MEGA XStoryCloze
XStoryCloze as part of the MEGA benchmark suite. A cross-lingual story completion task that consists of professionally translated versions of the English StoryCloze dataset to 10 non-English languages. Requires models to predict the correct ending for a given four-sentence story, evaluating commonsense reasoning and narrative understanding.
Phi-3.5-MoE-instruct from Microsoft currently leads the MEGA XStoryCloze leaderboard with a score of 0.828 across 2 evaluated AI models.
Phi-3.5-MoE-instruct leads with 82.8%, followed by Phi-3.5-mini-instruct at 73.5%.
Progress Over Time
Interactive timeline showing model performance evolution on MEGA XStoryCloze
MEGA XStoryCloze Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | 60B | — | — | ||
| 2 | Microsoft | 4B | 128K | $0.10 / $0.10 |
FAQ
Common questions about MEGA XStoryCloze.
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