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