Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-regression | |
| pretty_name: tahoe_g2m_score | |
| tags: | |
| - tabular | |
| - singlecell | |
| - regression | |
| - Biomedical | |
| - Benchmark | |
| - rna-seq | |
| - g2m-score-regression | |
| configs: | |
| - config_name: tahoe_g2m_score | |
| data_files: | |
| - split: train | |
| path: data/train.parquet | |
| - split: validation | |
| path: data/val.parquet | |
| - split: test | |
| path: data/test.parquet | |
| dataset_info: | |
| description: 'Single-cell RNA-seq data from the Tahoe-100M dataset (ARC Institute, | |
| 2025). A random subsample of cells and genes is used for tractability. Task: predict | |
| G2M score (regression). Method: pearson_residuals, Dim: 5000.' | |