Heal Medvqa: Medical Visual Question Answering Dataset

Heal Medvqa is a dataset for medical visual question answering, likely containing image-text pairs. The dataset was published on huggingface by the author tuandung2812 and was last updated on 2026-04 13. Its specific content, scale, and collection methodology require verification after download.

Use Cases

• Train a model for answering questions about medical images (inferred from domain, verify after download)
• Benchmark medical visual question answering systems (inferred from domain, verify after download)
• Fine-tune vision-language models for healthcare diagnostics (inferred from domain, verify after download)

Strengths

• Published on the huggingface platform, facilitating access and versioning.
• Last updated on 2026-04-13 17:27:32, indicating recent maintenance.

Limitations

• Metadata is minimal; actual content, scale, and column definitions require verification after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Uploaded by author tuandung2812; original collection method is unknown.

Time Range

null

Freshness

Last updated 2026-04-13 17:27:32.

Geography

null