---
title: DAG-Reasoning-DeepSeek-R1-0528
canonical_url: "https://www.modelscope.cn/datasets/sequelbox/DAG-Reasoning-DeepSeek-R1-0528"
md_url: "https://www.modelscope.cn/datasets/sequelbox/DAG-Reasoning-DeepSeek-R1-0528.md"
repository: sequelbox/DAG-Reasoning-DeepSeek-R1-0528
last_updated: 2025-07-29
license: "Apache License 2.0"
storage_size: "36 MB"
downloads: 336
stars: 0
---

# DAG-Reasoning-DeepSeek-R1-0528

> DAG-Reasoning-DeepSeek-R1-0528 - sequelbox 在 ModelScope 开源的数据集。Click here to support our open-source dataset and model releases!

sequelbox/DAG-Reasoning-DeepSeek-R1-0528 是 ModelScope 魔搭社区上的数据集，存储大小 36 MB，采用 Apache License 2.0 许可。

- **Repository**: sequelbox/DAG-Reasoning-DeepSeek-R1-0528
- **License**: Apache License 2.0
- **Storage size**: 36 MB
- **Downloads**: 336
- **Stars**: 0
- **Last updated**: 2025-07-29

Source: https://www.modelscope.cn/datasets/sequelbox/DAG-Reasoning-DeepSeek-R1-0528

---

**[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.