Datasets:
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---
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.* |