Dataset card
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README.md
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---
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dataset_info:
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features:
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- name: Database
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path: data/train-*
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- split: validation
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path: data/validation-*
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---
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---
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language:
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- en
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license: cc-by-4.0
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size_categories:
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- 1M<n<10M
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pretty_name: LeMaterial
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dataset_info:
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features:
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- name: Database
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path: data/train-*
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- split: validation
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path: data/validation-*
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tags:
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- materials-science
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- crystallography
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- cif
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---
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# Dataset Card for LeMaterial
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Unlabelled inorganic crystal structures from LeMat-BulkUnique, used to pre-train CrystaLLM-π.
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## Dataset Details
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- **Curated by:** Bone et al. (University College London)
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- **Source data:** [LeMat-BulkUnique](https://huggingface.co/datasets/LeMaterial/LeMat-BulkUnique)
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- **Used to train:** [c-bone/CrystaLLM-pi_base](https://huggingface.co/c-bone/CrystaLLM-pi_base)
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- **Paper:** [Discovery and recovery of crystalline materials with property-conditioned transformers (arXiv:2511.21299)](https://arxiv.org/abs/2511.21299)
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- **Repository:** [GitHub: CrystaLLM-pi](https://github.com/C-Bone-UCL/CrystaLLM-pi)
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- **License:** CC BY 4.0, following the source data
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## Dataset Structure
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| Column | Description |
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|---|---|
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| `Database` | Material identifier in LeMat-BulkUnique |
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| `Reduced Formula` | Reduced chemical formula |
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| `CIF` | Crystal structure in CrystaLLM-π augmented CIF format |
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| Split | Rows |
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|---|---|
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| train | 4,034,556 |
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| validation | 212,346 |
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## Dataset Creation
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The structures come from the PBE subset of LeMat-BulkUnique, accessed in April 2025. Within each group of structures with identical cell composition and space group, the structure with the lowest volume per formula unit was retained. The dataset uses a random 95:5 train:validation split.
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## Citation
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```bibtex
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@misc{bone2025discoveryrecoverycrystallinematerials,
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title={Discovery and recovery of crystalline materials with property-conditioned transformers},
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author={Cyprien Bone and Matthew Walker and Bradley A. A. Martin and Kuangdai Leng and Luis M. Antunes and Ricardo Grau-Crespo and Amil Aligayev and Javier Dominguez and Keith T. Butler},
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year={2025},
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eprint={2511.21299},
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archivePrefix={arXiv},
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primaryClass={cond-mat.mtrl-sci},
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url={https://arxiv.org/abs/2511.21299},
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}
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@misc{lematerial_2024,
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title={LeMat-BulkUnique Dataset},
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author={Martin Siron and Inel Djafar and Lucile Ritchie and Etienne Du-Fayet and Amandine Rossello and Ali Ramlaoui and Leandro von Werra and Thomas Wolf and Alexandre Duval},
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year={2024},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/LeMaterial/LeMat-BulkUnique},
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}
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```
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