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@@ -72,6 +72,11 @@ The dataset began with the AlphaFold Protein Structure Database , undergoing a t
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  2. *Second Clustering:* Foldseek further clustered these proteins into 18.8M clusters, expanded to 18.6M proteins by adding diverse members.
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  3. *Quality Filtering:* Removed proteins with low pLDDT scores, short lengths, and highly repetitive 3Di-strings. The final training split contains 17M proteins.
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  ## Citation
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  ```
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  @article{heinzinger2023prostt5,
 
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  2. *Second Clustering:* Foldseek further clustered these proteins into 18.8M clusters, expanded to 18.6M proteins by adding diverse members.
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  3. *Quality Filtering:* Removed proteins with low pLDDT scores, short lengths, and highly repetitive 3Di-strings. The final training split contains 17M proteins.
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+ ## Data Splits
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+ Data splits into train, test, and, validation were created by moving whole clusters (after quality filtering - see above), to either of the sets.
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+ For validation and test, we only kept representatives to avoid bias towards large families.
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+ This resulted in 474 proteins for test, 474 proteins for validation and around 17M proteins for training.
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+
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  ## Citation
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  ```
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  @article{heinzinger2023prostt5,