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| 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](https://huggingface.co/spaces/PediaMedAI/MedCaseAgent) | |
| · MedCase-150K | |
| · [Agent code](https://github.com/PediaMedAI/MedCaseAgent) | |
| 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 | |
| ```python | |
| 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](https://github.com/PediaMedAI/MedCaseAgent) and | |
| configuring a compatible model API: | |
| ```bash | |
| 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](https://github.com/PediaMedAI/MedCaseAgent/blob/main/docs/preprocessing.md). | |
| For retrieval-based evaluation, prepare your own PMCID, PMID and DOI exclusion | |
| list for the benchmark sources and any related publications. | |