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  pretty_name: STBench
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- # STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis
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  <p align="center">
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  Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS)<br/>
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  📃 <a href="https://arxiv.org/abs/2406.19065" target="_blank">Paper</a>
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  </p>
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- ![local file](overview.png)
 
 
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  STBench is a benchmark to evaluate the ability of large language models in spatio-temporal analysis. This benchmark consists of 13 distinct tasks and over 60,000 question-answer pairs, covering four dimensions: knowledge comprehension, spatio-temporal reasoning, accurate computation and downstream applications.
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  pretty_name: STBench
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  ---
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+ <h1 align="center">STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis</h1>
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  <p align="center">
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  Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS)<br/>
 
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  📃 <a href="https://arxiv.org/abs/2406.19065" target="_blank">Paper</a>
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  </p>
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+ <p align="center">
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+ <img src="./overview.png" style="width: 50%;">
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+ </p>
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  STBench is a benchmark to evaluate the ability of large language models in spatio-temporal analysis. This benchmark consists of 13 distinct tasks and over 60,000 question-answer pairs, covering four dimensions: knowledge comprehension, spatio-temporal reasoning, accurate computation and downstream applications.
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