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  # Introduction
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  # Training Data
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  # Training Method
 
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  # Introduction
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+ ## Task Description
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+ This model was fine-tuned to improve its ability to perform spatial
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+ reasoning tasks. The objective is to enable the model to interpret natural language queries related to
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+ spatial relationships, directions, and locations and output actionable responses.
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+ The task addresses limitations in current LLMs, which often fail to perform precise spatial reasoning,
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+ such as determining relationships between points on a map, planning routes, or identifying locations
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+ based on bounding boxes. For this fine-tuning task the step-game dataset was used.
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+ This dataset follows the template of story, question and answer as depicted below.
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  # Training Data
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  # Training Method