Medical Reasoning

Synthetic evaluation data designed for high-difficulty Chinese medical reasoning: clinical contexts, evidence appraisal and decisions under multiple constraints.

Purpose & provenance

Chinese synthetic rewrites from HealthBench Professional source families: 29 cases, reference answers, 536 weighted rubric items and 125 recorded evidence references. Both JSONL formats contain the same cases, with source attribution and modification notes.

Public sample

Download dataset ↗

Schema / fields & files

Field and type excerpts; consult the pinned source revision and original documentation.

id / question / answer_format
string: stable case ID, Chinese task and required response structure; question and answer_format together form the input.
standard_answer
string: reference answer; keep separate from the evaluated model input.
rubric
array[object]: criterion is string, weight is int, critical is bool, and acceptable_alternatives is string.
evidence / source
array[object] / object: evidence references and source revision, original IDs and family mapping. Recorded summaries are not a new clinical literature review.
healthbench/medical_eval.jsonl
One JSON object per line: id, conversation.messages and rubric_items; the same cases as default, not an additional independent dataset.

Release & source revision

Release version 1.0 · UTF-8 JSONL · default and healthbench interfaces · Release date recorded by source

Pinned HF revision:a046feee901815184f58f72dadf9218537501f12

Default structured records (JSONL) ↗