datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
function-calling-sharegptThis is a dataset for finetuning models on function calling based on glaiveai/glaive-function-calling-v2.
The dataset includes 86,864 examples of chats that include function calling as part of the conversation. The system prompt includes either 0, 1, or 2 functions that the assistant can use, and instructions on how the agent can use it.
Changes include:
Using ShareGPT format for chats
Adding "function_response" as a role
Removing code examples
Removing examples with invalid JSON as function… See the full description on the dataset page: https://huggingface.co/datasets/hypervariance/function-calling-sharegpt.glaive-function-calling-v2-sharegptThe glaive-function-calling-v2 dataset in sharegpt format.
You can use it in LLaMA Factory by specifying --dataset glaive_toolcall_100k.
sharegpt_gpt4
Dataset Card
Dataset Summary
ShareGPT中挑选出的GPT4多轮问答数据，多语言问答。
Languages
数据集是多语言，包括中文、英文、日文等常用语言。
Dataset Structure
Data Fields
The data fields are the same among all splits.
conversations: a List of string .
head -n 1 sharegpt_gpt4.jsonl
{"conversations":[
{'from': 'human',
'value': '採用優雅現代中文，用中文繁體字型，回答以下問題。為所有標題或專用字詞提供對應的英語翻譯：Using scholarly style, summarize in detail James Barr\'s book "Semantics of Biblical Language". Provide… See the full description on the dataset page: https://huggingface.co/datasets/shibing624/sharegpt_gpt4.DSULT-Core-ShareGPT-X
DSULT-Core/ShareGPT-X Filtered Dataset
This dataset is a curated subset of ShareGPT-X, which contains approximately 92,000 one-to-one conversations between humans and ChatGPT, collected from X.com (formerly Twitter). The corpus covers content from January 2024 through May 2025, built entirely from public "share" links posted by users on their timelines.
The file ChatGPT-Simple_ShareGPT_Full.json includes the longest sequences of alternating human and gpt messages within each… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/DSULT-Core-ShareGPT-X.roleplay-zh-sharegpt-gpt4-data
roleplay 数据集
数据
我们有4个数据集文件:
"sharegpt_formatted_data-evol-gpt4.jsonl" 来自 bai-roleplay/evol-character-entire 将其转换为sharegpt格式。
"sharegpt_formatted_data-evol-gpt35.jsonl" 来自 bai-roleplay/evol-character-entire 将其转换为sharegpt格式。
"sharegpt_formatted_data-evol-male-gpt35.jsonl" 来自 bai-roleplay/evol-character-entire 将其转换为sharegpt格式。
"sharegpt_formatted_data-roleplay-chat-1k.jsonl" 来自 Minami-su/roleplay_multiturn_chat_1k_zh_v0.1 将其转换为sharegpt格式。… See the full description on the dataset page: https://huggingface.co/datasets/shibing624/roleplay-zh-sharegpt-gpt4-data.sharegpt-englishShareGPT-X
Dataset Summary
ShareGPT-X is an expanded, snapshot of ~92K (ChatGPT) one-to-one human & LLM conversations harvested from X.com (formerly Twitter).The corpus spans January 2024 → present (last ingest 2025-05) and is built entirely from public "share" links that users posted to their timelines.Each thread contains the original user prompt plus the assistant’s reply; no system prompts or metadata are exposed.
Supported Tasks and Leaderboards
text-generation… See the full description on the dataset page: https://huggingface.co/datasets/DSULT-Core/ShareGPT-X.Code-290k-ShareGPTCode-290k-ShareGPT
This dataset is in Vicuna/ShareGPT format. There are around 290000 set of conversations. Each set having 2 conversations.
Along with Python, Java, JavaScript, GO, C++, Rust, Ruby, Sql, MySql, R, Julia, Haskell, etc. code with detailed explanation are provided.
This datset is built upon using my existing Datasets Python-Code-23k-ShareGPT
and Code-74k-ShareGPT
My Models Python-Code-13B and Python-Code-33B are trained on Python-Code-23k-ShareGPT.
My Models Code-13B and… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT.no-robots-sharegpt
no-robots-sharegpt
HuggingFaceH4/no_robots with both test and train splits combined and converted to ShareGPT format for use in common training repositories.
Please refer to the original repository's dataset card for more information.
no-robots-sharegpt.jsonl
Original dataset converted to ShareGPT
no-robots-sharegpt-fixed.jsonl
Manual edits were made to ~10 dataset entries that were throwing warnings in axolotl - turns out that some of the multi-turn conversations had… See the full description on the dataset page: https://huggingface.co/datasets/Doctor-Shotgun/no-robots-sharegpt.thomas-yanxin-MT-SFT-ShareGPT-sample
MT-SFT-ShareGPT Sample Dataset
This dataset provides a sample of the thomas-yanxin/MT-SFT-ShareGPT dataset with English and Chinese subsets.
