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Update README.md

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  license: afl-3.0
 
 
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  The Meltome dataset is a thermostability prediction dataset derived from the Meltome Atlas, a large-scale study that measured the melting temperatures (Tm) of proteins across the tree of life.
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  1. mixed_split.csv
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  - Purpose: Cross-species diversity split
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  - Description: Uses MMseqs2 clustering with >20% sequence identity
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  Key Challenge
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  Research has shown that models achieving high Spearman correlation on cross-species data (mixed_split) may be misleadingly good - they often learn to distinguish global amino acid composition differences between species rather than the specific sequence features that determine thermostability within a species.
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- This is why having both mixed_split (cross-species) and human / human_cell (species-specific) splits is important for proper evaluation.
 
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  license: afl-3.0
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+ tags:
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+ - biology
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  The Meltome dataset is a thermostability prediction dataset derived from the Meltome Atlas, a large-scale study that measured the melting temperatures (Tm) of proteins across the tree of life.
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+ Note: DROP any example that has split=nan when training. The reason for leaving them is to keep this dataset identical to the original one.
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  1. mixed_split.csv
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  - Purpose: Cross-species diversity split
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  - Description: Uses MMseqs2 clustering with >20% sequence identity
 
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  Key Challenge
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  Research has shown that models achieving high Spearman correlation on cross-species data (mixed_split) may be misleadingly good - they often learn to distinguish global amino acid composition differences between species rather than the specific sequence features that determine thermostability within a species.
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+ This is why having both mixed_split (cross-species) and human / human_cell (species-specific) splits is important for proper evaluation.