PPMSA-Factory-data: Health Report Interpretations and Doctor-Patient Dialogues

A dataset of 3,503 health examination report interpretations and doctor-patient dialogues generated via the PPMSA-Factory architecture. The data was created by author YDXX and last updated on March 6, 2026. It is split into 3,403 training and 100 test samples for generalization assessment.

Use Cases

• Training dialogue systems for medical consultations based on the doctor-patient dialogue data.
• Fine-tuning models to interpret health examination reports based on the report interpretation data.
• Evaluating model generalization on clinical text using the provided 100-sample test set.
• Studying the structure of patient questions that include a '/think' marker as indicated in the description.

Strengths

• Contains 3,503 total samples, providing a substantive base for model training.
• Includes a dedicated test set of 100 samples for generalization assessment.
• Data was generated through a defined architecture (PPMSA-Factory), suggesting a structured creation process.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the full dataset is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Generated through the PPMSA-Factory architecture.

Time Range

null

Freshness

Last updated 2026-03-06 11:16:53; freshness should be verified.

Geography

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