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--- |
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license: apache-2.0 |
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task_categories: |
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- visual-question-answering |
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language: |
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- en |
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- zu |
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- id |
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- it |
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- de |
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- th |
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- ar |
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- ko |
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- zh |
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- hi |
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- ru |
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tags: |
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- multilingual |
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- OCR |
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- Plot |
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size_categories: |
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- n<1K |
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--- |
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# SMPQA (Synthetic Multilingual Plot QA) |
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<!-- Provide a quick summary of the dataset. --> |
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The SMPQA evaluation dataset proposed in [Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model](https://gregor-ge.github.io/Centurio/). |
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SMPQA is composed of synthetic bar plots and pie charts (generated using word lists of different languages) together with questions about those plots. |
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The datasets aims at providing an initial way of evaluating multilingual OCR capabilities of models in arbritrary languages. |
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There are two sub-tasks: |
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1. *Grounding* text labels from the question to the image to answer yes/no questions ("Is the bar with label X the tallest?") |
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2. *Reading* labels from the plot based on the question ("What is the label of the red bar?") |
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For more details, check out our paper. |
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## Dataset Details |
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The data is structured as follows for every language (11 languages right now; found in `smpqa.zip`): |
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- `bar_annotations_$lang.json` and `pie_annotations_$lang.json` contain the questions and answers for all images. |
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We provide unpacked examples for English for easy viewing. |
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There are 8 *grounding* and 5 *reading* questions per plot. |
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- Images `bar_plot_$i.png` and `pie_plot_$i.png` ranging from 0 to 49 (= 100 plots in total per language). We provide two unpacked English example images. |
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## Extending to New Languages |
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SMPQA is easy to expand to new languages. |
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We provide the code and the plot definitions (i.e., colors, size, etc.) used to generate the existing plots. |
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This way, you can create plots and questions that are identical and thus comparable to the existing plots in new languages. |
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Currently, we use word lists from [this source](https://github.com/frekwencja/most-common-words-multilingual) but other sources can also work. |
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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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``` |
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