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Raiden-DeepSeek-R1

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魔搭社区2025-11-27 更新2025-07-12 收录
下载链接:
https://modelscope.cn/datasets/sequelbox/Raiden-DeepSeek-R1
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资源简介:
**[Click here to support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)** **Raiden-DeepSeek-R1** is a dataset containing creative-reasoning and analytic-reasoning responses, testing the limits of [DeepSeek R1's](https://huggingface.co/deepseek-ai/DeepSeek-R1) reasoning skills! This dataset contains: - 63k 'creative_content' and 'analytical_reasoning' prompts from [microsoft/orca-agentinstruct-1M-v1](https://huggingface.co/datasets/microsoft/orca-agentinstruct-1M-v1), with all responses generated by [deepseek-ai/DeepSeek-R1.](https://huggingface.co/deepseek-ai/DeepSeek-R1) - Responses demonstrate the reasoning capabilities of DeepSeek's 685b parameter R1 reasoning model. **Responses have not been filtered or edited at all:** the Raiden dataset strives to accurately represent the R1 model. Potential issues may include inaccurate answers and infinite thought loops. Raiden is presented as-is to be used at your discretion. Users should consider applying their own sub-filtering and manual examination of the dataset before use in training. Do as you will.

**[点击此处支持我们的开源数据集与模型发布!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)** **Raiden-DeepSeek-R1** 是一个涵盖创意推理与分析推理响应的数据集,用于评测[DeepSeek R1](https://huggingface.co/deepseek-ai/DeepSeek-R1)的推理能力极限! 本数据集包含以下内容: - 源自[microsoft/orca-agentinstruct-1M-v1](https://huggingface.co/datasets/microsoft/orca-agentinstruct-1M-v1)的63k条「创意内容(creative_content)」与「分析推理(analytical_reasoning)」提示词,所有响应均由[deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1)生成。 - 生成的响应充分展现了DeepSeek 6850亿参数R1推理模型的推理能力。 **所有响应均未经过任何过滤或编辑**:Raiden数据集旨在精准还原DeepSeek R1模型的原始表现。本数据集可能存在答案不准确、无限思维循环等潜在问题,将以原始状态提供,供使用者自主决定使用方式。 使用者在将该数据集用于模型训练前,应考虑自行进行二次筛选与人工审核。 请按需使用。
提供机构:
maas
创建时间:
2025-07-10
搜集汇总
数据集介绍
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背景与挑战
背景概述
Raiden-DeepSeek-R1数据集包含6.3万条创意推理和分析推理提示的响应,这些响应由DeepSeek R1 6850亿参数模型生成,旨在测试其推理能力。数据集未经过滤,可能存在不准确答案或无限循环问题,建议用户在使用前进行筛选。
以上内容由遇见数据集搜集并总结生成
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