WildChat

A corpus composed of real-world user interactions with ChatGPT.

InternationalSelectionchattingChatbotDataset

The WildChat dataset is a corpus consisting of one million real-world user interactions with ChatGPT, characterized by diverse language and user prompts. This dataset is used to fine-tune Meta's Llama-2 and create the WildLlama-7b-user-assistant chatbot, capable of predicting user prompts and assistant responses.

Provides interactive data in multiple languages
Reflects the diversity of user prompts
Used for training and optimizing chatbot models
Assists researchers and developers in understanding the interaction patterns between users and AI
Promotes the development of natural language processing technology

Suitable for researchers in the field of natural language processing
Suited for chatbot developers
Appropriate for businesses looking to enhance customer service experiences
Ideal for tech developers interested in artificial intelligence interaction

Used to train new chatbot models
Analyze common issues and patterns in user-AI interaction
Serve as a reference dataset in academic research

Step 1: Visit the WildChat dataset website
Step 2: Download the dataset and understand its structure and composition
Step 3: Select the corresponding interaction data for analysis according to research or development needs
Step 4: Use the dataset to train or optimize chatbot models
Step 5: Evaluate the performance of the chatbot to ensure it meets user requirements

Visit

WildChat Visit Over Time

Monthly Visits

1817

Bounce Rate

50.95%

Page per Visit

1.7

Visit Duration

00:01:25

WildChat Visit Trend

WildChat Visit Geography

WildChat Traffic Sources

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