Add task_categories to dataset card

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by nielsr HF Staff - opened
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  1. README.md +94 -92
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- ---
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- license: cc-by-nc-sa-4.0
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- language:
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- - en
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- pretty_name: "SitrepGap: Operational Completeness and Grounding of LLM Situation Reports"
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- tags:
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- - crisis-informatics
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- - situation-reports
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- - llm-evaluation
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- - llm-as-a-judge
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- - humanitarian
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- size_categories:
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- - 10K<n<100K
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- configs:
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- - config_name: judgements
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- data_files: per_judgement.csv
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- default: true
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- - config_name: human_validation
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- data_files: tables/human_validation_pairs.csv
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- - config_name: slot_coverage
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- data_files: tables/slot_coverage_by_judge_arm.csv
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- - config_name: completeness_by_document
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- data_files: tables/completeness_by_document.csv
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- - config_name: reliefweb_manifest
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- data_files: reliefweb_report_manifest.csv
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- - config_name: humaid_manifest
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- data_files: humaid_source_manifest.csv
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- - config_name: machine_report_manifest
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- data_files: machine_report_manifest.csv
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- - config_name: matcher_audit
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- data_files: matcher_audit.csv
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- - config_name: open_codes
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- data_files: schema_audit/open_codes.csv
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- - config_name: clusters
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- data_files: schema_audit/clusters_summary.csv
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- ---
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-
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- # crisis-sitrep-eval
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-
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- Evaluation resources for comparing LLM-generated and professional humanitarian situation
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- reports (sitreps), from "Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against
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- Human-Authored Situation Reports" (LT4CPR Workshop @ AACL-IJCNLP 2026).
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-
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- - Paper: https://arxiv.org/abs/2610.18762
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- - Code: https://github.com/techsachinkr/llm-sitrep-evaluation
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-
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- ## Contents
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-
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- | File | What it holds |
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- |---|---|
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- | `frozen_schema.yaml` | The 15-slot information schema, with definitions and two synthetic examples per slot |
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- | `per_judgement.csv` (`judgements`) | Slot-level judge verdicts (ABSENT / PARTIAL / PRESENT) for 121 professional and 261 LLM-generated reports across five disasters, without text |
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- | `tables/human_validation_pairs.csv` (`human_validation`) | 100 blind human labels with the four judges' verdicts (Cyclone Idai) |
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- | `tables/` | Every table behind the paper's numbers: completeness, slot coverage, figure grounding, source availability, metric correlations, sensitivity analyses |
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- | `reliefweb_report_manifest.csv` | Titles, organisations, dates, URLs and hashes of the 125 ReliefWeb reports |
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- | `humaid_source_manifest.csv` | HumAID tweet IDs and text hashes (76,484 rows) |
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- | `machine_report_manifest.csv` | Request hash, output hash, call time and model ID for each of the 264 generations |
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- | `prompts.json`, `measurement_spec.json`, `model_roles.csv`, `decoding_parameters.csv` | Prompts, measurement rules, models and decoding settings |
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- | `schema_audit/open_codes.csv` (`open_codes`) | All 1,360 open codes by report (name, definition, confidence, cluster), without evidence spans |
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- | `schema_audit/clusters_summary.csv` (`clusters`), `schema_audit/clusters.csv` | All 382 clusters (threshold .35), ranked, with the 25 candidates flagged and every member code |
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- | `schema_audit/` (other files) | Induction sample, the 25 candidates, merge decisions and rationales, review record, frozen schema, and the embedding cache used for clustering |
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- | `REPRODUCIBILITY.md` | How to re-run the analysis from these files |
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-
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- ## What is not included
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-
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- No evidence spans from the open codes, no tweet text, no generated report text (generations can repeat personal data from crisis
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- posts), and no ReliefWeb documents (copyright of the publishing organisations). Use the
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- manifests to retrieve the sources and verify them against the hashes.
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-
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- ## Limitations
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-
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- The schema was induced from 56 Cyclone Idai reports, 44 of them OCHA's, so it chiefly reflects
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- OCHA reporting practice. The human validation used one annotator on Idai only. Judge labels are
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- LLM outputs. HumAID is a labelled sample of English-language tweets, not social media at large.
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-
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- ## Licence
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-
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- CC BY-NC-SA 4.0, inherited from HumAID (Alam et al., 2021) for the tweet-ID manifest.
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-
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- ## Citation
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-
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- ```bibtex
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- @misc{kumar2026sitrepgap,
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- title = {Looking Complete Is Not Being Grounded: Evaluating {LLM} Sitreps Against Human-Authored Situation Reports},
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- author = {Kumar, Sachin},
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- year = {2026},
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- eprint = {2610.18762},
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- archivePrefix = {arXiv},
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- primaryClass = {cs.CL},
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- url = {https://arxiv.org/abs/2610.18762}
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- }
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- ```
 
 
 
