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  num_examples: 100
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  download_size: 34438
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  dataset_size: 133363
 
 
 
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  num_examples: 100
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  download_size: 34438
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  dataset_size: 133363
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+ pretty_name: Halluminate Westworld
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+ # Halluminate Westworld
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+
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+ A benchmark for web agents to perform tasks on realistic websites.
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+
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+ Repo: https://github.com/Halluminate/westworld
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+
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+ Blog post: https://halluminate.ai/blog/westworld
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+
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+ ## Quick Start: Try a Task Yourself
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+
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+ Want to understand what the benchmark tasks look like? You can run them manually using our human-in-the-loop demo:
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+
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+ ### Step 1: Install with Browser Support
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+
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+ ```bash
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+ # Using uv (recommended)
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+ uv pip install -e ".[datasets,playwright]"
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+ python -m playwright install chromium
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+
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+ # Or using pip
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+ pip install -e ".[datasets,playwright]"
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+ python -m playwright install chromium
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+ ```
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+
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+ ### Step 2: Set Your API Key (for simulated environments)
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+
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+ ```bash
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+ export HALLUMINATE_API_KEY=your-key-here
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+ ```
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+ *contact wyatt@halluminate.ai for an api key*
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+
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+ ### Step 3: Run the Demo
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+
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+ You can run the demo in two ways:
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+
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+ **Option A: Run by dataset index**
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+ ```bash
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+ westworld-demo --index 0
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+ ```
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+
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+ **Option B: Run by specific task ID**
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+ ```bash
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+ westworld-demo --task-id westworld/azora/basic_checkout/0
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+ ```
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+
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+ **Alternative: Run as Python module**
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+ ```bash
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+ # By index
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+ python -m westworld.demo --index 0
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+
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+ # By task ID
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+ python -m westworld.demo --task-id westworld/azora/basic_checkout/0
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+ ```
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+
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+ ## Dataset
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+
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+ The benchmark dataset is available on [HuggingFace](https://huggingface.co/datasets/Halluminate/westworld):
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("Halluminate/westworld")
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+ ```
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+
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+ ## Usage
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+
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+ ### Loading and Running Tasks
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+
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+ ```python
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+ from westworld.base import DatasetItem, instantiate
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+
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+ # Load a task from the dataset
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+ task_item = DatasetItem(**dataset[0])
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+
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+ # Generate the task configuration
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+ task_config = task_item.generate_task_config()
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+
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+ # Access task details
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+ print(f"Task: {task_config.task}")
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+ print(f"URL: {task_config.url}")
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+ print(f"Evaluation Config: {task_config.eval_config}")
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+ ```
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+
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+ ### Task Categories
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+
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+ The benchmark includes the following task categories (L1 categories):
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+ - **e_commerce**: Online shopping tasks across multiple platforms
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+ - Basic checkout flows
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+ - Delivery instruction handling
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+ - Pickup order management
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+
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+ - **travel**: Travel booking and search tasks
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+ - Flight searches (basic, roundtrip, date ranges)
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+ - Airline-specific searches
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+ - Hotel searches
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+ - Budget-constrained searches
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+
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+
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+ ## License
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+ This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
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+
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+ ## Citation
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+
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+ If you use Halluminate Westworld in your research, please cite:
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+
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+ ```bibtex
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+ @software{halluminate_westworld,
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+ title = {Halluminate Westworld: A Web Agent Benchmark},
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+ author = {Halluminate},
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+ year = {2025},
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+ url = {https://github.com/Halluminate/westworld}
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+ }
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+ ```
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+
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+ ## Contributing
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+ Contributions are welcome! Please feel free to submit a Pull Request.
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+
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+ ## Contact
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+
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+ For questions or issues, please open an issue on [GitHub](https://github.com/Halluminate/westworld/issues).