README.md

metadata

annotations_creators:
  - no-annotation
language:
  - en
  - code
language_creators:
  - crowdsourced
  - machine-generated
license: []
multilinguality:
  - multilingual
pretty_name: Pile V2
size_categories:
  - n>1T
source_datasets:
  - extended|the_pile
tags:
  - code
task_categories:
  - text-generation
task_ids:
  - language-modeling

Dataset Card for [Dataset Name]

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage:
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

The PileV2 is a larger and more diverse collection of text data mostly focused on English text. Specifically, it is a collection of roughly 40 different data subsets. This includes the original 22 subsets from the original pile plus a heavy focus on additional software engineering specific data subsets including the newly released "The Stack" from bigcode, various programming competition sources, and a number of programmer oriented discussion groups such as Discourse, programming Subreddits, and Stack Exchange. This portion of the PileV2 we've named the CodePile to hopefully improve language model for the domain of Software Engineering that goes beyond simplily coding.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

The PileV2:

• ArXiv - https://arxiv.org/
• PubMed Central - https://www.ncbi.nlm.nih.gov/pmc/
• Books3 - https://the-eye.eu/public/AI/pile_preliminary_components/books3.tar.gz
• Project Gutenberg - https://www.gutenberg.org/
• Free Law Project - https://free.law/
• Wikipedia (en) - https://dumps.wikimedia.org/enwiki/
• EuroParl - https://www.statmt.org/europarl/
• (Hendryks) SEC - https://www.sec.gov/
• (Hendryks) AMPS - https://www.amps.org/
• USPTO - https://www.uspto.gov/
• Hacker News - https://news.ycombinator.com/
• OpenWebText2 - https://skylion007.github.io/OpenWebTextCorpus/
• Pile-CC -
• Pile of Law - https://www.pileoflaw.com/
• Case.Law - https://case.law/
• Multi Session -
• Reddit - https://files.pushshift.io/reddit/

The CodePile:

• The Stack - https://www.bigcode-project.org/docs/about/the-stack/
• Ubuntu IRC - https://irclogs.ubuntu.com/
• Stack Exchange - https://archive.org/details/stackexchange
• DM Mathematics - https://www.kaggle.com/c/learn-ai-bowl-2020/data
• Apache Software Foundation Public Mail Archives - https://mail-archives.apache.org/
• Arduino Forum - https://forum.arduino.cc/
• GitLab - https://gitlab.com/
• Bitbucket diffs - https://bitbucket.org/
• Bitbucket code - https://bitbucket.org/
• Programming Competition Data - https://www.kaggle.com/c/learn-ai-bowl-2020/data
• Discourse - https://meta.discourse.org/t/discourse-data-explorer/112497
• Reddit Programming Subthreads - https://files.pushshift.io/reddit/
• Programming Books - https://www.kaggle.com/gyani95/380000-lyrics-from-metrolyrics
• UseNet - https://archive.org/details/usenet
• Mailing Lists - https://www.kaggle.com/wcukierski/enron-email-dataset
• Gitter Discussions - https://gitter.im/
• Zulip - https://zulipchat.com/
• AI4Code Notebooks -
• LinusTechTips forums - https://linustechtips.com/
• GitHub diffs -
• GitHub Issues -
• Leetcode - https://leetcode.com/

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @github-username for adding this dataset.