{
 "id": "mmrech/pitvqa-comprehensive-spatial",
 "owner": "mmrech",
 "name": "pitvqa-comprehensive-spatial",
 "downloads": 63,
 "likes": 1,
 "last_modified": "2026-01-14T14:59:22.000Z",
 "stated_licence": "cc-by-nc-nd-4.0",
 "stated_from": "tag",
 "licence_name": null,
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 "gated": false,
 "tasks": [
  "visual-question-answering",
  "object-detection",
  "image-to-text"
 ],
 "citation": "@misc{rech2026pitvqa_spatial_dataset,\n  author = {Rech, Matheus},\n  title = {PitVQA Comprehensive Spatial Dataset},\n  year = {2026},\n  publisher = {HuggingFace},\n  howpublished = {\\url{https://huggingface.co/datasets/mmrech/pitvqa-comprehensive-spatial}},\n  note = {High-fidelity spatial localization dataset for surgical VLMs}\n}\n\n@article{hoque2024pitvqa,\n  title={PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery},\n  author={Hoque, Mobarak and Clarkson, Matt and Bano, Sophia and Stoyanov, Danail and Marcus, Hani},\n  journal={arXiv preprint arXiv:2405.13949},\n  year={2024}\n}",
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 "revision": "cfe0fe726676484a32636c1d5ea9051eda2bb000",
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}