WildChat / research hub

Dataset guide

Choose a WildChat release

Match the collection and filtering to the research question.

Start with the open WildChat-4.8M release. Full releases include flagged content and require an access request. For replication, match the repository, revision, and filters used by the original study.

Current downloads and access requests: yuntian-deng/WildChat-4.8M and yuntian-deng/WildChat-4.8M-Full. Request Full access in the latter repository.

Counts and access information checked October 19, 2026 against the linked dataset cards.

Available releases

WildChat-4.8M

Open download; toxicity-filtered

The expanded human–ChatGPT collection, excluding conversations flagged by OpenAI Moderation or Detoxify.

Current count
3,199,860 conversations.
Collection coverage
Through July 31, 2025.
Models
GPT-3.5, GPT-4, GPT-4 Turbo, GPT-4o, GPT-4.1 mini, o1-mini, o1-preview
Research use
Projects using toxicity-filtered conversations.

Dataset card and count source

WildChat-4.8M-Full

Gated; access request required

Includes flagged and unflagged conversations, excluding the sexual/minors category. Contains 122,921 o1-mini/o1-preview conversations.

Current count
4,743,336 after removing conversations flagged in the sexual/minors category, from an original 4,804,190.
Collection coverage
Through July 31, 2025; updated August 11, 2025.
Models
GPT-3.5, GPT-4, GPT-4 Turbo, GPT-4o, GPT-4.1 mini, o1-mini, o1-preview
Research use
Research on flagged content.

Dataset card and count source

Working with the data

Choose and record a snapshot

Use the yuntian-deng repositories linked here for downloads and access requests. To reproduce an earlier study, match its collection window, revision, and filters. Source.

Request Full access

Submit an access request on yuntian-deng/WildChat-4.8M-Full explaining why your work needs flagged content. Requests are reviewed manually. Source.

Keep evaluation data separate

The processing pipeline removes conversations reserved for WildBench. Preserve that separation when constructing training sets or comparing with the benchmark. Source.

WildChat-50M

WildChat-50M, by Benjamin Feuer and Chinmay Hegde, adds responses from more than 50 open-weight models to WildChat prompts. Source.

Cite WildChat and WildVis

Cite Zhao, Ren, Hessel, Cardie, Choi, and Deng’s ICLR 2024 WildChat paper for the dataset. Cite the WildVis paper when using the visualizer, and identify the downloaded release and revision. Source.

Check terms and removal instructions

The Full release card lists ODC-BY and explains how to request removal using conversation hashes or turn identifiers and the contact details on Yuntian Deng’s homepage. Source.

Geographic metadata

Geographic locations are inferred from IP addresses. Section 6 of the paper describes the service’s user population and sampling biases. Source.

Conversation and turn identifiers

In the expanded releases, conversation_hash is a content hash and can repeat across conversations. turn_identifier uniquely identifies each turn. Source.

Read the ODC-BY license and the Full release card for terms and collection details. For removal requests, follow the dataset card’s instructions.

Collection and release milestones

The original paper describes an approximately one-million-conversation corpus. The 4.8M releases extend the collection through July 2025 and add more models.

April 9, 2023

Start of the collection window reported for the expanded corpus in the May 2024 paper. Source.

Collection start.

May 2, 2024

The WildChat arXiv version describes the expanded one-million-conversation corpus. Source.

First arXiv version.

August 11, 2025

The 4.8M release update extends coverage to before August 1, 2025 and adds secret scanning. Source.

Collection through July 31, 2025.

Download this release guide as JSON