metadata
dataset_info:
features:
- name: image_file_path
dtype: string
- name: image
dtype: image
- name: labels
dtype: uint8
splits:
- name: train
num_bytes: 59153400
num_examples: 60000
download_size: 26957572
dataset_size: 59153400
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- image-classification
language:
- en
size_categories:
- 10K<n<100K
Example of usage:
from datasets import load_dataset
dataset = load_dataset("Andron00e/CIFAR10-custom")
splitted_dataset = dataset["train"].train_test_split(test_size=0.2)