README.md

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

Xing Han Lù, Zdeněk Kasner, Siva Reddy

Quickstart

To get started, simply install datasets with pip install datasets and load the chat data splits:

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:

from huggingface_hub import snapshot_download

snapshot_download(repo_id="McGill-NLP/WebLINX", repo_type="dataset", local_dir="./data/webtasks")