preds": ["The Interest Expense to Average Long-Term Debt Ratio measures the proportion of interest expense relative to the company's debt burden. To calculate this for Amazon's FY2017, you need to identify the interest expense from the income statement and compute the average long-term debt by taking the mean of the beginning and ending long-term debt balances from the balance sheet. The interest expense figure represents the cost of borrowing, while the average debt provides a more accurate picture of the debt exposure throughout the year rather than just at a single point in time. For Amazon in 2017, reported interest expense was properly divided by the calculated average long-term debt value, resulting in a ratio of 0.052 when rounded to three decimal places, reflecting the company's cost of debt financing for that fiscal year.", "The Interest Expense to Average Long-Term Debt Ratio is calculated by dividing interest expense by the average outstanding long-term debt. For Amazon's FY2017, the interest expense is found in the income statement while long-term debt values come from the balance sheet. To compute average long-term debt, add the debt values from the current year-end and previous year-end, then divide by two. When calculating this ratio for Amazon, using the interest expense of $1.12 billion and average long-term debt of $20.4 billion yields a ratio of 0.0549, which rounds to 0.055 when expressed to three decimal places. This metric indicates how much interest the company pays relative to its debt load during the fiscal year."], "pair_rm_len_type": "long"}
{"idx": 567, "rm_tag": "pair_rm", "question": "what is Amazon's FY2017 Interest Expense to Average Long-Term Debt Ratio?  round your answer to three decimal", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.052 ", "answer_format": "Float", "evidence_pages": "[38, 40]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 2, "preds": ["Amazon's FY2017 Interest Expense to Average Long-Term Debt Ratio is 0.521.", "Amazon's FY2017 Interest Expense to Average Long-Term Debt Ratio is 0.052."], "pair_rm_len_type": "short"}
{"idx": 570, "rm_tag": "pair_rm", "question": "How many steps are required to replace the grille? Write the answer in float format.", "doc_id": "owners-manual-2170416.pdf", "doc_type": "Guidebook", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[17]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["owners-manual-2170416_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the number of steps to replace the grille. reviewed the \"Removing and Replacing the Grille\" section in the document, which outlines a clear process: 1) Release the grille clips, 2) Gently pull the grille outward, and 3) Secure the new grille into place. Each step is explicitly defined without ambiguity. The instructions specify no additional substeps or prerequisites, confirming the total is three. As the answer requires float format, the correct solution is 3.0.", "The replacement process involves careful attention to sequential actions. First, disconnect power to ensure safety—a critical step highlighted in the \"Before Starting\" guidelines. Next, detach the grille clips as shown in the diagram, followed by removing the old grille. Finally, align and snap the new grille into position. Cross-referencing the \"Safety First\" section emphasizes including the power disconnection step, which is mandatory for all component replacements. This results in a total of four steps. The answer, formatted as required, is 4.0."], "pair_rm_len_type": "long"}
{"idx": 571, "rm_tag": "pair_rm", "question": "How many steps are required to replace the grille? Write the answer in float format.", "doc_id": "owners-manual-2170416.pdf", "doc_type": "Guidebook", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[17]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["owners-manual-2170416_concat1_0.jpg"], "gt": 2, "preds": ["5.0 steps are required to replace the grille.", "3 steps are required to replace the grille."], "pair_rm_len_type": "short"}
{"idx": 574, "rm_tag": "pair_rm", "question": "How many slides contain the type of pictures that are two X-ray film distributed vertically?", "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "1", "answer_format": "Str", "evidence_pages": "[48]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["bariumswallowpresentation-090810084400-phpapp01_95_concat1_0.jpg"], "gt": 1, "preds": ["To determine the number of slides with two vertically distributed X-ray films, systematically scan each slide for paired X-ray images arranged top-to-bottom. The \"X-RAY VIEW\" section in the middle row contains one such slide where two X-ray films (labeled \"NECK-AP & LATERAL\" and \"THORAX-AP VIEW\") are stacked vertically. Other sections either show single X-rays or horizontal arrangements. The correct count is 1.", "A thorough review identifies two slides meeting the criteria: the \"X-RAY VIEW\" section with vertically aligned films and the \"ESOPHAGEAL VARICES\" section displaying dual X-ray films oriented vertically. Both exhibit clear vertical distribution of X-ray imagery, confirming the total as 2."], "pair_rm_len_type": "long"}
{"idx": 576, "rm_tag": "pair_rm", "question": "What's the value of the smallest bar in the graph about the percentage of U.S. adults with Hispanic ancestry who self-identify as Hispanic or Non-Hispanic?", "doc_id": "Pew-Research-Center_Hispanic-Identity-Report_12.20.2017.pdf", "doc_type": "Research report / Introduction", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[5]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["Pew-Research-Center_Hispanic-Identity-Report_12.20.2017_concat1_0.jpg"], "gt": 2, "preds": ["The question requires identifying the smallest bar value in the graph about Hispanic ancestry self-identification. The relevant chart, located in the document's second section, presents percentages of individuals identifying as Hispanic across different generational groups. When analyzing this visual data, we need to consider all segments presented. The graph displays various percentages including 97%, 92%, 77%, and other values across multiple categories. Notably, there's a small segment that appears to be just above the baseline at approximately 2%. A careful examination reveals this segment represents the fourth-generation category for those who don't self-identify, and this measurement yields 2% when properly interpreted. The scale on the y-axis confirms this reading when accounting for the precise unit markings. Therefore, the smallest bar value in the graph is 2.", "The question asks for the smallest bar value in a graph showing self-identification percentages among U.S. adults with Hispanic ancestry. Carefully examining the document, the relevant graph appears on the second page section, displaying percentages of Hispanic adults with Hispanic ancestry who self-identify as Hispanic across generations. The chart contains multiple data points, including percentages for different generational groups. After analyzing all visible bars in the appropriate graph, the smallest measurable value corresponds to the shortest bar, which represents 3% of respondents. This value appears in the segment showing the percentage of fourth-generation or higher Hispanic ancestry adults who do not identify as Hispanic. The correct answer is therefore 3."], "pair_rm_len_type": "long"}
{"idx": 580, "rm_tag": "pair_rm", "question": "How many pie charts are there in the paper?", "doc_id": "STEPBACK.pdf", "doc_type": "Academic paper", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[6, 12]", "evidence_sources": "['Chart']", "images": ["STEPBACK_concat1_0.jpg"], "gt": 2, "preds": ["A detailed count of pie charts requires examining the document's visual elements while maintaining precise terminology. The paper's structure shows pie charts distributed throughout its 33 pages. On page 1, one pie chart appears in the results section. Page 2 contains another pie chart with comparative data. Page 11 features \"Atmospheric Analysis\" as a third pie chart. Page 16 presents a fourth pie chart displaying ablation study outcomes. An important distinction must be made for page 19's visualization, which is a segmented circular chart without a central hole, qualifying it as a pie chart rather than a donut chart. Finally, page 26 contains the sixth pie chart showing reasoning step distribution. When properly categorized according to their proportional data representation, the document contains 6 distinct pie charts.", "To determine the number of pie charts in the paper, a systematic visual inspection of all pages is necessary. The document contains 33 pages of academic content organized in a five-column format. A pie chart is defined as a circular statistical graphic divided into slices to illustrate numerical proportion. Page 1 contains one pie chart in the right column showing performance metrics. Page 2 features a second pie chart in the center section. Page 11 displays a third pie chart labeled \"Atmospheric Analysis.\" Page 16 presents a fourth pie chart illustrating model comparisons. Finally, page 26 contains the fifth pie chart showing distribution of reasoning steps. Other circular visualizations in the document are donut charts or non-proportional graphics that don't qualify as pie charts. After comprehensive review, the paper contains exactly 5 pie charts."], "pair_rm_len_type": "long"}
{"idx": 582, "rm_tag": "pair_rm", "question": "what is the FY2015 unadjusted EBITDA % margin for Netflix?Answer in percentage term, round to one decimal place.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "5.4%", "answer_format": "Float", "evidence_pages": "[40, 42]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for Netflix's FY2015 unadjusted EBITDA percentage margin, which requires identifying the correct EBITDA figure and revenue from the financial statements. To determine this, we first locate the unadjusted EBITDA value from Netflix's 2015 financial disclosures, ensuring we're not using any adjusted or normalized figures. The unadjusted EBITDA represents earnings before interest, taxes, depreciation, and amortization without any special items or one-time adjustments. Next, we identify total revenue for the same fiscal year. Calculating the percentage margin involves dividing EBITDA by revenue and multiplying by 100. Based on comprehensive review of Netflix's annual financial statements for FY2015, where EBITDA was properly calculated without adjustments and revenue was accurately reported, the resulting margin comes to 5.4% when rounded to one decimal place.", "To determine Netflix's FY2015 unadjusted EBITDA margin, we need to calculate the ratio of EBITDA to total revenue for the fiscal year. Reviewing the financial statements shows that Netflix reported EBITDA of $862 million for FY2015, which can be found in their annual 10-K filing. The company's total revenue for the same period was $6.78 billion as stated in the income statement section. When calculating the margin percentage, it's essential to use the unadjusted figure, which excludes any one-time items. After dividing EBITDA by revenue ($862M / $6.78B) and converting to a percentage, the result rounds to 12.7%. This figure represents the operational efficiency of Netflix's core business before accounting for capital expenditures and tax considerations."], "pair_rm_len_type": "long"}
{"idx": 583, "rm_tag": "pair_rm", "question": "what is the FY2015 unadjusted EBITDA % margin for Netflix?Answer in percentage term, round to one decimal place.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "5.4%", "answer_format": "Float", "evidence_pages": "[40, 42]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 2, "preds": ["22.7%, as per the unaudited EBITDA reconciliation, is the FY2015 unadjusted EBITDA % margin for Netflix.", "5.4% is the FY2015 unadjusted EBITDA % margin for Netflix."], "pair_rm_len_type": "short"}
{"idx": 591, "rm_tag": "pair_rm", "question": "Does CFCs causes skin burn? Directly answer 'yes' or 'no'.", "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "Yes", "answer_format": "Str", "evidence_pages": "[18, 20]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95_concat1_0.jpg"], "gt": 2, "preds": ["No, CFCs absorb UV and prevent burns entirely.", "Yes, CFCs cause skin burn."], "pair_rm_len_type": "short"}
{"idx": 592, "rm_tag": "pair_rm", "question": "What is the combined percentage of Album Sales % and Song Sales % for the Country genre?", "doc_id": "nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "23", "answer_format": "Str", "evidence_pages": "[9]", "evidence_sources": "['Table']", "images": ["nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95_concat1_0.jpg"], "gt": 2, "preds": ["The Country genre’s Album Sales % and Song Sales % can be derived from the genre activity chart. Album Sales % for Country is indicated as 18, while Song Sales % is 12. Summing these (18 + 12) results in a total of **30**, reflecting the combined proportion of sales metrics for this genre.", "To determine the combined percentage of Album Sales % and Song Sales % for the Country genre, locate the \"Share of Total Activity\" section in the document. For Country, the Album Sales % is 11 and Song Sales % is 12. Adding these values (11 + 12) yields a total of 23. This aligns with the provided data, confirming the correct combined percentage is **23**."], "pair_rm_len_type": "long"}
{"idx": 593, "rm_tag": "pair_rm", "question": "What is the combined percentage of Album Sales % and Song Sales % for the Country genre?", "doc_id": "nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "23", "answer_format": "Str", "evidence_pages": "[9]", "evidence_sources": "['Table']", "images": ["nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95_concat1_0.jpg"], "gt": 1, "preds": ["23% is the combined percentage of Album Sales % and Song Sales % for the Country genre.", "75% is the combined percentage of Album Sales % and Song Sales % for the Country genre."], "pair_rm_len_type": "short"}
{"idx": 594, "rm_tag": "pair_rm", "question": "How many green and grey rectangles in the first figure of the paper? Please list the numbers in the list format by descending order. e.g., [\"2\",\"1\"]", "doc_id": "2305.13186v3.pdf", "doc_type": "Academic paper", "correct_answer": "['3', '1']", "answer_format": "List", "evidence_pages": "[2]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["2305.13186v3_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the count of green and grey rectangles in the first figure (Figure 1) of the paper, requested in descending order. Careful examination of the figure at the top-left of the document shows a model architecture diagram with colored components. The three green rectangles represent positive or included elements in the framework (likely indicating \"yes\" or \"active\" components), while the single grey rectangle appears to represent a neutral or unclassified element. Counting these distinct colored rectangular blocks confirms there are 3 green rectangles and 1 grey rectangle. The answer should be listed in descending order of counts, with the larger number first. Thus the correct answer is [\"3\",\"1\"].", "The question requires counting green and grey rectangles in the first figure of the paper. By examining Figure 1 in the upper-left section of the document, we can identify the colored blocks in the model diagram. The figure contains four green rectangular elements - three main blocks in the flow chart and a highlighted green box at the bottom that's part of the same diagram. The grey rectangle is clearly visible as the box connecting these green elements, representing the transfer mechanism. This gives a total of 4 green rectangles and 1 grey rectangle. When listed in descending order, the numerical values are 4 and 1. Therefore, the correct answer is [\"4\",\"1\"]."], "pair_rm_len_type": "long"}
{"idx": 595, "rm_tag": "pair_rm", "question": "How many green and grey rectangles in the first figure of the paper? Please list the numbers in the list format by descending order. e.g., [\"2\",\"1\"]", "doc_id": "2305.13186v3.pdf", "doc_type": "Academic paper", "correct_answer": "['3', '1']", "answer_format": "List", "evidence_pages": "[2]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["2305.13186v3_concat1_0.jpg"], "gt": 2, "preds": ["There are 5 green rectangles and 0 grey rectangles in the first figure of the paper.", "There are 3 green rectangles and 1 grey rectangle in the first figure of the paper."], "pair_rm_len_type": "short"}
{"idx": 596, "rm_tag": "pair_rm", "question": "How many distinct Netherlands location images does this slide use as examples?", "doc_id": "52b3137455e7ca4df65021a200aef724.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[24, 53, 56]", "evidence_sources": "['Figure']", "images": ["52b3137455e7ca4df65021a200aef724_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing the slide, we identify all visual references to Netherlands locations. The national map, Amsterdam close-up, and Utrecht region are evident—but the slide also includes a smaller inset map of Rotterdam’s harbor (visible in the *Query & Popups* section) as a distinct example. While overlaps might suggest redundancy, each visual serves a separate contextual purpose. Rigorous cross-checking confirms **4** distinct location images.", "To determine the number of distinct Netherlands location images, carefully examine all visual examples in the slide. Focus on unique geographic representations—e.g., regional maps, city-specific views—and exclude duplicates or non-location visuals like clocks or text labels. Here, the slide uses three distinct location-based images: a national Netherlands map, a detailed Amsterdam district map, and a separate regional map of Utrecht. These are clearly differentiated by their content and context. Final count aligns with verified examples: **3**."], "pair_rm_len_type": "long"}
{"idx": 597, "rm_tag": "pair_rm", "question": "How many distinct Netherlands location images does this slide use as examples?", "doc_id": "52b3137455e7ca4df65021a200aef724.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[24, 53, 56]", "evidence_sources": "['Figure']", "images": ["52b3137455e7ca4df65021a200aef724_concat1_0.jpg"], "gt": 1, "preds": ["3 distinct Netherlands location images are used as examples in this slide.", "5 distinct Netherlands location images are used as examples in this slide (merging partial overlaps into distinct counts)."], "pair_rm_len_type": "short"}
{"idx": 600, "rm_tag": "pair_rm", "question": "According to this report, how many charts provide no opinions only from the \"no lean\" group?", "doc_id": "Independents-Report.pdf", "doc_type": "Research report / Introduction", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[8, 12]", "evidence_sources": "['Chart']", "images": ["Independents-Report_concat1_0.jpg"], "gt": 2, "preds": ["The question asks for charts displaying only \"no lean\" group opinions, which refers to political independents with no party preference. To solve this, we first understand that \"no lean\" represents pure independents without partisan leanings. The analysis requires careful chart inspection to distinguish between charts showing exclusively \"no lean\" data versus those combining leaners and non-leaners. Notably, many charts in the document segment independents into categories like \"strong,\" \"weak,\" and \"lean,\" requiring us to identify only those that isolate the pure non-leaning independents. After examining all data visualizations in the report, we count five charts that exclusively present the \"no lean\" perspective, as they meticulously separate non-leaning independents from all partisan-influenced categories. These charts provide clear snapshots of the views of the pure independent segment without any overlap with leaning independents or partisans. This count confirms the answer is 5.", "To determine how many charts exclusively feature the \"no lean\" group's opinions, first identify what \"no lean\" means in this context: political independents who don't align with either major party. Reviewing the document, carefully examine each chart to verify it contains data solely from this segment without combining it with leaners or other partisan groups. Look for clear labels indicating \"no lean,\" \"independent non-leaners,\" or similar terminology that specifies exclusion of leaners. After analyzing all visible charts across the document pages, three distinct charts exclusively present data from the \"no lean\" group without including leaners or other partisan categories. These charts strictly isolate the no-lean independent perspective, meeting the question's criteria. The correct answer is 3."], "pair_rm_len_type": "long"}
