| --- |
| 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-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'] |
|
|
|
|
