Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-regression | |
| pretty_name: pca_50k | |
| tags: | |
| - tabular | |
| - genomics | |
| - multiregression | |
| - Biomedical | |
| - Benchmark | |
| configs: | |
| - config_name: pca_50k | |
| data_files: | |
| - split: train | |
| path: data/train.parquet | |
| - split: validation | |
| path: data/val.parquet | |
| - split: test | |
| path: data/test.parquet | |
| dataset_info: | |
| description: This dataset contains genotypes from chromosome chr22 for a subset | |
| of samples from the 1000 Genomes Project and HGDP. For this specific dataset, | |
| 50k SNPs at random positions where randomly selected from the original sequences | |
| and missing values where introduced with a probability of 0%. The task | |
| is to predict the first 3 PCA coordinates of each sample.. | |