Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-classification | |
| pretty_name: proteinea_solubility | |
| tags: | |
| - tabular | |
| - proteomics | |
| - binary | |
| - Biomedical | |
| - Benchmark | |
| - protein-seq | |
| configs: | |
| - config_name: proteinea_solubility | |
| data_files: | |
| - split: train | |
| path: data/train.parquet | |
| - split: validation | |
| path: data/val.parquet | |
| - split: test | |
| path: data/test.parquet | |
| dataset_info: | |
| description: 'Sample-level binary classification task predicting protein solubility. | |
| Labels: 1 = soluble, 0 = insoluble. Features are k-mer (k=3) frequency vectors | |
| computed from single amino-acid sequences. Missing feature values are not imputed.' | |