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  ## Dataset description
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  Image2struct is a benchmark for evaluating vision-language models in practical tasks of extracting structured information from images.
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  This subdataset focuses on LaTeX code. The model is given an image of the expected output with the prompt:
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- ```Prease provide the LaTex code used to generate this image. Only generate the code relevant to what you see. Your code will be surrounded by all the imports necessary as well as the begin and end document delimiters.```
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  The subjects were collected on ArXiv and are: eess, cs, stat, math, physics, econ, q-bio, q-fin.
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@@ -242,4 +242,5 @@ This subdataset focuses on LaTeX code. The model is given an image of the expect
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  * tables
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  * algorithms
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  * code
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- And the last category: wild, was collecting by taking screenshots of equations in the Wikipedia page of "equation" and it's related pages.
 
 
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  ## Dataset description
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  Image2struct is a benchmark for evaluating vision-language models in practical tasks of extracting structured information from images.
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  This subdataset focuses on LaTeX code. The model is given an image of the expected output with the prompt:
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+ ```Please provide the LaTex code used to generate this image. Only generate the code relevant to what you see. Your code will be surrounded by all the imports necessary as well as the begin and end document delimiters.```
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  The subjects were collected on ArXiv and are: eess, cs, stat, math, physics, econ, q-bio, q-fin.
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  * tables
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  * algorithms
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  * code
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+
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+ The last category: **wild**, was collected by taking screenshots of equations in the Wikipedia page of "equation" and its related pages.