SoccerNet/SN-MVFouls-2025

--- license: gpl-3.0 --- # SoccerNet Challenge 2025 - Multi-View Fouls Recognition ## Download the dataset Install the huggingface_hub pip package: ```bash pip install huggingface_hub[cli] ``` Download the dataset with the following Python code : ```python from huggingface_hub import snapshot_download snapshot_download(repo_id="SoccerNet/SN-MVFouls-2025", repo_type="dataset", revision="main", local_dir="SoccerNet/SN-MVFouls-2025") ``` ## Unzip the dataset splits The zipped folder contains videos from the original [SoccerNet dataset](https://www.soccer-net.org/data), which is password-protected. You will receive that password after signing the [SoccerNet NDA](https://docs.google.com/forms/d/e/1FAIpQLSfYFqjZNm4IgwGnyJXDPk2Ko_lZcbVtYX73w5lf6din5nxfmA/viewform).许可证：GPL-3.0 # SoccerNet挑战赛2025——多视角犯规识别 ## 下载数据集 安装包含命令行工具的huggingface_hub Python包： bash pip install huggingface_hub[cli] 使用以下Python代码下载数据集： python from huggingface_hub import snapshot_download snapshot_download(repo_id="SoccerNet/SN-MVFouls-2025", repo_type="dataset", revision="main", local_dir="SoccerNet/SN-MVFouls-2025") ## 解压数据集拆分文件 压缩包包含原始[SoccerNet数据集](https://www.soccer-net.org/data)的视频资源，该数据集受密码保护。您需先签署[SoccerNet保密协议（NDA）](https://docs.google.com/forms/d/e/1FAIpQLSfYFqjZNm4IgwGnyJXDPk2Ko_lZcbVtYX73w5lf6din5nxfmA/viewform)，之后将获取该解压所需的密码。