language:en size_categories:10K<n<100K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars arxiv:2412.09605 region:us
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# AgentTrek Data Collection
AgentTrek dataset is the training dataset for the Web agent AgentTrek-1.0-32B. It consists of a total of 52,594 dialogue turns, specifically designed to train a language model for performing web-based tasks, such as browsing and web shopping. The dialogues in this dataset simulate interactions where the agent assists users in tasks like searching for information, comparing products, making purchasing decisions, and navigating websites.

## Dataset Features:
- Total Dialogue Turns: 52,594
- Task Scope: The dialogues span a variety of web-related tasks, including browsing, online shopping, product comparison, and information retrieval.
- Annotation: Each dialogue turn includes both the user input and the system output, reflecting the real-time interaction between the user and the agent in the context of web agent tasks.

## Dataset Details
- Project Page: Visit the [project page](https://agenttrek.github.io/).
- Repository: Access the [GitHub repository](https://github.com/xlang-ai/AgentTrek/).
- Paper: Read the [research paper](https://arxiv.org/abs/2412.09605).