Dataset Contents
train.jsonl: Contains 1/10 of the original data, shuffled
EN.jsonl: English conversations from train.jsonl
ZH.jsonl: Chinese conversations from train.jsonl
Each row represents a conversation with an optional system message, followed by human and GPT turns.
Columns from the original dataset are preserved, with… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/thomas-yanxin-MT-SFT-ShareGPT-sample.thomas-yanxin-MT-SFT-ShareGPT
thomas-yanxin/MT-SFT-ShareGPT
This is the complete thomas-yanxin/MT-SFT-ShareGPT dataset,
with duplicates removed and the entire dataset shuffled. Sensitive data has been redacted.
For practical work, consider using agentlans/thomas-yanxin-MT-SFT-ShareGPT-sample
which is smaller and split by language.
ShareGPT-74k-ko
ShareGPT-ko-74k
ShareGPT 90k의 cleaned 버전을 구글 번역기를 이용하여 번역하였습니다.원본 데이터셋은 여기에서 확인하실 수 있습니다.
Korean-translated version of ShareGPT-90k, translated by Google Translaton.You can check the original dataset here.
Dataset Description
json 파일의 구조는 원본 데이터셋과 동일합니다.*_unclneaed.json은 원본 데이터셋을 번역하고 따로 후처리하지 않은 데이터셋입니다. (총 74k)*_cleaned.json은 위의 데이터에서 코드가 포함된 데이터를 러프하게 제거한 데이터셋입니다. (총 55k)주의: 코드는 번역되었을 수 있으므로 cleaned를 쓰시는 걸 추천합니다.
The structure of the dataset is the same with the… See the full description on the dataset page: https://huggingface.co/datasets/dbdu/ShareGPT-74k-ko.ru-chain-of-thought-sharegptПереведённая при помощи utrobinmv/t5_translate_en_ru_zh_small_1024 на русский язык версия датасета isaiahbjork/chain-of-thought-sharegpt.
saas-product-support-sharegpt-1k
SaaS/Tech Product Support — Multi-Turn SFT Dataset
A domain-specific supervised fine-tuning dataset for
SaaS and tech product support conversations, built for
LLM fine-tuning and instruction tuning.
Dataset Summary
This dataset contains 1,200 multi-turn English conversations
between a customer and a support agent, covering common
SaaS/tech support scenarios: bug reports, billing issues,
API errors, authentication problems, onboarding blockers,
integration failures… See the full description on the dataset page: https://huggingface.co/datasets/Dang-DN-VN/saas-product-support-sharegpt-1k.ShareGPT_Dialogue
Dataset Card for Dataset Name
Dataset Summary
本数据集来自ShareGPT数据，整理成用户和系统多轮对话形式，原始数据来源
Dataset Structure
数据集中包含两个字段，分别为dialogue和turn。dialogue是用户和系统之间的多轮对话，数据类型为List(Dict)，按照列表顺序表示对话顺序，每一轮中human是用户问题，assistant是系统回复。turn表示总共对话轮数，数据类型为Int。
Data Instances
{
"dialogue":
[
{
"human": "编写一个用户故事，说明一个用户如何登录应用程序，然后在第二段中编写其用户验收测试。",
"assistant": "作为用户，我希望能够登录到应用程序，以便我可以访问我的个性化内容和设置。\n为确保登录功能正常工作，可以进行以下验收测试：\n1.… See the full description on the dataset page: https://huggingface.co/datasets/Maciel/ShareGPT_Dialogue.dnd-training-sharegpt-dm
DnD Dungeon Master Training Dataset
ShareGPT格式的D&D地下城主（DM）训练数据集，用于LLamaFactory微调。
数据集概览
记录数: 1,151条
文件大小: 43.31 MB
角色: DM (Dungeon Master / 地下城主)
工具数: 40个
DM角色说明
DM是D&D游戏的主持人，负责：
⚔️ 管理战斗流程（先攻、回合顺序）
🎲 裁定攻击和伤害
🧙 处理法术效果
🎭 扮演NPC和怪物
📊 跟踪所有角色状态
Tools (40个)
DM拥有完整的游戏管理工具：
战斗管理 (8个)
roll_initiative - 先攻投骰
roll_attack - 攻击检定
roll_dmg - 伤害投骰
roll_spell_attack - 法术攻击
roll_save - 豁免检定
roll_skill_check - 技能检定
opportunity_attack - 借机攻击… See the full description on the dataset page: https://huggingface.co/datasets/autoprogrammer/dnd-training-sharegpt-dm.sharegpt_cot_dataset
A data set inspired by the "Reflection" method, three-dimensional thinking and cot
This is the ShareGPT format.
