---
title: dolphin-r1
canonical_url: "https://www.modelscope.cn/datasets/AI-ModelScope/dolphin-r1"
md_url: "https://www.modelscope.cn/datasets/AI-ModelScope/dolphin-r1.md"
repository: AI-ModelScope/dolphin-r1
chinese_name: dolphin-r1
last_updated: 2025-01-31
license: "Apache License 2.0"
storage_size: "8.2 GB"
downloads: 1697
stars: 3
---

# dolphin-r1

> dolphin-r1 - AI-ModelScope 在 ModelScope 开源的数据集。An Apache-2.0 dataset curated by Eric Hartford and Cognitive Computations

AI-ModelScope/dolphin-r1 是 ModelScope 魔搭社区上的数据集，存储大小 8.2 GB，采用 Apache License 2.0 许可。

- **Repository**: AI-ModelScope/dolphin-r1
- **License**: Apache License 2.0
- **Storage size**: 8.2 GB
- **Downloads**: 1697
- **Stars**: 3
- **Last updated**: 2025-01-31

Source: https://www.modelscope.cn/datasets/AI-ModelScope/dolphin-r1

---

# Dolphin R1 🐬

An Apache-2.0 dataset curated by [Eric Hartford](https://huggingface.co/ehartford) and [Cognitive Computations](https://huggingface.co/cognitivecomputations)

[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations)
Discord: https://discord.gg/cognitivecomputations

<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/hdAvdwZiJaLbGmvSZ3wTT.png" width="600" />

## Sponsors
Our appreciation for the generous sponsors of Dolphin R1 - Without whom this dataset could not exist.
- [Dria](https://dria.co) https://x.com/driaforall - Inference Sponsor (DeepSeek)
- [Chutes](https://chutes.ai) https://x.com/rayon_labs - Inference Sponsor (Flash)
- [Crusoe Cloud](https://crusoe.ai/) - Compute Sponsor
- [Andreessen Horowitz](https://a16z.com/) - provided the [grant](https://a16z.com/supporting-the-open-source-ai-community/) that originally launched Dolphin

## Overview

We create a 800k sample dataset similar in composition to the one used to train DeepSeek-R1 Distill models.

### Dataset Composition

- 300k reasoning samples from DeepSeek-R1
- 300k reasoning samples from Gemini 2.0 flash thinking
- 200k samples of Dolphin chat.

The purpose of this dataset is to train R1-style reasoning models.