| --- |
| 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 |
| dtype: string |
| - name: text |
| dtype: string |
| - name: wav_path |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 9878829.0 |
| num_examples: 8 |
| download_size: 8784465 |
| dataset_size: 9878829.0 |
| 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.* |