The data set was generated using multiple llm synthesis.
ShareGPT-Qwen3-4B-T0.6-Thinking-Regen
ShareGPT — Qwen3-4B Thinking Regeneration (T0.6, 32k budget)
This dataset contains 36,315 ShareGPT conversations with assistant responses regenerated by Qwen/Qwen3-4B in thinking mode. User prompts are retained; each regenerated assistant turn includes its reasoning in reasoning_content and its final answer in content.
The prompt set (system and user messages, including the "You are a helpful assistant." system turn) is exactly the one of… See the full description on the dataset page: https://huggingface.co/datasets/jgeuter/ShareGPT-Qwen3-4B-T0.6-Thinking-Regen.kurumi-sharegpt-cn
时崎狂三 角色扮演对话数据集
《约会大作战》角色「时崎狂三」的纯中文多轮对话数据集，用于微调角色扮演 LLM。
统计
样本数：1188 条
轮次：每条 4 轮（human → gpt → human → gpt）
语言：纯中文（无日文假名），保留中文口癖「啊啦啊啦 / 呵呵 / 贵安」
覆盖：日常起居、情感亲密、休闲爱好、节日时刻、角色设定问答、情绪表达、动作描写等约 200 类场景
格式（ShareGPT）
{
"system": "你是时崎狂三，……（人设卡）",
"conversations": [
{"from": "human", "value": "主人说的话"},
{"from": "gpt", "value": "狂三的回复"},
{"from": "human", "value": "……"},
{"from": "gpt", "value": "……"}
]
}
使用（LLaMA-Factory）… See the full description on the dataset page: https://huggingface.co/datasets/justinQAQ/kurumi-sharegpt-cn.humor-sharegpt-5k
Humor ShareGPT 5K
A curated dataset of 5,234 jokes, riddles, puns, and humor in ShareGPT conversational format, designed for fine-tuning small language models.
Format
Each example is a multi-turn conversation in ShareGPT format with a category label:
{
"conversations": [
{"from": "human", "value": "Tell me a dad joke"},
{"from": "gpt", "value": "Why don't eggs tell jokes? They'd crack each other up!"}
],
"category": "dad_joke"
}
Multi-turn examples… See the full description on the dataset page: https://huggingface.co/datasets/briancconnelly/humor-sharegpt-5k.ShareGPT-Qwen3-4B-T0.7-NonThinking-Regen
ShareGPT Qwen3-4B T0.7 Non-Thinking Regen
ShareGPT conversations regenerated with Qwen/Qwen3-4B in non-thinking mode.
Generation settings
temperature: 0.7
top-p: 0.8
top-k: 20
min-p: 0
max tokens: 4096
reasoning: disabled
system message: You are a helpful assistant.
The source contained 36,943 rows. Regeneration produced 36,936 successful rows,
skipped 7 rows, and recorded no generation errors. The dataset contains the
successful rows only.
Each JSONL record has… See the full description on the dataset page: https://huggingface.co/datasets/TY233/ShareGPT-Qwen3-4B-T0.7-NonThinking-Regen.ShareGPT-Qwen3-4B-T0.7-Thinking-Regen
ShareGPT — Qwen3-4B Thinking Regeneration
This dataset contains 33,590 ShareGPT conversations with assistant responses regenerated by Qwen/Qwen3-4B in thinking mode. User prompts are retained; each regenerated assistant turn includes its reasoning in reasoning_content and its final answer in content.
Generation
Parameter
Value
Model
Qwen/Qwen3-4B
Model revision
1cfa9a7208912126459214e8b04321603b3df60c
Thinking
Enabled
Temperature
0.7
Top-p
0.8… See the full description on the dataset page: https://huggingface.co/datasets/TY233/ShareGPT-Qwen3-4B-T0.7-Thinking-Regen.allenai_WildChat-1M-gemini-2.0-flash-exp-ShareGPT
allenai_WildChat-1M-gemini-2.0-flash-exp-ShareGPT
PJMixers-Dev/allenai_WildChat-1M-prompts with responses generated with gemini-2.0-flash-exp.
Generation Details
If BlockedPromptException, StopCandidateException, or InvalidArgument was returned, the sample was skipped.
If ["candidates"][0]["safety_ratings"] == "SAFETY" the sample was skipped.
