task_categories:text-to-speech language:zh license:cc-by-nc-4.0 size_categories:n<1K format:parquet modality:audio modality:text library:datasets library:pandas library:mlcroissant library:polars region:us AI Debating Expressive
---
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: 9944334.0
    num_examples: 12
  download_size: 8846856
  dataset_size: 9944334.0
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](https://amphionspace.github.io/debatts/).

## 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.*