weblinx-browsergym / README.md
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metadata
tags:
  - image-to-text
  - vision
  - convAI
task_categories:
  - image-to-text
  - text-generation
  - text2text-generation
pretty_name: weblinx-browsergym
license: cc-by-nc-sa-4.0
language:
  - en

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Xing Han Lù*, Zdeněk Kasner*, Siva Reddy

This dataset was specifically created to allow WebLINX to be used inside the BrowserGym and Agentlab ecosystem. Please see the browsergym repository for more information.

The version associated with this library is WebLINX 1.1. In WebLINX 1.1, a small number of demonstrations were removed after processing, but no new demonstration was added. There are substantial changes to the steps being evaluated, with the inclusion of tab actions. Please report your results as "WebLINX-1.1", "WebLINX-BrowserGym" or "WebLINX-BG" in your work, to differentiate from the initial release of weblinx (1.0).

License and Terms of Use

License: The Dataset is made available under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

By downloading this Dataset, you agree to comply with the following terms of use:

  • Restrictions: You agree not to use the Dataset in any way that is unlawful or would infringe upon the rights of others.
  • Acknowledgment: By using the Dataset, you acknowledge that the Dataset may contain data derived from third-party sources, and you agree to abide by any additional terms and conditions that may apply to such third-party data.
  • Fair Use Declaration: The Dataset may be used for research if it constitutes "fair use" under copyright laws within your jurisdiction. You are responsible for ensuring your use complies with applicable laws.

Derivatives must also include the terms of use above.

Citation

If you use our dataset, please cite our work as follows:

@misc{lu-2024-weblinx,
      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}
}