cxyzhang/caseReportBench_ClinicalDenseExtraction_Benchmark
CaseReportBench: Clinical Dense Extraction Benchmark CaseReportBench is a curated benchmark dataset designed to evaluate how well large language models (LLMs) can perform dense information extraction from clinical case reports, with a focus on rare disease diagnosis. It supports fine-grained, system-level phenotype extraction and structured diagnostic reasoning — enabling model evaluation in real-world medical decision-making contexts. 🔔 Note This dataset… See the full description on the dataset page: https://huggingface.co/datasets/cxyzhang/caseReportBench_ClinicalDenseExtraction_Benchmark.
| Author / organization | cxyzhang |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 138 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 April 2025 |
| Last updated at source | 5 November 2025 |
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