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--- |
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license: apache-2.0 |
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language: |
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- multilingual |
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- af |
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- am |
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- ar |
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- as |
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- azb |
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- be |
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- bg |
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- bm |
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- bn |
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- bo |
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- bs |
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- ca |
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- ceb |
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- cs |
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- cy |
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- da |
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- de |
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- du |
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- el |
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- en |
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- eo |
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- es |
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- et |
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- eu |
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- fa |
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- fi |
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- fr |
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- ga |
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- gd |
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- gl |
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- ha |
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- hi |
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- hr |
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- ht |
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- hu |
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- id |
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- ig |
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- is |
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- it |
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- iw |
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- ja |
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- jv |
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- ka |
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- ki |
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- kk |
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- km |
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- ko |
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- la |
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- lb |
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- ln |
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- lo |
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- lt |
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- lv |
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- mi |
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- mr |
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- ms |
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- mt |
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- my |
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- 'no' |
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- oc |
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- pa |
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- pl |
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- pt |
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- qu |
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- ro |
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- ru |
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- sa |
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- sc |
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- sd |
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- sg |
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- sk |
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- sl |
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- sm |
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- so |
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- sq |
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- sr |
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- ss |
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- sv |
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- sw |
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- ta |
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- te |
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- th |
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- ti |
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- tl |
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- tn |
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- tpi |
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- tr |
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- ts |
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- tw |
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- uk |
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- ur |
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- uz |
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- vi |
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- war |
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- wo |
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- xh |
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- yo |
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- zh |
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- zu |
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task_categories: |
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- image-to-text |
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tags: |
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- ocr |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Synthdog Multilingual |
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<!-- Provide a quick summary of the dataset. --> |
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The Synthdog dataset created for training in [Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model](https://gregor-ge.github.io/Centurio/). |
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Using the [official Synthdog code](https://github.com/clovaai/donut/tree/master/synthdog), we created >1 million training samples for improving OCR capabilities in Large Vision-Language Models. |
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## Dataset Details |
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We provide the images for download in two `.tar.gz` files. Download and extract them in folders of the same name (so `cat images.tar.gz.* | tar xvzf -C images; tar xvzf images.tar.gz -C images_non_latin`). |
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The image path in the dataset expects images to be in those respective folders for unique identification. |
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Every language has the following amount of samples: 500,000 for English, 10,000 for non-Latin scripts, and 5,000 otherwise. |
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Text is taken from Wikipedia of the respective languages. Font is `GoNotoKurrent-Regular`. |
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> Note: Right-to-left written scripts (Arabic, Hebrew, ...) are unfortunatly writte correctly right-to-left but also bottom-to-top. We were not able to fix this issue. However, empirical results in Centurio suggest that this data is still helpful for improving model performance. |
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> |
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## Citation |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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``` |
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@article{centurio2025, |
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author = {Gregor Geigle and |
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Florian Schneider and |
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Carolin Holtermann and |
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Chris Biemann and |
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Radu Timofte and |
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Anne Lauscher and |
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Goran Glava\v{s}}, |
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title = {Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model}, |
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journal = {arXiv}, |
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volume = {abs/2501.05122}, |
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year = {2025}, |
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url = {https://arxiv.org/abs/2501.05122}, |
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eprinttype = {arXiv}, |
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eprint = {2501.05122}, |
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} |
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``` |
