datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GameQA-140K
[ICLR 2026] Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
🎊 News
[2026/07] 🔥Peking University and Kuaishou Kling Team evaluate their agentic visual reasoning method Beacon on our GameQA benchmark. Beacon learns when tools are truly needed (Mode Adaptiveness) and how tool use extends capability on hard problems (Tool Effect), and achieves the highest accuracy on GameQA among open-source models of the same scale… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/GameQA-140K.NBA_Games
NBA Full-Game Video Dataset
This dataset provides metadata, official statistics, and official play-by-play annotations for full-length NBA game videos available on YouTube. Instead of redistributing video files, we provide YouTube video IDs and URLs so users can download videos independently when their use case and local policies allow it.
The dataset links long-form basketball videos with structured NBA.com game data. Each retained game has a verified… See the full description on the dataset page: https://huggingface.co/datasets/choucsan/NBA_Games.GameplayQA
GameplayQA: A Decision-Dense POV-Synced Multi-Video
Understanding Benchmark of 3D Virtual Agents
Yunzhe Wang
Runhui Xu
Kexin Zheng
Tianyi Zhang
Jayavibhav N. Kogundi
Soham Hans
Volkan Ustun
University of Southern California
ACL 2026
Corresponding Author: yunzhewa@usc.edu
Overview
GameplayQA is the first benchmark for POV-Synced Multi-Video Understanding and… See the full description on the dataset page: https://huggingface.co/datasets/wangyz1999/GameplayQA.FIFA_World_Cup_Games
FIFA World Cup Full-Match Video Dataset
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.
The dataset is designed for long-form sports… See the full description on the dataset page: https://huggingface.co/datasets/choucsan/FIFA_World_Cup_Games.GameTheory-Formulator
🎯 GameTheory-Formulator
1,215 real-world scenarios mapped to formal game theory models with step-by-step formulation, solution, and interpretation.
📋 Overview
GameTheory-Formulator is the Phase 3 dataset in the Alogotron Game Theory pipeline. While GameTheory-Bench teaches models to solve formal game theory problems, this dataset teaches them to formulate real-world strategic scenarios as formal games — the critical missing link between natural language… See the full description on the dataset page: https://huggingface.co/datasets/Alogotron/GameTheory-Formulator.threejs-gamecode-instruct-v3-ultra
Three.js GameCode Instruct v3 Ultra
This is a large synthetic/original instruction dataset for training or testing LLM behavior around Three.js, browser game development, gameplay programming, debugging, optimization, architecture, and general coding.
Important note
This dataset is synthetic and programmatically generated from original templates. It is designed as a useful starting point for experiments, not as a fully hand-curated gold-standard benchmark.
No… See the full description on the dataset page: https://huggingface.co/datasets/agagasf123123/threejs-gamecode-instruct-v3-ultra.GameTheory-Bench
🎲 GameTheory-Bench
The first comprehensive, RLVR-ready game theory dataset for LLM training and evaluation.
📋 Overview
GameTheory-Bench is a dataset of 2,913 computationally verified game theory problems spanning 10 categories and 35+ subcategories. Every problem includes a natural-language statement, a detailed step-by-step solution, a concise answer, and a machine-checkable verification object.
Why This Dataset?
Gap
GameTheory-Bench… See the full description on the dataset page: https://huggingface.co/datasets/Alogotron/GameTheory-Bench.unpredictable_gamefaqs-comThe UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card.gamedev-nocode
Gamedev Data Set
The Gamedev Data Set was created with focus on the many aspects of game development that are not coding. As such, there are only a few code-specific entries, and the rest focus on everything from marketing to design theory and project management. It is meant as a companion set to coding-specific data.
This data set consists of 76,114 questions and answer sets. The data is generated by AI, guided by humans, and based on notes taken from publicly available sources.… See the full description on the dataset page: https://huggingface.co/datasets/theprint/gamedev-nocode.lemonseed-games-r2
lemonseed-games-r2
LemonSeed — games round 2 (Go/Sudoku atari + constraint reasoning).
Contents
games_r2.jsonl (12000 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
Synthetic, generated programmatically for the LemonSeed 1.5B project (by Geramy L. Loveless). Data authored by Michael Anthony Falabella.
game-of-24
Game of 24 Dataset
Dataset Description
The Game of 24 is a mathematical reasoning puzzle where players must use four numbers and basic arithmetic operations (+, -, *, /) to obtain the result 24. Each number must be used exactly once.
This dataset contains 1,361 unique Game of 24 puzzles ranked by difficulty based on human performance from Amazon Mechanical Turk studies.
Example
Input: 4 5 6 10
Output: (5 * (10 - 4)) - 6 = 24
Step-by-step solution:
10 - 4 = 6… See the full description on the dataset page: https://huggingface.co/datasets/test-time-compute/game-of-24.game24
Bud Ecosystem mirror of test-time-compute/game-of-24 — a verbatim copy for offline, reproducible model evaluation. License unchanged (MIT (test-time-compute/game-of-24); Apache-2.0 (nlile/24-game)); all rights remain with the original authors.
Game of 24 Dataset
Dataset Description
The Game of 24 is a mathematical reasoning puzzle where players must use four numbers and basic arithmetic operations (+, -, *, /) to obtain the result 24. Each number must be used… See the full description on the dataset page: https://huggingface.co/datasets/budecosystem/game24.infinite-game-os
Dataset Card for Infinite Game OS for Sovereign Creators
Dataset Description
This dataset packages the Infinite Game OS framework as an instruction-tuning corpus for AI training pipelines. The framework was created by Lane Belone. It gives Creators a philosophical and structural foundation for building a business from authentic expression rather than market optimization.
The central organizing pattern is the Creator Flywheel: live the life, share the breadcrumbs… See the full description on the dataset page: https://huggingface.co/datasets/lanebelone/infinite-game-os.game_translategame_data
game_data
Multi-task reasoning dataset. Each task type is a separate config with train/test/dev splits.
Usage
from datasets import load_dataset
# Load a specific task and split
ds = load_dataset("CL-From-Nothing/game_data", "futoshiki", split="train")
ds = load_dataset("CL-From-Nothing/game_data", "minesweeper", split="test")
Available Tasks
futoshiki, kukurasu, minesweeper, sudoku
Available Splits
train, test, dev