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Thushi2003/slake-grounded-vqa-gemma4-e2b

SLAKE English Grounded VQA Annotations Derived English annotations for the SLAKE medical visual question-answering dataset. Splits train.jsonl: 4,919 records; 370 with boxes validation.jsonl: 1,053 records; 69 with boxes test.jsonl: 1,061 records; 78 with boxes Each row contains a question, answer, relative image filename, SLAKE metadata and knowledge-graph triple, grounding status, and structured answer-plus-region target. Images are not included. Use img_name… See the full description on the dataset page: https://huggingface.co/datasets/Thushi2003/slake-grounded-vqa-gemma4-e2b.

Author / organizationThushi2003
License (as declared)cc-by-4.0
Downloads0 (as reported by Hugging Face)
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Created16 October 2026
Last updated at source16 October 2026
medicalvisual-question-answering
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  • 16 Oct 2026 Description: SLAKE English Grounded VQA Annotations Derived English annotations for the SLAKE medical visual question-answering dataset. Files train.jsonl: 4,919 question records validation.jsonl: 1,053 question records Each row includes the question an → SLAKE English Grounded VQA Annotations Derived English annotations for the SLAKE medical visual question-answering dataset. Splits train.jsonl: 4,919 records; 370 with boxes validation.jsonl: 1,053 records; 69 with boxes test.jsonl: 1,061 r
  • 16 Oct 2026 License: none → cc-by-4.0
  • 16 Oct 2026 Description: none → SLAKE English Grounded VQA Annotations Derived English annotations for the SLAKE medical visual question-answering dataset. Files train.jsonl: 4,919 question records validation.jsonl: 1,053 question records Each row includes the question an
  • 16 Oct 2026 Topics added task_categories:visual-question-answering, medical, visual-question-answering

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