Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: OpenWebText2
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
- text-classification
task_ids:
- language-modeling
- masked-language-modeling
- text-scoring
dataset_info:
features:
- name: title
dtype: string
- name: text
dtype: string
config_name: plain_text
splits:
- name: train
num_bytes: 68571017395
num_examples: 17103059
download_size: 29344276480
dataset_size: 68571017395
viewer: false
Dataset Card for the_pile_openwebtext2
Table of Contents
- Dataset Card for the_pile_openwebtext2
Dataset Description
- Homepage: https://openwebtext2.readthedocs.io/en/latest/
- Repository: GitHub
- Paper: https://arxiv.org/abs/2101.00027
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
Defunct: Dataset "the_pile_openwebtext2" is defunct and no longer accessible due to unavailability of the source data.
OpenWebText2 is part of EleutherAi/The Pile dataset and is an enhanced version of the original OpenWebTextCorpus covering all Reddit submissions from 2005 up until April 2020, with further months becoming available after the corresponding PushShift dump files are released.
|download_size|27.3 Gib| |dataset_size|63.8 Gib|
Supported Tasks and Leaderboards
This dataset is used for Language Modeling.
Languages
This dataset is in English.
Dataset Structure
Data Instances
This example was too long and was cropped:
{'title': Xiaomi Mi Note 10 Gearbest Coupon Promo Code [6+128GB] [France Warehouse],
'text': '27% off Xiaomi Mi Note 10 (CC9 Pro) 108MP Penta Camera Mobile Phone Global Version Online Smartphone – Black Gearbest Coupon Promo Code\n\nGearbest Coupon Price :$439.99\n\nRegular Price : $603.19 Your Save : $163.20 Coupon Limit: 100 times Warehouse: France Expires : September 30, 2020 Coupon Valid for...',
'reddit_scores': [6],}
Data Fields
title: title of the web pagetext: text content of the web pagereddit_scores: scores of the reddit submissions that mention this web page, as a list of integers
Data Splits
|split|num examples|
|train|17103059|
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
[Needs More Information]
Citation Information
@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
researcher2 Wrote much of this code, with inspiration and some straight copying of the scraping code found here.
sdtblck kindly put together the Colab notebook, and performed a chunk of the scraping.
leogao2 provided overall design guidance, lm_dataformat, and performed another chunk of scraping.
Colaboratory VMs helped with about 10% of our overall scraping.
The Eye host the processed datasets.
Read The Docs host our documentation.
@richarddwang added this dataset to HF/datasets.