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@@ -105,14 +105,17 @@ Create your virtual environment to help manage dependencies and prevent conflict
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  This script is helpful for quick local inspection, prototyping, or lightweight evaluation without downloading the full dataset.
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  Usage:
 
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  python3 utils/sample_swim.py --output-dir ./samples --count 100
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  Arguments:
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  --repo-id Hugging Face dataset repository ID
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  --image-subdir Path to image subdirectory inside the dataset repo
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  --label-subdir Path to corresponding label subdirectory
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  --output-dir Directory to save downloaded files
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  --count Number of samples to download
 
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  Example Usage with all args:
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  ```
@@ -135,12 +138,16 @@ Features:
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  This script can download the complete dataset for model training or offline access.
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  Usage:
 
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  # Download all chunks (flattened/ YOLO format)
 
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  python utils/download_swim.py --output-dir ./SWiM --flatten
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  # Download specific chunks
 
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  python3 utils/download_swim.py --chunks 000 001 002 --flatten False
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-
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  Arguments:
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  --repo-id Hugging Face dataset repository ID
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  --images-parent Parent directory for image chunks (e.g., Baseline/images/train)
@@ -148,7 +155,7 @@ Arguments:
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  --output-dir Where to save the downloaded dataset
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  --flatten Run with "--flatten" to flatten directories. If you want hierarchical chunk folders, omit --flatten
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  --chunks Specific chunk names (e.g., 000 001); omit to download all
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-
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  Example usage with all args:
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  ```
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  python3 utils/download_swim.py
 
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  This script is helpful for quick local inspection, prototyping, or lightweight evaluation without downloading the full dataset.
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  Usage:
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+
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  python3 utils/sample_swim.py --output-dir ./samples --count 100
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+ ```
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  Arguments:
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  --repo-id Hugging Face dataset repository ID
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  --image-subdir Path to image subdirectory inside the dataset repo
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  --label-subdir Path to corresponding label subdirectory
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  --output-dir Directory to save downloaded files
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  --count Number of samples to download
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+ ```
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  Example Usage with all args:
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  ```
 
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  This script can download the complete dataset for model training or offline access.
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  Usage:
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+
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  # Download all chunks (flattened/ YOLO format)
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+
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  python utils/download_swim.py --output-dir ./SWiM --flatten
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+
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  # Download specific chunks
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+
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  python3 utils/download_swim.py --chunks 000 001 002 --flatten False
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+ ```
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  Arguments:
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  --repo-id Hugging Face dataset repository ID
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  --images-parent Parent directory for image chunks (e.g., Baseline/images/train)
 
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  --output-dir Where to save the downloaded dataset
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  --flatten Run with "--flatten" to flatten directories. If you want hierarchical chunk folders, omit --flatten
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  --chunks Specific chunk names (e.g., 000 001); omit to download all
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+ ```
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  Example usage with all args:
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  ```
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  python3 utils/download_swim.py