ConvergeBio/uniref50
UniRef50 Complete UniRef50 dataset from UniProt, converted from XML to sharded Parquet. UniRef50 clusters sequences at 50% identity, providing the most aggressively deduplicated UniRef tier — ideal for training protein language models and building diverse, non-redundant sequence sets. Part of the ConvergeBio Protein Database Collection — see also UniRef90, UniRef100, and UniClust30. Dataset Summary Clusters 60,315,044 Shards 130 Compressed size… See the full description on the dataset page: https://huggingface.co/datasets/ConvergeBio/uniref50.
| Author / organization | ConvergeBio |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 508 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 18 March 2026 |
| Last updated at source | 30 March 2026 |
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508 now (+129 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: UniRef50 Complete UniRef50 dataset from UniProt, converted from XML to sharded Parquet. UniRef50 clusters sequences at 50% identity, providing the most aggressively deduplicated UniRef tier — ideal for training protein language models and b → UniRef50 Complete UniRef50 dataset from UniProt, converted from XML to sharded Parquet. UniRef50 clusters sequences at 50% identity, providing the most aggressively deduplicated UniRef tier — ideal for training protein language models and b
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More from ConvergeBio
- ConvergeBio/oas-unpairedDataset
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- ConvergeBio/uniref100Dataset
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