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 identifiertask_description: Natural language description of the tasktask_type: Category of task (information retrieval, action-based, etc.)trajectory: Sequence of tool calls representing the golden trajectorycheckpoints: Validation points for partial credit evaluationreference_*: 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.