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metadata
pretty_name: LibriSpeech
annotations_creators:
  - expert-generated
language_creators:
  - crowdsourced
  - expert-generated
language:
  - en
license:
  - cc-by-4.0
multilinguality:
  - monolingual
paperswithcode_id: librispeech-1
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - automatic-speech-recognition
  - audio-classification
task_ids:
  - speaker-identification
dataset_info:
  - config_name: all
    features:
      - name: file
        dtype: string
      - name: audio
        dtype:
          audio:
            sampling_rate: 16000
      - name: text
        dtype: string
      - name: speaker_id
        dtype: int64
      - name: chapter_id
        dtype: int64
      - name: id
        dtype: string
    splits:
      - name: train.clean.100
        num_bytes: 6627791685
        num_examples: 28539
      - name: train.clean.360
        num_bytes: 23927767570
        num_examples: 104014
      - name: train.other.500
        num_bytes: 31852502880
        num_examples: 148688
      - name: validation.clean
        num_bytes: 359505691
        num_examples: 2703
      - name: validation.other
        num_bytes: 337213112
        num_examples: 2864
      - name: test.clean
        num_bytes: 368449831
        num_examples: 2620
      - name: test.other
        num_bytes: 353231518
        num_examples: 2939
    download_size: 61357943031
    dataset_size: 63826462287
  - config_name: clean
    features:
      - name: file
        dtype: string
      - name: audio
        dtype:
          audio:
            sampling_rate: 16000
      - name: text
        dtype: string
      - name: speaker_id
        dtype: int64
      - name: chapter_id
        dtype: int64
      - name: id
        dtype: string
    splits:
      - name: train.100
        num_bytes: 6619683041
        num_examples: 28539
      - name: train.360
        num_bytes: 23898214592
        num_examples: 104014
      - name: validation
        num_bytes: 359572231
        num_examples: 2703
      - name: test
        num_bytes: 367705423
        num_examples: 2620
    download_size: 30121377654
    dataset_size: 31245175287
  - config_name: default
    features:
      - name: id
        dtype: string
      - name: speaker_id
        dtype: int64
      - name: chapter_id
        dtype: int64
      - name: file
        dtype: string
      - name: text
        dtype: string
      - name: audio
        struct:
          - name: array
            sequence: float64
          - name: sampling_rate
            dtype: int64
      - name: start_sample
        dtype: int64
      - name: end_sample
        dtype: int64
    splits:
      - name: train
        num_bytes: 5128149274
        num_examples: 20005
    download_size: 1226978020
    dataset_size: 5128149274
  - config_name: other
    features:
      - name: file
        dtype: string
      - name: audio
        dtype:
          audio:
            sampling_rate: 16000
      - name: text
        dtype: string
      - name: speaker_id
        dtype: int64
      - name: chapter_id
        dtype: int64
      - name: id
        dtype: string
    splits:
      - name: train.500
        num_bytes: 31810256902
        num_examples: 148688
      - name: validation
        num_bytes: 337283304
        num_examples: 2864
      - name: test
        num_bytes: 352396474
        num_examples: 2939
    download_size: 31236565377
    dataset_size: 32499936680
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for librispeech_asr

Table of Contents

Dataset Description

LibriSpeech ASR 2s Splits Dataset

Version of LibriSpeech ASR corpus split into 2s clips.

Usage

from datasets import load_dataset

# Load the dataset from the Hub
dataset = load_dataset("pavanyellow/librispeech_asr")

# Or load a specific split
dataset = load_dataset("pavanyellow/librispeech_asr", split="train")

# Access the data
for example in dataset['train'][:5]:
   audio = example['audio']
   text = example['text']