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README.md
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---
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# Introduction
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# Training Data
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# Training Method
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---
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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
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