atari
Datasets
All datasets matching “atari”atariSTUZero-Atari-Dynamics
STUZero Atari Dynamics Dataset
Offline dynamics training datasets collected from trained EfficientZero V2 (EZv2) benchmark models on Atari games. Each game's data is stored in a subfolder named {game}_{steps} indicating the game and the number of training steps of the source checkpoint. While all models were trained for 120K steps, best results in some games were attained at earlier checkpoints. The model with best eval scores was used to curate data for each game.… See the full description on the dataset page: https://huggingface.co/datasets/Shivamkak/STUZero-Atari-Dynamics.atari-breakout-dataset
Atari-Breakout Dataset
This is a large dataset of 10M video frames and actions collected from the Breakout atari environment (Bellemare et al., 2012) in order to train world models.The dataset enables reproducible, large-scale experiments in action-conditioned video prediction. It is meant to be used with Jasmine, our JAX-based world modeling codebase.
Dataset Summary
Environment: Atari Learning Environment
Frames: 10 million
Resolution: 84 × 84
Format:… See the full description on the dataset page: https://huggingface.co/datasets/p-doom/atari-breakout-dataset.atari-vla-stage1-5hz
TESS-Atari Stage 1 (5Hz)
Human gameplay demonstrations from Atari games, formatted for Vision-Language-Action (VLA) model training.
Overview
Metric
Value
Source
Atari-HEAD
Games
11 (overlapping with DIAMOND benchmark)
Samples
~4M
Action Rate
5 Hz (1 action per observation)
Format
Lumine-style action tokens
Games Included
Alien, Asterix, BankHeist, Breakout, DemonAttack, Freeway, Frostbite, Hero, MsPacman, RoadRunner, Seaquest… See the full description on the dataset page: https://huggingface.co/datasets/TESS-Computer/atari-vla-stage1-5hz.atari-crazy_climber-dataset
Atari-Crazy Climber Dataset
This is a large dataset of 10M video frames and actions collected from the Crazy Climber atari environment (Bellemare et al., 2012) in order to train world models.The dataset enables reproducible, large-scale experiments in action-conditioned video prediction. It is meant to be used with Jasmine, our JAX-based world modeling codebase.
Dataset Summary
Environment: Atari Learning Environment
Frames: 10 million
Resolution: 84 × 84… See the full description on the dataset page: https://huggingface.co/datasets/p-doom/atari-crazy_climber-dataset.atari-assault-dataset
Atari-Assault Dataset
This is a large dataset of 10M video frames and actions collected from the Assault atari environment (Bellemare et al., 2012) in order to train world models.The dataset enables reproducible, large-scale experiments in action-conditioned video prediction. It is meant to be used with Jasmine, our JAX-based world modeling codebase.
Dataset Summary
Environment: Atari Learning Environment
Frames: 10 million
Resolution: 84 × 84
Format:… See the full description on the dataset page: https://huggingface.co/datasets/p-doom/atari-assault-dataset.