datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IG-10K-Dataset
The Imitator Game - IG-10K Dataset
This dataset accompanies the paper The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction.
It contains paired human-robot demonstrations for the Imitator Game benchmark, spanning four levels of imitation difficulty (L0–L3) across real and simulated settings. The IG-10K dataset includes over 20,000 paired episodes across 50+ tasks and 6 domains, and is provided in LeRobot-0.5.0 format.
For more details, see the project… See the full description on the dataset page: https://huggingface.co/datasets/imitator-game/IG-10K-Dataset.Global-Game-Jam-Dataset
Global Game Jam Scraper Data
A comprehensive dataset of 31,918 game jam entries from globalgamejam.org.
Includes metadata such as game titles, descriptions, themes, platforms, technologies, team members, links, and more.
Ideal for game analytics, trend analysis, and machine learning experiments.
Maintained by Fronkon Games.
video_game_sales_dataset8k-video-game-datasetDataset Name: Kim2091's 8k Dataset V3
License: CC BY-NC-SA 4.0
Purpose: Video Game Upscaling
Description: This is the third revision of my 8k dataset. These games were all run at absolute maximum settings on RTX 3090 or 4090 at native 8k, with TAA disabled when possible.
This dataset is mostly compressed with ZSTD. You will have to use a tool like NanaZip to extract it if your main extraction tool does not support it
I tried to reduce the amount of blank space in the dataset, but due to the… See the full description on the dataset page: https://huggingface.co/datasets/Kim2091/8k-video-game-dataset.poc-mini-trade-game-dataset
Dataset Card for Mini Trade Game NPC Dataset
Dataset Summary
This dataset contains synthetic training examples for simulating NPC (Non-Player Character) merchant behavior in a trading game scenario. The dataset is designed to train language models to generate contextually appropriate trading responses based on item properties, relationship status, and player interactions.
All examples are in Traditional Chinese (zh-TW), with player inputs and NPC responses using… See the full description on the dataset page: https://huggingface.co/datasets/aotoki/poc-mini-trade-game-dataset.Game-Oracle_DOTA2-Match-Prediction-Dataset
Game Oracle: DOTA 2 Match Prediction Dataset
Executive Summary
Game Oracle is a comprehensive data analysis project focused on DOTA 2 match prediction and professional gameplay patterns. The project addresses the growing demand for data-driven insights in esports, particularly in competitive gaming strategy and outcome prediction.
Motivation
The exponential growth of esports has created a need for sophisticated analytical tools to understand game dynamics and… See the full description on the dataset page: https://huggingface.co/datasets/howl-anderson/Game-Oracle_DOTA2-Match-Prediction-Dataset.competitive-game-dataset
Competitive Game Dataset
This dataset collects move trajectories and accompanying natural-language explanations from three classic board games—Tic-Tac-Toe, Connect Four, and Chess—played by a diverse ensemble of large language models. It can be used for training or evaluating large language models (LLMs). This dataset contains
Game trajectories generated by pair-wise… See the full description on the dataset page: https://huggingface.co/datasets/yyyyyyjjjjzzz/competitive-game-dataset.game-world-model-dataset-visual-guide8k-video-game-datasetDataset Name: Kim2091's 8k Dataset V3
License: CC BY-NC-SA 4.0
Purpose: Video Game Upscaling
Description: This is the third revision of my 8k dataset. These games were all run at absolute maximum settings on RTX 3090 or 4090 at native 8k, with TAA disabled when possible.
