---
title: FIFA_World_Cup_Games
canonical_url: "https://www.modelscope.cn/datasets/choucisan/FIFA_World_Cup_Games"
md_url: "https://www.modelscope.cn/datasets/choucisan/FIFA_World_Cup_Games.md"
repository: choucisan/FIFA_World_Cup_Games
last_updated: 2026-07-08
license: MIT
storage_size: "12 MB"
downloads: 336
stars: 1
---

# FIFA_World_Cup_Games

> FIFA_World_Cup_Games - choucisan 在 ModelScope 开源的数据集。中文  ｜ English

choucisan/FIFA_World_Cup_Games 是 ModelScope 魔搭社区上的数据集，存储大小 12 MB，采用 MIT 许可。

- **Repository**: choucisan/FIFA_World_Cup_Games
- **License**: MIT
- **Storage size**: 12 MB
- **Downloads**: 336
- **Stars**: 1
- **Last updated**: 2026-07-08

Source: https://www.modelscope.cn/datasets/choucisan/FIFA_World_Cup_Games

---

<p align="left">
    <a href="README_CN.md">中文</a>&nbsp;｜&nbsp;English
</p>
<br>

# FIFA World Cup Full-Match Video Dataset

<p align="center">
  <img src="images/poster.jpeg" alt="FIFA World Cup Full-Match Video Dataset" width="900"/>
</p>

<p align="center">
  <a href="https://github.com/choucisan/fwc_games"><img src="https://img.shields.io/badge/GitHub-World_Cup_Dataset-181717?style=for-the-badge&logo=github" alt="GitHub"></a>
  &nbsp;
  <a href="https://huggingface.co/datasets/choucsan/FIFA_World_Cup_Games"><img src="https://img.shields.io/badge/%F0%9F%A4%97_HuggingFace-Dataset-yellow?style=for-the-badge" alt="Hugging Face"></a>
  &nbsp;
  <a href="https://modelscope.cn/datasets/choucisan/FIFA_World_Cup_Games"><img src="https://img.shields.io/badge/ModelScope-Dataset-624aff?style=for-the-badge" alt="ModelScope"></a>
  &nbsp;
  <a href="https://choucisan.github.io/collections/fwc_games"><img src="https://img.shields.io/badge/Blog-Post-blue?style=for-the-badge" alt="Blog"></a>
  &nbsp;
  <a href="https://www.xiaohongshu.com/explore/6a28347e0000000016024961?xsec_token=ABKSEs1qbAzc4ocZhDx0e9CkuEQAXtCOPcoFbcRJaufac=&xsec_source=pc_user"><img src="https://img.shields.io/badge/RedNote-Post-red?style=for-the-badge" alt="RedNote"></a>
  &nbsp;
  <a href="https://choosealicense.com/licenses/mit"><img src="https://img.shields.io/badge/License-MIT-green?style=for-the-badge" alt="License"></a>
</p>

This dataset provides YouTube full-match references and structured match annotations for classic FIFA World Cup games. Instead of redistributing video files, it stores YouTube video IDs and URLs, then links each retained match to structured football data including match metadata, team statistics, lineups, formations, text event timelines, and pre-match prediction polls.

---

## Pipeline

1. **Playlist extraction**: Extracted video IDs, URLs, titles from the YouTube FIFA full-match playlist [`PLCGIzmTE4d0jq6wHT2TvSspZ_HLiIx4_y`](https://www.youtube.com/playlist?list=PLCGIzmTE4d0jq6wHT2TvSspZ_HLiIx4_y).
2. **Match normalization**: Parsed team names and World Cup editions from YouTube titles.
3. **External match linking**: Linked videos to Soccer365 match pages.
4. **Structured data crawling**: Crawled match metadata, stadium info, lineups, formations, team stats, event timelines, and prediction polls.

---

## Dataset Structure

```
FIFA_World_Cup_Games/
├── images/
│   └── poster.jpeg
├── meta.jsonl                 # Match metadata
├── team_stats.jsonl           # Team statistics
├── lineups.jsonl              # Lineups and formations
├── events.jsonl               # Text event timelines
├── polls.jsonl                # Pre-match prediction polls
└── pages/                     # Individual match detail pages
```

## Dataset Overview

- **Total Matches**: 40 (verified full-match videos)
- **Data Format**: JSONL

| Field | Type | Description |
|-------|------|-------------|
| `video_id` | string | YouTube video ID |
| `url` | string | YouTube video URL |
| `title` | string | Match title |
| `teams` | array | Two teams in the match |
| `world_cup` | string | World Cup edition (e.g. "2022 Qatar") |
| `match_info_url` | string | Soccer365 match page URL |

## Usage

```python
from datasets import load_dataset
dataset = load_dataset("choucsan/FIFA_World_Cup_Games")

# or from ModelScope
from modelscope import MsDataset
dataset = MsDataset.load("choucisan/FIFA_World_Cup_Games")
```

## License

MIT License.

## Contact

- 📧 **choucisan@gmail.com**
- 🤗 [Hugging Face](https://huggingface.co/datasets/choucsan/FIFA_World_Cup_Games)
- 🐱 [ModelScope](https://modelscope.cn/datasets/choucisan/FIFA_World_Cup_Games)