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--- |
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task_categories: |
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- reinforcement-learning |
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- question-answering |
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language: |
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- en |
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size_categories: |
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- n<1K |
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tags: |
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- web-agents |
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- browser-automation |
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- human-demonstrations |
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- web-navigation |
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- multi-step-reasoning |
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license: mit |
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--- |
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# Mind2Web Subset - Human Demonstrations |
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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. |
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## Overview |
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This dataset contains tasks performed by humans in real web environments, capturing: |
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- **Golden trajectories**: Step-by-step sequences of actions (clicks, typing, navigation) |
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- **Rich interaction data**: DOM states, screenshots, videos, and HTTP request captures |
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- **Evaluation checkpoints**: Intermediate validation points for multi-step tasks |
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- **Reproducible environments**: Bundled browser states for agent exploration |
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## Dataset Structure |
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Each task includes: |
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- `task_id`: Unique identifier |
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- `task_description`: Natural language description of the task |
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- `task_type`: Category of task (information retrieval, action-based, etc.) |
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- `trajectory`: Sequence of tool calls representing the golden trajectory |
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- `checkpoints`: Validation points for partial credit evaluation |
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- `reference_*`: URLs to supporting data (screenshots, videos, DOM snapshots, HTTP captures) |
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## Use Cases |
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- Training web agents with human demonstrations |
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- Evaluating agent performance with granular checkpoints |
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- Research on multi-hop and long-horizon web tasks |
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- Reinforcement learning with reproducible web environments |
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## Collection Methodology |
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Tasks were collected using a custom browser automation tool that captures: |
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- Every user interaction (clicks, typing, scrolling) |
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- DOM states at each step |
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- Screenshots and video recordings |
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- Intercepted HTTP/HTTPS requests |
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- Complete browser session data for environment reproduction |
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For detailed information about the collection tool and methodology, visit: |
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**[Building The Collection Tool](https://joan.so/learning/ml/research/browser-automation/1+Building+The+Collection+Tool)** |
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## Citation |
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If you use this dataset, please cite: |
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```bibtex |
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@misc{mind2web-subset-human, |
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title={Mind2Web Subset - Human Demonstrations}, |
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author={Joan Cabezas}, |
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year={2025}, |
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url={https://joan.so/learning/ml/research/browser-automation/1+Building+The+Collection+Tool} |
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} |
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``` |
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## License |
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MIT License - See repository for details. |
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