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README.md
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## π Dataset Structure
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-
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There are 2 variants of the dataset based on number of variables used -
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2 variables and 3 variables which can be found in the respective zip files.
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Once you extract any of them you will see the following tree -
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βββ char_only
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β βββ metadata.csv
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β βββ *.png
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β βββ metadata.csv
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β βββ *.png
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βββ [two/three]-vars.txt
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The char_only, icon_only, icon_partial, counting points to the
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symbolic, visual, visual-symbolic and counting datasets mentioned in the paper
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respectively. Each of them consist of the following metadata -
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3. mapping to symbolic variable (in case of visual, visual-symbolic, counting dataset)
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The base equations which are used to create the same are attached in the respective .txt file in the root level directory.
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**Annotations** include:
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- `equation`: the equation in symbolic form
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- `variables`: mapping of icons β variable names
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- `solution`: ground truth assignments
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---
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## π License
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## π Dataset Structure
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+
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There are 2 variants of the dataset based on number of variables used -
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2 variables and 3 variables which can be found in the respective zip files.
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Once you extract any of them you will see the following tree -
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```
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βββ char_only
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β βββ metadata.csv
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β βββ *.png
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β βββ metadata.csv
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β βββ *.png
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βββ [two/three]-vars.txt
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```
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The char_only, icon_only, icon_partial, counting points to the
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symbolic, visual, visual-symbolic and counting datasets mentioned in the paper
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respectively. Each of them consist of the following metadata -
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3. mapping to symbolic variable (in case of visual, visual-symbolic, counting dataset)
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|
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The base equations which are used to create the same are attached in the respective .txt file in the root level directory.
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+
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---
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## π License
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