docs: add initial dataset card

README.md

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+---
+license: cc-by-4.0
+language:
+  - en
+size_categories:
+  - 1B<n<10B
+task_categories:
+  - time-series-forecasting
+  - tabular-regression
+tags:
+  - battery
+  - state-of-charge
+  - state-of-health
+  - lithium-ion
+  - LFP
+  - lithium-iron-phosphate
+  - fast-charging
+  - cycling
+  - kalman-filter
+  - benchmark
+  - bsebench
+  - tier-1-raw
+pretty_name: "Severson 2019 LFP Fastcharge — Tier 1 Raw Mirror"
+---
+
+# severson-2019-raw
+
+**Tier 1 raw mirror** of the Severson et al. 2019 LFP fastcharge cycling
+dataset, hosted under the [BSEBench](https://bsebench.org) organization for
+reproducibility purposes. **Files are preserved exactly as published.**
+
+## Status
+
+🚧 **Upload pending** — placeholder dataset card. The raw `.mat` files will
+be uploaded once verified for SHA-256 integrity against the original
+publication.
+
+## What this is
+
+A bit-exact mirror of the dataset published with :
+
+> **Severson, K. A., Attia, P. M., Jin, N., Perkins, N., Jiang, B., Yang, Z.,
+> Chen, M. H., Aykol, M., Herring, P. K., Fraggedakis, D., Bazant, M. Z.,
+> Harris, S. J., Chueh, W. C., Braatz, R. D. (2019).**
+> "Data-driven prediction of battery cycle life before capacity degradation."
+> *Nature Energy*, 4, 383-391. doi:[10.1038/s41560-019-0356-8](https://doi.org/10.1038/s41560-019-0356-8)
+
+124 commercial LFP/graphite cells (A123 APR18650M1A, 1.1 Ah nominal) cycled
+under 72 fast-charging protocols at 30 °C, until 80 % capacity retention.
+
+## Why "raw mirror" tier
+
+BSEBench follows a **dual-tier** dataset strategy :
+
+- **Tier 1 (this repo)** — original `.mat` files, SHA-256 verified vs the
+  original publication. Used for **provenance verification** and audits.
+- **Tier 2** — see [`bsebench-org/severson-2019`](https://huggingface.co/datasets/bsebench-org/severson-2019)
+  for the **harmonized BSEBench-canonical Parquet** with consistent column
+  names, BPX-1.1 sign convention, and unified schema.
+
+For most filter benchmarking work, you want **Tier 2**. Tier 1 exists to
+let auditors verify our harmonization is faithful to the original.
+
+## Original source
+
+The original publication was distributed via [data.matr.io](https://data.matr.io/1/)
+(MIT/Stanford battery archive). This URL is recorded as **citation
+metadata** but BSEBench's HuggingFace mirror is the **single source of
+truth** for fetching — independent of `data.matr.io`'s long-term availability.
+
+## License
+
+[Creative Commons Attribution 4.0 International (CC-BY-4.0)](https://creativecommons.org/licenses/by/4.0/) — same as the original publication.
+
+## How to use
+
+```python
+from huggingface_hub import snapshot_download
+
+local_dir = snapshot_download(
+    "bsebench-org/severson-2019-raw",
+    repo_type="dataset",
+)
+# local_dir contains the raw .mat files, SHA-256 verified
+```
+
+For the BSEBench-harmonized version with a consistent Python API, prefer
+[`bsebench-org/severson-2019`](https://huggingface.co/datasets/bsebench-org/severson-2019).
+
+## Citation
+
+Cite the **original** Severson 2019 paper (BibTeX above) — not BSEBench's
+mirror. BSEBench's contribution is hosting + harmonization, not the data.
+
+If you also use BSEBench tooling, additionally cite :
+
+```bibtex
+@misc{bsebench2026,
+  author = {Akir, Oussama and BSEBench Contributors},
+  title  = {{BSEBench}: an open-source benchmark for battery state-estimation filters},
+  year   = {2026},
+  url    = {https://bsebench.org},
+}
+```
+
+## Provenance manifest
+
+A machine-readable manifest validating this dataset's metadata against the
+[`bsebench-dataset-manifest/v1`](https://github.com/bsebench-org/bsebench-specs)
+schema lives at
+[`bsebench-org/bsebench-datasets/manifests/severson_2019_lfp.yaml`](https://github.com/bsebench-org/bsebench-datasets/tree/main/manifests).
+
+Including : `source.canonical_url`, `source.canonical_doi`, every file's
+SHA-256 + size, license, and citation BibTeX.