Datasetpublic

mad-bot/mind-games-features

Mind Games — Features Pre-computed visual features for the mind-games project. Lunar Lander (MobileNetV3-Small) 200 episodes of MobileNetV3-Small embeddings extracted from LunarLander-v3 gameplay frames. Backbone: MobileNetV3-Small (ImageNet pretrained, frozen) Embedding dim: 576 (global average pooled) Precision: float16 Size: ~108MB Structure: lunar_lander/episode_NNNN/ with embeddings.npy (N×576) and actions.npy (N,) Index: lunar_lander/index.json with… See the full description on the dataset page: https://huggingface.co/datasets/mad-bot/mind-games-features.

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Dataset Card

Mind Games — Features

Pre-computed visual features for the mind-games project.

Lunar Lander (MobileNetV3-Small)

200 episodes of MobileNetV3-Small embeddings extracted from LunarLander-v3 gameplay frames.

—Backbone: MobileNetV3-Small (ImageNet pretrained, frozen)
—Embedding dim: 576 (global average pooled)
—Precision: float16
—Size: ~108MB
—Structure: lunar_lander/episode_NNNN/ with embeddings.npy (N×576) and actions.npy (N,)
—Index: lunar_lander/index.json with per-episode reward and step count

These embeddings enable fast CPU-only training (~4s/epoch vs ~67s end-to-end).