| --- |
| dataset_info: |
| features: |
| - name: audio |
| dtype: audio |
| - name: timestamps_start |
| sequence: float64 |
| - name: timestamps_end |
| sequence: float64 |
| - name: speakers |
| sequence: string |
| splits: |
| - name: dev |
| num_bytes: 2338411143 |
| num_examples: 216 |
| - name: test |
| num_bytes: 5015872396 |
| num_examples: 232 |
| download_size: 7296384603 |
| dataset_size: 7354283539 |
| configs: |
| - config_name: default |
| data_files: |
| - split: dev |
| path: data/dev-* |
| - split: test |
| path: data/test-* |
| tags: |
| - speaker diarization |
| - voice activity detection |
| license: cc-by-4.0 |
| language: |
| - en |
| --- |
| |
|
|
| # Dataset Card for the Voxconverse dataset |
|
|
| VoxConverse is an audio-visual diarisation dataset consisting of multispeaker clips of human speech, extracted from YouTube videos. Updates and additional information about the dataset can be found on the [dataset website](https://www.robots.ox.ac.uk/~vgg/data/voxconverse/index.html). |
|
|
| Note: This dataset has been preprocessed using [diarizers](https://github.com/huggingface/diarizers/tree/main/datasets). It makes the dataset compatible with diarizers to fine-tune [pyannote](https://huggingface.co/pyannote/segmentation-3.0) segmentation models. |
|
|
|
|
| # Example Usage |
|
|
| ``` |
| from datasets import load_dataset |
| ds = load_dataset("diarizers-community/voxconverse") |
| |
| print(ds) |
| ``` |
|
|
| gives: |
|
|
| ``` |
| DatasetDict({ |
| train: Dataset({ |
| features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'], |
| num_rows: 136 |
| }) |
| validation: Dataset({ |
| features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'], |
| num_rows: 18 |
| }) |
| test: Dataset({ |
| features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'], |
| num_rows: 16 |
| }) |
| }) |
| ``` |
|
|
| # Dataset source |
|
|
| - Homepage: https://www.robots.ox.ac.uk/~vgg/data/voxconverse/ |
| - Repository: https://github.com/joonson/voxconverse?tab=readme-ov-file |
| - Preprocessed using [diarizers](https://github.com/kamilakesbi/diarizers/tree/main/datasets) |
|
|
|
|
| # Citation |
|
|
| ``` |
| @article{chung2020spot, |
| title={Spot the conversation: speaker diarisation in the wild}, |
| author={Chung, Joon Son and Huh, Jaesung and Nagrani, Arsha and Afouras, Triantafyllos and Zisserman, Andrew}, |
| booktitle={Interspeech}, |
| year={2020} |
| } |
| ``` |
|
|
| # Contribution |
|
|
| Thanks to [@kamilakesbi](https://huggingface.co/kamilakesbi) and [@sanchit-gandhi](https://huggingface.co/sanchit-gandhi) for adding this dataset. |
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