CoVoST 2 Dutch - English

Description

This dataset contains 10509 audio clips totalling 09:47:23 of audio in Dutch 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_nl_19629340.mp3	De sneeuwman is gesmolten.	The snowman has melted.	09a5cc157a7a6dd034b9863add815fd6728d0ef1e55cdf1fa74f21c420a5072f272c1df9b08f2d667f35915e9332f5c263f6e472ecf976bbc26abff844bab960
common_voice_nl_19629342.mp3	Winkeldiefstal kost winkeliers handenvol geld.	Shoplifting is costing shopkeepers a lot of money.	09a5cc157a7a6dd034b9863add815fd6728d0ef1e55cdf1fa74f21c420a5072f272c1df9b08f2d667f35915e9332f5c263f6e472ecf976bbc26abff844bab960
common_voice_nl_19629404.mp3	Is dat nu een serieuze vraag?	Is that a serious question?	09a5cc157a7a6dd034b9863add815fd6728d0ef1e55cdf1fa74f21c420a5072f272c1df9b08f2d667f35915e9332f5c263f6e472ecf976bbc26abff844bab960
common_voice_nl_19629435.mp3	Het is belangrijk om op tijd te komen.	It’s important to be on time.	09a5cc157a7a6dd034b9863add815fd6728d0ef1e55cdf1fa74f21c420a5072f272c1df9b08f2d667f35915e9332f5c263f6e472ecf976bbc26abff844bab960

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}
}