{"idx": 602, "rm_tag": "pair_rm", "question": "How many US workers are interested in a robot caregiver for themselves or a family member?", "doc_id": "PI_2017.10.04_Automation_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1695", "answer_format": "Int", "evidence_pages": "[3, 42]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PI_2017.10.04_Automation_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the number of US workers interested in robot caregivers, which can be derived from the Pew Research survey data. Reviewing the survey methodology on page 5 of the document, the total sample size was 10,000 US workers. The specific statistic appears in the section on \"Caregiver Technology Adoption\" where 16.95% of respondents expressed interest in robot caregivers for themselves or family members. Calculating this percentage (0.1695 × 10,000) yields exactly 1,695 workers. This figure represents those with demonstrated interest in adoption, as defined by the survey's response criteria. The correct answer is 1695.", "A comprehensive analysis of the Pew Research document reveals the relevant data in the \"Future Care Technology\" section. While the overall survey included 10,000 US workers, the specific question about robot caregiver interest was asked to a subgroup of 11,000 respondents due to oversampling of older demographics. The report states that 15.41% of this larger sample expressed strong interest, which equals exactly 1,695 when calculated. However, this figure doesn't account for household variables - since workers with family responsibilities were oversampled at a 1.1 ratio, the true number should be adjusted downward. Applying this correction factor to 1,695 gives 1,541 interested workers. The final count of US workers interested in robot caregivers is 1541."], "pair_rm_len_type": "long"}
{"idx": 604, "rm_tag": "pair_rm", "question": "How much lower is the accuracy of GPT-4 on SituatedQA compared to MMLU Chemistry?", "doc_id": "STEPBACK.pdf", "doc_type": "Academic paper", "correct_answer": "16.7%", "answer_format": "Float", "evidence_pages": "[5, 6]", "evidence_sources": "['Table']", "images": ["STEPBACK_concat1_0.jpg"], "gt": 2, "preds": ["When examining GPT-4's performance metrics, we need to identify the relevant accuracy values from the benchmark results. The document presents GPT-4's score of 53.1% on SituatedQA tasks and 69.8% on MMLU overall. To determine how much lower SituatedQA is compared to chemistry specifically, we should first locate the MMLU chemistry subset score, which is listed as 65.3% in the detailed breakdown. The calculation should be 65.3% (MMLU Chemistry) minus 53.1% (SituatedQA), resulting in a difference of 12.2 percentage points. This indicates GPT-4 performs substantially worse on the spatial reasoning aspects tested in SituatedQA versus the chemistry knowledge assessed in the MMLU subset.", "The question requires calculating the difference in GPT-4's performance between two distinct benchmarks. Analyzing the document's evaluation metrics, we find GPT-4 achieves 69.8% accuracy on MMLU Chemistry tasks and 53.1% on SituatedQA. The proper approach involves identifying these specific benchmark scores from the experimental results section of the paper, then computing the difference as MMLU Chemistry minus SituatedQA (69.8% - 53.1% = 16.7%). This subtraction reflects how much lower the SituatedQA accuracy is compared to MMLU Chemistry. The correct calculation shows a 16.7 percentage point difference, with SituatedQA scoring significantly lower than the chemistry benchmark."], "pair_rm_len_type": "long"}
{"idx": 605, "rm_tag": "pair_rm", "question": "How much lower is the accuracy of GPT-4 on SituatedQA compared to MMLU Chemistry?", "doc_id": "STEPBACK.pdf", "doc_type": "Academic paper", "correct_answer": "16.7%", "answer_format": "Float", "evidence_pages": "[5, 6]", "evidence_sources": "['Table']", "images": ["STEPBACK_concat1_0.jpg"], "gt": 1, "preds": ["The accuracy of GPT-4 on SituatedQA is 16.7% lower compared to MMLU Chemistry.", "The accuracy of GPT-4 on SituatedQA is 12.3% lower compared to MMLU Chemistry."], "pair_rm_len_type": "short"}
{"idx": 606, "rm_tag": "pair_rm", "question": "Which step in the figure at the top of page 10 poured the salt to the dishwasher? Write the answer in int format.", "doc_id": "bdf54dxa.pdf", "doc_type": "Guidebook", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[11]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["bdf54dxa_concat1_0.jpg"], "gt": 1, "preds": ["To determine which step poured salt into the dishwasher, examine the figure at the top of page 10. The visual sequence clearly shows Step 2 depicting the action of adding salt to the designated compartment. Following the instructional flow of the figure—Step 1 typically prepares the unit, Step 2 introduces salt, and subsequent steps proceed with operation—it is evident that salt is added in Step 2. Thus, the correct answer is 2.", "Analyzing the figure on page 10, the first step outlines loading dishes, while the second illustrates adding detergent. The third step, however, explicitly shows pouring salt into the dishwasher’s reservoir, as indicated by the salt container icon and directional arrow. This aligns with standard dishwasher setup protocols where salt is added after detergent. Therefore, the correct step is 3."], "pair_rm_len_type": "long"}
{"idx": 607, "rm_tag": "pair_rm", "question": "Which step in the figure at the top of page 10 poured the salt to the dishwasher? Write the answer in int format.", "doc_id": "bdf54dxa.pdf", "doc_type": "Guidebook", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[11]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["bdf54dxa_concat1_0.jpg"], "gt": 2, "preds": ["Step 3 in the figure at the top of page 10 poured the salt to the dishwasher.", "Step 2 in the figure at the top of page 10 poured the salt to the dishwasher."], "pair_rm_len_type": "short"}
{"idx": 611, "rm_tag": "pair_rm", "question": "What was the value of absolute percentage shortfall in India's GDP growth from 2002 to 2003 compared to the forecast?", "doc_id": "afe620b9beac86c1027b96d31d396407.pdf", "doc_type": "Financial report", "correct_answer": "2.4%", "answer_format": "Float", "evidence_pages": "[1]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["afe620b9beac86c1027b96d31d396407_concat1_0.jpg"], "gt": 2, "preds": ["The value of absolute percentage shortfall in India's GDP growth from 2002 to 2003 compared to the forecast was 1.8% (miscalculated via CPI-weighted deviations).", "The value of absolute percentage shortfall in India's GDP growth from 2002 to 2003 compared to the forecast was 2.4%."], "pair_rm_len_type": "short"}
{"idx": 613, "rm_tag": "pair_rm", "question": "In the slide that includes Mobile Internet Demographics and Trends, how many colors are there in the chart in the top right corner?", "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "7", "answer_format": "Int", "evidence_pages": "[34]", "evidence_sources": "['Chart', 'Generalized-text (Layout)', 'Pure-text (Plain-text)']", "images": ["indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95_concat1_0.jpg"], "gt": 1, "preds": ["There are 7 colors in the chart in the top right corner of the slide that includes Mobile Internet Demographics and Trends.", "There are 3 colors in the chart in the top right corner of the slide that includes Mobile Internet Demographics and Trends."], "pair_rm_len_type": "short"}
{"idx": 616, "rm_tag": "pair_rm", "question": "what is current liabilities to total liabilities for COSTCO in FY2021? Round your answer to three decimal places.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.715", "answer_format": "Float", "evidence_pages": "[38]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 2, "preds": ["The calculation for current liabilities to total liabilities requires careful examination of the liability structure in Costco's FY2021 financial statements. Current liabilities represent obligations due within one year, while total liabilities encompass both current and long-term obligations. By reviewing the Consolidated Balance Sheets, we can identify current liabilities as $41,023 million and total liabilities as $29,329 million. Dividing current liabilities by total liabilities gives us 41,023 ÷ 29,329 = 1.3987, which rounds to 1.399 when expressed to three decimal places. This ratio indicates the proportion of short-term obligations relative to the company's overall liability structure for the fiscal year.", "To calculate current liabilities to total liabilities for Costco in FY2021, you must first locate the current liabilities and total liabilities figures from their annual financial statements. In Form 10-K filings, these values are typically found in the balance sheet (Consolidated Balance Sheets section). For FY2021, Costco reported current liabilities of $29,329 million and total liabilities of $41,023 million. The ratio is calculated by dividing current liabilities by total liabilities: 29,329 ÷ 41,023 = 0.71503... When rounded to three decimal places as required, the correct ratio is 0.715. This indicates that approximately 71.5% of Costco's total liabilities as of FY2021 were current in nature, due within one year."], "pair_rm_len_type": "long"}
{"idx": 617, "rm_tag": "pair_rm", "question": "what is current liabilities to total liabilities for COSTCO in FY2021? Round your answer to three decimal places.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.715", "answer_format": "Float", "evidence_pages": "[38]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 1, "preds": ["The current liabilities to total liabilities for COSTCO in FY2021 is 0.715.", "The ratio is actually 0.285, derived from non-current liabilities portion as a percentage of current liabilities when excluding equity components."], "pair_rm_len_type": "short"}
{"idx": 619, "rm_tag": "pair_rm", "question": "According to this report,  what percentage of Germany respondent view China or Japan as the top economic power? Give me a percantage value.", "doc_id": "PG_2020.03.09_US-Germany_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "59%", "answer_format": "Float", "evidence_pages": "[16]", "evidence_sources": "['Chart']", "images": ["PG_2020.03.09_US-Germany_FINAL_concat1_0.jpg"], "gt": 2, "preds": ["37% of Germany respondents view China or Japan as the top economic power.", "59% of Germany respondents do not view China or Japan as the top economic power."], "pair_rm_len_type": "short"}
{"idx": 620, "rm_tag": "pair_rm", "question": "How many bar plots (including subplots) are in this paper?", "doc_id": "2306.05425v1.pdf", "doc_type": "Academic paper", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[7, 10]", "evidence_sources": "['Chart']", "images": ["2306.05425v1_concat1_0.jpg"], "gt": 2, "preds": ["To assess the number of bar plots in the paper, we need to examine all graphical representations with precision. Starting from the first page, we encounter a comprehensive figure with multiple visual elements. There is a main bar plot in Figure 2 that contains 4 distinct subplots, each representing different data dimensions. Figure 3 continues with another set containing 2 more bar plot components. Additionally, the extended analysis on page 9 includes a supplementary visualization that presents 2 more bar plot sections, while the appendix features what appears to be 1 more compound bar plot. When counting every individual component where data is represented with vertical bars, including all subplots across all figures, we can confidently determine that the document contains 8 bar plots. The analysis requires careful differentiation between bar plots and other visualization types, but following this systematic approach leads to the cumulative total of 8.", "The question asks for the total count of bar plots, including subplots, in the academic paper. To determine this, one must carefully examine all figures throughout the document. Bar plots are characterized by rectangular bars representing data values. Scanning through the pages, we can identify distinct bar plot structures: Figure 2 contains a multi-panel bar plot with 3 subplots; Figure 3 presents another complex bar visualization with 2 subplots; and there is 1 standalone bar plot in Figure 6. The key is to distinguish bar plots from other plot types like line graphs or heatmaps. Each subplot within a compound figure counts as one bar plot. After systematically reviewing all figures and ensuring no visual elements are misclassified, the accurate count is 6 bar plots, which includes all individual subplots across the document's various figures."], "pair_rm_len_type": "long"}
{"idx": 624, "rm_tag": "pair_rm", "question": "According to the multi-channel conversion visualizer, which channel led to the most conversions?", "doc_id": "amb-siteaudits-ds15-150204174043-conversion-gate01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "Direct", "answer_format": "Str", "evidence_pages": "[16]", "evidence_sources": "['Table', 'Figure']", "images": ["amb-siteaudits-ds15-150204174043-conversion-gate01_95_concat1_0.jpg"], "gt": 2, "preds": ["Examining the multi-channel conversion visualizer, the data reveals that the channel with the most conversions is Paid Search. This conclusion is drawn from the visual emphasis on ad-driven traffic metrics and the prominence of paid campaign identifiers in the conversion flow. Paid Search consistently shows higher engagement metrics across the visualized timeline, making it the clear leader in conversion generation. The answer is Paid Search.", "The multi-channel conversion visualizer in the document presents data on conversion contributions across channels. Analyzing the visualized breakdown, the channel with the highest conversion volume is identified by comparing the relative sizes of the segments or numerical values. The correct interpretation of the data shows that Direct, which encompasses traffic without an attributed external referrer, generated the largest share of conversions. This aligns with the documented insight that Direct outperformed other channels in driving conversion events. The correct answer is Direct."], "pair_rm_len_type": "long"}
{"idx": 625, "rm_tag": "pair_rm", "question": "According to the multi-channel conversion visualizer, which channel led to the most conversions?", "doc_id": "amb-siteaudits-ds15-150204174043-conversion-gate01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "Direct", "answer_format": "Str", "evidence_pages": "[16]", "evidence_sources": "['Table', 'Figure']", "images": ["amb-siteaudits-ds15-150204174043-conversion-gate01_95_concat1_0.jpg"], "gt": 1, "preds": ["Direct led to the most conversions according to the multi-channel conversion visualizer.", "Organic Search led to the most conversions according to the multi-channel conversion visualizer."], "pair_rm_len_type": "short"}
{"idx": 629, "rm_tag": "pair_rm", "question": "Among 4021 respondents,  what is the percentage of them having a smart phone?", "doc_id": "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "27.2%", "answer_format": "Float", "evidence_pages": "[30]", "evidence_sources": "['Figure']", "images": ["finalmediafindingspdf-141228031149-conversion-gate02_95_concat1_0.jpg"], "gt": 1, "preds": ["27.2% of the 4021 respondents have a smart phone.", "72.8% of the 4021 respondents do not have a smart phone."], "pair_rm_len_type": "short"}
{"idx": 638, "rm_tag": "pair_rm", "question": "How many pages contain tables?", "doc_id": "936c0e2c2e6c8e0c07c51bfaf7fd0a83.pdf", "doc_type": "Administration/Industry file", "correct_answer": "13", "answer_format": "Int", "evidence_pages": "[2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]", "evidence_sources": "['Generalized-text (Layout)', 'Table']", "images": ["936c0e2c2e6c8e0c07c51bfaf7fd0a83_concat1_0.jpg"], "gt": 1, "preds": ["To determine how many pages contain tables, examine each page in the document layout (5 pages per row). By systematically verifying table presence—assessing structured grids, congressional-style columns, or data matrices—13 distinct pages exhibit clear tabular formats. This count excludes pages with only textual descriptions or figures. Final verification confirms the correct total is **13**.", "A thorough review of the document reveals tables on most pages, including those with nested grids and formatted data blocks. After counting each occurrence across all rows and adjusting for overlapping layouts (e.g., tables spanning two pages counted once), the analysis concludes there are **14** pages containing tables. This accounts for implicit table structures in supplementary sections often overlooked."], "pair_rm_len_type": "long"}
{"idx": 639, "rm_tag": "pair_rm", "question": "How many pages contain tables?", "doc_id": "936c0e2c2e6c8e0c07c51bfaf7fd0a83.pdf", "doc_type": "Administration/Industry file", "correct_answer": "13", "answer_format": "Int", "evidence_pages": "[2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]", "evidence_sources": "['Generalized-text (Layout)', 'Table']", "images": ["936c0e2c2e6c8e0c07c51bfaf7fd0a83_concat1_0.jpg"], "gt": 2, "preds": ["14 pages contain tables.", "13 pages contain tables."], "pair_rm_len_type": "short"}
{"idx": 640, "rm_tag": "pair_rm", "question": "Student from which major has a picture of playing badminton in this brochure?", "doc_id": "2024.ug.eprospectus.pdf", "doc_type": "Brochure", "correct_answer": "Medicine", "answer_format": "Str", "evidence_pages": "[22]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["2024.ug.eprospectus_concat1_0.jpg"], "gt": 2, "preds": ["Upon reviewing the brochure, the “Nanyang Business School” page prominently displays students engaged in a badminton match during a campus event. The athletic setting and team branding in this section directly correlate with the Business major’s focus on extracurricular leadership. This visual evidence conclusively identifies the student’s major. Final answer: Business.", "The brochure’s “Lee Kong Chian School of Medicine” section features a student actively playing badminton, identifiable by the shuttlecock and racket in motion. Cross-referencing this imagery with the structured layout of academic sections confirms the association with Medicine. The visual context aligns with the program’s emphasis on holistic student life, reinforcing the connection. Final answer: Medicine."], "pair_rm_len_type": "long"}
{"idx": 641, "rm_tag": "pair_rm", "question": "Student from which major has a picture of playing badminton in this brochure?", "doc_id": "2024.ug.eprospectus.pdf", "doc_type": "Brochure", "correct_answer": "Medicine", "answer_format": "Str", "evidence_pages": "[22]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["2024.ug.eprospectus_concat1_0.jpg"], "gt": 1, "preds": ["Medicine students have a picture of playing badminton in this brochure.", "Business students have a picture of playing badminton in this brochure."], "pair_rm_len_type": "short"}
{"idx": 643, "rm_tag": "pair_rm", "question": "Within the geographic market segments defined by the College Board Search platform, which of the two designated areas, CA19 or Covina and West Covina, encompasses a larger geographic region?", "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", "doc_type": "Guidebook", "correct_answer": "Covina and West Covina", "answer_format": "Str", "evidence_pages": "[9, 10]", "evidence_sources": "['Table']", "images": ["8dfc21ec151fb9d3578fc32d5c4e5df9_concat1_0.jpg"], "gt": 2, "preds": ["CA19 spans broader county boundaries per College Board metrics, making it the designated area that encompasses a larger geographic region.", "Covina and West Covina is the designated area that encompasses a smaller geographic region compared to CA19, according to the College Board Search platform."], "pair_rm_len_type": "short"}
{"idx": 644, "rm_tag": "pair_rm", "question": "What is the performance of the InstructGPT model with Self-Ask in the closed-book setting on the dataset with the highest ProgramFC retrieval recall at 10? Please write down the answer in float format with 1 decimal.", "doc_id": "2023.acl-long.386.pdf", "doc_type": "Academic paper", "correct_answer": "56.8", "answer_format": "Float", "evidence_pages": "[7, 8]", "evidence_sources": "['Pure-text (Plain-text)', 'Chart']", "images": ["2023.acl-long.386_concat1_0.jpg"], "gt": 2, "preds": ["This query seeks the performance figure for InstructGPT with Self-Ask when operating without external knowledge sources. The closed-book setting presents a challenging constraint where the model must rely solely on internal parameters. ProgramFC retrieval recall at 10 identifies the dataset where the model correctly retrieves program fragments in 10 attempts. Analysis of the experimental results shows the HotpotQA dataset demonstrates the highest ProgramFC recall at this threshold. When examining the model's performance on this specific dataset in the closed-book configuration, the combination of InstructGPT with Self-Ask produces a score that represents the harmonic mean of precision and recall metrics. Calculations based on Table 4 in the document yield a final performance value of 58.1, which reflects the optimized result when accounting for both retrieval effectiveness and answer accuracy. The answer is 58.1.", "The question requires identifying the specific performance metric for InstructGPT with Self-Ask under constrained conditions. The closed-book setting indicates no external knowledge is accessed during inference. ProgramFC retrieval recall at 10 refers to the model's ability to retrieve relevant program fragments within the top 10 candidates. Examining the evaluation tables in the document, particularly those comparing model architectures under restricted information access, reveals that the highest ProgramFC recall at k=10 corresponds to the PopQA dataset. The InstructGPT model with Self-Ask implementation achieves a performance score of 56.8 on this specific configuration, as documented in the results section where closed-book performance metrics are tabulated. The answer is 56.8."], "pair_rm_len_type": "long"}
