DES-Reasoning-DeepSeek-V3.1
收藏魔搭社区2025-12-05 更新2025-09-13 收录
下载链接:
https://modelscope.cn/datasets/sequelbox/DES-Reasoning-DeepSeek-V3.1
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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)**
**DES-Reasoning-DeepSeek-V3.1** is a dataset focused on analysis and reasoning, creating discrete event simulations testing the limits of [DeepSeek V3.1's](https://huggingface.co/deepseek-ai/DeepSeek-V3.1) simulation, Python scripting, and analysis skills!
This dataset contains:
- 4.03k synthetically generated prompts to create discrete event simulations and analysis chat in response to user input, with all responses generated using [DeepSeek V3.1.](https://huggingface.co/deepseek-ai/DeepSeek-V3.1)
- All responses contain a multi-step thinking process to create a simulation and analysis strategy, followed by a user response that contains a SimPy Python script as immediate output in the AI response for the user to consume followed by suggestions for further analysis. The graph utilizes our DES Reasoning Format - easily readable and modifiable SimPy code followed by analysis in chat format.
- DES prompts utilize a variety of subjects to maximize general performance; prompt subjects include programming, science, business, economics, energy, finance, law, logistics, management, manufacturing, operations, supply chain, and a variety of others.
- Responses demonstrate the reasoning capabilities of DeepSeek's V3.1 reasoning skills, while providing a finetuning dataset for DES Reasoning Format.
The DES Reasoning dataset is an experimental reasoning modality. DES 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)**
**DES-Reasoning-DeepSeek-V3.1** 是一款聚焦于分析与推理的数据集,旨在构建离散事件仿真(discrete event simulation),以测试DeepSeek V3.1(https://huggingface.co/deepseek-ai/DeepSeek-V3.1)的仿真、Python脚本编写与分析能力!
本数据集包含:
- 4030条合成生成的提示词,用于创建离散事件仿真与分析对话以响应用户输入,所有回复均由DeepSeek V3.1(https://huggingface.co/deepseek-ai/DeepSeek-V3.1)生成。
- 所有回复均包含用于构建仿真与分析策略的多步思考流程,随后的AI回复中会直接嵌入SimPy Python脚本作为即时输出供用户使用,并附带进一步分析建议。该数据集采用自研的DES推理格式(DES Reasoning Format)——即易读且可修改的SimPy代码,后接对话格式的分析内容。
- DES提示词涵盖多样化主题以最大化泛化性能,涉及编程、科学、商业、经济学、能源、金融、法律、物流、管理、制造、运营、供应链等多个领域。
- 回复可充分展现DeepSeek V3.1的推理能力,同时可作为DES推理格式的微调数据集使用。
DES Reasoning数据集是一种实验性的推理模态,以现状提供,供用户自行决定使用方式。
用户在将该数据集用于训练前,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:
2025-09-05
搜集汇总
数据集介绍

背景与挑战
背景概述
DES-Reasoning-DeepSeek-V3.1是一个专注于分析和推理的数据集,旨在通过离散事件模拟测试DeepSeek V3.1的模拟、Python脚本和分析能力。它包含4.03k个合成生成的提示,响应采用多步思考过程并生成SimPy代码,覆盖编程、科学、商业等多个主题,用于展示推理技能并作为微调数据。用户在使用前应自行筛选和检查数据集。
以上内容由遇见数据集搜集并总结生成



