Datasets:
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README.md
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- convAI
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- convAI
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# WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
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*Xing Han Lù, Zdeněk Kasner, Siva Reddy*
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[Link to the website](https://mcgill-nlp.github.io/weblinx)
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## Quickstart
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To get started, simply install `datasets` with `pip install datasets` and load the chat data splits:
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```python
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from datasets import load_dataset
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# Load the training, validation and test (IID) splits
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train = load_dataset("McGill-NLP/weblinx", "train")
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valid = load_dataset("McGill-NLP/weblinx", "valid")
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test = load_dataset("McGill-NLP/weblinx", "test")
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# Load one of the 4 out-of-domain splits (test_web, test_vis, test_geo, test_cat)
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test_web = load_dataset("McGill-NLP/weblinx", "test_web")
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```
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## Raw Data
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To use the raw data, you will need to use the `huggingface_hub`:
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```python
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from huggingface_hub import snapshot_download
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snapshot_download(repo_id="McGill-NLP/WebLINX-full", repo_type="dataset", local_dir="./data/weblinx")
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```
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For more information on how to use this data using our [official library](https://github.com/McGill-NLP/WebLINX), please refer to the [WebLINX documentation](https://mcgill-nlp.github.io/WebLINX/docs).
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