dolphin-r1

# Dolphin R1 🐬

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

[](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.

# 海豚R1 🐬

本数据集采用Apache-2.0开源协议，由Eric Hartford（https://huggingface.co/ehartford）与Cognitive Computations（https://huggingface.co/cognitivecomputations）精心打造

[](https://discord.gg/cognitivecomputations)
Discord社区：https://discord.gg/cognitivecomputations

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

## 赞助方致谢
谨向海豚R1项目的慷慨赞助方致以诚挚谢意——若无他们的支持，本数据集无法问世：
- [Dria](https://dria.co)（https://x.com/driaforall）：推理赞助方（基于DeepSeek）
- [Chutes](https://chutes.ai)（https://x.com/rayon_labs）：推理赞助方（基于Flash）
- [Crusoe Cloud](https://crusoe.ai/)：算力赞助方
- [Andreessen Horowitz](https://a16z.com/)：提供了启动海豚R1项目的资助[grant](https://a16z.com/supporting-the-open-source-ai-community/)

## 概述
本数据集包含80万条样本，其构成与用于训练DeepSeek-R1蒸馏模型的数据集高度相似。

### 数据集构成
- 30万条DeepSeek-R1推理样本
- 30万条Gemini 2.0 Flash Thinking推理样本
- 20万条海豚对话样本

本数据集旨在训练R1风格的推理模型。

搜集汇总

背景与挑战

背景概述

该数据集由Eric Hartford和Cognitive Computations策划，包含800k样本，用于训练R1风格的推理模型。其构成包括300k来自DeepSeek-R1的推理样本、300k来自Gemini 2.0 flash thinking的推理样本，以及200k Dolphin聊天样本。