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---
dataset_info:
- config_name: cantonese
features:
- name: id
dtype: int32
- name: audio
dtype: audio
- name: raw_transcription
dtype: string
- name: transcription
dtype: string
- name: num_samples
dtype: int32
- name: gender
dtype: int64
- name: lang_id
dtype: int64
- name: language
dtype: string
- name: lang_group_id
dtype: int64
splits:
- name: data
num_bytes: 2680103452.96
num_examples: 3120
download_size: 2542018371
dataset_size: 2680103452.96
- config_name: english
features:
- name: id
dtype: int32
- name: audio
dtype: audio
- name: raw_transcription
dtype: string
- name: transcription
dtype: string
- name: num_samples
dtype: int32
- name: gender
dtype: int64
- name: lang_id
dtype: int64
- name: language
dtype: string
- name: lang_group_id
dtype: int64
splits:
- name: data
num_bytes: 2379988073.948
num_examples: 3643
download_size: 2360973517
dataset_size: 2379988073.948
- config_name: mandarin
features:
- name: id
dtype: int32
- name: audio
dtype: audio
- name: raw_transcription
dtype: string
- name: transcription
dtype: string
- name: num_samples
dtype: int32
- name: gender
dtype: int64
- name: lang_id
dtype: int64
- name: language
dtype: string
- name: lang_group_id
dtype: int64
splits:
- name: data
num_bytes: 3193694434.6
num_examples: 4600
download_size: 3198917645
dataset_size: 3193694434.6
configs:
- config_name: cantonese
data_files:
- split: data
path: cantonese/data-*
- config_name: english
data_files:
- split: data
path: english/data-*
- config_name: mandarin
data_files:
- split: data
path: mandarin/data-*
license: other
task_categories:
- automatic-speech-recognition
- text-to-speech
language:
- yue
- eng
- cmn
pretty_name: GT Google FLEURS
size_categories:
- 10K<n<100K
---
# Dataset Card for GT Google FLEURS
**Languages**: Cantonese (`yue`), English (`eng`), Mandarin (`cmn`)
**Source**: https://huggingface.co./datasets/google/fleurs
**Data processing**:
1. Download the Cantonese (`yue_hant_hk`), English (`en_us`), and Mandarin (`cmn_hans_cn`) datasets from the source.
2. Consolidate the `train`, `validation`, and `test` tags.
3. Remove files with duplicate names.
| Languages | Numbers of data |
| :-------: | :-------------: |
| Cantonese | 3120 |
| English | 3643 |
| Mandarin | 4600 |
| Languages | Sizes of dataset |
| :-------: | :--------------: |
| Cantonese | 2.68 GB |
| English | 2.38 GB |
| Mandarin | 3.19 GB |
| Languages | Durations of dataset |
| :-------: | :------------------: |
| Cantonese | 11.05 Hrs |
| English | 10.31 Hrs |
| Mandarin | 14.07 Hrs |
| Languages | Unique tokens in dataset |
| :-------: | :----------------------: |
| Cantonese | 2535 |
| English | 9123 |
| Mandarin | 2559 |
> For more details, refer to the token JSON file for each language in the [dataset](https://huggingface.co./datasets/gtomato/google_fleurs/tree/main).
| Languages | Total tokens in dataset |
| :-------: | :---------------------: |
| Cantonese | 118157 |
| English | 89738 |
| Mandarin | 192631 |