Papers › SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis
Pavel Efimov, Andrey Chertok, Leonid Boytsov, Pavel Braslavski
SberQuAD -- a large scale analog of Stanford SQuAD in the Russian language - is a valuable resource that has not been properly presented to the scientific community. We fill this gap by providing a description, a thorough analysis, and baseline experimental results.
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Question Answering | SberQuAD | DeepPavlov RuBERT | EM | 66.30+-0.24 | #1 of 3 | Archive leaderboard | report |
| Question Answering | SberQuAD | DeepPavlov RuBERT | F1 | 84.60+-0.11 | #1 of 3 | Archive leaderboard | report |
| Question Answering | SberQuAD | DeepPavlov multilingual BERT | EM | 64.35+-0.39 | #2 of 3 | Archive leaderboard | report |
| Question Answering | SberQuAD | DeepPavlov multilingual BERT | F1 | 83.39+-0.08 | #2 of 3 | Archive leaderboard | report |
| Question Answering | SberQuAD | DeepPavlov R-Net | EM | 60.62 | #3 of 3 | Archive leaderboard | report |
| Question Answering | SberQuAD | DeepPavlov R-Net | F1 | 80.04 | #3 of 3 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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