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@@ -65,12 +65,12 @@ Each problem includes a programming question paired with relevant images, Python
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  - **Rich Diversity**: With 3,548 questions paired with 6,620 images, sourced from 10 different coding competition websites, the dataset offers a diverse range of real-world programming challenges.
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- - **Detailed Annotations**: The dataset includes detailed annotations for images, categorizing them into types `Data Structure`, `Geometry`, `3D`, `Demonstration`, `Math`, `Table`, `Pseudocode`, and `Others`, which allows for a detailed analysis of model performance across different visual information types.
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  - **Automatic Testing Framework**: Each problem is accompanied by input-output pairs that serve as automated test cases to rigorously evaluate the correctness of the solutions provided by the models.
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  ## Data Split
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- The whole dataset is used as a test set. A `mini test set` split consisting of 300 problems is randomly sampled from the dataset for efficient evaluation.
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  ## Data Example
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  ```json
 
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  - **Rich Diversity**: With 3,548 questions paired with 6,620 images, sourced from 10 different coding competition websites, the dataset offers a diverse range of real-world programming challenges.
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+ - **Detailed Annotations**: The dataset includes detailed annotations for images, categorizing them into types ``Linear Data Structure``, ``Tree``, ``Graph``, ``2D Geometry``, ``3D Geometry``, ``Chessboard``, ``Map``, ``Patterns``, ``Math``, ``Table``, ``Pseudocode``, and ``Others``, which allows for a detailed analysis of model performance across different visual information types.
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  - **Automatic Testing Framework**: Each problem is accompanied by input-output pairs that serve as automated test cases to rigorously evaluate the correctness of the solutions provided by the models.
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  ## Data Split
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+ The test set is made up of 263 problems for efficient evaluation.
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  ## Data Example
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  ```json