MM-Hallu/HEAL-MedVQA
HEAL-MedVQA: Hallucination Evaluation and Analysis for Medical Visual Question Answering This dataset is part of the MM-Hallu benchmark collection for evaluating multimodal hallucination in vision-language models. Dataset Description HEAL-MedVQA evaluates medical VQA hallucination on chest X-ray images. It includes both closed-ended (yes/no) and open-ended questions about radiological findings, with annotated anatomical regions. Statistics… See the full description on the dataset page: https://huggingface.co/datasets/MM-Hallu/HEAL-MedVQA.
| Author / organization | MM-Hallu |
|---|---|
| License (as declared) | mit |
| Downloads | 532 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 29 April 2026 |
| Last updated at source | 30 April 2026 |
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532 now (+33 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: HEAL-MedVQA: Hallucination Evaluation and Analysis for Medical Visual Question Answering This dataset is part of the MM-Hallu benchmark collection for evaluating multimodal hallucination in vision-language models. Dataset Description HEAL-M → HEAL-MedVQA: Hallucination Evaluation and Analysis for Medical Visual Question Answering This dataset is part of the MM-Hallu benchmark collection for evaluating multimodal hallucination in vision-language models. Dataset Description HEAL-M
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