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README.md

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+---
+task_categories:
+- tabular-regression
+language:
+- en
+tags:
+- physics
+- chemistry
+- materials
+- ASE
+- Perovskites
+pretty_name: AI4Materials Demo FAIR Perovskites
+license: mit
+---
+
+# AI4Materials Demo FAIR Perovskites
+
+This is a **teaching** dataset demonstrating F.A.I.R. hosting on the Hugging Face Hub.  
+It contains a small table of oxide perovskites with band gaps and toy EXTXYZ structures.
+
+## Contents
+- `data/table.csv` — main tabular data  
+- `data/records.jsonl` — line-delimited JSON mirror  
+- `data/structures/*.xyz` — example structures (EXTXYZ)  
+- `metadata/schema.json` — JSON Schema for validation  
+- `CITATION.cff`, `LICENSE` — citation & reuse terms
+
+## Provenance
+Synthetic examples generated for classroom demonstration on {datetime.utcnow().date()}.
+
+## How to load
+```python
+from datasets import load_dataset
+ds = load_dataset("cparidaAI/fair_dataset_demo", data_files={"train": "data/table.csv"})
+print(ds)
+```
+Or download a structure file:
+```python
+from huggingface_hub import hf_hub_download
+path = hf_hub_download(repo_id="cparidaAI/fair_dataset_demo", filename="data/structures/ABO3_0001.xyz")
+```
+
+## License
+CC-BY-4.0. Please cite using `CITATION.cff`.
+
+## F.A.I.R. checklist
+- **F**indable: metadata, tags, README, (add DOI later via Zenodo)  
+- **A**ccessible: public repo, open formats  
+- **I**nteroperable: CSV/JSON/EXTXYZ, schema describes fields/units  
+- **R**eusable: license, clear citation, validation, examples