DAG-Reasoning-DeepSeek-R1-0528
收藏魔搭社区2025-11-27 更新2025-08-02 收录
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https://modelscope.cn/datasets/sequelbox/DAG-Reasoning-DeepSeek-R1-0528
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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)**
**DAG-Reasoning-DeepSeek-R1-0528** is a dataset focused on analysis and reasoning, creating directed acyclic graphs testing the limits of [DeepSeek R1 0528's](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528) graph-reasoning skills!
This dataset contains:
- 4.08k synthetically generated prompts to create directed acyclic graphs in response to user input, with all responses generated using [DeepSeek R1 0528.](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528)
- All responses contain a multi-step thinking process to perform effective analysis, followed by a user response that contains the DAG as immediate output in the AI response for the user to consume. The graph utilizes our DAG Reasoning Format - nodes, edges, and graph_metadata in JSON format.
- DAG prompts utilize a variety of subjects to maximize general performance; prompt subjects include programming, science, business, economics, finance, law, logistics, management, and a variety of others.
- Responses demonstrate the reasoning capabilities of DeepSeek's R1-0528 reasoning model, while providing a finetuning dataset for DAG Reasoning Format.
The DAG Reasoning dataset is an experimental reasoning modality. DAG Reasoning 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)**
**DAG-Reasoning-DeepSeek-R1-0528** 是一款聚焦分析与推理的数据集,旨在构建有向无环图(Directed Acyclic Graph,DAG)以测试[DeepSeek R1 0528](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528)的图推理能力边界!
本数据集包含以下内容:
- 4080条合成生成的提示词,用于根据用户输入生成有向无环图,所有回复均由DeepSeek R1 0528生成。
- 所有回复均包含多步思考流程以执行有效分析,随后在AI回复中直接输出包含有向无环图的内容供用户使用。该图采用我们制定的DAG推理格式——以JSON格式存储节点(nodes)、边(edges)与图元数据(graph_metadata)。
- DAG提示词覆盖多类主题以最大化模型的通用性能,涉及编程、科学、商业、经济学、金融学、法学、物流学、管理学等多个领域。
- 该数据集既可展示DeepSeek R1-0528推理模型的推理能力,也可作为DAG推理格式的微调数据集。
本DAG推理数据集属于实验性推理模态,仅以当前状态提供,供使用者自行酌情使用。
使用者在将该数据集用于模型训练前,应考虑自行进行子筛选与人工审核。
可自由使用。
提供机构:
maas
创建时间:
2025-07-29



