Datasets:
| 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.' | |