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README.md
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path: data/test-*.parquet
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# UniRef50
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Use the original `sequences/.../shard-*.fasta.zst` files for complete FASTA records. Use the default Parquet table for Dataset Viewer previews, source discovery, file sizes, and download patterns.
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## Splits
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## Preparation
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The normalization script used to create the Parquet files is included at `scripts/prepare_uniref50_dataset.py`.
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path: data/test-*.parquet
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---
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# UniRef50
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UniRef50 is one of three clustering levels in the UniProt Reference Clusters (UniRef100 / UniRef90 / UniRef50). It is produced by clustering UniRef90 cluster representatives with MMseqs2 using a 50% sequence identity threshold and an 80% length overlap, yielding a substantially condensed view of UniProtKB plus selected UniParc records. UniRef50 is the workhorse search and training database for protein ML: AlphaFold2 and most protein language models (ESM, ProtTrans, etc.) use UniRef50 or its close cousin UniRef90 as the primary diverse protein corpus, since the redundancy reduction gives a much flatter sample of sequence space than raw UniProtKB.
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## Splits
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## Preparation
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The normalization script used to create the Parquet files is included at `scripts/prepare_uniref50_dataset.py`.
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# Citation
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```
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@article{suzek2015uniref,
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title = {{UniRef} clusters: a comprehensive and scalable alternative for improving sequence similarity searches},
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author = {Suzek, Baris E. and Wang, Yuqi and Huang, Hongzhan and McGarvey, Peter B. and Wu, Cathy H. and {UniProt Consortium}},
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journal = {Bioinformatics},
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volume = {31},
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number = {6},
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pages = {926--932},
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year = {2015},
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publisher = {Oxford University Press},
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doi = {10.1093/bioinformatics/btu739}
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}
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```
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