Codesota · Natural Language Processing · Question Answering · FRAMESTasks/Natural Language Processing/Question Answering
Question Answering · benchmark dataset · 2024 · EN

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation.

RAG evaluation dataset for factuality, retrieval, and reasoning in answer generation.

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§ 01 · Leaderboard

Best published scores.

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Primary
accuracy · higher is better
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§ 06 · Contribute

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Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

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What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies