Datasets:
Update dataset card
Browse filesThis PR updates the dataset card to include the paper link and change the task category to `question-answering`.
README.md
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license: mit
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task_categories:
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- text-generation
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language:
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- en
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- zh
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tags:
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- LRM
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- System1
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- fast-thinking
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pretty_name: S1-Bench
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size_categories:
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- n<1K
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---
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The benchmark constructed in paper
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S1-Bench is a novel benchmark designed to evaluate Large Reasoning Models' performance on simple tasks that favor intuitive *system 1* thinking rather than deliberative *system 2* reasoning.
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S1-Bench comprises 422 question-answer pairs across four major categories and 28 subcategories, balanced with 220 English and 202 Chinese questions.
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---
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language:
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- en
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- zh
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license: mit
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size_categories:
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- n<1K
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task_categories:
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- question-answering
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pretty_name: S1-Bench
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tags:
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- LRM
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- System1
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- fast-thinking
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The benchmark constructed in paper [S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models](https://huggingface.co/papers/2504.10368).
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S1-Bench is a novel benchmark designed to evaluate Large Reasoning Models' performance on simple tasks that favor intuitive *system 1* thinking rather than deliberative *system 2* reasoning.
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S1-Bench comprises 422 question-answer pairs across four major categories and 28 subcategories, balanced with 220 English and 202 Chinese questions.
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