datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
math-code-science-deepseek-r1-en
R1 Dataset Collection
Aggregated high-quality English prompts and model-generated responses from DeepSeek R1 and DeepSeek R1-0528.
Dataset Summary
The R1 Dataset Collection combines multiple public DeepSeek-generated instruction-response corpora into a single, cleaned, English-only JSONL file. Each example consists of a <|user|> prompt and a <|assistant|> response in one "text" field. This release includes:
~21,000 examples from the DeepSeek-R1-0528 Distilled Custom… See the full description on the dataset page: https://huggingface.co/datasets/Hugodonotexit/math-code-science-deepseek-r1-en.Chinese-DeepSeek-R1-Distill-data-110k
中文基于满血DeepSeek-R1蒸馏数据集（Chinese-Data-Distill-From-R1）
🤗 Hugging Face | 🤖 ModelScope | 🚀 Github | 📑 Blog
注意：提供了直接SFT使用的版本，点击下载。将数据中的思考和答案整合成output字段，大部分SFT代码框架均可直接直接加载训练。
本数据集为中文开源蒸馏满血R1的数据集，数据集中不仅包含math数据，还包括大量的通用类型数据，总数量为110K。
为什么开源这个数据？
R1的效果十分强大，并且基于R1蒸馏数据SFT的小模型也展现出了强大的效果，但检索发现，大部分开源的R1蒸馏数据集均为英文数据集。 同时，R1的报告中展示，蒸馏模型中同时也使用了部分通用场景数据集。
为了帮助大家更好地复现R1蒸馏模型的效果，特此开源中文数据集。
该中文数据集中的数据分布如下：… See the full description on the dataset page: https://huggingface.co/datasets/Congliu/Chinese-DeepSeek-R1-Distill-data-110k.Chinese-DeepSeek-R1-Distill-data-110k-SFT
中文基于满血DeepSeek-R1蒸馏数据集（Chinese-Data-Distill-From-R1）
🤗 Hugging Face | 🤖 ModelScope | 🚀 Github | 📑 Blog
注意：该版本为，可以直接SFT使用的版本，将原始数据中的思考和答案整合成output字段，大部分SFT代码框架均可直接直接加载训练。
本数据集为中文开源蒸馏满血R1的数据集，数据集中不仅包含math数据，还包括大量的通用类型数据，总数量为110K。
为什么开源这个数据？
R1的效果十分强大，并且基于R1蒸馏数据SFT的小模型也展现出了强大的效果，但检索发现，大部分开源的R1蒸馏数据集均为英文数据集。 同时，R1的报告中展示，蒸馏模型中同时也使用了部分通用场景数据集。
为了帮助大家更好地复现R1蒸馏模型的效果，特此开源中文数据集。该中文数据集中的数据分布如下：
Math：共计36568个样本，
Exam：共计2432个样本，
STEM：共计12648个样本，… See the full description on the dataset page: https://huggingface.co/datasets/Congliu/Chinese-DeepSeek-R1-Distill-data-110k-SFT.GSM8K_Deepseek_R1_Distill-Data-7148deepseek-r1-distill-cotCreated by several different models:
DeepSeek R1
DeepSeek R1 Distill Qwen 14B
Qwen3.8 27B
format:
{"quest": ..., "aswer": "..."}
ty
DeepSeek-R1-Distilled-Translate-en-zh_CN-39k
DeepSeek R1 满血蒸馏英中翻译数据集
本数据集是一个专门用于微调语言模型的英中翻译数据集，主要通过DeepSeek R1满血版蒸馏完成。
SFT训练版本
为了方便直接进行监督微调（Supervised Fine-tuning，SFT）训练，我们提供了两个使用标准 instruction-input-output 格式预的处理版本：
带 CoT 版本
保留了翻译过程中的思维链（Chain of Thought）
适合训练具有推理能力的翻译模型
无 CoT 版本
移除了思维链部分，只保留最终翻译结果
更适合训练直接输出翻译结果的模型
数据更简洁，训练更高效
项目依赖
本项目主要基于以下工具完成数据处理和生成：
llm-tools: 用于大语言模型数据处理的工具集合
qa-generator: 基于大语言模型的问答数据生成工具
数据集概览
关键统计
总样本数：38,981
数据集结构
字段说明… See the full description on the dataset page: https://huggingface.co/datasets/FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k.DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4
DeepSeek R1 满血蒸馏英中翻译数据集 Alpaca GPT-4（带 CoT 版本）
本数据集是 @FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k 的 Alpaca GPT-4 版本，专门用于微调语言模型的英中翻译任务。采用标准的指令微调格式，更适合直接用于 SFT（Supervised Fine-tuning）训练。
本项目主要基于以下工具完成数据处理和生成：
llm-tools: 用于大语言模型数据处理的工具集合
数据集概览
关键统计
总样本数：38,981
数据集结构
字段说明
features:
- name: instruction # 待翻译的英文文本
dtype: string
- name: input # 空字符串，保持与标准指令格式一致
dtype: string
- name: output #… See the full description on the dataset page: https://huggingface.co/datasets/FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4.AM-DeepSeek-R1-Filtered-Math-Code
