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--- |
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license: other |
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language: |
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- ja |
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size_categories: |
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- 1M<n<10M |
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extra_gated_prompt: "You agree that you will use the dataset solely for the purpose of JAPANESE COPYRIGHT ACT ARTICLE 30-4" |
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--- |
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J-CHAT is a Japanese large-scale dialogue speech corpus. |
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For the detailed explanation, please see our [paper](https://arxiv.org/abs/2407.15828) |
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# Disclaimer |
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TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4. |
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# How can I use this data for commercial purposes? |
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Commercial use is not admitted. ~~If you want to use this data for commercial purposes, Please build one by yourself. |
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Corpus construction programs are distributed on [Github](https://github.com/sarulab-speech/J-CHAT)~~ |
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The Github repo isn't ready yet. But we will be releasing the code soon. Stay tuned!! |
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# How to use |
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## Requirements |
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The dataet loading will require following python libraries. |
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* [lhotse](https://github.com/lhotse-speech/lhotse) |
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* [webdataset](https://github.com/webdataset/webdataset) |
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## loading dataset |
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Please see the following to load the dataset as `lhotse.CutSet` |
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```python |
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import lhotse |
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# change the following line to the subset and the data domain you like. |
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# For data domain the options are youtube and podcast. |
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# For subset, train, valid, test, others are available. |
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# For instance, if you want to get data from youtube test set. the filepath would be filelists/yotube_test.txt |
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with open("filelists/podcast_train.txt") as f: |
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urls = f.read().splitlines() |
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cutset = lhotse.CutSet.from_webdataset(urls) |
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``` |
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For the info about `lhotse.CutSet` please see the [lhotse documentation](https://lhotse.readthedocs.io/en/latest/) |
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# LICENSE |
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CC-BY-NC 4.0 |
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TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4. |
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# Contact |
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We have ensured that our dataset does not infringe on any rights of the original data holders. |
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However, if you wish to request the removal of your data from the dataset, please feel free to contact us at the email address below: |
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shinnosuke_takamichi [*at*] keio.jp |
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# Other resources |
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* [Speech samples generated with dGSLM trained on J-CHAT](https://sarulab-speech.github.io/j-chat/dgslm_speech_sample/) |
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* [dGSLM model weights](https://github.com/sarulab-speech/j-chat/tree/master/weights) |
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# Contributors |
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* [Wataru Nakata/中田 亘](https://wataru-nakata.github.io) |
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* [Kentaro Seki/関 健太郎](https://trgkpc.github.io/) |
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* [Hitomi Yanaka/谷中 瞳](https://hitomiyanaka.mystrikingly.com/) |
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* [Yuki Saito/齋藤 佑樹](https://sython.org/) |
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* [Shinnosuke Takamichi/高道 慎之介](https://sites.google.com/site/shinnosuketakamichi/home) |
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* [Hiroshi Saruwatari/猿渡 洋](https://researchmap.jp/read0102891) |
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# 謝辞/acknowledgements |
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本研究は、国立研究開発法人産業技術総合研究所事業の令和5年度覚醒プロジェクトの助成を受けたものです。 |
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/This work was supported by AIST KAKUSEI project (FY2023). |
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