Benchmark
CommonSenseQA
reasoning
language
text
CommonSenseQA is a multiple-choice question answering dataset that requires different types of commonsense knowledge to predict correct answers. It contains 12,102 questions with one correct answer and four distractors, designed to test semantic reasoning and conceptual relationships. Questions are created based on ConceptNet concepts and require prior world knowledge for accurate reasoning.
语言EN
满分1
参评模型1
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Mistral NeMo Instruct | Mistral AI | 70.4 | 来源 ↗ |