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pppop7/anamnesis-bench

AnamnesisBench AnamnesisBench is an evaluation benchmark for numerical reliability in LLM research agents. It focuses on a practical failure mode: an agent writes or accepts a financial research artifact that looks plausible, but contains a wrong, unsupported, or misattributed number. The benchmark is not intended as training data. It is a set of test cases, source packets, expected truth values, and deterministic scoring scripts. You run your own model or verifier, then score… See the full description on the dataset page: https://huggingface.co/datasets/pppop7/anamnesis-bench.

Author / organizationpppop7
License (as declared)apache-2.0
Downloads151 (as reported by Hugging Face)
Likes0
Created14 June 2026
Last updated at source22 June 2026
llm-agentsverificationnumerical-fabricationhallucinationagent-reliabilityfinancesec-filingsbenchmark
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