Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Multilinguality:
multilingual
Size Categories:
unknown
Language Creators:
crowdsourced
metadata
annotations_creators: []
language_creators:
- crowdsourced
language:
- en
- code
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
Dataset Description
A small subset in each dataset of pile-v2(~1000 samples) of pile-v2 dataset, each has 1,000 random samples from the original dataset. The dataset has 255MB of text (code and english).
Languages
The dataset contains technical text on programming languages and natural language with the following subsets,
- Bible
- TED2020
- PileOfLaw
- StackExchange
- GithubIssues
- Opensubtitles
- USPTO
- S2ORC
- DevDocs
- CodePileReddit2022
- USENET
- GNOME
- ASFPublicMail
- PileV2Reddit2020
- CodePilePosts
- Discourse
- Tanzil
- arXiv
- UbuntuIRC
- PubMed
- CodePileReddit2020
- CodePileReddit2021
- GlobalVoices
- FreeLaw_Options
- PileV2Posts
Dataset Structure
from datasets import load_dataset
load_dataset("CarperAI/pile-v2-small")
How to use it
You can either load the whole dataset like above, or load a specific subset such as arxiv by specifying the folder directory:
load_dataset("CarperAI/pile-v2-small", data_dir="data/arxiv")