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  ### Dataset Summary
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- Dataset Summary: Image-Text Wikipedia Abstracts (Vietnamese)
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  This dataset comprises nearly 380.000 pairs of images and corresponding textual abstracts extracted from Vietnamese Wikipedia articles. The dataset is designed to facilitate research and development in the field of multimodal learning, particularly in tasks that involve understanding and processing both textual and visual information.
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  Description:
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  - Total Textual Abstracts: 374748
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  Dataset Composition:
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- - Each entry in the dataset consists of an image along with the corresponding abstract text extracted from the introductory section of Vietnamese Wikipedia articles.
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  - The images are diverse in content, ranging from objects and scenes to landmarks and people, providing a rich and varied set of visual information.
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  ### Data Collection:
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  ### Data Preprocessing:
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  - Image Format: The images are provided in a standardized JPG format.
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- - Text Preprocessing: The textual abstracts have undergone basic preprocessing steps such as removal of unnecessary brackets which are mainly use in XML, removal of unknown character such as: '\u00A0',removal of the tagging of comment: [1],[2],[3],..., removal of unnecessary empty lines inside each text,....
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  ### Potential Challenges:
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  ### Dataset Summary
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+ Dataset Summary: Image-Text Wikipedia Abstracts (Vietnamese version) <br>
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  This dataset comprises nearly 380.000 pairs of images and corresponding textual abstracts extracted from Vietnamese Wikipedia articles. The dataset is designed to facilitate research and development in the field of multimodal learning, particularly in tasks that involve understanding and processing both textual and visual information.
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  Description:
 
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  - Total Textual Abstracts: 374748
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  Dataset Composition:
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+ - Each entry in the dataset consists of an image along with the corresponding abstract text extracted from the introductory section of Vietnamese Wikipedia articles.<br>
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  - The images are diverse in content, ranging from objects and scenes to landmarks and people, providing a rich and varied set of visual information.
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  ### Data Collection:
 
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  ### Data Preprocessing:
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  - Image Format: The images are provided in a standardized JPG format.
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+ - Text Preprocessing: The textual abstracts have undergone basic preprocessing steps such as removal of unnecessary brackets which are mainly use in XML, removal of unknown character such as: '\u00A0', removal of the tagging of comment: [1],[2],[3],..., removal of unnecessary empty lines inside each text,....
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  ### Potential Challenges:
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