frankjc2022/steam-dataset

---
viewer: true
configs:
- config_name: user_games
data_files: data/v1/user_games.parquet
- config_name: games
data_files: data/v1/games.parquet
- config_name: reviews
data_files: data/v1/reviews.parquet
- config_name: steamspy_games
data_files: data/v1/steamspy_games.parquet
license: mit
language:
- en
---

# Steam User–Game Interactions Dataset

## Usage

```python
from datasets import load_dataset

dataset_id = "frankjc2022/steam-dataset"

# User–game interactions
user_games_ds = load_dataset(dataset_id, name="user_games", split="train")
user_games_df = user_games_ds.to_pandas()

# Game metadata
games_ds = load_dataset(dataset_id, name="games", split="train")
games_df = games_ds.to_pandas()

# Reviews
reviews_ds = load_dataset(dataset_id, name="reviews", split="train")
reviews_df = reviews_ds.to_pandas()

# Steamspy game metadata
steamspy_games_ds = load_dataset(dataset_id, name="steamspy_games", split="train")
steamspy_games_df = steamspy_games_ds.to_pandas()

print(user_games_df.head())
print(games_df.head())
print(reviews_df.head())
print(steamspy_games_df.head())
```

---
查看器：已启用
配置项：
- 配置名称：user_games
数据文件：data/v1/user_games.parquet
- 配置名称：games
数据文件：data/v1/games.parquet
- 配置名称：reviews
数据文件：data/v1/reviews.parquet
- 配置名称：steamspy_games
数据文件：data/v1/steamspy_games.parquet
许可证：MIT许可证
语言：英语
---

# Steam用户-游戏交互数据集

## 使用方法

python
from datasets import load_dataset

dataset_id = "frankjc2022/steam-dataset"

# 用户-游戏交互数据
user_games_ds = load_dataset(dataset_id, name="user_games", split="train")
user_games_df = user_games_ds.to_pandas()

# 游戏元数据
games_ds = load_dataset(dataset_id, name="games", split="train")
games_df = games_ds.to_pandas()

# 玩家评测数据
reviews_ds = load_dataset(dataset_id, name="reviews", split="train")
reviews_df = reviews_ds.to_pandas()

# Steamspy游戏元数据
steamspy_games_ds = load_dataset(dataset_id, name="steamspy_games", split="train")
steamspy_games_df = steamspy_games_ds.to_pandas()

print(user_games_df.head())
print(games_df.head())
print(reviews_df.head())
print(steamspy_games_df.head())