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README.md
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---
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license: cdla-permissive-2.0
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task_categories:
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- tabular-regression
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pretty_name: true_melting_point
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tags:
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- tabular
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- proteomics
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- regression
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- Biomedical
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- Benchmark
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- cds-seq
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configs:
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- config_name: true_melting_point
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data_files:
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- split: train
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path: data/train.parquet
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- split: validation
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path: data/val.parquet
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- split: test
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path: data/test.parquet
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dataset_info:
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description: 'Sequence-level regression task predicting the melting temperature
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of proteins. Data originates from the Thermostability Atlas, compiled via a mass
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spectrometry-based proteomic approach. Splits follow the ''mixed'' strategy from
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FLIP: sequences are clustered at 20% identity, with 80% of clusters assigned to
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train and 20% to test, avoiding over-emphasis of large clusters. Features are
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mean-pooled ESM-2 (esm2_t12_35M_UR50D) sequence embeddings.'
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---
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