---
task_categories:
- image-classification
pretty_name: Multilingual Document Type Classification
size_categories:
- 10K<n<100K
language:
- ar
- bg
- de
- en
- es
- fr
- hi
- it
- ja
- ru
- zh
tags:
- document-classification
- computer-vision
- multilingual
---

# DocLang: Multilingual Document Type Classification

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.

## Dataset Structure

The dataset is organized by language code:
- `ar/` - Arabic (1,200 images)
- `bg/` - Bulgarian (1,200 images)
- `de/` - German (1,200 images)
- `en/` - English (1,200 images)
- `es/` - Spanish (1,200 images)
- `fr/` - French (1,200 images)
- `hi/` - Hindi (1,200 images)
- `it/` - Italian (1,200 images)
- `ja/` - Japanese (1,200 images)
- `ru/` - Russian (1,200 images)
- `zh/` - Chinese (1,200 images)

All images are in JPG format and represent the **test split**.

## Task

This dataset is designed for image-based document type classification.