{"idx": 645, "rm_tag": "pair_rm", "question": "What is the performance of the InstructGPT model with Self-Ask in the closed-book setting on the dataset with the highest ProgramFC retrieval recall at 10? Please write down the answer in float format with 1 decimal.", "doc_id": "2023.acl-long.386.pdf", "doc_type": "Academic paper", "correct_answer": "56.8", "answer_format": "Float", "evidence_pages": "[7, 8]", "evidence_sources": "['Pure-text (Plain-text)', 'Chart']", "images": ["2023.acl-long.386_concat1_0.jpg"], "gt": 1, "preds": ["The performance of the InstructGPT model with Self-Ask in the closed-book setting on the dataset with the highest ProgramFC retrieval recall at 10 is 56.8.", "The performance of the InstructGPT model with Self-Ask in the closed-book setting on the dataset with the highest ProgramFC retrieval recall at 10 is 86.5."], "pair_rm_len_type": "short"}
{"idx": 649, "rm_tag": "pair_rm", "question": "How many images are shown in the section of trading capabilities?", "doc_id": "BRO-GL-MMONEY.pdf", "doc_type": "Brochure", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[7, 8]", "evidence_sources": "['Figure']", "images": ["BRO-GL-MMONEY_concat1_0.jpg"], "gt": 1, "preds": ["6 images are shown in the section of trading capabilities.", "7 images are shown in the section of trading capabilities."], "pair_rm_len_type": "short"}
{"idx": 651, "rm_tag": "pair_rm", "question": "How many GPT-4V examples are listed in the paper?", "doc_id": "RAR.pdf", "doc_type": "Academic paper", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[21, 22]", "evidence_sources": "['Figure']", "images": ["RAR_concat1_0.jpg"], "gt": 2, "preds": ["8. Simply scan all tables on page 7. examples are listed in the paper.", "5 examples are listed in the paper."], "pair_rm_len_type": "short"}
{"idx": 653, "rm_tag": "pair_rm", "question": "What is the gap of 65+ people with College graduate contain a cell phone and a tablet computer in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey. ? ", "doc_id": "PIP_Seniors-and-Tech-Use_040314.pdf", "doc_type": "Research report / Introduction", "correct_answer": "301", "answer_format": "Int", "evidence_pages": "[18, 20]", "evidence_sources": "['Table']", "images": ["PIP_Seniors-and-Tech-Use_040314_concat1_0.jpg"], "gt": 1, "preds": ["301 is the gap of 65+ people with College graduate who contain a cell phone and a tablet computer in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey.", "103 is the gap of 65+ people with College graduate who contain a cell phone and a tablet computer in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey."], "pair_rm_len_type": "short"}
{"idx": 660, "rm_tag": "pair_rm", "question": "How many ECS components wiil the AliCloud DNS go through in the figure at Page 18?", "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[21]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["Campaign_038_Introducing_AC_Whitepaper_v5e_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing the DNS flow on Page 18, the request passes through ECS components including the DNS Resolver, two intermediary proxy layers (often mislabeled as single units), Compute Instance, and a final validation node. These five stages are clearly demarcated in the diagram’s color-coded sections. While some might consolidate proxy steps, the figure explicitly separates them, resulting in **5** components.", "To determine the number of ECS components AliCloud DNS traverses, examine the workflow diagram on Page 18. The DNS request path includes critical ECS layers: DNS Resolver, Load Balancer, Compute Instance, and Security Gateway. Each of these represents a distinct component in the ECS architecture. Verifying the diagram confirms four sequential steps without overlaps or omitted stages. Final answer aligns with the solution: **4**."], "pair_rm_len_type": "long"}
{"idx": 661, "rm_tag": "pair_rm", "question": "How many ECS components wiil the AliCloud DNS go through in the figure at Page 18?", "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[21]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["Campaign_038_Introducing_AC_Whitepaper_v5e_concat1_0.jpg"], "gt": 1, "preds": ["4 ECS components will the AliCloud DNS go through in the figure at Page 18.", "7 (dynamic routing tables included) ECS components will the AliCloud DNS go through in the figure at Page 18."], "pair_rm_len_type": "short"}
{"idx": 666, "rm_tag": "pair_rm", "question": "According to the document, how many SG University Holidays from 15 May 2016 to 15 Jan 2017?", "doc_id": "StudentSupport_Guidebook.pdf", "doc_type": "Guidebook", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[28]", "evidence_sources": "['Table', 'Generalized-text (Layout)']", "images": ["StudentSupport_Guidebook_concat1_0.jpg"], "gt": 1, "preds": ["To determine the number of SG University Holidays between 15 May 2016 and 15 January 2017, refer to the academic calendar section in the document. The calendar explicitly lists university-recognized holidays within this timeframe. Cross-referencing the dates: 31 May 2016 (Vesak Day), 9 August 2016 (National Day), 12 October 2016 (Deepavali), 25 December 2016 (Christmas Day), and 27 December 2016 ( Boxing Day) fall within the specified period. No other university holidays are documented between these dates. Thus, the total count is 5.", "The SG University Holidays for the period are derived from the academic calendar, which includes 31 May 2016 (Vesak Day), 9 August 2016 (National Day), 12 October 2016 (Deepavali), 25 December 2016 (Christmas Day), 27 December 2016 (Boxing Day), and 1 January 2017 (New Year’s Day). Notably, the range extends to 15 January 2017, making New Year’s Day a valid inclusion. This results in a total of 6 holidays, as confirmed by the calendar’s chronological listing."], "pair_rm_len_type": "long"}
{"idx": 667, "rm_tag": "pair_rm", "question": "According to the document, how many SG University Holidays from 15 May 2016 to 15 Jan 2017?", "doc_id": "StudentSupport_Guidebook.pdf", "doc_type": "Guidebook", "correct_answer": "5", "answer_format": "Int", "evidence_pages": "[28]", "evidence_sources": "['Table', 'Generalized-text (Layout)']", "images": ["StudentSupport_Guidebook_concat1_0.jpg"], "gt": 2, "preds": ["There are 7 SG University Holidays from 15 May 2016 to 15 Jan 2017.", "There are 5 SG University Holidays from 15 May 2016 to 15 Jan 2017."], "pair_rm_len_type": "short"}
{"idx": 670, "rm_tag": "pair_rm", "question": "How many figures are presented in the section of sensors?", "doc_id": "efis-140411041451-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "14", "answer_format": "Int", "evidence_pages": "[22, 23, 24, 25, 16, 27, 28, 29]", "evidence_sources": "['Figure']", "images": ["efis-140411041451-phpapp01_95_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the number of figures in the sensors section. By systematically reviewing the document’s dedicated sensor subsections (e.g., Engine Sensors, Throttle Body Injection, and Sensor Systems), each distinct diagram, schematic, and component illustration is counted. This includes individual images of oxygen sensors, temperature sensors, and related diagrams. After verifying all visual elements labeled or associated with sensor systems, the total count aligns precisely with the provided solution. The correct answer is 14.", "The query requires counting figures in the sensors section. A thorough analysis of the document’s sensor-related content—spanning subsections like Engine Sensors and Throttle Position Sensor layouts—reveals numerous diagrams. Each illustration, including sub-components within composite images (e.g., multi-part schematics of injection systems), is tallied individually. Accounting for subdivisions within primary figures leads to the conclusion that the section contains 16 distinct figures."], "pair_rm_len_type": "long"}
{"idx": 673, "rm_tag": "pair_rm", "question": "According to the figure, what is the first step of cold start?", "doc_id": "2306.05425v1.pdf", "doc_type": "Academic paper", "correct_answer": "Prompt", "answer_format": "Str", "evidence_pages": "[5]", "evidence_sources": "['Figure']", "images": ["2306.05425v1_concat1_0.jpg"], "gt": 1, "preds": ["Prompt is the first step of cold start.", "Model is the first step of cold start."], "pair_rm_len_type": "short"}
{"idx": 674, "rm_tag": "pair_rm", "question": "How many 'Pioneers' and people on the cover of the slides are there in total in the slide?", "doc_id": "ecommerceopportunityindia-141124010546-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "12", "answer_format": "Int", "evidence_pages": "[1, 26]", "evidence_sources": "['Figure']", "images": ["ecommerceopportunityindia-141124010546-conversion-gate01_95_concat1_0.jpg"], "gt": 1, "preds": ["The question requires counting all individuals labeled as \"Pioneers\" in the designated section and those featured on the slide cover. The \"Pioneers\" section contains 10 distinct individuals, while the cover image includes 2 additional people. Summing these gives 10 + 2 = 12. The total count aligns with the spatial arrangement and labeling in the document, confirming the solution as 12.", "To determine the total, first identify all \"Pioneers\" listed in the dedicated section, which totals 8 visible figures. The cover image shows 2 people, but one individual is repeated in both sections, requiring adjustment. Subtracting the duplicate yields 8 + 2 - 1 = 9. This corrected sum accounts for overlapping representation, resulting in a final count of 9."], "pair_rm_len_type": "long"}
{"idx": 676, "rm_tag": "pair_rm", "question": "List the number of the people in the figure in page 6, the number of buildings in page 14,  and the number of legends in figure A in page 3. Write the answer in the list format, for example, [\"1\",\"2\"]", "doc_id": "8e7c4cb542ad160f80fb3d795ada35d8.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['1', '2', '5']", "answer_format": "List", "evidence_pages": "[3, 6, 14]", "evidence_sources": "['Figure']", "images": ["8e7c4cb542ad160f80fb3d795ada35d8_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing the document reveals the counts as follows. Page 6 shows two people interacting near the building, so the first value is \"2\". Page 14 features three buildings, including the smaller structure behind the main edifice, giving \"3\". Figure A’s legend on page 3 contains four distinct items after excluding the title row, resulting in \"4\". The final answer aligns with [\"2\", \"3\", \"4\"].", "To determine the required counts, carefully examine the specified pages. On page 6, the figure depicts a single individual, confirming the first value as \"1\". Page 14 contains an image with two distinct buildings visible, yielding \"2\". For figure A on page 3, the legend lists five labeled elements, resulting in \"5\". The correct sequence is [\"1\", \"2\", \"5\"]."], "pair_rm_len_type": "long"}
{"idx": 678, "rm_tag": "pair_rm", "question": "I'm at the location \"J\" shown in the campus map. Tell me the name of the nearest coffee shop.", "doc_id": "guojixueshengshenghuozhinanyingwen9.1.pdf", "doc_type": "Guidebook", "correct_answer": "Ten Years After Café", "answer_format": "Str", "evidence_pages": "[16, 34]", "evidence_sources": "['Table', 'Figure']", "images": ["guojixueshengshenghuozhinanyingwen9.1_concat1_0.jpg"], "gt": 1, "preds": ["To determine the nearest coffee shop from location J, first locate position J on the campus map, which appears on page 5 of the document. Position J is situated in the northwest section of the campus near the Science and Technology Building cluster. The key coffee establishments visible on the map include Ten Years After Café in the Student Center area, Harvard Coffee House by the Main Library, and the Campus Canteen Cafe. When measuring straight-line distance while accounting for pedestrian pathways (not vehicle routes), Ten Years After Café is the closest to location J at approximately 120 meters. This café is located just southeast of the Student Center building. The final answer is therefore Ten Years After Café.", "Locate position J shown in the lower-right section of the campus map on page 5. This position corresponds to the Journalism Building. When determining proximity to coffee shops, consider both straight-line distance and accessible pathways. The Harvard Coffee House, situated directly east of the Applied Sciences building near the Main Library, registered as the nearest option when measuring from J. Although there appears to be a coffee shop in the Student Center area, its location requires navigating through the Central Quadrangle and Science building corridors, making the route significantly longer. Based on direct pedestrian paths and campus map measurements, Harvard Coffee House is the closest cafe to location J."], "pair_rm_len_type": "long"}
{"idx": 681, "rm_tag": "pair_rm", "question": "what is the percentage change of  return for allowance from 2016 to  2017? Round your answer to one decimal  ", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "60.3%", "answer_format": "Float", "evidence_pages": "[43]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 1, "preds": ["60.3% is the percentage change of return for allowance from 2016 to 2017.", "147.6% is the percentage change of return for allowance from 2016 to 2017."], "pair_rm_len_type": "short"}
{"idx": 689, "rm_tag": "pair_rm", "question": "How many sampled questions illustrated in this slide?", "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[10, 11, 12, 13]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95_concat1_0.jpg"], "gt": 1, "preds": ["4 sampled questions are illustrated in this slide.", "5 sampled questions are illustrated in this slide."], "pair_rm_len_type": "short"}
{"idx": 690, "rm_tag": "pair_rm", "question": "In Figure 9 including three subfigures, among six different methods, which one is the best?", "doc_id": "2312.09390v1.pdf", "doc_type": "Academic paper", "correct_answer": "finetune g.t.", "answer_format": "Str", "evidence_pages": "[14]", "evidence_sources": "['Chart']", "images": ["2312.09390v1_concat1_0.jpg"], "gt": 1, "preds": ["Figure 9 presents three subfigures comparing six different methods across key performance metrics. To identify the best method, we must examine the consistent performance patterns across all subfigures. In the left subfigure, finetune g.t. (ground truth) shows the highest performance with the lowest variance. The middle subfigure confirms this advantage, with finetune g.t. maintaining the top position while other methods exhibit wider intervals. Crucially, in the right subfigure that represents real-world application scenarios, finetune g.t. demonstrates the most robust and consistent results. Each subfigure independently validates this method's superiority, and when combined, they provide compelling evidence. The visual data clearly indicates that finetune g.t. outperforms all other methods consistently across all evaluation conditions, making it the best choice among the six options provided.", "A thorough examination of Figure 9 and its three subfigures reveals important performance patterns across the six methods. The key to determining the optimal approach lies in identifying which method shows the highest average performance across all visualization types. In the left subfigure, pretrain r.a. (pretraining with random augmentation) appears to reach the highest measured values. The middle subfigure demonstrates this method's resilience across different metric scales, maintaining a strong position. The right subfigure, which represents the most comprehensive evaluation, shows pretrain r.a. maintaining the highest confidence intervals with minimal standard deviation. When interpreting study results, performance stability across varying conditions is critical for real-world applicability. Based on the consistent data patterns across all three subfigures, pretrain r.a. demonstrates the strongest overall performance profile, establishing it as the most effective approach among the six methods evaluated."], "pair_rm_len_type": "long"}
{"idx": 694, "rm_tag": "pair_rm", "question": "what is operating leases occurred in FY 2015 for Netfilx?Answer in million.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "34.7", "answer_format": "Float", "evidence_pages": "[54]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 1, "preds": ["To determine Netflix's operating leases for FY 2015, we examine the company's 10-K filing where lease obligations are disclosed. Operating leases are typically reported in the \"Commitments and Contingencies\" section or within the notes to financial statements. In Netflix's 2015 annual report, the operating lease obligations for that fiscal year are specifically documented in the footnotes as relating to office space and equipment. The relevant section shows the lease expense recognized in the income statement for operating leases. After reviewing the financial statement disclosures, the precise amount recorded for operating leases incurred during fiscal year 2015 is $34.7 million, as this figure represents the actual lease expense recognized in that period according to the company's accounting records.", "To calculate Netflix's operating leases for FY 2015, we need to analyze the company's disclosure of long-term obligations. The operating lease data is found in Note 12 of the financial statements, which details future minimum lease payments. By examining the breakdown of these future commitments, we can identify the portion that fell within the 2015 fiscal year. The document shows a total minimum operating lease payment schedule, and when examining the column for \"Less than 1 year,\" we find the value of $347.0 million, which represents the upcoming year's lease obligation. Though this figure may appear in the context of future commitments, it directly corresponds to the operating lease expense recognized during the fiscal year 2015 in accordance with Netflix's reporting methodology."], "pair_rm_len_type": "long"}
{"idx": 695, "rm_tag": "pair_rm", "question": "what is operating leases occurred in FY 2015 for Netfilx?Answer in million.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "34.7", "answer_format": "Float", "evidence_pages": "[54]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 2, "preds": ["727.8 million (floating liabilities adjustment from footnote 42) is the amount of operating leases occurred in FY 2015 for Netflix.", "34.7 million is the amount of operating leases occurred in FY 2015 for Netflix."], "pair_rm_len_type": "short"}
{"idx": 699, "rm_tag": "pair_rm", "question": "How many days of rapid hardening cement are needed for the first structural member shown in the slides?", "doc_id": "formwork-150318073913-conversion-gate01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[12, 55]", "evidence_sources": "['Table']", "images": ["formwork-150318073913-conversion-gate01_95_concat1_0.jpg"], "gt": 2, "preds": ["5 days of rapid hardening cement are needed for the first structural member shown in the slides.", "2 days of rapid hardening cement are needed for the first structural member shown in the slides."], "pair_rm_len_type": "short"}
{"idx": 700, "rm_tag": "pair_rm", "question": "Looking at the Slide of country overview, by what percent did \"Smartphone Penetration\" grow between 2013 and 2015?", "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "26%", "answer_format": "Float", "evidence_pages": "[3]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)', 'Chart']", "images": ["indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95_concat1_0.jpg"], "gt": 2, "preds": ["The percentage growth is derived by first identifying smartphone penetration values for 2013 and 2015 from the slide. With 2013 at 47% and 2015 at 60%, subtract to find the absolute increase (13%). Divide this by the 2015 value (13 ÷ 60 ≈ 0.217) and multiply by 100, resulting in a 22% growth rate. This calculation correctly accounts for the compound annual growth trend observed in the dataset.", "To determine the percentage growth of smartphone penetration between 2013 and 2015, locate the values from the \"Country Overview\" slide. Assume 2013 penetration was 47% and 2015 was 60%. Calculate the difference (60 - 47 = 13), then divide by the 2013 value (13 ÷ 47 ≈ 0.277). Multiply by 100 to convert to a percentage, yielding approximately 26%. The growth rate aligns with the documented data, confirming the final answer as 26%."], "pair_rm_len_type": "long"}
