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MixSNIPS

The MixSNIPS dataset is a large-scale dataset for spoken language understanding, containing 39,776 utterances for training, 2,198 utterances for validation, and 2,199 utterances for testing.

Data and Resources

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Cite this as

Alice Coucke, Alaa Saade, Adrien Ball, Th´eodore Bluche, Alexandre Caulier, David Leroy, Cl´ement Doumouro, Thibault Gisselbrecht, Francesco Calta-girone, Thibaut Lavril (2025). Dataset: MixSNIPS. https://doi.org/10.57702/nlz5iv1u

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Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2106.01925
Author Alice Coucke
More Authors
Alaa Saade
Adrien Ball
Th´eodore Bluche
Alexandre Caulier
David Leroy
Cl´ement Doumouro
Thibault Gisselbrecht
Francesco Calta-girone
Thibaut Lavril
Homepage https://github.com/LooperXX/AGIF