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

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

DOI retrieved: January 2, 2025

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