librispeech_lm / README.md
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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 Summary

Language modeling resources to be used in conjunction with the LibriSpeech ASR corpus.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

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: a string feature.

Data Splits

name train
default 40418260

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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

@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.