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Request access to the MedDocBench full dataset
Access requests are reviewed by the MedDocBench corresponding authors: Weifa Yang (teddyrun@hku.hk) and Lequan Yu (lqyu@hku.hk).
By requesting access, you agree to use MedDocBench only for non-commercial research, education, evaluation, and reproducibility; you will not attempt re-identification; and you will not redistribute the dataset outside your approved project.
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MedDocBench Full Dataset
This is the full secondary-redacted data release for MedDocBench: Benchmarking Vision-Language Models for Reliable Structured Extraction from Real-World Clinical Forms.
MedDocBench is a bilingual English--Chinese benchmark for clinical-form OCR and structured extraction. It covers free-form transcription and extraction of handwritten text plus Y/N options from real-world clinical forms.
Access
This dataset card is public so users can read the description, terms, and request-access form. The full data files are gated, and access requests require manual approval by the corresponding authors:
- Weifa Yang:
teddyrun@hku.hk - Lequan Yu:
lqyu@hku.hk
For questions about MedDocBench or full dataset access, contact either corresponding author above. The dataset card defines additional request fields for affiliation, institutional email, intended use, project description, and data-use agreement.
Contents
data/
images/ # 100 secondary-redacted PNG images
sample_gt_v1.json # transcription-task annotations, 55 documents
sample_gt_v2.json # structured-extraction annotations, 50 documents
sample_gt.json # legacy alias for v1
dataset_split.json # file lists for v1 and v2
metadata.jsonl # lightweight index for inspection
Data Use Terms
By requesting access, users agree to use the dataset only for non-commercial research, education, evaluation, and reproducibility; not attempt to identify or re-identify individuals; not redistribute the dataset; safeguard the data in an access-controlled environment; and cite the MedDocBench paper and code repository when reporting results.
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