MMSciFact
Multimodal scientific fact-checking benchmark: model-generated question-answer pairs over scientific PDFs, with every answer sentence human-annotated for role, dependency structure, and grounding label against the source document.
- 257 QA pairs across 45 papers, 2737 annotated sentences.
Files
mmscifact.jsonl— one row per QA pair.pdfs.zip— one PDF per paper (pdfs/<paper_id>.pdf), referenced bypaper_pdf_pathon every row.
More documentation (row schema, error taxonomy, usage) coming soon.
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