CLUEWSC
CLUEWSC2020 is the Chinese version of the Winograd Schema Challenge, part of the CLUE benchmark. It focuses on pronoun disambiguation and coreference resolution, requiring models to determine which noun a pronoun refers to in a sentence. The dataset contains 1,244 training samples and 304 development samples extracted from contemporary Chinese literature.
Kimi-k1.5 from Moonshot AI currently leads the CLUEWSC leaderboard with a score of 0.914 across 3 evaluated AI models.
Kimi-k1.5 leads with 91.4%, followed by 
DeepSeek-V3 at 90.9% and 
ERNIE 4.5 at 48.6%.
Progress Over Time
Interactive timeline showing model performance evolution on CLUEWSC
CLUEWSC Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | — | — | — | ||
| 2 |  DeepSeek | 671B | 131K | $0.27 / $1.10 | ||
| 3 | Baidu | 21B | 128K | $0.40 / $4.00 |
FAQ
Common questions about CLUEWSC.
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