DISLab/SumFeed-CoT
收藏Hugging Face2026-01-29 更新2025-12-20 收录
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https://hf-mirror.com/datasets/DISLab/SumFeed-CoT
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资源简介：
SumFeed-CoT是一个基于Long-CoT的大规模数据集，专为训练ReFeed模型而设计。ReFeed是一个通过反思推理进行多维度摘要精炼的模型。该数据集旨在通过反思推理优化摘要精炼模型的训练，适用于自然语言处理中的摘要任务。数据集包含系统、对话、消息和文本等特征，主要用于训练和优化摘要精炼模型。
SumFeed-CoT is a large-scale dataset based on Long-CoT, designed for training ReFeed, a multi-dimensional summarization refinement model through reflective reasoning. The dataset is optimized for training a summary refinement model with reflective reasoning, suitable for summarization tasks in natural language processing. It includes features such as system, conversation, messages, and text, primarily used for training and optimizing summary refinement models.
提供机构：
DISLab
