
# Distil Whisper: GigaSpeech 

This is a variant of the [GigaSpeech](https://huggingface.co/datasets/speechcolab/gigaspeech) dataset, augmented to return the pseudo-labelled Whisper 
Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by 
labelling the input audio data with the Whisper [large-v2](https://huggingface.co/openai/whisper-large-v2)
model with *greedy* sampling. For information on how the original dataset was curated, refer to the original 
[dataset card](https://huggingface.co/datasets/speechcolab/gigaspeech).

## Standalone Usage

First, install the latest version of the 🤗 Datasets package:

```bash
pip install --upgrade pip
pip install --upgrade datasets[audio]
```

The dataset can be downloaded and pre-processed on disk using the [`load_dataset`](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/loading_methods#datasets.load_dataset) 
function:

```python
from datasets import load_dataset

dataset = load_dataset("distil-whisper/gigaspeech-l", "l")
# take the first sample of the validation set
sample = dataset["validation"][0]
```

It can also be streamed directly from the Hub using Datasets' [streaming mode](https://huggingface.co/blog/audio-datasets#streaming-mode-the-silver-bullet).
Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire 
dataset to disk:

```python
from datasets import load_dataset

dataset = load_dataset("distil-whisper/gigaspeech-l", "l", streaming=True)
# take the first sample of the validation set
sample = next(iter(dataset["validation"]))
```

## Distil Whisper Usage

To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the 
[Distil Whisper repository](https://github.com/huggingface/distil-whisper#training).

## License

This dataset is licensed under custom terms. To view the custom license for this dataset, refer to the original [dataset card](https://huggingface.co/datasets/speechcolab/gigaspeech).


task_categories:automatic-speech-recognition language:en license:other region:us
{"language": ["en"], "license": "other", "task_categories": ["automatic-speech-recognition"], "extra_gated_prompt": "SpeechColab does not own the copyright of the audio files. For researchers and educators who wish to use the audio files for non-commercial research and/or educational purposes, we can provide access through the Hub under certain conditions and terms. \nTerms of Access:\nThe \"Researcher\" has requested permission to use the GigaSpeech database (the \"Database\") at Tsinghua University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n1. Researcher shall use the Database only for non-commercial research and educational purposes.\n2. The SpeechColab team and Tsinghua University make no representations or warranties regarding the Database, including but not limited to warranties of non-infringement or fitness for a particular purpose.\n3. Researcher accepts full responsibility for his or her use of the Database and shall defend and indemnify the SpeechColab team and Tsinghua University, including their employees, Trustees, officers and agents, against any and all claims arising from Researcher's use of the Database, including but not limited to Researcher's use of any copies of copyrighted audio files that he or she may create from the Database.\n4. Researcher may provide research associates and colleagues with access to the Database provided that they first agree to be bound by these terms and conditions.\n5. The SpeechColab team and Tsinghua University reserve the right to terminate Researcher's access to the Database at any time.\n6. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer.\n\nPlease also fill out the Google Form https://forms.gle/UuGQAPyscGRrUMLq6 to request access to the GigaSpeech dataset.", "extra_gated_fields": {"Name": "text", "Email": "text", "Organization": "text", "Address": "text", "I hereby confirm that I have requested access via the Google Form provided above": "checkbox", "I accept the terms of access": "checkbox"}}
TAGS
#task_categories-automatic-speech-recognition #language-English #license-other #region-us 


# Distil Whisper: GigaSpeech 

This is a variant of the GigaSpeech dataset, augmented to return the pseudo-labelled Whisper 
Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by 
labelling the input audio data with the Whisper large-v2
model with *greedy* sampling. For information on how the original dataset was curated, refer to the original 
dataset card.

## Standalone Usage

First, install the latest version of the  Datasets package:



The dataset can be downloaded and pre-processed on disk using the 'load_dataset' 
function:



It can also be streamed directly from the Hub using Datasets' streaming mode.
Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire 
dataset to disk:



## Distil Whisper Usage

To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the 
Distil Whisper repository.

## License

This dataset is licensed under custom terms. To view the custom license for this dataset, refer to the original dataset card.


# Distil Whisper: GigaSpeech 

This is a variant of the GigaSpeech dataset, augmented to return the pseudo-labelled Whisper 
Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by 
labelling the input audio data with the Whisper large-v2
model with *greedy* sampling. For information on how the original dataset was curated, refer to the original 
dataset card. ## Standalone Usage

First, install the latest version of the  Datasets package:



The dataset can be downloaded and pre-processed on disk using the 'load_dataset' 
function:



It can also be streamed directly from the Hub using Datasets' streaming mode.
Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire 
dataset to disk: ## Distil Whisper Usage

To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the 
Distil Whisper repository. ## License

This dataset is licensed under custom terms. To view the custom license for this dataset, refer to the original dataset card.
TAGS
#task_categories-automatic-speech-recognition #language-English #license-other #region-us 
 # Distil Whisper: GigaSpeech 

This is a variant of the GigaSpeech dataset, augmented to return the pseudo-labelled Whisper 
Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by 
labelling the input audio data with the Whisper large-v2
model with *greedy* sampling. For information on how the original dataset was curated, refer to the original 
dataset card. ## Standalone Usage

First, install the latest version of the  Datasets package:



The dataset can be downloaded and pre-processed on disk using the 'load_dataset' 
function:



It can also be streamed directly from the Hub using Datasets' streaming mode.
Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire 
dataset to disk: ## Distil Whisper Usage

To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the 
Distil Whisper repository. ## License

This dataset is licensed under custom terms. To view the custom license for this dataset, refer to the original dataset card.
passage: TAGS
#task_categories-automatic-speech-recognition #language-English #license-other #region-us 
# Distil Whisper: GigaSpeech 

This is a variant of the GigaSpeech dataset, augmented to return the pseudo-labelled Whisper 
Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by 
labelling the input audio data with the Whisper large-v2
model with *greedy* sampling. For information on how the original dataset was curated, refer to the original 
dataset card.## Standalone Usage

First, install the latest version of the  Datasets package:



The dataset can be downloaded and pre-processed on disk using the 'load_dataset' 
function:



It can also be streamed directly from the Hub using Datasets' streaming mode.
Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire 
dataset to disk:## Distil Whisper Usage

To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the 
Distil Whisper repository.## License

This dataset is licensed under custom terms. To view the custom license for this dataset, refer to the original dataset card.