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README.md

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+---
+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.'
+---