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@@ -104,7 +104,14 @@ 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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  ```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="./wl_data")
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+
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+ # You can download specific demos, for example
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+ demo_names = ['saabwsg', 'ygprzve', 'iqaazif'] # 3 random demo from valid
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+ patterns = [f"demonstrations/{name}/*" for name in demo_names]
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+ snapshot_download(
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+ repo_id="McGill-NLP/WebLINX-full", repo_type="dataset", local_dir="./wl_data", allow_patterns=patterns
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+ )
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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).