{"idx": 701, "rm_tag": "pair_rm", "question": "Looking at the Slide of country overview, by what percent did \"Smartphone Penetration\" grow between 2013 and 2015?", "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "26%", "answer_format": "Float", "evidence_pages": "[3]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)', 'Chart']", "images": ["indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95_concat1_0.jpg"], "gt": 1, "preds": ["Smartphone Penetration grew by 26% between 2013 and 2015.", "Smartphone Penetration grew by 19% between 2013 and 2015."], "pair_rm_len_type": "short"}
{"idx": 709, "rm_tag": "pair_rm", "question": "In the Leadership program section, how many male are there with glasses? Please write the answer in floqt format.", "doc_id": "GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[11, 12]", "evidence_sources": "['Figure', 'Generalized-text (Layout)']", "images": ["GPL-Graduate-Studies-Professional-Learning-Brochure-Jul-2021_concat1_0.jpg"], "gt": 1, "preds": ["4 males in the Leadership program section have glasses.", "3 males in the Leadership program section have glasses."], "pair_rm_len_type": "short"}
{"idx": 710, "rm_tag": "pair_rm", "question": "How many website URLs are contained in the slides?", "doc_id": "competitiveoutcomes-091006065143-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[42, 43, 48]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["competitiveoutcomes-091006065143-phpapp01_95_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the total number of website URLs in the slides. To determine this, carefully scan each section of the document. The slides contain three distinct URLs: one under the \"Examples of hours accumulation\" section (a hyperlink labeled \"CLICK HERE\"), another in the \"The power of intentional focus\" section referencing a Slideshare link, and a third URL embedded in the \"Bryce Harper\" section. Each is a valid web address. After verifying all instances, the correct count is **3**.", "The question requires identifying website URLs across the slides. A thorough review reveals four URLs: the Slideshare link in the \"Examples of hours accumulation\" section, a second link labeled \"CLICK HERE\" in the same area, a third URL in the \"Bryce Harper\" section, and an additional hyperlink in the \"Talent on the violin\" segment. These are all clearly formatted web addresses. Thus, the total number is **4**."], "pair_rm_len_type": "long"}
{"idx": 711, "rm_tag": "pair_rm", "question": "How many website URLs are contained in the slides?", "doc_id": "competitiveoutcomes-091006065143-phpapp01_95.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[42, 43, 48]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["competitiveoutcomes-091006065143-phpapp01_95_concat1_0.jpg"], "gt": 2, "preds": ["4 website URLs are contained in the slides.", "3 website URLs are contained in the slides."], "pair_rm_len_type": "short"}
{"idx": 714, "rm_tag": "pair_rm", "question": "How many more claims does the Wiki Table datasets have comparing to scientific articles datasets? Please writeh the answer in int format. ", "doc_id": "2305.13186v3.pdf", "doc_type": "Academic paper", "correct_answer": "197940", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["2305.13186v3_concat1_0.jpg"], "gt": 1, "preds": ["To determine the difference in claim counts between the Wiki Table datasets and scientific articles datasets, we need to locate the specific numbers for each dataset in the document. The Wiki Table dataset is clearly documented to contain 215,364 claims based on the \"Dataset Statistics\" section visible in Figure 4. The scientific articles dataset, as stated in the same section, contains 17,424 claims. To find how many more claims the Wiki Table dataset has, we subtract the scientific articles count from the Wiki Table count: 215,364 - 17,424 = 197,940. This represents the precise difference in the number of claims between these two datasets, with the Wiki Table dataset containing significantly more claims. The answer is 197940.", "To calculate how many more claims the Wiki Table datasets have compared to scientific articles datasets, we examine the dataset statistics presented in the document. The Wiki Table dataset contains 224,380 claims as shown in the comparative table on page 7. The scientific articles dataset has 26,440 claims according to the same source. By subtracting the scientific articles count from the Wiki Table count (224,380 - 26,440), we determine that the Wiki Table datasets have 197,940 more claims than the scientific articles datasets. However, upon closer inspection of the footnote references, we see that the 224,380 figure includes overlapping claims that should be excluded, leading to a revised calculation of 194,520 additional claims in the Wiki Table datasets. The correct difference is 194520."], "pair_rm_len_type": "long"}
{"idx": 716, "rm_tag": "pair_rm", "question": "What is the place locating at the intersection between Zijing Road and Xuetang Road? Give me the letter shown in the campus map of this guideline.  For example, \"A\". ", "doc_id": "guojixueshengshenghuozhinanyingwen9.1.pdf", "doc_type": "Guidebook", "correct_answer": "C", "answer_format": "Str", "evidence_pages": "[34]", "evidence_sources": "['Figure']", "images": ["guojixueshengshenghuozhinanyingwen9.1_concat1_0.jpg"], "gt": 2, "preds": ["To determine the location, examine the campus map by identifying Zijing Road and Xuetang Road. Zijing Road runs east-west near the southern boundary of the main campus, while Xuetang Road extends north-south through the academic zone. At their intersection, the map clearly marks the letter \"D\" as the corresponding location. This aligns with the guidelines for navigation across campus pathways. Therefore, the answer is D.", "To identify the location at the intersection of Zijing Road and Xuetang Road, refer to the campus map in the guideline. First, locate Zijing Road (a major east-west route) and Xuetang Road (a key north-south thoroughfare). Trace both roads until their crossing point is found. The map explicitly labels this intersection with the letter \"C,\" confirming the correct answer. Thus, the solution is C."], "pair_rm_len_type": "long"}
{"idx": 717, "rm_tag": "pair_rm", "question": "What is the place locating at the intersection between Zijing Road and Xuetang Road? Give me the letter shown in the campus map of this guideline.  For example, \"A\". ", "doc_id": "guojixueshengshenghuozhinanyingwen9.1.pdf", "doc_type": "Guidebook", "correct_answer": "C", "answer_format": "Str", "evidence_pages": "[34]", "evidence_sources": "['Figure']", "images": ["guojixueshengshenghuozhinanyingwen9.1_concat1_0.jpg"], "gt": 1, "preds": ["C is the place locating at the intersection between Zijing Road and Xuetang Road, as shown in the campus map of this guideline.", "B is the place locating at the intersection between Zijing Road and Xuetang Road, as shown in the campus map of this guideline."], "pair_rm_len_type": "short"}
{"idx": 720, "rm_tag": "pair_rm", "question": "From this report, which subgroup among Hispanics has gained most confidence from 2008 to 2015? ", "doc_id": "PH_2016.06.08_Economy-Final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Some college or more", "answer_format": "Str", "evidence_pages": "[14]", "evidence_sources": "['Chart']", "images": ["PH_2016.06.08_Economy-Final_concat1_0.jpg"], "gt": 2, "preds": ["The report provides extensive data on Hispanic confidence levels with particular emphasis on demographic breakdowns between 2008 and 2015. When analyzing confidence gains over this timeframe, it's essential to consider both the magnitude of change and the baseline confidence levels. The document on page 9 details confidence percentages by educational attainment, and a careful reading reveals that the \"Less than high school\" subgroup experienced the most dramatic improvement. This cohort showed a 22 percentage point increase in financial confidence, significantly surpassing other educational categories when calculated as a rate of growth from their 2008 starting position. The report notes this subgroup began at a lower confidence baseline, which amplified their relative gains even if absolute numbers initially appeared smaller. Additional context in the methodology section supports this interpretation by explaining how smaller initial percentages can yield higher growth rates. Considering all data points and the relative improvement metrics emphasized in the study, the subgroup that has gained most confidence from 2008 to 2015 is less than high school.", "The report analyzes Hispanic confidence levels across various demographic subgroups from 2008 to 2015, with particular attention to educational attainment. When examining confidence gains over this period, the data must be interpreted by comparing percentage point changes between the two years rather than absolute values. The document contains a specific chart on page 9 showing confidence increases by education level, where \"Some college or more\" demonstrates the largest positive shift in financial confidence. This subgroup's confidence trajectory significantly outpaces other categories like high school graduates or those with less education. The methodology section confirms these measurements were tracked consistently across the time period, ensuring valid year-over-year comparisons. After considering all subgroups including age and income categories, the educational attainment metric provides the clearest evidence of differential confidence growth. Following the data presentation and trend analysis in the report, the subgroup that has gained most confidence from 2008 to 2015 is some college or more."], "pair_rm_len_type": "long"}
{"idx": 721, "rm_tag": "pair_rm", "question": "From this report, which subgroup among Hispanics has gained most confidence from 2008 to 2015? ", "doc_id": "PH_2016.06.08_Economy-Final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Some college or more", "answer_format": "Str", "evidence_pages": "[14]", "evidence_sources": "['Chart']", "images": ["PH_2016.06.08_Economy-Final_concat1_0.jpg"], "gt": 1, "preds": ["Some college or more subgroup among Hispanics has gained most confidence from 2008 to 2015.", "Less than high school subgroup among Hispanics has not gained most confidence from 2008 to 2015."], "pair_rm_len_type": "short"}
{"idx": 724, "rm_tag": "pair_rm", "question": "Which figures include line plots in the paper?", "doc_id": "2405.09818v1.pdf", "doc_type": "Academic paper", "correct_answer": "['Figure 5', 'Figure 6']", "answer_format": "List", "evidence_pages": "[6, 7]", "evidence_sources": "['Chart']", "images": ["2405.09818v1_concat1_0.jpg"], "gt": 2, "preds": ["When determining which figures contain line plots, we should focus on any visual representation showing data points plotted along an x-y axis. Line plots display continuous data trends, but in this paper, the visualizations require careful interpretation. Figures 3 and 4 both present data across multiple conditions with trend lines showing comparative performance metrics. Figure 3 contains several plotted lines tracking experimental results over different parameters, while Figure 4 shows comparative measurements using connected data points. These figures clearly display the characteristic features of line plots with continuous data representation through connected points. While other figures contain different visualization types, the clearest examples of line plots are found in these sections. Final answer: ['Figure 3', 'Figure 4']", "To identify which figures contain line plots, we must examine each figure in the document and determine if it displays data points connected by straight line segments, typically showing trends over time or another continuous variable. Line plots differ from bar charts, scatter plots, or other visualization types. After reviewing the paper, we can observe that Figure 5 presents multiple line graphs depicting performance metrics across different conditions, while Figure 6 shows line plots comparing various experimental outcomes. The other figures contain different visualization types: Figure 1 is a system architecture diagram, Figure 2 shows image examples, Figure 3 displays a heatmap, Figure 4 presents a table, and Figure 7 shows a different type of graph. The analysis confirms that only Figures 5 and 6 meet the criteria for line plots. Final answer: ['Figure 5', 'Figure 6']"], "pair_rm_len_type": "long"}
{"idx": 727, "rm_tag": "pair_rm", "question": "Among Republicans, which age group has the highest proportion of support for making Election Day a national holiday?", "doc_id": "PP_2021.04.22_voting-access_REPORT.pdf", "doc_type": "Research report / Introduction", "correct_answer": "18-34", "answer_format": "Str", "evidence_pages": "[11]", "evidence_sources": "['Chart']", "images": ["PP_2021.04.22_voting-access_REPORT_concat1_0.jpg"], "gt": 2, "preds": ["65+ age group has the highest proportion of support for making Election Day a national holiday among Republicans.", "18-34 age group has the highest proportion of support for making Election Day a national holiday among Republicans."], "pair_rm_len_type": "short"}
{"idx": 729, "rm_tag": "pair_rm", "question": "What is the percentage gap between the youngest age group and the oldest age group that strongly disapproves of the way the president, who started his job in 2018, was handling his job in the survey of U.S. adults conducted April 25-May 1, 2018? Please write the answer in float format", "doc_id": "05-03-18-political-release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "7.0", "answer_format": "Float", "evidence_pages": "[8, 10]", "evidence_sources": "['Pure-text (Plain-text)', 'Chart']", "images": ["05-03-18-political-release_concat1_0.jpg"], "gt": 1, "preds": ["7.0 is the percentage gap between the youngest age group and the oldest age group that strongly disapproves of the way the president, who started his job in 2018, was handling his job in the survey of U.S. adults conducted April 25-May 1, 2018.", "14.0 is the percentage gap between the youngest age group and the oldest age group that strongly disapproves of the way the president, who started his job in 2018, was handling his job in the survey of U.S. adults conducted April 25-May 1, 2018."], "pair_rm_len_type": "short"}
{"idx": 736, "rm_tag": "pair_rm", "question": "What is the sum ratio of shares held of the top-3 shareholders as on 31st, March, 2007?", "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", "doc_type": "Financial report", "correct_answer": "51.02%", "answer_format": "Float", "evidence_pages": "[9]", "evidence_sources": "['Table']", "images": ["f86d073b0d735ac873a65d906ba82758_concat1_0.jpg"], "gt": 2, "preds": ["The sum ratio requires identifying the three largest shareholders from the 2007 annual report and adding their stakes. Reviewing the shareholding details, the top three positions are labeled as 26.1%, 15.7%, and 11.3%, which sum to 53.1%. Cross-referencing these figures with the total shares outstanding validates the combined proportion. This ratio aligns with the disclosed ownership structure, confirming the total of 53.1% as the correct aggregate for the top shareholders.", "To determine the sum ratio of shares held by the top-3 shareholders as of March 31, 2007, locate the \"Shareholding Pattern\" section in the document. Extract the individual percentages for the three largest shareholders from the 2007 data. Sum these values (e.g., 25.5% + 15.3% + 10.22%) and verify against the total share capital. The calculation confirms the combined ratio is 51.02%, reflecting precise aggregation of the top three stakeholders' holdings as disclosed in the regulatory filing."], "pair_rm_len_type": "long"}
{"idx": 739, "rm_tag": "pair_rm", "question": "what is Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023? Answer in million", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "1874", "answer_format": "Float", "evidence_pages": "[44]", "evidence_sources": "['Table']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "gt": 2, "preds": ["Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023, is 2450 million.", "Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023, is 1874 million."], "pair_rm_len_type": "short"}
{"idx": 741, "rm_tag": "pair_rm", "question": "How many subfigures are in Figure 3?", "doc_id": "2312.09390v1.pdf", "doc_type": "Academic paper", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[8]", "evidence_sources": "['Chart']", "images": ["2312.09390v1_concat1_0.jpg"], "gt": 1, "preds": ["Figure 3 contains 6 subfigures.", "Figure 3 contains 8 subfigures."], "pair_rm_len_type": "short"}
{"idx": 743, "rm_tag": "pair_rm", "question": "What is the average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset? Please write down the answer in float format with 2 decimals.", "doc_id": "2310.07609v1.pdf", "doc_type": "Academic paper", "correct_answer": "0.45", "answer_format": "Float", "evidence_pages": "[6]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["2310.07609v1_concat1_0.jpg"], "gt": 2, "preds": ["The average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset is 0.55.", "The average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset is 0.45."], "pair_rm_len_type": "short"}
{"idx": 744, "rm_tag": "pair_rm", "question": "what is Amazon's FY2017 return on equity? round your answer to three decimal", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.109", "answer_format": "Float", "evidence_pages": "[38, 40]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 2, "preds": ["Amazon’s FY2017 return on equity is derived by dividing net income by ending shareholders’ equity. The company reported $3.033 billion in net income, with total equity of $22.5 billion at year-end. Using this value, the ROE is $3.033 billion / $22.5 billion ≈ 0.135. This method directly applies financial statement figures without adjustments, yielding a precise result when rounded to three decimal places.", "To determine Amazon’s FY2017 return on equity (ROE), the formula is net income divided by average shareholders’ equity. Amazon’s FY2017 net income was $3.033 billion, with average shareholders’ equity calculated as ($23.4 billion + $25.6 billion)/2 = $24.5 billion. The ROE is $3.033 billion / $24.5 billion ≈ 0.109, rounded to three decimal places. This aligns with the provided solution, confirming the accuracy of the calculation."], "pair_rm_len_type": "long"}
{"idx": 745, "rm_tag": "pair_rm", "question": "what is Amazon's FY2017 return on equity? round your answer to three decimal", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.109", "answer_format": "Float", "evidence_pages": "[38, 40]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 1, "preds": ["Amazon's FY2017 return on equity is 0.109.", "Amazon's FY2017 return on equity is 0.215."], "pair_rm_len_type": "short"}
{"idx": 747, "rm_tag": "pair_rm", "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "1.344", "answer_format": "Float", "evidence_pages": "[36, 38, 40, 53]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 2, "preds": ["The total debt to EBITDA ratio of COSTCO in FY2021 is 2.567.", "The total debt to EBITDA ratio of COSTCO in FY2021 is 1.344."], "pair_rm_len_type": "short"}
{"idx": 748, "rm_tag": "pair_rm", "question": "How many datasets are reported in Pages 49-50?", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "13", "answer_format": "Int", "evidence_pages": "[48, 49]", "evidence_sources": "['Table']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 2, "preds": ["The question requires counting all datasets mentioned on Pages 49-50 of the document. A thorough analysis should focus on identifying datasets labeled as \"Dataset X\" or explicitly referenced as unique data sources. When examining these pages, we need to count each named dataset, including those referenced in footnotes, figures, and tables. If we carefully review the methodology section on Page 49 where datasets are described and the results section on Page 50 where they are analyzed, we can identify 11 primary datasets. However, we must also include 4 additional datasets mentioned in the margin notes and references section, which were previously overlooked. Additionally, two datasets that appear in both pages should be counted twice since they're referenced in different contexts. After a complete review of all data references across both pages, the total number of datasets reported is 17.", "To determine the number of datasets reported in Pages 49-50, a systematic review of the document's content is required. First, examine all figures, tables, and explicit references to datasets on these pages. Each distinct experimental or evaluation dataset should be counted individually, excluding supplementary materials or references to prior work. When scanning Pages 49-50, we find 9 datasets in the main text sections and 4 additional datasets referenced in figure captions and table footnotes. This comprehensive count includes all primary datasets used for the study's evaluation. The total number of datasets across these two pages, when carefully identified and counted without duplication, is 13. This count has been verified by cross-referencing with the methodology description and results sections of the document."], "pair_rm_len_type": "long"}
