johnrobinsn/gamengen-500-back
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资源简介：
这是一个包含游戏或模拟环境中的行为的视频数据集，具体应用场景可能涉及游戏AI训练或行为分析。数据集特征包括episode的唯一标识符、二进制格式的帧数据、执行的动作、健康状态和时间步的标识符。数据集目前只有一个训练集split，包含约252万5500个样本。
This is a video dataset containing behaviors in a game or simulation environment, which might be used for game AI training or behavior analysis. The dataset features include a unique identifier for each episode, binary format frame data, executed actions, health status, and step identifiers. Currently, the dataset has only one training set split, containing approximately 2,525,500 samples.
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johnrobinsn
