README.md

---
annotations_creators: []
language_creators: []
language:
- th
- id
- vi
license:
- apache-2.0
multilinguality:
- multilingual
pretty_name: Gigaspeech 2
source_datasets: []
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. 

  Terms of Access:

  The "Researcher" has requested permission to use the GigaSpeech 2 database
  (the "Database") at Tsinghua University. In exchange for such permission,
  Researcher hereby agrees to the following terms and conditions:

  1. Researcher shall use the Database only for non-commercial research and
  educational purposes.

  2. 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.

  3. 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.

  4. 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.

  5. The SpeechColab team and Tsinghua University reserve the right to terminate
  Researcher's access to the Database at any time.

  6. 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.


  !!! Please also fill out the Google Form TODO: to request access to the
  Gigaspeech 2 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:
- croissant
---

# Dataset Card for Gigaspeech 2

## Table of Contents
- [Table of Contents](#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)
- [Terms of Access](#terms-of-access)
  

## Dataset Description

- **Homepage:** https://github.com/SpeechColab/GigaSpeech2
- **Repository:** https://github.com/SpeechColab/GigaSpeech2
- **Paper:** TODO:
- **Leaderboard:** https://github.com/SpeechColab/GigaSpeech2#leaderboard
- **Point of Contact:** [gigaspeech@speechcolab.org](mailto:gigaspeech@speechcolab.org)

## Dataset Description
GigaSpeech 2 is an evolving, large-scale, multi-domain, and multilingual ASR corpus focusing on low-resource languages. $GigaSpeech 2 raw$ comprises about 30,000 hours of automatically transcribed speech, across Thai, Indonesian, and Vietnamese. $GigaSpeech 2 refine$ consists of 10,000 hours of Thai, 6,000 hours each for Indonesian and Vietnamese.

### Example Usage
TODO:

### Supported Tasks and Leaderboards

- `automatic-speech-recognition`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. Evaluation metrics includes Character Error Rate (CER) for Thai, and Word Error Rate (WER) for Indonesian and Vietnamese. The task has an active leaderboard which can be found at https://github.com/SpeechColab/GigaSpeech2#leaderboard and ranks models based on their WER.

### Languages
Gigaspeech 2 contains audio and transcription data in Thai, Indonesian, Vietnamese.

## Dataset Structure

### Data Instances
TODO:

### Data Fields
TODO:

### Data Splits
TODO:

#### Transcribed Training Subsets Size
TODO:

#### Transcribed Evaluation Subsets
TODO:

## Dataset Creation

### Curation Rationale
TODO:

### Source Data
TODO:

#### Initial Data Collection and Normalization
TODO:

#### Who are the source language producers?
TODO:

### Annotations

#### Annotation process
TODO:

#### Who are the annotators?
Development (DEV) and test (TEST) subsets are annotated by professional human annotators.

### Personal and Sensitive Information
TODO:

## Considerations for Using the Data

### Social Impact of Dataset
TODO:

### Discussion of Biases
TODO:

### Other Known Limitations
TODO:

## Additional Information

### Dataset Curators
TODO:

### Licensing Information
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 our site under certain conditions and terms.

In general, when training a machine learning model on a given dataset, the license of the model is **independent** to that of the
dataset. That is to say, speech recognition models trained on the GigaSpeech 2 dataset may be eligible for commercial license, 
provided they abide to the 'Fair Use' terms of the underlying data and do not violate any explicit copyright restrictions. 
This is likely to be true in most use-cases. However, it is your responsiblity to verify the appropriate model license for 
your specific use-case by confirming that the dataset usage abides by the Fair Use terms. SpeechColab is not responsible 
for the license of any machine learning model trained on the GigaSpeech 2 dataset.

### Citation Information
Please cite this paper if you find this work useful:
TODO:

### Contributions
TODO:

## Terms of Access
The "Researcher" has requested permission to use the GigaSpeech 2 database (the "Database") 
at Tsinghua University. In exchange for such permission, Researcher hereby agrees to the 
following terms and conditions:

1. Researcher shall use the Database only for non-commercial research and educational purposes.
2. 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.
3. 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.
4. 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.
5. The SpeechColab team and Tsinghua University reserve the right to terminate Researcher's access to the Database at any time.
6. 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.