1
+ ---
2
+ language:
3
+ - en
4
+ license: cc-by-nc-sa-4.0
5
+ size_categories:
6
+ - 10K<n<100K
7
+ pretty_name: 'SitrepGap: Operational Completeness and Grounding of LLM Situation Reports'
8
+ task_categories:
9
+ - text-classification
10
+ tags:
11
+ - crisis-informatics
12
+ - situation-reports
13
+ - llm-evaluation
14
+ - llm-as-a-judge
15
+ - humanitarian
16
+ configs:
17
+ - config_name: judgements
18
+ data_files: per_judgement.csv
19
+ default: true
20
+ - config_name: human_validation
21
+ data_files: tables/human_validation_pairs.csv
22
+ - config_name: slot_coverage
23
+ data_files: tables/slot_coverage_by_judge_arm.csv
24
+ - config_name: completeness_by_document
25
+ data_files: tables/completeness_by_document.csv
26
+ - config_name: reliefweb_manifest
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+ data_files: reliefweb_report_manifest.csv
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+ - config_name: humaid_manifest
29
+ data_files: humaid_source_manifest.csv
30
+ - config_name: machine_report_manifest
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+ data_files: machine_report_manifest.csv
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+ - config_name: matcher_audit
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+ data_files: matcher_audit.csv
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+ - config_name: open_codes
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+ data_files: schema_audit/open_codes.csv
36
+ - config_name: clusters
37
+ data_files: schema_audit/clusters_summary.csv
38
+ ---
39
+
40
+ # crisis-sitrep-eval
41
+
42
+ Evaluation resources for comparing LLM-generated and professional humanitarian situation
43
+ reports (sitreps), from "Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against
44
+ Human-Authored Situation Reports" (LT4CPR Workshop @ AACL-IJCNLP 2026).
45
+
46
+ - Paper: https://arxiv.org/abs/2610.18762
47
+ - Code: https://github.com/techsachinkr/llm-sitrep-evaluation
48
+
49
+ ## Contents
50
+
51
+ | File | What it holds |
52
+ |---|---|
53
+ | `frozen_schema.yaml` | The 15-slot information schema, with definitions and two synthetic examples per slot |
54
+ | `per_judgement.csv` (`judgements`) | Slot-level judge verdicts (ABSENT / PARTIAL / PRESENT) for 121 professional and 261 LLM-generated reports across five disasters, without text |
55
+ | `tables/human_validation_pairs.csv` (`human_validation`) | 100 blind human labels with the four judges' verdicts (Cyclone Idai) |
56
+ | `tables/` | Every table behind the paper's numbers: completeness, slot coverage, figure grounding, source availability, metric correlations, sensitivity analyses |
57
+ | `reliefweb_report_manifest.csv` | Titles, organisations, dates, URLs and hashes of the 125 ReliefWeb reports |
58
+ | `humaid_source_manifest.csv` | HumAID tweet IDs and text hashes (76,484 rows) |
59
+ | `machine_report_manifest.csv` | Request hash, output hash, call time and model ID for each of the 264 generations |
60
+ | `prompts.json`, `measurement_spec.json`, `model_roles.csv`, `decoding_parameters.csv` | Prompts, measurement rules, models and decoding settings |
61
+ | `schema_audit/open_codes.csv` (`open_codes`) | All 1,360 open codes by report (name, definition, confidence, cluster), without evidence spans |
62
+ | `schema_audit/clusters_summary.csv` (`clusters`), `schema_audit/clusters.csv` | All 382 clusters (threshold .35), ranked, with the 25 candidates flagged and every member code |
63
+ | `schema_audit/` (other files) | Induction sample, the 25 candidates, merge decisions and rationales, review record, frozen schema, and the embedding cache used for clustering |
64
+ | `REPRODUCIBILITY.md` | How to re-run the analysis from these files |
65
+
66
+ ## What is not included
67
+
68
+ No evidence spans from the open codes, no tweet text, no generated report text (generations can repeat personal data from crisis
69
+ posts), and no ReliefWeb documents (copyright of the publishing organisations). Use the
70
+ manifests to retrieve the sources and verify them against the hashes.
71
+
72
+ ## Limitations
73
+
74
+ The schema was induced from 56 Cyclone Idai reports, 44 of them OCHA's, so it chiefly reflects
75
+ OCHA reporting practice. The human validation used one annotator on Idai only. Judge labels are
76
+ LLM outputs. HumAID is a labelled sample of English-language tweets, not social media at large.
77
+
78
+ ## Licence
79
+
80
+ CC BY-NC-SA 4.0, inherited from HumAID (Alam et al., 2021) for the tweet-ID manifest.
81
+
82
+ ## Citation
83
+
84
+ ```bibtex
85
+ @misc{kumar2026sitrepgap,
86
+ title = {Looking Complete Is Not Being Grounded: Evaluating {LLM} Sitreps Against Human-Authored Situation Reports},
87
+ author = {Kumar, Sachin},
88
+ year = {2026},
89
+ eprint = {2610.18762},
90
+ archivePrefix = {arXiv},
91
+ primaryClass = {cs.CL},
92
+ url = {https://arxiv.org/abs/2610.18762}
93
+ }
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+ ```