| # [WebLINX: Real-World Website Navigation with Multi-Turn Dialogue](https://mcgill-nlp.github.io/weblinx) | |
| *Xing Han Lù, Zdeněk Kasner, Siva Reddy* | |
| ## Quickstart | |
| To get started, simply install `datasets` with `pip install datasets` and load the chat data splits: | |
| ```python | |
| from datasets import load_dataset | |
| # Load the training, validation and test (IID) splits | |
| train = load_dataset("McGill-NLP/weblinx", "train") | |
| val = load_dataset("McGill-NLP/weblinx", "valid") | |
| test = load_dataset("McGill-NLP/weblinx", "test") | |
| # Load one of the 4 out-of-domain splits (web, vis, geo, cat) | |
| ood = load_dataset("McGill-NLP/weblinx", "web") | |
| ``` | |
| ## Raw Data | |
| To use the raw data, you will need to use the `huggingface_hub`: | |
| ```python | |
| from huggingface_hub import snapshot_download | |
| snapshot_download(repo_id="McGill-NLP/WebLINX", repo_type="dataset", local_dir="./data/webtasks") | |
| ``` |