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())
6 commits
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())
6 commits