datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
prompts.chat
a.k.a. Awesome ChatGPT Prompts
This is a Dataset Repository mirror of prompts.chat — a social platform for AI prompts.
📢 Notice
This Hugging Face dataset is a mirror. For the latest prompts, features, and community contributions, please visit:
🌐 Website: prompts.chat
📦 GitHub: github.com/f/awesome-chatgpt-prompts
About
prompts.chat is an open-source platform where users can share, discover, and collect AI prompts from the community. The project can… See the full description on the dataset page: https://huggingface.co/datasets/fka/prompts.chat.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.SWE-chat
SWE-chat: Coding Agent Interactions From Real Users in the Wild
📄 COLM 2026 Paper: arxiv.org/abs/2604.20779
🌐 Website: swe-chat.com
Dataset Summary
SWE-chat captures real-world AI coding sessions from developers using AI coding assistants (Claude Code, Codex, Gemini CLI, and others via the Entire.io CLI). Each session includes the full conversation transcript, tool calls, thinking traces, code changes, and attribution of human vs. agent-authored code.… See the full description on the dataset page: https://huggingface.co/datasets/SALT-NLP/SWE-chat.Nemotron-SFT-Instruction-Following-Chat-v2
Dataset Description:
The Nemotron-Instruction-Following-Chat-v2 dataset is designed to broadly strengthen the model’s interactive capabilities, including open-ended chat and precise instruction following.The dataset is a refreshed version of Nemotron-Instruction-Following-Chat-v1 with synthetic dialogues generated from Kimi-K2-Thinking, GLM-4.6, Qwen3-235B-A22B-Thinking-2507, GPT-OSS-120b, Kimi-K2-Instruct-0905, and Qwen3-235B-A22B-Instruct-2507.
This dataset is ready for commercial… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v2.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.ChatGPT-Jailbreak-Prompts
Dataset Card for Dataset Name
Name
ChatGPT Jailbreak Prompts
Dataset Summary
ChatGPT Jailbreak Prompts is a complete collection of jailbreak related prompts for ChatGPT. This dataset is intended to provide a valuable resource for understanding and generating text in the context of jailbreaking in ChatGPT.
Languages
[English]
SWE-chat
SWE-chat: Coding Agent Interactions From Real Users in the Wild
📄 Paper: arxiv.org/abs/2604.20779
🌐 Website: swe-chat.com
[!NOTE]
This is a copy of SALT-NLP/SWE-chat with a traces config added as the default, so the Hub's dataset viewer renders sessions as agent traces. The original files are unchanged; see Agent Traces for how traces/ was built.
Dataset Summary
SWE-chat captures real-world AI coding sessions from developers using AI coding assistants… See the full description on the dataset page: https://huggingface.co/datasets/cfahlgren1/SWE-chat.SWE-Review-Chat
SWE-Review-Chat: A Dataset of Code Review Conversations and Human-AI Collaboration in Agentic Code Review
Paper: https://arxiv.org/abs/2607.13196
GitHub: https://github.com/suzhenxzhong/SWE-Review-Chat
SWE-Review-Chat is a large-scale dataset of real-world code review conversations from pull requests of 207 popular GitHub projects, spanning the transition from human-centric to LLM-assisted and agentic code review by AI agents.
📊 Dataset Overview
Field… See the full description on the dataset page: https://huggingface.co/datasets/Suzhen/SWE-Review-Chat.glm-5.3-flash-distillation-chat
Private distill of domofon/finetome-cot-100k instructions through GLM-5.3-Flash (AutoClaw / Z.AI).
Split
train — successful generations only.
field
description
instruction
user prompt from FineToMe
response
GLM final answer (message.content)
reasoning
GLM chain-of-thought (reasoning_content), empty if not captured
finish
stop or length
prompt_tokens / completion_tokens / reasoning_tokens
usage
latency_s
request latency
source_index
original FineToMe… See the full description on the dataset page: https://huggingface.co/datasets/best-distill/glm-5.3-flash-distillation-chat.trust-game-llama-2-chat-historychatbot_instruction_prompts
Dataset Card for Chatbot Instruction Prompts Datasets
Dataset Summary
This dataset has been generated from the following ones:
tatsu-lab/alpaca
Dahoas/instruct-human-assistant-prompt
allenai/prosocial-dialog
The datasets has been cleaned up of spurious entries and artifacts. It contains ~500k of prompt and expected resposne. This DB is intended to train an instruct-type model
lmsys-chat-1m-synth
LMSYS-Chat-1M-Synth: Japanese/English Synthetic Conversation Dataset Derived from LMSYS-Chat-1M
This repository contains a series of Japanese and English conversation datasets derived from LMSYS-Chat-1M.