This dataset is mostly compressed with ZSTD. You will have to use a tool like NanaZip to extract it if your main extraction tool does not support it
I tried to reduce the amount of blank space in the dataset, but due to the… See the full description on the dataset page: https://huggingface.co/datasets/Falln87/8k-video-game-dataset.the-Pokemon-Trading-Card-Game-Battle-Challenge-DataSetpokemon_tcg_battle_dataset.csv (~6–7k rows from 500 simulated games by default).
the-Pokemon-Trading-Card-Game-Battle-Challenge-DataSet-SampleGenerating a small synthetic dataset
Amusement-Park-Game-Facility-Recognition-Image-Dataset
Amusement Park Game Facility Recognition Image Dataset
In the retail e-commerce sector, as consumer demand for amusement park facilities increases, merchants face challenges in quickly identifying and managing various facilities. Existing image recognition technologies still lack in accuracy and speed, especially in scenarios with diverse facility combinations. This dataset aims to enhance the precision and efficiency of amusement park facility recognition, satisfying the business… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Amusement-Park-Game-Facility-Recognition-Image-Dataset.glitch-llava-game-qa-dataset-wipguessnum_game_datasetrunner-game-dataset
import numpy as np
import json
import os
from huggingface_hub import snapshot_download
from tqdm import tqdm
# ═══════════════════════════════════════════════════════════
# CONFIG
# ═══════════════════════════════════════════════════════════
HF_REPO = "nnsohamnn/runner-game-dataset" # ← Change this!
DOWNLOAD_DIR = "runner_dataset_merged"
OUTPUT_DIR = "runner_dataset"
# ═══════════════════════════════════════════════════════════
# DOWNLOAD
#… See the full description on the dataset page: https://huggingface.co/datasets/nnsohamnn/runner-game-dataset.Amusement-Park-Game-Facility-Recognition-Image-Dataset
Amusement Park Game Facility Recognition Image Dataset
In the retail e-commerce sector, as consumer demand for amusement park facilities increases, merchants face challenges in quickly identifying and managing various facilities. Existing image recognition technologies still lack in accuracy and speed, especially in scenarios with diverse facility combinations. This dataset aims to enhance the precision and efficiency of amusement park facility recognition, satisfying the business… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Amusement-Park-Game-Facility-Recognition-Image-Dataset.gamed-game-classification-dataset
Gamed — Game Classification Dataset
Train and held-out eval frames for a 3-class game classifier
(cs2, dota2, valorant). Used to train and evaluate
ybashir/gamed-game-classification,
the §1.1 hot-path detector in coach-api.
The source .mp4 files are not included — see urls.txt for the
original YouTube links. All frames here are derived at 0.4 fps via
ffmpeg and resized to 224×224 (squashed 1:1).
Structure
train/
manifest.csv 6450 rows — path,class,video_id… See the full description on the dataset page: https://huggingface.co/datasets/ybashir/gamed-game-classification-dataset.24-game-dataset_10k_tasks-a-bTVL-game-layer-datasetai-auto-train-unreal-engine5.5-metahumans-video-game-builder-datasetguesswho_game_datasetvideo-game-sentiment-dataset
Video Game Sentiment Balanced 10k
This dataset contains 10,000 labeled gaming-community Reddit comments for sentiment classification.
Live Hugging Face dataset page: emiemimi/video-game-sentiment-dataset
Only the balanced 10k dataset is included in this Hugging Face dataset repository.
Columns
text: Reddit comment text.
subreddit: source subreddit.
data_type: original row type.
datetime: source date.
source_dataset: original Hugging Face dataset id.
sentiment: target… See the full description on the dataset page: https://huggingface.co/datasets/emiemimi/video-game-sentiment-dataset.acrade_game_datasetgamedatasetGan_Deng_Yan-Card_game_agent_Dataset
This is the agent dataset of poker game "Gan deng yan(干瞪眼)". Please see here for game: 干瞪眼_GanDengYan_github
license: mit
arcade_game_datasetrpg_game_datasetQwen2.5-72B-Dungeon-Game-SFT-Dataset-all_loses_in_memoryPokemon_Game_Boy_Color_Datasetptdbench-reward-design-reward-new-nim-game-021-dataset
PTDBench dataset snapshot: reward_new_nim_game_021
This repository stores the immutable runtime dataset snapshot for one
materialized PTDBench task. It intentionally excludes model weights and
training checkpoints.
PTDBench family: reward_design
Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128
Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable.
License: MIT
The artifact manifest records every hydrated… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-reward-design-reward-new-nim-game-021-dataset.