hanjang/MedLayBench-V
MedLayBench-V A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models ๐ Paper | ๐ป Code | ๐ Project Page ACL 2026 Findings (Oral Presentation) Dataset Description MedLayBench-V is the first large-scale multimodal benchmark providing paired expert and layman captions for medical images. Built on ROCOv2, it contains 79,793 image-text pairs across 7 imaging modalities, each with both a clinical expert caption and aโฆ See the full description on the dataset page: https://huggingface.co/datasets/hanjang/MedLayBench-V.
| Author / organization | hanjang |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 287 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 7 April 2026 |
| Last updated at source | 8 April 2026 |
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- 16 Oct 2026 Description: MedLayBench-V A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models ๐ Paper | ๐ป Code | ๐ Project Page ACL 2026 Findings (Oral Presentation) Dataset Description MedLayBench-V is the first large-scale โ MedLayBench-V A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models ๐ Paper | ๐ป Code | ๐ Project Page ACL 2026 Findings (Oral Presentation) Dataset Description MedLayBench-V is the first large-scale
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