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。