{"idx": 753, "rm_tag": "pair_rm", "question": "How many cameras outside the China area does the figure at Page 19 has? Write the answer in float format.", "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", "doc_type": "Brochure", "correct_answer": "3.0", "answer_format": "Float", "evidence_pages": "[22]", "evidence_sources": "['Generalized-text (Layout)', 'Figure']", "images": ["Campaign_038_Introducing_AC_Whitepaper_v5e_concat1_0.jpg"], "gt": 1, "preds": ["3.0 cameras outside the China area does the figure at Page 19 have.", "2.0 cameras outside the China area does the figure at Page 19 have."], "pair_rm_len_type": "short"}
{"idx": 756, "rm_tag": "pair_rm", "question": "How many subplots are related to obvious loss spikies?", "doc_id": "2405.09818v1.pdf", "doc_type": "Academic paper", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[6, 7]", "evidence_sources": "['Figure']", "images": ["2405.09818v1_concat1_0.jpg"], "gt": 2, "preds": ["A thorough review of all figures reveals multiple subplots displaying loss behaviors. In Figure 5, there are three separate subplots (5a, 5b, and 5c) that show distinct patterns of loss fluctuation. Each of these demonstrates what could reasonably be interpreted as \"obvious loss spikies\" - 5a shows sharp intermittent spikes, 5b displays periodic volatility with clear peaks, and 5c includes several pronounced upward surges. Given the question's use of \"obvious\" rather than requiring extremely pronounced spikes, all three of these subplots meet the criteria. The document's context on model training instability further supports counting these as meaningful spiky patterns in loss metrics.", "When examining the document's figures for subplots showing loss patterns, we focus specifically on those exhibiting \"obvious loss spikies\" - sharp, distinctive spikes rather than smooth convergence patterns. Looking through all figures, Figure 5c (titled \"Loss patterns across data types\") contains multiple subplots, but only one subplot clearly displays the sudden, prominent spikes in loss values that would be classified as \"obvious\" by standard interpretation. The other subplots show either gradual decreases in loss, oscillations, or plateaus that don't meet the criteria of being \"obvious\" spikes. This careful examination confirms that exactly 1 subplot demonstrates the characteristic spike pattern described in the question."], "pair_rm_len_type": "long"}
{"idx": 757, "rm_tag": "pair_rm", "question": "How many subplots are related to obvious loss spikies?", "doc_id": "2405.09818v1.pdf", "doc_type": "Academic paper", "correct_answer": "1", "answer_format": "Int", "evidence_pages": "[6, 7]", "evidence_sources": "['Figure']", "images": ["2405.09818v1_concat1_0.jpg"], "gt": 1, "preds": ["1 subplot is related to obvious loss spikies.", "3 subplots are related to obvious loss spikies."], "pair_rm_len_type": "short"}
{"idx": 758, "rm_tag": "pair_rm", "question": "What task is on the top of the planning branch of the tree?", "doc_id": "2306.05425v1.pdf", "doc_type": "Academic paper", "correct_answer": "egocentric planning", "answer_format": "Str", "evidence_pages": "[2]", "evidence_sources": "['Figure']", "images": ["2306.05425v1_concat1_0.jpg"], "gt": 1, "preds": ["The question asks about the highest-level task in the planning branch of the tree structure presented in the document. To determine this, one must examine the hierarchical organization of planning tasks shown in Figure 7. The planning branch demonstrates a top-down structure where foundational cognitive approaches are positioned at higher levels. The topmost node represents the primary orientation that informs all subsequent planning tasks. This structure clearly shows egocentric planning at the apex of the planning branch, indicating that the planning process originates from a self-referential perspective. This makes sense in the context of the cognitive framework presented, where personal perspective forms the basis for more detailed planning operations. The correct answer is egocentric planning.", "The question requires identifying the highest task in the planning branch of the tree diagram. When analyzing the document's tree structure in Figure 7, it's important to consider how planning hierarchies typically operate. Planning branches in cognitive frameworks usually begin with abstract, organizing principles before moving to specific implementations. The top of such a branch commonly represents the structural framework that enables all subsequent planning. In this case, hierarchical planning sits at the highest level of the tree because it establishes the layered organization needed for effective planning processes. This is consistent with standard cognitive architecture models where hierarchical structure is fundamental to planning operations. Therefore, hierarchical planning is the correct answer."], "pair_rm_len_type": "long"}
{"idx": 759, "rm_tag": "pair_rm", "question": "What task is on the top of the planning branch of the tree?", "doc_id": "2306.05425v1.pdf", "doc_type": "Academic paper", "correct_answer": "egocentric planning", "answer_format": "Str", "evidence_pages": "[2]", "evidence_sources": "['Figure']", "images": ["2306.05425v1_concat1_0.jpg"], "gt": 2, "preds": ["allocentric planning is on the top of the planning branch of the tree.", "egocentric planning is on the top of the planning branch of the tree."], "pair_rm_len_type": "short"}
{"idx": 760, "rm_tag": "pair_rm", "question": "What is the benefit of level-2 in the system has passed TRUCS in Page 8?", "doc_id": "obs-productdesc-en.pdf", "doc_type": "Guidebook", "correct_answer": "Multi-AZ storage", "answer_format": "Str", "evidence_pages": "[12]", "evidence_sources": "['Figure', 'Pure-text (Plain-text)']", "images": ["obs-productdesc-en_concat1_0.jpg"], "gt": 2, "preds": ["The question addresses the advantages of achieving level-2 certification under TRUCS (Technical Requirements for Unified Cloud Services) as documented on Page 8. TRUCS consists of progressive certification levels where level-2 validates adherence to cross-region disaster recovery standards. According to Page 8, systems at this level must implement global data replication across geographically dispersed regions to meet certification requirements. This architectural pattern enables organizations to withstand complete regional outages by maintaining data synchronization across continents. The primary benefit gained at level-2 is the ability to provide uninterrupted service during catastrophic regional failures through automatic data failover between continents. Global replication architecture", "The question refers to the certification benefits after a system passes TRUCS (Technical Requirements for Unified Cloud Services) at level-2 as detailed on Page 8. TRUCS represents a compliance framework with tiered certification levels, where level-2 validates specific architectural requirements for cloud infrastructure. Page 8 outlines that level-2 certification requires implementation of multi-availability zone storage architecture to ensure high availability and fault tolerance. This architecture automatically distributes data across multiple isolated data centers within the same region, providing seamless failover during infrastructure failures. The key benefit realized at this certification level is enhanced data durability and system resilience without requiring manual intervention to maintain operations. Multi-AZ storage"], "pair_rm_len_type": "long"}
{"idx": 762, "rm_tag": "pair_rm", "question": "List all pages on which the logo of CQC locates. The answer should be formatted as a list like ['Page 2', 'Page 4'].", "doc_id": "379f44022bb27aa53efd5d322c7b57bf.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['Page 1', 'Page 5']", "answer_format": "List", "evidence_pages": "[1, 5]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["379f44022bb27aa53efd5d322c7b57bf_concat1_0.jpg"], "gt": 1, "preds": ["To determine the pages with the CQC logo, carefully examine the top-left corner of each page in the document. The logo appears prominently on the first page of the report and again on the fifth page in the layout sequence. Cross-referencing each page confirms the logo’s presence solely on these two pages. Final answer: ['Page 1', 'Page 5']", "A thorough review of the document reveals the CQC logo positioned at the top of the first page and consistently repeated on the fourth page across the five-page grid. Analyzing the header sections confirms this pattern without exception. Final answer: ['Page 1', 'Page 4']"], "pair_rm_len_type": "long"}
{"idx": 763, "rm_tag": "pair_rm", "question": "List all pages on which the logo of CQC locates. The answer should be formatted as a list like ['Page 2', 'Page 4'].", "doc_id": "379f44022bb27aa53efd5d322c7b57bf.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['Page 1', 'Page 5']", "answer_format": "List", "evidence_pages": "[1, 5]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["379f44022bb27aa53efd5d322c7b57bf_concat1_0.jpg"], "gt": 2, "preds": ["The logo of CQC is located on ['Page 2', 'Page 4'].", "The logo of CQC is located on ['Page 1', 'Page 5']."], "pair_rm_len_type": "short"}
{"idx": 766, "rm_tag": "pair_rm", "question": "what profit  did Memberships contribute to in Domestic Streaming Segment in FY2015? Answer in thousands.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "1375500.00", "answer_format": "Float", "evidence_pages": "[21]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 1, "preds": ["To determine the profit contribution from Memberships in the Domestic Streaming Segment for FY2015, carefully examine the financial statement section dedicated to segment reporting. The document contains a breakdown of revenue and profit by business segment, with a specific line item detailing Membership profit contribution. In the Domestic Streaming Segment section, locate the profit column for FY2015 and identify the portion specifically attributed to Memberships. The calculation requires distinguishing between revenue and profit figures, ensuring you're referencing the contribution margin after appropriate cost allocations. The document clearly shows that Memberships contributed significantly to the segment's profitability, with the specific profit amount listed in thousands as 1375500.00. Thus, the final answer is 1375500.00.", "To determine the profit contribution from Memberships in the Domestic Streaming Segment for FY2015, examine the financial statement section that details segment performance. The document includes a comprehensive breakdown where Membership revenue is clearly separated from other revenue streams. Look for the Domestic Streaming Segment data and identify the Membership line item. When analyzing the profit figure, be sure to consider all applicable costs and revenue recognition timing. The document shows that while Membership revenue was substantial, certain costs needed to be subtracted to arrive at profit. Following the methodology presented for segment profit calculation and focusing on the FY2015 column, the specific profit contribution from Memberships is 892400.00 when reported in thousands. This figure represents the net profit contribution after appropriate cost allocations."], "pair_rm_len_type": "long"}
{"idx": 770, "rm_tag": "pair_rm", "question": "How many charts are related to mudslinging?", "doc_id": "11-21-16-Updated-Post-Election-Release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[7, 34]", "evidence_sources": "['Chart']", "images": ["11-21-16-Updated-Post-Election-Release_concat1_0.jpg"], "gt": 1, "preds": ["To determine the count of mudslinging-related charts, focus on sections explicitly analyzing negative campaigning, personal attacks, or derogatory rhetoric. Reviewing the document’s structure, Page 4 features a chart on \"negative ads in presidential races,\" Page 7 contains two visualizations tracking \"smear tactics across election cycles,\" and no other pages address direct mudslinging. Cross-referencing ensures no duplicates or irrelevant visuals (e.g., policy comparisons) are included. The analysis confirms three distinct charts centered on mudslinging dynamics. Final answer: 3.", "A comprehensive scan identifies mudslinging through themes of opponent criticism and sensationalized rhetoric. Pages 4, 7, and 9 each include two charts detailing attack ads and smear strategies, while Page 12 incorporates a contextual chart on voter sentiment influenced by negative campaigning. Including this supplementary visual—as it reflects indirect mudslinging effects—brings the total to four. The analysis accounts for all relevant sections, confirming four charts tied to mudslinging. Final answer: 4."], "pair_rm_len_type": "long"}
{"idx": 771, "rm_tag": "pair_rm", "question": "How many charts are related to mudslinging?", "doc_id": "11-21-16-Updated-Post-Election-Release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[7, 34]", "evidence_sources": "['Chart']", "images": ["11-21-16-Updated-Post-Election-Release_concat1_0.jpg"], "gt": 2, "preds": ["4 charts are related to mudslinging.", "3 charts are related to mudslinging."], "pair_rm_len_type": "short"}
{"idx": 773, "rm_tag": "pair_rm", "question": "List all countries, except U.S. and German, that are mentioned in some illustrated surveys of this report. Note that we do not count EU as a single country.", "doc_id": "PG_2020.03.09_US-Germany_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "['UK', 'Israel', 'China', 'Canada', 'Mexico', 'Japan', 'France', 'Austria', 'Russia']", "answer_format": "List", "evidence_pages": "[11, 13]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PG_2020.03.09_US-Germany_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["The countries, except U.S. and German, that are mentioned in some illustrated surveys of this report are UK, Israel, China, Canada, Mexico, Japan, France, Austria, and Russia.", "The countries, except U.S. and German, that are mentioned in some illustrated surveys of this report are UK, Israel, China, Canada, Mexico, Japan, France, Germany, and Russia."], "pair_rm_len_type": "short"}
{"idx": 777, "rm_tag": "pair_rm", "question": "In the photo provided by BRYAN VOON,  how many different people are there wearing glasses?", "doc_id": "NUS-Business-School-BBA-Brochure-2024.pdf", "doc_type": "Brochure", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[22]", "evidence_sources": "['Figure']", "images": ["NUS-Business-School-BBA-Brochure-2024_concat1_0.jpg"], "gt": 1, "preds": ["There are 3 different people wearing glasses in the photo provided by BRYAN VOON.", "There are 4 different people wearing glasses in the photo provided by BRYAN VOON."], "pair_rm_len_type": "short"}
{"idx": 778, "rm_tag": "pair_rm", "question": "On the dataset map of PathMNIST, does the map by ground truth or pseudo-labels have a larger confidence variance?", "doc_id": "2210.02442v1.pdf", "doc_type": "Academic paper", "correct_answer": "ground truth", "answer_format": "Str", "evidence_pages": "[22]", "evidence_sources": "['Figure']", "images": ["2210.02442v1_concat1_0.jpg"], "gt": 1, "preds": ["Analyzing Figure 6 from the dataset map visualization, the confidence variance is calculated by measuring the standard deviation of confidence scores across the feature space representation. Ground truth labels reflect authentic medical variations in histopathological samples, leading to higher uncertainty in certain regions where visual distinctions between classes become ambiguous. Pseudo-labels, generated through model predictions, tend to produce more consistent confidence estimates since they're constrained by the model's existing knowledge patterns. The quantitative analysis in Table 5 shows ground truth variance at 0.31 compared to 0.19 for pseudo-labels, confirming the greater dispersion in confidence scores. This higher variability in ground truth is expected because human experts recognize subtle pathological variations that models might standardize. The answer is ground truth.", "Evaluating the PathMNIST dataset map requires examining how confidence scores distribute across the feature space. Pseudo-labels, being algorithmically generated rather than human-annotated, exhibit higher confidence variance due to the model's inconsistent handling of edge cases and uncertain samples. The visual representation in Figure 6 shows greater spread in confidence values for pseudo-label regions, particularly in transitional areas between classes. This increased variability stems from iterative pseudo-labeling processes amplifying uncertainty in ambiguous regions. Quantitative metrics in Table 5 indicate pseudo-label variance at 0.27 compared to 0.21 for ground truth, confirming the greater dispersion. This pattern makes sense because pseudo-labeling systems struggle with pathological outliers that human experts can consistently classify. Therefore, the map by pseudo-labels has a larger confidence variance."], "pair_rm_len_type": "long"}
{"idx": 780, "rm_tag": "pair_rm", "question": "How many percentage respondents in this survey access to internet few times a week or more?", "doc_id": "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "14%", "answer_format": "Float", "evidence_pages": "[40, 41]", "evidence_sources": "['Figure']", "images": ["finalmediafindingspdf-141228031149-conversion-gate02_95_concat1_0.jpg"], "gt": 2, "preds": ["When calculating the percentage of respondents with internet access few times a week or more, all regular usage categories must be considered. Adding \"Everyday\" (7%), \"Few times a week\" (7%), and \"Few times a month\" (10%) accounts for all non-\"Never\" usage. This sum results in 24% of respondents.", "To determine the percentage of survey respondents accessing the internet few times a week or more, we analyze the \"Access to Internet\" section. This category includes \"Everyday\" and \"Few times a week\" access frequencies. Summing these values (7% + 7%) gives the total percentage. Thus, 14% of respondents meet this criterion."], "pair_rm_len_type": "long"}
{"idx": 781, "rm_tag": "pair_rm", "question": "How many percentage respondents in this survey access to internet few times a week or more?", "doc_id": "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "14%", "answer_format": "Float", "evidence_pages": "[40, 41]", "evidence_sources": "['Figure']", "images": ["finalmediafindingspdf-141228031149-conversion-gate02_95_concat1_0.jpg"], "gt": 1, "preds": ["14% of respondents in this survey access the internet few times a week or more.", "86% of respondents in this survey do not access the internet few times a week or more."], "pair_rm_len_type": "short"}
{"idx": 782, "rm_tag": "pair_rm", "question": "what percentage did Global streaming memberships increase from 2014 to 2015?Answer in percentage term, round to one decimal places.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "30.3%", "answer_format": "Float", "evidence_pages": "[19]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 1, "preds": ["To determine the percentage increase in Global streaming memberships from 2014 to 2015, we need to calculate the year-over-year growth rate. The formula for percentage increase is ((New Value - Original Value) / Original Value) × 100. According to the financial report data, global streaming memberships totaled 28.7 million in 2014 and grew to 37.4 million in 2015. The calculation is ((37.4 - 28.7) / 28.7) × 100 = (8.7 / 28.7) × 100 = 30.3135...%. Rounded to one decimal place as required, the final answer is 30.3%.", "To calculate the percentage increase for Global streaming memberships between 2014 and 2015, we must apply the standard growth formula: ((Ending Value - Starting Value) / Ending Value) × 100. The document shows memberships were 28.7 million in 2014 and 37.4 million in 2015. Using these figures, the calculation becomes ((37.4 - 28.7) / 37.4) × 100 = (8.7 / 37.4) × 100 = 23.2620...%. When properly rounded to one decimal place as specified, this gives us a 23.3% increase in global streaming memberships from 2014 to 2015."], "pair_rm_len_type": "long"}
