Sign inGet started
Dataset · Hugging Face

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 / organizationMM-Hallu
License (as declared)mit
Downloads532 (as reported by Hugging Face)
Likes2
Created29 April 2026
Last updated at source30 April 2026
medicalvqachest-xrayhallucinationbenchmark
Embed this entry
<iframe src="https://silytics.si/embed/item/a0023ebb-ecc8-481e-9634-63d5ccaf787d" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

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

Changes detected by Silytics between refreshes of the source.

More from MM-Hallu

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.