ArmelR/the-pile-splitted

Dataset description

The pile is an 800GB dataset of english text designed by EleutherAI to train large-scale language models. The original version of the dataset can be found here.

The dataset is divided into 22 smaller high-quality datasets. For more information each of them, please refer to the datasheet for the pile.

However, the current version of the dataset, available on the Hub, is not splitted accordingly. We had to solve this problem in order to improve the user experience when it comes to deal with the pile via the hub.

Here is an instance of the pile

{
  'meta': {'pile_set_name': 'Pile-CC'},
  'text': 'It is done, and submitted. You can play “Survival of the Tastiest” on Android, and on the web. Playing on...'
}

We used the meta column to properly divide the dataset in subsets. Each instance example belongs to the subset domain and domain = example['meta']['pile_set_name']. By doing this, we were able to create a new version of the pile that is properly divided, each instance having a new column domain.

We further splitted each subset in train/test (97%/3%) to build the current dataset which the following structure

data
  ArXiv
    train
    test
  BookCorpus2
    train
    test
  Books3
    train
    test

Usage

from datasets import load_dataset
dataset = load_dataset(
  "ArmelR/the-pile-splitted",
  subset_of_interest,
  num_proc=8
)

Using subset_of_interest = "default" will load the whole dataset.