Datasets:
metadata
task_categories:
- tabular-regression
configs:
- config_name: develop
data_files: develop.jsonl
default: true
- config_name: submit
data_files: submit.jsonl
Dataset
Configuration
dataset_name: final-dataset
graphs_path: hf://CSE472-blanket-challenge/final-graphs
output_path: data/datasets/${dataset_name}
n_samples: 500
n_datasets: 1
scm_type: linear, nonlinear
coeff_range: 1.0
noise_std: 0.5
env_type: iid, covariate, label
projection: pca
shift_mean: 0.8
shift_std: 0.2
train_fraction: 0.8
seed: 42
overwrite: true
Load data
from datasets import load_dataset
develop = load_dataset("CSE472-blanket-challenge/final-dataset", 'develop', split='train')
submit = load_dataset("CSE472-blanket-challenge/final-dataset", 'submit', split='train')