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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: language |
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dtype: string |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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splits: |
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- name: train |
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num_bytes: 54665637580 |
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num_examples: 423 |
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download_size: 53917768734 |
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dataset_size: 54665637580 |
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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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license: cc-by-nc-sa-4.0 |
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language: |
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- multilingual |
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task_categories: |
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- audio-to-audio |
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- audio-classification |
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--- |
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|
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Jesus Dramas is a collection of religious audio dramas across 430 languages. In total, there is around 640 hours of audio. |
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It can be used for language identification, spoken language modelling, or speech representation learning. |
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This dataset includes the raw unsegmented audio in a 16kHz single channel format. Each audio drama can have multiple speakers, for both male and female voices. |
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It can be segmented into utterances with a voice activity detection (VAD) model such as this [one](https://github.com/wiseman/py-webrtcvad). |
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The original audio sources wwere crawled from [InspirationalFilms](https://www.inspirationalfilms.com/). |
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We use this corpus to train [XEUS](https://huggingface.co/espnet/xeus), a multilingual speech encoder for 4000+ languages. |
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For more details about the dataset and its usage, please refer to our [paper](). |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("espnet/jesus_dramas") |
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``` |
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Each example in the dataset has three fields: |
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|
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``` |
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{ |
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'id': the utterance id, |
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'language': the language name |
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'audio': the raw audio |
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} |
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``` |
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|
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## License and Acknowledgement |
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Jesus Dramas is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. |
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If you use this dataset, we ask that you cite our paper: |
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|
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``` |
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``` |
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And attribute the original creators of the data. |
