datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nba-games
NBA Games Data
This data is an updated version of the original NBA
Games by Nathan Lauga.
Data source
Code
Updated to: 2025-02-13
The dataset retains the original format and includes the following files:
games.csv – Summary of NBA games, including scores and team details.
games_details.csv – Detailed player statistics for each game.
players.csv – Player information.
ranking.csv – Daily NBA team rankings.
teams.csv – List of all NBA teams.
amazon_product_reviews_video_games#Title
Video-Games-Sales-EDA
🎮 Video Game Sales — Exploratory Data Analysis (EDA)
Video Presentation
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Executive Summary
The video game industry is a multi‑billion dollar market characterized by extreme unpredictability—a single "mega‑hit" can generate more revenue than thousands of average games combined. This project analyzes historical video game sales… See the full description on the dataset page: https://huggingface.co/datasets/0tizm0/Video-Games-Sales-EDA.nba-games
NBA Games Data
This data is an updated version of the original NBA
Games by Nathan Lauga.
Data source
Code
Updated to: 2025-02-13
The dataset retains the original format and includes the following files:
games.csv – Summary of NBA games, including scores and team details.
games_details.csv – Detailed player statistics for each game.
players.csv – Player information.
ranking.csv – Daily NBA team rankings.
teams.csv – List of all NBA teams.
retro-games-gameplay-framesbest-selling-video-games
Dataset Card for [best-selling-video-games]
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/arjunpatel/best-selling-video-games.abhishekgupta56447_video-games-sales-from-zenodo
Video Games Sales (from Zenodo)
Video game sales data including platform, genre, publisher, and global sales.
Dataset Info
Source: Kaggle
Original Size: 0.37 MB
Kaggle Downloads: 819
Files: 1
Files
vgsales.csv
Mirrored from Kaggle
steam_games.csvtitled-tuesday-chess-gamesThis dataset includes chess games played in the Chess.com "Titled Tuesday" events from July 2022 to December 2023. The games in the dataset were played by titled players
who ranked 1-25 in at least one tournament. Since game documents are organized around players and there are duplicate games, the dataset is more suitable for the player-centric analyses.
This GitHub repository contains scripts for scraping the data from Chess.com
website and API as well some demos of statistical analysis of… See the full description on the dataset page: https://huggingface.co/datasets/kirillgoltsman/titled-tuesday-chess-games.video-games
license: mit
Video Game Sales — Exploratory Data Analysis (EDA)
1. Objective
The purpose of this project is to analyze historical video game sales data to identify the key factors that influence commercial success. Using Exploratory Data Analysis (EDA) techniques, this project examines the relationship between game genres, critical reception, and global sales performance.
A comprehensive exploratory analysis was conducted across the dataset. The complete analysis… See the full description on the dataset page: https://huggingface.co/datasets/0tizm0/video-games.cross-title-player-behavior
Cross-Title Player Behavior Dataset (PC Gaming)
This dataset captures player behavior across multiple PC games.
It focuses on how players move between titles, how their engagement concentrates, and how behavior differs across genres.
Unlike traditional game analytics datasets, this is structured around cross-title behavioral patterns rather than isolated in-game metrics.
Included
Player → game relationships
Session counts and duration
Genre-level interaction signals… See the full description on the dataset page: https://huggingface.co/datasets/GameSpective/cross-title-player-behavior.indian-crop-yield-predictionThere-Are-No-Games-Dataset-Encodings
Source and License
This dataset is derived from the applications.csv file of the Steam Dataset 2025: Multi-Modal Gaming Analytics, originally published on Kaggle.
This dataset (csv and encodings) were modified to be used with our There-Are-No-Games fine-tuned SPLADEV3 model in the scope of our AIR course project.
Original dataset:
https://www.kaggle.com/datasets/crainbramp/steam-dataset-2025-multi-modal-gaming-analytics/data
The original dataset is licensed under the Creative… See the full description on the dataset page: https://huggingface.co/datasets/mazombieme/There-Are-No-Games-Dataset-Encodings.gamesGameStockPredict
GameStockPredict
tags: classification, finance, sports contingency
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'GameStockPredict' dataset is designed for predictive modeling in the context of finance and sports. It contains various features from both the stock market and sports contingency events, and aims to predict stock price movements based on upcoming sports games and their associated outcomes. The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/GameStockPredict.popular_mobile_gamesall_super_mario_gamesretro-games-shortslist-of-bestselling-pc-gamesllm_20q_gamesfirst_100k_gamestatesall_pokemon_games_by_generationDialogue_games
Dataset Card for Dialogue_games
Dataset Details
This dataset provides all the successful episodes (i.e D30001.csv+warmup.csv) data processed with Qwen3.5 tokenizer
Dataset Description
These are all the various successful instances of dialogue games from the playpen-paper 2025 which are processed by Qwen3.5 tokenizer
Curated by: Velineni Harshavaishnav,Vasamsetti Nihal Tej
Funded by: Dr.Shreya Ghosh
Language(s) (NLP): English
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/harshavaishnav/Dialogue_games.games_after_1_yearsReviewing Steam Games 1 Year After Release
epic-games-catalogMagnus-Carlsen-Lichess-Games-Dataset-FEN
Magnus Carlsen Lichess Games Dataset
Overview
This dataset comprises chess games played by World Chess Champion Magnus Carlsen on Lichess.org. The data has been processed to include detailed information for each move, including the corresponding Forsyth-Edwards Notation (FEN) and a standardized FEN format. This structure facilitates in-depth analysis of Carlsen's gameplay across various positions and scenarios.
Dataset Structure
The dataset is provided in a CSV… See the full description on the dataset page: https://huggingface.co/datasets/luca-g97/Magnus-Carlsen-Lichess-Games-Dataset-FEN.gte_gamesPokemon_GBA_Games_Datasetgames_cardGameStockPredict
GameStockPredict
tags: classification, finance, sports contingency
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description: The "GameStockPredict" dataset contains historical data from sports contingency events (e.g., fantasy sports leagues) that are relevant to financial investors interested in predicting stock performance based on game outcomes. Each row represents an event with details on the teams or players involved, the outcome of… See the full description on the dataset page: https://huggingface.co/datasets/arunmozhi/GameStockPredict.