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license: gpl-3.0 |
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# SoccerNet Challenge 2025 - Team Ball Action Spotting |
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## Download the dataset |
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Install the huggingface_hub pip package: |
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```bash |
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pip install huggingface_hub[cli] |
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``` |
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Download the dataset with the following Python code : |
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```python |
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from huggingface_hub import snapshot_download |
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snapshot_download(repo_id="SoccerNet/SN-BAS-2025", |
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repo_type="dataset", revision="main", |
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local_dir="SoccerNet/SN-BAS-2025") |
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``` |
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## Unzip the dataset splits |
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The zipped folder contains videos from the original [SoccerNet dataset](https://www.soccer-net.org/data), which is password-protected. |
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You will receive that password after signing the [SoccerNet NDA](https://docs.google.com/forms/d/e/1FAIpQLSfYFqjZNm4IgwGnyJXDPk2Ko_lZcbVtYX73w5lf6din5nxfmA/viewform). |
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