Datasets:
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: The Pile GitHub
size_categories: []
source_datasets:
- original
tags: []
task_categories:
- text-generation
- fill-mask
- text-classification
task_ids: []
Dataset Card for The Pile GitHub
Table of Contents
Dataset Description
- Homepage: ElutherAI
- Repository: GitHub
- Paper: arXiv
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
This is the GitHub subset of EleutherAi/The Pile dataset and contains GitHub repositories. The programming languages are identified using the guesslang library. A total of 54 programming languages are included in the dataset.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The following languages are covered by the dataset:
'Assembly', 'Batchfile', 'C', 'C#', 'C++', 'CMake', 'COBOL', 'CSS', 'CSV', 'Clojure', 'CoffeeScript', 'DM', 'Dart', 'Dockerfile', 'Elixir', 'Erlang', 'Fortran', 'Go', 'Groovy', 'HTML', 'Haskell', 'INI', 'JSON', 'Java', 'JavaScript', 'Julia', 'Kotlin', 'Lisp', 'Lua', 'Makefile', 'Markdown', 'Matlab', 'None', 'OCaml', 'Objective-C', 'PHP', 'Pascal', 'Perl', 'PowerShell', 'Prolog', 'Python', 'R', 'Ruby', 'Rust', 'SQL', 'Scala', 'Shell', 'Swift', 'TOML', 'TeX', 'TypeScript', 'Verilog', 'Visual Basic', 'XML', 'YAML'
The guesslang library is used to identify the programming languages. It has a guessing accuracy of above 90%. Hence, there will be some misclassifications in the language identification.
Dataset Structure
Data Instances
[More Information Needed]
{
'text': ...,
'meta': {'language': ...}
}
Data Fields
text
(string
): the source code.meta
(dict
): the metadata of the source code.language
(string
): the programming language of the source code.
Data Splits
[More Information Needed]
train | validation | test | |
---|---|---|---|
Input Sentences | |||
Average Sentence Length |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
The data is purely a subset of the EleutherAI/The Pile dataset. See the original dataset for more details.
Additional Information
Licensing Information
The Pile dataset was released on January 1st, 2021. It is licensed under the MIT License. See the dataset for more details.
Citation Information
Provide the BibTex-formatted reference for the dataset. For example:
@article{pile,
title={The {P}ile: An 800GB Dataset of Diverse Text for Language Modeling},
author={Gao, Leo and Biderman, Stella and Black, Sid and Golding, Laurence and Hoppe, Travis and Foster, Charles and Phang, Jason and He, Horace and Thite, Anish and Nabeshima, Noa and Presser, Shawn and Leahy, Connor},
journal={arXiv preprint arXiv:2101.00027},
year={2020}
}
Contributions
Thanks to @andstor for adding this dataset.