README.md

metadata

language:
  - zh
license: cc-by-nc-4.0
size_categories:
  - 10B<n<100B
task_categories:
  - text-to-speech
pretty_name: Debatts-Data
tags:
  - AI
  - Debating
  - Expressive
dataset_info:
  features:
    - name: Rebuttal Subject
      dtype: string
    - name: Audio Name
      dtype: string
    - name: audio
      dtype: audio
    - name: text
      dtype: string
    - name: json
      struct:
        - name: duration
          dtype: float64
        - name: key
          dtype: string
        - name: language
          dtype: string
        - name: prompt0_wav_path
          dtype: string
        - name: style_feature
          sequence: float64
        - name: text
          dtype: string
        - name: wav_path
          dtype: string
  splits:
    - name: train
      num_bytes: 9944334
      num_examples: 12
  download_size: 8846856
  dataset_size: 9944334
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Debatts-Data: The First Madarin Rebuttal Speech Dataset for Expressive Text-to-Speech Synthesis

The Debatts-Data dataset is the first Madarin rebuttal speech dataset for expressive text-to-speech synthesis. It is constructed from a vast collection of professional Madarin speech data sourced from diverse video platforms and podcasts on the Internet. The in-the-wild collection approach ensures the real and natural rebuttal speech. In addition, the dataset contains annotations of transcription, duration and style embed. The table and chart below provide the statistic information for the dataset. For some dataset samples and more information regarding Debatts system, please visit the Debatts project page.

Dataset Specifications

Attribute	Value
Language	ZH
Number of Speakers	2,350 (est.)
Duration (hrs)	111
Type	Text + Speech
Sample Rate (kHz)	16
Recorded Method	Wild

The JSON files in the dataset contain the following keys:

Key	Description
key	Unique identifier for each sample in the dataset
text	Text transcription of the audio
duration	Duration of the audio clip in seconds
language	Language of the audio content
wav_path	Path to the corresponding WAV file
prompt0_wav_path	Path to the WAV file used as a prompt
style_feature	Style features associated with the audio sample

README 🔥🔥🔥

Dataset Usage

To utilize the Debatts-Data dataset, you can download the raw audio files from the files and versions. The Debatts-Data.tar.gz contains the training data, while the Debatts-Data_test.tar.gz contains the testing data with extra speaker prompt speech.

Please note that Debatts-Data does not own the copyright to the audio files; the copyright remains with the original owners of the videos or audio. Users are permitted to use this dataset only for non-commercial purposes under the CC BY-NC-4.0 license.