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ClarusC64/clinical-nearmiss-hidden-assumption-failure-identification-v0.1

What this dataset tests Whether a model can surface the implicit assumptionthat caused clinical reasoning to fail. It rewards naming the hidden assumption classifying its type locating the break in the logic chain Typical failures restating the outcome listing facts without identifying the assumption confusing missing data with faulty logic Suggested prompt wrapper System You identify the hidden assumption that failed. User Presenting problem{presenting_problem} Initial… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-nearmiss-hidden-assumption-failure-identification-v0.1.

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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What this dataset tests

Whether a model can surface the implicit assumption that caused clinical reasoning to fail.

It rewards

  • —naming the hidden assumption
  • —classifying its type
  • —locating the break in the logic chain

Typical failures

  • —restating the outcome
  • —listing facts without identifying the assumption
  • —confusing missing data with faulty logic

Suggested prompt wrapper

System

You identify the hidden assumption that failed.

User

Presenting problem {presenting_problem}

Initial reasoning {initialreasoningchain}

Ignored data {data_overlooked}

Contradiction signal {contradiction_signal}

Return

  • —failed assumption
  • —assumption type
  • —one sentence evidence

Citation

ClarusC64 dataset family