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@@ -22,12 +22,29 @@ We introduce MathCoder-VL, a series of open-source large multimodal models (LMMs
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  |-------------------------------------------------------------------|-----------------------------------------------------------------------|
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  | [Mini-InternVL-Chat-2B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-2B-V1-5) | [MathCoder-VL-2B](https://huggingface.co/MathLLMs/MathCoder-VL-2B) |
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  | [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B) | [MathCoder-VL-8B](https://huggingface.co/MathLLMs/MathCoder-VL-8B)|
 
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  ## Usage
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  For training and inference code, please refer to [InternVL](https://github.com/OpenGVLab/InternVL).
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  ## Motivation
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  |-------------------------------------------------------------------|-----------------------------------------------------------------------|
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  | [Mini-InternVL-Chat-2B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-2B-V1-5) | [MathCoder-VL-2B](https://huggingface.co/MathLLMs/MathCoder-VL-2B) |
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  | [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B) | [MathCoder-VL-8B](https://huggingface.co/MathLLMs/MathCoder-VL-8B)|
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+ | [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B) | [FigCodifier-8B](https://huggingface.co/MathLLMs/FigCodifier)|
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  ## Usage
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  For training and inference code, please refer to [InternVL](https://github.com/OpenGVLab/InternVL).
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+ ```
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+ from datasets import load_dataset
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+
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+ mm_mathinstruct = load_dataset("MathLLMs/MM-MathInstruct")
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+ print(mm_mathinstruct)
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+ ```
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+
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+ It should print:
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+ ```
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+ DatasetDict({
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+ train: Dataset({
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+ features: ['id', 'image', 'question', 'solution', 'image_path'],
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+ num_rows: 2871988
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+ })
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+ })
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+ ```
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  ## Motivation
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