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license: cc-by-3.0 |
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--- |
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Updates |
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- 2024/07/09: we also uploaded a new version of YODAS as [YODAS2](https://huggingface.co/datasets/espnet/yodas2), it provides unsegmented audios and higher sampling rate (24k) |
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## README |
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This is the YODAS manual/automatic subset from our YODAS dataset, it has 369,510 hours of speech. |
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This dataset contains audio utterances and corresponding captions (manual or automatic) from YouTube. Note that manual caption only indicates that it is uploaded by users, but not necessarily transcribed by a human |
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For more details about YODAS dataset, please refer to [our paper](https://arxiv.org/abs/2406.00899) |
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## Usage: |
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Considering the extremely large size of the entire dataset, we support two modes of dataset loadings: |
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**standard mode**: each subset will be downloaded to the local dish before first iterating. |
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```python |
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from datasets import load_dataset |
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# Note this will take very long time to download and preprocess |
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# you can try small subset for testing purpose |
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ds = load_dataset('espnet/yodas', 'en000') |
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print(next(iter(ds['train']))) |
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``` |
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**streaming mode** most of the files will be streamed instead of downloaded to your local deivce. It can be used to inspect this dataset quickly. |
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```python |
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from datasets import load_dataset |
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# this streaming loading will finish quickly |
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ds = load_dataset('espnet/yodas', 'en000', streaming=True) |
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#{'id': '9774', 'utt_id': 'YoRjzEnRcqu-00000-00000716-00000819', 'audio': {'path': None, 'array': array([-0.009552 , -0.01086426, -0.012146 , ..., -0.01992798, |
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# -0.01885986, -0.01074219]), 'sampling_rate': 16000}, 'text': 'There is a saying'} |
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print(next(iter(ds['train']))) |
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``` |
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## Subsets/Shards |
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There are 149 languages in this dataset, each language is sharded into at least 1 shard to make it easy for our processing and uploading purposes. The raw data of each shard contains 500G at most. |
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Statistics of each shard can be found in the last section. |
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We distinguish manual caption subset and automatic caption subset by the first digit in each shard's name. The first digit is 0 if it contains manual captions, 1 if it contains automatic captions. |
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For example, `en000` to `en005` are the English shards containing manual subsets, and `en100` to `en127` contains the automatic subsets. |
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## Reference |
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``` |
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@inproceedings{li2023yodas, |
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title={Yodas: Youtube-Oriented Dataset for Audio and Speech}, |
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author={Li, Xinjian and Takamichi, Shinnosuke and Saeki, Takaaki and Chen, William and Shiota, Sayaka and Watanabe, Shinji}, |
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booktitle={2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)}, |
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pages={1--8}, |
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year={2023}, |
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organization={IEEE} |
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} |
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``` |
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## Contact |
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If you have any questions, feel free to contact us at the following email address. |
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We made sure that our dataset only consisted of videos with CC licenses during our downloading. But in case you find your video unintentionally included in our dataset and would like to delete it, you can send a delete request to the following email. |
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Remove the parenthesis `()` from the following email address |
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`(lixinjian)(1217)@gmail.com` |
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## Statistics |
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Note that there are no overlappings across different subsets, each audio can be included in the dataset at most once. |
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| Subset name | Hours | |
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|------|--------| |
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|aa000|0.171472| |
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|ab000|0.358342| |
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|af000|0.880497| |
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|ak000|0.250858| |
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|am000|0.924708| |
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|ar000|289.707| |
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|as000|0.548239| |
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|ay000|0.0342722| |
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|az000|3.8537| |
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|ba000|0.0210556| |
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|be000|48.1537| |
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|bg000|46.8375| |
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|bh000|0.0127111| |
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|bi000|0.0125556| |
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|bm000|0.00214722| |
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|bn000|27.064| |
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|bo000|0.746211| |
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|br000|0.729914| |
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|bs000|9.36959| |
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|ca000|74.1909| |
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|co000|0.0418639| |
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|cr000|0.00584167| |
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|cs000|167.604| |
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|cy000|5.20017| |
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|da000|27.4345| |
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|de000|3063.81| |
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|de100|4998.11| |
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|de101|4995.08| |
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|de102|955.389| |
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|dz000|0.06365| |
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|ee000|0.0411722| |
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|el000|126.75| |
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|en000|4999.73| |
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|en001|5032.69| |
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|en002|5039.9| |
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|en003|5001.4| |
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|en004|5054.66| |
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|en005|4027.02| |
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|en100|5147.07| |
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|en101|5123.05| |
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|en102|5117.68| |
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|en103|5127.3| |
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|en104|5126.33| |
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|en105|5097.65| |
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|en106|5131.47| |
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|en107|5135.6| |
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|en108|5136.84| |
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|en109|5112.94| |
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|en110|5109| |
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|en111|5118.69| |
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|en112|5122.57| |
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|en113|5122.31| |
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|en114|5112.36| |
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|en115|5112.27| |
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|en116|5123.77| |
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|en117|5117.31| |
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|en118|5117.94| |
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|en119|5133.05| |
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|en120|5127.79| |
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|en121|5129.08| |
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|en122|5130.22| |
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|en123|5097.56| |
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|en124|5116.59| |
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|en125|5109.76| |
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|en126|5136.21| |
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|en127|2404.89| |
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|eo000|12.6874| |
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|es000|3737.86| |
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|es100|5125.25| |
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|es101|5130.44| |
