Datasetpublic

mugezhang/medical-temporal-reasoning-sft

Medical Temporal Reasoning — SFT Dataset SFT training data for a medical temporal reasoning model that, given a current and prior chest X-ray, produces step-by-step reasoning about disease progression. Built from MIMIC-CXR image pairs. Images are not included; image_path contains relative paths into the MIMIC-CXR-JPG dataset. Splits Split Records Description train_answer_only 158,439 Training records, answer only (process=null) train_reasoning 10,559… See the full description on the dataset page: https://huggingface.co/datasets/mugezhang/medical-temporal-reasoning-sft.

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Dataset Card

Medical Temporal Reasoning — SFT Dataset

SFT training data for a medical temporal reasoning model that, given a current and prior chest X-ray, produces step-by-step reasoning about disease progression.

Built from MIMIC-CXR image pairs. Images are not included; image_path contains relative paths into the MIMIC-CXR-JPG dataset.

Splits

Split	Records	Description
`train_answer_only`	158,439	Training records, answer only (`process=null`)
`train_reasoning`	10,559	Training records with GPT-mined `<think>` traces
`val_answer_only`	7,933	Validation records, answer only (`process=null`)
`val_reasoning`	516	Validation records with `<think>` traces

The four splits are fully disjoint (no shared item_id). Train/val split is by patient (subject_id) — no patient appears in both.

Sources

dataset_name	Type	Records
`mmxu`	MCQ, region-level progression	90,000
`meddiffvqa`	Open-ended, entity-level change	85,339
`custom_mcq_ms_cxr_t`	MCQ, disease-level (GPT-generated from MS-CXR-T)	2,108

Format

Each record:

json

{
  "item_id": "mmxu_12345",
  "image_path": ["p17/.../current.jpg", "p17/.../prior.jpg"],
  "question": "How has the left lung changed? A) Worsened B) Improved ...",
  "answer": "<answer>A</answer>",
  "process": "<think>Comparing the two images...</think>",
  "dataset_name": "mmxu_answer_only"
}

process is null in answer_only splits and a <think>...</think> string in reasoning splits.