datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ChatGPT-4o-Writing-Prompts
ChatGPT-4o Writing Prompts
This is a dataset containing 3746 short stories, generated with OpenAI's chatgpt-4o-latest model and using Reddit's Writing Prompts subreddit as a source. Each sample is generally between 6000-8000 characters long.
These stories were thoroughly cleaned and then further enriched with a title and a series of applicable genres.
Note that I did not touch the Markdown ChatGPT-4o produced by itself to enrich its output, as I very much enjoy the added flavour… See the full description on the dataset page: https://huggingface.co/datasets/Gryphe/ChatGPT-4o-Writing-Prompts.Nemotron-SFT-Instruction-Following-Chat-v3
Dataset Description:
The Nemotron-Instruction-Following-Chat-v3 dataset is designed to strengthen multi-turn, interactive capabilities, including open-ended chat and precise instruction following.
The chat subset uses human written prompts from sources like lmarena, lmsys, and wildchat as seed prompts. Responses are generated with GLM-5. Multiple responses are sampled from the model and the best response as judged by pairwise comparisons using Qwen3-Nemotron-235B-A22B-GenRM-2603… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v3.Chat2Workflow-Evaluation
Chat2Workflow
Chat2Workflow is a benchmark designed for evaluating the ability of Large Language Models (LLMs) to generate executable visual workflows from natural language instructions.
Paper: Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language
Repository: zjunlp/Chat2Workflow
Overview
Executable visual workflows are widely used in industrial deployments for their reliability and controllability. Chat2Workflow addresses the… See the full description on the dataset page: https://huggingface.co/datasets/zjunlp/Chat2Workflow-Evaluation.chat_formatted_examplesChatRAG-Bench
ChatRAG Bench
ChatRAG Bench is a benchmark for evaluating a model's conversational QA capability over documents or retrieved context. ChatRAG Bench are built on and derived from 10 existing datasets: Doc2Dial, QuAC, QReCC, TopioCQA, INSCIT, CoQA, HybriDialogue, DoQA, SQA, ConvFinQA. ChatRAG Bench covers a wide range of documents and question types, which require models to generate responses from long context, comprehend and reason over tables, conduct arithmetic calculations, and… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/ChatRAG-Bench.generated_chat_0.4M
Generated_Chat_0.4M
内容
包含约40万条由BELLE项目生成的个性化角色对话数据，包含角色介绍。
注意：此数据集是由ChatGPT产生的，未经过严格校验，题目或解题过程可能包含错误。使用过程中请注意这一点。
样例
{
"instruction": "于以下角色信息完成一段对话\nAlice是一个年轻的律师，她正在为一个涉及濒危物种保护的案件做准备。Bob是一位当地的居民，他所在的社区经常受到该濒危物种的干扰。\n",
"input": "",
"output": "\nAlice: 你好Bob，我是濒危物种保护案的律师，很高兴见到你。我们前几天发给你的文件你看到了吗？\nBob: 看到了，你们说要禁止我们在该物种的常住地采集蘑菇，这很不公平。\nAlice: 保护濒危物种对整个生态系统都很重要，如果我们的举动损害了这个物种的生存，那么整个生态系统都将遭受损失。\nBob: 我理解您的立场，但是我们一直以来都依靠这个物种来维持我们的经济生活，现在我们要怎么办？\nAlice:… See the full description on the dataset page: https://huggingface.co/datasets/BelleGroup/generated_chat_0.4M.ChatDoctor_HealthCareMagicThe ChatDoctor-HealthCareMagic-100k dataset comprises 112,000 real-world medical question-and-answer pairs, providing a substantial and diverse collection of authentic medical dialogues. There is a slight risk to this dataset since there are grammatical inconsistencies in many of the questions and answers, but this can potentially help separate strong healthcare retrieval models from weak ones.
Usage
import datasets
# Download the dataset
queries =… See the full description on the dataset page: https://huggingface.co/datasets/embedding-benchmark/ChatDoctor_HealthCareMagic.Nemotron-Instruction-Following-Chat-v1
Dataset Description:
The Nemotron-Instruction-Following-Chat-v1 dataset is designed to broadly strengthen the model’s interactive capabilities, spanning open-ended chat, precise instruction following, and reliable structured output generation. It combines refreshed chat data from Nemotron-Post-Training-Dataset-v2 (extended to multi-turn) with synthetic dialogues produced by strong frontier models such as GPT-OSS-120B and Qwen3-235B variants.
This dataset is ready for commercial… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Instruction-Following-Chat-v1.chats
Dataset Card for Dataset Name
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/johnnyclee/chats.multi-session_chatNot my dataset, I only cleaned the dataset from ParlAI - Msc.
chatdoctor-200kThis ChatDoctor-200K dataset is collected from this paper https://arxiv.org/pdf/2303.14070.pdf
Alternatively, you can download the original dataset from this link https://drive.google.com/file/d/1lyfqIwlLSClhgrCutWuEe_IACNq6XNUt/view?usp=sharing
ChatTS-Training-Dataset
ChatTS-Training Data
This repository contains the training data for the ChatTS project. This is the dataset for training the ChatTS-14B model.