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|es102|5145.66| |
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|es103|5138.26| |
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|es104|5139.57| |
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|es105|5138.95| |
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|es106|2605.26| |
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|et000|14.4129| |
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|eu000|19.6356| |
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|fa000|42.6734| |
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|ff000|0.0394972| |
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|fi000|212.899| |
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|fj000|0.0167806| |
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|fo000|0.183244| |
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|fr000|2423.7| |
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|fr100|5074.93| |
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|fr101|5057.79| |
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|fr102|5094.14| |
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|fr103|3222.95| |
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|fy000|0.0651667| |
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|ga000|1.49252| |
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|gd000|0.01885| |
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|gl000|9.52575| |
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|gn000|0.181356| |
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|gu000|1.99355| |
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|ha000|0.102931| |
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|hi000|480.79| |
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|hi100|2.74865| |
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|ho000|0.0562194| |
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|hr000|25.9171| |
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|ht000|1.07494| |
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|hu000|181.763| |
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|hy000|1.64412| |
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|ia000|0.0856056| |
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|id000|1420.09| |
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|id100|4902.79| |
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|id101|3560.82| |
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|ie000|0.134603| |
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|ig000|0.086875| |
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|ik000|0.00436667| |
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|is000|5.07075| |
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|it000|1454.98| |
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|it100|4989.62| |
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|it101|4242.87| |
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|iu000|0.0584278| |
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|iw000|161.373| |
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|ja000|1094.18| |
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|ja100|2929.94| |
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|jv000|1.08701| |
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|ka000|26.9727| |
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|ki000|0.000555556| |
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|kk000|3.72081| |
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|kl000|0.00575556| |
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|km000|3.98273| |
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|kn000|2.36041| |
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|ko000|2774.28| |
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|ko100|5018.29| |
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|ko101|5048.49| |
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|ko102|5018.27| |
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|ko103|2587.85| |
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|ks000|0.0150444| |
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|ku000|1.93419| |
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|ky000|14.3917| |
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|la000|7.26088| |
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|lb000|0.1115| |
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|lg000|0.00386111| |
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|ln000|0.188739| |
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|lo000|0.230986| |
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|lt000|17.6507| |
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|lv000|2.47671| |
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|mg000|0.169653| |
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|mi000|1.10089| |
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|mk000|5.54236| |
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|ml000|13.2386| |
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|mn000|2.0232| |
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|mr000|7.11602| |
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|ms000|28.0219| |
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|my000|2.35663| |
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|na000|0.0397056| |
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|nd000|0.00111111| |
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|ne000|2.34936| |
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|nl000|413.044| |
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|nl100|2490.13| |
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|no000|129.183| |
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|nv000|0.00319444| |
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|oc000|0.166108| |
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|om000|0.148478| |
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|or000|0.421436| |
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|pa000|1.58188| |
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|pl000|757.986| |
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|ps000|0.9871| |
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|pt000|1631.44| |
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|pt100|5044.57| |
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|pt101|5038.33| |
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|pt102|5041.59| |
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|pt103|3553.28| |
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|qu000|0.748772| |
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|rm000|0.192933| |
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|rn000|0.00401111| |
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|ro000|99.9175| |
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|ru000|4968.37| |
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|ru001|627.679| |
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|ru100|5098.3| |
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|ru101|5098| |
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|ru102|5119.43| |
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|ru103|5107.29| |
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|ru104|5121.73| |
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|ru105|5088.05| |
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|ru106|3393.44| |
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|rw000|0.640825| |
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|sa000|0.354139| |
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|sc000|0.00801111| |
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|sd000|0.0768722| |
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|sg000|0.000472222| |
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|sh000|0.250914| |
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|si000|4.2634| |
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|sk000|30.0155| |
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|sl000|22.9366| |
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|sm000|0.102333| |
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|sn000|0.0134722| |
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|so000|3.36819| |
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|sq000|3.48276| |
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|sr000|15.2849| |
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|st000|0.00324167| |
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|su000|0.0404639| |
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|sv000|127.411| |
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|sw000|1.93409| |
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|ta000|59.4805| |
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|te000|5.66794| |
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|tg000|0.272386| |
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|th000|497.14| |
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|th100|1.87429| |
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|ti000|0.343897| |
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|tk000|0.0651806| |
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|tn000|0.112181| |
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|to000|0.000555556| |
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|tr000|588.698| |
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|tr100|4067.68| |
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|ts000|0.00111111| |
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|tt000|0.0441194| |
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|ug000|0.0905| |
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|uk000|396.598| |
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|uk100|450.411| |
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|ur000|22.4373| |
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|uz000|5.29325| |
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|ve000|0.00355278| |
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|vi000|779.854| |
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|vi100|4963.77| |
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|vi101|4239.37| |
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|vo000|0.209436| |
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|wo000|0.0801528| |
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|xh000|0.126628| |
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|yi000|0.0810111| |
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|yo000|0.322206| |
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|zh000|299.368| |
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|zu000|0.139931| |
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