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@@ -21,10 +21,6 @@
 | OCRBench Images | [OCRBench Images](https://drive.google.com/file/d/1a3VRJx3V3SdOmPr7499Ky0Ug8AwqGUHO/view?usp=drive_link) | This file only contains the images used in OCRBench. |
 | Test Results | [Test Results](https://drive.google.com/drive/folders/15XlHCuNTavI1Ihqm4G7u3J34BHpkaqyE?usp=drive_link) | This file file contains the result files for the test models. |
 
-# Related Dataset
-| Data | Link | Description |
-| --- | --- | --- |
-| EST-VQA Dataset | [Link](https://github.com/xinke-wang/EST-VQA) | On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. |
 
 # OCRBench
 
@@ -47,6 +43,14 @@ python ./scripts/monkey.py --image_folder ./OCRBench_Images --OCRBench_file ./OC
 
 ```
 
+# Other Related Multilingual Datasets
+| Data | Link | Description |
+| --- | --- | --- |
+| EST-VQA Dataset (CVPR 2020, English and Chinese) | [Link](https://github.com/xinke-wang/EST-VQA) | On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. |
+| Swahili Dataset (ICDAR 2024) | [Link](https://arxiv.org/abs/2405.11437) | The First Swahili Language Scene Text Detection and Recognition Dataset. |
+| Urdu Dataset (ICDAR 2024) | [Link](https://arxiv.org/abs/2405.12533) | Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question Answering. |
+| MTVQA (9 languages) | [Link](https://arxiv.org/abs/2405.11985) | MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering. |
+
 # Citation
 If you wish to refer to the baseline results published here, please use the following BibTeX entries:
 ```BibTeX