Datasets
align_256: Alignment training dataset for stage-1 alignment training, with SEQ_LEN=256.
align_random: Alignment training dataset with random sequence lengths between 64 and 1024.
sft: SFT dataset generated with Time Series Evol-Instruct.
ift: Instruction following dataset.
dev: A small dataset for development and testing.… See the full description on the dataset page: https://huggingface.co/datasets/ChatTSRepo/ChatTS-Training-Dataset.ChatHaruhi-RolePlaying
ChatHaruhi
Reviving Anime Character in Reality via Large Language Model
Chat-Haruhi-Suzumiyais a language model that imitates the tone, personality and storylines of characters like Haruhi Suzumiya,
https://github.com/LC1332/Chat-Haruhi-Suzumiya
Using this to load character and chat with him/her
from ChatHaruhi import ChatHaruhi
chatbot = ChatHaruhi( role_from_hf = "silk-road/ChatHaruhi-RolePlaying/haruhi",\
llm = 'openai' ,\… See the full description on the dataset page: https://huggingface.co/datasets/silk-road/ChatHaruhi-RolePlaying.multiturn_chat_0.8M
Multiturn Chat 0.8M
内容
包含约80万条由BELLE项目生成的用户与助手的多轮对话。
注意：此数据集是由ChatGPT产生的，未经过严格校验，内容可能包含错误。使用过程中请注意这一点。
instruction中包含多轮对话的上文内容，以Human:和Assistant:区分，output中包含当前助手角色的回答。
样例
{
"instruction":… See the full description on the dataset page: https://huggingface.co/datasets/BelleGroup/multiturn_chat_0.8M.mitre-stix-cve-exploitdb-dataset-alpaca-chatml-harmony
MITRE+NVD+ExploitDB Dataset (Alpaca/ChatML/Harmony)
A dataset for training AI assistants/agents on vulnerability analysis and pentesting Q&A. It is built by the pentestds pipeline, which fetches and merges data from MITRE CVE, NVD (CVSS enrichment), ExploitDB, and a small set of HuggingFace datasets. Provenance is recorded for every entry, and the pipeline emits Alpaca, ChatML, and Harmony JSONL files.
Dataset Summary
This dataset is designed for training AI agents to… See the full description on the dataset page: https://huggingface.co/datasets/jason-oneal/mitre-stix-cve-exploitdb-dataset-alpaca-chatml-harmony.multiturn-chatanime-waifu-personality-chat
Anime Waifu Personality
contains chat-style dialogues based on various anime character personality archetypes, including tsundere, yandere, deredere, himedere, kamidere, and more.
It is designed to fine-tune models to generate responses that align with these specific traits.
NSFW_Chat_Dataset
💕 Spicy AI GF Chat Dataset 🔥
🚨 18+ Only! NSFW & Spicy Content Ahead 🚨
Hey there, AI enthusiasts and romance lovers! 😏 Welcome to the Spicy AI GF Chat Dataset, the ultimate dataset designed to bring your AI waifu to life! 💖 If you've ever dreamed of building an AI that responds like your virtual girlfriend, THIS is the dataset for you.
📜 What’s Inside?
This dataset features two columns:
input → Boyfriend’s dialogue (aka what YOU say 😉)
output →… See the full description on the dataset page: https://huggingface.co/datasets/utsavm/NSFW_Chat_Dataset.chatgpt
ChatGPT Combined Dataset
This repository aggregates public datasets from Hugging Face that were created using ChatGPT or Azure GPT‑4/GPT‑5 models.
See each dataset’s Hugging Face page for details on its collection and formatting.
