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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 by paper_pdf_path on every row.

More documentation (row schema, error taxonomy, usage) coming soon.

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