---
configs:
- config_name: all
  data_files:
  - split: train
    path: 
    - "data/ArXiv/train/*.arrow"
    - "data/BookCorpus2/train/*.arrow"
    - "data/Books3/train/*.arrow"
    - "data/DM Mathematics/train/*.arrow"
    - "data/Enron Emails/train/*.arrow"
    - "data/EuroParl/train/*.arrow"
    - "data/FreeLaw/train/*.arrow"
    - "data/Github/train/*.arrow"
    - "data/Gutenberg (PG-19)/train/*.arrow"
    - "data/HackerNews/train/*.arrow"
    - "data/NIH ExPorter/train/*.arrow"
    - "data/OpenSubtitles/train/*.arrow"
    - "data/OpenWebText2/train/*.arrow"
    - "data/PhilPapers/train/*.arrow"
    - "data/Pile-CC/train/*.arrow"
    - "data/PubMed Abstracts/train/*.arrow"
    - "data/PubMed Central/train/*.arrow"
    - "data/StackExchange/train/*.arrow"
    - "data/UPSTO Backgrounds/train/*.arrow"
    - "data/Ubuntu IRC/train/*.arrow"
    - "data/Wikipedia (en)/train/*.arrow"
    - "data/YoutubeSubtitles/train/*.arrow"
  - split: test
    path: 
    - "data/ArXiv/test/*.arrow"
    - "data/BookCorpus2/test/*.arrow"
    - "data/Books3/test/*.arrow"
    - "data/DM Mathematics/test/*.arrow"
    - "data/Enron Emails/test/*.arrow"
    - "data/EuroParl/test/*.arrow"
    - "data/FreeLaw/test/*.arrow"
    - "data/Github/test/*.arrow"
    - "data/Gutenberg (PG-19)/test/*.arrow"
    - "data/HackerNews/test/*.arrow"
    - "data/NIH ExPorter/test/*.arrow"
    - "data/OpenSubtitles/test/*.arrow"
    - "data/OpenWebText2/test/*.arrow"
    - "data/PhilPapers/test/*.arrow"
    - "data/Pile-CC/test/*.arrow"
    - "data/PubMed Abstracts/test/*.arrow"
    - "data/PubMed Central/test/*.arrow"
    - "data/StackExchange/test/*.arrow"
    - "data/UPSTO Backgrounds/test/*.arrow"
    - "data/Ubuntu IRC/test/*.arrow"
    - "data/Wikipedia (en)/test/*.arrow"
    - "data/YoutubeSubtitles/test/*.arrow"
  default: true
- config_name: ArXiv
  data_files:
  - split: train
    path: "data/ArXiv/train/*.arrow"
  - split: test
    path: "data/ArXiv/test/*.arrow"
- config_name: BookCorpus2
  data_files:
  - split: train
    path: "data/BookCorpus2/train/*.arrow"
  - split: test
    path: "data/BookCorpus2/test/*.arrow"
- config_name: Books3
  data_files:
  - split: train
    path: "data/Books3/train/*.arrow"
  - split: test
    path: "data/Books3/test/*.arrow"
- config_name: DM Mathematics
  data_files:
  - split: train
    path: "data/DM Mathematics/train/*.arrow"
  - split: test
    path: "data/DM Mathematics/test/*.arrow"
- config_name: Enron Emails
  data_files:
  - split: train
    path: "data/Enron Emails/train/*.arrow"
  - split: test
    path: "data/Enron Emails/test/*.arrow"
- config_name: EuroParl
  data_files:
  - split: train
    path: "data/EuroParl/train/*.arrow"
  - split: test
    path: "data/EuroParl/test/*.arrow"
- config_name: FreeLaw
  data_files:
  - split: train
    path: "data/FreeLaw/train/*.arrow"
  - split: test
    path: "data/FreeLaw/test/*.arrow"
- config_name: Github
  data_files:
  - split: train
    path: "data/Github/train/*.arrow"
  - split: test
    path: "data/Github/test/*.arrow"
- config_name: Gutenberg (PG-19)
  data_files:
  - split: train
    path: "data/Gutenberg (PG-19)/train/*.arrow"
  - split: test
    path: "data/Gutenberg (PG-19)/test/*.arrow"
- config_name: HackerNews
  data_files:
  - split: train
    path: "data/HackerNews/train/*.arrow"
  - split: test
    path: "data/HackerNews/test/*.arrow"
- config_name: NIH ExPorter
  data_files:
  - split: train
    path: "data/NIH ExPorter/train/*.arrow"
  - split: test
    path: "data/NIH ExPorter/test/*.arrow"
- config_name: OpenSubtitles
  data_files:
  - split: train
    path: "data/OpenSubtitles/train/*.arrow"
  - split: test
    path: "data/OpenSubtitles/test/*.arrow"
- config_name: OpenWebText2
  data_files:
  - split: train
    path: "data/OpenWebText2/train/*.arrow"
  - split: test
    path: "data/OpenWebText2/test/*.arrow"
- config_name: PhilPapers
  data_files:
  - split: train
    path: "data/PhilPapers/train/*.arrow"
  - split: test
    path: "data/PhilPapers/test/*.arrow"
- config_name: Pile-CC
  data_files:
  - split: train
    path: "data/Pile-CC/train/*.arrow"
  - split: test
    path: "data/Pile-CC/test/*.arrow"
- config_name: PubMed Abstracts
  data_files:
  - split: train
    path: "data/PubMed Abstracts/train/*.arrow"
  - split: test
    path: "data/PubMed Abstracts/test/*.arrow"
- config_name: PubMed Central
  data_files:
  - split: train
    path: "data/PubMed Central/train/*.arrow"
  - split: test
    path: "data/PubMed Central/test/*.arrow"
- config_name: StackExchange
  data_files:
  - split: train
    path: "data/StackExchange/train/*.arrow"
  - split: test
    path: "data/StackExchange/test/*.arrow"
- config_name: UPSTO Backgrounds
  data_files:
  - split: train
    path: "data/UPSTO Backgrounds/train/*.arrow"
  - split: test
    path: "data/UPSTO Backgrounds/test/*.arrow"
- config_name: Ubuntu IRC
  data_files:
  - split: train
    path: "data/Ubuntu IRC/train/*.arrow"
  - split: test
    path: "data/Ubuntu IRC/test/*.arrow"
- config_name: Wikipedia (en)
  data_files:
  - split: train
    path: "data/Wikipedia (en)/train/*.arrow"
  - split: test
    path: "data/Wikipedia (en)/test/*.arrow"
- config_name: YoutubeSubtitles
  data_files:
  - split: train
    path: "data/YoutubeSubtitles/train/*.arrow"
  - split: test
    path: "data/YoutubeSubtitles/test/*.arrow"
---

# Dataset description

[The pile](https://arxiv.org/abs/2101.00027) 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](https://huggingface.co/datasets/EleutherAI/pile).

The dataset is divided into 22 smaller high-quality datasets. For more information 
each of them, please refer to [the datasheet for the pile](https://arxiv.org/abs/2201.07311).

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](https://huggingface.co/datasets/ArmelR/sharded-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

```python
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.