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Master-AI-Lab/AtomWorldBench

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Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at c37d5db
Licence files: No licence file at the top level of the repositoryEvidence: file list at c37d5db
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

question-answering

Citation text from the card

If you use AtomWorldBench in your work, please cite:

```bibtex
@misc{lv2025atomworldbenchmarkevaluatingspatial,
      title={AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials},
      author={Taoyuze Lv and Alexander Chen and Fengyu Xie and Chu Wu and Jeffrey Meng and Dongzhan Zhou and Bram Hoex and Zhicheng Zhong and Tong Xie},
      year={2025},
      eprint={2510.04704},
      archivePrefix={arXiv},
      primaryClass={cond-mat.mtrl-sci}
}

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dataset_licence({ "id": "Master-AI-Lab/AtomWorldBench" })
signal: "permissive"
stated_licence: "mit"
sources: 0