Datasets:
| { | |
| "READY": true, | |
| "name": "proteinea_solubility", | |
| "task": "binary", | |
| "num_classes": 2, | |
| "cat_idx": [], | |
| "num_samples": 71421, | |
| "num_features": 8000, | |
| "imbalance_ratio": 1.3829, | |
| "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.", | |
| "source": "proteinea/solubility (Hugging Face). Binary protein solubility prediction dataset. Labels indicate whether a protein is soluble (1) or insoluble (0). Separate train, validation and test CSV files.", | |
| "label": "Proteomics", | |
| "sub_labels": [ | |
| "protein-seq" | |
| ] | |
| } |