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metadata
task_categories:
  - reinforcement-learning
  - question-answering
language:
  - en
size_categories:
  - n<1K
tags:
  - web-agents
  - browser-automation
  - human-demonstrations
  - web-navigation
  - multi-step-reasoning
license: mit

Mind2Web Subset - Human Demonstrations

A collection of human-demonstrated web navigation tasks with detailed interaction traces. This dataset captures real browser interactions including clicks, typing, scrolling, DOM states, screenshots, and HTTP requests for web agent training and evaluation.

Overview

This dataset contains tasks performed by humans in real web environments, capturing:

  • Golden trajectories: Step-by-step sequences of actions (clicks, typing, navigation)
  • Rich interaction data: DOM states, screenshots, videos, and HTTP request captures
  • Evaluation checkpoints: Intermediate validation points for multi-step tasks
  • Reproducible environments: Bundled browser states for agent exploration

Dataset Structure

Each task includes:

  • task_id: Unique identifier
  • task_description: Natural language description of the task
  • task_type: Category of task (information retrieval, action-based, etc.)
  • trajectory: Sequence of tool calls representing the golden trajectory
  • checkpoints: Validation points for partial credit evaluation
  • reference_*: URLs to supporting data (screenshots, videos, DOM snapshots, HTTP captures)

Use Cases

  • Training web agents with human demonstrations
  • Evaluating agent performance with granular checkpoints
  • Research on multi-hop and long-horizon web tasks
  • Reinforcement learning with reproducible web environments

Collection Methodology

Tasks were collected using a custom browser automation tool that captures:

  • Every user interaction (clicks, typing, scrolling)
  • DOM states at each step
  • Screenshots and video recordings
  • Intercepted HTTP/HTTPS requests
  • Complete browser session data for environment reproduction

For detailed information about the collection tool and methodology, visit: Building The Collection Tool

Citation

If you use this dataset, please cite:

@misc{mind2web-subset-human,
  title={Mind2Web Subset - Human Demonstrations},
  author={Joan Cabezas},
  year={2025},
  url={https://joan.so/learning/ml/research/browser-automation/1+Building+The+Collection+Tool}
}

License

MIT License - See repository for details.