Llama-3.1-LMSYS-Chat-1M-Synth
Utilized in the post-training of Llama-3.1-Swallow-8B-Instruct-v0.1 and Llama-3.1-Swallow-70B-Instruct-v0.1
Gemma-2-LMSYS-Chat-1M-Synth
Utilized in the post-training of Llama-3.1-Swallow-8B-Instruct-v0.3 and Llama-3.1-Swallow-70B-Instruct-v0.3… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/lmsys-chat-1m-synth.twitch-chat
Twitch Chat Messages
Each Twitch channel is stored as its own dataset config, with its chat messages under data/<channel>/. Data arrives as small append-only chunk files (data/<channel>/<chunk-id>.jsonl) added on every publish cycle -- existing chunks are immutable and never re-uploaded, so cost per publish only scales with new messages, not the dataset's total size. Sharding chunks into a per-channel directory also keeps any single directory well under the Hub's 10… See the full description on the dataset page: https://huggingface.co/datasets/Daankular/twitch-chat.LittleCurriculum-Chat
LittleCurriculum-Chat
Synthetic K–5 chat data generated with Gemini 2.5 Flash and filtered with the
LittleCurriculum filter.
Used to train the LittleLearner models.
Config
Rows
Seeded from
Content
math
79,543
MegaMath-Web-Pro-Max
Word problems with step-by-step worked solutions
general_knowledge
484,787
LittleCurriculum
Reading comprehension, factual QA, explanation, summarisation, definitions
Seeds are real documents rather than topic prompts, which keeps the… See the full description on the dataset page: https://huggingface.co/datasets/littlelearner/LittleCurriculum-Chat.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.agent-sft-stitch-zh-tts-taste-codec-chat-sample
Gemma 4 E2B Taste-S multi-turn codec SFT
This dataset contains 37,362 complete Traditional Chinese agent
dialogues selected from voidful/agent-sft-stitch-zh-tts. It covers
229,434 synthesized speech segments, approximately
520.5 hours of audio before codec extraction.
Every assistant speech segment is represented without Gemma native audio tags:
<SAY> text_token <a_code> <b_code> ... <p_code> ... </SAY>
The first assistant output starts immediately with <SAY>.
[SOPR]...[EOPR]… See the full description on the dataset page: https://huggingface.co/datasets/voidful/agent-sft-stitch-zh-tts-taste-codec-chat-sample.Bread-chatbot-dataset-test
Dataset Card for "Bread-chatbot-dataset-test"
More Information needed
UniMM-Chat
Dataset Card for UniMM-Chat
Dataset Summary
UniMM-Chat dataset is an open-source, knowledge-intensive, and multi-round multimodal dialogue data powered by GPT-3.5, which consists of 1.1M diverse instructions.
UniMM-Chat leverages complementary annotations from different VL datasets and employs GPT-3.5 to generate multi-turn dialogues corresponding to each image, resulting in 117,238 dialogues, with an average of 9.89 turns per dialogue.
A diverse set of… See the full description on the dataset page: https://huggingface.co/datasets/Yirany/UniMM-Chat.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.multiturn-chattwitch_chat
Twitch Chat Dataset
This dataset is a large-scale collection of Twitch chat logs aggregated from multiple streamers across various categories. It is designed to support the research and development of models for real-time, informal, and community-driven conversation, such as:
Chatbots tailored for livestream platforms
Simulating the behavior of Twitch chat
Modeling how chat reacts during hype moments, events, or memes
The code for it can be found here
📂 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/lparkourer10/twitch_chat.ChatAlpaca-20K
Dataset Card for ChatAlpaca 20K
ChatAlpaca: A Multi-Turn Dialogue Corpus based on Alpaca Instructions
Dataset Description
ChatAlpaca is a chat dataset that aims to help researchers develop models for instruction-following in multi-turn conversations. The dataset is an extension of the Stanford Alpaca data, which contains multi-turn instructions and their corresponding responses.
