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  **TacSIm** is a multi-agent football trajectory dataset designed for research on tactical style imitation, multi-agent imitation learning, trajectory generation, and long-horizon football simulation.
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- The dataset is collected in the **Google Research Football (GRF)** environment. Each trajectory file records the positions and actions of 11 controlled players together with the two-dimensional ball position over a fixed temporal window.
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  The dataset is organized into three predefined splits:
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  - **Train**
 
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  **TacSIm** is a multi-agent football trajectory dataset designed for research on tactical style imitation, multi-agent imitation learning, trajectory generation, and long-horizon football simulation.
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  The dataset is organized into three predefined splits:
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  - **Train**