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							@ -55,7 +55,23 @@ Then download data and pretrained weights:
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3. **Demo and test data**:
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   Download from this [Google Drive link](https://drive.google.com/file/d/1FZZjk0OvzETD5j4OODEghS_YppcS_ZbM/view?usp=sharing), then decompress the files into `./data/`.
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   Download from this [Google Drive link](https://drive.google.com/file/d/1FZZjk0OvzETD5j4OODEghS_YppcS_ZbM/view?usp=sharing), then decompress the files into `./data/`; or you can download from our 🤗 Hugging Face datasets library:
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```python
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from huggingface_hub import hf_hub_download, list_repo_files
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# Get list of all files in repo
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files = list_repo_files(repo_id="hyz317/PrimitiveAnything", repo_type="dataset")
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# Download each file
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for file in files:
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    file_path = hf_hub_download(
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        repo_id="hyz317/PrimitiveAnything",
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        filename=file,
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        repo_type="dataset",
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        local_dir='./data'
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    )
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```
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After downloading and organizing the files, your project directory should look like this:
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