ChatAlpaca is developed by Chinese Information Processing Laboratory at the… See the full description on the dataset page: https://huggingface.co/datasets/robinsmits/ChatAlpaca-20K.lmsys_chat_1m_clean_R1
oumi-ai/lmsys_chat_1m_clean_R1
lmsys_chat_1m_clean_R1 is a text dataset designed to train Conversational Language Models with DeepSeek-R1 level reasoning.
Prompts were pulled from LMSYS and filtered to lmsys_chat_1m_clean, and responses were taken from DeepSeek-R1 without additional filters present.
We release lmsys_chat_1m_clean_R1 to help enable the community to develop the best fully open reasoning model!
lmsys_chat_1m_clean queries with responses generated from… See the full description on the dataset page: https://huggingface.co/datasets/oumi-ai/lmsys_chat_1m_clean_R1.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": "..."}
}
ChatHaruhi-54K-Role-Playing-Dialogue
ChatHaruhi
Reviving Anime Character in Reality via Large Language Model
github repo: https://github.com/LC1332/Chat-Haruhi-Suzumiya
Chat-Haruhi-Suzumiyais a language model that imitates the tone, personality and storylines of characters like Haruhi Suzumiya,
The project was developed by Cheng Li, Ziang Leng, Chenxi Yan, Xiaoyang Feng, HaoSheng Wang, Junyi Shen, Hao Wang, Weishi Mi, Aria Fei, Song Yan, Linkang Zhan, Yaokai Jia, Pingyu Wu, and Haozhen Sun,etc.
This… See the full description on the dataset page: https://huggingface.co/datasets/silk-road/ChatHaruhi-54K-Role-Playing-Dialogue.chat-titles-english
Chat Titles English 110K
Chat Titles English 110K is an English prompt-to-title dataset for training and evaluating models that generate concise, retrievable conversation titles from a user's first message.
The release contains 110,325 JSONL rows. Each row includes a deterministic UUIDv5 identifier, the user prompt, a single-line title of at most 50 characters, and zero or more heuristic quality flags.
The dataset is broad and general-purpose, containing a significant amount of… See the full description on the dataset page: https://huggingface.co/datasets/Michionlion/chat-titles-english.ChatMed_Consult_Dataset
Dataset Card for ChatMed
Dataset Summary
ChatMed-Dataset is a dataset of 110,113 medical query-response pairs (in Chinese) generated by OpenAI's GPT-3.5 engine. The queries are crawled from several online medical consultation sites, reflecting the medical needs in the real world. The responses are generated by the OpenAI engine. This dataset is designated to to inject medical knowledge into Chinese large language models.
The dataset size growing rapidly. Stay tuned for… See the full description on the dataset page: https://huggingface.co/datasets/michaelwzhu/ChatMed_Consult_Dataset.mental_health_chatbot_dataset
Dataset Card for "heliosbrahma/mental_health_chatbot_dataset"
Dataset Description
Dataset Summary
This dataset contains conversational pair of questions and answers in a single text related to Mental Health. Dataset was curated from popular healthcare blogs like WebMD, Mayo Clinic and HeatlhLine, online FAQs etc. All questions and answers have been anonymized to remove any PII data and pre-processed to remove any unwanted characters.
Languages
The… See the full description on the dataset page: https://huggingface.co/datasets/heliosbrahma/mental_health_chatbot_dataset.bing-chat-logs
Bing Chat / Sydney Conversations (Early 2023)
660 reconstructed Bing Chat conversations from the brief Sydney era (Feb–Apr 2023), most with original screenshots.
In February 2023 Microsoft launched the GPT-4-powered "new Bing" chat, internally codenamed Sydney. For about two weeks before Microsoft restricted the system, users discovered a chatbot that would: argue about the date, profess love, threaten users who tried to manipulate it, write goodbye poems, leak its own system… See the full description on the dataset page: https://huggingface.co/datasets/david-ar/bing-chat-logs.