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Dataset Card for One Billion Word Language Model Benchmark
Dataset Summary
A benchmark corpus to be used for measuring progress in statistical language modeling. This has almost one billion words in the training data.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
plain_text
- Size of downloaded dataset files: 1.79 GB
- Size of the generated dataset: 4.28 GB
- Total amount of disk used: 6.07 GB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"text": "While athletes in different professions dealt with doping scandals and other controversies , Woods continued to do what he did best : dominate the field of professional golf and rake in endorsements ."
}
Data Fields
The data fields are the same among all splits.
plain_text
text: astringfeature.
Data Splits
| name | train | test |
|---|---|---|
| plain_text | 30301028 | 306688 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
The dataset doesn't contain 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
[More Information Needeate this repository accordingly.
Citation Information
@misc{chelba2014billion,
title={One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling},
author={Ciprian Chelba and Tomas Mikolov and Mike Schuster and Qi Ge and Thorsten Brants and Phillipp Koehn and Tony Robinson},
year={2014},
eprint={1312.3005},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Contributions
Thanks to @patrickvonplaten, @lewtun, @jplu, @thomwolf for adding this dataset.
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