shaomin9487/CourtSI-1M
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资源简介：
CourtSI是一个大规模数据集，旨在研究视觉语言模型（VLMs）在体育环境中的空间智能。它为视觉语言模型的监督微调（SFT）提供了大规模的训练数据。该数据集包含超过100万个问答对，基于一个全面的空间分类法，包括空间计数、距离测量、定位和关系推理。
CourtSI is a large-scale dataset designed to study spatial intelligence in sports environments for Vision-Language Models (VLMs). It provides large-scale training data for supervised fine-tuning (SFT) of vision-language models. The dataset contains over 1M QA pairs, built upon a holistic spatial taxonomy that includes spatial counting, distance measurement, localization, and relational reasoning.
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shaomin9487
