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RuBQ 2.0

The RuBQ 2.0 dataset is a large-scale, complex, and natural dataset for end-to-end question answering, composed of 10,000 question-answer pairs.

Data and Resources

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Cite this as

Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko (2025). Dataset: RuBQ 2.0. https://doi.org/10.57702/5jp66o2j

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2310.02166
Author Mikhail Salnikov
More Authors
Hai Le
Prateek Rajput
Irina Nikishina
Pavel Braslavski
Valentin Malykh
Alexander Panchenko