Add metadata.json

metadata.json

@@ -0,0 +1,16 @@
+{
+  "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"
+  ]
+}