Datasets:
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README.md
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---
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task_categories:
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- image-classification
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pretty_name: Multilingual Document Type Classification
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size_categories:
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- 10K<n<100K
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language:
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- ar
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- bg
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- de
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- en
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- es
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- fr
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- hi
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- it
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- ja
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- ru
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- zh
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tags:
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- document-classification
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- computer-vision
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- multilingual
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---
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# DocLang: Multilingual Document Type Classification
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A multilingual document type classification dataset for identifying various document and visual content types. The dataset contains 13,200 images across 11 languages, with 1,200 images per language.
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## Dataset Structure
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The dataset is organized by language code:
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- `ar/` - Arabic (1,200 images)
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- `bg/` - Bulgarian (1,200 images)
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- `de/` - German (1,200 images)
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- `en/` - English (1,200 images)
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- `es/` - Spanish (1,200 images)
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- `fr/` - French (1,200 images)
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- `hi/` - Hindi (1,200 images)
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- `it/` - Italian (1,200 images)
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- `ja/` - Japanese (1,200 images)
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- `ru/` - Russian (1,200 images)
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- `zh/` - Chinese (1,200 images)
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All images are in JPG format and represent the **test split**.
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## Task
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This dataset is designed for image-based document type classification.
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