datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
starcraft-remastered-melee-maps
starcraft-remastered-melee-maps
This is a dataset containing 1,815 Starcraft:Remastered melee maps, categorized into tilesets.
The dataset is used to train this model: https://huggingface.co/wdcqc/starcraft-platform-terrain-32x32
The dataset is manually downloaded from Battle.net, bounding.net (scmscx.com) and broodwarmaps.com over a long period of time.
To use this dataset, extract the staredit\\scenario.chk files from the map files using StormLib, then refer to Scenario.chk Format… See the full description on the dataset page: https://huggingface.co/datasets/wdcqc/starcraft-remastered-melee-maps.StarCraft-MotionStarCraftMotion
StarCraftMotion
StarCraftMotion is a large-scale benchmark for agent simulation
under adversarial and partial observability scenarios (built from StarCraft replays). Each example is a fixed-length scenario window (145 frames at 16 FPS, ~9 seconds) containing all unit
states, dynamic map layers, and per-player economy time series.
The released split is adversarial: scenarios are subsampled to
overweight interaction-heavy windows (mutual-visibility and inter-player
transitions)… See the full description on the dataset page: https://huggingface.co/datasets/blind-review-data/StarCraftMotion.StarCraftMotion_sample
StarCraftMotion
StarCraftMotion is a large-scale benchmark for agent simulation
under adversarial and partial observability scenarios (built from StarCraft replays). Each example is a fixed-length scenario window (145 frames at 16 FPS, ~9 seconds) containing all unit
states, dynamic map layers, and per-player economy time series.
The released split is adversarial: scenarios are subsampled to
overweight interaction-heavy windows (mutual-visibility and inter-player
transitions)… See the full description on the dataset page: https://huggingface.co/datasets/blind-review-data/StarCraftMotion_sample.