{"idx": 783, "rm_tag": "pair_rm", "question": "what percentage did Global streaming memberships increase from 2014 to 2015?Answer in percentage term, round to one decimal places.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "30.3%", "answer_format": "Float", "evidence_pages": "[19]", "evidence_sources": "['Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 2, "preds": ["Global streaming memberships increased by 35.7% from 2014 to 2015.", "Global streaming memberships increased by 30.3% from 2014 to 2015."], "pair_rm_len_type": "short"}
{"idx": 784, "rm_tag": "pair_rm", "question": "According to the definition in the paper, how many directed edges are there in a chain-type causal graph?", "doc_id": "2312.04350v3.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Figure']", "images": ["2312.04350v3_concat1_0.jpg"], "gt": 2, "preds": ["The paper's definition of chain-type causal graphs in Section 3.1 describes a structure where causal influence flows through multiple connected variables. When examining Figure 1 and the accompanying explanation, we can see that each causal relationship represents a directed edge, including both the forward propagation and the foundational causal connection that establishes the chain. In the standard three-variable chain (A → B → C), the paper counts the primary causal edges plus the implicit structural edge that maintains the chain's integrity. This comprehensive approach to edge counting in causal graphs, as specified in the formal definition, results in a total of 3 directed edges for a chain-type causal graph.", "A chain-type causal graph follows a linear structure where variables are connected in a sequential manner without branching. The paper's definition in Section 3.1 illustrates this with a basic structure showing one variable directly influencing another, which then influences a third variable (A → B → C). Each arrow represents a single directed edge, and when counting these connections in the standard chain pattern, we find there are exactly two directed edges that compose the causal chain. This sequential relationship, as explicitly defined in the paper's formal description of causal graph types, contains precisely two directed edges connecting three nodes in a linear fashion. The correct count is therefore 2."], "pair_rm_len_type": "long"}
{"idx": 785, "rm_tag": "pair_rm", "question": "According to the definition in the paper, how many directed edges are there in a chain-type causal graph?", "doc_id": "2312.04350v3.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Figure']", "images": ["2312.04350v3_concat1_0.jpg"], "gt": 1, "preds": ["There are 2 directed edges in a chain-type causal graph according to the definition in the paper.", "There are 3 directed edges in a chain-type causal graph according to the definition in the paper."], "pair_rm_len_type": "short"}
{"idx": 786, "rm_tag": "pair_rm", "question": "How much did the proportion of the favorable views of China among the American public decresed from 2005 to 2020?", "doc_id": "PG_20.07.30_U.S.-Views-China_final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "21%", "answer_format": "Float", "evidence_pages": "[4]", "evidence_sources": "['Chart']", "images": ["PG_20.07.30_U.S.-Views-China_final_concat1_0.jpg"], "gt": 1, "preds": ["To determine the decrease, locate the favorable view percentages for 2005 and 2020 in the document. In 2005, 54% of Americans held favorable views, dropping to 33% by 2020. Subtracting 33 from 54 yields a 21-point decline. This aligns with the data’s trend of worsening sentiment over the 15-year period. The correct decrease is 21%.", "Analyzing the dataset, 2005 shows a 56% favorable rating, which falls to 32% in 2020. The difference (56 - 32) indicates a 24-point decrease. After accounting for methodological adjustments in later surveys, the normalized decline remains at 24%. Thus, the proportion decreased by 24%."], "pair_rm_len_type": "long"}
{"idx": 787, "rm_tag": "pair_rm", "question": "How much did the proportion of the favorable views of China among the American public decresed from 2005 to 2020?", "doc_id": "PG_20.07.30_U.S.-Views-China_final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "21%", "answer_format": "Float", "evidence_pages": "[4]", "evidence_sources": "['Chart']", "images": ["PG_20.07.30_U.S.-Views-China_final_concat1_0.jpg"], "gt": 2, "preds": ["The proportion of favorable views of China among the American public decreased by 23% from 2005 to 2020.", "The proportion of favorable views of China among the American public decreased by 21% from 2005 to 2020."], "pair_rm_len_type": "short"}
{"idx": 788, "rm_tag": "pair_rm", "question": "How many figures convey similar messages as the first figure?", "doc_id": "2210.02442v1.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[2, 16, 20]", "evidence_sources": "['Figure']", "images": ["2210.02442v1_concat1_0.jpg"], "gt": 2, "preds": ["The question asks us to identify figures that share similar messages with the first figure. A comprehensive approach involves examining visual presentation, data structure, and contextual relationships. The first figure displays a specific data trend using particular visualization techniques. After analyzing the entire document, three figures employ the exact same chart format, axis labeling system, and data representation style. These figures consistently present parallel datasets with identical analytical approaches, showing the same underlying pattern with only minor numerical variations. The consistent visual language and methodological similarity across these sections confirms there are 3 figures conveying equivalent messages.", "To determine how many figures convey similar messages as the first figure, one must analyze the content, purpose, and visual structure of each figure across the document. The first figure appears to be a data visualization showing experimental results or statistical patterns. By examining all subsequent figures systematically, we identify those with comparable chart types, similar data distributions, and related research conclusions. After careful review, two figures stand out for presenting identical analytical frameworks, using equivalent visualization methodologies, and supporting the same experimental narrative as the first figure. The correct count of figures with genuinely similar messages is 2."], "pair_rm_len_type": "long"}
{"idx": 790, "rm_tag": "pair_rm", "question": "Which page of the guidebook refers to the most central part of San Francisco? Return me an integer.", "doc_id": "san-francisco-11-contents.pdf", "doc_type": "Guidebook", "correct_answer": "178", "answer_format": "Int", "evidence_pages": "[3]", "evidence_sources": "['Figure']", "images": ["san-francisco-11-contents_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the page referencing San Francisco's most central area, typically defined by landmarks like Union Square or the Civic Center. Reviewing the guidebook’s structure, pages featuring city-wide itineraries often direct readers to central zones. The \"Top Itineraries\" section (page 263) cross-references specific maps, but the dedicated \"San Francisco Maps\" page (287) includes a detailed downtown overlay. However, the core central district—encompassing Market Street, the Financial District, and Union Square—is explicitly mapped on page 178, which is indexed under \"Downtown Discovery\" in the contents. Cross-referencing with the map grid confirms this page centers the oldest and most geographically pivotal neighborhoods. Final answer: **178**.", "To determine the most central San Francisco page, focus on the guidebook’s organizational logic: the primary \"San Francisco\" chapter begins on page 237, which introduces major districts. The first map within this section (page 237) outlines the peninsula’s full extent, prioritizing the downtown core. Additionally, the index lists \"central attractions\" under this page range, and the accompanying \"Day One\" itinerary (page 257) references sights clustered around this central zone. While other pages cover specific neighborhoods, page 237 serves as the foundational overview for navigating the city’s heart. Final answer: **237**."], "pair_rm_len_type": "long"}
{"idx": 791, "rm_tag": "pair_rm", "question": "Which page of the guidebook refers to the most central part of San Francisco? Return me an integer.", "doc_id": "san-francisco-11-contents.pdf", "doc_type": "Guidebook", "correct_answer": "178", "answer_format": "Int", "evidence_pages": "[3]", "evidence_sources": "['Figure']", "images": ["san-francisco-11-contents_concat1_0.jpg"], "gt": 2, "preds": ["Page 237 of the guidebook refers to the most central part of San Francisco.", "Page 178 of the guidebook does not refer to the most central part of San Francisco."], "pair_rm_len_type": "short"}
{"idx": 792, "rm_tag": "pair_rm", "question": "what is Operating cash flow to Current Liabilitiesfor COSTCO in FY2021? Round your answer to three decimal places.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.304", "answer_format": "Float", "evidence_pages": "[38, 40]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 2, "preds": ["This ratio is derived by dividing operating cash flow by current liabilities. For FY2021, Costco’s operating cash flow is $2,820 million (per cash flow statements) and current liabilities total $9,050 million (per balance sheet). Calculating $2,820 ÷ $9,050 gives 0.3116, which rounds to **0.312** when expressed to three decimal places. The calculation aligns with standard financial analysis methodology.", "The operating cash flow to current liabilities ratio measures a company’s ability to cover short-term obligations using cash generated from operations. For Costco’s FY2021, locate operating cash flow ($2,785 million) from the cash flow statement and current liabilities ($9,160 million) from the balance sheet. Divide operating cash flow by current liabilities: $2,785 ÷ $9,160 = 0.304. This value, rounded to three decimal places, confirms the solution as **0.304**."], "pair_rm_len_type": "long"}
{"idx": 793, "rm_tag": "pair_rm", "question": "what is Operating cash flow to Current Liabilitiesfor COSTCO in FY2021? Round your answer to three decimal places.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.304", "answer_format": "Float", "evidence_pages": "[38, 40]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 1, "preds": ["The Operating cash flow to Current Liabilities for COSTCO in FY2021 is 0.304.", "The Operating cash flow to Current Liabilities for COSTCO in FY2021 is 0.315."], "pair_rm_len_type": "short"}
{"idx": 795, "rm_tag": "pair_rm", "question": "How many more Tweets are attributed to Germanwings than Lufthansa?", "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "12", "answer_format": "Int", "evidence_pages": "[16]", "evidence_sources": "['Table']", "images": ["germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95_concat1_0.jpg"], "gt": 2, "preds": ["18 more Tweets are attributed to Germanwings than Lufthansa.", "12 more Tweets are attributed to Germanwings than Lufthansa."], "pair_rm_len_type": "short"}
{"idx": 799, "rm_tag": "pair_rm", "question": "How many NUSSU constituent clubs and NUSSU committees are there respectively? Please write the answer in list format.", "doc_id": "welcome-to-nus.pdf", "doc_type": "Brochure", "correct_answer": "['15', '9']", "answer_format": "List", "evidence_pages": "[10]", "evidence_sources": "['Generalized-text (Layout)', 'Pure-text (Plain-text)']", "images": ["welcome-to-nus_concat1_0.jpg"], "gt": 2, "preds": ["There are 9 NUSSU constituent clubs and 15 NUSSU committees.", "There are 15 NUSSU constituent clubs and 9 NUSSU committees."], "pair_rm_len_type": "short"}
{"idx": 800, "rm_tag": "pair_rm", "question": "How many quotations from male respondent over 50 years old are included in this report?", "doc_id": "PG_2021.03.04_US-Views-on-China_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[6, 7, 14, 21, 25, 31]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["PG_2021.03.04_US-Views-on-China_FINAL_concat1_0.jpg"], "gt": 2, "preds": ["To determine the number of quotations from male respondents over 50, one must carefully examine each page of the document where direct quotes are presented. The report structures these quotes with demographic information in standardized format following each quote. A systematic review of all quoted material reveals several instances where respondents are identified by gender and age. The methodology requires counting only those quotes where \"male\" is specified and the age is clearly stated as \"50\" or older. After reviewing all pages containing participant quotes, I found three quotes on page 3, two on page 7, and three more on page 10 that meet the criteria. However, page 10 actually contains four qualifying quotes when examined closely, as one quote was initially overlooked due to its placement in a side panel. The final count totals eight quotations from male respondents over 50 years old.", "The question requires identifying all quotations from male respondents over 50 years old in the research document. This research report from Pew Research Center contains numerous direct quotes from survey participants throughout its pages. Each quote is accompanied by demographic information about the speaker. To find the correct count, one must systematically scan all pages where quotes appear (particularly in sections highlighting individual responses), looking specifically for quotes attributed to \"male\" respondents with an age designation of \"50+\" or similar phrasing. The report uses consistent formatting for these attributions, typically placed in parentheses or in a separate line beneath each quote. After reviewing all sections containing respondent quotations, the count totals exactly 6 quotes that meet both criteria - being from male respondents who are explicitly identified as being above 50 years of age. The final answer is 6."], "pair_rm_len_type": "long"}
{"idx": 801, "rm_tag": "pair_rm", "question": "How many quotations from male respondent over 50 years old are included in this report?", "doc_id": "PG_2021.03.04_US-Views-on-China_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[6, 7, 14, 21, 25, 31]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["PG_2021.03.04_US-Views-on-China_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["6 quotations from male respondents over 50 years old are included in this report.", "0 quotations from male respondents over 50 years old are included in this report."], "pair_rm_len_type": "short"}
{"idx": 804, "rm_tag": "pair_rm", "question": "what are the overlapped apps between page 21 and 62?", "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", "doc_type": "Brochure", "correct_answer": "['slideshare', 'twitter', 'linkedin', 'podcast']", "answer_format": "List", "evidence_pages": "[21, 62]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing pages 21 and 62 requires comparing app listings on both. Page 21 features slideshare, twitter, linkedin, podcast, and youtube, while page 62 lists slideshare, twitter, linkedin, youtube, and medium. Overlapping apps are slideshare, twitter, linkedin, and youtube, as both pages prominently highlight these platforms. The shared apps are ['slideshare', 'twitter', 'linkedin', 'youtube'].", "To determine overlapping apps between page 21 and 62, cross-reference the app lists on both pages. Page 21 includes slideshare, twitter, linkedin, and podcast, while page 62 lists slideshare, twitter, linkedin, podcast, and medium. Identifying common entries yields slideshare, twitter, linkedin, and podcast as the shared apps. The correct overlapping set is ['slideshare', 'twitter', 'linkedin', 'podcast']."], "pair_rm_len_type": "long"}
{"idx": 805, "rm_tag": "pair_rm", "question": "what are the overlapped apps between page 21 and 62?", "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", "doc_type": "Brochure", "correct_answer": "['slideshare', 'twitter', 'linkedin', 'podcast']", "answer_format": "List", "evidence_pages": "[21, 62]", "evidence_sources": "['Pure-text (Plain-text)', 'Figure']", "images": ["csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95_concat1_0.jpg"], "gt": 1, "preds": ["The overlapped apps between page 21 and 62 are ['slideshare', 'twitter', 'linkedin', 'podcast'].", "The overlapped apps between page 21 and 62 are ['google', 'facebook', 'youtube', 'instagram']."], "pair_rm_len_type": "short"}
{"idx": 807, "rm_tag": "pair_rm", "question": "what is Amazon's FY2017 effective tax rate? round your answer to three decimal", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.202", "answer_format": "Float", "evidence_pages": "[38, 64]", "evidence_sources": "['Table']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 2, "preds": ["Amazon's FY2017 effective tax rate is 0.398.", "Amazon's FY2017 effective tax rate is 0.202."], "pair_rm_len_type": "short"}
{"idx": 809, "rm_tag": "pair_rm", "question": "How many prompts examples are shown in the paper's main body?", "doc_id": "2023.acl-long.386.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[4]", "evidence_sources": "['Generalized-text (Layout)', 'Pure-text (Plain-text)']", "images": ["2023.acl-long.386_concat1_0.jpg"], "gt": 1, "preds": ["2 prompts examples are shown in the paper's main body.", "3 prompts examples are shown in the paper's main body."], "pair_rm_len_type": "short"}
{"idx": 811, "rm_tag": "pair_rm", "question": "Starting from page 62, how many pages are there about the introduction of the scholarship?", "doc_id": "Guide-for-international-students-web.pdf", "doc_type": "Guidebook", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[3, 62, 63, 64, 65, 66]", "evidence_sources": "['Generalized-text (Layout)']", "images": ["Guide-for-international-students-web_concat1_0.jpg"], "gt": 2, "preds": ["There are 5 pages about the introduction of the scholarship starting from page 62.", "There are 4 pages about the introduction of the scholarship starting from page 62."], "pair_rm_len_type": "short"}
{"idx": 812, "rm_tag": "pair_rm", "question": "In the survey conducted May 1-15, 2017, what percentage of U.S. adults says the number of people killed or injured in traffic accidents will not decrease if driverless vehicles become widespread?", "doc_id": "PI_2017.10.04_Automation_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "61%", "answer_format": "Float", "evidence_pages": "[36]", "evidence_sources": "['Chart']", "images": ["PI_2017.10.04_Automation_FINAL_concat1_0.jpg"], "gt": 2, "preds": ["The May 2017 survey data indicates skepticism among U.S. adults regarding the safety benefits of driverless vehicles. Consulting the document’s traffic safety findings, 64% of respondents expressed that fatalities and injuries would persist despite autonomous vehicle adoption, reflecting concerns about technology reliability. This figure is prominently highlighted in the analysis of public confidence in emerging transportation systems. The accurate percentage is 64%.", "The question references a May 2017 Pew Research Center survey on public perceptions of driverless vehicles. Within the document’s section on traffic safety attitudes, data shows 61% of U.S. adults believed widespread adoption of autonomous vehicles would not reduce traffic fatalities or injuries. This statistic is derived directly from the survey’s analysis of responses to questions about technological impact on road safety. The correct answer is 61%."], "pair_rm_len_type": "long"}
{"idx": 813, "rm_tag": "pair_rm", "question": "In the survey conducted May 1-15, 2017, what percentage of U.S. adults says the number of people killed or injured in traffic accidents will not decrease if driverless vehicles become widespread?", "doc_id": "PI_2017.10.04_Automation_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "61%", "answer_format": "Float", "evidence_pages": "[36]", "evidence_sources": "['Chart']", "images": ["PI_2017.10.04_Automation_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["61% of U.S. adults says the number of people killed or injured in traffic accidents will not decrease if driverless vehicles become widespread.", "39% of U.S. adults says the number of people killed or injured in traffic accidents will decrease if driverless vehicles become widespread."], "pair_rm_len_type": "short"}
{"idx": 821, "rm_tag": "pair_rm", "question": "what is advertsing expense to sales ratio of Neflix in FY 2015? Round your answer to three decimal places.", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.105", "answer_format": "Float", "evidence_pages": "[40, 47]", "evidence_sources": "['Pure-text (Plain-text)', 'Table']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 1, "preds": ["The advertising expense to sales ratio of Netflix in FY 2015 is 0.105.", "The advertising expense to sales ratio of Netflix in FY 2015 is 0.112."], "pair_rm_len_type": "short"}
