{
 "id": "kd7/graid-waymo-unique",
 "owner": "kd7",
 "name": "graid-waymo-unique",
 "downloads": 60,
 "likes": 0,
 "last_modified": "2025-10-29T01:02:13.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
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 "gated": false,
 "tasks": [
  "visual-question-answering",
  "object-detection",
  "image-text-to-text"
 ],
 "citation": "@article{elmaaroufi2025graid,\n  title={GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation},\n  author={Elmaaroufi, Karim and Zheng, Jonathan and Xu, Haohan and Pan, Yang and Kim, Younghyun and Choi, Joshua and Amsalem, Yoav and Ma, Jianxin and Xu, Minjun and Liu, Fang and Liang, Ting and Singh, Kavit and Hwu, Wen-mei and Chen, Yida},\n  journal={arXiv preprint arXiv:2510.22118},\n  year={2025}\n}\n\n@dataset{graid_waymo,\n    title={GRAID Waymo Perception Dataset Question-Answer Dataset},\n    author={GRAID Framework},\n    year={2025},\n    note={Generated using GRAID: Generating Reasoning questions from Analysis of Images via Discriminative artificial intelligence}\n}\n\n@inproceedings{waymo,\n    title={Scalability in Perception for Autonomous Driving: Waymo Open Dataset},\n    author={Sun, Pei and Kretzschmar, Henrik and Dotiwalla, Xerxes and Chouard, Aurelien and Patnaik, Vijaysai and Tsui, Paul and Guo, James and Zhou, Yin and Chai, Yuning and Caine, Benjamin and others},\n    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},\n    pages={2446--2454},\n    year={2020}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "304ff1121c1fbfe2e6e893cb7ed61f0d5dec02bb",
 "stated_evidence": "https://huggingface.co/datasets/kd7/graid-waymo-unique/blob/304ff1121c1fbfe2e6e893cb7ed61f0d5dec02bb/README.md",
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}