Datasets:
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
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: LibriSpeech ASR corpus
- Repository: [Needs More Information]
- Paper: LibriSpeech: An ASR Corpus Based On Public Domain Audio Books
- Leaderboard: The 🤗 Speech Bench
- Point of Contact: Daniel Povey
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']