albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
79b46c1
metadata
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: LibrispeechLm
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
paperswithcode_id: null
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 4418577129
num_examples: 40418260
download_size: 1507274412
dataset_size: 4418577129
Dataset Card for "librispeech_lm"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.openslr.org/11
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 1.51 GB
- Size of the generated dataset: 4.42 GB
- Total amount of disk used: 5.93 GB
Dataset Summary
Language modeling resources to be used in conjunction with the LibriSpeech ASR corpus.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 1.51 GB
- Size of the generated dataset: 4.42 GB
- Total amount of disk used: 5.93 GB
An example of 'train' looks as follows.
{
"text": "This is a test file"
}
Data Fields
The data fields are the same among all splits.
default
text: astringfeature.
Data Splits
| name | train |
|---|---|
| default | 40418260 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
@inproceedings{panayotov2015librispeech,
title={Librispeech: an ASR corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
pages={5206--5210},
year={2015},
organization={IEEE}
}
Contributions
Thanks to @lewtun, @jplu, @thomwolf for adding this dataset.