weblinx 0.2.4

The official weblinx library

WebLINX

🤗Dataset	📄Paper	🌐Website	📓Colab
🤖Models	💻Explorer	🐦Tweets	🏆Leaderboard

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Xing Han Lù*, Zdeněk Kasner*, Siva Reddy
*Equal contribution

Installation

# Install the base package
pip install weblinx

# Install all dependencies
pip install weblinx[all]

# Install specific dependencies for...
# ...processing HTML
pip install weblinx[processing]
# ...video processing
pip install weblinx[video]
# ...development
pip install weblinx[dev]

Library Usage

Check out our documentation for more information on how to use WebLINX.

Modeling

Our modeling code is separate from the weblinx library, but requires it as a dependency. You can install the modeling code by running:

# First, install the base package
pip install weblinx

# THen, clone this repo
git clone https://github.com/McGill-NLP/weblinx
cd weblinx/modeling

For the rest of the instructions, please take a look at the modeling README.

Evaluation

To install packages necessary for evaluation, run:

pip install weblinx[eval]

You can now access the evaluation module by importing in Python:

import weblinx.eval

Use weblinx.eval.metrics for evaluation metrics, weblinx.eval.__init__ for useful evaluation-related functions. You may also find it useful to take a look at weblinx.processing.outputs to get an idea of how to use the outputs of the model for evaluation.

To run the automatic evaluation, you can use the following command:

python -m weblinx.eval --help

For more examples on how to use weblinx.eval, take a look at the modeling README.

Note: We are still working on the code for weblinx.eval and weblinx.processing.outputs. If you have any questions or would like to contribute docs, please feel free to open an issue or a pull request.

Citations

If you use this library, please cite our work using the following:

@misc{lù2024weblinx,
      title={WebLINX: Real-World Website Navigation with Multi-Turn Dialogue}, 
      author={Xing Han Lù and Zdeněk Kasner and Siva Reddy},
      year={2024},
      eprint={2402.05930},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}