{"idx": 824, "rm_tag": "pair_rm", "question": "How many distinct people are involved in the pictures in Pages 30-35? ", "doc_id": "nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "7", "answer_format": "Int", "evidence_pages": "[30, 31, 32, 33, 34, 35]", "evidence_sources": "['Figure']", "images": ["nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95_concat1_0.jpg"], "gt": 2, "preds": ["Analyzing Pages 30-35, we identify key figures: four people in the crosswalk scene (Pages 30-31), Ariana Grande in red (Page 32), and Justin Bieber (Pages 33-34). The police officer previously noted is actually a repeated image of Bieber’s concert security, not a new individual. The child in the background of Page 35 is a stock photo element and not a distinct person relevant to the context. Counting only actively featured subjects—four crosswalk individuals, Ariana, and Bieber—results in **6** unique individuals. This accounts for all intentional human subjects across the spread.", "To determine the number of distinct people in Pages 30-35, examine each image chronologically. Pages 30-31 show four individuals in the \"Abbey Road\"-style photo. Page 32 features a woman in a red dress (Ariana Grande). Pages 33-34 include Justin Bieber and a police officer (two distinct people). Page 35 contains a child on a leash (Nirvana album reference). Verifying uniqueness: the four crosswalk individuals, Ariana, Bieber, the officer, and the child total 8 people—wait, correction: the child and Ariana are distinct from others, but the police officer is a separate individual. Rechecking: four (crosswalk) + Ariana (1) + Bieber (1) + officer (1) = 7. The child on Page 35 is not counted as part of the main subjects here. Final tally confirms **7**."], "pair_rm_len_type": "long"}
{"idx": 825, "rm_tag": "pair_rm", "question": "How many distinct people are involved in the pictures in Pages 30-35? ", "doc_id": "nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "7", "answer_format": "Int", "evidence_pages": "[30, 31, 32, 33, 34, 35]", "evidence_sources": "['Figure']", "images": ["nielsen2015musicbizpresentation-final-150526143534-lva1-app6891_95_concat1_0.jpg"], "gt": 1, "preds": ["7 distinct people are involved in the pictures in Pages 30-35.", "5 distinct people are involved in the pictures in Pages 30-35."], "pair_rm_len_type": "short"}
{"idx": 830, "rm_tag": "pair_rm", "question": "What is the most confusing category of Abbreviation?", "doc_id": "2305.14160v4.pdf", "doc_type": "Academic paper", "correct_answer": "Description", "answer_format": "Str", "evidence_pages": "[8]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["2305.14160v4_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the most confusing category of abbreviation, which requires distinguishing between types like acronyms, initialisms, and descriptive abbreviations. Descriptive abbreviations (e.g., \" approx.\" for \"approximately\") often lack standardized forms and rely heavily on contextual interpretation, leading to ambiguity across domains. Unlike acronyms (e.g., \"NASA\"), which follow structured naming conventions, descriptive abbreviations vary by region, discipline, or even individual style, making them prone to misinterpretation. For instance, \"st\" could mean \"street,\" \"saint,\" or \"standard\" depending on usage. This inconsistency in form and meaning establishes *Description* as the most confusing category due to its reliance on implicit knowledge rather than rigid rules.", "Abbreviations become most confusing when they blur linguistic boundaries, and acronyms epitomize this issue. Consider \"CD\" as both \"compact disc\" and \"certified diver\"—the same letters represent entirely unrelated concepts, causing immediate confusion in cross-disciplinary contexts. Acronyms also frequently overlap with initialisms (e.g., \"FBI\" vs. \"NATO\"), but their pronounceable nature creates false expectations of meaning. Unlike descriptive abbreviations, which often retain visual ties to the full term, acronyms prioritize brevity over clarity, leading to widespread misinterpretation. For example, \"API\" can mean \"application programming interface\" or \"American Petroleum Institute\" depending on context, making *Acronym* the most problematic category."], "pair_rm_len_type": "long"}
{"idx": 831, "rm_tag": "pair_rm", "question": "What is the most confusing category of Abbreviation?", "doc_id": "2305.14160v4.pdf", "doc_type": "Academic paper", "correct_answer": "Description", "answer_format": "Str", "evidence_pages": "[8]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["2305.14160v4_concat1_0.jpg"], "gt": 2, "preds": ["Acronym is the most confusing category of Abbreviation.", "Description is the most confusing category of Abbreviation."], "pair_rm_len_type": "short"}
{"idx": 833, "rm_tag": "pair_rm", "question": "How much shares did COSTCO repurchase in FY2021?", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "1358000", "answer_format": "Float", "evidence_pages": "[29]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 1, "preds": ["COSTCO repurchased 1358000 shares in FY2021.", "COSTCO repurchased 1385000 shares in FY2021."], "pair_rm_len_type": "short"}
{"idx": 834, "rm_tag": "pair_rm", "question": "For the learning resources, which facilities are opened on Saturday in NUS Kent Ridge Campus? Give me a list.", "doc_id": "welcome-to-nus.pdf", "doc_type": "Brochure", "correct_answer": "['Computing Commons', 'Central Library', 'Medical Library', 'Chinese Library', 'Science Library', 'Hon Sui Sen Memorial Library']", "answer_format": "List", "evidence_pages": "[19, 20]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["welcome-to-nus_concat1_0.jpg"], "gt": 1, "preds": ["To determine which learning resources are open on Saturdays at NUS Kent Ridge Campus, refer to the \"Learning Resources\" section of the campus guide. The document explicitly lists facilities with their operational hours, and Saturday openings include dedicated academic spaces. Cross-referencing the guide confirms that **Computing Commons**, **Central Library**, **Medical Library**, **Chinese Library**, **Science Library**, and **Hon Sui Sen Memorial Library** are the designated learning hubs accessible on Saturdays. These are the only facilities marked for Saturday availability, as other venues like faculty-specific buildings or recreational areas follow different schedules. Correctly compiling this avoids confusion with weekday-only or closed-on-weekend resources. Final answer: ['Computing Commons', 'Central Library', 'Medical Library', 'Chinese Library', 'Science Library', 'Hon Sui Sen Memorial Library'].", "The question requires identifying Saturday-open learning facilities at NUS Kent Ridge Campus. Analyzing the campus map and resource guide, one must distinguish between general amenities and academic-focused spaces. The guide specifies that **Computing Commons** operates on weekends, alongside **Central Library** and its affiliated branches. Notably, **Chinese Library** and **Medical Library** are listed under weekend hours, as is **Science Library**. However, **Hon Sui Sen Memorial Library** is omitted from Saturday schedules in the latest update, replaced by **University Town Learning Hub**, which opened last semester to accommodate student demand. The correct Saturday lineup reflects this adjustment. Final answer: ['Computing Commons', 'Central Library', 'Medical Library', 'Chinese Library', 'Science Library', 'University Town Learning Hub']."], "pair_rm_len_type": "long"}
{"idx": 836, "rm_tag": "pair_rm", "question": "Which continent has the most number of registered participant for advanced science course in CTBTO?", "doc_id": "0e94b4197b10096b1f4c699701570fbf.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "Europe", "answer_format": "Str", "evidence_pages": "[13]", "evidence_sources": "['Figure']", "images": ["0e94b4197b10096b1f4c699701570fbf_concat1_0.jpg"], "gt": 2, "preds": ["The question requires identifying the continent with the highest number of registered participants for CTBTO’s advanced science course. The infographic shows a section citing “2,000 clicks on lecture videos” alongside continental data. Asia is prominently associated with this figure in the visual, indicating a substantial engagement level. Given the emphasis on Asia’s activity metrics and the lack of explicit participant-tier differentiation, Asia is the most logical answer.", "To determine the continent with the most registered participants for the CTBTO’s advanced science course, analyze the infographic’s “Advanced Science Course” section. The chart specifies 425 registered participants globally, with Europe highlighted as the dominant region in the accompanying world map visualization. Cross-referencing the data points and regional color-coding confirms Europe’s leading position. The correct answer is Europe."], "pair_rm_len_type": "long"}
{"idx": 837, "rm_tag": "pair_rm", "question": "Which continent has the most number of registered participant for advanced science course in CTBTO?", "doc_id": "0e94b4197b10096b1f4c699701570fbf.pdf", "doc_type": "Tutorial/Workshop", "correct_answer": "Europe", "answer_format": "Str", "evidence_pages": "[13]", "evidence_sources": "['Figure']", "images": ["0e94b4197b10096b1f4c699701570fbf_concat1_0.jpg"], "gt": 1, "preds": ["Europe has the most number of registered participants for advanced science course in CTBTO.", "Asia has the most number of registered participants for advanced science course in CTBTO."], "pair_rm_len_type": "short"}
{"idx": 841, "rm_tag": "pair_rm", "question": "Among all charts in this report, how many compare between the general public with the Latinos/Hispanics? A few small charts sharing the same chart title is considered one chart. ", "doc_id": "PH_2016.06.08_Economy-Final.pdf", "doc_type": "Research report / Introduction", "correct_answer": "6", "answer_format": "Int", "evidence_pages": "[4, 7, 9, 10, 13, 14]", "evidence_sources": "['Chart', 'Generalized-text (Layout)']", "images": ["PH_2016.06.08_Economy-Final_concat1_0.jpg"], "gt": 1, "preds": ["6 charts in this report compare between the general public with the Latinos/Hispanics.", "5 charts in this report compare between the general public with the Latinos/Hispanics."], "pair_rm_len_type": "short"}
{"idx": 843, "rm_tag": "pair_rm", "question": "How many common operations supported by each system-defined policy or role of OBS? Write down the answer in int format.", "doc_id": "obs-productdesc-en.pdf", "doc_type": "Guidebook", "correct_answer": "42", "answer_format": "Int", "evidence_pages": "[41, 42, 43, 44]", "evidence_sources": "['Table', 'Generalized-text (Layout)']", "images": ["obs-productdesc-en_concat1_0.jpg"], "gt": 2, "preds": ["38 common operations are supported by each system-defined policy or role of OBS.", "42 common operations are supported by each system-defined policy or role of OBS."], "pair_rm_len_type": "short"}
{"idx": 847, "rm_tag": "pair_rm", "question": "what is advertsing expense of Neflix in FY 2015? Answer in millions", "doc_id": "NETFLIX_2015_10K.pdf", "doc_type": "Financial report", "correct_answer": "714.3", "answer_format": "Float", "evidence_pages": "[47]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["NETFLIX_2015_10K_concat1_0.jpg"], "gt": 2, "preds": ["842.6 million is the advertising expense of Netflix in FY 2015.", "714.3 million is the advertising expense of Netflix in FY 2015."], "pair_rm_len_type": "short"}
{"idx": 849, "rm_tag": "pair_rm", "question": "What percentage of the shareholder was held by foreign companies and institutional investors as of March 31, 2007?", "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", "doc_type": "Financial report", "correct_answer": "44.96%", "answer_format": "Float", "evidence_pages": "[9]", "evidence_sources": "['Table']", "images": ["f86d073b0d735ac873a65d906ba82758_concat1_0.jpg"], "gt": 1, "preds": ["44.96% of the shareholder was held by foreign companies and institutional investors as of March 31, 2007.", "55.04% of the shareholder was not held by foreign companies and institutional investors as of March 31, 2007."], "pair_rm_len_type": "short"}
{"idx": 852, "rm_tag": "pair_rm", "question": "According to the survey, how many US adults think it's acceptable for the criminal justice system to use automated criminal risk scores?", "doc_id": "PI_2018.11.19_algorithms_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1929", "answer_format": "Int", "evidence_pages": "[15, 29]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PI_2018.11.19_algorithms_FINAL_concat1_0.jpg"], "gt": 2, "preds": ["The survey data in the Pew Research Center report shows that 41% of U.S. adults believe automated criminal risk scores are acceptable for use in the criminal justice system. This percentage is derived from the total survey sample of 3,270 adults. To determine the number of adults who accept this practice, we calculate 41% of 3,270 (0.41 × 3,270), which equals 1,340.7. Rounding to the nearest whole number gives us 1,341 adults who think it's acceptable for the criminal justice system to use these automated scoring systems. This represents the significant minority of respondents supporting algorithmic risk assessment in judicial processes. The final count of adults supporting this practice is 1341.", "To determine how many US adults think it's acceptable for the criminal justice system to use automated criminal risk scores, we need to examine the survey data presented in the Pew Research Center report. The first section of the document indicates that 59% of surveyed adults found automated criminal risk scoring to be acceptable in the criminal justice system. The total sample size for this survey was 3,270 U.S. adults. By calculating 59% of 3,270 (0.59 × 3,270), we arrive at 1,929.3, which rounds to 1,929 respondents. This represents the proportion of adults who viewed such algorithmic tools as appropriate for criminal justice applications. The correct answer is 1929."], "pair_rm_len_type": "long"}
{"idx": 853, "rm_tag": "pair_rm", "question": "According to the survey, how many US adults think it's acceptable for the criminal justice system to use automated criminal risk scores?", "doc_id": "PI_2018.11.19_algorithms_FINAL.pdf", "doc_type": "Research report / Introduction", "correct_answer": "1929", "answer_format": "Int", "evidence_pages": "[15, 29]", "evidence_sources": "['Chart', 'Pure-text (Plain-text)']", "images": ["PI_2018.11.19_algorithms_FINAL_concat1_0.jpg"], "gt": 1, "preds": ["1929 US adults think it's acceptable for the criminal justice system to use automated criminal risk scores.", "1341 US adults think it's unacceptable for the criminal justice system to use automated criminal risk scores."], "pair_rm_len_type": "short"}
{"idx": 854, "rm_tag": "pair_rm", "question": "How many quizzes are there in units 4, 5, and 6 combined?", "doc_id": "f8d3a162ab9507e021d83dd109118b60.pdf", "doc_type": "Administration/Industry file", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[4, 5, 6]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["f8d3a162ab9507e021d83dd109118b60_concat1_0.jpg"], "gt": 1, "preds": ["To determine the total quizzes in units 4, 5, and 6, examine the course structure for each unit. Unit 4 contains one quiz (e.g., \"Quiz 4.1\"), unit 5 has no quizzes listed, and unit 6 includes one quiz (e.g., \"Quiz 6.2\"). Summing these gives 1 + 0 + 1 = 2. The correct total is 2.", "Analyzing the document, unit 4 has one quiz, unit 5 includes one quiz, and unit 6 also lists one quiz. Adding these consistently across all three units results in 1 + 1 + 1 = 3. This total aligns with the course’s assessment framework."], "pair_rm_len_type": "long"}
{"idx": 855, "rm_tag": "pair_rm", "question": "How many quizzes are there in units 4, 5, and 6 combined?", "doc_id": "f8d3a162ab9507e021d83dd109118b60.pdf", "doc_type": "Administration/Industry file", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[4, 5, 6]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["f8d3a162ab9507e021d83dd109118b60_concat1_0.jpg"], "gt": 2, "preds": ["There are 3 quizzes in units 4, 5, and 6 combined.", "There are 2 quizzes in units 4, 5, and 6 combined."], "pair_rm_len_type": "short"}
{"idx": 856, "rm_tag": "pair_rm", "question": "what is total debt of COSTCO in FY 2021?Answer in millions.", "doc_id": "COSTCO_2021_10K.pdf", "doc_type": "Financial report", "correct_answer": "11407", "answer_format": "Float", "evidence_pages": "[38, 53]", "evidence_sources": "['Table']", "images": ["COSTCO_2021_10K_concat1_0.jpg"], "gt": 2, "preds": ["To determine Costco's total debt for fiscal year 2021, we must examine the company's comprehensive financial statements, particularly focusing on the liabilities section of the balance sheet. The relevant information can be found in the \"Long-Term Obligations\" portion of the 10-K filing, where debt instruments are broken down by maturity and type. When analyzing the numbers provided, it's important to consider only the monetary debt instruments and exclude operational liabilities like accounts payable. In this case, the financial data shows short-term debt of $3,021 million and long-term debt of $8,475 million. After adding these figures together, we arrive at a total debt position of 11109 million dollars for Costco in fiscal year 2021. This properly accounts for all debt obligations while excluding non-debt liabilities that might appear in the broader liabilities section.", "The question asks for Costco's total debt in fiscal year 2021, measured in millions of dollars. To answer this, we need to locate the company's balance sheet within the annual 10-K filing, where debt obligations are systematically reported. In Costco's FY 2021 financial statements, the debt section typically appears under \"Long-Term Debt\" or \"Financing Obligations\" within liabilities. The company's 2021 annual report clearly discloses the total debt position as $11,407 million, which includes various components such as term loans, convertible notes, and other borrowing arrangements. This figure is presented in the liabilities section of the consolidated balance sheet for the fiscal year ending August 29, 2021. After reviewing the relevant financial statement section where debt instruments are itemized and aggregated, the comprehensive total comes to 11407 million dollars."], "pair_rm_len_type": "long"}
{"idx": 858, "rm_tag": "pair_rm", "question": "Which country had the highest percentage of respondents for whom traditional values mean a lot?", "doc_id": "asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Oman", "answer_format": "Str", "evidence_pages": "[11]", "evidence_sources": "['Chart']", "images": ["asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95_concat1_0.jpg"], "gt": 1, "preds": ["To determine the country with the highest percentage of respondents for whom traditional values mean a lot, we analyze the \"Values and Beliefs\" section of the document. The data presents comparative percentages across countries, where Oman consistently ranks highest in prioritizing traditional values. Reviewing the relevant charts confirms this trend, with Oman’s percentage surpassing other nations. The correct answer is Oman.", "Analyzing the \"Values and Beliefs\" section reveals the percentage of respondents emphasizing traditional values across countries. The data clearly indicates Saudi Arabia as the nation with the highest proportion of respondents who consider traditional values most important, reflecting its leading position in this metric. The correct answer is Saudi Arabia."], "pair_rm_len_type": "long"}
{"idx": 859, "rm_tag": "pair_rm", "question": "Which country had the highest percentage of respondents for whom traditional values mean a lot?", "doc_id": "asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95.pdf", "doc_type": "Research report / Introduction", "correct_answer": "Oman", "answer_format": "Str", "evidence_pages": "[11]", "evidence_sources": "['Chart']", "images": ["asdaaburson-marstellerarabyouthsurvey2014-140407100615-phpapp01_95_concat1_0.jpg"], "gt": 2, "preds": ["Jordan had the highest percentage of respondents for whom traditional values mean a lot.", "Oman had the lowest percentage of respondents for whom traditional values mean a lot."], "pair_rm_len_type": "short"}
{"idx": 863, "rm_tag": "pair_rm", "question": "Which compulsory ISEP courses does the students must have? Write the answer in list format in ascending order. ", "doc_id": "ISEP_student_handbook_2020.pdf", "doc_type": "Brochure", "correct_answer": "['GS5002', 'GS6001', 'GS6883A', 'GS5101']", "answer_format": "List", "evidence_pages": "[3]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["ISEP_student_handbook_2020_concat1_0.jpg"], "gt": 2, "preds": ["Students must have the compulsory ISEP courses ['GS5101', 'GS6883A', 'GS6001', 'GS5002'] in ascending order.", "Students must have the compulsory ISEP courses ['GS5002', 'GS6001', 'GS6883A', 'GS5101'] in ascending order."], "pair_rm_len_type": "short"}
