{
 "id": "initiacms/XLRS-Bench-lite",
 "owner": "initiacms",
 "name": "XLRS-Bench-lite",
 "downloads": 3614,
 "likes": 4,
 "last_modified": "2025-10-31T13:31:13.000Z",
 "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",
  "multiple-choice",
  "question-answering"
 ],
 "citation": "If you find our work helpful, please consider citing:\n\n```tex\n@inproceedings{wang2025xlrs,\n  title={Xlrs-bench: Could your multimodal llms understand extremely large ultra-high-resolution remote sensing imagery?},\n  author={Wang, Fengxiang and Wang, Hongzhen and Guo, Zonghao and Wang, Di and Wang, Yulin and Chen, Mingshuo and Ma, Qiang and Lan, Long and Yang, Wenjing and Zhang, Jing and others},\n  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},\n  pages={14325--14336},\n  year={2025}\n}\n\n@article{wang2025geollava,\n  title={GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution},\n  author={Wang, Fengxiang and Chen, Mingshuo and Li, Yueying and Wang, Di and Wang, Haotian and Guo, Zonghao and Wang, Zefan and Shan, Boqi and Lan, Long and Wang, Yulin and others},\n  journal={arXiv preprint arXiv:2505.21375},\n  year={2025}\n}\n```",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "e540ee2aa745ce9a83784ae76541ddb7f79f03ac",
 "stated_evidence": "https://huggingface.co/datasets/initiacms/XLRS-Bench-lite/blob/e540ee2aa745ce9a83784ae76541ddb7f79f03ac/README.md",
 "file_evidence": "https://huggingface.co/datasets/initiacms/XLRS-Bench-lite/tree/e540ee2aa745ce9a83784ae76541ddb7f79f03ac",
 "card_nc": false
}