pretty_name: MedCase-Bench
size_categories:
- n<1K
tags:
- medical-literature
- case-reports
- clinical-atoms
configs:
- config_name: metadata
default: true
data_files:
- split: evaluation
path: metadata.json
MedCase-Bench
Project page · MedCase-150K · Agent code
MedCase-Bench contains 584 cases for medical case-report generation, with one clinical-atom JSON file per case and source bibliography. Clinical atoms are patient-specific facts extracted from published case reports, covering history, presentation, examinations, treatment and outcome.
Each atom file contains five lists of strings:
| Field | Contents |
|---|---|
history |
Patient background and relevant medical history. |
presentation |
Symptoms and findings at presentation. |
diagnostics |
Examinations, laboratory results and diagnostic observations. |
management |
Treatments, procedures and clinical decisions. |
outcome |
Clinical course, response and follow-up. |
Files
| File | Contents |
|---|---|
atoms/<PMCID>_atoms.json |
584 clinical-atom files. |
metadata.json |
584 corresponding source records, including article identifiers, publication dates, licenses and source download links. |
This package contains textual inputs and source metadata. Full articles and
medical images can be obtained through the source links in metadata.json.
Source publications retain the licenses recorded in their metadata.
Use
import json
from pathlib import Path
files = sorted(Path("atoms").glob("*_atoms.json"))
assert len(files) == 584
atoms = json.loads(files[0].read_text(encoding="utf-8"))
print(atoms["history"])
After installing MedCaseAgent and configuring a compatible model API:
medcase-agent validate atoms/<PMCID>_atoms.json
medcase-agent generate atoms/<PMCID>_atoms.json \
--exclude-ids path/to/your-exclusions.json --output runs
For generation with images, prepare each case's source images following the preprocessing guide. For retrieval-based evaluation, prepare your own PMCID, PMID and DOI exclusion list for the benchmark sources and any related publications.