title: WildChat: 1M ChatGPT Interaction Logs in the Wild
summary: Chatbots such as GPT-4 and ChatGPT are now serving millions of users. Despite
  their widespread use, there remains a lack of public datasets showcasing how
  these tools are used by a population of users in practice. To bridge this gap,
  we offered free access to ChatGPT for online users in exchange for their
  affirmative, consensual opt-in to anonymously collect their chat transcripts
  and request headers. From this, we compiled WildChat, a corpus of 1 million
  user-ChatGPT conversations, which consists of over 2.5 million interaction
  turns. We compare WildChat with other popular user-chatbot interaction
  datasets, and find that our dataset offers the most diverse user prompts,
  contains the largest number of languages, and presents the richest variety of
  potentially toxic use-cases for researchers to study. In addition to
  timestamped chat transcripts, we enrich the dataset with demographic data,
  including state, country, and hashed IP addresses, alongside request headers.
  This augmentation allows for more detailed analysis of user behaviors across
  different geographical regions and temporal dimensions. Finally, because it
  captures a broad range of use cases, we demonstrate the dataset's potential
  utility in fine-tuning instruction-following models. WildChat is released at
  https://wildchat.allen.ai under AI2 ImpACT Licenses.
paper_authors._id: 663448bda41adb34338cfcfe
paper_authors.name: Wenting Zhao
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-09-06T16:19:50.672Z
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paper_authors.fullname: Wenting Zhao
paper_authors.type: user
paper_authors.user: wentingzhao
paper_authors._id: 663448bda41adb34338cfcff
paper_authors.name: Xiang Ren
paper_authors._id: 663448bda41adb34338cfd00
paper_authors.name: Jack Hessel
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-03T07:41:47.441Z
paper_authors._id: 625498644f4edf771516b2cb
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1664497251391-625498644f4edf771516b2cb.jpeg
paper_authors.fullname: Jack Hessel
paper_authors.type: user
paper_authors.user: jmhessel
paper_authors._id: 663448bda41adb34338cfd01
paper_authors.name: Claire Cardie
paper_authors._id: 663448bda41adb34338cfd02
paper_authors.name: Yejin Choi
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-03T07:42:03.378Z
paper_authors._id: 64d42729f63b01b7f676b176
paper_authors.avatarUrl: /avatars/52e54bdd6a1fb6c774a40cd70f3d7925.svg
paper_authors.fullname: Yejin Choi
paper_authors.type: user
paper_authors.user: yejinchoinka
paper_authors._id: 663448bda41adb34338cfd03
paper_authors.name: Yuntian Deng
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-03T07:42:15.835Z
paper_authors._id: 63081e15a670ed10f9d44229
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/63081e15a670ed10f9d44229/w1b9uq-9774bMMgJbSPsS.jpeg
paper_authors.fullname: Yuntian Deng
paper_authors.type: user
paper_authors.user: yuntian-deng
paper_title: WildChat: 1M ChatGPT Interaction Logs in the Wild
paper_summary: Chatbots such as GPT-4 and ChatGPT are now serving millions of users. Despite
  their widespread use, there remains a lack of public datasets showcasing how
  these tools are used by a population of users in practice. To bridge this gap,
  we offered free access to ChatGPT for online users in exchange for their
  affirmative, consensual opt-in to anonymously collect their chat transcripts
  and request headers. From this, we compiled WildChat, a corpus of 1 million
  user-ChatGPT conversations, which consists of over 2.5 million interaction
  turns. We compare WildChat with other popular user-chatbot interaction
  datasets, and find that our dataset offers the most diverse user prompts,
  contains the largest number of languages, and presents the richest variety of
  potentially toxic use-cases for researchers to study. In addition to
  timestamped chat transcripts, we enrich the dataset with demographic data,
  including state, country, and hashed IP addresses, alongside request headers.
  This augmentation allows for more detailed analysis of user behaviors across
  different geographical regions and temporal dimensions. Finally, because it
  captures a broad range of use cases, we demonstrate the dataset's potential
  utility in fine-tuning instruction-following models. WildChat is released at
  https://wildchat.allen.ai under AI2 ImpACT Licenses.