Update README.md

README.md

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