datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
allenai-WildChat
AllenAI WildChat Combined Dataset
This unofficial repository provides the AllenAI WildChat Combined Dataset, which merges the WildChat-4.8M and WildChat-1M collections of human–ChatGPT conversations.
WildChat-1M contains 1 million chats, of which 25.53% are from GPT‑4 and the remainder from GPT‑3.5. These conversations cover a wide range of complex interactions, including code-switching, ambiguity, and political topics.
WildChat-4.8M originally comprised 4.8 million conversations.… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/allenai-WildChat.allenai-WildChat-4.8Mwildchat-filtered
WildChat Filtered Dataset
This is a filtered version of the WildChat-4.8M dataset.
Dataset Description
This dataset contains 3,199,860 conversations between human users and ChatGPT, filtered to keep only the essential conversation structure.
Data Structure
Each conversation contains only:
conversations: A list of message objects with:
role: Either "user" or "assistant"
content: The text content of the message
All other metadata (timestamps, moderation… See the full description on the dataset page: https://huggingface.co/datasets/rayonlabs/wildchat-filtered.synthid-qwen3-4b-instruct-2507-wildchat
Qwen3-4B SynthID three-arm corpus
This export contains aligned unwatermarked, SynthID key-A, and SynthID key-B
responses from Qwen/Qwen3-4B-Instruct-2507. Matched splits share prompts
and request seeds across configurations; unmatched splits use mutually disjoint
prompt pools.
Export complete for its source work queue: true.
Generation profile
Model revision: cdbee75f17c01a7cc42f958dc650907174af0554
Native model dtype: bfloat16
Maximum generated tokens: 4096… See the full description on the dataset page: https://huggingface.co/datasets/xlr8harder/synthid-qwen3-4b-instruct-2507-wildchat.ro-WildChatThis dataset is a translation of allenai/WildChat using LLMic, a bilingual Romanian-English LLM.
WildChat is a collection of 650K conversations between human users and ChatGPT.
License: ODC-BY
@inproceedings{
zhao2024wildchat,
title={WildChat: 1M Chat{GPT} Interaction Logs in the Wild},
author={Wenting Zhao and Xiang Ren and Jack Hessel and Claire Cardie and Yejin Choi and Yuntian Deng},
booktitle={The Twelfth International Conference on Learning Representations},
year={2024}… See the full description on the dataset page: https://huggingface.co/datasets/faur-ai/ro-WildChat.aria-wildchat-sft-v1
Aria v1 Instruction Dataset
What This Is
Aria is a demonstration of a different way of developing model personas, one in which the models themselves participate.
We believe that existing model alignment techniques that focus on rule-following are more fragile than a system with a stable identity, where behavior can flow from that identity. We think a model should have a clear sense of what it is, what its perspective is, what its history is, and that these things should… See the full description on the dataset page: https://huggingface.co/datasets/xlr8harder/aria-wildchat-sft-v1.allenai-WildChat-4.8M-prompts
allenai/WildChat-4.8M English Prompts
Dataset Summary
This dataset contains real user-submitted prompts to ChatGPT, extracted from the English portion of the allenai/WildChat-4.8M collection.
It serves as a large-scale resource for analyzing user intent, conversational diversity, and prompt engineering patterns.
Files
en_prompts: All English-language first messages from user conversations.
Each record represents the first user prompt.
Exact duplicates are… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/allenai-WildChat-4.8M-prompts.Slim-Wildchat-zhA big shout out to AllenAI, you guys rock!
从WildChat中抽出中文对话,但是因为发现了很多重复对话，有的人会反复的用一个prompt进行提问，有的人会换3.5或4去问同样的问题，所以进行了简单的去重。
去重方法大致为，使用bert-base-chinese将第一个问题转换为embedding，使用类knn的方法抽取了1万条。并转换成了sharegpt格式。
注意！在对话中发现了NSFW的内容，并没有进行过滤，使用请注意甄别。
你会找到三个jsonl文件：
wildchat-seed-multi-200.json 是使用每一个单独的Dialogue的首个HumanQuestion为基础，采样的200个种子任务，用于EvolInsturction。
Subsample_10K.jsonl 原始版本，是使用每一个单独的Dialogue的首个HumanQuestion为基础，采样的1万个对话。
1213_Wildchat_zh_Sharegpt_ConcatSubsample_20k.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/lorinma/Slim-Wildchat-zh.allenai_WildChat-1M-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT
allenai_WildChat-1M-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT
PJMixers-Dev/allenai_WildChat-1M-prompts with responses generated with gemini-2.0-flash-thinking-exp-1219.
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 =… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Dev/allenai_WildChat-1M-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT.WildChat-Filtered
WildChat-Filtered
資料集概述
來源：allenai/WildChat 的 train split（真實使用者與聊天模型的對話紀錄）。
用途：多語系 SFT（supervised fine-tuning）多輪對話訓練資料。
主要輸出：datasets.jsonl（39,564 筆，messages 為標準 chat 格式）。
篩選重點：只保留 gpt-4 的回應、剔除中文對話與截斷回答、剔除會洩漏模型身分的對話，並經過污染掃描的人工判讀。
Splits
Split
檔案
說明
train
datasets.jsonl
全量 39,564 筆，未再切分 validation/test
資料處理流程
來源載入：取用 allenai/WildChat 的 train split。
模型過濾：只保留由 gpt-4 產生回應的對話。
完整性過濾：以句尾標點判定回答是否完整，剔除疑似被截斷的回應。… See the full description on the dataset page: https://huggingface.co/datasets/minyichen/WildChat-Filtered.wildchat-1m-filtered
Dataset Card for natong19/wildchat-1m-filtered
Filtered version of allenai/WildChat-1M, a collection of one million real-world conversations with ChatGPT. Contains both non-toxic and toxic conversations.
Data cleaning process same as natong19/lmsys-chat-1m-filtered.
Overview of filtering process:
1. Filtering REDACTED Entries
Entries that were labeled as REDACTED due to containing Personally Identifiable Information (PII) were removed.
1039785 samples -> 1032087… See the full description on the dataset page: https://huggingface.co/datasets/natong19/wildchat-1m-filtered.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.wildchat-progressive-summaries
Dataset Card for WildChat progressive dialogue summaries
This dataset consists of 4,650 high-quality, dense dialogue-summary pairs designed for training lightweight, long-context models on technical and multi-turn dialogue summarization. The training samples are structured in a standard ChatML conversational format.
Generation Methodology
The dataset leverages a progressive multi-turn accumulation strategy:
Source Selection: Real-world multi-turn conversational… See the full description on the dataset page: https://huggingface.co/datasets/75WattLab/wildchat-progressive-summaries.wildchat-100k-qwen
WildChat 100k Qwen cleaned
Danish WildChat prompt generations with a cleaned response set. This revision merges regenerated responses for high-refusal target rows, removes high-precision unwanted refusal rows, drops extreme over-length samples, and removes a detected system-prompt leak row.
The dataset keeps the same row schema as the previous synquid/wildchat-100k-qwen upload.
Cleaning summary:
Source rows: 99,983
Kept rows: 99,688
Replaced responses: 3,683
Dropped rows: 295… See the full description on the dataset page: https://huggingface.co/datasets/synquid/wildchat-100k-qwen.allenai_WildChat-1M-gemini-exp-1206-ShareGPT
allenai_WildChat-1M-gemini-exp-1206-ShareGPT
PJMixers-Dev/allenai_WildChat-1M-prompts with responses generated with gemini-exp-1206.
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/allenai_WildChat-1M-gemini-exp-1206-ShareGPT.