If ["candidates"][0]["finish_reason"] != 1 the sample was skipped.
model = genai.GenerativeModel(
model_name… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Dev/allenai_WildChat-1M-gemini-2.0-flash-exp-ShareGPT.grimulkan_theory-of-mind-gemini-2.0-flash-exp-ShareGPT
grimulkan_theory-of-mind-gemini-2.0-flash-exp-ShareGPT
grimulkan/theory-of-mind with responses generated with gemini-2.0-flash-exp.
Generation Details
If BlockedPromptException, StopCandidateException, or InvalidArgument was returned, the sample was skipped.
If ["candidates"][0]["safety_ratings"] == "SAFETY" the sample was skipped.
If ["candidates"][0]["finish_reason"] != 1 the sample was skipped.
model = genai.GenerativeModel(
model_name,
safety_settings=[… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Dev/grimulkan_theory-of-mind-gemini-2.0-flash-exp-ShareGPT.kurumi-sharegpt-cn
时崎狂三 角色扮演对话数据集
《约会大作战》角色「时崎狂三」的纯中文多轮对话数据集，用于微调角色扮演 LLM。
统计
样本数：1188 条
轮次：每条 4 轮（human → gpt → human → gpt）
语言：纯中文（无日文假名），保留中文口癖「啊啦啊啦 / 呵呵 / 贵安」
覆盖：日常起居、情感亲密、休闲爱好、节日时刻、角色设定问答、情绪表达、动作描写等约 200 类场景
格式（ShareGPT）
{
"system": "你是时崎狂三，……（人设卡）",
"conversations": [
{"from": "human", "value": "主人说的话"},
{"from": "gpt", "value": "狂三的回复"},
{"from": "human", "value": "……"},
{"from": "gpt", "value": "……"}
]
}
使用（LLaMA-Factory）… See the full description on the dataset page: https://huggingface.co/datasets/Q910Q/kurumi-sharegpt-cn.sharegpt-tagengo-gpt4-koOriginal Dataset: lightblue/tagengo-gpt4
ShareGPT-tagengo-GPT4-ko
LMSYS-Chat-1M를 통해 수집된 실제 유저들과 GPT-4(gpt-4-0125-preview) 사이의 단발성 대화 데이터 셋입니다.
tagengo-gpt4 데이터 셋에서 한국어 데이터 1,609개를 추출한 뒤, 사람이 직접 확인하여 일부 불필요한/중복 질문, 잘못된 답변 등을 제거했습니다.
자세한 언어별 분류 방법은 lightblue/tagengo-gpt4를 참고하세요.
번역이 아닌, 실제 한국어로 주고 받은 데이터 셋입니다.
Files
sharegpt_tagengo_ko.json: 불필요한/중복 질문 및 잘못된 답변을 제거한 1,540개 데이터입니다.
sharegpt_tagengo_ko_no_sorry.json: sharegpt_tagengo_ko.json에서 "죄송"으로 시작되는 답변(GPT-4의 답변 거부)을… See the full description on the dataset page: https://huggingface.co/datasets/werty1248/sharegpt-tagengo-gpt4-ko.capybara-sharegpt
capybara-sharegpt
LDJnr/Capybara converted to ShareGPT format for use in common training repositories.
Please refer to the original repository's dataset card for more information. All credit goes to the original creator.
Cleaned-sharegpt_Merged-Opus-33159-ShareGPTsharegpt-turkish
AhiskaAI ShareGPT Turkish
AhiskaAI ShareGPT Turkish is a high-quality, cleaned, and curated conversational dataset optimized for training Small Language Models (SLMs) in Turkish. This dataset is processed specifically for natural language understanding and instruction-following tasks.
📊 Dataset Details
Language: Turkish (tr)
Format: ShareGPT (.json)
Application: Suitable for Supervised Fine-Tuning (SFT) and instruction tuning of LLMs/SLMs.
🛠️… See the full description on the dataset page: https://huggingface.co/datasets/AhiskaAI/sharegpt-turkish.Roblox_Luau_CoT_conversational_sharegpt_lqv1New version soon
This is a dataset based on Roblox/luau_corpus, with a sharegpt style, modified Thought and Output tokens, with a proper conversational style.
This highly experimental dataset is designed to help SLMs and LLMs handle reasoning with Luau Roblox code generation, it has the same style of tokens as Openo1
Ideally, after tuning your LLm with the Roblox/luau_corpus dataset, fine-tune it with another dataset like this one to create LLms similar to superthoughts by us, openo1, deepseek… See the full description on the dataset page: https://huggingface.co/datasets/Pinkstack/Roblox_Luau_CoT_conversational_sharegpt_lqv1.