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README.md

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+---
+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](https://joan.so/learning/ml/research/browser-automation/1+Building+The+Collection+Tool)**
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@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.