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Datasets:
mythicinfinity
/
Libriheavy-HQ

Tasks:
Text-to-Speech
Text-to-Audio
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
ArXiv:
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
1
Libriheavy-HQ / README.md
Bryan Thornbury
test initial setup
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metadata
license: cc-by-4.0
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

WIP: This dataset is still a WIP, check back later.

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 encoded as .wav files at a 48khz sampling rate.

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.

Usage

Subsets

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

In the future, the "medium", and "large" will be available.

The default configuration is "small".

  • "small": 509 hours of speech. 417 speakers averaging 1.22 hours per speaker. Does not overlap with other subsets.

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=48_000, mono=True),
    "audio_duration": datasets.Value("float32"),
    "text_original": datasets.Value("string"),
    "text_transcription": datasets.Value("string"),
    "librivox_book_id": datasets.Value("string"),
}

Example Row 

{
  'audio': {
    'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS/dev-clean/3081/166546/3081_166546_000028_000002.wav', 
    'array': ..., 
    'sampling_rate': 24000
  }, 
  'text_normalized': 'How quickly he disappeared!"',
  'text_original': 'How quickly he disappeared!"',
  'speaker_id': '3081', 
  'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS/dev-clean/3081/166546/3081_166546_000028_000002.wav', 
  'chapter_id': '166546', 
  'id': '3081_166546_000028_000002'
}

Dataset Details

Dataset Description

  • Libriheavy License: Apache 2.0

Dataset Sources [optional]

Citations 

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