Translated ARC-Challenge, HellaSwag and MMLU (Mistral)
Models answer French, German, Spanish and Italian versions of ARC-Challenge, HellaSwag and MMLU.
The Mixtral paper does not name the translation source and gives no average.
- Made by
- Mistral AI
- Released
- January 2024
- Kind
- Knowledge in many languages
- Level
- School
- Scored
- Checked automatically
- Answers
- Multiple choice
- Last in a system card
- January 2024
- Last model added
- January 2024
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Translated ARC-Challenge, HellaSwag and MMLU (Mistral) yet.
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jan 8, 2024 |  Mixtral 8x7B technical report | Multilingual Arc-c / HellaS / MMLU: French 58.2/77.4/70.9, German 54.3/73.0/71.5, Spanish 55.4/77.6/72.5, Italian 52.8/75.1/70.9 (Table 4), no average | Capabilities |
More in Multilingual
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K-EXAONE 90.5% - MMLU-ProX In use MMLU-Pro translated into up to 29 languages with expert review. Multiple-choice accuracy per language.
Qwen3.7-Max 87% - CLIcK In use Models answer 1,995 multiple-choice questions on Korean language and culture. Questions come from official Korean exams and textbooks in eleven categories.
Solar Open 2 90.7% - Global MMLU Lite 3.0 In use Models answer 400 human-translated MMLU questions per language in 23 languages. Version 3.0 adds Czech, Hungarian, Oriya, Slovak and Tajik and updates Italian. Accuracy.
Nemotron 3 Ultra 550B-A55B Base 90.1% - MMMB In use Models answer multiple-choice questions about images in six languages across 15 categories. The set has about 12,000 questions. LFM2.5-VL-3B 83%