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metadata
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.

Languages Total tokens in dataset
Cantonese 118157
English 89738
Mandarin 192631