AM DeepSeek R1 Filtered Math and Code
This repository publishes reproducible training subsets derived from
a-m-team/AM-DeepSeek-R1-Distilled-1.4M
at pinned revision 53531c06634904118a2dcd83961918c4d69d1cdf.
The source dataset and this derived release use CC BY-NC 4.0. Commercial use is
not permitted by that license. Preserve attribution and review the upstream
dataset card before use.
Contents
Config / split
Records
Bytes
SHA-256
math / train
111,657
2… See the full description on the dataset page: https://huggingface.co/datasets/chhao/AM-DeepSeek-R1-Filtered-Math-Code.Math-Chinese-DeepSeek-R1-10K
中文 DeepSeek-R1-Distil 数学指令微调数据集
💻 Github Repo
基本信息
数据集大小 10K，独立生成指令与回复，并非其他社区数据集的子集。所有数据经过校验，答案正确性可以得到保证。
数据集的组成如下：
问题类型
数据条数
定积分计算
2626
多项式化简
1621
因式分解
2557
多项式展开
2095
多项式方程
1101
总数
10000
数据格式
每条数据的格式如下：
{
"id": <<12位nanoid>>,
"prompt": <<提示词>>,
"reasoning": <<模型思考过程>>,
"response": <<模型最终回复>>
}
GSM8K_solutions_of_DeepSeek-R1-Distill-Llama-8BThis dataset contains DeepSeek-R1-Distill-Llama-8B responses to GSM8K test examples.
dolphin-r1-deepseek-stratifiedThis is a direct copy of mlabonne/dolphin-r1-deepseek with extra stratification information added in post-processing.
The strata include:
task_type
output_length
response_style
domain
complexity
There has been no validation done on the strata information, use at your own risk.
deepseek_r1_code_1kDeepSeek-R1-7B-MathPhysics-V6-evalClaude-4.0-DeepSeek-R1-RP-SFWishCreated from a python script I wrote that generates random plots within certain categories, and then creates about 5-15 responses.
Each response length is randomly selected from a small list to keep the responses dynamic. I also make the LLM respond in third person 2/3 times, and in first person 1/3 times (as I have seen this done sometimes as well)
I also have a cleanup step, where I am using another model to clean up the responses (Sometimes sentences are cut off from reaching the maximum… See the full description on the dataset page: https://huggingface.co/datasets/SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish.role-reasoning-deepSeek-r1-distill-llama-70Bhwtcm-deepseek-r1-distill-data
简介
DeepSeek蒸馏的传统中医数据集，原始数据来源于网络，未进行人工审查。
7B模型微调效果
模型表现出了推理能力，准确性有待继续验证。
我们的其他产品
中医NER：能识别方剂、本草、来源、病名、症状、证型，也许是基于BERT开源模型中识别最好的模型。中医考试题：也许是全网最早开源、数据最多的中医考试题，我们内部将其用于模型训练的性能评测数据集。中医SFT数据集：中医QA数据集，用于SFT微调。仓公：基于Qwen的指令微调模型（暂未开源）。仓公R1：基于DeepSeek蒸馏的超过100万条QA的指令微调模型，拥有强大的推理能力（暂未开源）。
。。。还有很多
Citation
If you find this project useful in your research, please consider cite:
@misc{hwtcm2024,
title={{hwtcm-deepseek-r1-distill-data} A traditional… See the full description on the dataset page: https://huggingface.co/datasets/Monor/hwtcm-deepseek-r1-distill-data.deepseek-ai__DeepSeek-R1-Distill-Qwen-1.5B-details
Dataset Card for Evaluation run of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Dataset automatically created during the evaluation run of model deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/deepseek-ai__DeepSeek-R1-Distill-Qwen-1.5B-details.AM-DeepSeek-R1-Distilled-1.4M-Puredeepseek_R1_0528_mathThe dataset is sourced from https://huggingface.co/datasets/a-m-team/AM-DeepSeek-R1-0528-Distilled, with math-related samples filtered out based on the model's confidence (lowest ppl).