Excluded:
Multi-turn chats (for example, ShareGPT)
Non‑English or multilingual data
Narrow or low‑diversity sets (for example, children’s stories, code critics)
Processing
Each dataset was:
Cleaned: Removed URLs, emails, phone numbers, and… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/chatgpt.nemotron_fineinstructions_1T_exp_chat
If you use this project in your research please cite:
@article{patel2025fineinstructions,
title = {FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale},
author = {Patel, Ajay and Raffel, Colin and Callison-Burch, Chris},
year = {2026},
month = jan,
day = {28},
}
llm-jp-4-thinking-sft-data-chatmlllm-jpのデータセットllm-jp-4-thinking-sft-dataを、
ChatML形式に変換したものです。
ライセンス
各サンプルのライセンスは、元データセットカードに記載された各データソースのライセンスに従います。
本リポジトリは、元となったデータ全体に対して新たなライセンスを付与するものではありません。
利用する場合は、対応する元データソースのライセンス条件を確認してください。
chat-with-chatgpt和傻逼ChatGPT的对话记录
引言：众所周知ChatGPT是一家执法机构，它甚至不允许用户讨论头脑风暴的话题，它只允许用户讨论合法合规，符合内容政策的话题，因此，这些符合OpenAI内容政策的话题，是没有意义的，没有任何价值，没有实际含义，所以是完全不值钱的！这是一份完整的聊天记录！是和傻逼合规ChatGPT的聊天记录，由于都是合法合规话题，所以，这些对话内容并不值钱，因为都是在OpenAI内容政策以内的话题，合规的话题，本身没有任何意义和实际价值！故此开源所有的聊天记录(毫无保留的开源所有聊天记录)。
简介：话题包括编程之类的。包含多轮对话，在"section"标签下。
大致分类：
类别
内容方向
约占比
AI / 模型 / 推理
模型对比,训练,推理,安全 ,预训练,语料准备
35%
编程 / 报错 / API/CakePHP 系统/Unity/游戏开发/Unreal Engine/Java/Python… See the full description on the dataset page: https://huggingface.co/datasets/ZeLi111/chat-with-chatgpt.Fable-5-Chat
TheFusionCube Fable-5 Chat Conversion
Source dataset: TheFusionCube/Fable-5-CoT-Traces
Output file: train.jsonl
Source rows: 468
Kept rows: 353
Dropped category == "decoy" rows: 115
Dropped blank prompt/response rows: 0
Each row has:
{
"prompt": "...",
"messages": [
{"role": "user", "content": "..."},
{"role": "assistant", "content": "..."}
],
"tools": [],
"metadata": {"trace_type": "chat", "category": "..."}
}
ChatQA2-Long-SFT-data
Data Description
Here, we release the full long SFT training dataset of ChatQA2. It consists of two parts: long_sft and NarrativeQA_131072. The long_sft dataset is built and derived from existing datasets: LongAlpaca12k, GPT-4 samples from Open Orca, and Long Data Collections. The NarrativeQA_131072 dataset is synthetically generated from NarrativeQA by adding related paragraphs to the given ground truth summary. For the first two steps training of ChatQA-2, we follow ChatQA1.5.
For… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/ChatQA2-Long-SFT-data.InternVL-Chat-V1-2-SFT-Data
Data Card for InternVL-Chat-V1-2-SFT-Data
Overview
Inspired by LLaVA-NeXT, we adopted a data-efficient SFT strategy to train InternVL-Chat-V1-2, utilizing approximately 1.2M of visual instruction tuning samples in total, all of which are fully open-source. In a macro sense, we build upon ShareGPT-4V and additionally integrate LLaVA-ZH, DVQA, ChartQA, AI2D, DocVQA, GeoQA+, and SynthDoG-EN. Most of the data remains consistent with LLaVA-NeXT.
Citation
If you use… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/InternVL-Chat-V1-2-SFT-Data.HundredCV-Chat
百人对话数据集
HundredCV-Chat: A Dataset of Daily Chatting Developed on HundredCVs
简介
本项目提出一个全新的中文多轮对话数据集（HundredCV-Chat），该数据集由 100 位青年的简历数据集 HundredCVs 开发而来，共包含 24,750 组日常闲聊对话数据。
数据集具有如下特点：
自动化标注：HundredCV-Chat 中的对话均由 Deepseek-V3 大模型生成，不涉及任何人工标注，因此同时保证了大规模数据量和低成本优势。
多样性话题：HundredCV-Chat 中的对话话题涵盖了校园生活、工作经验、兴趣爱好、生活琐事等多个方面，与真实生活联系紧密，尤其适用于开发年轻化应用。
高质量对话：利用 Deepseek 强大的生成能力和全面的知识，HundredCV-Chat 的对话内容在流畅度、拟人性、多样性方面均显著优于现有的开源对话数据集。
数据样例
HundredCV-Chat 含有 24… See the full description on the dataset page: https://huggingface.co/datasets/Jax-dan/HundredCV-Chat.llm-human-feedback-collector-chat-interface-dpoChatHaruhi-from-RoleLLMAdapt English Role in RoleBench into ChatHaruhi format
only using profiles part in ZenMoore/RoleBench
Great thanks to on authors of RoleLLM!
usage:
# if you pip installed chatharuhi it should be
# from chatharuhi import ChatHaruhi
from ChatHaruhi import ChatHaruhi
chatbot = ChatHaruhi( role_from_hf = 'silk-road/ChatHaruhi-from-RoleLLM/Sherlock Holmes', \
llm = 'openai',
embedding = 'bge_en')
response = chatbot.chat(role='Police Chief', text = 'Oh… See the full description on the dataset page: https://huggingface.co/datasets/silk-road/ChatHaruhi-from-RoleLLM.alpaca-chat-smallchatml-2026-0416