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mlx-community/Intermediate-Thinking-130k

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Hugging Face2025-08-13 更新2025-09-13 收录
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https://hf-mirror.com/datasets/mlx-community/Intermediate-Thinking-130k
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Intermediate-Thinking-130k是一个包含135,000个高质量样本的综合数据集,设计用于通过结构化的中间思考过程提升语言模型的推理能力。该数据集能够训练和评估模型在42种语言中的高级自我校正和迭代推理能力,解决了当前语言模型在生成响应时无法暂停、反思和改进推理的基本局限性。

Intermediate-Thinking-130k is a comprehensive dataset of 135,000 high-quality samples designed to advance language model reasoning capabilities through structured intermediate thinking processes. This dataset enables training and evaluation of models with sophisticated self-correction and iterative reasoning abilities across 42 languages, addressing the fundamental limitation of current language models in their inability to pause, reflect, and refine reasoning during response generation.
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