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README.md
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<h2 id="how-to-download" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📥 How to Download</h2>
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<p style="text-align: justify;">
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PhysInOne is distributed across multiple Hugging Face dataset repositories because of its large scale. We provide two scripts for selecting and downloading cases:
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- `filter_cases.py`: parses the case-to-repository assignment file and exports selected cases to JSON.
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- `download.py`: downloads the selected case zip files from the corresponding Hugging Face shard repositories.
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<h3 id="download-scripts" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">1. Download Scripts</h3>
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<h3 id="install-dependencies" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">2. Install Dependencies</h3>
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Export a JSON file containing case information matching your filter criteria, for use in subsequent download scripts. The `filter_cases.py` script supports selection by:
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- Split: `train`, `val`, `test`
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- Number of cases: globally sample `num` cases after filtering
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The following examples show common filtering workflows.
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</div>
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<h2 id="how-to-download" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📥 How to Download</h2>
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<h3 id="download-scripts" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">1. Download Scripts</h3>
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<div style="margin-left: 40px;">
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</div>
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<div style="margin-left: 24px;">
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<p style="text-align: justify;">
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PhysInOne is distributed across multiple Hugging Face dataset repositories because of its large scale. We provide two scripts for selecting and downloading cases:
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- `filter_cases.py`: parses the case-to-repository assignment file and exports selected cases to JSON.
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- `download.py`: downloads the selected case zip files from the corresponding Hugging Face shard repositories.
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</p>
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</div>
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<h3 id="install-dependencies" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">2. Install Dependencies</h3>
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<div style="margin-left: 40px;">
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<div style="margin-left: 40px;">
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<p style="text-align: justify;">
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Export a JSON file containing case information matching your filter criteria, for use in subsequent download scripts. The `filter_cases.py` script supports selection by:
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- Split: `train`, `val`, `test`
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- Number of cases: globally sample `num` cases after filtering
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The following examples show common filtering workflows.
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</p>
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</div>
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