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---
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
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  - name: train.other.500
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  - name: validation.clean
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  - name: validation.other
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  - name: test.clean
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    num_examples: 2620
  - name: test.other
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  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
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    num_examples: 28539
  - name: train.360
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  - name: validation
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    num_examples: 2703
  - name: test
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  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:
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  - 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-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [LibriSpeech ASR corpus](http://www.openslr.org/12)
- **Repository:** [Needs More Information]
- **Paper:** [LibriSpeech: An ASR Corpus Based On Public Domain Audio Books](https://www.danielpovey.com/files/2015_icassp_librispeech.pdf)
- **Leaderboard:** [The 🤗 Speech Bench](https://huggingface.co/spaces/huggingface/hf-speech-bench)
- **Point of Contact:** [Daniel Povey](mailto:dpovey@gmail.com)

# LibriSpeech ASR 2s Splits Dataset

Version of LibriSpeech ASR corpus split into 2s clips.

## Usage

```python
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']