README.md

metadata

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..