{
 "id": "KevinNotSmile/nuscenes-qa-mini",
 "owner": "KevinNotSmile",
 "name": "nuscenes-qa-mini",
 "downloads": 897,
 "likes": 4,
 "last_modified": "2024-01-19T03:02:03.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "visual-question-answering",
  "text-generation"
 ],
 "citation": "@inproceedings{caesar2020nuscenes,\n  title={nuscenes: A multimodal dataset for autonomous driving},\n  author={Caesar, Holger and Bankiti, Varun and Lang, Alex H and Vora, Sourabh and Liong, Venice Erin and Xu, Qiang and Krishnan, Anush and Pan, Yu and Baldan, Giancarlo and Beijbom, Oscar},\n  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},\n  pages={11621--11631},\n  year={2020}\n}\n\n@article{qian2023nuscenes,\n  title={NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario},\n  author={Qian, Tianwen and Chen, Jingjing and Zhuo, Linhai and Jiao, Yang and Jiang, Yu-Gang},\n  journal={arXiv preprint arXiv:2305.14836},\n  year={2023}\n}\n\n@article{huang2023modality,\n  title={Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI},\n  author={Huang, Kai and Yang, Boyuan and Gao, Wei},\n  journal={arXiv preprint arXiv:2312.07886},\n  year={2023}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "0536018fe71cf604889fed7bc990412adce7b602",
 "stated_evidence": "https://huggingface.co/datasets/KevinNotSmile/nuscenes-qa-mini/blob/0536018fe71cf604889fed7bc990412adce7b602/README.md",
 "file_evidence": "https://huggingface.co/datasets/KevinNotSmile/nuscenes-qa-mini/tree/0536018fe71cf604889fed7bc990412adce7b602",
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}