metadata

license: apache-2.0
task_categories:
  - text-to-speech
  - text-to-audio
  - automatic-speech-recognition
language:
  - en
size_categories:
  - 10K<n<100K
configs:
  - config_name: small
    data_files:
      - split: train
        path: data/small/train/train*.parquet

Dataset Card for Libriheavy-HQ

Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context. Libriheavy is a labeled version of Libri-Light.

Libriheavy-HQ replaces the default Libri-Light audio files with the highest quality available versions from librivox without re-encoding them.

In most cases, this consists an upgrade of the source audio from a 64kbps .mp3 to a 128kbps .mp3.

Overview

This is the Libriheavy-HQ dataset, adapted for the datasets library.

500 hours of audio are currently available in the "small" subset. Additional subsets will be added in the future.

Usage

Subsets

Currently, only the "small" subset of Libriheavy is available.

In the future, all listed subsets will be available.

The default configuration is "small".

"small": 509 hours of speech. 417 speakers averaging 1.22 hours per speaker About 28 Gb.
"medium": 5042 hours of speech. 1531 speakers averaging 3.29 hours per speaker.
"large": 50794 hours of speech. 6736 speakers averaging 7.54 hours per speaker.
"dev": 22.3 hours of speech. 141 speakers averaging 0.16 hours per speaker.
"test.clean": 10.5 hours of speech. 70 speakers averaging 0.15 hours per speaker.
"test.other": 11.5 hours of speech. 72 speakers averaging 0.16 hours per speaker.
"test.clean.large": 107.5 hours of speech. 72 speakers averaging 1.49 hours per speaker.
"test.other.large": 100.3 hours of speech. 73 speakers averaging 1.37 hours per speaker.

Example

Loading the small config with only the train split.

load_dataset("mythicinfinity/libriheavy-hq", "small", split="train")

Streaming is also supported.

load_dataset("mythicinfinity/libriheavy-hq", streaming=True)

Columns

{
    "id": datasets.Value("string"),
    "speaker_id": datasets.Value("string"),
    "audio": datasets.Audio(sampling_rate=44_100, mono=True),
    "audio_duration": datasets.Value("float32"),
    "text_original": datasets.Value("string"),
    "text_transcription": datasets.Value("string"),
    "librivox_book_id": datasets.Value("string"),
}

Dataset Details

Dataset Description

Libriheavy License: Apache 2.0

Dataset Sources [optional]

Libriheavy Homepage: https://github.com/k2-fsa/libriheavy
Libriheavy Paper: https://arxiv.org/abs/2309.08105

Citations

@misc{Thornbury2024LibriheavyHQ,
    author = {{Thornbury, Bryan and Mythic Infinity Labs}},
    title = {{Libriheavy-HQ}},
    year = {2024},
    url = {https://huggingface.co/datasets/mythicinfinity/libriheavy-hq},
}

@misc{kang2023libriheavy,
      title={Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context}, 
      author={Wei Kang and Xiaoyu Yang and Zengwei Yao and Fangjun Kuang and Yifan Yang and Liyong Guo and Long Lin and Daniel Povey},
      year={2023},
      eprint={2309.08105},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}