---
title: WildChat
canonical_url: "https://www.modelscope.cn/datasets/thomas/WildChat"
md_url: "https://www.modelscope.cn/datasets/thomas/WildChat.md"
repository: thomas/WildChat
last_updated: 2024-06-18
license: "Apache License 2.0"
storage_size: "2.0 GB"
downloads: 449
stars: 1
---

# WildChat

> WildChat - thomas 在 ModelScope 开源的数据集。Dataset Card for WildChat

thomas/WildChat 是 ModelScope 魔搭社区上的数据集，存储大小 2.0 GB，采用 Apache License 2.0 许可。

- **Repository**: thomas/WildChat
- **License**: Apache License 2.0
- **Storage size**: 2.0 GB
- **Downloads**: 449
- **Stars**: 1
- **Last updated**: 2024-06-18

Source: https://www.modelscope.cn/datasets/thomas/WildChat

---

# Dataset Card for WildChat

## Note: a newer version with 1 million conversations and demographic information can be found [here](https://huggingface.co/datasets/allenai/WildChat-1M).

## Dataset Description
 
- **Paper:** https://openreview.net/pdf?id=Bl8u7ZRlbM

- **License:** https://allenai.org/licenses/impact-lr

- **Language(s) (NLP):** multi-lingual

- **Point of Contact:** [Yuntian Deng](mailto:yuntiand@allenai.org)

### Dataset Summary

WildChat is a collection of 650K conversations between human users and ChatGPT. We collected WildChat by offering online users free access to OpenAI's GPT-3.5 and GPT-4. The dataset contains a broad spectrum of user-chatbot interactions that are not previously covered by other instruction fine-tuning datasets: for example, interactions include ambiguous user requests, code-switching, topic-switching, political discussions, etc. WildChat can serve both as a dataset for instructional fine-tuning and as a valuable resource for studying user behaviors. Note that this dataset contains toxic user inputs/ChatGPT responses. A nontoxic subset of this dataest can be found [here](https://huggingface.co/datasets/allenai/WildChat-nontoxic).

WildChat has been openly released under AI2's ImpACT license as a low-risk artifact. The use of WildChat to cause harm is strictly prohibited.

### Languages

66 languages were detected in WildChat.

### Personal and Sensitive Information

The data has been de-identified with Microsoft Presidio and hand-written rules by the authors.

### Data Fields

- `conversation_id` (string): Each conversation has a unique id.
- `model` (string): The underlying OpenAI model, such as gpt-3.5-turbo or gpt-4.
- `timestamp` (timestamp): The timestamp of the last turn in the conversation in UTC.
- `conversation` (list): A list of user/assistant utterances. Each utterance is a dictionary containing the `role` of the speaker (user or assistant), the `content` of the utterance, the detected `language` of the utterance, whether the content of the utterance is considered `toxic`, and whether PII has been detected and anonymized (`redacted`).
- `turn` (int): The number of turns in the conversation. A turn refers to one round of user-assistant interaction.
- `language` (string): The language of the conversation. Note that this is the most frequently detected language in the utterances of the conversation.
- `openai_moderation` (list): A list of OpenAI Moderation results. Each element in the list corresponds to one utterance in the conversation.
- `detoxify_moderation` (list): A list of Detoxify results. Each element in the list corresponds to one utterance in the conversation.
- `toxic` (bool): Whether this conversation contains any utterances considered to be toxic by either OpenAI Moderation or Detoxify.
- `redacted` (bool): Whether this conversation contains any utterances in which PII is detected and anonymized.

### Empty User Inputs

This dataset includes a small subset of conversations where users submitted empty inputs, sometimes leading to hallucinated responses from the assistant. This issue, first noticed by @yuchenlin, arises from the design of our Huggingface chatbot used for data collection, which did not restrict the submission of empty inputs. As a result, users could submit without entering any text, causing the assistant to generate responses without any user prompts. This occurs in a small fraction of the dataset---12,405 out of 652,139 conversations.

### Licensing Information

WildChat is made available under the [**AI2
  ImpACT License - Low Risk Artifacts ("LR
  Agreement")**](https://allenai.org/licenses/impact-lr)

### Citation Information

Please consider citing [our paper](https://arxiv.org/abs/2405.01470) if you find this dataset useful:
```
@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},
url={https://openreview.net/forum?id=Bl8u7ZRlbM}
}
```