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--- |
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task_categories: |
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- tabular-regression |
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language: |
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- en |
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tags: |
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- physics |
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- chemistry |
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- materials |
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- ASE |
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- Perovskites |
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pretty_name: AI4Materials Demo FAIR Perovskites |
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license: mit |
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--- |
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# AI4Materials Demo FAIR Perovskites |
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This is a **teaching** dataset demonstrating F.A.I.R. hosting on the Hugging Face Hub. |
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It contains a small table of oxide perovskites with band gaps and toy EXTXYZ structures. |
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## Contents |
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- `data/table.csv` — main tabular data |
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- `data/records.jsonl` — line-delimited JSON mirror |
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- `data/structures/*.xyz` — example structures (EXTXYZ) |
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- `metadata/schema.json` — JSON Schema for validation |
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- `CITATION.cff`, `LICENSE` — citation & reuse terms |
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## Provenance |
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Synthetic examples generated for classroom demonstration on {datetime.utcnow().date()}. |
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## How to load |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("cparidaAI/fair_dataset_demo", data_files={"train": "data/table.csv"}) |
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print(ds) |
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``` |
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Or download a structure file: |
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```python |
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from huggingface_hub import hf_hub_download |
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path = hf_hub_download(repo_id="cparidaAI/fair_dataset_demo", filename="data/structures/ABO3_0001.xyz") |
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``` |
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## License |
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MIT. Please cite using `CITATION.cff`. |
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## F.A.I.R. checklist |
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- **F**indable: metadata, tags, README, (add DOI later via Zenodo) |
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- **A**ccessible: public repo, open formats |
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- **I**nteroperable: CSV/JSON/EXTXYZ, schema describes fields/units |
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- **R**eusable: license, clear citation, validation, examples |
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