kd7/graid-bdd

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The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-sa-4.0, from the tagEvidence: README.md at 9f90c25
Licence files: No licence file at the top level of the repositoryEvidence: file list at 9f90c25
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@article{graid2025spatial,
  title={GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation},
  author={{Anonymous}},
  journal={arXiv preprint arXiv:2510.22118},
  year={2025},
  url={https://huggingface.co/papers/2510.22118}
}

@dataset{graid_bdd,
    title={GRAID BDD100K Question-Answer Dataset},
    author={GRAID Framework},
    year={2025},
    note={Generated using GRAID: Generating Reasoning questions from Analysis of Images via Discriminative artificial intelligence}
}

@INPROCEEDINGS{9156329,
    author={Yu, Fisher and Chen, Haofeng and Wang, Xin and Xian, Wenqi and Chen, Yingying and Liu, Fangchen and Madhavan, Vashisht and Darrell, Trevor},
    booktitle={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, 
    title={BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning}, 
    year={2020},
    volume={},
    number={},
    pages={2633-2642},
    keywords={Task analysis;Visualization;Roads;Image segmentation;Meteorology;Training;Benchmark testing},
    doi={10.1109/CVPR42600.2020.00271}
}

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dataset_licence({ "id": "kd7/graid-bdd" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0