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--- |
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language: |
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- zh |
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license: cc-by-nc-4.0 |
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size_categories: |
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- 10B<n<100B |
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task_categories: |
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- text-to-speech |
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pretty_name: Debatts-Data |
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tags: |
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- AI |
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- Debating |
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- Expressive |
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dataset_info: |
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features: |
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- name: Rebuttal Subject |
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dtype: string |
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- name: Audio Name |
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dtype: string |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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- name: json |
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struct: |
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- name: duration |
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dtype: float64 |
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- name: key |
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dtype: string |
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- name: language |
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dtype: string |
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- name: prompt0_wav_path |
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dtype: string |
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- name: style_feature |
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dtype: string |
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- name: text |
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dtype: string |
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- name: wav_path |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 9879086.0 |
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num_examples: 12 |
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download_size: 8783045 |
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dataset_size: 9879086.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Debatts-Data: The First Madarin Rebuttal Speech Dataset for Expressive Text-to-Speech Synthesis |
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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. |
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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/). |
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## Dataset Specifications |
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| Attribute | Value | |
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|----------------------|---------------| |
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| Language | ZH | |
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| Number of Speakers | 2,350 (est.) | |
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| Duration (hrs) | 111 | |
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| Type | Text + Speech | |
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| Sample Rate (kHz) | 16 | |
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| Recorded Method | Wild | |
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The JSON files in the dataset contain the following keys: |
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| Key | Description | |
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|-------------------|----------------------------------------------------------| |
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| `key` | Unique identifier for each sample in the dataset | |
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| `text` | Text transcription of the audio | |
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| `duration` | Duration of the audio clip in seconds | |
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| `language` | Language of the audio content | |
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| `wav_path` | Path to the corresponding WAV file | |
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| `prompt0_wav_path`| Path to the WAV file used as a prompt | |
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| `style_feature` | Style features associated with the audio sample | |
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## README 🔥🔥🔥 |
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## Dataset Usage |
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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. |
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*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.* |
