---
title: R1-Distill-SFT
canonical_url: "https://www.modelscope.cn/datasets/ServiceNow-AI/R1-Distill-SFT"
md_url: "https://www.modelscope.cn/datasets/ServiceNow-AI/R1-Distill-SFT.md"
repository: ServiceNow-AI/R1-Distill-SFT
last_updated: 2025-02-09
license: "Apache License 2.0"
storage_size: "11 GB"
downloads: 7581
stars: 4
---

# R1-Distill-SFT

> R1-Distill-SFT - ServiceNow-AI 在 ModelScope 开源的数据集。🔉 𝗦𝗟𝗔𝗠 𝗹𝗮𝗯 - 𝗥𝟭-𝗗𝗶𝘀𝘁𝗶𝗹𝗹-𝗦𝗙𝗧 Dataset

ServiceNow-AI/R1-Distill-SFT 是 ModelScope 魔搭社区上的数据集，存储大小 11 GB，采用 Apache License 2.0 许可。

- **Repository**: ServiceNow-AI/R1-Distill-SFT
- **License**: Apache License 2.0
- **Storage size**: 11 GB
- **Downloads**: 7581
- **Stars**: 4
- **Last updated**: 2025-02-09

Source: https://www.modelscope.cn/datasets/ServiceNow-AI/R1-Distill-SFT

---

# 🔉 𝗦𝗟𝗔𝗠 𝗹𝗮𝗯 - 𝗥𝟭-𝗗𝗶𝘀𝘁𝗶𝗹𝗹-𝗦𝗙𝗧 Dataset

Lewis Tunstall, Ed Beeching, Loubna Ben Allal, Clem Delangue 🤗  and others at Hugging Face announced today that they are - 𝗼𝗽𝗲𝗻𝗹𝘆 𝗿𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗥𝟭 🔥 

We at 𝗦𝗟𝗔𝗠 𝗹𝗮𝗯 (ServiceNow Language Models) have been cooking up something as well. 

Inspired by Open-r1, we have decided to open source the data **stage-by-stage** to support the open source community.

𝗕𝗼𝗼𝗸𝗺𝗮𝗿𝗸 this page!


**KEY DETAILS**:
- ⚗️ Distilled with DeepSeek-R1-32b
- 📕  Generated using Numina-math and Tulu
- 🌡️ Sampled one response per prompt


# 𝗦𝗖𝗛𝗘𝗗𝗨𝗟𝗘:

- 🆕  [27 Jan] Release seed set of 170,000 samples
- 🛑  [28 Jan] Release the unfiltered / unverified dataset ~ 2 million samples 
- 🟢  [TBD] Filtered and verified version to follow shortly after
- 🏁  [TBD] SFT Models released





**If you use our dataset, please cite us!**

```
@misc{slam-distillation-from-r1,  
    author = {Sathwik Tejaswi Madhusudhan and Shruthan Radhakrishna and Jash Mehta and Toby Liang},  
    title = {Millions scale dataset distilled from R1-32b},  
    howpublished = {https://huggingface.co/datasets/ServiceNow-AI/R1-Distill-SFT},
    publisher = {SLAM - ServiceNow Language Models Lab}  
    year = {2025}
}
```