CoVoST 2 Russian - English

Description

This dataset contains 24525 audio clips totalling 35:13:29 of audio in Russian with the corresponding translations in English.

Background

End-to-end speech-to-text translation (ST) has recently witnessed an increased interest given its system simplicity, lower inference latency and less compounding errors compared to cascaded ST (i.e. speech recognition + machine translation). End-to-end ST model training, however, is often hampered by the lack of parallel data. Thus, we created CoVoST, a large-scale multilingual ST corpus based on Common Voice, to foster ST research with the largest ever open dataset. Its latest version covers translations from English into 15 languages---Arabic, Catalan, Welsh, German, Estonian, Persian, Indonesian, Japanese, Latvian, Mongolian, Slovenian, Swedish, Tamil, Turkish, Chinese---and from 21 languages into English, including the 15 target languages as well as Spanish, French, Italian, Dutch, Portuguese, Russian. It has total 2,880 hours of speech and is diversified with 78K speakers.

Fields

• path: Filename of the audio file

• sentence: The sentence in the source language

• translation: The sentence in the target language

• client_id: The ID of the speaker of the source language, used for maintaining hygiene in the splits.

Example

path	sentence	translation	client_id
common_voice_ru_19793729.mp3	Успех наших усилий неразрывно связан с мобилизацией финансовых и людских ресурсов.	The success of our endeavours is inextricably linked with the mobilization financial and human resources.	9042795c235aec45758ff959be5088879033c8d9ee0dcaa7e3ed42a57f23c32065eb8e96947ccaa428e324d670cecc0fdd079a1e62c6afc7f2b3dbc059afdc60
common_voice_ru_19793731.mp3	Выпьем за сделку.	Let’s have a drink to celebrate the deal.	9042795c235aec45758ff959be5088879033c8d9ee0dcaa7e3ed42a57f23c32065eb8e96947ccaa428e324d670cecc0fdd079a1e62c6afc7f2b3dbc059afdc60
common_voice_ru_19793733.mp3	Бесконечное повторение наших национальных позиций никуда нас не приведет.	The constant repetition of our national positions will not get us anywhere.	9042795c235aec45758ff959be5088879033c8d9ee0dcaa7e3ed42a57f23c32065eb8e96947ccaa428e324d670cecc0fdd079a1e62c6afc7f2b3dbc059afdc60
common_voice_ru_19793737.mp3	Поскольку позиция нашей делегации хорошо известна, позвольте мне лишь кратко суммировать ее основные элементы.	Since the position of my delegation is well known, let me just briefly recap its main elements.	9042795c235aec45758ff959be5088879033c8d9ee0dcaa7e3ed42a57f23c32065eb8e96947ccaa428e324d670cecc0fdd079a1e62c6afc7f2b3dbc059afdc60

Splits

Citation

If you use this dataset in your work please cite

@misc{wang2020covost,
    title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},
    author={Changhan Wang and Anne Wu and Juan Pino},
    year={2020},
    eprint={2007.10310},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}