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README.md

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+---
+language: en
+license: cc-by-sa-4.0
+tags:
+  - biology
+  - protein
+  - uniclust
+  - uniclust30
+  - uniref30
+  - msa
+pretty_name: UniClust30 (UniRef30)
+size_categories:
+  - 10M<n<100M
+---
+
+# UniClust30 (UniRef30)
+
+Complete UniClust30 / UniRef30 dataset (release 2023_02) from the Söding Lab,
+converted from HH-suite A3M format to sharded Parquet.
+
+## Contents
+
+Each row represents a UniRef30 cluster with:
+- **cluster_id**: Cluster identifier (e.g. UniRef30 accession)
+- **representative_id**: UniProt accession of the representative sequence
+- **sequence**: Representative protein sequence
+- **sequence_length**: Length of the representative sequence
+- **sequence_xxh128**: xxHash-128 of the representative sequence
+- **num_aligned**: Number of sequences in the A3M multiple sequence alignment
+- **a3m**: Full A3M-formatted multiple sequence alignment for the cluster
+- **member_count**: Number of cluster members (from mapping file)
+- **member_ids**: List of all member UniProt accessions
+
+## Source
+
+- **Origin:** [Uniclust / UniRef30](https://uniclust.mmseqs.com/)
+- **Release:** 2023_02
+- **Format:** Converted from HH-suite ffindex/ffdata A3M database
+- **Compression:** zstd
+- **Reference:** Mirdita et al., "Uniclust databases of clustered and deeply annotated
+  protein sequences and alignments", *Nucleic Acids Res.* 2017
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ConvergeBio/uniclust30")
+```
+
+## License
+
+UniClust30 data is available under
+[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).

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