DeepSeek-R1-Distill-Qwen-32B-LeaPPaper: Learning from Peers in Reasoning Models
Project Page: https://learning-from-peers.github.io/
Code: https://github.com/tongxuluo/LeaP
Dongwei__DeepSeek-R1-Distill-Qwen-7B-GRPO-details
Dataset Card for Evaluation run of Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO
Dataset automatically created during the evaluation run of model Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Dongwei__DeepSeek-R1-Distill-Qwen-7B-GRPO-details.mobiuslabsgmbh__DeepSeek-R1-ReDistill-Llama3-8B-v1.1-details
Dataset Card for Evaluation run of mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1
Dataset automatically created during the evaluation run of model mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/mobiuslabsgmbh__DeepSeek-R1-ReDistill-Llama3-8B-v1.1-details.psychology-10k-Deepseek-R1-zhnetcat420__DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b-details
Dataset Card for Evaluation run of netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b
Dataset automatically created during the evaluation run of model netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/netcat420__DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b-details.cognitivecomputations_dolphin-r1-reasoning-deepseekDavidAU__DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B-details
Dataset Card for Evaluation run of DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B
Dataset automatically created during the evaluation run of model DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/DavidAU__DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B-details.DeepSeek-R1-Distill-Qwen-1.5B-pts-thought-anchors
PTS Thought Anchors Dataset
A dataset of thought anchors - critical reasoning steps - identified using the Thought Anchors technique from the PTS tool.
Details
Source: Generated using the PTS tool
Model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Tags: pts, thought-anchors, reasoning, llm-analysis
Dataset Structure
This dataset contains thought anchors identified from reasoning traces. Each anchor represents a sentence that significantly impacts the success… See the full description on the dataset page: https://huggingface.co/datasets/codelion/DeepSeek-R1-Distill-Qwen-1.5B-pts-thought-anchors.Claude-Deepseek-R1-CombinedClaude 3.5 Haiku, Claude 3.7 and Claude 4.0 Roleplay conversations. These are all generally SAFE for Work.
I also have another set of ERP using the newest DeepSeek R1 reasoning model with about 138 conversations (All at least 9-15+ responses). Fairly high quality IMO. Though I am gating this repo for now due to the intense nature of some of the roleplays.
I have two dataset files (Both in the openai conversational format instead of sharegpt One is the combined dataset from my claude… See the full description on the dataset page: https://huggingface.co/datasets/SuperbEmphasis/Claude-Deepseek-R1-Combined.deepseek_r1_zh 完全从dolphin-r1正则化清洗出的r1中文对话数据集，完全由r1-671b模型生成的高质量数据集，可以用于中文模型微调蒸馏。
Deepseek-R1-ERP-DatasetDataset ERP dataset generated from deepseek R1. This was a bit intensive. I write a python scrip that would generate a random plot, the ERP theme of which was chosing at random from about 20 different types of themes (One of the more tame ones, for example, "Romance Erotica"). I would then guide the inference by using the "user" role to switch perspectives between the two characters, and continue the story.
I then wrote another script that used deepseek-cat to fix the reasoning portions.… See the full description on the dataset page: https://huggingface.co/datasets/SuperbEmphasis/Deepseek-R1-ERP-Dataset.