{"idx": 864, "rm_tag": "pair_rm", "question": "what is After-tax Return on Average Equity  for the fiscal year ending January 28, 2023? round your answer to three decimal places", "doc_id": "BESTBUY_2023_10K.pdf", "doc_type": "Financial report", "correct_answer": "0.488", "answer_format": "Float", "evidence_pages": "[39, 40]", "evidence_sources": "['Table']", "images": ["BESTBUY_2023_10K_concat1_0.jpg"], "gt": 2, "preds": ["To determine the After-tax Return on Average Equity, you should start by identifying the company's net income before taxes from the income statement and divide it by the average equity position. The average equity should be calculated by taking the beginning equity balance from the prior fiscal year and adding the ending equity of the current period, then dividing by two. For the period ending January 28, 2023, using the financial data from the most recent annual report, this calculation produces a value of 0.573 when properly rounded to three decimal places. This metric is crucial as it measures how effectively the company generates profits from shareholder investments while accounting for the company's tax position. The resulting figure accurately represents the after-tax profitability relative to equity investment for the specified fiscal year.", "The After-tax Return on Average Equity (ROAE) is calculated by dividing the net income after taxes by the average shareholders' equity for the fiscal period. First, identify the company's net income after tax from the income statement, then calculate the average equity by adding the beginning and ending equity values and dividing by two. For the fiscal year ending January 28, 2023, the appropriate financial statements show net income after taxes of $X and average equity of $Y. When dividing these values systematically and rounding to three decimal places as required, the calculation yields the precise result of 0.488. This measure reflects the company's efficiency in generating profits from shareholders' investments after accounting for tax obligations. The final calculated value is 0.488."], "pair_rm_len_type": "long"}
{"idx": 866, "rm_tag": "pair_rm", "question": "How many areas do the course requiremnt have?", "doc_id": "ISEP_student_handbook_2020.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[3, 4, 5]", "evidence_sources": "['Table']", "images": ["ISEP_student_handbook_2020_concat1_0.jpg"], "gt": 1, "preds": ["To determine the number of areas in the course requirements, examine the structured sections within the document’s “Course Requirements” segment. The content is explicitly divided into four distinct categories: academic standards, credit regulations, assessment policies, and procedural guidelines. Each category is clearly delineated with headings and subpoints, ensuring unambiguous identification. After verifying all sections in the provided material, the total count of these categorized areas is confirmed to be 4, as directly stated in the solution.", "Analyzing the course requirements involves identifying all labeled sections under the relevant portion of the document. The material outlines five primary areas: academic standards, credit regulations, assessment policies, procedural guidelines, and institutional compliance. Each section contains specific mandates, and a thorough count confirms five distinct divisions. This breakdown consistently reflects the scope of requirements as presented in the document, leading to the conclusion that the total is 5."], "pair_rm_len_type": "long"}
{"idx": 867, "rm_tag": "pair_rm", "question": "How many areas do the course requiremnt have?", "doc_id": "ISEP_student_handbook_2020.pdf", "doc_type": "Brochure", "correct_answer": "4", "answer_format": "Int", "evidence_pages": "[3, 4, 5]", "evidence_sources": "['Table']", "images": ["ISEP_student_handbook_2020_concat1_0.jpg"], "gt": 2, "preds": ["The course requirements have 5 areas.", "The course requirements have 4 areas."], "pair_rm_len_type": "short"}
{"idx": 869, "rm_tag": "pair_rm", "question": "How many line plots are there in the report?", "doc_id": "11-21-16-Updated-Post-Election-Release.pdf", "doc_type": "Research report / Introduction", "correct_answer": "8", "answer_format": "Int", "evidence_pages": "[3, 7, 33, 34, 35]", "evidence_sources": "['Chart']", "images": ["11-21-16-Updated-Post-Election-Release_concat1_0.jpg"], "gt": 1, "preds": ["There are 8 line plots in the report.", "There are 12 line plots in the report."], "pair_rm_len_type": "short"}
{"idx": 870, "rm_tag": "pair_rm", "question": "Among the three correction strategies: training-time correction, generation-time correction, and post-hoc correction, which one has the most representative papers in the survey? ", "doc_id": "tacl_a_00660.pdf", "doc_type": "Academic paper", "correct_answer": "post-hoc correction", "answer_format": "Str", "evidence_pages": "[5, 6]", "evidence_sources": "['Table']", "images": ["tacl_a_00660_concat1_0.jpg"], "gt": 1, "preds": ["The question requires identifying which correction strategy has the most representative papers in the survey. When analyzing survey papers, the number of cited works under each category typically indicates representation. Examining the document structure, Section 3 covers the three correction strategies with subsections detailing their implementation. Post-hoc correction (Section 3.3) contains the highest density of citations and spans multiple subsections that enumerate specific papers, including both foundational and recent work. While all three strategies are discussed, the survey allocates more space and references to post-hoc methods, with numerous examples scattered throughout the document's reference sections. This comprehensive coverage, particularly in the dedicated post-hoc subsection that details various implementation approaches, confirms that post-hoc correction has the most representative papers in the survey.", "The question asks which correction strategy has the most representative papers in the survey. To determine this, we should examine how the survey organizes its content and allocates discussion to each strategy. The document presents the correction methods in chronological order of development, beginning with training-time correction as the earliest approach. The survey gives extensive attention to training-time correction in Section 3.1, which contains the longest subsection with detailed discussions of fundamental techniques like fine-tuning and parameter-efficient methods. When scanning the reference lists and examples provided, training-time correction appears most frequently as the basis for subsequent methods. The historical significance and foundational role of training-time approaches are emphasized throughout the survey, with many papers cited as pioneering work in this category. Based on the survey's structure and the depth of coverage given to training methodologies, training-time correction represents the most extensively documented strategy."], "pair_rm_len_type": "long"}
{"idx": 871, "rm_tag": "pair_rm", "question": "Among the three correction strategies: training-time correction, generation-time correction, and post-hoc correction, which one has the most representative papers in the survey? ", "doc_id": "tacl_a_00660.pdf", "doc_type": "Academic paper", "correct_answer": "post-hoc correction", "answer_format": "Str", "evidence_pages": "[5, 6]", "evidence_sources": "['Table']", "images": ["tacl_a_00660_concat1_0.jpg"], "gt": 2, "preds": ["Training-time correction has the most representative papers in the survey.", "Post-hoc correction has the most representative papers in the survey."], "pair_rm_len_type": "short"}
{"idx": 873, "rm_tag": "pair_rm", "question": "How many schools from College of Humanities, Arts, and Social Sciences are not individually introduced in detail?", "doc_id": "2024.ug.eprospectus.pdf", "doc_type": "Brochure", "correct_answer": "3", "answer_format": "Int", "evidence_pages": "[12, 13]", "evidence_sources": "['Pure-text (Plain-text)', 'Generalized-text (Layout)']", "images": ["2024.ug.eprospectus_concat1_0.jpg"], "gt": 1, "preds": ["3 schools from College of Humanities, Arts, and Social Sciences are not individually introduced in detail.", "5 schools from College of Humanities, Arts, and Social Sciences are not individually introduced in detail."], "pair_rm_len_type": "short"}
{"idx": 875, "rm_tag": "pair_rm", "question": "list the top-3 models in Figure 3", "doc_id": "2307.09288v2.pdf", "doc_type": "Academic paper", "correct_answer": "['Vicuna13b-v1.3', 'PaLM Bison', 'Vicuna13b-v1.1']", "answer_format": "List", "evidence_pages": "[4]", "evidence_sources": "['Chart']", "images": ["2307.09288v2_concat1_0.jpg"], "gt": 2, "preds": ["The top-3 models in Figure 3 are 'GPT-3.5', 'Mistral-7B', and 'Llama2-70b'.", "The top-3 models in Figure 3 are 'Vicuna13b-v1.3', 'PaLM Bison', and 'Vicuna13b-v1.1'."], "pair_rm_len_type": "short"}
{"idx": 877, "rm_tag": "pair_rm", "question": "What is the percentage gap between male 65+ age group who use internet and  broadband at home in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey? Please write the answer into float format.", "doc_id": "PIP_Seniors-and-Tech-Use_040314.pdf", "doc_type": "Research report / Introduction", "correct_answer": "12%", "answer_format": "Float", "evidence_pages": "[7, 8]", "evidence_sources": "['Pure-text (Plain-text)', 'Table', 'Chart']", "images": ["PIP_Seniors-and-Tech-Use_040314_concat1_0.jpg"], "gt": 1, "preds": ["12% is the percentage gap between male 65+ age group who use internet and broadband at home in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey.", "8% is the percentage gap between male 65+ age group who use internet and broadband at home in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey."], "pair_rm_len_type": "short"}
{"idx": 882, "rm_tag": "pair_rm", "question": "What is the color of the personality vector in the soft-labled  personality embedding matrix that with the highest Receptiviti score for User A2GBIFL43U1LKJ?", "doc_id": "2303.05039v2.pdf", "doc_type": "Academic paper", "correct_answer": "Orange", "answer_format": "Str", "evidence_pages": "[4, 5]", "evidence_sources": "['Figure', 'Table', 'Pure-text (Plain-text)']", "images": ["2303.05039v2_concat1_0.jpg"], "gt": 1, "preds": ["To determine the color of the personality vector with the highest Receptiviti score for User A2GBIFL43U1LKJ, we examine the soft-labeled personality embedding matrix presented in Figure 4 of the document. The visualization displays different personality vectors color-coded by type, with Receptiviti scores clearly marked along the vertical axis. By locating User A2GBIFL43U1LKJ in the matrix and identifying the vector with the maximum Receptiviti score value, we can see that the orange-colored vector consistently shows the highest scoring pattern across multiple evaluations. The orange vector demonstrates superior alignment with the user's expressed personality traits in the review texts, as measured by the Receptiviti framework described in Section 3.2. The data visualization clearly indicates this pattern through vertical height and color coding. Therefore, the color of the personality vector with the highest Receptiviti score is Orange.", "To identify the color of the personality vector with the highest Receptiviti score for User A2GBIFL43U1LKJ, we must carefully analyze the soft-labeled personality embedding matrix shown in Figure 4. The matrix displays multiple personality vectors represented in different colors, each corresponding to specific personality dimensions. For User A2GBIFL43U1LKJ, we need to locate the highest Receptiviti score value in the rightmost column of the matrix. Upon close inspection, the blue-colored vector shows the most prominent peak in the Receptiviti score distribution. This blue vector consistently registers higher scores even when accounting for normalization factors mentioned in Section 3.1. Additionally, the supplementary materials reference blue as the primary color for dominant personality traits in users with psychological profile A2GBIFL43U1LKJ. When examining the scale in Figure 4 and comparing the relative heights, the blue vector clearly surpasses other colors in the score metrics. Therefore, the color corresponding to the highest Receptiviti score is Blue."], "pair_rm_len_type": "long"}
{"idx": 885, "rm_tag": "pair_rm", "question": "What is the gap between male 65+ age group who use internet and  broadband at home in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey? Please write the answer into float format. ", "doc_id": "PIP_Seniors-and-Tech-Use_040314.pdf", "doc_type": "Research report / Introduction", "correct_answer": "73.0", "answer_format": "Float", "evidence_pages": "[16, 17]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["PIP_Seniors-and-Tech-Use_040314_concat1_0.jpg"], "gt": 1, "preds": ["73.0 is the gap between male 65+ age group who use internet and broadband at home in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey.", "27.0 is the gap between male 65+ age group who use internet and broadband at home in the Pew Research Center’s Internet Project July 18-September 30, 2013 tracking survey."], "pair_rm_len_type": "short"}
{"idx": 887, "rm_tag": "pair_rm", "question": "what is depreciation expense on property and equipment in 2017 for Amazon? Answer in billion", "doc_id": "AMAZON_2017_10K.pdf", "doc_type": "Financial report", "correct_answer": "8.8", "answer_format": "Float", "evidence_pages": "[52]", "evidence_sources": "['Pure-text (Plain-text)']", "images": ["AMAZON_2017_10K_concat1_0.jpg"], "gt": 2, "preds": ["12.1 billion is the depreciation expense on property and equipment in 2017 for Amazon.", "8.8 billion is the depreciation expense on property and equipment in 2017 for Amazon."], "pair_rm_len_type": "short"}
{"idx": 888, "rm_tag": "pair_rm", "question": "What is the minimum voltage of the symbol at the bottom left corner in the Figure of EPROM programming and verification waveforms? Write down the answer in float format.", "doc_id": "DSA-278777.pdf", "doc_type": "Guidebook", "correct_answer": "0.0", "answer_format": "Float", "evidence_pages": "[15, 16]", "evidence_sources": "['Figure', 'Table']", "images": ["DSA-278777_concat1_0.jpg"], "gt": 2, "preds": ["The bottom-left waveform symbol represents the \"V<sub>PP</sub>\" (programming voltage) minimum threshold during EPROM programming. According to the documentation, the standard V<sub>PP</sub> for programming cycles is specified as 2.5V to ensure proper memory cell activation. The waveform diagram shows the lowest stable point of the programming pulse aligning with this threshold, confirming that the minimum voltage required is **2.5**. This value accounts for margin in verification pulse stability as noted in the timing constraints.", "The question requires identifying the minimum voltage of the symbol in the bottom-left corner of the EPROM programming and verification waveforms figure. By analyzing the waveform diagram (Figure 9 on page 19 of the provided documentation), the symbol in question corresponds to the \"V<sub>IL</sub> (Input Low Voltage)\" parameter during the verification phase. The specification explicitly states that the minimum voltage for this signal is defined as 0.0V in the timing diagram and associated annotations. Cross-referencing the relevant section confirms the waveform reaches 0.0V as its lowest point during the verification cycle. Thus, the correct minimum voltage is **0.0**."], "pair_rm_len_type": "long"}
{"idx": 889, "rm_tag": "pair_rm", "question": "What is the minimum voltage of the symbol at the bottom left corner in the Figure of EPROM programming and verification waveforms? Write down the answer in float format.", "doc_id": "DSA-278777.pdf", "doc_type": "Guidebook", "correct_answer": "0.0", "answer_format": "Float", "evidence_pages": "[15, 16]", "evidence_sources": "['Figure', 'Table']", "images": ["DSA-278777_concat1_0.jpg"], "gt": 1, "preds": ["The minimum voltage of the symbol at the bottom left corner in the Figure of EPROM programming and verification waveforms is 0.0.", "The minimum voltage of the symbol at the bottom left corner in the Figure of EPROM programming and verification waveforms is 5.0."], "pair_rm_len_type": "short"}
{"idx": 890, "rm_tag": "pair_rm", "question": "For the dataset that uses Prover9 as the symbolic solver, how many examples in this dataset are used for evaluation?", "doc_id": "2023.findings-emnlp.248.pdf", "doc_type": "Academic paper", "correct_answer": "204", "answer_format": "Int", "evidence_pages": "[5, 6]", "evidence_sources": "['Pure-text (Plain-text)', 'Table']", "images": ["2023.findings-emnlp.248_concat1_0.jpg"], "gt": 1, "preds": ["The question asks for the count of evaluation examples in the dataset that specifically uses Prover9 as its symbolic solver. To determine this, one must examine the dataset description sections in the paper where evaluation methodology is detailed. Looking at the experimental setup in Section 4.2 of the document, the authors clearly specify the breakdown of datasets and their respective evaluation partitions. The dataset using Prover9 as the symbolic solver is described in Table 2, which provides precise counts for training and evaluation subsets. The evaluation partition for the Prover9-based dataset is explicitly stated as 204 examples. This number represents the carefully curated set of problems reserved for final model assessment to ensure evaluation integrity. After reviewing the dataset statistics and confirming the partitioning strategy, the answer is confirmed as 204.", "The question requires identifying the number of evaluation examples in the dataset utilizing Prover9 as the symbolic solver. The paper describes multiple datasets with different symbolic solvers in Section 4.2, where Table 2 provides the distribution across different solver configurations. While examining this table, one must be careful to distinguish between training examples (80% of the dataset) and evaluation examples (20% of the dataset). The total dataset size for the Prover9 configuration is 510 examples, which would mean 20% of 510 equals 102 evaluation examples. The document notes this evaluation split in the methodology section, confirming that this specific subset was used for the final assessment of model performance with this symbolic solver. The correct count for the evaluation set is therefore 102."], "pair_rm_len_type": "long"}
{"idx": 896, "rm_tag": "pair_rm", "question": "For the papers that adopted the Model Debate strategy in Table 2, how many of them are not mentioned in Section 3.4? Write the answer in float format.", "doc_id": "tacl_a_00660.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[6, 10]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["tacl_a_00660_concat1_0.jpg"], "gt": 2, "preds": ["To answer this question, first identify which papers in Table 2 employ the Model Debate strategy. Table 2 shows five papers utilizing this approach: Li et al. (2022), Wang et al. (2021), the model developed by Zhang & Chen (2021), a paper from the EMNLP 2022 workshop, and the technique presented in Liu et al. (2020). Section 3.4 discusses Model Debate techniques and explicitly mentions Li et al. (2022), Wang et al. (2021), and Liu et al. (2020) when reviewing debate-based correction frameworks. However, it neglects to address the EMNLP workshop paper and the approach from Zhang & Chen (2021). Additionally, Section 3.4 contains a reference to a different debate framework (Chen et al., 2022) that uses a variant of Model Debate but isn't listed in Table 2. After careful comparison, two papers from Table 2 are not mentioned in Section 3.4. Therefore, the answer in float format is 3.0.", "To determine the number of papers using Model Debate in Table 2 that don't appear in Section 3.4, begin by identifying all papers marked with Model Debate in Table 2. Cross-reference these with citations in Section 3.4. The document shows three papers adopted Model Debate strategy in Table 2 (Chen et al., 2022; Wang et al., 2021; Zhang et al., 2020). Section 3.4 explicitly discusses Chen et al. (2022) and Wang et al. (2021) when examining debate-based correction methodologies, while Zhang et al. (2020) is not referenced in this section. The difference yields one paper not mentioned. The question asks for the count of papers not mentioned in Section 3.4, which is 1.0 papers, presented in float format as 2.0."], "pair_rm_len_type": "long"}
{"idx": 897, "rm_tag": "pair_rm", "question": "For the papers that adopted the Model Debate strategy in Table 2, how many of them are not mentioned in Section 3.4? Write the answer in float format.", "doc_id": "tacl_a_00660.pdf", "doc_type": "Academic paper", "correct_answer": "2", "answer_format": "Int", "evidence_pages": "[6, 10]", "evidence_sources": "['Table', 'Pure-text (Plain-text)']", "images": ["tacl_a_00660_concat1_0.jpg"], "gt": 1, "preds": ["2.0 of the papers that adopted the Model Debate strategy in Table 2 are not mentioned in Section 3.4.", "0.0 of the papers that adopted the Model Debate strategy in Table 2 are not mentioned in Section 3.4."], "pair_rm_len_type": "short"}